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  • PANGAEA  (7.911)
  • 2020-2024  (7.911)
  • 1935-1939
  • 2023  (7.911)
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  • 2020-2024  (7.911)
  • 1935-1939
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  • 1
    Publikationsdatum: 2023-08-25
    Beschreibung: Surface air temperature measurements obtained from different sensors are used to construct a unique time series with one minute time-interval. Apart from differences in design and environmental exposition, periods of missing data also exist in the data series of each sensor. A primary data set was selected in terms of quality and temporal extension. A combination of two different techniques is applied to complete this data set: one is based on the autocorrelation of the series and the other on measurements taken from other sensors. The resulting values constitute a complete series of surface air temperature at AGGO.
    Materialart: info:eu-repo/semantics/workingPaper
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  • 2
    Publikationsdatum: 2023-09-18
    Beschreibung: Surface air temperature measurements obtained from different sensors are used to construct a unique time series with one minute time-interval. Apart from differences in design and environmental exposition, periods of missing data also exist in the data series of each sensor. A primary data set was selected in terms of quality and temporal extension. A combination of two different techniques is applied to complete this data set: one is based on the autocorrelation of the series and the other on measurements taken from other sensors. The resulting values constitute a complete series of surface air temperature at AGGO.
    Materialart: info:eu-repo/semantics/workingPaper
    Standort Signatur Erwartet Verfügbarkeit
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  • 3
    Publikationsdatum: 2024-01-24
    Beschreibung: This dataset contain stable isotope values for water samples collected ~weekly from the Rio Bermejo at the Lavalle bridge (-25.6513, -60.1277) from March 2016 to February 2018. Water samples were filtered to 0.2 micron using a custom filtration device. We measured d2H and d18O on a Picarro L-2140i Cavity Ring-Down Spectrometer at the GFZ Potsdam. Measurements were made in duplicate, normalized to the Vienna Standard Mean Ocean Water (VSMOW), and analytical uncertainty is reported as one standard deviation from the mean. River discharge was measured at the El Colorado gauging station, which is ~100 km down slope from the sampling location.
    Sprache: Englisch
    Materialart: info:eu-repo/semantics/workingPaper
    Standort Signatur Erwartet Verfügbarkeit
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  • 4
    Publikationsdatum: 2024-01-24
    Beschreibung: This dataset provides the geochemistry data for the Holocene sediment sequence retrieved from Lake Uddelermeer (The Netherlands) in 2012. Additionally, alkane concentrations for a set of modern leaf samples are provided. Concentrations of fossil alkanes, GDGTs as well as elemental (C, N, S, H) and compound-specific delta Deuterium measurements are presented against both depth (cm) and age (cal yr. BP). A total of 59 samples were analysed. Modern leaf alkane concentrations are presented as concentrations, 10 samples were analysed. The geochemical data provides information about regional vegetation change as well as changes in effective precipitation. It was produced to inform on the age and duration of major environmental transitions during the middle and late Holocene. Cores were retrieved from the lake using a 3-m long handheld piston corer deployed from a floating coring platform during field work in April and May 2012. Samples were obtained from splits of the core and processed in the laboratory of the University of Amsterdam (the Netherlands) using standard protocols (CNHS, alkane concentrations), the laboratory of Utrecht University (the Netherlands; GDGT concentrations) and at GFZ Potsdam (Germany; delta Deuterium). Name of the Campaign: UDD Event Label: UDD-E Method: Uwitec piston corer Latitude: 52.24652778 Longitude: 5.76097222 Elevation: 24m asl Date/Time of event: 2012-05-01T14:00:00 Further information about event: Lake sediment sequence retrieved using a 60 mm piston corer deployed from a floating platform.
    Sprache: Englisch
    Materialart: info:eu-repo/semantics/workingPaper
    Standort Signatur Erwartet Verfügbarkeit
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  • 5
    Publikationsdatum: 2024-01-24
    Beschreibung: Water samples were filtered to 0.2 micron prior to measurement. Samples for cation analysis were acidified in the field to pH 〈 2 using 6N HNO3. Cation concentrations were measured with a Varian 720 inductively coupled plasma optical emission spectrometer (ICP-OES) at the GFZ Helmholtz Laboratory for the Geochemistry of the Earth Surface (HELGES), using SLRS-5 (Saint-Laurent River Surface, National Research Council - Conseil National de Recherches Canada) and USGS M212 and USGS T187 as external standards. We corrected for instrument drift by measuring an internal standard (GFZ-RW1) every 10 samples and we determined measurement uncertainty using calibration curve uncertainty. Anion concentrations were measured with a Dionex ICS1100 Ion Chromatograph, using USGS standards M206 and M212 as external standards for quality control, with uncertainty determined from triplicate analysis. We corrected cation concentrations for cyclic salt inputs following Bickle et al. (2005, doi:10.1016/j.gca.2004.11.019).
    Sprache: Englisch
    Materialart: info:eu-repo/semantics/workingPaper
    Standort Signatur Erwartet Verfügbarkeit
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  • 6
    Publikationsdatum: 2024-01-19
    Beschreibung: Presented are analytical data from lacustrine sediment cores, retrieved from Lake Nam Co (Tibetan Plateau). The sediment core is a composite of one gravity core, taken with a Rumohr-Meischner gravity corer (63 mm diameter) and a piston core, retrieved using an uwitec piston coring system (http://www.uwitec.at; 90 mm diameter). The composite core labelled 〈NC 08/01〉 comprises a total length of 10.378 m. The cores were obtained at N 30.737417, E 090.790333 at a water depth of 93 m on 2008-09-15. The purpose of obtaining this sediment core was to establish a high-resolution record of climate (monsoonal) and environmental change using multiple proxy data. The dataset comprises analytical data based on sedimentological, inorganic geochemical, mineralogical and isotope-geochemical methods. Specifically: sediment water content & density; magnetic susceptibility; particel size data; quantitative inorganic geochemical data (ICP-OES aqua regia and HCL digestions); semi-quantitative XRF elemental data; carbon, nitrogen, sulfur contents; qualitative mineralogical data; bulk sediment stable carbon and oxygen isotope data.
    Sprache: Englisch
    Materialart: info:eu-repo/semantics/workingPaper
    Standort Signatur Erwartet Verfügbarkeit
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  • 7
    Publikationsdatum: 2024-01-19
    Beschreibung: This data set is part of a larger data harmonization effort to make lake sediment core data machine readable and comparable. Here we standardized X-ray fluorescence line scanning (XRF)-based element data of sediment core EN18208, retrieved in 2018 from Lake Ilirney (Chukotka, Russia) at 10.76 m water depth. The glacial lake Ilirney is situated in the forest tundra mountain area and has one outflow, one main inflow and several smaller inflows. It lies at an elevation of ca. 428 m a.s.l. with a surface area of ca. 30 km2 and a maximum lake water depth of estimated 44 m. The 10.76 m sediment core was retrieved by a UWITEC piston corer during the RU-Land_2018_Chukotka expedition of the Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research (AWI, Germany, Potsdam) in cooperation with the North Eastern Federal State University (NEFU, Russia, Yakutsk). The downcore elemental composition was measured using an AVAATECH x-ray fluorescence core scanner at Bundesanstalt für Geowissenschaften und Rohstoffe (BGR) in Berlin, Spandau.
    Sprache: Englisch
    Materialart: info:eu-repo/semantics/workingPaper
    Standort Signatur Erwartet Verfügbarkeit
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  • 8
    Publikationsdatum: 2024-01-19
    Beschreibung: This data set is part of a larger data harmonization effort to make lake sediment core data machine readable and comparable. Here we standardized radiocarbon and OSL age data of sediment core EN18208, retrieved in 2018 from Lake Ilirney (Chukotka, Russia) at 10.76 m water depth. The glacial lake Ilirney is situated in the forest tundra mountain area and has one outflow, one main inflow and several smaller inflows. It lies at an elevation of ca. 428 m a.s.l. with a surface area of ca. 30 km2 and a maximum lake water depth of estimated 44 m. The 10.76 m sediment core was retrieved by a UWITEC piston corer during the RU-Land_2018_Chukotka expedition of the Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research (AWI, Germany, Potsdam) in cooperation with the North Eastern Federal State University (NEFU, Russia, Yakutsk). Radiocarbon data have been analysed from bulk sediment samples in Bremerhaven at the MICADAS laboratory. Optically stimulated luminescence (OSL) dating was performed at the Royal Holloway Luminescence Laboratory using a Risø TL/OSL-DA-15 automated dating system.
    Sprache: Englisch
    Materialart: info:eu-repo/semantics/workingPaper
    Standort Signatur Erwartet Verfügbarkeit
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  • 9
    Publikationsdatum: 2024-01-19
    Beschreibung: A 25-cm long predominantly aragonite stalagmite was collected November 2, 2005 from Dharamjali Cave (29.5°N, 80.2°E) in the central Himalayas. This dataset contains stable isotope, trace element, XRF, U/Th dating, and dripwater data. The age model spans 4.2 to 2.3 ka BP, and the dataset records seasonal shifts in hydroclimate from 4.2 to 3.1 ka BP. Using the DHAR-1A half of the speleothem, 750 samples were milled at 100–300 µm resolution for stable isotope analysis (δ18O and δ13C) and analyzed at GFZ Potsdam. Further high-resolution stable isotope analysis at the University of Cambridge included 876 samples from the bottom 4 cm of the mirroring slab DHAR-1B, covering c. 4.2–3.6 ka BP. The δ44/40Ca measurements were made on 60 aragonite samples of aragonite and 1 calcite sample milled between 4.2 and 2.8 ka BP. The elemental composition of DHAR-1B was determined first with an Avaatech XRF scanner at the University of Cambridge, and later using laser ablation inductively-coupled plasma mass spectrometry (LA-ICP-MS) at the University of Waikato. U-series dating was performed at Caltech on 22 samples. Twelve U-series ages (between 2.55 and 4.14 ka BP) were used to construct the age models, using ensembles of 2000 Monte Carlo simulations for each proxy using the MATLAB-based COPRA script (Breitenbach et al., 2012, https://doi.org/10.5194/cp-8-1765-2012).
    Sprache: Englisch
    Materialart: info:eu-repo/semantics/workingPaper
    Standort Signatur Erwartet Verfügbarkeit
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  • 10
    Publikationsdatum: 2024-01-19
    Beschreibung: This data set is part of a larger data harmonization effort to make lake sediment core data machine readable and comparable. Here we standardized grain size element data of sediment core EN18208, retrieved in 2018 from Lake Ilirney (Chukotka, Russia) at 10.76 m water depth. The glacial lake Ilirney is situated in the forest tundra mountain area and has one outflow, one main inflow and several smaller inflows. It lies at an elevation of ca. 428 m a.s.l. with a surface area of ca. 30 km2 and a maximum lake water depth of estimated 44 m. The 10.76 m sediment core was retrieved by a UWITEC piston corer during the RU-Land_2018_Chukotka expedition of the Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research (AWI, Germany, Potsdam) in cooperation with the North Eastern Federal State University (NEFU, Russia, Yakutsk). Grain-size was measured using a Malvern Mastersizer 3000 laser diffraction particle analyser.
    Sprache: Englisch
    Materialart: info:eu-repo/semantics/workingPaper
    Standort Signatur Erwartet Verfügbarkeit
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  • 11
    Publikationsdatum: 2024-01-19
    Beschreibung: This data set is part of a larger data harmonization effort to make lake sediment core data machine readable and comparable. Here we standardized mineral data of sediment core EN18208, retrieved in 2018 from Lake Ilirney (Chukotka, Russia) at 10.76 m water depth. The glacial lake Ilirney is situated in the forest tundra mountain area and has one outflow, one main inflow and several smaller inflows. It lies at an elevation of ca. 428 m a.s.l. with a surface area of ca. 30 km2 and a maximum lake water depth of estimated 44 m. The 10.76 m sediment core was retrieved by a UWITEC piston corer during the RU-Land_2018_Chukotka expedition of the Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research (AWI, Germany, Potsdam) in cooperation with the North Eastern Federal State University (NEFU, Russia, Yakutsk). Bulk mineralogy was analysed by (x-ray diffractometry (XRD) using a (PHILIPS, Netherlands) PW1820 goniometer.
    Sprache: Englisch
    Materialart: info:eu-repo/semantics/workingPaper
    Standort Signatur Erwartet Verfügbarkeit
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  • 12
    Publikationsdatum: 2024-01-19
    Beschreibung: This data set is part of a larger data harmonization effort to make lake sediment core data machine readable and comparable. Here we standardized radiocarbon and OSL age data of sediment core EN18208, retrieved in 2018 from Lake Ilirney (Chukotka, Russia) at 10.76 m water depth. The glacial lake Ilirney is situated in the forest tundra mountain area and has one outflow, one main inflow and several smaller inflows. It lies at an elevation of ca. 428 m a.s.l. with a surface area of ca. 30 km2 and a maximum lake water depth of estimated 44 m. The 10.76 m sediment core was retrieved by a UWITEC piston corer during the RU-Land_2018_Chukotka expedition of the Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research (AWI, Germany, Potsdam) in cooperation with the North Eastern Federal State University (NEFU, Russia, Yakutsk). Water content and organic matter was analysed at AWI Potsdam. Dried and milled samples were analysed using a Vario EL III carbon-nitrogen-sulphur analyser. Organic carbon content was determined using a Vario MAX C analyser.
    Sprache: Englisch
    Materialart: info:eu-repo/semantics/workingPaper
    Standort Signatur Erwartet Verfügbarkeit
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  • 13
    Publikationsdatum: 2023-03-14
    Beschreibung: Barium (Ba) isotopes are a promising new tracer for riverine freshwater input to the ocean and marine biogeochemical cycling. However, many processes that affect Ba cycling at continental margins have not yet been investigated with respect to Ba isotope fractionation. We present a comprehensive data set of Ba concentration and isotope data for water column, pore water and sediment samples from Kiel Bight, a seasonally stratified and hypoxic fjord in the southwestern Baltic Sea.
    Schlagwort(e): AL543; AL543_10-1; AL543_13-1; AL543_8-1; Alkor (1990); Baltic Sea; Barium; CTD/Rosette; CTD-RO; Depth, bathymetric; DEPTH, water; Event label; Manganese; Saturation index; The Little Belt
    Materialart: Dataset
    Format: text/tab-separated-values, 120 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 14
    Publikationsdatum: 2023-03-14
    Beschreibung: Barium (Ba) isotopes are a promising new tracer for riverine freshwater input to the ocean and marine biogeochemical cycling. However, many processes that affect Ba cycling at continental margins have not yet been investigated with respect to Ba isotope fractionation. We present a comprehensive data set of Ba concentration and isotope data for water column, pore water and sediment samples from Kiel Bight, a seasonally stratified and hypoxic fjord in the southwestern Baltic Sea.
    Schlagwort(e): AL543; AL543_10-1; AL543_13-1; AL543_8-1; Alkor (1990); Baltic Sea; Barium; CTD/Rosette; CTD-RO; DEPTH, water; Event label; Replicates; Standard deviation; The Little Belt; δ138Ba
    Materialart: Dataset
    Format: text/tab-separated-values, 68 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 15
    Publikationsdatum: 2023-03-14
    Beschreibung: Barium (Ba) isotopes are a promising new tracer for riverine freshwater input to the ocean and marine biogeochemical cycling. However, many processes that affect Ba cycling at continental margins have not yet been investigated with respect to Ba isotope fractionation. We present a comprehensive data set of Ba concentration and isotope data for water column, pore water and sediment samples from Kiel Bight, a seasonally stratified and hypoxic fjord in the southwestern Baltic Sea.
    Schlagwort(e): AL543; AL543_10-2; AL543_13-2; AL543_8-4; Alkor (1990); Baltic Sea; Barium; Comment; DEPTH, sediment/rock; Event label; Manganese; MIC; MiniCorer; Replicates; Saturation index; Standard deviation; Sulfate; The Little Belt; δ138Ba
    Materialart: Dataset
    Format: text/tab-separated-values, 271 data points
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  • 16
    Publikationsdatum: 2023-03-14
    Beschreibung: Barium (Ba) isotopes are a promising new tracer for riverine freshwater input to the ocean and marine biogeochemical cycling. However, many processes that affect Ba cycling at continental margins have not yet been investigated with respect to Ba isotope fractionation. We present a comprehensive data set of Ba concentration and isotope data for water column, pore water and sediment samples from Kiel Bight, a seasonally stratified and hypoxic fjord in the southwestern Baltic Sea.
    Schlagwort(e): AL543; AL543_10-2; AL543_13-2; AL543_8-4; Alkor (1990); Aluminium; Baltic Sea; Barium; Carbon, organic, total; Comment; DEPTH, sediment/rock; Event label; MIC; MiniCorer; Porosity; Replicates; Standard deviation; The Little Belt; Water content, wet mass; δ138Ba
    Materialart: Dataset
    Format: text/tab-separated-values, 282 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 17
    facet.materialart.
    Unbekannt
    PANGAEA
    Publikationsdatum: 2023-03-14
    Beschreibung: Barium (Ba) isotopes are a promising new tracer for riverine freshwater input to the ocean and marine biogeochemical cycling. However, many processes that affect Ba cycling at continental margins have not yet been investigated with respect to Ba isotope fractionation. We present a comprehensive data set of Ba concentration and isotope data for water column, pore water and sediment samples from Kiel Bight, a seasonally stratified and hypoxic fjord in the southwestern Baltic Sea.
    Schlagwort(e): Aluminium; Barium; Distance; Event label; HAND; Replicates; Sampling by hand; Schoenhagen; Standard deviation; Stohl; δ138Ba
    Materialart: Dataset
    Format: text/tab-separated-values, 126 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 18
    Publikationsdatum: 2023-03-24
    Beschreibung: Transport, distribution and remobilization processes of sediments and suspended matter of the Wadden Sea or within the marine areas have a major influence on the pollution situation of the these areas. The combined analysis of element fingerprints and isotope ratios of selected elements is suitable to provide valuable insights into the origin, transport pathways and distribution of sediments and suspended sediments within the study area. Thus, sediment and freshwater samples were taken from the German part of the Elbe river and its tributaries in August and October 2015 to identify their elemental and isotopic fingerprint and to investigate potential inputs of this major river system into the German Bight. All sediment samples were taken using a box grab and were analyzed for their grain size distribution by laser diffraction.
