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  • 1
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    Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
    In:  EPIC3Berichte zur Polar- und Meeresforschung = Reports on polar and marine research, Bremerhaven, Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung, 786, 65 p., pp. 1-65, ISSN: 1866-3192
    Publikationsdatum: 2024-06-14
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: "Berichte zur Polar- und Meeresforschung" , notRev
    Format: application/pdf
    Standort Signatur Erwartet Verfügbarkeit
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  • 2
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    Naturalis Biodiversity Center
    In:  Blumea: Biodiversity, Evolution and Biogeography of Plants vol. 66 no. 1, pp. 82-92
    Publikationsdatum: 2024-06-14
    Beschreibung: The original set of botanical collections of the agronomist H.A. Homblé is conserved in the herbarium BR. Homblé was one of the first collectors (1911–1913) for the flora of Katanga, Democratic Republic of the Congo. Many Homblé specimens were described as taxonomic novelties; 107 tropical African plant species are named after him. Before his colonial career in Katanga, Homblé stayed about two years (1909–1911) in Guangxi, China. His incompletely labelled Chinese collections were erroneously considered as collected in Katanga. This supposed African origin has led to confusion with regard to the identification, and even resulted in the description of four species believed to be new for science. This paper presents and discusses Homblé’s collection made in Guangxi, and the assumed novelties in it. Drosera insolita is a synonym of the Asian Drosera lunata, widespread from India to Australia. Three other species are new synonyms. Caesalpinia homblei is a synonym of the pantropical Caesalpinia bonduc. Digitaria polybotryoides is a synonym of Digitaria abludens, a widespread species in tropical Asia. Grewia katangensis is the only species that proved to be synonymous with an endemic species, Grewia cuspidatoserrata, only known from S Yunnan, and here reported as a new record for Guangxi. Lysimachia candida and Impatiens chinensis should be deleted from the list of the Congo Flora. The importance of careful specimen labelling and label interpretation is discussed.
    Schlagwort(e): Plant Science ; Ecology ; Evolution ; Behavior and Systematics
    Repository-Name: National Museum of Natural History, Netherlands
    Materialart: info:eu-repo/semantics/article
    Format: application/pdf
    Standort Signatur Erwartet Verfügbarkeit
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  • 3
    Publikationsdatum: 2024-06-13
    Beschreibung: This dataset contains abiotic and biotic data from sediment samples from nine sites in the Weddell Sea (mostly South-Eastern). Data are provided for sediment pigments (chlorophyll a and phaeopigment content through fluorometry), total organic carbon (TOC), total nitrogen (TN), stable isotope values of carbon and nitrogen (δ13C, δ15N) and grain size (silt&clay 〈 32 µm, very fine sand 63–125 µm sand, fine sand 125–250 µm, medium sand 250–500 µm, coarse sand 500–1000 µm, larger coarse sand 〉 1000 µm). Before the TOC and carbon isotope analysis the sediment samples were acidified to eliminate inorganic carbon. A minimum of three replicate samples (cores) were collected using a MUC10 multicorer or giant box corer. Sediment cores were subsampled with a 60-ml syringe (inner diameter 2.7 cm) for stations 017, 026, 061, 072, and with a 10-ml syringe (inner diameter 1 cm) for stations 001, 037, 048, 104, 115. Subsamples were sliced in 1-cm steps down to 5 cm depth. Detailed methods are described in Säring et al. (submitted) except for stable isotopes: Flash combustion in a Flash 2000 (Thermo) elemental analyser to a Delta V advantage (Thermo) isotope ratio masspectrometer. δ values are reported relative to atmospheric N2 (δ15N) and Vienna PeeDee Belemnite (δ13C). Reference materials for stable isotope analysis: IAEA-N1, IAEA-N2, IAEA-N3, NBS 22, IAEA-CH-3 and IAEA-CH-6; calibration material: Acetanilide (Merck). The analytical precision for both stable isotope ratios was 〈±0.2‰. Cores with the label -e (Environment) were only used to collect the above data. Environmental and fauna data were collected from cores with the label -i (Incubation). This data table is part of a larger study analysing the role of environmental parameters for meio- and macrofaunal community composition (see Related to below).
    Schlagwort(e): Antarctica; ANT-XXXI/2 FROSN; box corer; Carbon, organic, total; Chlorophyll a; Chlorophyll a per unit sediment mass; Cruise/expedition; Date/Time of event; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Elevation of event; Event label; Flash combustion in a Flash 2000 (Thermo) elemental analyser to a Delta V advantage (Thermo) isotope ratio masspectrometer; Flash combustion in a Flash 2000 (Thermo) elemental analyzer; Fluorometry; Gear; Gear identification number; Giant box corer; GKG; Grain size, Mastersizer 3000, Malvern Instrument Inc.; Grain size data; Latitude of event; Longitude of event; MUC; MultiCorer; Nitrogen, total; organic matter; phaeopigments; Phaeopigments per unit sediment mass; pigments; Polarstern; Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas; PS96; PS96/001-7; PS96/001-8; PS96/017-3; PS96/026-10; PS96/026-11; PS96/026-7; PS96/026-8; PS96/037-8; PS96/037-9; PS96/048-7; PS96/048-8; PS96/061-5; PS96/061-6; PS96/072-10; PS96/072-8; PS96/072-9; PS96/104-2; PS96/104-3; PS96/115-2; Sample ID; sediment; Size fraction 〈 0.063 mm, mud, silt+clay; Size fraction 〉 1 mm, gravel; Size fraction 0.125-0.063 mm, 3.0-4.0 phi, very fine sand; Size fraction 0.250-0.125 mm, 2.0-3.0 phi, fine sand; Size fraction 0.500-0.250 mm, 1.0-2.0 phi, medium sand; Size fraction 1.000-0.500 mm, 0.0-1.0 phi, coarse sand; Southern Ocean; SPP1158; stable carbon isotope; Station label; total nitrogen; Total Organic Carbon; Weddell Sea; δ13C, total organic carbon; δ15N, bulk sediment
    Materialart: Dataset
    Format: text/tab-separated-values, 3611 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 4
    Publikationsdatum: 2024-06-13
    Beschreibung: Swath sonar bathymetry data used for that dataset was recorded during RV SONNE during cruise SO276 using Kongsberg EM 122 multibeam echosounder. The cruise took place between 22.06.2020 - 26.07.2020 in the Atlanic Ocean. Data were recorded throughout the whole time spend outside EEZs. The approximate average depth of the entire dataset is around 4000m. To enhance MBES data accuracy, sound velocity profile casts were conducted in the vicinity of the working area prior to the survey using CTD rosette. During transits, sound velocity profile from the WOA13 were aplied via Sound Speed Manager Software. After processing, these data were directly imported into the MBES Acquisition software Kongsberg SIS Seafloor Information System. Data were manually edited for false measurements using Qimera. Raster were calculated and stored in GeoTIFF format with a 100m resolution (negative values), WGS85 as vertical datum and UTM as a projection, both for EM122 & EM710. Data products include ungridded soundings and bathymetric grids (100 m resolution) of the entire cruise for each EM122 & EM710. The data processing and provision was accomplished within work package 2 of the EU Horizon 2020 project iAtlantic- Integrated Assessment of Atlantic Marine Ecosystem in Space and Time and the IceAge project.
    Schlagwort(e): Bathymetry; Binary Object; Binary Object (File Size); Binary Object (Media Type); Elevation, maximum; Elevation, minimum; File content; Horizontal datum; Horizontal datum, projection stored in file; iAtlantic; Integrated Assessment of Atlantic Marine Ecosystems in Space and Time; KEM122; KONGSBERG EM122; Latitude, northbound; Latitude, southbound; Longitude, eastbound; Longitude, westbound; MerMet 17-6; Multibeam; Raster cell size; SO276; SO276_0_Underway-2; Sonne_2; South Atlantic Ocean; UTM Easting, Universal Transverse Mercator; UTM Northing, Universal Transverse Mercator; UTM Zone, Universal Transverse Mercator
    Materialart: Dataset
    Format: text/tab-separated-values, 24 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 5
    Publikationsdatum: 2024-06-13
    Beschreibung: Raw multibeam bathymetry data were recorded on RV SONNE during SO276 using Kongsberg EM710 multibeam echosounder. The cruise took place between 22.06.2020 - 26.07.2020 in the Atlantic Ocean. Data were recorded throughout the whole time spend outside EEZs in areas shallower than 1500m with an approximate average depth of around 400m. To enhance MBES data accuracy, CTD casts were made in the working area prior to each MBES survey using CTD rosette to raytrace beams with the obtained sound velocity profiles (SVP). During transits, SVPs from the WOA13 were applied via Sound Speed Manager Software to the data directly during acquisition with SIS Seafloor Information System. Data are unprocessed and can therefore contain incorrect depth measurements (artifacts) without further processing. The data are archived at the Federal Maritime and Hydrographic Agency of Germany (Bundesamt für Seeschifffahrt und Hydrographie, BSH) and provided to PANGAEA database for data curation and publication. Ancillary sound velocity profiles (SVP) files from the cruise are archived at the BSH, thus SVP files are added to this dataset. Data acquisition and provision were accomplished within work package 2 of the EU Horizon 2020 project iAtlantic- Integrated Assessment of Atlantic Marine Ecosystem in Space and Time (https://www.iatlantic.eu/) IceAge project.
    Schlagwort(e): Bathymetry; Binary Object; Binary Object (File Size); Binary Object (Media Type); Comment; Data file recording distance; Data file recording duration; DATE/TIME; ELEVATION; EM710; File content; iAtlantic; IceAge; Icelandic marine Animals: Genetics and Ecology; Integrated Assessment of Atlantic Marine Ecosystems in Space and Time; Kongsberg datagram raw file name; LATITUDE; LONGITUDE; MerMet 17-6; Number of pings; Ship speed; SO276; SO276_0_Underway-4; Sonne_2; Start of data file, depth; Start of data file, heading; Start of data file recording, date/time; Start of data file recording, latitude; Start of data file recording, longitude; Stop of data file, depth; Stop of data file, heading; Stop of data file recording, date/time; Stop of data file recording, latitude; Stop of data file recording, longitude; Swath-mapping system Simrad EM710 (Kongsberg Maritime AS); Water Column Data
    Materialart: Dataset
    Format: text/tab-separated-values, 450 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 6
    Publikationsdatum: 2024-06-13
    Beschreibung: The dataset is about temporal variability of dissolved methane along the freshwater-sea continuum in northern Germany. Sensors were installed at fixed stations at in total three sites at different water depths. This dataset is from the station in Cuxhaven (53.8771 N, 8.7048 E) taken at about 2-7m depth (depending on the tide). The data was obtained between 11 April and 28 August 2021 in high frequency measurements (1 min) with a methane sensor from Kongsberg (4H Jena model CONTROS HydroC CH4). Methane concentrations were calculated according to manufacturer's instructions, based on temperature and salinity values from COSYNA Container Cuxhaven. For the quality control of the data a local range of 0.1 – 1000 nmol/L was set, a technical range for the pump power 2 – 8 Watt, a spike and gradient value of 1. Due to heavy biofouling the external pump of the sensor failed, resulting in data gaps. For a more detailed description see the article cited in References.
    Schlagwort(e): 2021_Cuxhaven_CH4; Alfred-Wegener-Institute; DATE/TIME; dissolved methane; Hereon; in situ data; MaGeCH; Methane, dissolved; Methane sensor, -4H- JENA engineering GmbH, CONTROS HydroC® CH₄; Modular Observation Solutions for Earth Systems; MOSES
    Materialart: Dataset
    Format: text/tab-separated-values, 95767 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 7
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    PANGAEA
    Publikationsdatum: 2024-06-13
    Schlagwort(e): 297; DEPTH, sediment/rock; ECO2; James Cook; JC077; JC077-MC13; MEGAC; MegaCorer; Methane; Sub-seabed CO2 Storage: Impact on Marine Ecosystems
    Materialart: Dataset
    Format: text/tab-separated-values, 4 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 8
    Publikationsdatum: 2024-06-13
    Beschreibung: To determine the effect of the rate of temperature increase (acute vs. gradual) and magnitude as well as the timing of nutrient addition on a natural marine phytoplankton community, a bottle incubation experiment has been conducted at the Institute for Chemistry and Biology of the Marine Environment (ICBM) in Wilhelmshaven, Germany. The community was collected at the Helgoland Roads long-term time series site in the German part of the North Sea (https://deims.org/1e96ef9b-0915-4661-849f-b3a72f5aa9b1) on the 6ᵗʰ of March 2022. The surface water containing the phytoplankton community was collected from the RV HEINCKE with a pipe covered with a 200 µm net attached to a diaphragm pump. In the first experimental run, the community was exposed to either gradual or acute temperature increase (from 6 to either 12 or 18°C) with 25 different N:P supply ratios added as a batch at the beginning of the bottle incubation. Simultaneously, the same community was gradually acclimated to their experimental temperatures under ambient nutrients and was used in a second experimental run in which it received the same 25 different N:P supply ratios after temperature acclimation. The light conditions were set to 175 µmol s-1 m-2 and a day-night cycle of 12h:12h which corresponds to the natural conditions at that time of the year. With this, it was possible to test the effect of a gradual vs. acute temperature increase and the timing of nutrient addition i.e., before or after the temperature change. This experimental set-up summed up to 400 units (8 temperature treatments x 5 nitrogen levels x 5 phosphorus levels x 2 replicates). Each experimental run was ended after 12 days. Fluorescence (395/680 Exc./Em.) was measured every second day using a SYNERGY H1 microplate reader (BioTek®) to determine phototrophic growth over time. At the end of each experiment, one replicate was filtered onto pre-combusted acid-washed glass microfiber filters (WHATMAN® GF/C) for intracellular carbon (POC), nitrogen (PON), and phosphorus (POP) content. The POP filters were pre-combusted and then analysed by molybdate reaction after digestion with a potassium peroxydisulfate solution (Wetzel and Likens 2003). The POC and PON filters were dried at 60°C before they were measured in an elemental analyser (Flash EA 1112, Thermo Scientific, Walthman, MA, USA).
    Schlagwort(e): Bottle number; Calculated, ratio of molar masses; Carbon, organic, particulate; Carbon, organic, particulate/Nitrogen, organic, particulate ratio; Carbon, organic, particulate/Phosphorus, organic, particulate ratio; Date/time start, experiment; Diaphragm pump; coupled with pipe [covered with a 200 µm net]; Elemental analyzer (EA), Thermo Scientific, FlashEA 1112; Event label; Experimental run; growth; Growth rate, linear; HE593; HE593_SOT22; Heincke; Measured according to Wetzel and Likens (2000); N:P ratio; Nitrogen; Nitrogen, organic, particulate; Nitrogen, organic, particulate/Phosphorus, organic, particulate ratio; Nitrogen, total, dissolved/Phosphorus, total, dissolved ratio; Nitrogen, total dissolved; North Sea; nutrient limitation; nutrients; Phosphorus; Phosphorus, organic, particulate; Phosphorus, total dissolved; Phytoplankton; Replicates; SOT22; stoichiometry; Temperature; Temperature, water; Temperature change; temperature stress; Treatment: nitrogen; Treatment: Nitrogen/Phosphorus ratio; Treatment: phosphorus; Treatment: temperature description; Type of study
    Materialart: Dataset
    Format: text/tab-separated-values, 6800 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 9
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    Unbekannt
    PANGAEA
    In:  Max-Planck-Institut für Meteorologie, Hamburg | Supplement to: Stemmler, Irene; Hense, Inga; Quack, Birgit; Maier-Reimer, Ernst (2014): Methyl iodide production in the open ocean. Biogeosciences, 11(16), 4459-4476, https://doi.org/10.5194/bg-11-4459-2014
    Publikationsdatum: 2024-06-13
    Beschreibung: Production pathways of the prominent volatile organic halogen compound methyl iodide (CH3I) are not fully understood. Based on observations, production of CH3I via photochemical degradation of organic material or via phytoplankton production has been proposed. Additional insights could not be gained from correlations between observed biological and environmental variables or from biogeochemical modeling to identify unambiguously the source of methyl iodide. In this study, we aim to address this question of source mechanisms with a three-dimensional global ocean general circulation model including biogeochemistry (MPIOM-HAMOCC (MPIOM - Max Planck Institute Ocean Model HAMOCC - HAMburg Ocean Carbon Cycle model)) by carrying out a series of sensitivity experiments. The simulated fields are compared with a newly available global data set. Simulated distribution patterns and emissions of CH3I differ largely for the two different production pathways. The evaluation of our model results with observations shows that, on the global scale, observed surface concentrations of CH3I can be best explained by the photochemical production pathway. Our results further emphasize that correlations between CH3I and abiotic or biotic factors do not necessarily provide meaningful insights concerning the source of origin. Overall, we find a net global annual CH3I air-sea flux that ranges between 70 and 260 Gg/yr. On the global scale, the ocean acts as a net source of methyl iodide for the atmosphere, though in some regions in boreal winter, fluxes are of the opposite direction (from the atmosphere to the ocean).
    Schlagwort(e): File content; File name; File size; SOPRAN; Surface Ocean Processes in the Anthropocene; Uniform resource locator/link to file
    Materialart: Dataset
    Format: text/tab-separated-values, 24 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 10
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    Unbekannt
    PANGAEA
    In:  Max-Planck-Institut für Meteorologie, Hamburg | Supplement to: Stemmler, Irene; Hense, Inga; Quack, Birgit (2015): Marine sources of bromoform in the global open ocean – global patterns and emissions. Biogeosciences, 12(6), 1967-1981, https://doi.org/10.5194/bg-12-1967-2015
    Publikationsdatum: 2024-06-13
    Beschreibung: Bromoform (CHBr3) is one important precursor of atmospheric reactive bromine species that are involved in ozone depletion in the troposphere and stratosphere. In the open ocean bromoform production is linked to phytoplankton that contains the enzyme bromoperoxidase. Coastal sources of bromoform are higher than open ocean sources. However, open ocean emissions are important because the transfer of tracers into higher altitude in the air, i.e. into the ozone layer, strongly depends on the location of emissions. For example, emissions in the tropics are more rapidly transported into the upper atmosphere than emissions from higher latitudes. Global spatio-temporal features of bromoform emissions are poorly constrained. Here, a global three-dimensional ocean biogeochemistry model (MPIOM-HAMOCC) is used to simulate bromoform cycling in the ocean and emissions into the atmosphere using recently published data of global atmospheric concentrations (Ziska et al., 2013) as upper boundary conditions. Our simulated surface concentrations of CHBr3 match the observations well. Simulated global annual emissions based on monthly mean model output are lower than previous estimates, including the estimate by Ziska et al. (2013), because the gas exchange reverses when less bromoform is produced in non-blooming seasons. This is the case for higher latitudes, i.e. the polar regions and northern North Atlantic. Further model experiments show that future model studies may need to distinguish different bromoform-producing phytoplankton species and reveal that the transport of CHBr3 from the coast considerably alters open ocean bromoform concentrations, in particular in the northern sub-polar and polar regions.
    Schlagwort(e): File content; File name; File size; SOPRAN; Surface Ocean Processes in the Anthropocene; Uniform resource locator/link to file
    Materialart: Dataset
    Format: text/tab-separated-values, 28 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 11
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    PANGAEA
    In:  Supplement to: Fomba, Khanneh Wadinga; Müller, Konrad; van Pinxteren, Dominik; Poulain, Laurent; van Pinxteren, Manuela; Herrmann, Hartmut (2014): Long-term chemical characterization of tropical and marine aerosols at the Cape Verde Atmospheric Observatory (CVAO) from 2007 to 2011. Atmospheric Chemistry and Physics, 14(17), 8883-8904, https://doi.org/10.5194/acp-14-8883-2014
    Publikationsdatum: 2024-06-13
    Beschreibung: The first long-term aerosol sampling and chemical characterization results from measurements at the Cape Verde Atmospheric Observatory (CVAO) on the island of São Vicente are presented and are discussed with respect to air mass origin and seasonal trends. In total 671 samples were collected using a high-volume PM10 sampler on quartz fiber filters from January 2007 to December 2011. The samples were analyzed for their aerosol chemical composition, including their ionic and organic constituents. Back trajectory analyses showed that the aerosol at CVAO was strongly influenced by emissions from Europe and Africa, with the latter often responsible for high mineral dust loading. Sea salt and mineral dust dominated the aerosol mass and made up in total about 80% of the aerosol mass. The 5-year PM10 mean was 47.1 ± 55.5 µg/m**2, while the mineral dust and sea salt means were 27.9 ± 48.7 and 11.1 ± 5.5 µg/m**2, respectively. Non-sea-salt (nss) sulfate made up 62% of the total sulfate and originated from both long-range transport from Africa or Europe and marine sources. Strong seasonal variation was observed for the aerosol components. While nitrate showed no clear seasonal variation with an annual mean of 1.1 ± 0.6 µg/m**3, the aerosol mass, OC (organic carbon) and EC (elemental carbon), showed strong winter maxima due to strong influence of African air mass inflow. Additionally during summer, elevated concentrations of OM were observed originating from marine emissions. A summer maximum was observed for non-sea-salt sulfate and was connected to periods when air mass inflow was predominantly of marine origin, indicating that marine biogenic emissions were a significant source. Ammonium showed a distinct maximum in spring and coincided with ocean surface water chlorophyll a concentrations. Good correlations were also observed between nss-sulfate and oxalate during the summer and winter seasons, indicating a likely photochemical in-cloud processing of the marine and anthropogenic precursors of these species. High temporal variability was observed in both chloride and bromide depletion, differing significantly within the seasons, air mass history and Saharan dust concentration. Chloride (bromide) depletion varied from 8.8 ± 8.5% (62 ± 42%) in Saharan-dust-dominated air mass to 30 ± 12% (87 ± 11%) in polluted Europe air masses. During summer, bromide depletion often reached 100% in marine as well as in polluted continental samples. In addition to the influence of the aerosol acidic components, photochemistry was one of the main drivers of halogenide depletion during the summer; while during dust events, displacement reaction with nitric acid was found to be the dominant mechanism. Positive matrix factorization (PMF) analysis identified three major aerosol sources: sea salt, aged sea salt and long-range transport. The ionic budget was dominated by the first two of these factors, while the long-range transport factor could only account for about 14% of the total observed ionic mass.
    Schlagwort(e): ALTITUDE; Ammonium; Bromide; Calcium; Calculated; Cape Verde; Cape Verde Atmospheric Observatory; Carbon, elemental; Carbon, organic; Carbon analyser; Chloride; Comment; CVAO; DATE/TIME; Date/time end; Ion chromatograph, Dionex Corporation, ICS-3000; Magnesium; Monitoring station; MONS; Nitrate; Number; Organic matter; Oxalate; Particulate matter, 〈 10 µm; Potassium; Sample volume; Sodium; SOPRAN; Sulfate; Surface Ocean Processes in the Anthropocene
    Materialart: Dataset
    Format: text/tab-separated-values, 12003 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 12
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    Unbekannt
    PANGAEA
    In:  Supplement to: Müller, Konrad; Lehmann, S; van Pinxteren, Dominik; Gnauk, T; Niedermeier, Nicole; Wiedensohler, Alfred; Herrmann, Hartmut (2010): Particle characterization at the Cape Verde atmospheric observatory during the 2007 RHaMBLe intensive. Atmospheric Chemistry and Physics, 10(6), 2709-2721, https://doi.org/10.5194/acp-10-2709-2010
    Publikationsdatum: 2024-06-13
    Beschreibung: The chemical characterization of filter high volume (HV) and Berner impactor (BI) samples PM during RHaMBLe (Reactive Halogens in the Marine Boundary Layer) 2007 shows that the Cape Verde aerosol particles are mainly composed of sea salt, mineral dust and associated water. Minor components are nss-salts, OC and EC. The influence from the African continent on the aerosol constitution was generally small but air masses which came from south-western Europe crossing the Canary Islands transported dust to the sampling site together with other loadings. The mean mass concentration was determined for PM10 to 17 µg/m**3 from impactor samples and to 24.2 µg/m**3 from HV filter samples. Non sea salt (nss) components of PM were found in the submicron fractions and nitrate in the coarse mode fraction. Bromide was found in all samples with much depleted concentrations in the range 1-8 ng/m**3 compared to fresh sea salt aerosol indicating intense atmospheric halogen chemistry. Loss of bromide by ozone reaction during long sampling time is supposed and resulted totally in 82±12% in coarse mode impactor samples and in filter samples in 88±6% bromide deficits. A chloride deficit was determined to 8% and 1% for the coarse mode particles (3.5-10 µm; 1.2-3.5 µm) and to 21% for filter samples. During 14 May with high mineral dust loads also the maximum of OC (1.71 µg/m**3) and EC (1.25 µg/m**3) was measured. The minimum of TC (0.25 µg/m**3) was detected during the period 25 to 27 May when pure marine air masses arrived. The concentrations of carbonaceous material decrease with increasing particle size from 60% for the ultra fine particles to 2.5% in coarse mode PM. Total iron (dust vs. non-dust: 0.53 vs. 0.06 µg/m**3), calcium (0.22 vs. 0.03 µg/m**3) and potassium (0.33 vs. 0.02 µg/m**3) were found as good indicators for dust periods because of their heavily increased concentration in the 1.2 to 3.5 µm fraction as compared to their concentration during the non-dust periods. For the organic constituents, oxalate (78-151 ng/m**3) and methanesulfonic acid (MSA, 25-100 ng/m**3) are the major compounds identified. A good correlation between nss-sulphate and MSA was found for the majority of days indicating active DMS chemistry and low anthropogenic influences.
    Schlagwort(e): ALTITUDE; Ammonium; Bromide; Calcium; Calculated; Cape Verde; Cape Verde Atmospheric Observatory; Capillary electrophoresis; Carbon, elemental; Carbon, organic; Carbon, total; Carbon analyser; Chloride; Copper; CVAO; DATE/TIME; Date/time end; Ion chromatograph, Dionex Corporation, ICS-3000; Iron; Magnesium; Malonate; Mass per volume; Methane sulfonic acid; Monitoring station; MONS; Nitrate; Number; Oxalate; Potassium; Size fraction; Sodium; SOPRAN; Succinate; Sulfate; Surface Ocean Processes in the Anthropocene; Total reflection X-ray fluorescence spectrometer (TXRF); Zinc
    Materialart: Dataset
    Format: text/tab-separated-values, 2769 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 13
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    PANGAEA
    In:  IFM-GEOMAR Leibniz-Institute of Marine Sciences, Kiel University
    Publikationsdatum: 2024-06-13
    Schlagwort(e): 1,1,1,2-Tetrafluoroethane; 1,1,2-Trichloro-1,2,2-trifluoroethane; 1,1-Dichloro-1-fluoroethane; 1,1-Difluoroethane; 1,2-Dibromotetrafluoroethane; 1,2-Dichloroethane; 1,2-Dichlorotetrafluoroethane; 1-Chlor-1,2,2,2-tetrafluorethan; 1-Chloro-1,1-difluoroethane; ALTITUDE; Benzene; Bromochlorodifluoromethane; Bromoform; Bromomethane; Cape Verde; Cape Verde Atmospheric Observatory; Carbonyl sulfide; Chlorodibromomethane; Chlorodifluoromethane; Chloroform; Chloromethane; CVAO; DATE/TIME; Dibromomethane; Dichlorodifluoromethane; Dichloromethane; Dimethyl sulfate; Ethyl nitrate; Isobutane; Isopentane; Isoprene; Isopropyl nitrate; Methyl acetate; Methyl Chloroform; Methyl iodide; Methyl nitrate; Monitoring station; MONS; n-Butane; n-Hexane; n-Pentane; n-Propyl nitrate; Propane; sec-Butyl nitrate; SOPRAN; Surface Ocean Processes in the Anthropocene; Tetrachlormethan; Tetrachloroethylene; Toluene; Trichlorfluormethan
    Materialart: Dataset
    Format: text/tab-separated-values, 1939 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 14
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    Unbekannt
    PANGAEA
    In:  Instituto del Mar del Peru
    Publikationsdatum: 2024-06-13
    Schlagwort(e): CTD/Rosette; CTD-002; CTD-004; CTD-005; CTD-007; CTD-008; CTD-009; CTD-010; CTD-011; CTD-012; CTD-014; CTD-015; CTD-016; CTD-018; CTD-020; CTD-021; CTD-023; CTD-024; CTD-025; CTD-026; CTD-027; CTD-028; CTD-030; CTD-031; CTD-032; CTD-033; CTD-034; CTD-035; CTD-036; CTD-037; CTD-038; CTD-040; CTD-041; CTD-043; CTD-044; CTD-045; CTD-046; CTD-047; CTD-048; CTD-049; CTD-050; CTD-051; CTD-053; CTD-057; CTD-058; CTD-059; CTD-061; CTD-062; CTD-064; CTD-065; CTD-066; CTD-067; CTD-068; CTD-069; CTD-RO; Date/Time of event; DEPTH, water; Event label; Latitude of event; Longitude of event; M91; M91_1713-1; M91_1714-1; M91_1715-1; M91_1716-1; M91_1717-1; M91_1718-1; M91_1719-1; M91_1720-1; M91_1721-1; M91_1722-1; M91_1723-1; M91_1724-1; M91_1725-1; M91_1726-1; M91_1727-1; M91_1728-1; M91_1729-1; M91_1730-1; M91_1731-1; M91_1732-1; M91_1733-1; M91_1733-13; M91_1734-1; M91_1735-1; M91_1736-1; M91_1736-3; M91_1737-1; M91_1737-3; M91_1738-1; M91_1739-1; M91_1740-1; M91_1741-1; M91_1743-1; M91_1744-1; M91_1745-1; M91_1746-1; M91_1747-1; M91_1748-1; M91_1749-1; M91_1750-1; M91_1751-1; M91_1752-1; M91_1753-1; M91_1754-1; M91_1755-2; M91_1756-1; M91_1757-1; M91_1759-1; M91_1760-1; M91_1761-1; M91_1762-2; M91_1763-1; M91_1764-1; Meteor (1986); Optional event label; pH; Sample code/label; SOPRAN; South Pacific Ocean; Surface Ocean Processes in the Anthropocene
    Materialart: Dataset
    Format: text/tab-separated-values, 1664 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 15
    Publikationsdatum: 2024-06-13
    Beschreibung: Measurements of tree heights and crown sizes are essential in long-term monitoring of spatially distributed forests to assess the health of forests over time. In Switzerland, in 1994 and 1997, more than 4'500 trees have been recorded in a 8x8 km plot within the Sanasilva Inventory, which comprises the Swiss Level I sites of the International Co-operative Programme on Assessment and Monitoring of Air Pollution Effects on Forests' (ICP Forests). Tree heights and crown sizes were measured for the dominant and co-dominant trees (n = 1,723), resulting in a data set from 171 plots in Switzerland, spreading over a broad range of climatic gradient and forest characteristics (species recorded = 20). Average tree height was 22.1 m, average DBH 34.6 cm and crown diameter 6.5 m. The data set presented here is open to use and shall foster research in allometric equation modelling.
    Schlagwort(e): Identification; LATITUDE; LONGITUDE; Plot; Species; Species, common name; Species code; Switzerland; Tree crown diameter; Tree height; Trees, diameter at breast height
    Materialart: Dataset
    Format: text/tab-separated-values, 7393 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 16
    facet.materialart.