    Schlagwort(e): Alte Harb. Elbbruecke; Artlenburg; BC; Belgern; Bielenberg Leuchtf.; Billwerder Inseln; Blankenese; Box corer; Breitenhagen rechts; Brunsbuettel Elbhafen; Bunthausspitze; Coswig rechts; DATE/TIME; DEPTH, sediment/rock; Device type; Doemitz rechts; Elbe and North Sea; Elbstorf; ELEVATION; Event label; Geesthacht; Glameyer; Glueckstadt; Grain size, LASER Particle Sizer; Grauerort; Havel/Kanalmuendung; Havel/Schleusenkanal; Helmholtz-Zentrum Hereon; Hereon; Hinzdorf rechts; Hohenwarthe rechts; Hohnstorf; Hollerwettern; Jahna; Koehlbrand; Kugelbake; LATITUDE; Lauenburg links; LONGITUDE; 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_2; LP_2015_08_S_29; LP_2015_08_S_3; LP_2015_08_S_30_2; LP_2015_08_S_31_2; LP_2015_08_S_32; LP_2015_08_S_33_3; LP_2015_08_S_34_2; LP_2015_08_S_35_2; LP_2015_08_S_36; LP_2015_08_S_37_1; LP_2015_08_S_38_1; LP_2015_08_S_39_1; LP_2015_08_S_4; LP_2015_08_S_40_1; LP_2015_08_S_41_1; LP_2015_08_S_42_1; LP_2015_08_S_43_1; LP_2015_08_S_44_1; LP_2015_08_S_45_1; LP_2015_08_S_46_1; LP_2015_08_S_47_1; LP_2015_08_S_48; LP_2015_08_S_49_1; LP_2015_08_S_5; LP_2015_08_S_50_1; LP_2015_08_S_51_1; LP_2015_08_S_52_1; LP_2015_08_S_53_1; LP_2015_08_S_54_1; LP_2015_08_S_55_1; LP_2015_08_S_56_1; LP_2015_08_S_57_1; LP_2015_08_S_58_1; LP_2015_08_S_59_1; LP_2015_08_S_6; LP_2015_08_S_60_1; LP_2015_08_S_61_1; LP_2015_08_S_62; LP_2015_08_S_63; LP_2015_08_S_64; LP_2015_08_S_65_2; LP_2015_08_S_66; LP_2015_08_S_67; LP_2015_08_S_68_1; LP_2015_08_S_69; LP_2015_08_S_7; LP_2015_08_S_71_2; LP_2015_08_S_72_1; LP_2015_08_S_73_1; LP_2015_08_S_74; LP_2015_08_S_8; LP_2015_08_S_9; LP201508; Lt. Vogelsand; Ludwig Prandtl; Luehemuendung; Magdeburg rechts; Mueglitz Muendung; Muldemuendung; MULT; Multiple investigations; Neu Darchau rechts; Neue Elbbruecken; Neufeld; Neuland; Neumuehlen; Niegrip/Elbe-Havelkanal; Nienstedten; Optional event label; Oste; Otterndorf; Pegel Brockdorf; Pillnitz; Pretzsch rechts; Rosslau links; Rosslau rechts; Saale; Saalemuendung; Sample code/label; Sandau rechts; Scharfenberg; Scharhoernriff; Schmilka; Schnackenburg rechts; Schoenebeck rechts; Schulau; Schwarze Elster Muendung; Schwinge; Seemannshoeft; Size fraction 〈 0.020 mm; Size fraction 〈 0.020 mm, standard deviation; Size fraction 〈 0.063 mm, mud, silt+clay; Size fraction 〈 0.063 mm, mud, silt+clay, standard deviation; Size fraction 〈 0.125 µm; Size fraction 〈 0.125 mm, standard deviation; Size fraction 〈 0.250 mm; Size fraction 〈 0.250 mm, standard deviation; St. Magarethen; Stoer; Strehla rechts; Tangermuende rechts; Tonne 107; Tonne 112; Tonne 53; Tonne 57; Tonne 91 gruen; Tonne 96 rot; Torgau rechts; Triebisch; Wahrenberg rechts; Wittenberg rechts; Zehren; Zollenspieker
    Materialart: Dataset
    Format: text/tab-separated-values, 730 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 19
    Publikationsdatum: 2023-03-21
    Beschreibung: The measurements were carried out 27 March–6 April 2020 on small ice-covered shallow Lake Vendyurskoe (62.215784N, 33.262784E, North-Western of Russia). Surface area of the lake is 10.4 km2, its mean and maximal depths are 5.3 and 13.4 m. The maximal length of the lake is 7 km; and the average width is 1.5 km. The mooring equipment was deployed on the ice 350 m from the northern shore, with a location depth of ~ 7 m. The measuring complex included a pyranometer placed directly under the ice to measure downwelling irradiance (a M-80m universal pyranometer, produced in Russia, accuracy 1 W m-2, sampling frequency one minute), two Star-shaped pyranometers (Theodor Friderich & Co, Meteorologishe Gerate und Systeme, Germany, accuracy 0.2 W/m2, sampling interval one minute) placed at one meter above ice surface to measure downwelling and upwelling irradiance, thermistor chain (13 temperature sensors TR-1060 RBR, Canada, accuracy ±0.002°C, resolution ±0.00005°C, sampling frequency 10 s; sensors were placed at intervals of 0.5 m, starting from 0.2 m from the ice bottom to a depth of 6.2 m), and two ADCPs (2 MHz HR Aquadopp current velocity profiler, Nortek AS, Norway). The two ADCPs were mounted on a special retaining frame that rigidly fixed the instruments on the ice and to each other. Both devices were installed in a hole with emitters located 3 cm below the lower ice boundary. For the entire measurement period, the devices were set up as follows: signal discreteness was one minute (32 pulses with a frequency of 2 Hz), depth scanning range was 2.875 m (115 cells with a size of 25 mm). To exclude the mutual influence of the two ADCPs, the emitters were set in an asynchronous mode with a 30 s delay. In the first stage of experiment – from 17:00 LT (local time = UTC + 3 h) on 27 March 2020 to 09:30 LT on 30 March 2020 – the ADCPs emitters were located at a distance of 1.5 m from each other, and at a depth of 1.61 m one beam from each of the devices intersected. In the second stage – from 10:00 LT on 30 March 2020 to 10:00 LT on 6 April 2020 – the distance between the emitters was 0.75 m and two pairs of beams intersected at the same depth.
    Schlagwort(e): Acoustic Doppler Current Profiler; ADCP; Current velocity; DATE/TIME; Date/Time local; Field measurement; Number; Vendyurskoe2020
    Materialart: Dataset
    Format: text/tab-separated-values, 48285824 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 20
    Publikationsdatum: 2023-03-21
    Beschreibung: The measurements were carried out 27 March–6 April 2020 on small ice-covered shallow Lake Vendyurskoe (62.215784N, 33.262784E, North-Western of Russia). Surface area of the lake is 10.4 km2, its mean and maximal depths are 5.3 and 13.4 m. The maximal length of the lake is 7 km; and the average width is 1.5 km. The mooring equipment was deployed on the ice 350 m from the northern shore, with a location depth of ~ 7 m. The measuring complex included a pyranometer placed directly under the ice to measure downwelling irradiance (a M-80m universal pyranometer, produced in Russia, accuracy 1 W m-2, sampling frequency one minute), two Star-shaped pyranometers (Theodor Friderich & Co, Meteorologishe Gerate und Systeme, Germany, accuracy 0.2 W/m2, sampling interval one minute) placed at one meter above ice surface to measure downwelling and upwelling irradiance, thermistor chain (13 temperature sensors TR-1060 RBR, Canada, accuracy ±0.002°C, resolution ±0.00005°C, sampling frequency 10 s; sensors were placed at intervals of 0.5 m, starting from 0.2 m from the ice bottom to a depth of 6.2 m), and two ADCPs (2 MHz HR Aquadopp current velocity profiler, Nortek AS, Norway). The two ADCPs were mounted on a special retaining frame that rigidly fixed the instruments on the ice and to each other. Both devices were installed in a hole with emitters located 3 cm below the lower ice boundary. For the entire measurement period, the devices were set up as follows: signal discreteness was one minute (32 pulses with a frequency of 2 Hz), depth scanning range was 2.875 m (115 cells with a size of 25 mm). To exclude the mutual influence of the two ADCPs, the emitters were set in an asynchronous mode with a 30 s delay. In the first stage of experiment – from 17:00 LT (local time = UTC + 3 h) on 27 March 2020 to 09:30 LT on 30 March 2020 – the ADCPs emitters were located at a distance of 1.5 m from each other, and at a depth of 1.61 m one beam from each of the devices intersected. In the second stage – from 10:00 LT on 30 March 2020 to 10:00 LT on 6 April 2020 – the distance between the emitters was 0.75 m and two pairs of beams intersected at the same depth.
    Schlagwort(e): Acoustic Doppler Current Profiler; ADCP; Current velocity; DATE/TIME; Date/Time local; Field measurement; Number; Vendyurskoe2020
    Materialart: Dataset
    Format: text/tab-separated-values, 58739456 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 21
    Publikationsdatum: 2023-03-25
    Beschreibung: Impact of Local Iron Enrichment on the Small Benthic Biota in the deep Arctic Ocean The study assesses the impact of local iron enrichment on the small benthic biota (bacteria, meiofauna) together with environmental parameters indicating the input of food at the deep seafloor. To evaluate the hypothesis that abundance, distribution, and diversity of the small benthic biota varies in relation to a local input of structural steel at the seabed, we analyzed sediment samples and the associated infauna along a short transect with increasing distance to an iron source, i.e., corroding steel weights of a free-falling observational platform (bottom-lander), lying on the seafloor for approximately seven years. Iron-enriched surface sediments in the vicinity of the bottom-weight left in summer 2008 after a short-term deployment of a bottom-lander in 2433 m water depth at the LTER (Long-Term Ecological Research) observation HAUSGARTEN in eastern parts of the Fram Strait were sampled on 28th July 2015 using push-corer (PC) handled by the Remotely Operated Vehicle (ROV) QUEST 4000 (MARUM Center for Marine Environmental Sciences, Germany) during Dive 369 from board RV Polarstern. The block-shaped steel bottom-weights (30 x 30 x 6 cm) were sitting about half of the height sunken into the seafloor and thus, almost not affecting near-bottom currents. During sampling in 2015, the plates were largely corroded. Surface sediments around the plates had an orange-red color with a gradient of decreasing color intensity with increasing distance from the source, i.e., the bottom weight. A total of eight push-corer samples (PC1-8) were taken at approx. regular distances (on average every 18 cm) along a short transect (about 1.5 m) crossing the iron gradient. Push-corers PC1-4 retrieved sediment from heavily impacted sediments, while samples taken from push-corers PC5-8 were visually indistinguishable from background sediments in the wider area. After recovery of the ROV, sediment cores (8 cm in diameter, and 20-25 cm in height) were sub-sampled using plastic syringes with cut-off anterior ends for meiofauna and nematode communities as well as for environmental parameters. The position specified in the data sets (longitude / latitude) refers to the position of the ROV.
    Schlagwort(e): Deep sea; Hausgarten; iron; Long-term Investigation at AWI-Hausgarten off Svalbard; meiofauna; Nematoda; sediments
    Materialart: Dataset
    Format: application/zip, 3 datasets
    Standort Signatur Erwartet Verfügbarkeit
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  • 22
    Publikationsdatum: 2023-03-08
    Beschreibung: Four gravity sediment cores used for clay mineral analysis were recovered from the East Siberian continental margin. Core M04 (172.199W,75.982N ), with a length of 560 cm, was recovered from the Chukchi Basin during the fifth Chinese National Arctic Research Expedition (CHINARE) in 2012; core C22 (154.581W, 77.164N ), with a length of 200 cm, from the Northwind Ridge during the sixth CHINARE in 2014; and cores E23 (179.715E, 77.060N ) and P13 (159.865W, 77.991N ), with lengths of 354 cm and 246 cm from the southern Mendeleev Ridge and Chukchi Plateau, respectively, during the seventh CHINARE in 2017. The fine-grained fractions (〈63 μm) of each sample were retained for clay mineral analysis. Decalcification and organic material removal were performed at room temperature with 1 M HCl and 30% H2O2, respectively. Clay fractions (〈2 μm) were determined using Stokes’ law (Liu et al., 2010 and references therein). Each sample was oriented by wet smearing onto two glass slides before being air-dried. One of the slides was used for qualitative identification of clay minerals, whereas the other was solvated with ethylene glycol in an under-pressurized desiccator for at least 36 h at 35 ℃. Clay minerals were then measured by a PANalytical diffractometer, scanning from 3°–35° 2θ with a step of 0.0167° 2θ, at the KLSG. Semi-quantitative estimates of peak areas for the main clay minerals were carried out on the ethylene-glycol solvated curve using MDI Jade 6.0 software, and the percentage of clay minerals was calculated using Biscaye’s (1965) weighting factors. The 17Å and 10Å peaks were used for quantification of smectite and illite, respectively. Kaolinite (3.58Å) and chlorite (3.54Å) peaks were identified to calculate their proportional percentage from the 7Å kaolinite + chlorite peak (Biscaye, 1965). Analytical precision was checked using 15 replicates with a standard deviation of 〈3%.
    Schlagwort(e): Arctic Ocean; clay mineral; East Siberian ice sheet; ice event
    Materialart: Dataset
    Format: application/zip, 4 datasets
    Standort Signatur Erwartet Verfügbarkeit
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  • 23
    Publikationsdatum: 2023-03-10
    Beschreibung: The dataset presents oxygen and carbon stable isotopes measured on multispecies planktonic foraminiferal shells and on Cibicidoides spp. and Uvigerina spp. (benthic foraminifera). The data were obtained from three samples from marine deposits outcropping in coastal Tanzania dating back to the early and middle Miocene. The samples are characterized by an exceptionally good preservation of foraminiferal shells.
    Schlagwort(e): Age model, Berggren et al (1995) BKSA95; Biostratigraphic zone; Calculated, δ18O; Event label; foraminiferal stable isotopes; Miocene; OUTCROP; Outcrop sample; paleotemperature; RAS99-38; RAS99-42; Site180906/1; Species; Tanzania; Temperature, calculated; δ13C; δ18O
    Materialart: Dataset
    Format: text/tab-separated-values, 205 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 24
    Publikationsdatum: 2023-03-01
    Beschreibung: The data were collected for a joint detrital zircon and detrital rutile provenance study of the late Neogene aeolian Baode Red Clay, located on the northern part of the Chinese Loess Plateau. The data consist of detrital zircon U-Pb ages of the 4.04–2.64 Ma Baode Red Clay (four samples from the Pliocene Jingle Formation and one sample from the 2.64 Ma Transitional Unit), and detrital rutile trace element geochemistry of the 6.91–2.64 Ma Baode Red Clay (three samples from the Miocene Baode Formation, five samples from the Pliocene Jingle Formation, and one sample from the Transitional Unit) and 14 potential sedimentary source areas in Central-East Asia. The data were collected using Nu Plasma AttoM single collector ICP-MS (Nu Instruments Ltd., Wrexham, UK) connected to an Analyte Excite 193 ArF laser ablation system (Photon Machines, San Diego, USA) at the Geological Survey of Finland. The rutiles were analysed for Li, Mg, Al, Si, P, Ca, Sc, V, Cr, Mn, Fe, Co, Ni, Cu, Zn, Rb, Sr, Y, Zr, Nb, Mo, Sn, Sb, Ba, La, Ce, Pr, Nd, Sm, Eu, Gd, Tb, Dy, Ho, Er, Tm, Yb, Lu, Hf, Ta, W, Pb, Th, and U. The grain size fractions of the analysed grains were mostly 30–90 μm for the Red Clay zircons and rutiles, and 20–500 μm for the potential source area rutiles.
    Schlagwort(e): Chinese Loess Plateau; detrital rutile; detrital zircon; eolian sediment; Miocene; Pliocene; Provenance; Red Clay
    Materialart: Dataset
    Format: application/zip, 2 datasets
    Standort Signatur Erwartet Verfügbarkeit
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  • 25
    Publikationsdatum: 2023-03-01
    Beschreibung: The data consist of detrital zircon U-Pb ages of the 4.04–2.64 Ma Baode Red Clay (four samples from the Pliocene Jingle Formation and one sample from the 2.64 Ma Transitional Unit). The data were collected using Nu Plasma AttoM single collector ICP-MS (Nu Instruments Ltd., Wrexham, UK) connected to an Analyte Excite 193 ArF laser ablation system (Photon Machines, San Diego, USA) at the Geological Survey of Finland.
    Schlagwort(e): Age; Age, 206Pb/238U Lead-Uranium; Age, 207Pb/206Pb Lead-Lead; Age, 207Pb/235U Lead-Uranium; Age, error; Age, mineral; Baode; Chinese Loess Plateau; Comment; Correlation coefficient, isotope ratio error; Degree of concordance; detrital rutile; detrital zircon; eolian sediment; Fluence; Grain ID; Grain size, maximum; Grain size, minimum; Identification; LA-ICP-MS, Laser-ablation inductively coupled plasma mass spectrometer; LATITUDE; Lead; Lead-206; Lead-206/Lead-204 ratio; Lead-206/Uranium-238, error, relative; Lead-206/Uranium-238, standard deviation; Lead-206/Uranium-238 ratio; Lead-207/Lead-206 ratio; Lead-207/Lead-206 ratio, error, relative; Lead-207/Lead-206 ratio, standard deviation; Lead-207/Uranium-235, error, relative; Lead-207/Uranium-235, standard deviation; Lead-207/Uranium-235 ratio; Lithologic unit/sequence; LONGITUDE; Miocene; Pliocene; Preferred age; Provenance; Red Clay; Repetition rate; Sample ID; Sediment sample; SES; Spot size; Thorium; Uranium
    Materialart: Dataset
    Format: text/tab-separated-values, 53231 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 26
    Publikationsdatum: 2023-03-16
    Beschreibung: Weddell seals (Leptonychotes weddellii) were immobilised during expedition NEU2022 (ANT-Land 2022/2023) for the purpose of deployments with infrared (IR) camera loggers (CAM). The IR-CAM deployments (n=17) were located in the Atka-Bay in the vicinity to the Neumayer Station III (DE), eastern Weddell Sea. The seals were searcher by Skidoo and captured along tidal within the bay and immobilised and instrumented on fast (bay) ice with infrared video camera loggers (IR-CAMs, Little Leonardo, JP) to investigate their foraging behaviour in the context of sea ice features inside the bay.
    Schlagwort(e): Additives; ANT-Land_2022/2023; Atipamezol; Comment; DATE/TIME; Diazepam; Estimated; Event label; Girth, standard; immobilisation; Injection; Ketamine; LATITUDE; Length, standard; Leptonychotes weddellii; LONGITUDE; Marine endotherm; Mass; MET; NEU2022; NEU2022_wed_a_f_03; NEU2022_wed_a_f_05; NEU2022_wed_a_f_07; NEU2022_wed_a_m_01; NEU2022_wed_a_m_02; NEU2022_wed_a_m_04; NEU2022_wed_a_m_06; NEUMAYER III; Physical restraint; Premedication; Ruler tape; Sample code/label; SEAEIS; Seals and cryobenthic communities at the Ekström Ice Shelf; Southern Ocean; Species code; Time of day; Weddell seal; Xylazine
    Materialart: Dataset
    Format: text/tab-separated-values, 247 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 27
    Publikationsdatum: 2023-04-11
    Schlagwort(e): CloudCA_Italy_Grid_1x1; Cloud cover anomaly; DATE/TIME; LATITUDE; LONGITUDE; Visual observation
    Materialart: Dataset
    Format: text/tab-separated-values, 3808 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 28
    Publikationsdatum: 2023-04-11
    Schlagwort(e): CloudCA_Italy_Grid_1x1; Cloud cover anomaly; DATE/TIME; LATITUDE; LONGITUDE; Visual observation
    Materialart: Dataset
    Format: text/tab-separated-values, 3808 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 29
    facet.materialart.