    Unbekannt
    PANGAEA
    In:  Supplement to: Paul, Allanah Joy; Bach, Lennart Thomas; Schulz, Kai Georg; Boxhammer, Tim; Czerny, Jan; Achterberg, Eric Pieter; Hellemann, Dana; Trense, Yves; Nausch, Monika; Sswat, Michael; Riebesell, Ulf (2015): Effect of elevated CO2 on organic matter pools and fluxes in a summer Baltic Sea plankton community. Biogeosciences, 12(20), 6181-6203, https://doi.org/10.5194/bg-12-6181-2015
    Publikationsdatum: 2024-06-13
    Beschreibung: Ocean acidification is expected to influence plankton community structure and biogeochemical element cycles. To date, the response of plankton communities to elevated CO2 has been studied primarily during nutrient-stimulated blooms. In this CO2 manipulation study, we used large-volume (~ 55 m3) pelagic in situ mesocosms to enclose a natural summer, post-spring-bloom plankton assemblage in the Baltic Sea to investigate the response of organic matter pools to ocean acidification.
    Schlagwort(e): Ammonium; Aphanizophyll; Aragonite saturation state; BIOACID; Biogenic silica; Biological Impacts of Ocean Acidification; Calculated; Canthaxanthin; Carbon, inorganic, dissolved; Carbon, organic, dissolved; Carbon, total, particulate; Carbon/Nitrogen ratio; Carbon/Phosphorus ratio; Carbon/Silicon ratio; Chlorophyll a; Chlorophyll b; Chlorophyll c2; Chlorophytes, biomass; Cryptophytes, biomass; Cyanobacteria, biomass; DATE/TIME; Day of experiment; Diatoms, biomass; Dry mass; Euglenophytes, biomass; Fluorescence determination; Fucoxanthin; Fugacity of carbon dioxide in seawater; Hand-operated CTD (Sea&Sun Technology, CTD 60M); High Performance Liquid Chromatography (HPLC); KOSMOS_2012_Tvaerminne; MESO; Mesocosm experiment; Mesocosm label; Myoxoxanthophyll; Neoxanthin; Nitrate and Nitrite; Nitrogen, organic, dissolved; Nitrogen, organic, particulate; Nitrogen/Phosphorus ratio; pH; Phase; Phosphate; Phosphate, total, particulate; Phosphorus, inorganic, dissolved; Phosphorus, organic, dissolved; Prasinophytes, biomass; Prasinoxanthin; Salinity; Silicate; SOPRAN; Surface Ocean Processes in the Anthropocene; Temperature, water; Violaxanthin
    Materialart: Dataset
    Format: text/tab-separated-values, 11813 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 17
    facet.materialart.
    Unbekannt
    PANGAEA
    In:  Finnish Environment Institute | Supplement to: Spilling, Kristian; Paul, Allanah Joy; Virkkala, Niklas; Hastings, Tom; Lischka, Silke; Stuhr, Annegret; Bermúdez Monsalve, Rafael; Czerny, Jan; Boxhammer, Tim; Schulz, Kai Georg; Ludwig, Andrea; Riebesell, Ulf (2016): Ocean acidification decreases plankton respiration: evidence from a mesocosm experiment. Biogeosciences, 13(16), 4707-4719, https://doi.org/10.5194/bg-13-4707-2016
    Publikationsdatum: 2024-06-13
    Beschreibung: Anthropogenic carbon dioxide (CO2) emissions are reducing the pH in the world's oceans. The plankton community is a key component driving biogeochemical fluxes, and the effect of increased CO2 on plankton is critical for understanding the ramifications of ocean acidification on global carbon fluxes. We determined the plankton community composition and measured primary production, respiration rates and carbon export (defined here as carbon sinking out of a shallow, coastal area) during an ocean acidification experiment. Mesocosms (~ 55 m3) were set up in the Baltic Sea with a gradient of CO2 levels initially ranging from ambient (~ 240 µatm), used as control, to high CO2 (up to ~ 1330 µatm). The phytoplankton community was dominated by dinoflagellates, diatoms, cyanobacteria and chlorophytes, and the zooplankton community by protozoans, heterotrophic dinoflagellates and cladocerans. The plankton community composition was relatively homogenous between treatments. Community respiration rates were lower at high CO2 levels. The carbon-normalized respiration was approximately 40 % lower in the high CO2 environment compared with the controls during the latter phase of the experiment. We did not, however, detect any effect of increased CO2 on primary production. This could be due to measurement uncertainty, as the measured total particular carbon (TPC) and combined results presented in this special issue suggest that the reduced respiration rate translated into higher net carbon fixation. The percent carbon derived from microscopy counts (both phyto- and zooplankton), of the measured total particular carbon (TPC) decreased from ~ 26 % at t0 to ~ 8 % at t31, probably driven by a shift towards smaller plankton (〈 4 µm) not enumerated by microscopy. Our results suggest that reduced respiration lead to increased net carbon fixation at high CO2. However, the increased primary production did not translate into increased carbon export, and did consequently not work as a negative feedback mechanism for increasing atmospheric CO2 concentration.
    Schlagwort(e): BIOACID; Biological Impacts of Ocean Acidification; DATE/TIME; Day of experiment; KOSMOS_2012_Tvaerminne; MESO; Mesocosm experiment; Mesocosm label; Phase; Primary production, carbon assimilation (24 hr.), integrated; Respiration rate, oxygen
    Materialart: Dataset
    Format: text/tab-separated-values, 1218 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 18
    Publikationsdatum: 2024-06-13
    Schlagwort(e): Acartia sp.; Alkalinity, total; Animalia; Aragonite saturation state; Arthropoda; Baltic Sea; Bicarbonate ion; Calcite saturation state; Calculated; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Coast and continental shelf; Day of experiment; Development; Egg hatching success; Egg production rate per female; Eggs; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Growth/Morphology; Hand-operated CTD (Sea&Sun Technology, CTD 60M); Identification; KOSMOS_2012_Tvaerminne; Laboratory experiment; Larval development; MESO; Mesocosm experiment; Mesocosm or benthocosm; Nauplii; OA-ICC; Ocean Acidification International Coordination Centre; Oxygen Radical Absorbance Capacity in Trolox mass, per protein mass; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH; Phosphorus, inorganic, dissolved; Prosome length; Reproduction; Salinity; Silicate; Single species; Species; Spectrophotometric; Temperate; Temperature, water; Treatment; Type; Zooplankton
    Materialart: Dataset
    Format: text/tab-separated-values, 2117 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 19
    Publikationsdatum: 2024-06-13
    Beschreibung: This data set contains plant species traits: Flowering initiation, Flowering cessation, specific leaf area (SLA), leaf dry matter content (LDMC), leaf area, maximum canopy height, specific root length (SRL), mean rooting depth (MRD), root mass density (RMD) and root length density (RLD). The traits were measured during the summer of 2012 on the plants grown in monoculture within a grassland trait diversity experiment (the Jena Trait Based Experiment). The experiment consists of 20 plant species that were assigned to one of three species pools: 1. Species that vary along a gradient of spatial leaf and root trait similarity, 2. Species that vary along a gradient of phenological trait similarity and 3. Species that vary along a gradient of both spatial and phenological similarity (see Ebeling et al. 2014). The plots were 3 x 3 m in size and established within the Jena Experiment, Germany, in 2011. Plots were maintained by manual weeding in March, July and September. Traits were measured during the summer of 2012. Flowering initiation and cessation were measured respectively as the week in which flowering was first observed and flowering senesce had completed throughout the plot. Leaf area, leaf fresh mass were measured on approximately five fully expanded leaves from different individuals. These leaves were dried at 65 C for over 48 hours and massed to calculate the specific leaf area (SLA, area per dry mass), and the leaf dry matter content (LDMC, dry mass per fresh mass). Maximum canopy height was measured during peak biomass in May by taking the average of five measurements along a transect. Root traits were measured by taking soil cores, 4 cm in diameter and 40 cm deep and sectioned by depth: 0-5, 5-10, 10-20, 20-30 and 30-40 cm. Roots were washed and roots 〈 2 mm in diameter were stored in 70 % ethanol. Root length was determined by scanning stained roots with neutral red and scanning roots using WinRhizo software. Root traits were only measured in species pool 1 and 2. Roots were then dried at 65 C for over 48 hours and massed to determine the specific root length (SRL, root length per mass), mean rooting depth (MRD, the average depth weighed by root mass per depth), root mass density (RMD, the average root mass per cubic cm volume) and root length density (RLD, root mass per root length).
    Schlagwort(e): Block; Canopy height, maximum; Density; EXP; Experiment; Experiment week; Jena Experiment 2012; JenExp; JenExp_2012; Leaf area; Leaf area, specific, per mass dry weight; Leaf dry matter content, mass dry weight per mass wet weight; Length of roots, average; Plot; Root length, specific; Species; Species Pool; The Jena Experiment; Thuringia, Germany
    Materialart: Dataset
    Format: text/tab-separated-values, 335 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 20
    Publikationsdatum: 2024-06-13
    Beschreibung: This data set contains measurements of standing belowground plant biomass. Data presented here is from the Main Experiment plots of a large grassland biodiversity experiment (the Jena Experiment; see further details below). In the Main experiment, 82 grassland plots of 20 x 20 m were established from a pool of 60 species belonging to four functional groups (grasses, legumes, tall and small herbs). In May 2002, varying numbers of plant species from this species pool were sown into the plots to create a gradient of plant species richness (1, 2, 4, 8, 16 and 60 species) and functional richness (1, 2, 3, 4 functional groups). Plots were maintained in general by bi-annual weeding and mowing. Since 2010, plots were weeded three times per year. In 2003, standing root biomass was sampled in June. Five soil cores with a 4.8 cm diameter per plot were taken to 30 cm depth and pooled plot-wise. The cores were immediately stored cool until further handling. The bulk material of the pooled cores was weighed and cut with scissors to 〈 1 cm pieces. For root washing, a 50 g subsample was soaked in water and then repeatedly rinsed with tap water over a 0.5 mm sieve. Remaining soil particles were removed by hand. Roots were dried at 60 - 70 °C and weighed subsequently. In 2003, roots were seperated in coarse (diameter 〉 2 mm) and fine roots after root washing.
    Schlagwort(e): Date/time end; Date/time start; DEPTH, soil; Depth, soil, maximum; Depth, soil, minimum; EXP; Experiment; Experimental plot; Jena Experiment 2003; JenExp; JenExp_2003; Standing root biomass, coarse roots; Standing root biomass, fine roots; The Jena Experiment; Thuringia, Germany; Treatment: aboveground: pesticide; Treatment: below pesticide; Treatment: drought; Treatment: eartworm exclosure; Treatment: fertilizing; Treatment: molluscide; Treatment: mowing; Treatment: nematicide; Treatment: phytometers; Treatment: seed addition; Treatment: special; Treatment: weeding; Treatment: weeding history
    Materialart: Dataset
    Format: text/tab-separated-values, 1639 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 21
    Publikationsdatum: 2024-06-13
    Beschreibung: This data set contains measurements of standing belowground plant biomass. Data presented here is from the Main Experiment plots of a large grassland biodiversity experiment (the Jena Experiment; see further details below). In the Main experiment, 82 grassland plots of 20 x 20 m were established from a pool of 60 species belonging to four functional groups (grasses, legumes, tall and small herbs). In May 2002, varying numbers of plant species from this species pool were sown into the plots to create a gradient of plant species richness (1, 2, 4, 8, 16 and 60 species) and functional richness (1, 2, 3, 4 functional groups). Plots were maintained in general by bi-annual weeding and mowing. Since 2010, plots were weeded three times per year. In 2006, standing root biomass was sampled in June. Five soil cores with a 8.7 cm diameter per plot were taken to 30 cm depth and pooled plot-wise. The cores were immediately stored cool until further handling. The bulk material of the pooled cores was weighed and cut with scissors to 〈 1 cm pieces. For root washing, a 210 g subsample was soaked in water and then repeatedly rinsed with tap water over a 0.5 mm sieve. Remaining soil particles were removed by hand. Roots were dried at 60 - 70 °C and weighed subsequently. Roots were seperated in coarse (diameter 〉 2 mm) and fine roots after root washing.
    Schlagwort(e): Date/time end; Date/time start; DEPTH, soil; Depth, soil, maximum; Depth, soil, minimum; EXP; Experiment; Experimental plot; Jena Experiment 2006; JenExp; JenExp_2006; Standing root biomass, coarse roots; Standing root biomass, fine roots; The Jena Experiment; Thuringia, Germany; Treatment: aboveground: pesticide; Treatment: below pesticide; Treatment: drought; Treatment: eartworm exclosure; Treatment: fertilizing; Treatment: molluscide; Treatment: mowing; Treatment: nematicide; Treatment: phytometers; Treatment: seed addition; Treatment: special; Treatment: weeding; Treatment: weeding history
    Materialart: Dataset
    Format: text/tab-separated-values, 1640 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 22
    Publikationsdatum: 2024-06-13
    Beschreibung: This data set contains measurements of standing belowground plant biomass. Data presented here is from the Main Experiment plots of a large grassland biodiversity experiment (the Jena Experiment; see further details below). In the Main experiment, 82 grassland plots of 20 x 20 m were established from a pool of 60 species belonging to four functional groups (grasses, legumes, tall and small herbs). In May 2002, varying numbers of plant species from this species pool were sown into the plots to create a gradient of plant species richness (1, 2, 4, 8, 16 and 60 species) and functional richness (1, 2, 3, 4 functional groups). Plots were maintained in general by bi-annual weeding and mowing. Since 2010, plots were weeded three times per year. In 2008, standing root biomass was sampled in June. Three soil cores with a 4.8 cm diameter per plot were taken to 30 cm depth and pooled plot-wise. The cores were immediately stored cool until further handling. The bulk material of the pooled cores was weighed and cut with scissors to 〈 1 cm pieces. For root washing, a 210 g subsample was soaked in water and then repeatedly rinsed with tap water over a 0.5 mm sieve. Remaining soil particles were removed by hand. Roots were dried at 60 - 70 °C and weighed subsequently. In 2008, soil cores were separated in depth increments of 0-5, 5-10, 10-20 and 20-30 cm depth and the corresponding layers were pooled plot-wise. Roots were seperated in coarse (diameter 〉 2 mm) and fine roots before cutting the bulk material.
    Schlagwort(e): Date/time end; Date/time start; DEPTH, soil; Depth, soil, maximum; Depth, soil, minimum; EXP; Experiment; Experimental plot; Jena Experiment 2008; JenExp; JenExp_2008; Standing root biomass, coarse roots; Standing root biomass, fine roots; The Jena Experiment; Thuringia, Germany; Treatment: aboveground: pesticide; Treatment: below pesticide; Treatment: drought; Treatment: eartworm exclosure; Treatment: fertilizing; Treatment: molluscide; Treatment: mowing; Treatment: nematicide; Treatment: phytometers; Treatment: seed addition; Treatment: special; Treatment: weeding; Treatment: weeding history
    Materialart: Dataset
    Format: text/tab-separated-values, 6560 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 23
    Publikationsdatum: 2024-06-13
    Beschreibung: This data set contains measurements of standing belowground plant biomass. Data presented here is from the Main Experiment plots of a large grassland biodiversity experiment (the Jena Experiment; see further details below). In the Main experiment, 82 grassland plots of 20 x 20 m were established from a pool of 60 species belonging to four functional groups (grasses, legumes, tall and small herbs). In May 2002, varying numbers of plant species from this species pool were sown into the plots to create a gradient of plant species richness (1, 2, 4, 8, 16 and 60 species) and functional richness (1, 2, 3, 4 functional groups). Plots were maintained in general by bi-annual weeding and mowing. Since 2010, plots were weeded three times per year. Plot size was reduced to 5 x 6 m since 2010. In 2011, standing root biomass was sampled in June. Three (two in few cases because of stones) soil cores with a 3.5 cm diameter per plot were taken to 40 cm depth and pooled plot-wise. The cores were immediately stored cool until further handling. The bulk material of the pooled cores was weighed and cut with scissors to 〈 1 cm pieces. For root washing, the bulk sample was soaked in water and then repeatedly rinsed with tap water over a 0.5 mm sieve. Remaining soil particles were removed by hand. Roots were dried at 60 - 70 °C and weighed subsequently. In 2011, soil cores were separated in depth increments of 0-5, 5-10, 10-20, 20-30 and 30 - 40 cm depth and the corresponding layers were pooled plot-wise. Roots were not seperated in coarse (diameter 〉 2 mm) and fine roots and only total root biomass is shown in this dataset.
    Schlagwort(e): Date/time end; Date/time start; DEPTH, soil; Depth, soil, maximum; Depth, soil, minimum; EXP; Experiment; Experimental plot; Jena Experiment 2011; JenExp; JenExp_2011; Root, biomass belowground; The Jena Experiment; Thuringia, Germany; Treatment: aboveground: pesticide; Treatment: below pesticide; Treatment: drought; Treatment: eartworm exclosure; Treatment: fertilizing; Treatment: molluscide; Treatment: mowing; Treatment: nematicide; Treatment: phytometers; Treatment: seed addition; Treatment: special; Treatment: weeding; Treatment: weeding history
    Materialart: Dataset
    Format: text/tab-separated-values, 7790 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 24
    Publikationsdatum: 2024-06-13
    Beschreibung: This data set contains measurements of standing belowground plant biomass. Data presented here is from the Main Experiment plots of a large grassland biodiversity experiment (the Jena Experiment; see further details below). In the Main experiment, 82 grassland plots of 20 x 20 m were established from a pool of 60 species belonging to four functional groups (grasses, legumes, tall and small herbs). In May 2002, varying numbers of plant species from this species pool were sown into the plots to create a gradient of plant species richness (1, 2, 4, 8, 16 and 60 species) and functional richness (1, 2, 3, 4 functional groups). Plots were maintained in general by bi-annual weeding and mowing. Since 2010, plots were weeded three times per year. Plot size was reduced to 5 x 6 m since 2010. In 2014, standing root biomass was sampled in June. Three soil cores with a 4.0 cm diameter per plot were taken to 40 cm depth and pooled plot-wise. The cores were immediately stored cool until further handling. For root washing, the bulk sample was soaked in water and then repeatedly rinsed with tap water over a 0.2 mm sieve. Remaining soil particles were removed by hand. Roots were dried at 60 - 70 °C and weighed subsequently. In 2014, soil cores were separated in depth increments of 0-5, 5-10, 10-20, 20-30 and 30 - 40 cm depth and the corresponding layers were pooled plot-wise. Roots were not seperated in coarse (diameter 〉 2 mm) and fine roots and only total root biomass is shown in this dataset.
    Schlagwort(e): Date/time end; Date/time start; DEPTH, soil; Depth, soil, maximum; Depth, soil, minimum; EXP; Experiment; Experimental plot; Jena Experiment 2014; JenExp; JenExp_2014; Root, biomass standing; The Jena Experiment; Thuringia, Germany; Treatment: aboveground: pesticide; Treatment: below pesticide; Treatment: drought; Treatment: eartworm exclosure; Treatment: fertilizing; Treatment: molluscide; Treatment: mowing; Treatment: nematicide; Treatment: phytometers; Treatment: seed addition; Treatment: special; Treatment: weeding; Treatment: weeding history
    Materialart: Dataset
    Format: text/tab-separated-values, 7790 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 25
    facet.materialart.
    Unbekannt
    PANGAEA
    Publikationsdatum: 2024-06-13
    Schlagwort(e): Carbon fixation rate; Carbon fixation rate, standard deviation; Climate - Biogeochemistry Interactions in the Tropical Ocean; CTD/Rosette; CTD013; CTD028; CTD029; CTD041; CTD059; CTD076; CTD081; CTD082; CTD083; CTD095; CTD101; CTD105; CTD107; CTD110; CTD113; CTD122; CTD123; CTD137; CTD139; CTD143; CTD159; CTD-RO; DATE/TIME; DEPTH, water; Event label; LATITUDE; LONGITUDE; M93; M93_303-2; M93_318-2; M93_318-4; M93_329-1; M93_347-4; M93_367-1; M93_376-2; M93_378-2; M93_380-3; M93_391-5; M93_399-5; M93_406-1; M93_408-1; M93_411-7; M93_413-1; M93_422-1; M93_423-1; M93_441-3; M93_441-5; M93_456-1; M93_471-1; Meteor (1986); Nitrogen fixation rate; Nitrogen fixation rate, standard deviation; Sample code/label; SFB754; South Pacific Ocean
    Materialart: Dataset
    Format: text/tab-separated-values, 360 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 26
    Publikationsdatum: 2024-06-13
    Schlagwort(e): AGE; Age, relative, number of years; Changbai Mountains region, Jilin Province, NE China; Comment; COMPCORE; Composite Core; DEPTH, sediment/rock; GeoForschungszentrum Potsdam; GFZ; Number of varves; Sample code/label; Sample code/label 2; Section position; SHL; Sihailongwan Maar Lake; Varve age; Varve quality index; Varves per centimeter; Varve thickness; Varve type
    Materialart: Dataset
    Format: text/tab-separated-values, 35666 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 27
    Publikationsdatum: 2024-06-13
    Beschreibung: This data set contains measurements of soil pH values. Data presented here is from the Main Experiment plots of a large grassland biodiversity experiment (the Jena Experiment; see further details below). In the main experiment, 82 grassland plots of 20 x 20 m were established from a pool of 60 species belonging to four functional groups (grasses, legumes, tall and small herbs). In May 2002, varying numbers of plant species from this species pool were sown into the plots to create a gradient of plant species richness (1, 2, 4, 8, 16 and 60 species) and functional richness (1, 2, 3, 4 functional groups). Plots were maintained in general by bi-annual weeding and mowing. Since 2010, plot size was reduced to 5 x 6 m and plots were weeded three times per year. In 2002, soil pH values were determined in both, water and calcium chloride. Five soil samples with a diameter of 1 cm per plot were taken to 30 cm depth and separated in increments of 0-15 and 15-30 cm. Soil was diluted in H2O and CaCl2 with a ratio of 1:2.5 of soil to solution and pH value was measured with an electrode (Knick pH Meter 761 Calimatic).
    Schlagwort(e): Date/time end; Date/time start; DEPTH, soil; Depth, soil, maximum; Depth, soil, minimum; EXP; Experiment; Experimental plot; Jena Experiment 2002; JenExp; JenExp_2002; pH calcium chloride; pH meter KNICK Model 761; pH water in soil; The Jena Experiment; Thuringia, Germany; Treatment: aboveground: pesticide; Treatment: below pesticide; Treatment: drought; Treatment: eartworm exclosure; Treatment: fertilizing; Treatment: molluscide; Treatment: mowing; Treatment: nematicide; Treatment: phytometers; Treatment: seed addition; Treatment: special; Treatment: weeding; Treatment: weeding history
    Materialart: Dataset
    Format: text/tab-separated-values, 3240 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 28
    Publikationsdatum: 2024-06-13
    Beschreibung: This data set contains measurements of soil pH values. Data presented here is from the Main Experiment plots of a large grassland biodiversity experiment (the Jena Experiment; see further details below). In the main experiment, 82 grassland plots of 20 x 20 m were established from a pool of 60 species belonging to four functional groups (grasses, legumes, tall and small herbs). In May 2002, varying numbers of plant species from this species pool were sown into the plots to create a gradient of plant species richness (1, 2, 4, 8, 16 and 60 species) and functional richness (1, 2, 3, 4 functional groups). Plots were maintained in general by bi-annual weeding and mowing. Since 2010, plot size was reduced to 5 x 6 m and plots were weeded three times per year. In 2010, soil pH values were determined in water. Five soil samples per plot were taken to 15 cm depth and homogenized before the soil was sieved through 2 mm to remove large debris. Subsamples of soil were then diluted in demiwater and pH value was measured with a glass electrode.
    Schlagwort(e): Date/time end; Date/time start; DEPTH, soil; Depth, soil, maximum; Depth, soil, minimum; EXP; Experiment; Experimental plot; Jena Experiment 2010; JenExp; JenExp_2010; pH meter KNICK Model 761; pH water in soil; The Jena Experiment; Thuringia, Germany; Treatment: aboveground: pesticide; Treatment: below pesticide; Treatment: drought; Treatment: eartworm exclosure; Treatment: fertilizing; Treatment: molluscide; Treatment: mowing; Treatment: nematicide; Treatment: phytometers; Treatment: seed addition; Treatment: special; Treatment: weeding; Treatment: weeding history
    Materialart: Dataset
    Format: text/tab-separated-values, 1539 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 29
    facet.materialart.
    Unbekannt
    PANGAEA
    In:  Alfred Wegener Institute - Research Unit Potsdam
    Publikationsdatum: 2024-06-13
    Schlagwort(e): Age, dated; Age, dated, error to older; Age, dated, error to younger; AWI_12Kyt-0807-1; AWI_12P-1607-1; AWI_12P-1707-1; AWI_12P-1907-1; AWI_12P-1907-2; AWI_12P-2107-1; AWI_12P-2107-2; AWI_PerDyn; AWI_S-20; AWI_S-36; AWI Arctic Land Expedition; Carbon, inorganic, total; Carbon, organic, total; Carbon, organic, total/Nitrogen, total ratio; Carbon, total; Comment; Comment 2 (continued); DATE/TIME; DEPTH, sediment/rock; Event label; Grain size, mean; Ice content, gravimetric; Kytalyk-Pokhodsk_2012, Kolyma2012; Laboratory code/label; LAND; Latitude of event; Longitude of event; Nitrogen, total; Permafrost Research (Periglacial Dynamics) @ AWI; POK1_C; POK1_W; POK3_C; POK3_W; POK4_C_Kolyma_flood_plain; POK4_W; RU-Land_2012_Kytalyk_Kolyma; Sample code/label; Sampling/measurement on land; Siberia, Russia; Size fraction 〈 0.002 mm, clay; Size fraction 〈 0.010 mm; Size fraction 〈 0.020 mm; Size fraction 〈 0.063 mm, mud, silt+clay; Size fraction 〈 0.100 mm; Size fraction 〈 0.200 mm; Size fraction 〈 0.630 mm; Size fraction 〈 2.0 mm; Susceptibility, specific; δ13C, organic carbon
    Materialart: Dataset
    Format: text/tab-separated-values, 1333 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 30
    Publikationsdatum: 2024-06-13
    Schlagwort(e): AGE; Barents Sea; Cassidulina teretis; Counting 100-500 µm fraction; DEPTH, sediment/rock; Eponides weddellensis; Foraminifera, benthic atlantic species; GC; Gravity corer; Melonis barleeanus; Professor Shtokman; PSh-5159N; PSh64; Section; Section position
    Materialart: Dataset
    Format: text/tab-separated-values, 924 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 31
    Publikationsdatum: 2024-06-13
    Schlagwort(e): Age; Astrononion gallowayi; Cassidulina neoteretis; Cassidulina reniforme; Cibicidoides lobatulus; DEPTH, sediment/rock; Elphidium spp.; Foraminifera, benthic; Foraminifera, benthic atlantic species; GEO8144/3144; Helmer Hanssen; HH15-1252PC; Melonis barleeanus; Nonionella spp.; PC; Piston corer; Stainforthia spp.; Vestnesa Ridge
    Materialart: Dataset
    Format: text/tab-separated-values, 1935 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 32
    Publikationsdatum: 2024-06-13
    Schlagwort(e): Changbai Mountains region, Jilin Province, NE China; COMPCORE; Composite Core; Difference; Error, relative; GeoForschungszentrum Potsdam; GFZ; Sample code/label; SHL; Sihailongwan Maar Lake; Stratigraphy; Varve age; Varve quality index; Varve type
    Materialart: Dataset
    Format: text/tab-separated-values, 57 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 33
    Publikationsdatum: 2024-06-13
    Schlagwort(e): AWI
    Materialart: Dataset
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, 204.7 kBytes
    Standort Signatur Erwartet Verfügbarkeit
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  • 34
    facet.materialart.
    Unbekannt
    PANGAEA
    In:  Supplement to: Fuhlbruegge, Steffen; Krüger, Kirstin; Quack, Birgit; Atlas, Elliot L; Hepach, Helmke; Ziska, Franziska (2013): Impact of the marine atmospheric boundary layer conditions on VSLS abundances in the eastern tropical and subtropical North Atlantic Ocean. Atmospheric Chemistry and Physics, 13(13), 6345-6357, https://doi.org/10.5194/acp-13-6345-2013
    Publikationsdatum: 2024-06-13
    Beschreibung: During the DRIVE (Diurnal and Regional Variability of Halogen Emissions) ship campaign we investigated the variability of the halogenated very short-lived substances (VSLS) bromoform (CHBr3), dibromomethane (CH2Br2) and methyl iodide (CH3I) in the marine atmospheric boundary layer in the eastern tropical and subtropical North Atlantic Ocean during May/June 2010. The highest VSLS mixing ratios were found near the Mauritanian coast and close to Lisbon (Portugal). With backward trajectories we identified predominantly air masses from the open North Atlantic with some coastal influence in the Mauritanian upwelling area, due to the prevailing NW winds. The maximum VSLS mixing ratios above the Mauritanian upwelling were 8.92 ppt for bromoform, 3.14 ppt for dibromomethane and 3.29 ppt for methyl iodide, with an observed maximum range of the daily mean up to 50% for bromoform, 26% for dibromomethane and 56% for methyl iodide. The influence of various meteorological parameters - such as wind, surface air pressure, surface air and surface water temperature, humidity and marine atmospheric boundary layer (MABL) height - on VSLS concentrations and fluxes was investigated. The strongest relationship was found between the MABL height and bromoform, dibromomethane and methyl iodide abundances. Lowest MABL heights above the Mauritanian upwelling area coincide with highest VSLS mixing ratios and vice versa above the open ocean. Significant high anti-correlations confirm this relationship for the whole cruise. We conclude that especially above oceanic upwelling systems, in addition to sea-air fluxes, MABL height variations can influence atmospheric VSLS mixing ratios, occasionally leading to elevated atmospheric abundances. This may add to the postulated missing VSLS sources in the Mauritanian upwelling region (Quack et al., 2007).
    Schlagwort(e): 1,1,1,2-Tetrafluoroethane; 1,1,2-Trichloro-1,2,2-trifluoroethane; 1,1-Dichloro-1-fluoroethane; 1,1-Difluoroethane; 1,2-Dibromotetrafluoroethane; 1,2-Dichloroethane; 1,2-Dichlorotetrafluoroethane; 1-Chlor-1,2,2,2-tetrafluorethan; 1-Chloro-1,1-difluoroethane; 23-10; ALTITUDE; Benzene; Bromochlorodifluoromethane; Bromoform; Bromomethane; Carbonyl sulfide; Chlorodibromomethane; Chlorodifluoromethane; Chloroform; Chloromethane; CT; DATE/TIME; Dibromomethane; Dichlorodifluoromethane; Dichloromethane; Dimethyl sulfate; Eastern Tropical North Atlantic; Ethyl nitrate; Event label; Isobutane; Isopentane; Isoprene; Isopropyl nitrate; LATITUDE; LONGITUDE; Methyl acetate; Methyl Chloroform; Methyl iodide; Methyl nitrate; n-Butane; n-Hexane; n-Pentane; n-Propyl nitrate; POS399/2; POS399/2-track; POS399/3; POS399/3-track; Poseidon; Propane; sec-Butyl nitrate; SOPRAN; Surface Ocean Processes in the Anthropocene; Tetrachlormethan; Tetrachloroethylene; Toluene; Trichlorfluormethan; Underway cruise track measurements
    Materialart: Dataset
    Format: text/tab-separated-values, 7351 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 35
    facet.materialart.