    Unbekannt
    PANGAEA
    In:  Helmholtz Centre for Environmental Research - UFZ
    Publikationsdatum: 2023-04-04
    Beschreibung: Continuous measurements of carbon, water and energy fluxes are performed using the eddy covariance (EC) method in a mixed-beech forest ecosystem in central Germany (52° 5'12N, 11°13'20E, 193 m asl), accompanied by relevant abiotic measurements. The site was established in the Bode catchment as part of the TERENO Harz/Central German Lowland Observatory, a mesoscale water catchment within the Elbe river basin covering an area of approximately 3300 km². The forest area Hohes Holz is the only larger forested area in the otherwise agriculturally intensively-farmed western part of the Magdeburger Börde with an area of about 1500 ha [Wollschläger et al., 2017]. The forest is a protected area with the centre (150 ha) being a nature reserve (Natura 2000) and is dominated by common beech (Fagus sylvatica L.), sessile oak (Quercus petraea) and hornbeam (Carpinus betulus L.) of about 90 years in age, an average tree height of 23.5 m and a stand density of 260 trees/ha. The long term average of annual precipitation is 563 mm and mean annual temperature is 9.1 °C (1981 – 2010 DWD station Ummendorf, #5158). The eddy covariance system consists of a CSAT-3 anemometer (Campbell Scientific Inc., Logan, UT, USA) and a LI-7500 gas analyser (Li-Cor Inc., Lincoln, NE, USA), established in 2014 in 49 m on a scaffolding tower within the research area. Data presented here comprise energy, water (H and LE), and carbon fluxes (NEE) from the EC-system since 2015 as well as gross primary productivity (GPP) and ecosystem respiration (Reco) derived from partitioning of NEE-data. Complimentary data from the turbulence data set and prioritized driver variables as a basis for ecosystem process analysis are added. High-frequency data (20Hz) were acquired with a Campbell data logger and the Eddymeas data acquisition software [Kolle and Rebmann, 2007]. Flux computation from high frequency raw data was performed with the Eddy-Pro® software (v. 7.0.6). After removing physically unrealistic flux values from the time series, subsequent post-processing steps such as estimating the u*-threshold, gap-filling and flux partitioning were performed according to Wutzler et al. [2018] with the REddyProc package. Full details of site instrumentation, metadata information and R-packages used for processing can be found in the supplementary material. Since January 2019 the site is approved as an ICOS ecosystem class 1 station (DE-HoH). ICOS standard procedures required an additional EC-setup consisting of a Gill HS-50 ultrasonic anemometer (Gill Instruments Ltd., Lymington, Hampshire, UK) and a LI-7200 gas analyser which runs in parallel to the above described system (see ICOS carbon portal: https://www.icos-cp.eu/data-products/ecosystem-release).
    Schlagwort(e): Barometer, Setra, 278; Carbon dioxide, density; Carbon dioxide, flux; Carbon dioxide, flux, stationarity deviation; Carbon dioxide, flux, storage; Carbon dioxide, mole fraction; Carbon dioxide, mole fraction, variance; Carbon dioxide flux, random error; Carbon dioxide mixing ratio; DATE/TIME; Day of the year; Daytime Indicator; Density, water vapour; Distance, relative, X, offset; Distance, relative, X, peak; Distance, relative, X, percentage contribution; ECS; ECS_HohesHolz; ECS_Hohes Holz_Eggenstedt (Germany); Eddy covariance; Eddy covariance footprint, model type; Eddy Covariance Station; evapotranspiration; File name; Friction velocity; GPP; Heat, flux, latent; Heat, flux, latent, random error; Heat, flux, sensible; Heat, flux, sensible, random error; ICOS; Integrated Carbon Observation System; managed deciduous forest; Modeling Monitoring Events; MOMENT; Momentum, flux; Momentum, flux, random error; NEE; Net ecosystem exchange of carbon dioxide; Number of flagged records, chopper_LI-7500; Number of flagged records, detector_LI-7500; Number of flagged records, pll_LI-7500; Number of flagged records, sync_LI-7500; Number of records, total; Number of records, used; Obukhov stability parameter; Open Path CO2/H2O Gas Analyzer (LI-7500RS, LI-COR); Pressure, atmospheric; Quality flag, carbon dioxide, flux; Quality flag, carbon dioxide flux; Quality flag, heat, flux, latent; Quality flag, heat, flux, sensible; Quality flag, momentum flux; Quality flag, water vapour flux; Quality flag, wind speed; Reco; Signal strength; Sonic anemometer, CSAT3, Campbell Scientific; Sonic anemometer CSAT3 and CO2/H2O Gas Analyzer (LI-7500RS); Sonic temperature; Sonic temperature, variance; Spikes, carbon dioxide; Spikes, sonic temperature; Spikes, water vapour; Spikes, wind velocity, lateral; Spikes, wind velocity, longitudinal; Spikes, wind velocity, vertical; Temperature, air; TERENO; Terrestrial Environmental Observatories; Thermometer/Hygrometer, Vaisala, HMP155; Water vapour, density; Water vapour, flux; Water vapour, mole fraction; Water vapour, mole fraction, variance; Water vapour flux, random error; Water vapour mixing ratio; Wind direction; Wind speed; Wind velocity, lateral; Wind velocity, lateral, variance; Wind velocity, longitudinal; Wind velocity, longitudinal, variance; Wind velocity, vertical; Wind velocity, vertical, variance
    Materialart: Dataset
    Format: text/tab-separated-values, 1212192 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 30
    facet.materialart.
    Unbekannt
    PANGAEA
    In:  Helmholtz Centre for Environmental Research - UFZ
    Publikationsdatum: 2023-04-04
    Beschreibung: Continuous measurements of carbon, water and energy fluxes are performed using the eddy covariance (EC) method in a mixed-beech forest ecosystem in central Germany (52° 5'12N, 11°13'20E, 193 m asl), accompanied by relevant abiotic measurements. The site was established in the Bode catchment as part of the TERENO Harz/Central German Lowland Observatory, a mesoscale water catchment within the Elbe river basin covering an area of approximately 3300 km². The forest area Hohes Holz is the only larger forested area in the otherwise agriculturally intensively-farmed western part of the Magdeburger Börde with an area of about 1500 ha [Wollschläger et al., 2017]. The forest is a protected area with the centre (150 ha) being a nature reserve (Natura 2000) and is dominated by common beech (Fagus sylvatica L.), sessile oak (Quercus petraea) and hornbeam (Carpinus betulus L.) of about 90 years in age, an average tree height of 23.5 m and a stand density of 260 trees/ha. The long term average of annual precipitation is 563 mm and mean annual temperature is 9.1 °C (1981 – 2010 DWD station Ummendorf, #5158). The eddy covariance system consists of a CSAT-3 anemometer (Campbell Scientific Inc., Logan, UT, USA) and a LI-7500 gas analyser (Li-Cor Inc., Lincoln, NE, USA), established in 2014 in 49 m on a scaffolding tower within the research area. Data presented here comprise energy, water (H and LE), and carbon fluxes (NEE) from the EC-system since 2015 as well as gross primary productivity (GPP) and ecosystem respiration (Reco) derived from partitioning of NEE-data. Complimentary data from the turbulence data set and prioritized driver variables as a basis for ecosystem process analysis are added. High-frequency data (20Hz) were acquired with a Campbell data logger and the Eddymeas data acquisition software [Kolle and Rebmann, 2007]. Flux computation from high frequency raw data was performed with the Eddy-Pro® software (v. 7.0.6). After removing physically unrealistic flux values from the time series, subsequent post-processing steps such as estimating the u*-threshold, gap-filling and flux partitioning were performed according to Wutzler et al. [2018] with the REddyProc package. Full details of site instrumentation, metadata information and R-packages used for processing can be found in the supplementary material. Since January 2019 the site is approved as an ICOS ecosystem class 1 station (DE-HoH). ICOS standard procedures required an additional EC-setup consisting of a Gill HS-50 ultrasonic anemometer (Gill Instruments Ltd., Lymington, Hampshire, UK) and a LI-7200 gas analyser which runs in parallel to the above described system (see ICOS carbon portal: https://www.icos-cp.eu/data-products/ecosystem-release).
    Schlagwort(e): Barometer, Setra, 278; Carbon dioxide, density; Carbon dioxide, flux; Carbon dioxide, flux, stationarity deviation; Carbon dioxide, flux, storage; Carbon dioxide, mole fraction; Carbon dioxide, mole fraction, variance; Carbon dioxide flux, random error; Carbon dioxide mixing ratio; DATE/TIME; Day of the year; Daytime Indicator; Density, water vapour; Distance, relative, X, offset; Distance, relative, X, peak; Distance, relative, X, percentage contribution; ECS; ECS_HohesHolz; ECS_Hohes Holz_Eggenstedt (Germany); Eddy covariance; Eddy covariance footprint, model type; Eddy Covariance Station; evapotranspiration; File name; Friction velocity; GPP; Heat, flux, latent; Heat, flux, latent, random error; Heat, flux, sensible; Heat, flux, sensible, random error; ICOS; Integrated Carbon Observation System; managed deciduous forest; Modeling Monitoring Events; MOMENT; Momentum, flux; Momentum, flux, random error; NEE; Net ecosystem exchange of carbon dioxide; Number of flagged records, chopper_LI-7500; Number of flagged records, detector_LI-7500; Number of flagged records, pll_LI-7500; Number of flagged records, sync_LI-7500; Number of records, total; Number of records, used; Obukhov stability parameter; Open Path CO2/H2O Gas Analyzer (LI-7500RS, LI-COR); Pressure, atmospheric; Quality flag, carbon dioxide, flux; Quality flag, carbon dioxide flux; Quality flag, heat, flux, latent; Quality flag, heat, flux, sensible; Quality flag, momentum flux; Quality flag, water vapour flux; Quality flag, wind speed; Reco; Signal strength; Sonic anemometer, CSAT3, Campbell Scientific; Sonic anemometer CSAT3 and CO2/H2O Gas Analyzer (LI-7500RS); Sonic temperature; Sonic temperature, variance; Spikes, carbon dioxide; Spikes, sonic temperature; Spikes, water vapour; Spikes, wind velocity, lateral; Spikes, wind velocity, longitudinal; Spikes, wind velocity, vertical; Temperature, air; TERENO; Terrestrial Environmental Observatories; Thermometer/Hygrometer, Vaisala, HMP155; Water vapour, density; Water vapour, flux; Water vapour, mole fraction; Water vapour, mole fraction, variance; Water vapour flux, random error; Water vapour mixing ratio; Wind direction; Wind speed; Wind velocity, lateral; Wind velocity, lateral, variance; Wind velocity, longitudinal; Wind velocity, longitudinal, variance; Wind velocity, vertical; Wind velocity, vertical, variance
    Materialart: Dataset
    Format: text/tab-separated-values, 1208880 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 31
    facet.materialart.
    Unbekannt
    PANGAEA
    In:  Helmholtz Centre for Environmental Research - UFZ
    Publikationsdatum: 2023-04-04
    Beschreibung: Continuous measurements of carbon, water and energy fluxes are performed using the eddy covariance (EC) method in a mixed-beech forest ecosystem in central Germany (52° 5'12N, 11°13'20E, 193 m asl), accompanied by relevant abiotic measurements. The site was established in the Bode catchment as part of the TERENO Harz/Central German Lowland Observatory, a mesoscale water catchment within the Elbe river basin covering an area of approximately 3300 km². The forest area Hohes Holz is the only larger forested area in the otherwise agriculturally intensively-farmed western part of the Magdeburger Börde with an area of about 1500 ha [Wollschläger et al., 2017]. The forest is a protected area with the centre (150 ha) being a nature reserve (Natura 2000) and is dominated by common beech (Fagus sylvatica L.), sessile oak (Quercus petraea) and hornbeam (Carpinus betulus L.) of about 90 years in age, an average tree height of 23.5 m and a stand density of 260 trees/ha. The long term average of annual precipitation is 563 mm and mean annual temperature is 9.1 °C (1981 – 2010 DWD station Ummendorf, #5158). The eddy covariance system consists of a CSAT-3 anemometer (Campbell Scientific Inc., Logan, UT, USA) and a LI-7500 gas analyser (Li-Cor Inc., Lincoln, NE, USA), established in 2014 in 49 m on a scaffolding tower within the research area. Data presented here comprise energy, water (H and LE), and carbon fluxes (NEE) from the EC-system since 2015 as well as gross primary productivity (GPP) and ecosystem respiration (Reco) derived from partitioning of NEE-data. Complimentary data from the turbulence data set and prioritized driver variables as a basis for ecosystem process analysis are added. High-frequency data (20Hz) were acquired with a Campbell data logger and the Eddymeas data acquisition software [Kolle and Rebmann, 2007]. Flux computation from high frequency raw data was performed with the Eddy-Pro® software (v. 7.0.6). After removing physically unrealistic flux values from the time series, subsequent post-processing steps such as estimating the u*-threshold, gap-filling and flux partitioning were performed according to Wutzler et al. [2018] with the REddyProc package. Full details of site instrumentation, metadata information and R-packages used for processing can be found in the supplementary material. Since January 2019 the site is approved as an ICOS ecosystem class 1 station (DE-HoH). ICOS standard procedures required an additional EC-setup consisting of a Gill HS-50 ultrasonic anemometer (Gill Instruments Ltd., Lymington, Hampshire, UK) and a LI-7200 gas analyser which runs in parallel to the above described system (see ICOS carbon portal: https://www.icos-cp.eu/data-products/ecosystem-release).
    Schlagwort(e): Barometer, Setra, 278; Carbon dioxide, density; Carbon dioxide, flux; Carbon dioxide, flux, stationarity deviation; Carbon dioxide, flux, storage; Carbon dioxide, mole fraction; Carbon dioxide, mole fraction, variance; Carbon dioxide flux, random error; Carbon dioxide mixing ratio; DATE/TIME; Day of the year; Daytime Indicator; Density, water vapour; Distance, relative, X, offset; Distance, relative, X, peak; Distance, relative, X, percentage contribution; ECS; ECS_HohesHolz; ECS_Hohes Holz_Eggenstedt (Germany); Eddy covariance; Eddy covariance footprint, model type; Eddy Covariance Station; evapotranspiration; File name; Friction velocity; GPP; Heat, flux, latent; Heat, flux, latent, random error; Heat, flux, sensible; Heat, flux, sensible, random error; ICOS; Integrated Carbon Observation System; managed deciduous forest; Modeling Monitoring Events; MOMENT; Momentum, flux; Momentum, flux, random error; NEE; Net ecosystem exchange of carbon dioxide; Number of flagged records, chopper_LI-7500; Number of flagged records, detector_LI-7500; Number of flagged records, pll_LI-7500; Number of flagged records, sync_LI-7500; Number of records, total; Number of records, used; Obukhov stability parameter; Open Path CO2/H2O Gas Analyzer (LI-7500RS, LI-COR); Pressure, atmospheric; Quality flag, carbon dioxide, flux; Quality flag, carbon dioxide flux; Quality flag, heat, flux, latent; Quality flag, heat, flux, sensible; Quality flag, momentum flux; Quality flag, water vapour flux; Quality flag, wind speed; Reco; Signal strength; Sonic anemometer, CSAT3, Campbell Scientific; Sonic anemometer CSAT3 and CO2/H2O Gas Analyzer (LI-7500RS); Sonic temperature; Sonic temperature, variance; Spikes, carbon dioxide; Spikes, sonic temperature; Spikes, water vapour; Spikes, wind velocity, lateral; Spikes, wind velocity, longitudinal; Spikes, wind velocity, vertical; Temperature, air; TERENO; Terrestrial Environmental Observatories; Thermometer/Hygrometer, Vaisala, HMP155; Water vapour, density; Water vapour, flux; Water vapour, mole fraction; Water vapour, mole fraction, variance; Water vapour flux, random error; Water vapour mixing ratio; Wind direction; Wind speed; Wind velocity, lateral; Wind velocity, lateral, variance; Wind velocity, longitudinal; Wind velocity, longitudinal, variance; Wind velocity, vertical; Wind velocity, vertical, variance
    Materialart: Dataset
    Format: text/tab-separated-values, 1208880 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 32
    facet.materialart.
    Unbekannt
    PANGAEA
    In:  Helmholtz Centre for Environmental Research - UFZ
    Publikationsdatum: 2023-04-04
    Beschreibung: Continuous measurements of carbon, water and energy fluxes are performed using the eddy covariance (EC) method in a mixed-beech forest ecosystem in central Germany (52° 5'12N, 11°13'20E, 193 m asl), accompanied by relevant abiotic measurements. The site was established in the Bode catchment as part of the TERENO Harz/Central German Lowland Observatory, a mesoscale water catchment within the Elbe river basin covering an area of approximately 3300 km². The forest area Hohes Holz is the only larger forested area in the otherwise agriculturally intensively-farmed western part of the Magdeburger Börde with an area of about 1500 ha [Wollschläger et al., 2017]. The forest is a protected area with the centre (150 ha) being a nature reserve (Natura 2000) and is dominated by common beech (Fagus sylvatica L.), sessile oak (Quercus petraea) and hornbeam (Carpinus betulus L.) of about 90 years in age, an average tree height of 23.5 m and a stand density of 260 trees/ha. The long term average of annual precipitation is 563 mm and mean annual temperature is 9.1 °C (1981 – 2010 DWD station Ummendorf, #5158). The eddy covariance system consists of a CSAT-3 anemometer (Campbell Scientific Inc., Logan, UT, USA) and a LI-7500 gas analyser (Li-Cor Inc., Lincoln, NE, USA), established in 2014 in 49 m on a scaffolding tower within the research area. Data presented here comprise energy, water (H and LE), and carbon fluxes (NEE) from the EC-system since 2015 as well as gross primary productivity (GPP) and ecosystem respiration (Reco) derived from partitioning of NEE-data. Complimentary data from the turbulence data set and prioritized driver variables as a basis for ecosystem process analysis are added. High-frequency data (20Hz) were acquired with a Campbell data logger and the Eddymeas data acquisition software [Kolle and Rebmann, 2007]. Flux computation from high frequency raw data was performed with the Eddy-Pro® software (v. 7.0.6). After removing physically unrealistic flux values from the time series, subsequent post-processing steps such as estimating the u*-threshold, gap-filling and flux partitioning were performed according to Wutzler et al. [2018] with the REddyProc package. Full details of site instrumentation, metadata information and R-packages used for processing can be found in the supplementary material. Since January 2019 the site is approved as an ICOS ecosystem class 1 station (DE-HoH). ICOS standard procedures required an additional EC-setup consisting of a Gill HS-50 ultrasonic anemometer (Gill Instruments Ltd., Lymington, Hampshire, UK) and a LI-7200 gas analyser which runs in parallel to the above described system (see ICOS carbon portal: https://www.icos-cp.eu/data-products/ecosystem-release).