    Unbekannt
    PANGAEA
    In:  Leibniz-Institut für Troposphärenforschung e.V., Leipzig
    Publikationsdatum: 2024-06-13
    Schlagwort(e): ALTITUDE; Ammonium; Arsenic; Barium; Bromide; Calcium; Calculated; Cape Verde; Cape Verde Atmospheric Observatory; Carbon, elemental; Carbon, organic; Carbon, total; Carbon analyser; Cerium; Chloride; Chromium; Copper; CVAO; DATE/TIME; Date/time end; Ion chromatograph, Dionex Corporation, ICS-3000; Iron; Lanthanum; Lead; Magnesium; Manganese; Mass per volume; Mettler-Toledo UMT2 balance; Monitoring station; MONS; Nickel; Nitrate; Number; Oxalate; Potassium; Rubidium; Scanning Mobility Particle Sizer (SMPS); Selenium; Size fraction; Sodium; SOPRAN; Strontium; Sulfate; Surface Ocean Processes in the Anthropocene; Titanium; Total reflection X-ray fluorescence spectrometer (TXRF); Vanadium; Zinc
    Materialart: Dataset
    Format: text/tab-separated-values, 6675 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 36
    facet.materialart.
    Unbekannt
    PANGAEA
    In:  Leibniz-Institut für Troposphärenforschung e.V., Leipzig
    Publikationsdatum: 2024-06-13
    Schlagwort(e): ALTITUDE; Ammonium; Arsenic; Barium; Bromide; Calcium; Calculated; Cape Verde; Cape Verde Atmospheric Observatory; Carbon, elemental; Carbon, organic; Carbon, total; Carbon analyser; Cerium; Chloride; Chromium; Copper; CVAO; DATE/TIME; Date/time end; Ion chromatograph, Dionex Corporation, ICS-3000; Iron; Lanthanum; Lead; Magnesium; Manganese; Mass per volume; Mettler-Toledo UMT2 balance; Monitoring station; MONS; Nickel; Nitrate; Number; Oxalate; Potassium; Rubidium; Scanning Mobility Particle Sizer (SMPS); Selenium; Size fraction; Sodium; SOPRAN; Strontium; Sulfate; Surface Ocean Processes in the Anthropocene; Titanium; Total reflection X-ray fluorescence spectrometer (TXRF); Vanadium; Zinc
    Materialart: Dataset
    Format: text/tab-separated-values, 6920 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 37
    facet.materialart.
    Unbekannt
    PANGAEA
    In:  Leibniz-Institut für Troposphärenforschung e.V., Leipzig
    Publikationsdatum: 2024-06-13
    Schlagwort(e): ALTITUDE; Ammonium; Arsenic; Barium; Bromide; Calcium; Calculated; Cape Verde; Cape Verde Atmospheric Observatory; Carbon, elemental; Carbon, organic; Carbon, total; Carbon analyser; Cerium; Chloride; Chromium; Copper; CVAO; DATE/TIME; Date/time end; Ion chromatograph, Dionex Corporation, ICS-3000; Iron; Lanthanum; Lead; Magnesium; Manganese; Mass per volume; Mettler-Toledo UMT2 balance; Monitoring station; MONS; Nickel; Nitrate; Number; Oxalate; Potassium; Rubidium; Scanning Mobility Particle Sizer (SMPS); Selenium; Size fraction; Sodium; SOPRAN; Strontium; Sulfate; Surface Ocean Processes in the Anthropocene; Titanium; Total reflection X-ray fluorescence spectrometer (TXRF); Vanadium; Zinc
    Materialart: Dataset
    Format: text/tab-separated-values, 7973 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 38
    facet.materialart.
    Unbekannt
    PANGAEA
    In:  Leibniz-Institut für Troposphärenforschung e.V., Leipzig
    Publikationsdatum: 2024-06-13
    Schlagwort(e): ALTITUDE; Ammonium; Arsenic; Barium; Bromide; Calcium; Calculated; Cape Verde; Cape Verde Atmospheric Observatory; Carbon, elemental; Carbon, organic; Carbon, total; Carbon analyser; Cerium; Chloride; Chromium; Copper; CVAO; DATE/TIME; Date/time end; Ion chromatograph, Dionex Corporation, ICS-3000; Iron; Lanthanum; Lead; Magnesium; Manganese; Mass per volume; Mettler-Toledo UMT2 balance; Monitoring station; MONS; Nickel; Nitrate; Number; Oxalate; Potassium; Rubidium; Scanning Mobility Particle Sizer (SMPS); Selenium; Size fraction; Sodium; SOPRAN; Strontium; Sulfate; Surface Ocean Processes in the Anthropocene; Titanium; Total reflection X-ray fluorescence spectrometer (TXRF); Vanadium; Zinc
    Materialart: Dataset
    Format: text/tab-separated-values, 7220 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 39
    Publikationsdatum: 2024-06-13
    Beschreibung: This data set contains measurements of carbon and nitrogen concentrations in aboveground plant biomass of the subplots of the drought experiment. Data presented here is from the Main Experiment plots of a large grassland biodiversity experiment (the Jena Experiment; see further details below). In the main experiment, 82 grassland plots of 20 x 20 m were established from a pool of 60 species belonging to four functional groups (grasses, legumes, tall and small herbs). In May 2002, varying numbers of plant species from this species pool were sown into the plots to create a gradient of plant species richness (1, 2, 4, 8, 16 and 60 species) and functional richness (1, 2, 3, 4 functional groups). Plots were maintained in general by bi-annual weeding and mowing. Since 2010, plot size was reduced to 5 x 6 m and plots were weeded three times per year. In 2006, a gradient in management intensity was established with five subplots on 80 plots of the main experiment. Management varied in mowing regime and the amount of NPK fertilizer application (more details please see the treatment description file). In 2008 and 2009, drought was induced using transparent rain shelters during six weeks in summer previous to the last annual cut. Control subplots remained unsheltered and received ambient precipitation. One sheltered and one unsheltered subplot of 1.6 m x 2 m size was established for each management treatment in each of the 80 plots. In 2009 an additional roof control was established in all plots, e.g. a sheltered subplot where collected rain water was added. In 2008, C and N concentrations of above ground biomass samples were measured on all four management subplots as well as the core area. Drought was induced from 2008-07-25 to 2008-09-03. Aboveground plant biomass was harvested before mowing in August. Two samples per management and core area subplot were taken, one from the roofed area and one from the control area without roof. Plants were harvested in rectangles of 20 x 50 cm size. Samples were sorted into target species (pool), weeds and dead material and dried at 70 °C for 48 h. C and N concentrations were measured only from the sample with target species. It was homogenized and grounded to powder and then analyzed with an elemental analyzer (Vario El, Elementar Analysesysteme GmbH, Hanau).
    Schlagwort(e): Carbon; Date/time end; Date/time start; EXP; Experiment; Experimental plot; HEIGHT above ground; Height aboveground, maximum; Height aboveground, minimum; Jena Experiment 2008; JenExp; JenExp_2008; Nitrogen, total; The Jena Experiment; Thuringia, Germany; Treatment: aboveground: pesticide; Treatment: below pesticide; Treatment: drought; Treatment: eartworm exclosure; Treatment: fertilizing; Treatment: molluscide; Treatment: mowing; Treatment: nematicide; Treatment: phytometers; Treatment: seed addition; Treatment: special; Treatment: weeding; Treatment: weeding history
    Materialart: Dataset
    Format: text/tab-separated-values, 16000 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 40
    Publikationsdatum: 2024-06-13
    Beschreibung: This data set contains measurements of carbon and nitrogen concentrations in aboveground plant biomass. Data presented here is from the Main Experiment plots of a large grassland biodiversity experiment (the Jena Experiment; see further details below). In the main experiment, 82 grassland plots of 20 x 20 m were established from a pool of 60 species belonging to four functional groups (grasses, legumes, tall and small herbs). In May 2002, varying numbers of plant species from this species pool were sown into the plots to create a gradient of plant species richness (1, 2, 4, 8, 16 and 60 species) and functional richness (1, 2, 3, 4 functional groups). Plots were maintained in general by bi-annual weeding and mowing. Since 2010, plot size was reduced to 5 x 6 m and plots were weeded three times per year. Aboveground plant biomass was harvested once in September at estimated peak standing biomass before mowing. Plants were clipped at 3 cm above ground level in four rectangles of 20 x 50 cm size per plot. All material was sorted to species, weeds and rest (dead). Samples were dried at 70 °C for at least 48 h and weeds and rest were thrown away. All other material from one plot was combined to one sample and cut up with an analysis mill (Kinematica, Littau, Schweiz). The cut material was milled to fine powder in a ball-mill (Cyclotec 1093 Sample Mill, Foss Tecator, Hoganas, Sweden). From the milled material appr. 20 mg were weighed in for CN analysis. Carbon and nitrogen concentrations of this subsample were then determined with an elemental analyzer (vario EL element alalyser).
    Schlagwort(e): Carbon; Date/time end; Date/time start; EXP; Experiment; Experimental plot; HEIGHT above ground; Height aboveground, maximum; Height aboveground, minimum; Jena Experiment 2002; JenExp; JenExp_2002; Nitrogen, total; The Jena Experiment; Thuringia, Germany; Treatment: aboveground: pesticide; Treatment: below pesticide; Treatment: drought; Treatment: eartworm exclosure; Treatment: fertilizing; Treatment: molluscide; Treatment: mowing; Treatment: nematicide; Treatment: phytometers; Treatment: seed addition; Treatment: special; Treatment: weeding; Treatment: weeding history
    Materialart: Dataset
    Format: text/tab-separated-values, 1640 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 41
    Publikationsdatum: 2024-06-13
    Beschreibung: This collection contains measurements of standing below ground biomass, belowground biomass productivity and morphological root parameters measured on the Main Experiment plots of a large grassland biodiversity experiment (the Jena Experiment; see further details below). In the Main Experiment, 82 grassland plots of 20 x 20 m were established from a pool of 60 species belonging to four functional groups (grasses, legumes, tall and small herbs). In May 2002, varying numbers of plant species from this species pool were sown into the plots to create a gradient of plant species richness (1, 2, 4, 8, 16 and 60 species) and functional richness (1, 2, 3, 4 functional groups). Since 2010, plots were weeded three times per year. The following series of datasets are contained in this collection: 1. Standing below ground biomass: Coarse and fine root biomass was measured in 2003, 2004, 2006 and 2008 in 0 - 30 cm depth. In 2011 and 2014, total root biomass was sampled down to 40 cm depth. Some years report the data divided into sublayers. Every year, several soil cores were taken per plot and pooled before the whole bulk material or a subsample was washed for roots. Roots were dried at 60 - 70 °C and weighed. Standing root biomass was calculated as g m-2. 2. Below ground biomass productivity in 0 - 30 cm depth: Coarse and fine root biomass production from June to September 2003, September 2003 to July 2004 and July 2007 to June 2008 was measured by the ingrowth core method. In 2008, the data is reported divided into sublayers. Each time, five soil cores were taken per plot and replaced by root free soil from the field site. The initially root-free ingrowth cores were removed after a while and pooled plot-wise. To extract the newly formed roots, a subsample of the bulk material was washed for roots. Roots were dried at 70 °C and weighed. Root biomass productivity was calculated as g m-2. In addition, C- (only in 2003 and 2004) and N-concentration of the fine roots was determined. 3. Morphological root parameters of newly formed roots in 0 - 30 cm depth: Root length density and mean root diameter of newly formed roots from June to September 2003 and September 2003 to July 2004 were measured by the ingrowth core method. Each time, five soil cores were taken per plot and replaced by root free soil from the field site. The initially root-free ingrowth cores were removed after a while and pooled plot-wise. To extract the newly formed roots, a subsample of the bulk material was washed and scanned. Root length and mean diameter were determined by using WinRhizo (Regent Instruments, Quebec, Canada). 4. Morphological root parameters of standing roots in 0 - 30 cm depth: In 2004, mean diameter of standing roots was measured by sampling three soil cores per plot. To extract the standing roots, a subsample of the bulk material was washed and scanned. Mean diameter was determined by using WinRhizo (Regent Instruments, Quebec, Canada).
    Schlagwort(e): JenExp; The Jena Experiment
    Materialart: Dataset
    Format: application/zip, 10 datasets
    Standort Signatur Erwartet Verfügbarkeit
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  • 42
    Publikationsdatum: 2024-06-13
    Schlagwort(e): AL374; AL374_512-1; Alkor (1990); DATE/TIME; ECO2; Ocean Floor Observation System; OFOS; Oxygen; Oxygen, microelectrode; pH; pH microelectrode (MI-408 Needle, Microelectrodes); Pt-1000 temperature sensor; Sleipner; Sub-seabed CO2 Storage: Impact on Marine Ecosystems; Temperature, water
    Materialart: Dataset
    Format: text/tab-separated-values, 33803 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 43
    Publikationsdatum: 2024-06-13
    Schlagwort(e): AL374; AL374_496-1; Alkor (1990); DATE/TIME; ECO2; Ocean Floor Observation System; OFOS; Oxygen; Oxygen, microelectrode; pH; pH microelectrode (MI-408 Needle, Microelectrodes); Pt-1000 temperature sensor; Salt Dome Juist; Sub-seabed CO2 Storage: Impact on Marine Ecosystems; Temperature, water
    Materialart: Dataset
    Format: text/tab-separated-values, 23538 data points
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 44
    Publikationsdatum: 2024-06-13
    Schlagwort(e): AL374; AL374_537-1; Alkor (1990); DATE/TIME; ECO2; Ocean Floor Observation System; OFOS; Oxygen; Oxygen, microelectrode; pH; pH microelectrode (MI-408 Needle, Microelectrodes); Pt-1000 temperature sensor; Sleipner; Sub-seabed CO2 Storage: Impact on Marine Ecosystems; Temperature, water
    Materialart: Dataset
    Format: text/tab-separated-values, 55815 data points
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 45
    Publikationsdatum: 2024-06-13
    Schlagwort(e): Conductivity; CTD, Sea-Bird SBE 911plus; CTD/Rosette; CTD-RO; DATE/TIME; Density, sigma-theta (0); DEPTH, water; ECO2; ECO2-CAGE / CAGE 13.4; Elevation of event; Event label; Fluorescence, chlorophyll; Helmer Hanssen; HelmerHanssen2013007; HH13-ECO2-306; HH13-ECO2-307; HH13-ECO2-308; HH13-ECO2-309; HH13-ECO2-310; HH13-ECO2-311; HH13-ECO2-312; HH13-ECO2-313; HH13-ECO2-314; HH13-ECO2-315; HH13-ECO2-316; HH13-ECO2-317; HH13-ECO2-318; HH13-ECO2-319; HH13-ECO2-320; HH13-ECO2-321; HH13-ECO2-322; HH13-ECO2-323; HH13-ECO2-324; HH13-ECO2-325; HH13-ECO2-326; HH13-ECO2-327; HH13-ECO2-328; HH13-ECO2-329; HH13-ECO2-330; HH13-ECO2-331; HH13-ECO2-332; HH13-ECO2-333; HH13-ECO2-334; HH13-ECO2-335; HH13-ECO2-336; HH13-ECO2-337; HH13-ECO2-338; HH13-ECO2-339; HH13-ECO2-340; HH13-ECO2-341; HH13-ECO2-342; HH13-ECO2-343; HH13-ECO2-344; HH13-ECO2-345; Latitude of event; Longitude of event; Oxygen; Pressure, water; Salinity; Snoehvit; Sub-seabed CO2 Storage: Impact on Marine Ecosystems; Temperature, water; Turbidity (Formazin Turbidity Unit)
    Materialart: Dataset
    Format: text/tab-separated-values, 103038 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 46
    Publikationsdatum: 2024-06-13
    Beschreibung: This data set contains measurements of carbon and nitrogen concentrations in aboveground plant biomass. Data presented here is from the Main Experiment plots of a large grassland biodiversity experiment (the Jena Experiment; see further details below). In the main experiment, 82 grassland plots of 20 x 20 m were established from a pool of 60 species belonging to four functional groups (grasses, legumes, tall and small herbs). In May 2002, varying numbers of plant species from this species pool were sown into the plots to create a gradient of plant species richness (1, 2, 4, 8, 16 and 60 species) and functional richness (1, 2, 3, 4 functional groups). Plots were maintained in general by bi-annual weeding and mowing. Since 2010, plot size was reduced to 5 x 6 m and plots were weeded three times per year. Aboveground plant biomass was harvested twice in May and August at estimated peak standing biomass before mowing. Plants were clipped at 3 cm above ground level in four rectangles of 20 x 50 cm size per plot. All material was sorted to species, weeds and rest (dead). Samples were dried at 70 °C for at least 48 h and weeds and rest were thrown away. All other material from one plot was combined to one sample and cut up with an analysis mill (Kinematica, Littau, Schweiz). A small subsample of this material was milled to fine powder in a ball-mill (Retsch MM 400). From the milled material max. 5 mg were weighed in for CN analysis. Carbon and nitrogen concentrations of this subsample were then determined with an elemental analyzer (Flash EA 112 Thermo). In 2010, phosphorous and potassium concentrations were measured additionally. For this purpose, a subsample of the dried and cut material was milled and digested with HNO3 at 200 °C and at about 600-700 MPa using the microwave-assisted high pressure digestion unit (Ethos, Mikrowellen-Laborsysteme (MLS), Leutkirch, Germany). Phosphorus concentrations were determined in a Continuous Flow Analyzer, AA3-system (Bran and Lübbe, Hamburg-Norderstedt, Germany). For K measurement, atom absorption spectroscopy (AAS, Zeenit 700P, Analytik Jena, Jena, Germany) was used.