    Schlagwort(e): Barometer, Setra, 278; Carbon dioxide, density; Carbon dioxide, flux; Carbon dioxide, flux, stationarity deviation; Carbon dioxide, flux, storage; Carbon dioxide, mole fraction; Carbon dioxide, mole fraction, variance; Carbon dioxide flux, random error; Carbon dioxide mixing ratio; DATE/TIME; Day of the year; Daytime Indicator; Density, water vapour; Distance, relative, X, offset; Distance, relative, X, peak; Distance, relative, X, percentage contribution; ECS; ECS_HohesHolz; ECS_Hohes Holz_Eggenstedt (Germany); Eddy covariance; Eddy covariance footprint, model type; Eddy Covariance Station; evapotranspiration; File name; Friction velocity; GPP; Heat, flux, latent; Heat, flux, latent, random error; Heat, flux, sensible; Heat, flux, sensible, random error; ICOS; Integrated Carbon Observation System; managed deciduous forest; Modeling Monitoring Events; MOMENT; Momentum, flux; Momentum, flux, random error; NEE; Net ecosystem exchange of carbon dioxide; Number of flagged records, chopper_LI-7500; Number of flagged records, detector_LI-7500; Number of flagged records, pll_LI-7500; Number of flagged records, sync_LI-7500; Number of records, total; Number of records, used; Obukhov stability parameter; Open Path CO2/H2O Gas Analyzer (LI-7500RS, LI-COR); Pressure, atmospheric; Quality flag, carbon dioxide, flux; Quality flag, carbon dioxide flux; Quality flag, heat, flux, latent; Quality flag, heat, flux, sensible; Quality flag, momentum flux; Quality flag, water vapour flux; Quality flag, wind speed; Reco; Signal strength; Sonic anemometer, CSAT3, Campbell Scientific; Sonic anemometer CSAT3 and CO2/H2O Gas Analyzer (LI-7500RS); Sonic temperature; Sonic temperature, variance; Spikes, carbon dioxide; Spikes, sonic temperature; Spikes, water vapour; Spikes, wind velocity, lateral; Spikes, wind velocity, longitudinal; Spikes, wind velocity, vertical; Temperature, air; TERENO; Terrestrial Environmental Observatories; Thermometer/Hygrometer, Vaisala, HMP155; Water vapour, density; Water vapour, flux; Water vapour, mole fraction; Water vapour, mole fraction, variance; Water vapour flux, random error; Water vapour mixing ratio; Wind direction; Wind speed; Wind velocity, lateral; Wind velocity, lateral, variance; Wind velocity, longitudinal; Wind velocity, longitudinal, variance; Wind velocity, vertical; Wind velocity, vertical, variance
    Materialart: Dataset
    Format: text/tab-separated-values, 1212192 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 33
    Publikationsdatum: 2023-04-11
    Schlagwort(e): CloudCA_Italy_Grid_1x1; Cloud cover anomaly; DATE/TIME; LATITUDE; LONGITUDE; Visual observation
    Materialart: Dataset
    Format: text/tab-separated-values, 3808 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 34
    Publikationsdatum: 2023-04-11
    Schlagwort(e): CloudCA_Italy_Grid_1x1; Cloud cover anomaly; DATE/TIME; LATITUDE; LONGITUDE; Visual observation
    Materialart: Dataset
    Format: text/tab-separated-values, 3808 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 35
    Publikationsdatum: 2023-04-11
    Schlagwort(e): CloudCA_Italy_Grid_1x1; Cloud cover anomaly; DATE/TIME; LATITUDE; LONGITUDE; Visual observation
    Materialart: Dataset
    Format: text/tab-separated-values, 3808 data points
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 36
    facet.materialart.
    Unbekannt
    PANGAEA
    In:  Helmholtz Centre for Environmental Research - UFZ
    Publikationsdatum: 2023-04-04
    Beschreibung: Continuous measurements of carbon, water and energy fluxes are performed using the eddy covariance (EC) method in a mixed-beech forest ecosystem in central Germany (52° 5'12N, 11°13'20E, 193 m asl), accompanied by relevant abiotic measurements. The site was established in the Bode catchment as part of the TERENO Harz/Central German Lowland Observatory, a mesoscale water catchment within the Elbe river basin covering an area of approximately 3300 km². The forest area Hohes Holz is the only larger forested area in the otherwise agriculturally intensively-farmed western part of the Magdeburger Börde with an area of about 1500 ha [Wollschläger et al., 2017]. The forest is a protected area with the centre (150 ha) being a nature reserve (Natura 2000) and is dominated by common beech (Fagus sylvatica L.), sessile oak (Quercus petraea) and hornbeam (Carpinus betulus L.) of about 90 years in age, an average tree height of 23.5 m and a stand density of 260 trees/ha. The long term average of annual precipitation is 563 mm and mean annual temperature is 9.1 °C (1981 – 2010 DWD station Ummendorf, #5158). The eddy covariance system consists of a CSAT-3 anemometer (Campbell Scientific Inc., Logan, UT, USA) and a LI-7500 gas analyser (Li-Cor Inc., Lincoln, NE, USA), established in 2014 in 49 m on a scaffolding tower within the research area. Data presented here comprise energy, water (H and LE), and carbon fluxes (NEE) from the EC-system since 2015 as well as gross primary productivity (GPP) and ecosystem respiration (Reco) derived from partitioning of NEE-data. Complimentary data from the turbulence data set and prioritized driver variables as a basis for ecosystem process analysis are added. High-frequency data (20Hz) were acquired with a Campbell data logger and the Eddymeas data acquisition software [Kolle and Rebmann, 2007]. Flux computation from high frequency raw data was performed with the Eddy-Pro® software (v. 7.0.6). After removing physically unrealistic flux values from the time series, subsequent post-processing steps such as estimating the u*-threshold, gap-filling and flux partitioning were performed according to Wutzler et al. [2018] with the REddyProc package. Full details of site instrumentation, metadata information and R-packages used for processing can be found in the supplementary material. Since January 2019 the site is approved as an ICOS ecosystem class 1 station (DE-HoH). ICOS standard procedures required an additional EC-setup consisting of a Gill HS-50 ultrasonic anemometer (Gill Instruments Ltd., Lymington, Hampshire, UK) and a LI-7200 gas analyser which runs in parallel to the above described system (see ICOS carbon portal: https://www.icos-cp.eu/data-products/ecosystem-release).
    Schlagwort(e): Barometer, Setra, 278; Carbon dioxide, density; Carbon dioxide, flux; Carbon dioxide, flux, stationarity deviation; Carbon dioxide, flux, storage; Carbon dioxide, mole fraction; Carbon dioxide, mole fraction, variance; Carbon dioxide flux, random error; Carbon dioxide mixing ratio; DATE/TIME; Day of the year; Daytime Indicator; Density, water vapour; Distance, relative, X, offset; Distance, relative, X, peak; Distance, relative, X, percentage contribution; ECS; ECS_HohesHolz; ECS_Hohes Holz_Eggenstedt (Germany); Eddy covariance; Eddy covariance footprint, model type; Eddy Covariance Station; evapotranspiration; File name; Friction velocity; GPP; Heat, flux, latent; Heat, flux, latent, random error; Heat, flux, sensible; Heat, flux, sensible, random error; ICOS; Integrated Carbon Observation System; managed deciduous forest; Modeling Monitoring Events; MOMENT; Momentum, flux; Momentum, flux, random error; NEE; Net ecosystem exchange of carbon dioxide; Number of flagged records, chopper_LI-7500; Number of flagged records, detector_LI-7500; Number of flagged records, pll_LI-7500; Number of flagged records, sync_LI-7500; Number of records, total; Number of records, used; Obukhov stability parameter; Open Path CO2/H2O Gas Analyzer (LI-7500RS, LI-COR); Pressure, atmospheric; Quality flag, carbon dioxide, flux; Quality flag, carbon dioxide flux; Quality flag, heat, flux, latent; Quality flag, heat, flux, sensible; Quality flag, momentum flux; Quality flag, water vapour flux; Quality flag, wind speed; Reco; Signal strength; Sonic anemometer, CSAT3, Campbell Scientific; Sonic anemometer CSAT3 and CO2/H2O Gas Analyzer (LI-7500RS); Sonic temperature; Sonic temperature, variance; Spikes, carbon dioxide; Spikes, sonic temperature; Spikes, water vapour; Spikes, wind velocity, lateral; Spikes, wind velocity, longitudinal; Spikes, wind velocity, vertical; Temperature, air; TERENO; Terrestrial Environmental Observatories; Thermometer/Hygrometer, Vaisala, HMP155; Water vapour, density; Water vapour, flux; Water vapour, mole fraction; Water vapour, mole fraction, variance; Water vapour flux, random error; Water vapour mixing ratio; Wind direction; Wind speed; Wind velocity, lateral; Wind velocity, lateral, variance; Wind velocity, longitudinal; Wind velocity, longitudinal, variance; Wind velocity, vertical; Wind velocity, vertical, variance
    Materialart: Dataset
    Format: text/tab-separated-values, 1208875 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 37
    facet.materialart.
    Unbekannt
    PANGAEA
    In:  Helmholtz Centre for Environmental Research - UFZ
    Publikationsdatum: 2023-04-04
    Beschreibung: Continuous measurements of carbon, water and energy fluxes are performed using the eddy covariance (EC) method in a mixed-beech forest ecosystem in central Germany (52° 5'12N, 11°13'20E, 193 m asl), accompanied by relevant abiotic measurements. The site was established in the Bode catchment as part of the TERENO Harz/Central German Lowland Observatory, a mesoscale water catchment within the Elbe river basin covering an area of approximately 3300 km². The forest area Hohes Holz is the only larger forested area in the otherwise agriculturally intensively-farmed western part of the Magdeburger Börde with an area of about 1500 ha [Wollschläger et al., 2017]. The forest is a protected area with the centre (150 ha) being a nature reserve (Natura 2000) and is dominated by common beech (Fagus sylvatica L.), sessile oak (Quercus petraea) and hornbeam (Carpinus betulus L.) of about 90 years in age, an average tree height of 23.5 m and a stand density of 260 trees/ha. The long term average of annual precipitation is 563 mm and mean annual temperature is 9.1 °C (1981 – 2010 DWD station Ummendorf, #5158). The eddy covariance system consists of a CSAT-3 anemometer (Campbell Scientific Inc., Logan, UT, USA) and a LI-7500 gas analyser (Li-Cor Inc., Lincoln, NE, USA), established in 2014 in 49 m on a scaffolding tower within the research area. Data presented here comprise energy, water (H and LE), and carbon fluxes (NEE) from the EC-system since 2015 as well as gross primary productivity (GPP) and ecosystem respiration (Reco) derived from partitioning of NEE-data. Complimentary data from the turbulence data set and prioritized driver variables as a basis for ecosystem process analysis are added. High-frequency data (20Hz) were acquired with a Campbell data logger and the Eddymeas data acquisition software [Kolle and Rebmann, 2007]. Flux computation from high frequency raw data was performed with the Eddy-Pro® software (v. 7.0.6). After removing physically unrealistic flux values from the time series, subsequent post-processing steps such as estimating the u*-threshold, gap-filling and flux partitioning were performed according to Wutzler et al. [2018] with the REddyProc package. Full details of site instrumentation, metadata information and R-packages used for processing can be found in the supplementary material. Since January 2019 the site is approved as an ICOS ecosystem class 1 station (DE-HoH). ICOS standard procedures required an additional EC-setup consisting of a Gill HS-50 ultrasonic anemometer (Gill Instruments Ltd., Lymington, Hampshire, UK) and a LI-7200 gas analyser which runs in parallel to the above described system (see ICOS carbon portal: https://www.icos-cp.eu/data-products/ecosystem-release).
    Schlagwort(e): Barometer, Setra, 278; Carbon dioxide, density; Carbon dioxide, flux; Carbon dioxide, flux, stationarity deviation; Carbon dioxide, flux, storage; Carbon dioxide, mole fraction; Carbon dioxide, mole fraction, variance; Carbon dioxide flux, random error; Carbon dioxide mixing ratio; DATE/TIME; Day of the year; Daytime Indicator; Density, water vapour; Distance, relative, X, offset; Distance, relative, X, peak; Distance, relative, X, percentage contribution; ECS; ECS_HohesHolz; ECS_Hohes Holz_Eggenstedt (Germany); Eddy covariance; Eddy covariance footprint, model type; Eddy Covariance Station; evapotranspiration; File name; Friction velocity; GPP; Heat, flux, latent; Heat, flux, latent, random error; Heat, flux, sensible; Heat, flux, sensible, random error; ICOS; Integrated Carbon Observation System; managed deciduous forest; Modeling Monitoring Events; MOMENT; Momentum, flux; Momentum, flux, random error; NEE; Net ecosystem exchange of carbon dioxide; Number of flagged records, chopper_LI-7500; Number of flagged records, detector_LI-7500; Number of flagged records, pll_LI-7500; Number of flagged records, sync_LI-7500; Number of records, total; Number of records, used; Obukhov stability parameter; Open Path CO2/H2O Gas Analyzer (LI-7500RS, LI-COR); Pressure, atmospheric; Quality flag, carbon dioxide, flux; Quality flag, carbon dioxide flux; Quality flag, heat, flux, latent; Quality flag, heat, flux, sensible; Quality flag, momentum flux; Quality flag, water vapour flux; Quality flag, wind speed; Reco; Signal strength; Sonic anemometer, CSAT3, Campbell Scientific; Sonic anemometer CSAT3 and CO2/H2O Gas Analyzer (LI-7500RS); Sonic temperature; Sonic temperature, variance; Spikes, carbon dioxide; Spikes, sonic temperature; Spikes, water vapour; Spikes, wind velocity, lateral; Spikes, wind velocity, longitudinal; Spikes, wind velocity, vertical; Temperature, air; TERENO; Terrestrial Environmental Observatories; Thermometer/Hygrometer, Vaisala, HMP155; Water vapour, density; Water vapour, flux; Water vapour, mole fraction; Water vapour, mole fraction, variance; Water vapour flux, random error; Water vapour mixing ratio; Wind direction; Wind speed; Wind velocity, lateral; Wind velocity, lateral, variance; Wind velocity, longitudinal; Wind velocity, longitudinal, variance; Wind velocity, vertical; Wind velocity, vertical, variance
    Materialart: Dataset
    Format: text/tab-separated-values, 1208880 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 38
    Publikationsdatum: 2023-04-18
    Beschreibung: Herein, we present paleomagnetic, GR and Rb/Sr data over the past 3.5 Ma from the ZK01 core in the southern Junggar Basin, Northwestern China. We took 300 oriented samples along the core (ca. 1 sample every 1.5 m) for magnetostratigraphic dating. The corresponding boundaries of the Brunhes/Matuyama and Matuyama/Gauss transitions are at about 59 m and 315 m interval in the ZK01 borehole, respectively. To complete the lithological description of this core, we selected 17 samples between levels 100 and 425 m for grain size analysis. Our grain size shows an eolian deposit. Gamma ray (GR; ~5 cm sampling resolution) well log data and Rb/Sr ratios in the ZK01 core were used to carry out astronomical tuning. Our results show that GR data are dominated by 405 kyr cycles before ~2.8 Ma; ~100 kyr short eccentricity and obliquity cycles are significantly enhanced between 2.8 Ma and 1.4 Ma; the obliquity signal finally strengthens between 1.4 and ~0.55 Ma. By contrast, our Rb/Sr data show monotonic, dominant 405-kyr cycles with weak 100-kyr eccentricity, obliquity (41 kyr) and precession (20 kyr) cycles in the past 3.5 Ma. To complete the lithological description of the core, we selected 17 samples between levels 100 and 425 m for grain size analysis. We selected 2 samples for scanning electron microscope (SEM) analysis of quartz particles at 317 m and 415 m, in order to investigate potential marks for aeolian transport of the sediment. We took 300 oriented samples along the core (ca. 1 sample every 1.5 m) for magnetostratigraphic dating. A total of 1201 power samples were measured with an Innov-X Systems X-ray fluorescence spectrometer in geochemistry mode using beam 1 (50 kv) and beam 2 (10 kv) to acquire the abundance of rubidium (Rb) and strontium (Sr) at the Chinese University of Geosciences (Wuhan). The continuous GR data were measured using FD-3019 γ logging tool based on EJ/T 611-2005 gamma logging specification through pipes.
    Schlagwort(e): Core; CORE; Junggar_Basin_ZK01; Northwestern China
    Materialart: Dataset
    Format: application/zip, 3 datasets
    Standort Signatur Erwartet Verfügbarkeit
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  • 39
    Publikationsdatum: 2023-04-18
    Beschreibung: We carry out our work on a total of 202 sediment samples spanning the past ~400 kyr from IODP Site 363-U1483 (13.09°S, 121.80°E; water depth: 1733 m), which is located close to the southern margin of the ITCZ's latitudinal displacement in the outflow area of the Indonesian Throughflow. In this study, we present Mg/Ca ratios and stable oxygen isotope from tests of planktonic foraminiferal Globigerinoides ruber, respectively.
    Schlagwort(e): 363-U1483; AGE; COMPCORE; Composite Core; Exp363; Globigerinoides ruber; Globigerinoides ruber, Magnesium/Calcium ratio; Globigerinoides ruber, δ18O; Inductively Coupled Plasma - Optical Emission Spectrometry (ICP-OES); Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP; IODP Site 363-U1483; Joides Resolution; Mass spectrometer, Finnigan, MAT 253; Mg/Ca ratios; North west Australian continental margin; stable oxygen isotope
    Materialart: Dataset
    Format: text/tab-separated-values, 414 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 40
    Publikationsdatum: 2023-04-18
    Schlagwort(e): Core; CORE; DEPTH, sediment/rock; Gamma spectrometer; GSPEC; Junggar_Basin_ZK01; Natural gamma ray; Northwestern China
    Materialart: Dataset
    Format: text/tab-separated-values, 8408 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 41
    Publikationsdatum: 2023-04-18
    Schlagwort(e): Core; CORE; DEPTH, sediment/rock; Inclination; Junggar_Basin_ZK01; MAG; Magnetometer; Maximum angular deviation; Northwestern China
    Materialart: Dataset
    Format: text/tab-separated-values, 526 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 42
    Publikationsdatum: 2023-04-22
    Beschreibung: Soil temperature (°C) was collected in the uppermost levels of the active layer of "El Candidato" rock glacier, from 2019 to 2020. "El Candidato" is an active rock glacier placed in the Argentinian Central Andes at 4012 m a.s.l. (-31.898672°S; -70.178486°W). The purpose of the data set was to analyze the ground temperature in different pits, in terms of active layer depth estimation. The dataset includes the temperatures of two observation sites (GEC-1901 and GEC-1902) at different depths: 0 cm; 25 cm; 50 cm and 90 cm. The iButtons DS1922L (Maxim Integrated) took 6 measurements per day, at 02:00, 06:00, 10:00, 14:00, 18:00 and 22:00 hours (GMT-3), from 23/03/2019 to 02/03/2020. Soil temperature was calculated as the average of the six daily data.
    Schlagwort(e): active layer temperature and moisture; Andes mountains; Argentina; frozen ground; rock glacier; soil temperature
    Materialart: Dataset
    Format: application/zip, 2 datasets
    Standort Signatur Erwartet Verfügbarkeit
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  • 43
    Publikationsdatum: 2023-03-31
    Schlagwort(e): Device type; Direction; Event label; Geiseltalsee-0811_THERM; Geiseltalsee-1034_THERM; Germany; Height; Infrared radiation pyrometer, Heitronics, KT19.85II; Inland Water Remote Sensing Validation Campaign 2017; IWRSVC-2017; Principal investigator; Temperature, water; water temperature
    Materialart: Dataset
    Format: text/tab-separated-values, 535 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 44
    Publikationsdatum: 2023-03-31
    Schlagwort(e): Device type; Direction; Event label; Germany; Height; Infrared radiation pyrometer, Heitronics, KT19.85II; Inland Water Remote Sensing Validation Campaign 2017; IWRSVC-2017; Principal investigator; Suessersee-1211_THERM; Suessersee-1415_THERM; Temperature, water
    Materialart: Dataset
    Format: text/tab-separated-values, 685 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 45
    Publikationsdatum: 2023-03-31
    Schlagwort(e): Area/locality; Arendsee-S0856_PHYTO; Arendsee-S0857_PHYTO; Biovolume; Cell; Class; Comment; DATE/TIME; Depth, bottom/max; Depth, top/min; DEPTH, water; Event label; Germany, Saxony-Anhalt; Identification; Inland Water Remote Sensing Validation Campaign 2017; IWRSVC-2017; PHYTONET; Phytoplankton net; Principal investigator; Quantitative phytoplankton method (Utermöhl, 1958); Taxon/taxa; Time Stamp
    Materialart: Dataset
    Format: text/tab-separated-values, 336 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 46
    Publikationsdatum: 2023-03-31
    Schlagwort(e): Date/time end; Date/time start; Dew/frost point; Event label; Germany; Humidity, relative; Inland Water Remote Sensing Validation Campaign 2017; IWRSVC-2017; Multiparameter sensor, Ahlborn, ALMEMO D6; Pressure, atmospheric; Principal investigator; Suessersee-0902_MPS; Suessersee-1001_MPS; Temperature, air; Wind direction; Wind speed
    Materialart: Dataset
    Format: text/tab-separated-values, 17 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 47
    Publikationsdatum: 2023-03-31
    Schlagwort(e): Area/locality; Biovolume; Cell; Class; Comment; DATE/TIME; Depth, bottom/max; Depth, top/min; DEPTH, water; Event label; Geiseltalsee-S0858_PHYTO; Geiseltalsee-S0859_PHYTO; Germany, Saxony-Anhalt; Identification; Inland Water Remote Sensing Validation Campaign 2017; IWRSVC-2017; PHYTONET; Phytoplankton net; Principal investigator; Quantitative phytoplankton method (Utermöhl, 1958); Taxon/taxa; Time Stamp
    Materialart: Dataset
    Format: text/tab-separated-values, 588 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 48
    Publikationsdatum: 2023-03-31
    Schlagwort(e): Area/locality; Biovolume; Cell; Class; Comment; DATE/TIME; Depth, bottom/max; Depth, top/min; DEPTH, water; Event label; Germany, Saxony-Anhalt; Identification; Inland Water Remote Sensing Validation Campaign 2017; IWRSVC-2017; Kelbra-S0862_PHYTO; Kelbra-S0863_PHYTO; PHYTONET; Phytoplankton net; Principal investigator; Quantitative phytoplankton method (Utermöhl, 1958); Taxon/taxa; Time Stamp
    Materialart: Dataset
    Format: text/tab-separated-values, 276 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 49
    Publikationsdatum: 2023-03-31
    Schlagwort(e): Area/locality; Biovolume; Cell; Class; Comment; DATE/TIME; Depth, bottom/max; Depth, top/min; DEPTH, water; Event label; Germany, Saxony-Anhalt; Identification; Inland Water Remote Sensing Validation Campaign 2017; IWRSVC-2017; PHYTONET; Phytoplankton net; Principal investigator; Quantitative phytoplankton method (Utermöhl, 1958); Rappbode-S0860_PHYTO; Rappbode-S0861_PHYTO; Taxon/taxa; Time Stamp
    Materialart: Dataset
    Format: text/tab-separated-values, 756 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 50
    Publikationsdatum: 2023-03-31
    Schlagwort(e): Area/locality; Biovolume; Cell; Class; Comment; DATE/TIME; Depth, bottom/max; Depth, top/min; DEPTH, water; Depth comment; Event label; Germany, Saxony-Anhalt; Identification; Inland Water Remote Sensing Validation Campaign 2017; IWRSVC-2017; PHYTONET; Phytoplankton net; Principal investigator; Quantitative phytoplankton method (Utermöhl, 1958); Suessersee-S0864_PHYTO; Suessersee-S0865_PHYTO; Suessersee-S0866_PHYTO; Suessersee-S0867_PHYTO; Suessersee-S0868_PHYTO; Suessersee-S0869_PHYTO; Suessersee-S0870_PHYTO; Suessersee-S0871_PHYTO; Suessersee-S0873_PHYTO; Suessersee-S0884_PHYTO; Suessersee-S0885_PHYTO; Taxon/taxa; Time Stamp
    Materialart: Dataset
    Format: text/tab-separated-values, 3339 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 51
    Publikationsdatum: 2023-03-31
    Schlagwort(e): Chlorophyll a; Conductivity; CTD profiles; DATE/TIME; Event label; Geiseltalsee-0800_SS_MPS1; Geiseltalsee-0830_SS_MPS1; Geiseltalsee-0845_SS_MPS1; Geiseltalsee-0900_SS_MPS1; Geiseltalsee-0901_SS_MPS1; Geiseltalsee-0958_SS_MPS1; Geiseltalsee-1000_SS_MPS1; Geiseltalsee-1019_SS_MPS1; Geiseltalsee-1031_SS_MPS1; Geiseltalsee-1059_SS_MPS1; Geiseltalsee-1100_SS_MPS1; Geiseltalsee-1143_SS_MPS1; Germany; Inland Water Remote Sensing Validation Campaign 2017; IWRSVC-2017; Multi parameter probe (CTD), Sea & Sun Technology GmbH, CTD90M; Oxygen, dissolved; Oxygen saturation; pH; Phycocyanin; Phycoerythrin; Pressure, water; Principal investigator; Salinity; Sound velocity in water; Temperature, water; Turbidity (Formazin Turbidity Unit)
    Materialart: Dataset
    Format: text/tab-separated-values, 210676 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 52
    Publikationsdatum: 2023-03-31
    Schlagwort(e): Device type; Direction; Event label; Germany; Height; Infrared radiation pyrometer, Heitronics, KT19.85II; Inland Water Remote Sensing Validation Campaign 2017; IWRSVC-2017; Principal investigator; Suessersee-0823_THERM; Suessersee-0903_THERM; Suessersee-0952_THERM; Suessersee-1115_THERM; Suessersee-1145_THERM; Temperature, water
    Materialart: Dataset
    Format: text/tab-separated-values, 1220 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 53
    Publikationsdatum: 2023-03-31
    Schlagwort(e): Acid/Base capacity analysis (DIN 38409 -H7); Acid/Base DIN 38409 -H7; Acid capacity 4.3; Acid capacity 8.2; Alloxanthin; Ammonium-nitrogen; Arendsee-1_WS_28; Arendsee-1_WS_30; AS-1_WS_28; AS-1_WS_30; Base capacity 4.3; Base capacity 8.2; beta-Carotene; Calcium; Carbon, inorganic, dissolved; Carbon, inorganic, total; Carbon, organic, dissolved; Carbon, organic, total; Carbon analyzer; CFA; Chl (DIN 38412 L16); Chloride; Chlorophyll a; Chlorophyll b; Chlorophyll determination (DIN 38412 L16); Continuous Flow Analysis; Date/Time of event; Diadinoxanthin; Diatoxanthin; DIMA-IC; Echinenone; Event label; Filtered (QF20); Filtration basic analysis - quartz fiber round filter (QF20); Fucoxanthin; Germany; HPLCO; ICP-AES; Inductively coupled plasma atomic emission spectroscopy; Inland Water Remote Sensing Validation Campaign 2017; Iron; IWRSVC-2017; Liquid ion chromatography (DIN EN ISO 10304-1); Location; Lutein; Magnesium; Manganese; Nitrate-nitrogen; Nitrite-nitrogen; Nitrogen, total; Optional event label; Peridinin; Pheophytin a; Pheophytin b; Phosphorus, reactive soluble; Phosphorus, total; Phosphorus, total dissolved; Photometric; Photometry; Pigments analysis by HPLC (UV and FLD); Potassium; Principal investigator; Sample comment; Sample ID; Silicon; Sodium; Sulfate; Suspended matter, total; Violaxanthin; Water sample; WS; Zeaxanthin
    Materialart: Dataset
    Format: text/tab-separated-values, 165 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 54
    Publikationsdatum: 2023-03-31
    Schlagwort(e): Acid/Base capacity analysis (DIN 38409 -H7); Acid/Base DIN 38409 -H7; Acid capacity 4.3; Acid capacity 8.2; Alloxanthin; Ammonium-nitrogen; Base capacity 4.3; Base capacity 8.2; beta-Carotene; Calcium; Carbon, inorganic, dissolved; Carbon, inorganic, total; Carbon, organic, dissolved; Carbon, organic, total; Carbon analyzer; CFA; Chl (DIN 38412 L16); Chloride; Chlorophyll a; Chlorophyll b; Chlorophyll determination (DIN 38412 L16); Continuous Flow Analysis; Date/Time of event; Diadinoxanthin; Diatoxanthin; DIMA-IC; Echinenone; Event label; Filtered (QF20); Filtration basic analysis - quartz fiber round filter (QF20); Fucoxanthin; Geiseltalsee-1_WS_28; Geiseltalsee-1_WS_30; Germany; GTS-1_WS_28; GTS-1_WS_30; HPLCO; ICP-AES; Inductively coupled plasma atomic emission spectroscopy; Inland Water Remote Sensing Validation Campaign 2017; Iron; IWRSVC-2017; Liquid ion chromatography (DIN EN ISO 10304-1); Location; Lutein; Magnesium; Manganese; Nitrate-nitrogen; Nitrite-nitrogen; Nitrogen, total; Optional event label; Peridinin; Pheophytin a; Pheophytin b; Phosphorus, reactive soluble; Phosphorus, total; Phosphorus, total dissolved; Photometric; Photometry; Pigments analysis by HPLC (UV and FLD); Potassium; Principal investigator; Sample comment; Sample ID; Silicon; Sodium; Sulfate; Suspended matter, total; Violaxanthin; Water sample; WS; Zeaxanthin
    Materialart: Dataset
    Format: text/tab-separated-values, 166 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 55
    Publikationsdatum: 2023-03-31
    Schlagwort(e): Acid/Base capacity analysis (DIN 38409 -H7); Acid/Base DIN 38409 -H7; Acid capacity 4.3; Acid capacity 8.2; Alloxanthin; Ammonium-nitrogen; Base capacity 4.3; Base capacity 8.2; beta-Carotene; Calcium; Carbon, inorganic, dissolved; Carbon, inorganic, total; Carbon, organic, dissolved; Carbon, organic, total; Carbon analyzer; CFA; Chl (DIN 38412 L16); Chloride; Chlorophyll a; Chlorophyll b; Chlorophyll determination (DIN 38412 L16); Continuous Flow Analysis; Date/Time of event; Diadinoxanthin; Diatoxanthin; DIMA-IC; Echinenone; Event label; Filtered (QF20); Filtration basic analysis - quartz fiber round filter (QF20); Fucoxanthin; Germany; HPLCO; ICP-AES; Inductively coupled plasma atomic emission spectroscopy; Inland Water Remote Sensing Validation Campaign 2017; Iron; IWRSVC-2017; Kelbra-1_WS_28; Kelbra-1_WS_30; Liquid ion chromatography (DIN EN ISO 10304-1); Location; Lutein; Magnesium; Manganese; Nitrate-nitrogen; Nitrite-nitrogen; Nitrogen, total; Optional event label; Peridinin; Pheophytin a; Pheophytin b; Phosphorus, reactive soluble; Phosphorus, total; Phosphorus, total dissolved; Photometric; Photometry; Pigments analysis by HPLC (UV and FLD); Potassium; Principal investigator; Sample comment; Sample ID; Silicon; Sodium; Sulfate; Suspended matter, total; TSK-1_WS_28; TSK-1_WS_30; Violaxanthin; Water sample; WS; Zeaxanthin
    Materialart: Dataset
    Format: text/tab-separated-values, 152 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 56
    Publikationsdatum: 2023-03-31
    Schlagwort(e): Acid/Base capacity analysis (DIN 38409 -H7); Acid/Base DIN 38409 -H7; Acid capacity 4.3; Acid capacity 8.2; Alloxanthin; Ammonium-nitrogen; Base capacity 4.3; Base capacity 8.2; beta-Carotene; Calcium; Carbon, inorganic, dissolved; Carbon, inorganic, total; Carbon, organic, dissolved; Carbon, organic, total; Carbon analyzer; CFA; Chl (DIN 38412 L16); Chloride; Chlorophyll a; Chlorophyll b; Chlorophyll determination (DIN 38412 L16); Continuous Flow Analysis; Date/Time of event; Diadinoxanthin; Diatoxanthin; DIMA-IC; Echinenone; Event label; Filtered (QF20); Filtration basic analysis - quartz fiber round filter (QF20); Fucoxanthin; Germany; HPLCO; ICP-AES; Inductively coupled plasma atomic emission spectroscopy; Inland Water Remote Sensing Validation Campaign 2017; Iron; IWRSVC-2017; Liquid ion chromatography (DIN EN ISO 10304-1); Location; Lutein; Magnesium; Manganese; Nitrate-nitrogen; Nitrite-nitrogen; Nitrogen, total; Optional event label; Peridinin; Pheophytin a; Pheophytin b; Phosphorus, reactive soluble; Phosphorus, total; Phosphorus, total dissolved; Photometric; Photometry; Pigments analysis by HPLC (UV and FLD); Potassium; Principal investigator; Rappbode_WS_28; Rappbode_WS_30; Sample comment; Sample ID; Silicon; Sodium; Sulfate; Suspended matter, total; Violaxanthin; Water sample; WS; YR1_WS_28; YR1_WS_30; Zeaxanthin
    Materialart: Dataset
    Format: text/tab-separated-values, 151 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 57
    Publikationsdatum: 2023-03-31
    Schlagwort(e): Acid/Base capacity analysis (DIN 38409 -H7); Acid/Base DIN 38409 -H7; Acid capacity 4.3; Acid capacity 8.2; Alloxanthin; Ammonium-nitrogen; Base capacity 4.3; Base capacity 8.2; beta-Carotene; Calcium; Carbon, inorganic, dissolved; Carbon, inorganic, total; Carbon, organic, dissolved; Carbon, organic, total; Carbon analyzer; CFA; Chl (DIN 38412 L16); Chloride; Chlorophyll a; Chlorophyll b; Chlorophyll determination (DIN 38412 L16); Continuous Flow Analysis; Date/Time of event; Diadinoxanthin; Diatoxanthin; DIMA-IC; Echinenone; Event label; Filtered (QF20); Filtration basic analysis - quartz fiber round filter (QF20); Fucoxanthin; Germany; HPLCO; ICP-AES; Inductively coupled plasma atomic emission spectroscopy; Inland Water Remote Sensing Validation Campaign 2017; Iron; IWRSVC-2017; Liquid ion chromatography (DIN EN ISO 10304-1); Location; Lutein; Magnesium; Manganese; Nitrate-nitrogen; Nitrite-nitrogen; Nitrogen, total; Optional event label; Peridinin; Pheophytin a; Pheophytin b; Phosphorus, reactive soluble; Phosphorus, total; Phosphorus, total dissolved; Photometric; Photometry; Pigments analysis by HPLC (UV and FLD); Potassium; Principal investigator; Sample comment; Sample ID; Silicon; Sodium; Suessersee-TP_WS_28; Suessersee-TP_WS_29; Suessersee-TP_WS_30; Sulfate; Suspended matter, total; SÜS-TP_WS_28; SÜS-TP_WS_29; SÜS-TP_WS_30; Violaxanthin; Water sample; WS; Zeaxanthin
    Materialart: Dataset
    Format: text/tab-separated-values, 742 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 58
    Publikationsdatum: 2023-02-15
    Beschreibung: The dataset provides information about the microplastic contamination in surface waters of the Weddell Sea, Antarctica. Samples (n = 34) were collected during two expeditions on RV Polarstern, PS111 (2018) and PS117 (2018/2019), to the Antarctic Weddell Sea, taking place during austral summer. Samples were collected with a surface trawl (manta trawl; 5gyres Institute, Los Angeles, California; 60 x18 cm² rectangular aperture) equipped with a 300 µm mesh and a mechanical flowmeter. On average 234.6 (±83.7 SD) m³ of seawater were filtered per sample (total filtered volume: 7974 m³). Putative microplastic particles were sorted visually under a dissecting microscope (magnification 6.7-45x) and analyzed by means of by attenuated total reflection Fourier transform infrared (ATR-FTIR) spectroscopy.