    Schlagwort(e): Carbon; Date/time end; Date/time start; EXP; Experiment; Experimental plot; HEIGHT above ground; Height aboveground, maximum; Height aboveground, minimum; Jena Experiment 2010; JenExp; JenExp_2010; Nitrogen, total; Phosphorus; Potassium; The Jena Experiment; Thuringia, Germany; Treatment: aboveground: pesticide; Treatment: below pesticide; Treatment: drought; Treatment: eartworm exclosure; Treatment: fertilizing; Treatment: molluscide; Treatment: mowing; Treatment: nematicide; Treatment: phytometers; Treatment: seed addition; Treatment: special; Treatment: weeding; Treatment: weeding history
    Materialart: Dataset
    Format: text/tab-separated-values, 3608 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 47
    Publikationsdatum: 2024-06-13
    Beschreibung: This data set contains measurements of carbon and nitrogen concentrations in aboveground plant biomass. Data presented here is from the Main Experiment plots of a large grassland biodiversity experiment (the Jena Experiment; see further details below). In the main experiment, 82 grassland plots of 20 x 20 m were established from a pool of 60 species belonging to four functional groups (grasses, legumes, tall and small herbs). In May 2002, varying numbers of plant species from this species pool were sown into the plots to create a gradient of plant species richness (1, 2, 4, 8, 16 and 60 species) and functional richness (1, 2, 3, 4 functional groups). Plots were maintained in general by bi-annual weeding and mowing. Since 2010, plot size was reduced to 5 x 6 m and plots were weeded three times per year. Aboveground plant biomass was harvested twice in the end of May and in August at estimated peak standing biomass before mowing. Plants were clipped at 3 cm above ground level in four rectangles of 20 x 50 cm size per plot. All material was sorted to species, weeds and rest (dead). Samples were dried at 70 °C for at least 48 h and weeds and rest were thrown away. All other material from one plot was combined to one sample and cut up with an analysis mill (Kinematica, Littau, Schweiz). A small subsample of this material was milled to fine powder in a ball-mill (Retsch MM 400). From the milled material max. 5 mg were weighed in for CN analysis. Carbon and nitrogen concentrations of this subsample were then determined with an elemental analyzer (Flash EA 112 Thermo).
    Schlagwort(e): Carbon; Date/time end; Date/time start; EXP; Experiment; Experimental plot; HEIGHT above ground; Height aboveground, maximum; Height aboveground, minimum; Jena Experiment 2012; JenExp; JenExp_2012; Nitrogen, total; The Jena Experiment; Thuringia, Germany; Treatment: aboveground: pesticide; Treatment: below pesticide; Treatment: drought; Treatment: eartworm exclosure; Treatment: fertilizing; Treatment: molluscide; Treatment: mowing; Treatment: nematicide; Treatment: phytometers; Treatment: seed addition; Treatment: special; Treatment: weeding; Treatment: weeding history
    Materialart: Dataset
    Format: text/tab-separated-values, 3268 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 48
    facet.materialart.
    Unbekannt
    PANGAEA
    In:  Supplement to: Sperfeld, Erik; Mangor‑Jensen, Anders; Dalpadado, Padmini (2017): Effects of increasing pCO2 on life history traits and feeding of the littoral mysid Praunus flexuosus. Marine Biology, 164(8), https://doi.org/10.1007/s00227-017-3203-0
    Publikationsdatum: 2024-06-13
    Beschreibung: Mysids, an important food web component in the littoral zone of coastal waters, have been neglected so far in ocean acidification research. Juveniles of the littoral mysid Praunus flexuosus were exposed in the laboratory to four pCO2 levels (530, 930, 1200, and 1600 µatm) for 5 weeks. In addition, juveniles were provided with two different food levels during the experiment. High pCO2 did not affect survival, but delayed moulting. Juvenile growth decreased and inter-moult period between the last moulting events increased with increasing pCO2 at low but not at high food supply, suggesting that high food availability is needed to prevent these negative effects of elevated pCO2. However, small individual juveniles showed lower feeding rates at high pCO2 compared to the control after prolonged exposure, suggesting decreased activity likely due to impaired metabolism. The subtle negative effects of elevated pCO2 on life history traits observed in this study suggest that P. flexuosus probably has to adapt to counteract adverse effects of predicted high pCO2, especially when food is limiting.
    Schlagwort(e): Alkalinity, total; Alkalinity, total, standard deviation; Animalia; Aragonite saturation state; Aragonite saturation state, standard deviation; Arthropoda; Behaviour; Bicarbonate ion; Bicarbonate ion, standard deviation; Bottles or small containers/Aquaria (〈20 L); Calcite saturation state; Calcite saturation state, standard deviation; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbonate ion; Carbonate ion, standard deviation; Carbonate system computation flag; Carbon dioxide; Carbon dioxide, standard deviation; Coast and continental shelf; Date; Development; Dry mass; Dry mass, standard deviation; EXP; Experiment; Experiment duration; Feeding rate; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Glesvaer; Growth/Morphology; Laboratory experiment; Length; Length, standard deviation; Mortality/Survival; North Atlantic; Number; OA-ICC; Ocean Acidification International Coordination Centre; Other; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH; pH, standard deviation; Phosphate; Phosphate, standard deviation; Praunus flexuosus; Registration number of species; Replicates; Salinity; Salinity, standard deviation; Silicate; Silicate, standard deviation; Single species; Species; Status; Temperate; Temperature, water; Temperature, water, standard deviation; Time in days; Treatment; Type; Uniform resource locator/link to reference; Zooplankton
    Materialart: Dataset
    Format: text/tab-separated-values, 18444 data points
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  • 49
    Publikationsdatum: 2024-06-13
    Beschreibung: Baffin Bay is a semi-enclosed basin connecting the Arctic Ocean and the western North Atlantic, thus making out a significant pathway for heat exchange. Here we reconstruct the alternating advection of relatively warmer and saline Atlantic waters versus the incursion of colder Arctic water masses entering Baffin Bay through the multiple gateways in the Canadian Arctic Archipelago and the Nares Strait during the Holocene. We carried out benthic foraminiferal assemblage analyses, X-ray fluorescence scanning, and radiocarbon dating of a 738 cm long marine sediment core retrieved from eastern Baffin Bay near Upernavik, Greenland (Core AMD14-204C; 987m water depth). Results reveal that eastern Baffin Bay was subjected to several oceanographic changes during the last 9.2 kyrCE1. Waning deglacial conditions with enhanced meltwater influxes and an extensive sea-ice cover prevailed in eastern Baffin Bay from 9.2 to 7.9 ka. A transition towards bottom water amelioration is recorded at 7.9 ka by increased advection of Atlantic water masses, encompassing the Holocene Thermal Maximum. A cold period with growing sea-ice cover at 6.7 ka interrupts the overall warm subsurface water conditions, promoted by a weaker northward flow of Atlantic waters. The onset of the neoglaciation at ca. 2.9 ka is marked by an abrupt transition towards a benthic fauna dominated by agglutinated species, likely in part explained by a reduction of the influx of Atlantic Water, allowing an increased influx of the cold, corrosive Baffin Bay Deep Water originating from the Arctic Ocean to enter Baffin Bay through the Nares Strait. These cold subsurface water conditions persisted throughout the Late Holocene, only interrupted by short-lived warmings superimposed on this cooling trend.
    Schlagwort(e): AGE; AMD14_1b; AMD14-204_CASQ; AMD14-204C; ArcticNet; Astrononion gallowayi; Baffin Bay; Benthic foraminifera; Bolivina pseudopunctata; Buliminella elegantissima; Calypso square corer; CASQ; Cassidulina neoteretis; Cassidulina reniforme; CCGS Amundsen; DEPTH, sediment/rock; Elphidium clavatum; Epistominella arctica; Epistominella vitrea; Foraminifera, benthic; Foraminifera, benthic agglutinated; Foraminifera, benthic atlantic species; Foraminifera, benthic calcareous; Foraminifera, planktic; Foraminifera, sea ice species; Holocene; Islandiella norcrossi; Nonionellina labradorica; Portatrochammina bipolaris; Psammosphaera fusca; Ratio; Recurvoides trochamminiformis; Reophax subfusiformis; Stainforthia feylingi; Textularia earlandi; Textularia kattegatensis; Textularia torquata
    Materialart: Dataset
    Format: text/tab-separated-values, 2106 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 50
    Publikationsdatum: 2024-06-13
    Beschreibung: This dataset provides abundance data for meiofauna taxa determined from sediment samples collected in the Weddell Sea (mostly South-Eastern). A minimum of three samples (cores) were collected at each station with a MUC10 multicorer or taken from a giant box corer during PS96. Sediment cores were sliced into depth layers (stations 017, 026, 061, 072: 0–2cm, 2–5cm, 5– bottom; stations 001, 037, 048: 0–1cm, 1–2cm, 2–3cm, 3–4cm, 4–5cm, 5– bottom) and preserved in 4%-borax-buffered formaldehyde solution prior to sieving (upper sieve size 500 µm, lower sieve size 32 µm) and counting (detailed methods in Säring et al. submitted). Abundance is presented per depth layer from the top 5 cm (note different slice volume) as ind./10 cm². Meiofauna communities included individuals from 22 higher taxa. The meiofauna abundance data are part of a larger ecological study on meio- and macrofauna communities and their relation to environmental conditions and remineralisation at the sediment-water interface (see “Related to” below). For the larger study, sediment cores from which meiofauna abundance data are deposited here were also used for microcosm incubations: Untreated incubations (Benthic ecosystem Function Experiments BEFEx), and incubations with and without microalgae addition (Algae Feeding Experiment AFEx). Cores from BEFEx and AFEx without algae are labeled with NT (not treated), cores from AFEx with algae are labeled as T (treated).
    Schlagwort(e): Acari; Amphipoda; Annelida; Antarctic; ANT-XXXI/2 FROSN; Bivalvia; box corer; Cladocera; Coelenterata; community composition; Copepoda; Copepoda, nauplii; Counting 32-500 µm fraction; Cruise/expedition; Cumacea; Date/Time of event; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Elevation of event; Event label; Experiment; fauna abundance; Gastropoda; Gastrotricha; Gear; Gear identification number; Giant box corer; GKG; Isopoda; Kinorhyncha; Latitude of event; Longitude of event; Loricifera; meiofauna; Meiofauna, other; MUC; MultiCorer; Nematoda; Ostracoda; Polarstern; Priapulida; Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas; PS96; PS96/001-7; PS96/001-8; PS96/017-3; PS96/026-11; PS96/026-7; PS96/026-8; PS96/037-8; PS96/037-9; PS96/048-7; PS96/048-8; PS96/061-5; PS96/061-6; PS96/072-9; Rotifera; Sample ID; sediment depth layers; Sipunculida; Solenogastres; Southern Ocean; SPP1158; Station label; Tanaidacea; Tantulocarida; Tardigrada; taxa; Treatment; Weddell Sea
    Materialart: Dataset
    Format: text/tab-separated-values, 3399 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 51
    Publikationsdatum: 2024-06-13
    Beschreibung: A systematic investigation of the extant coccolithophore community around Azores Archipelago was performed during the cruise M150 of FS Meteor between August, 27, and October, 2, 2018, in the scope of the project BIODIAZ - Controls in benthic and pelagic BIODIversity of the AZores. For the description of the spacial and vertical distribution of the extant coccolithophore community sampling was done at 50 stations along 9 transects including 3 islands, a seamount and islets from 5 to 8 water depths between surface and 150 m. A total of 306 samples were obtained, filtered onboard onto polycarbonate membranes and sections of these filters mounted in the laboratory on microscope slides for analysis by cross-polarized light microscopy. At least 400 coccospheres were counted through a randomly selected sequence of fields of view and the absolute abundances (Coccospheres/L) were estimated.
    Schlagwort(e): Acanthoica spp.; Algirosphaera robusta; Biodiversity; calcareous nannophytoplankton; Calcidiscus spp.; Calciosolenia spp.; Coronosphaera spp.; Cross-polarized light microscopy; CTD/Rosette; CTD-RO; DATE/TIME; DEPTH, water; Discosphaera tubifera; ecology; Emiliania huxleyi; Event label; Florisphaera profunda; Gephyrocapsa ericsonii; Gephyrocapsa muellerae; Gephyrocapsa oceanica; Gladiolithus flabellatus; Helicosphaera spp.; Heterococcolithophores; Holococcolithophore spp.; islands; LATITUDE; LONGITUDE; M150; M150_1-1; M150_113-1; M150_139-1; M150_14-1; M150_143-1; M150_155-1; M150_165-1; M150_169-1; M150_171-1; M150_179-1; M150_203-1; M150_2-1; M150_211-1; M150_230-1; M150_238-1; M150_272-1; M150_274-1; M150_291-1; M150_313-1; M150_315-1; M150_333-1; M150_347-1; M150_352-1; M150_393-1; M150_423-1; M150_426-1; M150_433-1; M150_465-1; M150_467-1; M150_486-1; M150_505-1; M150_508-1; M150_51-1; M150_511-1; M150_531-1; M150_537-1; M150_539-1; M150_549-1; M150_560-1; M150_563-1; M150_584-1; M150_587-1; M150_597-1; M150_605-1; M150_639-1; M150_647-1; M150_71-1; M150_87-1; M150_91-1; M150_94-1; Meteor (1986); Michaelsarsia spp.; Oolithotus spp.; Ophiaster spp.; Reticulofenestra sessilis; Rhabdosphaera spp.; Seamounts; Syracosphaera lamina; Syracosphaera spp.; Umbellosphaera spp.; Umbilicosphaera spp.