    Schlagwort(e): Acrylates, polyurethanes, varnish; Antarctica; ANT-XXXIII/2; Campaign of event; DATE/TIME; DEPTH, water; Event label; FTIR spectroscopy; LATITUDE; Lazarev Sea; LONGITUDE; Manta trawl; Microplastic abundance; Microplastic abundance per area; Microplastic particles; Microplastics; MTR; Polarstern; Polyamide; Polyester; Polyethylene; Polypropylene; Polystyrene; PS111; PS111_10-1; PS111_12-1; PS111_13-1; PS111_19-1; PS111_20-1; PS111_28-4; PS111_64-1; PS111_74-5; PS111_85-2; PS111_9-1; PS117; PS117_100-2; PS117_14-3; PS117_15-7; PS117_17-2; PS117_22-3; PS117_26-3; PS117_32-2; PS117_3-4; PS117_34-6; PS117_35-1; PS117_36-2; PS117_38-2; PS117_41-11; PS117_41-14; PS117_41-5; PS117_41-7; PS117_48-3; PS117_56-7; PS117_57-5; PS117_64-3; PS117_81-3; PS117_83-1; PS117_95-2; PS117_99-4; Resins; Sample ID; Sample volume; Scotia Sea; Silicone; South Atlantic Ocean; Southern Ocean; surface water; Total area; Vinyl chloride, vinyl acetate, maleic acid, terpolymer; Weddell Sea
    Materialart: Dataset
    Format: text/tab-separated-values, 1122 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 59
    Publikationsdatum: 2023-02-21
    Schlagwort(e): DEPTH, sediment/rock; Foraminifera; Foraminifera, planktic, shell Feret diameter; Foraminifera, planktic, δ44/40Ca; Foraminifera, right coiling direction; Foraminiferal Abnormality Index; GUB; Gubbio; Italy; Ocean acidification; paleoclimatology; Paleooceanography; Precision, internal; Rotalipora cushmani, δ13C; Rotalipora cushmani, δ18O; Sample ID; Species
    Materialart: Dataset
    Format: text/tab-separated-values, 192 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 60
    Publikationsdatum: 2023-02-21
    Schlagwort(e): DEPTH, sediment/rock; Foraminifera; GUB; Gubbio; Italy; Ocean acidification; paleoclimatology; Paleooceanography; Precision, internal; Sample ID; δ13C, bulk carbonate; δ18O, bulk carbonate; δ44/40 Ca, bulk carbonate
    Materialart: Dataset
    Format: text/tab-separated-values, 178 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 61
    Publikationsdatum: 2023-02-21
    Schlagwort(e): Age, relative; Foraminifera; Foraminifera, planktic, δ44/40Ca; GUB; Gubbio; Italy; Ocean acidification; paleoclimatology; Paleooceanography; δ44/40 Ca, bulk carbonate
    Materialart: Dataset
    Format: text/tab-separated-values, 69 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 62
    Publikationsdatum: 2023-02-21
    Schlagwort(e): Aristocrat_Angus_core_1; CDRILL; Colorado, United States of America; Core drilling; DEPTH, sediment/rock; Foraminifera; Ocean acidification; paleoclimatology; Paleooceanography; Precision, internal; δ13C, bulk carbonate; δ44/40 Ca, bulk carbonate
    Materialart: Dataset
    Format: text/tab-separated-values, 125 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 63
    Publikationsdatum: 2023-03-29
    Beschreibung: Tap waters were collected from major metropolitan areas of the western United States. Tap waters were sampled between 2012-2015 from seven metropolitan areas: Los Angeles-Long Beach-Santa Ana (CA), Phoenix-Mesa-Glendale (AZ), Salt Lake City (UT), San Diego-Carlsbad-San Marcos (CA), San Francisco-Oakland-Fremont (CA), San Jose-Sunnyvale-Santa Clara (CA), and Riverside-San Bernardino-Ontario (CA). These areas represent some of the most populous in the US and employ a diversity of water management practices. Here hydrogen (d2H) and oxygen (d18O) isotope values along with strontium isotope ratios (87Sr/86Sr) and element abundances were measured. d2H and d18O of 2039 tap waters were measured following Tipple et al., 2017 (Water Research, 119, 212-224). 87Sr/86Sr and elemental compositions of 820 and 806 waters were analyzed following Tipple et al., 2018 (Scientific Reports, 8, 2224), respectively. The purpose of these data was to assess spatial, temporal, and climatic dynamics in isotope and elemental geochemistry of tap waters. We found that the isotope and elemental geochemistry of tap waters corresponded to the water sources (e.g., transported water, local surface water, groundwater, etc.) and management practices (e.g., storage in open reservoirs, mixing, etc.) for discrete areas within the larger metropolitan areas.
    Schlagwort(e): drought; elemental composition; hydrogen; hydrology; Oxygen; Strontium
    Materialart: Dataset
    Format: application/zip, 3 datasets
    Standort Signatur Erwartet Verfügbarkeit
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  • 64
    Publikationsdatum: 2023-03-29
    Schlagwort(e): Area/locality; Arizona_tap_water; California_tap_water; DATE/TIME; drought; elemental composition; Event label; hydrogen; hydrology; LATITUDE; Location; LONGITUDE; One-time_collection_tap_water; Oxygen; Salt_Lake_Valley_tap_water; Sample ID; Strontium; United States of America; Water sample; WS; δ18O, water; δ18O, water, standard deviation; δ Deuterium, water; δ Deuterium, water, standard deviation
    Materialart: Dataset
    Format: text/tab-separated-values, 11414 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 65
    Publikationsdatum: 2023-03-29
    Schlagwort(e): Area/locality; Arizona_tap_water; California_tap_water; DATE/TIME; drought; elemental composition; Event label; hydrogen; hydrology; LATITUDE; Location; LONGITUDE; One-time_collection_tap_water; Oxygen; Salt_Lake_Valley_tap_water; Sample ID; Strontium; Strontium-87/Strontium-86 ratio; Strontium-87/Strontium-86 ratio, standard deviation; United States of America; Water sample; WS
    Materialart: Dataset
    Format: text/tab-separated-values, 3286 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 66
    Publikationsdatum: 2023-03-29
    Schlagwort(e): Aluminium; Antimony; Area/locality; Arizona_tap_water; Arsenic; Barium; Beryllium; Boron; Cadmium; Caesium; Calcium; California_tap_water; Cerium; Chromium; Cobalt; Copper; DATE/TIME; drought; elemental composition; Europium; Event label; hydrogen; hydrology; Iron; Lanthanum; LATITUDE; Lead; Lithium; Location; LONGITUDE; Magnesium; Manganese; Molybdenum; Neodymium; Nickel; One-time_collection_tap_water; Oxygen; Potassium; Salt_Lake_Valley_tap_water; Sample ID; Scandium; Selenium; Sodium; Strontium; Thorium; United States of America; Uranium; Vanadium; Water sample; WS; Yttrium; Zinc
    Materialart: Dataset
    Format: text/tab-separated-values, 16295 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 67
    Publikationsdatum: 2023-04-17
    Beschreibung: We illustrate the response of local and regional vegetation, aquatic ecosystem, and fire activity to volcanic eruptions in close connection to prevailing climate conditions. To understand these complex responses, we selected five volcaniclastic depositions in the Lake Van (Turkey) sediments from different interglacial/glacial periods. We analyzed high-resolution pollen data, non-pollen palynomorphs (NPPs), and microscopic charcoal particles (〉20 µm) from annually laminated lacustrine sediments with precise age control, allowing us to quantify recovery time in varve years. This study highlights that the extent and duration of the volcanic event, the thickness of subsequent volcanic deposits, the respective climatic conditions strongly influence the impact on terrestrial and aquatic ecosystems.
    Materialart: Dataset
    Format: application/zip, 5 datasets
    Standort Signatur Erwartet Verfügbarkeit
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  • 68
    Publikationsdatum: 2023-04-18
    Schlagwort(e): Core; CORE; DEPTH, sediment/rock; Junggar_Basin_ZK01; Northwestern China; Rubidium; Rubidium, standard deviation; Rubidium/Strontium ratio; Strontium; Strontium, standard deviation; X-ray fluorescence (XRF)
    Materialart: Dataset
    Format: text/tab-separated-values, 6005 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 69
    Publikationsdatum: 2023-05-10
    Beschreibung: We estimated fine-root biomass (FRB) and production (FRP) and their depth distribution and plant functional type (PFT) composition in four forested boreal peatland site types that varied in soil nutrient and water-table level regimes, ground vegetation and tree stand characteristics. Two were pine-dominated nutrient-poor sites (dwarf-shrub pine bog, tall-sedge pine fen) and two spruce-dominated nutrient-rich sites (Vaccinium myrtillus spruce swamp, herb-rich hardwood-spruce swamp). Measurements were done in two sites per site type: one undrained site and one site that had been drained for forestry. In each of the eight sites, we established three measurement plots. FRB was estimated by separating and visually identifying roots from soil cores extending down to 50-cm depth. The cores were taken in late August, 2016. FRP was estimated using ingrowth cores covering the same depth, and the separated roots were identified using Fourier transform infrared spectroscopy (FTIR). The ingrowth cores were incubated for two years, starting in November 2015 and ending in November 2017. Tree-stand basal area and stem volume per species, and projection cover of ground vegetation per species were determined in summer 2018. We monitored the soil water-table level and soil temperatures in 5 and 30 cm depths with dataloggers. Soil pH, bulk density, and carbon, nitrogen, phosphorus, potassium, calcium, magnesium, iron, manganese, boron, zinc, and copper concentrations were measured from peat cores extending down to 50-cm depth and taken simultaneously with the FRB cores. FRB, FRP and peat properties are presented for 10-cm depth segments. FRB, FRP and peat properties are presented for 10-cm depth segments. Peat cores were taken with a box-shaped 65 mm x 37 mm peat corer, except in the wet TP site where a 60 mm x 60 mm corer was used.
    Schlagwort(e): peatland drainage; Peatland Ecology; peatlands; root biomass; rooting depth; root production; soil temperature; vegetation; Water table depth
    Materialart: Dataset
    Format: application/zip, 6 datasets
    Standort Signatur Erwartet Verfügbarkeit
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  • 70
    Publikationsdatum: 2023-05-09
    Beschreibung: The dataset compiles morphological measurements of coccoliths (Gephyrocapsa spp.) from one sample from the Western Equatorial Pacific. The morphological measurements were applied to evaluate coccolithophore preservation aspects under different dissolution intensities in a laboratory experiment. For the dissolution experiment, we added different amounts of Calgon solution (0, 0.4, 0.8, 2, 4, and 6 ml) in subsamples prepared from one sediment sample (ODP 807A-2H2W57-59 cm). The length, volume, area, and mass were obtained using the C-Calcita software from images taken under a cross-polarized microscope (Zeiss AX10). Thickness and the shape factor ks were calculated. The columns include the sample name, how much Calgon was added into sediment suspension, the number of coccoliths measured per sample, length, mean ks shape factor and standard deviation of mean ks/mean ks.
    Schlagwort(e): Calculated after Gerotto et al. (2022); Calculated average/mean values; Coccoliths; Coccoliths, length; Coccoliths, mass; Coccoliths, shape factor; Coccoliths, shape factor, standard deviation; Coccoliths, thickness; Coccoliths, volume; dissolution experiment; Elevation of event; Emiliania huxleyi; Event label; Gephyrocapsa oceanica; Giant box corer; GIK17925-2; GIK17930-1; GIK17931-1; GIK17932-1; GIK17934-1; GIK17936-1; GIK17937-1; GIK17938-1; GIK17939-1; GIK17940-1; GIK17941-1; GIK17943-1; GIK17944-1; GIK17945-1; GIK17946-1; GIK17949-1; GIK17951-1; GIK17955-1; GIK17956-1; GIK17957-1; GIK17958-1; GIK17959-1; GIK17960-1; GIK17961-1; GIK17962-1; GIK17963-2; GIK17964-1; GIK17965-1; GKG; Latitude of event; Longitude of event; Method/Device of event; MONITOR MONSUN; morphological measurements; SO95; Sonne; South China Sea; surface sediments
    Materialart: Dataset
    Format: text/tab-separated-values, 196 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 71
    Publikationsdatum: 2023-05-09
    Beschreibung: Zooplankton sampled approximately at monthly intervals between April 1988 and December 2016 at Station E2CO (A Coruña, NW Spain) with double-oblique tows of a 50-cm diameter Juday-Bogorov plankton net with 250 μm (until 1997) or 200 μm (from 1997 onwards) mesh size. The net was equipped with a General Oceanic Flowmeter for the calculation of water filtered and a depth recorder. All samples were collected between 10:00 and 14:00 o'clock (local time) and were preserved in 2−4% sodium borate-buffered formaldehyde. Sub-samples were taken to estimate total zooplankton abundances (in ind × m−3) by direct examination using a stereo microscope, and biomass (in μg DW × L−1) by weighting dried aliquots (50 ºC, 48 h). Species names referenced to the Word Register of Marine Species (last access: June 2019). Zooplankton identification and counts were made by M.T. Álvarez-Ossorio (until 2015), E. Rey and M.A. Louro (2016). These series are part of the long-term observational project RADIALES (Instituto Español de Oceanografía, IEO, Spain).
    Schlagwort(e): Abundance; Biomass; Bottle, Niskin; Coastal; DATE/TIME; Depth, bottom/max; Depth, top/min; E2CO; Galicia Margin; Mesh size; NE Atlantic; NIS; NW Spain; Phytoplankton; RADIALES; seRies temporAles De oceanografIA en eL norte de ESpaña; Upwelling; Zooplankton; Zooplankton, biomass, dry mass
    Materialart: Dataset
    Format: text/tab-separated-values, 1656 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 72
    Publikationsdatum: 2023-05-09
    Beschreibung: The data set contains meteorological measurements from an automatic weather station installed on rock next to the glacier front (92 m a.s.l.) of Schiaparelli Glacier, Cordillera Darwin, Chile. The station has been installed by the Humboldt University Berlin in September 2015. It measures 2m air temperature (T), relative humidity (RH), solar radiation (SWin), wind speed (WS), wind direction (Dir) and precipitation (RRR) in an hourly interval (averaged, precipitation is accumulated). The data provided here has been corrected for outliers, radiative heating of the temperature sensor and sensor freezing.
    Schlagwort(e): Automated weather station (AWS); AWSrock_Schiaparelli; Campbell Scientific CS215 Temperature & Relative Humidity Sensor; DATE/TIME; Humidity, relative; Precipitation; Pyranometer, Campbell Scientific, CS300-L; Short-wave downward (GLOBAL) radiation; Temperature, air; Tipping bucket rain gauge, R. M. Young, 52203; Wind direction; Wind monitor, R.M. Young, model 05103; Wind speed
    Materialart: Dataset
    Format: text/tab-separated-values, 236727 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 73
    Publikationsdatum: 2023-05-10
    Beschreibung: Ingrowth cores were used according to Bhuiyan et al. (2017), and incubated for two years from November 2015 to November 2017. Roots were manually separated and identified to species group level with FTIR according to Straková et al. (2020). Drying temperature for roots was 40 °C.
    Schlagwort(e): Coniferophyta; Coniferophyta, root biomass production; DEPTH, soil; Depth, soil, maximum; Depth, soil, minimum; Forbs; Forbs, root biomass production; Graminoids; Graminoids, root biomass production; LATITUDE; LONGITUDE; peatland drainage; Peatland Ecology; peatlands; Plot; Replicates; root biomass; Root biomass production, fine roots; rooting depth; root production; Shrubs and Birch; Shrubs and Birch, root biomass production; Site; soil temperature; Subplot; vegetation; Water table depth
    Materialart: Dataset
    Format: text/tab-separated-values, 8194 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 74
    Publikationsdatum: 2023-05-10
    Beschreibung: Measurements between November 2015 - November 2017.
    Schlagwort(e): Odyssey Capacitance Water Level Logger; peatland drainage; Peatland Ecology; peatlands; Percentile 10; Percentile 25; Percentile 50; Percentile 75; Percentile 90; Plot; root biomass; rooting depth; root production; Site; soil temperature; vegetation; Water table depth; Water table level, maximum; Water table level, mean; Water table level, minimum; Water table level, range; Water table level, standard deviation
    Materialart: Dataset
    Format: text/tab-separated-values, 384 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 75
    Publikationsdatum: 2023-05-10
    Beschreibung: Dataloggers: T: i-Button DS1921G, Maxim Integrated Products. Cumulative soil temperature sums were calculated from daily mean temperatures, using 5 °C as the threshold temperature. Measurements between November 2015 - November 2017.
    Schlagwort(e): Calculated; DEPTH, soil; peatland drainage; Peatland Ecology; peatlands; Plot; root biomass; rooting depth; root production; Site; soil temperature; Temperature, soil, cumulative; Temperature, soil, maximum; Temperature, soil, mean; Temperature, soil, median; Temperature, soil, minimum; Temperature, soil, range; Temperature, soil, standard deviation; vegetation; Water table depth
    Materialart: Dataset
    Format: text/tab-separated-values, 515 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 76
    Publikationsdatum: 2023-05-04
    Schlagwort(e): Area; Area/locality; Black Forest; Comment; DEPTH, water; Depth layer, volume; Event label; Herrenwieser_See; Huzenbacher_See; Mummelsee; Schurmsee; Volume
    Materialart: Dataset
    Format: text/tab-separated-values, 292 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 77
    Publikationsdatum: 2023-05-04
    Beschreibung: Measurements of stable water isotopes (δ Deuterium, δ18O, δ13C) from the water column in the Fram Strait from the POLARSTERN cruises PS92 (ARK-XXIX/1, TRANSSIZ) and PS93.1 (ARK-XXIX/2.1) in May to July 2015. δ Deuterium and δ18O were measured with a Picarro 2130i CRDS System, δ13C with a Finnigan MAT 252 gas isotope ratio mass spectrometer with Gasbench 2 at MARUM - Center for Marine Environmental Sciences. The measurements were conducted in 2020/2021.
    Schlagwort(e): Arctic Ocean; ARK-XXIX/1, TRANSSIZ; ARK-XXIX/2.1; Comment; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Event label; Expendable CTD; Fram Strait; Giant box corer; GKG; ICE; Ice station; Isotope analyzer L2130-i, Picarro Inc.; Latitude of event; Longitude of event; Mass spectrometer Finnigan MAT 252; MUC; MultiCorer; Multicorer with television; North Greenland Sea; Polarstern; PS92; PS92/010-1; PS92/019-15; PS92/019-18; PS92/019-5; PS92/019-6; PS92/020-1; PS92/027-13; PS92/027-14; PS92/027-2; PS92/027-3; PS92/027-6; PS92/028-1; PS92/031-12; PS92/031-14; PS92/032-14; PS92/032-15; PS92/032-5; PS92/039-10; PS92/039-5; PS92/039-8; PS92/040-1; PS92/040-2; PS92/043-1; PS92/043-20; PS92/043-5; PS92/046-14; PS92/046-15; PS92/046-2; PS92/047-19; PS92/047-20; PS92/047-4; PS92/056-3; PS92/056-5; PS93/011-1; PS93/011-4; PS93/016-1; PS93/016-5; PS93/017-1; PS93/017-5; PS93/018-4; PS93/020-2; PS93/020-5; PS93/023-4; PS93/024-1; PS93/024-6; PS93/030-1; PS93/030-4; PS93/031-2; PS93/031-3; PS93/039-1; PS93/039-7; PS93/041-2; PS93/046-1; PS93/046-4; PS93.1; Sample comment; stable carbon isotope; stable oxygen isotope; stable water isotopes; TVMUC; Underwater video profiler; UVP; WP2; WP-2 towed closing plankton net; XCTD; δ13C; δ13C, uncertainty; δ18O, water; δ18O, water, uncertainty; δ Deuterium, water; δ Deuterium, water, uncertainty
    Materialart: Dataset
    Format: text/tab-separated-values, 2224 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 78
    Publikationsdatum: 2023-06-16
    Beschreibung: We provide here supplementary data of Levy et al. (2023). To investigate influencing factors of Planktic Foraminifera (PF) Mg uptake in hypersaline regions, we measured the Mg/Ca of two flux dominating PF species, Globigerinoides ruber albus and Turborotalita clarkei with its two phenotypes 'big' and 'encrusted', derived from a monthly resolved time series of sediment traps in the Gulf of Aqaba (GOA), northern Red Sea. Presented are a summary of average (mean) individual planktic Foraminifera specimen Mg/Ca as a function of depth and time. Sediment traps were deployed at depths of 120 m, 220 m, 350 m, 450 m and 570 m and a core top sample. The data provided is at a near-monthly resolution between June 2014 and June 2015. Mg/Ca was measured using single chamber Laser Ablation Inductively Coupled Plasma Mass Spectrometry (LA-ICP-MS) to account for the differences between succeeding chambers. The 'min' Mg/Ca and 'max' Mg/Ca represent distance from mean to extremities (i.e., range) for LA-ICP-MS measurements.
    Schlagwort(e): DATE/TIME; DEPTH, water; Event label; GoA_2013_MultiCorer; GoA_2014_SedTrap; Gulf of Aqaba; LA-ICP-MS; Laser ablation, Inductively coupled plasma mass spectrometry; Magnesium/Calcium ratio; Magnesium/Calcium ratio, maximum; Magnesium/Calcium ratio, minimum; Mg/Ca; MUC; MultiCorer; Sample method; Sampling date; Sea surface temperature; Sediment trap; Species; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI)
    Materialart: Dataset
    Format: text/tab-separated-values, 1092 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 79
    Publikationsdatum: 2023-06-19
    Beschreibung: Daily streamflow runoff observations of the Rofenache at gauge Vent.
    Schlagwort(e): daily; DATE/TIME; Gauge station; gauge Vent; GS; River discharge, daily mean; Rofenache; Rofental; Rofental, Ötztaler Alpen, Austria; streamflow
    Materialart: Dataset
    Format: text/tab-separated-values, 18263 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 80
    Publikationsdatum: 2023-06-19
    Beschreibung: Hydrothermal vents are a source of many trace metals to the oceans. Compared to mid ocean ridges, hydrothermal vent systems at arcs occur in shallower water depth and are much more diverse in fluid composition, resulting in highly variable water column trace metal concentrations. However, only few studies have focused on trace metal dynamics in hydrothermal plumes at volcanic arcs. During R/V Sonne cruise SO253 in 2016/2017, hydrothermal plumes from two hydrothermally active submarine volcanoes along the Kermadec arc in the Southwest Pacific Ocean were sampled for trace metals and nutrients: (1) Macauley, a magmatic dominated vent site located in water depths between 300 and 680 m, and (2) Brothers, located between 1,200 and 1,600 m water depth, where hydrothermalism influenced by water rock interactions and magmatically influenced vent sites occur near each other.
    Schlagwort(e): Brothers volcano; Cadmium; Center for Marine Environmental Sciences; Cobalt; Copper; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; HYDROTHERMADEC; hydrothermalism at intraoceanic arcs; Iron; Lanthanum; Latitude of event; Lead; Location; Longitude of event; Macauely volcano; Manganese; MARUM; Nickel; Nitrogen oxide; Phosphate; plume dispersion; Sample code/label; Silicon dioxide; SO253; SO253_10-1; SO253_12-1; SO253_4-1; SO253_46-1; SO253_49-1; SO253_53-1; SO253_54-1; SO253_57-1; SO253_58-1; SO253_60-1; SO253_6-1; SO253_62-1; SO253_70-1; SO253_83-1; Sonne_2; South Pacific Ocean; trace metals; Zinc; δ Helium-3
    Materialart: Dataset
    Format: text/tab-separated-values, 1783 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 81
    Publikationsdatum: 2023-06-19
    Schlagwort(e): active layer temperature and moisture; Andes mountains; Argentina; Calculated; Candidato_rock_glacier_GEC-1901; Central Andes, Argentina; DATE/TIME; DEPTH, soil; ELEVATION; frozen ground; GEC-1901; GLAC; Latitude of event; Location; Longitude of event; rock glacier; Sample ID; Sampling/measurements on glacier; soil temperature; Temperature, soil, daily mean
    Materialart: Dataset
    Format: text/tab-separated-values, 4104 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 82
    Publikationsdatum: 2023-06-19
    Schlagwort(e): active layer temperature and moisture; Andes mountains; Argentina; Candidato_rock_glacier_GEC-1902; Central Andes, Argentina; DATE/TIME; DEPTH, soil; ELEVATION; frozen ground; GEC-1902; GLAC; Latitude of event; Location; Longitude of event; rock glacier; Sample ID; Sampling/measurements on glacier; soil temperature; Temperature, soil, daily mean
    Materialart: Dataset
    Format: text/tab-separated-values, 4104 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 83
    facet.materialart.
    Unbekannt
    PANGAEA
    Publikationsdatum: 2023-06-10
    Beschreibung: The sedimentary record of Diss Mere, a lake in the UK, is 15 m long. Annul laminations (varves) are preserved between 9 and 13 m of sediment depth covering most of the Holocene from ca. 2100 to 10,300 cal BP. Varves consist of a pale lamina made of authigenic calcite crystals deposited in summer, and a dark lamina composed of, primarily, crysophyceae cyst, planktonic centric diatoms, filaments of organic matter and micrite, which represents lake sedimentation during autumn - winter. This dataset contains the varve (annual) thickness record and thickness of the seasonal layers. Data were collected in 2018-2019 and covers a time interval from 2069 to 10290 cal. a BP. Data are at annual resolution. Detailed microfacies analysis, varve counting, and varve thickness measurements were performed on the petrographic thin sections using a Leica (M205C) stereo-zoom petrological microscope with plane- and cross-polarised light, at 80x. Varve counting and varve thickness measurements were performed for each seasonal layer along the ca 4.2 m long sequence of varved sediments.
    Schlagwort(e): AGE; Age model, varve counting; DISS16; Diss Mere; East Anglia, UK; Holocene; PCUWI; Piston corer, UWITEC; Varve age; Varve counting; varve thickness; Varve thickness; Varve thickness, summer calcite layer; Varve thickness, winter organic layer
    Materialart: Dataset
    Format: text/tab-separated-values, 32888 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 84
    Publikationsdatum: 2023-06-08
    Beschreibung: The data set contains measurements of surface ablation recorded by an automatic ablation sensor at the frontal part of Schiaparelli Glacier, Cordillera Darwin, Chile. The sensor was installed by the Universidade Federal do Rio Grande, Brazil, in September 2016 and uninstalled in November 2017. The sensor records the time passed for every 15 cm of surface lowering. Unrealistic records have been excluded. The data set gives the name, latitude (latitude), longitude (longitude), start of the period (Date1), end of the period (Date2) and total ablation during that period (ablation).
    Schlagwort(e): Ablation, water equivalent; Ablation sensor; DATE/TIME; LATITUDE; LONGITUDE; Name; Schiaparelli_AblationSensor
    Materialart: Dataset
    Format: text/tab-separated-values, 70 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 85
    Publikationsdatum: 2023-06-03
    Beschreibung: Glacier surface velocities are measured on four neighbouring glaciers in the Ötztal Alps (Austria). Measurements of the annual horizontal flow velocity (Δs/a [m/a]) on Hintereisferner (HEF) were started in 1885 at stone lines (cross-profiles). Annual values for the stone lines are given as mean values from the stones at the cross-profiles. On Kesselwandferner, the annual horizontal (Δs/a [m/a]) and vertical velocities (Δv/a [m/a], positive upwards and negative downwards) are measured at ablation and accumulation stakes since 1965. On Taschachferner (TSF) and Gepatschferner (GPF), the records of annual and subseasonal horizontal flow velocities at ablation stakes were started in 2009. This data series is a continuation of: doi:10.1594/PANGAEA.896741
    Schlagwort(e): Austria; DATE/TIME; Event label; Gepatschferner; GLAC; Glacial flow velocity, horizontal, annual; LATITUDE; LONGITUDE; Number; Sampling/measurements on glacier; Taschachferner_E; Tirol, Austria; UTM Easting, Universal Transverse Mercator; UTM Northing, Universal Transverse Mercator; Years
    Materialart: Dataset
    Format: text/tab-separated-values, 60 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 86
    Publikationsdatum: 2023-06-03
    Beschreibung: Glacier surface velocities are measured on four neighbouring glaciers in the Ötztal Alps (Austria). Measurements of the annual horizontal flow velocity (Δs/a [m/a]) on Hintereisferner (HEF) were started in 1885 at stone lines (cross-profiles). Annual values for the stone lines are given as mean values from the stones at the cross-profiles. On Kesselwandferner, the annual horizontal (Δs/a [m/a]) and vertical velocities (Δv/a [m/a], positive upwards and negative downwards) are measured at ablation and accumulation stakes since 1965. On Taschachferner (TSF) and Gepatschferner (GPF), the records of annual and subseasonal horizontal flow velocities at ablation stakes were started in 2009. This data series is a continuation of: doi:10.1594/PANGAEA.896741
    Schlagwort(e): DATE/TIME; Gepatschferner; GLAC; Glacial flow velocity, horizontal, annual; Sampling/measurements on glacier; Tirol, Austria
    Materialart: Dataset
    Format: text/tab-separated-values, 4 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 87
    Publikationsdatum: 2023-05-19
    Beschreibung: Dataset of radiocarbon dates obtained on peat and lacustrine/palsutrine sediment from several wetlands of North Cantal (Massif Central, France). All these data were acquired during the collective research project (PCR) on the archaeology of the Sianne and Sumène Valleys during the Bronze Age and the 1st Iron Age (Haute-Auvergne) coordinated by F. Delrieu (DRAC ARA, Service Régional de l'Archéologie, F-63000 Clermont-Ferrand).
    Schlagwort(e): Age, 14C AMS; Age, 14C calibrated, IntCal20 (Reimer et al. 2020); Age, comment; Age, dated; Age, dated material; Age, dated standard deviation; BG; calculated, 1 sigma; Calendar age, maximum/old; Calendar age, minimum/young; Chastel-Marlhac; Chastel-Marlhac, Le Montel, France; Commune; Date/Time of event; DEPTH, sediment/rock; Elevation of event; Etang_de_Majonenc; Etang de Majonenc , Riom-es-Montagnes, France; Event label; Laboratory code/label; Lac_Long; Lac Long / Lac Lant, Espalem, France; Lacustrine-palustrine sediment; Latitude of event; LBS; Le_Vern; Les_Brougues; Les Brougues, Saint-Etienne-de-Chomeil, France; Le Vern, Moledes, France; LL; LMC; Longitude of event; MAJ; Massif Central; MER; Merigot; Merigot, Saint-Etienne-de-Chomeil, France; MUR; Muratet; Muratet, Saint-Etienne-de-Chomeil, France; PD; peat; Peat drill; radiocarbon dating; Sagne_Gousseau; Sagne Gousseau, Allanche, France; Sample code/label; Sample comment; Sample thickness; SG; Sianne; Site; Sources de la Sianne, Anzat-le-Luguet, France; Tronque; Tronque, Trizac, France; TTT; δ13C, organic carbon
    Materialart: Dataset
    Format: text/tab-separated-values, 336 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 88
    Publikationsdatum: 2023-05-18
    Beschreibung: The dataset comprises X-ray fluorescent (XRF) core scanning, TOC, C/N, δ13Corg, and macro-charcoal counts of bulk sediment from the sediment core CFL-3. The purpose of this dataset is to reconstruct the sedimentation environment change after the large-scale deforestation. The lake sediment core CFL-3 was taken in Cueifong Lake, northeastern Taiwan in 2017, with a Russian Corer set. The XRF core scanning signals were normalized as described in Lin et al., 2023. The age model was established with 210Pb dating results, augmented by 137Cs dating results. The experiment and analyze detail were described Lin et al., 2023.
    Schlagwort(e): 13C; Anthropogenic disturbances; Anthropogenic impact; C/N; charcoal; Deforestation; freshwater lake; Lake sediment core; mountain lakes; Taiwan; TOC; XRF core scanner data; XRF-core scanning
    Materialart: Dataset
    Format: application/zip, 3 datasets
    Standort Signatur Erwartet Verfügbarkeit
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  • 89
    Publikationsdatum: 2023-05-18
    Beschreibung: CTD data collected in coastal regions are often dynamically changing which is a major impediment to derive any process related information from those data. Only longer time series and comparison with nearby coastal stations can help to detect events or trends in data. In this case the data were collected with the idea to what extent mobile platforms can assist in this process, i.e. how data that are collected from vehicles sent out from the buoy station to locations nearby can contribute to a more comprehensive picture of on-going processes. The calm weather conditions that lasted for several days during the time the data had been collected allowed for a detection of a warm current, possibly an eddy, passing the OBSEA station in a distance of a few kilometers. A series of CTD profiles had been recorded during a filed test campaign at EMSO-ERIC observatory OBSEA (https://emso.eu/observatories-node/obsea/). The maximum water depth was at 30 m. Date: February 16, 2023, Time: Between 11:30 and 13.30 CET, Instrument RBR XR-420 deployed from board a RIB boat at 5 different position with two repeated profiles each
    Schlagwort(e): Coastal; Conductivity; CTD, RBR, XR-420; CTD profiles; DATE/TIME; EMSO ERIC Physical Access, TRIPLE-VTESTS; Event label; Mediterranean; OBSEA_EMSO_TNA_1143; OBSEA_EMSO_TNA_1151; OBSEA_EMSO_TNA_1227; OBSEA_EMSO_TNA_1232; OBSEA_EMSO_TNA_1239; OBSEA_EMSO_TNA_1243; OBSEA_EMSO_TNA_1307; OBSEA_EMSO_TNA_1311; OBSEA_EMSO_TNA_1320; OBSEA_EMSO_TNA_1326; Pressure, water; Salinity; Sound velocity in water; Temperature, water; TRIPLE-VTESTS; XR420
    Materialart: Dataset
    Format: text/tab-separated-values, 14210 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 90
    Publikationsdatum: 2023-05-18
    Schlagwort(e): 13C; AGE; Anthropogenic disturbances; Anthropogenic impact; C/N; Carbon, organic, total; Carbon, organic, total/Nitrogen, total ratio; CFL-3; charcoal; Cueifong Lake; Deforestation; DEPTH, sediment/rock; freshwater lake; Lake sediment core; mountain lakes; RUSC; Russian corer; Taiwan; TOC; XRF core scanner data; XRF-core scanning; δ13C, organic carbon
    Materialart: Dataset
    Format: text/tab-separated-values, 30 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 91
    Publikationsdatum: 2023-05-18
    Schlagwort(e): 13C; AGE; Anthropogenic disturbances; Anthropogenic impact; C/N; CFL-3; charcoal; Counting; Cueifong Lake; Deforestation; DEPTH, sediment/rock; freshwater lake; Lake sediment core; Macrocharcoal; mountain lakes; RUSC; Russian corer; Taiwan; TOC; XRF core scanner data; XRF-core scanning
    Materialart: Dataset
    Format: text/tab-separated-values, 14 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 92
    Publikationsdatum: 2023-05-24
    Beschreibung: Hair samples were collected throughout the United States, with particular focus on major metropolitan areas of the western United States. Hair samples were collected in 2004 as well as between 2013-2015. Here hydrogen (d2H) and oxygen (d18O) isotope values along with strontium isotope ratios (87Sr/86Sr) and element abundances were measured. d2H and d18O values, 87Sr/86Sr, and elemental compositions of 560, 385 and 306 hair samples were analyzed following Tipple et al., 2018 (Scientific Reports, 8, 2224), respectively. The purpose of these data was to assess geospatial variations in isotope and elemental geochemistry of human hair. We found that the isotope and elemental geochemistry of human hair largely corresponded to the geochemistry of drinking and bathing water, which in turn varied by water source and management practice. These data provide a foundation to reconstruct human movements using the geochemistry of modern or ancient human hair.
    Schlagwort(e): anthropogenic tracers; provenance analysis; stable isotope analysis; strontium isotopes; trace element; water chemistry; water isotopes; water management
    Materialart: Dataset
    Format: application/zip, 3 datasets
    Standort Signatur Erwartet Verfügbarkeit
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  • 93
    Publikationsdatum: 2023-05-24
    Beschreibung: Amino acids were isolated from the muscle tissue of Corbicula fluminea and Potamocorbula amurensis; two co-occurring invasive clams within the San Francisco Bay-Delta system. Clam specimens were collected near Montezuma Slough (Contra Costa County, California) at the confluence of the Sacramento and San Joaquin Rivers twice during the hydrological extremes of 2010 water year (November, 2009 and May, 2010). Carbon and nitrogen isotope values of individual amino acids were measured. Clam specimens were collected at USGS Sites 2.1 and processed following Stewart et al. (2013; doi:10.3354/meps10503). Amino acids were hydrolyzed from clam muscle tissue, derivatized, and isolated following Vokhshoori et al. (2013; doi:10.3354/meps10746). The measurement of the carbon and nitrogen isotope values of individual amino acids were conducted following Vokhshoori et al., 2013 and Vokhshoori and McCarthy, 2013 (doi:10.1371/journal.pone.0098087), respectively. The purpose of this study was to monitor biogeochemistry during 2010 water year and assess dietary difference between two co-occurring invasive species. This study focused on two species, C. fluminea and P. amurensis, benthic sessile primary consumers that can inhabit the same environment. USGS Site 2.1 was specifically selected as it exhibited the environmental conditions where both clam species co-existed during 2010 water year. This design allowed for interspecies variation to be explored. Nitrogen isotopes of amino acids were used to isolate variations in nutrient baseline from dietary changes across the season between the two species. Carbon isotopes of amino acid were utilized to understand the diet of the two species at two points in the season.
    Schlagwort(e): amino acids; biogeochemistry; Bivalve; carbon isotope; diet; Estuary; invasive species; nitrogen isotope; stable isotope analysis
    Materialart: Dataset
    Format: application/zip, 2 datasets
    Standort Signatur Erwartet Verfügbarkeit
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  • 94
    Publikationsdatum: 2023-05-24
    Beschreibung: Amino acids were isolated from the muscle tissue of Potamocorbula amurensis, an invasive clam species, collected from two locations in the northern portion of the San Francisco Bay. Clam specimens were collected biannually in 1997, 2002, and from 2009-2017 at both locations. The carbon and nitrogen isotope values of individual amino acids were measured. Clam specimens were collected at USGS Sites 4.1 (Suisun Bay) and 8.1 (Carquinez Strait) in the San Francisco Bay and processed as described in Stewart et al. (2013; doi:10.3354/meps10503). Amino acids were hydrolyzed from P. amurensis, derivatized, and isolated following Vokhshoori et al. (2013; doi:10.3354/meps10746). Carbon and nitrogen isotope values of individual amino acids were measured following Vokhshoori et al., 2013 and Vokhshoori and McCarthy, 2013 (doi:10.1371/journal.pone.0098087), respectively. The purpose of this study was to assess long-term changes in the biogeochemistry of the San Francisco Bay estuary following the arrival of invasive P. amurensis. Sites were selected both due to species occurrence as well as significantly different salinity ranges. This design allowed for intraspecies and site-specific variations to be explored. Nitrogen isotopes of amino acids were used to isolate variations in nutrient baseline over the twenty-year period. Carbon isotopes of amino acid were utilized to understand long-term changes in dietary sources and/or changes in the baseline carbon isotope value of the estuary's food-web.