    Materialart: Dataset
    Format: text/tab-separated-values, 7344 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 52
    Publikationsdatum: 2024-06-13
    Beschreibung: Multibeam bathymetry raw data was recorded in the North Atlantic during cruise SO276 MerMet 17-6 that took place between 2020-06-22 and 2020-07-26. The data was collected using the ship's own Kongsberg EM 122. Sound velocity profiles (SVP) were applied on the data for calibration. Please see environmental data (zip file) and the cruise report for details.
    Schlagwort(e): Binary Object; Comment; DAM_Underway; DAM Underway Research Data; Data file recording distance; Data file recording duration; DATE/TIME; ELEVATION; Event label; File content; KEM122; Kongsberg datagram raw file name; KONGSBERG EM122; LATITUDE; LONGITUDE; MerMet 17-6; Norwegian Sea, Arctic Ocean; Number of pings; Ship speed; SO276; SO276_0_Underway-1; Sonne_2; Start of data file, depth; Start of data file, heading; Start of data file recording, date/time; Start of data file recording, latitude; Start of data file recording, longitude; Stop of data file, depth; Stop of data file, heading; Stop of data file recording, date/time; Stop of data file recording, latitude; Stop of data file recording, longitude
    Materialart: Dataset
    Format: text/tab-separated-values, 7998 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 53
    Publikationsdatum: 2024-06-13
    Beschreibung: This file contains data on number of mesopelagic fish collected during the CSIC-SUMMER survey carried out in October 2020 in five zones around the Iberian Peninsula: Balears and Alboran in the western Mediterranean, and Cadiz, Lisboa and Galicia. The scientific midwater trawl Mesopelagos fitted with a Multisampler placed at the end of the net was used to collect specimens at seven layers of the water column. The depth of the net was controlled by a SCANMAR system. In the five zones, hauls were carried out day and night to study vertical migration patterns of mesopelagic fish. A total of 24 deployments were made (between 0 and 700 m), of which 14 discriminated water layers. Additionally, to more accurately sample the epipelagic layers 7 night hauls were restricted to the first 210 m of the water column. Fish were identified and counted on board, or frozen for later processes in the laboratory. These data were obtained within the European Union Project 'Sustainable Management of Mesopelagic Resources' (SUMMER, Grant Agreement 817806) as funded by the Horizon 2020 Research and Innovation Programme.
    Schlagwort(e): 29SG20200929; 29SG20200929_1-PEL01; 29SG20200929_1-PEL02; 29SG20200929_1-PEL03; 29SG20200929_1-PEL05; 29SG20200929_1-PEL06; 29SG20200929_2-PEL07; 29SG20200929_2-PEL08; 29SG20200929_2-PEL09; 29SG20200929_2-PEL10; 29SG20200929_2-PEL11; 29SG20200929_2-PEL12; 29SG20200929_3-PEL13; 29SG20200929_3-PEL14; 29SG20200929_3-PEL15; 29SG20200929_3-PEL16; 29SG20200929_3-PEL17; 29SG20200929_3-PEL18; 29SG20200929_4-PEL19; 29SG20200929_4-PEL20; 29SG20200929_4-PEL22; 29SG20200929_4-PEL23; 29SG20200929_5-PEL25; 29SG20200929_5-PEL26; Alboran Sea, Mediterranean Sea; Balearic Islands, western Mediterranean Sea; Calculated; Code; Counting, visual; DATE/TIME; Depth, bathymetric; DEPTH, water; distribution; diversity; Event label; Family; Field observation; Gulf of Cádiz, Atlantic Ocean; Haul; LATITUDE; Light mode; LONGITUDE; Mesh size; mesopelagic fish; Mesopelagos; Midwater trawl, Mesopelagos (Meillat, 2012); Net, mouth area, effective; Number of individuals; Order; PEL01; PEL02; PEL03; PEL05; PEL06; PEL07; PEL08; PEL09; PEL10; PEL11; PEL12; PEL13; PEL14; PEL15; PEL16; PEL17; PEL18; PEL19; PEL20; PEL22; PEL23; PEL25; PEL26; Sarmiento de Gamboa; Sea off Galicia, Atlantic Ocean; Sea off Lisbon, Atlantic Ocean; SUMMER; Sustainable Management of Mesopelagic Resources; Taxa; Taxon/taxa, unique identification; Taxon/taxa, unique identification (Semantic URI); Taxon/taxa, unique identification (URI); Towing speed; vertical migration; VID; Visual identification; Water volume, filtered
    Materialart: Dataset
    Format: text/tab-separated-values, 9776 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 54
    Publikationsdatum: 2024-06-13
    Schlagwort(e): ECO2; Event label; File name; File size; Helmer Hanssen; HelmerHanssen2011003; HH11-ECO2-OBS1; HH11-ECO2-OBS2; HH11-ECO2-OBS3; HH11-ECO2-OBS4; OBS; OBS1; OBS2; OBS3; OBS4; Ocean bottom seismometer; Snoehvit; Sub-seabed CO2 Storage: Impact on Marine Ecosystems; Uniform resource locator/link to sgy data file
    Materialart: Dataset
    Format: text/tab-separated-values, 12 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 55
    facet.materialart.
    Unbekannt
    PANGAEA
    Publikationsdatum: 2024-06-13
    Schlagwort(e): 247; AA; Alkalinity, total; Ammonium; Autoanalyzer; Bromide; Chloride; DEPTH, sediment/rock; ECO2; Gas chromatography - Isotope ratio mass spectrometer (GC-IRMS); Ion chromatography; James Cook; JC077; JC077-MC03; MEGAC; MegaCorer; Phosphate; Silicate; Sub-seabed CO2 Storage: Impact on Marine Ecosystems; Sulfate; Titration; δ13C, dissolved inorganic carbon
    Materialart: Dataset
    Format: text/tab-separated-values, 17 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 56
    facet.materialart.
    Unbekannt
    PANGAEA
    Publikationsdatum: 2024-06-13
    Schlagwort(e): 319; DEPTH, sediment/rock; ECO2; James Cook; JC077; JC077-MC18; MEGAC; MegaCorer; Methane; Sub-seabed CO2 Storage: Impact on Marine Ecosystems
    Materialart: Dataset
    Format: text/tab-separated-values, 8 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 57
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    Unbekannt
    PANGAEA
    Publikationsdatum: 2024-06-13
    Schlagwort(e): 288; Alkalinity, total; Barium; Boron; Bromide; Calcium; Chloride; DEPTH, sediment/rock; ECO2; Gas chromatography - Isotope ratio mass spectrometer (GC-IRMS); Inductively coupled plasma - mass spectrometry (ICP-MS); Ion chromatography; Iron; James Cook; JC077; JC077-MC04; Lithium; Magnesium; Manganese; MEGAC; MegaCorer; Sodium; Strontium; Sub-seabed CO2 Storage: Impact on Marine Ecosystems; Sulfate; Titration; δ13C, dissolved inorganic carbon
    Materialart: Dataset
    Format: text/tab-separated-values, 53 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 58
    facet.materialart.
    Unbekannt
    PANGAEA
    Publikationsdatum: 2024-06-13
    Schlagwort(e): 356; DEPTH, sediment/rock; ECO2; James Cook; JC077; JC077-MC31; MEGAC; MegaCorer; Methane; Sub-seabed CO2 Storage: Impact on Marine Ecosystems
    Materialart: Dataset
    Format: text/tab-separated-values, 6 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 59
    facet.materialart.
    Unbekannt
    PANGAEA
    Publikationsdatum: 2024-06-13
    Schlagwort(e): 217; AA; Alkalinity, total; Ammonium; Autoanalyzer; Barium; Boron; Bromide; Calcium; Chloride; DEPTH, sediment/rock; ECO2; Gas chromatography - Isotope ratio mass spectrometer (GC-IRMS); Inductively coupled plasma - mass spectrometry (ICP-MS); Ion chromatography; Iron; James Cook; JC077; JC077-MC1; Lithium; Magnesium; Manganese; MEGAC; MegaCorer; Phosphate; Silicate; Sodium; Strontium; Sub-seabed CO2 Storage: Impact on Marine Ecosystems; Sulfate; Titration; δ13C, dissolved inorganic carbon
    Materialart: Dataset
    Format: text/tab-separated-values, 79 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 60
    facet.materialart.
    Unbekannt
    PANGAEA
    Publikationsdatum: 2024-06-13
    Schlagwort(e): 296; Alkalinity, total; Barium; Boron; Bromide; Calcium; Chloride; DEPTH, sediment/rock; ECO2; Gas chromatography - Isotope ratio mass spectrometer (GC-IRMS); Inductively coupled plasma - mass spectrometry (ICP-MS); Ion chromatography; Iron; James Cook; JC077; JC077-MC12; Lithium; Magnesium; Manganese; MEGAC; MegaCorer; Sodium; Strontium; Sub-seabed CO2 Storage: Impact on Marine Ecosystems; Sulfate; Titration; δ13C, dissolved inorganic carbon
    Materialart: Dataset
    Format: text/tab-separated-values, 77 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 61
    facet.materialart.
    Unbekannt
    PANGAEA
    Publikationsdatum: 2024-06-13
    Schlagwort(e): 297; Alkalinity, total; Barium; Boron; Bromide; Calcium; Chloride; DEPTH, sediment/rock; ECO2; Gas chromatography - Isotope ratio mass spectrometer (GC-IRMS); Inductively coupled plasma - mass spectrometry (ICP-MS); Ion chromatography; Iron; James Cook; JC077; JC077-MC13; Lithium; Magnesium; Manganese; MEGAC; MegaCorer; Sodium; Strontium; Sub-seabed CO2 Storage: Impact on Marine Ecosystems; Sulfate; Titration; δ13C, dissolved inorganic carbon
    Materialart: Dataset
    Format: text/tab-separated-values, 41 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 62
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    Unbekannt
    PANGAEA
    Publikationsdatum: 2024-06-13
    Schlagwort(e): 319; AA; Alkalinity, total; Ammonium; Autoanalyzer; Barium; Boron; Bromide; Calcium; Chloride; DEPTH, sediment/rock; ECO2; Gas chromatography - Isotope ratio mass spectrometer (GC-IRMS); Inductively coupled plasma - mass spectrometry (ICP-MS); Ion chromatography; Iron; James Cook; JC077; JC077-MC18; Lithium; Magnesium; Manganese; MEGAC; MegaCorer; Phosphate; Silicate; Sodium; Strontium; Sub-seabed CO2 Storage: Impact on Marine Ecosystems; Sulfate; Titration; δ13C, dissolved inorganic carbon
    Materialart: Dataset
    Format: text/tab-separated-values, 108 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 63
    facet.materialart.
    Unbekannt
    PANGAEA
    Publikationsdatum: 2024-06-13
    Schlagwort(e): 356; AA; Alkalinity, total; Ammonium; Autoanalyzer; Barium; Boron; Calcium; DEPTH, sediment/rock; ECO2; Gas chromatography - Isotope ratio mass spectrometer (GC-IRMS); Inductively coupled plasma - mass spectrometry (ICP-MS); Iron; James Cook; JC077; JC077-MC31; Lithium; Magnesium; Manganese; MEGAC; MegaCorer; Phosphate; Silicate; Sodium; Strontium; Sub-seabed CO2 Storage: Impact on Marine Ecosystems; Titration; δ13C, dissolved inorganic carbon
    Materialart: Dataset
    Format: text/tab-separated-values, 71 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 64
    Publikationsdatum: 2024-06-13
    Schlagwort(e): Conductivity; CTD/Rosette; CTD-RO; Date/Time of event; Density, mass density; DEPTH, water; ECO2; Elevation of event; Event label; James Cook; JC077; JC077-CTD1; JC077-CTD10; JC077-CTD11; JC077-CTD12; JC077-CTD13; JC077-CTD14; JC077-CTD15; JC077-CTD16; JC077-CTD17; JC077-CTD18; JC077-CTD19; JC077-CTD2; JC077-CTD20; JC077-CTD21; JC077-CTD22; JC077-CTD23; JC077-CTD24; JC077-CTD25; JC077-CTD26; JC077-CTD27; JC077-CTD28; JC077-CTD29; JC077-CTD3; JC077-CTD30; JC077-CTD31; JC077-CTD32; JC077-CTD33; JC077-CTD34; JC077-CTD35; JC077-CTD36; JC077-CTD37; JC077-CTD38; JC077-CTD39; JC077-CTD4; JC077-CTD40; JC077-CTD41; JC077-CTD42; JC077-CTD43; JC077-CTD44; JC077-CTD45; JC077-CTD46; JC077-CTD47; JC077-CTD48; JC077-CTD49; JC077-CTD5; JC077-CTD50; JC077-CTD51; JC077-CTD52; JC077-CTD53; JC077-CTD54; JC077-CTD55; JC077-CTD56; JC077-CTD57; JC077-CTD58; JC077-CTD59; JC077-CTD6; JC077-CTD60; JC077-CTD61; JC077-CTD62; JC077-CTD63; JC077-CTD64; JC077-CTD7; JC077-CTD8; JC077-CTD9; Latitude of event; Longitude of event; Oxygen saturation; Pressure, water; Salinity; Sub-seabed CO2 Storage: Impact on Marine Ecosystems; Temperature, water
    Materialart: Dataset
    Format: text/tab-separated-values, 27474 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 65
    Publikationsdatum: 2024-06-13
    Beschreibung: This raster dataset, in Cloud Optimized GeoTIFF format (COG), provides information on land surface changes at the pan-arctic scale. Multispectral Landsat-5 TM, Landsat-7 ETM+, and Landsat-8 OLI imagery (cloud-cover less than 80%, months July and August) was used for detecting disturbance trends (associated with abrupt permafrost degradation) between 2003 and 2022. For each satellite image we calculated the Tasseled Cap multi-spectral index to translate the spectral reflectance signal to the semantic information Brightness, Greenness, and Wetness. In order to characterize change information, we calculated the linear trend of the Brightness, Greenness and Wetness over two decades on the individual pixel level. The final map product therefore contains information on the direction and magnitude of change for all three Tasseled Cap parameters in 30m spatial resolution across the pan-arctic permafrost domain. Features detected include coastal erosion, lake drainage, infrastructure expansion, and fires. The general processing methodology was developed by Fraser et al. 2014 and adapted and expanded by Nitze et al. 2016 and Nitze et al. 2018. Here we upscaled the processing to the circum-arctic permafrost region and the recent 20-year period from 2003 through 2022. The service covers the permafrost region up to 81° North: Alaska (USA), Canada, Greenland, Iceland, Norway, Sweden, Finland, Russia, Mongolia, and China. For Russia and China, regions not containing permafrost were excluded. The data has been processed in Google EarthEngine within the research projects ERC PETA-CARB, ESA CCI+ Permafrost, NSF Permafrost Discovery Gateway, and EU Arctic PASSION. The dataset is a contribution to the 'Panarctic requirements-driven Permafrost Service' of the Arctic PASSION project (see references). Changes in the Tasseled Cap indices Brightness, Greenness, and Wetness are displayed in the image bands red, green, and blue, respectively. Here, coastal erosion (a trend of a land surface transitioning to a water surface) is depicted in dark blue colors, while coastal accretion (a trend of a water surface transitioning to a land surface) is depicted in bright orange colors. Drained lakes appear in bright yellow or orange colors, depending on the soil conditions and vegetation regrowth. Fire scars are a further common feature, which can appear in different colors, depending on the time of the fire and pre-fire land cover. The data can be explored via the Arctic Landscape EXplorer (ALEX, see references) and is available as a public web map service (WMS, see references), both hosted by Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research.