    Schlagwort(e): amino acids; biogeochemistry; Biological sample; BIOS; Bivalve; carbon isotope; compound-specific isotope analysis; ecology; invasive species; nitrogen isotope; San Francisco Bay, California; Site 4.1; Site 8.1; stable isotope analysis; USGS_4-1; USGS_8-1
    Materialart: Dataset
    Format: application/zip, 2 datasets
    Standort Signatur Erwartet Verfügbarkeit
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  • 95
    Publikationsdatum: 2023-05-24
    Schlagwort(e): anthropogenic tracers; Area/locality; Arizona_1156; Arizona_1161; Arizona_1197; Arizona_1199; Arizona_570; Arizona_577; Arizona_579; Arizona_585; Arizona_602; Arizona_611; Arizona_625; Arizona_630; Arizona_635; Arizona_640; Arizona_661; Arizona_677; Arizona_678; California_1280; California_1287; California_198; California_200; California_201; California_202; California_205; California_208; California_470; California_473; California_480; California_485; California_487; California_491; California_495; California_542; California_549; California_561; California_562; California_563; California_564; California_731; California_733; California_738; California_756; California_772; California_779; California_781; California_785; California_798; California_808; California_839; California_840; California_853; California_855; California_858; California_862; California_872; California_879; California_882; California_883; California_884; California_885; California_887; California_888; California_889; California_898; California_901; California_904; California_909; California_913; California_914; California_917; DATE/TIME; Event label; HHS; Human hair sample; LATITUDE; Location ID; LONGITUDE; One-time_collection_1349; One-time_collection_1350; One-time_collection_1352; One-time_collection_1353; One-time_collection_1354; One-time_collection_1355; One-time_collection_1356; One-time_collection_1357; One-time_collection_1358; One-time_collection_1359; One-time_collection_1360; One-time_collection_1361; One-time_collection_1363; One-time_collection_1364; One-time_collection_1365; One-time_collection_1366; One-time_collection_1367; One-time_collection_1368; One-time_collection_1369; One-time_collection_1370; One-time_collection_1371; One-time_collection_1372; One-time_collection_1373; One-time_collection_1374; One-time_collection_1375; One-time_collection_1376; One-time_collection_1377; One-time_collection_1378; One-time_collection_1379; One-time_collection_1380; One-time_collection_1381; One-time_collection_1382; One-time_collection_1383; One-time_collection_1384; One-time_collection_1386; One-time_collection_1388; One-time_collection_1389; One-time_collection_1390; One-time_collection_1392; One-time_collection_1393; One-time_collection_1395; One-time_collection_1396; One-time_collection_1397; One-time_collection_1398; One-time_collection_1400; One-time_collection_1401; One-time_collection_1402; One-time_collection_1403; One-time_collection_1404; One-time_collection_1405; One-time_collection_1406; One-time_collection_1407; One-time_collection_1408; One-time_collection_1409; One-time_collection_1410; One-time_collection_1411; One-time_collection_1412; One-time_collection_1413; One-time_collection_1415; One-time_collection_1416; One-time_collection_1417; One-time_collection_1418; One-time_collection_1419; One-time_collection_1420; One-time_collection_1421; One-time_collection_1422; provenance analysis; Salt_Lake_Valley_1000; Salt_Lake_Valley_1001; Salt_Lake_Valley_1002; Salt_Lake_Valley_1003; Salt_Lake_Valley_1004; Salt_Lake_Valley_1005; Salt_Lake_Valley_1006; Salt_Lake_Valley_1007; Salt_Lake_Valley_1008; Salt_Lake_Valley_1009; Salt_Lake_Valley_1010; Salt_Lake_Valley_1011; Salt_Lake_Valley_1012; Salt_Lake_Valley_1013; Salt_Lake_Valley_1014; Salt_Lake_Valley_1015; Salt_Lake_Valley_1016; Salt_Lake_Valley_1017; Salt_Lake_Valley_1018; Salt_Lake_Valley_1019; Salt_Lake_Valley_248; Salt_Lake_Valley_249; Salt_Lake_Valley_250; Salt_Lake_Valley_251; Salt_Lake_Valley_341; Salt_Lake_Valley_342; Salt_Lake_Valley_382; Salt_Lake_Valley_396; Salt_Lake_Valley_413; Salt_Lake_Valley_420; Salt_Lake_Valley_421; Salt_Lake_Valley_432; Salt_Lake_Valley_448; Salt_Lake_Valley_996; Salt_Lake_Valley_997; Salt_Lake_Valley_998; Salt_Lake_Valley_999; Sample ID; stable isotope analysis; strontium isotopes; TC/EA-IRMS; trace element; United States; water chemistry; water isotopes; water management; Year of observation; δ18O; δ18O, standard deviation; δ Deuterium; δ Deuterium, standard deviation
    Materialart: Dataset
    Format: text/tab-separated-values, 3134 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 96
    Publikationsdatum: 2023-05-24
    Schlagwort(e): Aluminium; anthropogenic tracers; Antimony; Area/locality; Arizona_1156; Arizona_1161; Arizona_1197; Arizona_1199; Arizona_570; Arizona_577; Arizona_579; Arizona_585; Arizona_602; Arizona_611; Arizona_625; Arizona_630; Arizona_635; Arizona_640; Arizona_661; Arizona_677; Arizona_678; Arsenic; Barium; Beryllium; Boron; Cadmium; Caesium; Calcium; California_198; California_200; California_201; California_202; California_205; California_208; California_470; California_473; California_480; California_485; California_487; California_491; California_495; California_542; California_549; California_561; California_562; California_563; California_564; California_731; California_733; California_738; California_756; California_772; California_779; California_781; California_785; California_872; California_879; California_882; California_883; California_884; California_885; California_887; California_888; California_889; California_898; California_901; California_904; California_909; California_913; California_914; California_917; Cerium; Chromium; Cobalt; Copper; DATE/TIME; Europium; Event label; HHS; Human hair sample; ICP-MS; Iron; Lanthanum; LATITUDE; Lead; Lithium; Location ID; LONGITUDE; Magnesium; Manganese; Molybdenum; Neodymium; Nickel; Potassium; provenance analysis; Salt_Lake_Valley_1000; Salt_Lake_Valley_1001; Salt_Lake_Valley_1002; Salt_Lake_Valley_1003; Salt_Lake_Valley_1004; Salt_Lake_Valley_1005; Salt_Lake_Valley_1006; Salt_Lake_Valley_1007; Salt_Lake_Valley_1008; Salt_Lake_Valley_1009; Salt_Lake_Valley_1010; Salt_Lake_Valley_1011; Salt_Lake_Valley_1012; Salt_Lake_Valley_1013; Salt_Lake_Valley_1014; Salt_Lake_Valley_1015; Salt_Lake_Valley_1016; Salt_Lake_Valley_1017; Salt_Lake_Valley_1018; Salt_Lake_Valley_1019; Salt_Lake_Valley_248; Salt_Lake_Valley_249; Salt_Lake_Valley_250; Salt_Lake_Valley_251; Salt_Lake_Valley_342; Salt_Lake_Valley_413; Salt_Lake_Valley_421; Salt_Lake_Valley_432; Salt_Lake_Valley_996; Salt_Lake_Valley_997; Salt_Lake_Valley_998; Salt_Lake_Valley_999; Sample ID; Selenium; Sodium; stable isotope analysis; Strontium; strontium isotopes; Thorium; trace element; United States; Uranium; Vanadium; water chemistry; water isotopes; water management; Year of observation; Yttrium; Zinc
    Materialart: Dataset
    Format: text/tab-separated-values, 5779 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 97
    Publikationsdatum: 2023-05-24
    Schlagwort(e): anthropogenic tracers; Area/locality; Arizona_1156; Arizona_1161; Arizona_1197; Arizona_1199; Arizona_570; Arizona_577; Arizona_579; Arizona_585; Arizona_602; Arizona_611; Arizona_625; Arizona_630; Arizona_635; Arizona_640; Arizona_661; Arizona_677; Arizona_678; California_198; California_200; California_201; California_202; California_205; California_208; California_470; California_473; California_480; California_485; California_487; California_491; California_495; California_542; California_549; California_561; California_562; California_563; California_564; California_731; California_733; California_738; California_756; California_772; California_779; California_781; California_785; California_872; California_879; California_882; California_883; California_884; California_885; California_887; California_888; California_889; California_898; California_901; California_904; California_909; California_913; California_914; California_917; DATE/TIME; Event label; HHS; Human hair sample; LATITUDE; Location ID; LONGITUDE; MC-ICP-MS; One-time_collection_1349; One-time_collection_1350; One-time_collection_1352; One-time_collection_1354; One-time_collection_1355; One-time_collection_1357; One-time_collection_1358; One-time_collection_1359; One-time_collection_1360; One-time_collection_1361; One-time_collection_1363; One-time_collection_1364; One-time_collection_1365; One-time_collection_1366; One-time_collection_1367; One-time_collection_1368; One-time_collection_1369; One-time_collection_1370; One-time_collection_1371; One-time_collection_1372; One-time_collection_1373; One-time_collection_1374; One-time_collection_1375; One-time_collection_1376; One-time_collection_1377; One-time_collection_1378; One-time_collection_1379; One-time_collection_1380; One-time_collection_1381; One-time_collection_1382; One-time_collection_1383; One-time_collection_1386; One-time_collection_1389; One-time_collection_1390; One-time_collection_1395; One-time_collection_1396; One-time_collection_1397; One-time_collection_1401; One-time_collection_1403; One-time_collection_1404; One-time_collection_1405; One-time_collection_1406; One-time_collection_1407; One-time_collection_1408; One-time_collection_1409; One-time_collection_1410; One-time_collection_1411; One-time_collection_1412; One-time_collection_1413; One-time_collection_1415; One-time_collection_1416; One-time_collection_1417; One-time_collection_1418; One-time_collection_1419; One-time_collection_1420; provenance analysis; Salt_Lake_Valley_1000; Salt_Lake_Valley_1001; Salt_Lake_Valley_1002; Salt_Lake_Valley_1003; Salt_Lake_Valley_1004; Salt_Lake_Valley_1005; Salt_Lake_Valley_1006; Salt_Lake_Valley_1007; Salt_Lake_Valley_1008; Salt_Lake_Valley_1009; Salt_Lake_Valley_1010; Salt_Lake_Valley_1011; Salt_Lake_Valley_1012; Salt_Lake_Valley_1013; Salt_Lake_Valley_1014; Salt_Lake_Valley_1015; Salt_Lake_Valley_1016; Salt_Lake_Valley_1017; Salt_Lake_Valley_1018; Salt_Lake_Valley_1019; Salt_Lake_Valley_248; Salt_Lake_Valley_249; Salt_Lake_Valley_250; Salt_Lake_Valley_251; Salt_Lake_Valley_342; Salt_Lake_Valley_413; Salt_Lake_Valley_421; Salt_Lake_Valley_432; Salt_Lake_Valley_996; Salt_Lake_Valley_997; Salt_Lake_Valley_998; Salt_Lake_Valley_999; Sample ID; stable isotope analysis; Strontium-87/Strontium-86 ratio; Strontium-87/Strontium-86 ratio, standard deviation; strontium isotopes; trace element; United States; water chemistry; water isotopes; water management; Year of observation
    Materialart: Dataset
    Format: text/tab-separated-values, 1655 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 98
    Publikationsdatum: 2023-05-24
    Beschreibung: Amino acids were isolated from the muscle tissue of Potamocorbula amurensis, an invasive clam species, collected from two locations in the northern portion of the San Francisco Bay. Clam specimens were collected biannually in 1997, 2002, and from 2009-2017 at both locations. The carbon isotope values of individual amino acids were measured. Clam specimens were collected at USGS Sites 4.1 (Suisun Bay) and 8.1 (Carquinez Strait) in the San Francisco Bay and processed as described in Stewart et al. (2013; doi:10.3354/meps10503). Amino acids were hydrolyzed from P. amurensis, derivatized, isolated and the carbon isotope values were measured following Vokhshoori et al. (2013; doi:10.3354/meps10746). The purpose of this study was to assess long-term changes in dietary sources and/or changes in the baseline carbon isotope value of the estuary's food-web following the invasion of P. amurensis.
    Schlagwort(e): Alanine, δ13C; Alanine, δ13C, standard deviation; amino acids; Aspartic acid, δ13C; Aspartic acid, δ13C, standard deviation; biogeochemistry; Biological sample; BIOS; Bivalve; carbon isotope; compound-specific isotope analysis; DATE/TIME; ecology; Glutamic acid, δ13C; Glutamic acid δ13C, standard deviation; Glycine, δ13C; Glycine, δ15N, standard deviation; invasive species; Isoleucine, δ13C; Isoleucine, δ13C, standard deviation; LATITUDE; Leucine, δ13C; Leucine, δ13C, standard deviation; LONGITUDE; Lysine, δ13C; Lysine, δ13C, standard deviation; nitrogen isotope; Phenylalanine, δ13C; Phenylalanine, δ13C, standard deviation; Proline, δ13C; Proline, δ13C, standard deviation; Sample ID; San Francisco Bay, California; see description in data abstract; Serine, δ13C; Serine, δ13C, standard deviation; Site; Site 4.1; Site 8.1; Species; stable isotope analysis; Threonine, δ13C; Threonine, δ13C, standard deviation; USGS_4-1; USGS_8-1; Valine, δ13C; Valine, δ13C, standard deviation; δ13C, bulk muscle tissue
    Materialart: Dataset
    Format: text/tab-separated-values, 1176 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 99
    Publikationsdatum: 2023-06-08
    Beschreibung: This study presents a new set of paired d18Osw and salinity data (n = 83) from a large region of the western Pacific (mainly the western south Pacific) collected during the 2014–2015 El Niño period. We determined regional salinity–d18Osw relationships for three ocean regions (40º–20ºN, 20ºN–30ºS, and 30º–66ºS) and found that all three regions exhibited highly linear relationships between d18Osw and salinity. The 40º–20ºN and 20ºN–30ºS regions had relatively low slopes (0.33 and 0.37 ‰ psu-1, respectively), while the 30º–66ºS region had a relatively high slope (0.54 ‰ psu-1). Each regional regression was statistically different from those of the GEOSECS (1973–1974 La Niña) data, indicating that inter-annual ENSO variability has an impact on salinity–d18Osw relationships over a wide area of the western Pacific.
    Schlagwort(e): DATE/TIME; DEPTH, water; Event label; GEOSECS; GEOTRACES; Global marine biogeochemical cycles of trace elements and their isotopes; GP19; Hakuho-Maru; IRMS; Isotope ratio mass spectrometer; KH-14-6; KH14-6_SSW001; KH14-6_SSW002; KH14-6_SSW003; KH14-6_SSW004; KH14-6_SSW005; KH14-6_SSW006; KH14-6_SSW007; KH14-6_SSW008; KH14-6_SSW009; KH14-6_SSW010; KH14-6_SSW011; KH14-6_SSW012; KH14-6_SSW013; KH14-6_SSW014; KH14-6_SSW015; KH14-6_SSW016; KH14-6_SSW017; KH14-6_SSW018; KH14-6_SSW019; KH14-6_SSW020; KH14-6_SSW021; KH14-6_SSW022; KH14-6_SSW023; KH14-6_SSW024; KH14-6_SSW025; KH14-6_SSW026; KH14-6_SSW027; KH14-6_SSW028; KH14-6_SSW029; KH14-6_SSW030; KH14-6_SSW031; KH14-6_SSW032; KH14-6_SSW033; KH14-6_SSW034; KH14-6_SSW036; KH14-6_SSW037; KH14-6_SSW038; KH14-6_SSW039; KH14-6_SSW040; KH14-6_SSW041; KH14-6_SSW042; KH14-6_SSW043; KH14-6_SSW044; KH14-6_SSW045; KH14-6_SSW046; KH14-6_SSW047; KH14-6_SSW048; KH14-6_SSW049; KH14-6_SSW050; KH14-6_SSW051; KH14-6_SSW052; KH14-6_SSW053; KH14-6_SSW054; KH14-6_SSW055; KH14-6_SSW056; KH14-6_SSW057; KH14-6_SSW058; KH14-6_SSW060; KH14-6_SSW061; KH14-6_SSW062; KH14-6_SSW064; KH14-6_SSW066; KH14-6_SSW067; KH14-6_SSW068; KH14-6_SSW069; KH14-6_SSW070; KH14-6_SSW071; KH14-6_SSW072; KH14-6_SSW073; KH14-6_SSW074; KH14-6_SSW075; KH14-6_SSW076; KH14-6_SSW077; KH14-6_SSW078; KH14-6_SSW079; KH14-6_SSW080; KH14-6_SSW082; KH14-6_SSW083; KH14-6_SSW084; KH14-6_SSW085; KH14-6_SSW086; KH14-6_SSW087; KH14-6_SSW088; LATITUDE; LONGITUDE; Method comment; oxygen isotopes; Salinity; Salinity, standard error; salinity–d18Osw relationship; seawater; Surface water sample; SWS; Temperature, water; Thermosalinograph; TSG; Western Pacific; δ18O, water; δ18O, water, standard error
    Materialart: Dataset
    Format: text/tab-separated-values, 498 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 100
    Publikationsdatum: 2023-06-27
    Beschreibung: Sortable silt data was obtained from core MD03-2679 located in the North Atlantic. The sediment was analysed with a laser diffractometer at GEOsciences Paris-Sud (GEOPS), in order to provide informations on past changes in intensity of the Iceland-Scotland Overflow Water (ISOW) over the Marine Isotopic Stages 7 and 9. The original sortable silt data (percent and mean) were used for comparison with the new method of correcting for ice-rafted debris (IRD) influence on sortable silt described in Stevenard et al. (submitted).
    Schlagwort(e): CALYPSO; Calypso Corer; DEPTH, sediment/rock; Gardar Drift; Grain size, Mastersizer 2000, Malvern Instrument Inc.; IMAGES XI - P.I.C.A.S.S.O.; Marion Dufresne (1995); MD032679; MD03-2679; MD132; Size fraction 0.063-0.010 mm, sortable silt; sortable silt; Sortable-silt mean; Zr/Rb
    Materialart: Dataset
    Format: text/tab-separated-values, 530 data points
    Standort Signatur Erwartet Verfügbarkeit
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