    Schlagwort(e): Arctic_PASSION; Arctic_PASSION_Permafrost_Service; Arctic PASSION; Binary Object; Binary Object (File Size); Binary Object (Media Type); CCI Permafrost; Circum-arctic permafrost region; Coastline change; Earth observation; ESA_CCI_Permafrost_CCN2; ESA GlobPermafrost; File content; GlobPermafrost; Horizontal datum; Lake change; Lake drainage; Land cover change; Latitude, northbound; Latitude, southbound; Longitude, eastbound; Longitude, westbound; Multispectral index; NSF Permafrost Discovery Gateway; Pan-Arctic observing System of Systems: Implementing Observations for societal Needs; Permafrost_Discovery_Gateway; PETA-CARB; Rapid Permafrost Thaw in a Warming Arctic and Impacts on the Soil Organic Carbon Pool; Raster cell size; River bank erosion; SAT; satellite data; Satellite remote sensing; Shore erosion; Thaw slumping; thermokarst
    Materialart: Dataset
    Format: text/tab-separated-values, 16 data points
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  • 66
    Publikationsdatum: 2024-06-13
    Beschreibung: The Holocene delta deposit (1st terrace) exposure SOB14-A-21 (72.53671°N, 127.98945°E) was sampled on 17 August 2014 North of Sobo-Sise Island in the Lena Delta during the framework of the joint Russian-German Expedition LENA 2014. The surface (top) of the exposure was characterized by mosses and sedges. The exposure itself was predominately sandy with few organic remnants. The top organic layer is thin (1.5 cm) and the active layer depth could not be determined exactly. However, the top 170 cm of the exposure were unfrozen although the thaw front might not only be from the top down but also horizontally due to the nature of the exposure. The exposure was first cleaned with a spade and then sampled with a knife and a hole saw from top to bottom. The entire exposure had a depth of 605 cm whereof the bottom 35 cm consisted of ice. Every 25 cm a sample was collected resulting in 22 samples (20 sediment samples and 2 ice samples). The samples were kept cool during the transport and later analyzed in the laboratory for bulk density, total organic carbon, and total nitrogen with a Vario EL III Elemental Analyzer. Prior to analysis, samples were freeze-dried, homogenized, and ground before measuring the samples with the elemental analyzer. The ice samples were not analyzed.
    Schlagwort(e): Arctic Delta; AWI_Perma; AWI Arctic Land Expedition; Carbon; Carbon, organic, total; Carbon/Nitrogen ratio; Carbon and nitrogen and sulfur (CNS) isotope element analyzer, Elementar, Vario EL III; DATE/TIME; Density, dry bulk; Density, wet bulk; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Description; EXPO; Exposure; Ice content, gravimetric; Ice content, volumetric; LATITUDE; Lena_Delta_Sobo-Byk_2014; Lena Delta; LONGITUDE; Nitrogen; Nitrogen, total; permafrost; Permafrost Research; PETA-CARB; PG-SOB14-A-21; Rapid Permafrost Thaw in a Warming Arctic and Impacts on the Soil Organic Carbon Pool; RU-Land_2014_Lena_Sobo-Byk; Sample, dry mass; Sample, wet mass; Sample code/label; Sample comment; Sample thickness; Sample volume; Sampling; Site; Size fraction 〉 2 mm, gravel; Soil organic carbon storage; Soil total nitrogen storage; Type; Water loss per dry weight
    Materialart: Dataset
    Format: text/tab-separated-values, 480 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 67
    Publikationsdatum: 2024-06-13
    Beschreibung: Foraminiferal shells of the species M. allisonensis from the PETM section of ODP Site 865, Central Pacific, were cast with 3 grains of UWC-3 calcite standard (Kozdon et al., 2009) in the center of a 25 mm round epoxy mount, ground to the level of best exposure, polished, cleaned, and Au-coated. Prior to geochemical analysis, shells were examined by Scanning Electron Microscopy (SEM) to identify subdomains suitable for in-situ d13C and Mg/Ca ratio measurements and to avoid diagenetically altered zones within each shell. In-situ d13C measurements were performed with ~7 µm beam spot size in the WiscSIMS Laboratory at UW-Madison by a CAMECA ims-1280 large radius multicollector ion microprobe) using the protocols described in a previous study (Kozdon et al., 2018). The in-situ d13C microanalyses primarily targeted subdomains located at the base of pustular outgrowths (muricae) along the chamber walls of each shell. Previous studies have shown that these subdomains are less susceptible to post-depositional alteration than the rest of the shell (Kozdon et al., 2011; Kozdon et al., 2013). Between one and five SIMS d13C microanalyses were performed for each shell. Reproducibility of the individual spot analysis of UWC-3 standard (d13C = -0.91‰ V-PDB, Kozdon et al., 2011) bracketing samples is on average 0.7‰ (± 2 SD).
    Schlagwort(e): 143-865C; d13C; DEPTH, sediment/rock; DRILL; Drilling/drill rig; DSDP/ODP/IODP sample designation; Event label; Foraminifera; Hole; Identification; Interval; Joides Resolution; Large radius multicollector ion microprobe, CAMECA, ims-1280; Leg143; Morozovella allisonensis, δ13C; North Pacific Ocean; PETM; Sample code/label; Section; SIMS; Size fraction
    Materialart: Dataset
    Format: text/tab-separated-values, 35 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 68
    Publikationsdatum: 2024-06-13
    Schlagwort(e): ANT-III/2; ANT-VII/5; Atlantis II (1963); BATS; BI-2; BIGSET-1; BIGSET-2/JGOFS-IN-4; Calcium carbonate, flux; Canary Islands; CB1_trap; CB2_trap; CB3_trap; CB4_trap; CI1; CI1_trap; CI10; CI10_trap; CI11; CI11_trap; CI2; CI2_trap; CI3; CI3_trap; CI4; CI4_trap; CI5; CI5_trap; CI6; CI6_trap; CI7; CI7_trap; CI8; CI8_trap; CI9; CI9_trap; compiled data; DATE/TIME; DEPTH, water; EA1_trap; EA2_trap; EA3_trap; EA4_trap; EA5_trap; EBC2; EBC2-1_trap; Event label; GBN3_trap; GBN6_trap; GBZ4_trap; GBZ5_trap; Guinea Basin; IOS_trap_G3; IOS_trap_G4; IOS_trap_J1; IOS_trap_J2; IOS_trap_NJ1; IOS_trap_NJ2; IOS_trap_O3; IOS_trap_O4; IOS_trap_O5; IOS_trap_O6; IOS_trap_S3; IOS_trap_S4; Jan-Mayen Current; John P. Tully; KG1_trap; Latitude of event; Lofoten Basin; Longitude of event; LP1; LP1_trap; M12/1; M16/1; M16/2; M22/1; M6/6; M9/4; Meteor (1986); MOOR; Mooring; Mooring (long time); MOORY; N34-Phase_I; N34-Phase_II; N48-Phase_I; N48-Phase_II; NABE-Mooring; NABE-N34.1; NABE-N34.2; NABE-N48.1; NABE-N48.2; NB6; Northern Guinea Basin; OE90/3; OE90/4; OG4; OG5; ORFOIS; Origin and Fate of Biogenic Particle Fluxes in the Ocean; Polarstern; PS06; PS14; Sargasso Sea; see reference(s); SFB313Moorings; SO118; SO118_ST-01; SO118_ST-01_d; SO118_ST-03; SO118_ST-03_d; SO118_ST-04; SO118_ST-04_d; SO118_ST-05; SO118_ST-05_d; SO129; SO129_ST-01; SO129_ST-01_d; SO129_ST-02a; SO129_ST-03; SO129_ST-03_d; SO129_ST-04; SO129_ST-04_d; SO129_ST-05; Sonne; South Atlantic Ocean; Southwest Guinea Basin; Trap; TRAP; Trap, sediment; TRAPS; TUL94/31; TUL95/30; TUL95/7; TUL96/8; WA1_trap; WA2_trap; Walvis Ridge, Southeast Atlantic Ocean; WR1_trap; WR2_trap; WR3_trap; WR4_trap; WS3_trap; WS4_trap
    Materialart: Dataset
    Format: text/tab-separated-values, 1643 data points
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  • 69
    facet.materialart.
    Unbekannt
    PANGAEA
    Publikationsdatum: 2024-06-13
    Schlagwort(e): Acer aegopodifolium; Acer palaeosaccharinum; Acer sp.; Age, maximum/old; Age, minimum/young; Carpinus grandis; Cotinus sp.; Cunninghamia sp.; Cupressaceae; Environment; Epoch; Eucommia palaeoulmoides; Fagus altaensis; Fagus sp.; Fossil determination; Juglans zaisanica; Kazakhstan, Kustanay District; Krugloye; Lithology/composition/facies; Mediterranean stages; Metasequoia disticha; Metasequoia sp.; NECLIME; NECLIME_campaign; Neogene Climate Evolution in Eurasia; Nyssa sibirica; ORDINAL NUMBER; Periploca graeca; Pinus hampeana; Pterocarya paradisiaca; Quercus castaneaefolia; Quercus sp.; Sequoia abietina; Stage; Stratigraphy; Taxodium dubium; Ulmus carpinoides; Visual description; Zelkova zelkovaefolia
    Materialart: Dataset
    Format: text/tab-separated-values, 30 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 70
    facet.materialart.
    Unbekannt
    PANGAEA
    In:  GEOMAR - Helmholtz Centre for Ocean Research Kiel
    Publikationsdatum: 2024-06-13
    Schlagwort(e): Carbon fixation rate; CTD/Rosette; CTD-002; CTD-003; CTD-008; CTD-009; CTD-010; CTD-025; CTD-026; CTD-035; CTD-036; CTD-043; CTD-051; CTD-052; CTD-064; CTD-067; CTD-071; CTD-078; CTD-085; CTD-086; CTD-093; CTD-094; CTD-RO; DATE/TIME; DEPTH, water; Event label; LATITUDE; LONGITUDE; M91; M91_1713-1; M91_1713-3; M91_1717-1; M91_1718-1; M91_1719-1; M91_1730-1; M91_1731-1; M91_1737-1; M91_1737-3; M91_1743-1; M91_1751-1; M91_1751-3; M91_1759-1; M91_1762-2; M91_1764-8; M91_1768-1; M91_1773-2; M91_1773-3; M91_1777-1; M91_1777-4; Meteor (1986); Nitrogen fixation rate; Sample code/label; SOPRAN; South Pacific Ocean; Surface Ocean Processes in the Anthropocene
    Materialart: Dataset
    Format: text/tab-separated-values, 225 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 71
    Publikationsdatum: 2024-06-13
    Schlagwort(e): AWI Arctic Land Expedition; Carbon, total; Carbon/Nitrogen ratio; Changing Permafrost in the Arctic and its Global Effects in the 21st Century; Density, dry bulk; Drainage; Event label; Ice content; KU-T1-01; KU-T1-02; KU-T1-05; KU-T1-06; KU-T1-07; KU-T1-08; KU-T1-09; KU-T1-10; KU-T2-01; KU-T2-02; KU-T2-03; KU-T2-04; KU-T2-05; KU-T2-06; KU-T2-07; KU-T2-08; KU-T2-09; KU-T2-10; KU-T3-01; KU-T4-01; KU-T4-01b; KU-T4-02; Land cover classes; Landform; Latitude of event; Layer thickness; Lena2013; LF-T1-01; LF-T1-02; LF-T1-03; LF-T1-04; LF-T1-05; LF-T1-06; LF-T1-07; LF-T1-08; LF-T1-09; LF-T1-09b; LF-T1-10; LF-T2-01; LF-T2-01b; LF-T3-01; LF-T3-02; LF-T3-03; LF-T3-04; LF-T4-01; LF-T4-02; LF-T4-03; LF-T4-04; LF-T4-05; LF-T4-06; LF-T4-07b; LF-T4-07c; LF-T4-08; LF-T4-09; LF-T4-10; Longitude of event; MULT; Multiple investigations; Nitrogen, total; PAGE21; RU-Land_2013_Lena; Soil great group; Soil order; Soil organic carbon storage; Soil suborder; Type; USDA soil taxonomy; Water content, dry mass
    Materialart: Dataset
    Format: text/tab-separated-values, 1040 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 72
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    PANGAEA
    In:  Supplement to: Schwamborn, Georg; Rachold, Volker; Grigoriev, Mikhail N (2002): Late Quaternary Sedimentation History of the Lena Delta. Quaternary International, 89(1), 119-134, https://doi.org/10.1016/S1040-6182(01)00084-2
    Publikationsdatum: 2024-06-13
    Beschreibung: Core and outcrop analysis from Lena mouth deposits have been used to reconstruct the Late Quaternary sedimentation history of the Lena Delta. Sediment properties (heavy mineral composition, grain size characteristics, organic carbon content) and age determinations (14C AMS and IR-OSL) are applied to discriminate the main sedimentary units of the three major geomorphic terraces, which form the delta. The development of the terraces is controlled by complex interactions among the following four factors: (1) Channel migration. According to the distribution of 14C and IR-OSL age determinations of Lena mouth sediments, the major river runoff direction shifted from the west during marine isotope stages 5-3 (third terrace deposits) towards the northwest during marine isotope stage 2 and transition to stage 1 (second terrace), to the northeast and east during the Holocene (first terrace deposits). (2) Eustasy. Sea level rise from Last Glacial lowstand to the modern sea level position, reached at 6-5 ka BP, resulted in back-filling and flooding of the palaeovalleys. (3) Neotectonics. The extension of the Arctic Mid-Ocean Ridge into the Laptev Sea shelf acted as a halfgraben, showing dilatation movements with different subsidence rates. From the continent side, differential neotectonics with uplift and transpression in the Siberian coast ridges are active. Both likely have influenced river behavior by providing sites for preservation, with uplift, in particular, allowing accumulation of deposits in the second terrace in the western sector. The actual delta setting comprises only the eastern sector of the Lena Delta. (4) Peat formation. Polygenetic formation of ice-rich peaty sand (''Ice Complex'') was most extensive (7-11 m in thickness) in the southern part of the delta area between 43 and 14 ka BP (third terrace deposits). In recent times, alluvial peat (5-6 m in thickness) is accumulated on top of the deltaic sequences in the eastern sector (first terrace).
    Schlagwort(e): Arga Island; AWI_PerDyn; AWI Arctic Land Expedition; ChekanovskyHighl; HAND; Laptev Sea System; LD00-1316-1; LD00-1316-2; LD00-1316-3; LD98-D01; LD98-D06; LD98-D07; LD98-D08; LD98-D10; LD98-S04; LD98-S05; LD98-S06; Lena-Delta1998; Lena-Delta1999; Lena-Delta2000; LSS; minerals; Nikolay Lake, Lena Delta, Russia; Olenyok Channel; PERM; Permafrost Research (Periglacial Dynamics) @ AWI; PG1440; radiocarbon; RCD; river delta; Rotary core drilling; RU-Land_1998_Lena; RU-Land_1999_Lena; RU-Land_2000_Lena; Samoylov Island, Lena Delta, Siberia; Sampling by hand; Sampling permafrost; Sardakh Channel; Sediment core; sediments; Seismic, shallow profile; SEISS
    Materialart: Dataset
    Format: application/zip, 14 datasets
    Standort Signatur Erwartet Verfügbarkeit
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  • 73
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    Unbekannt
    PANGAEA
    In:  Supplement to: Cortese, Giuseppe; Dunbar, Gavin B; Carter, Lionel; Scott, George H; Bowen, M; Bostock, Helen C; Crundwell, Martin P; Hayward, Bruce William; Howard, William R; Martínez, José Ignacio; Moy, Christopher M; Neil, Helen L; Sabaa, Ashwaq T; Sturm, Arne (2013): Southwest Pacific Ocean response to a warmer world: Insights from Marine Isotope Stage 5e. Paleoceanography, 28(3), 585-598, https://doi.org/10.1002/palo.20052
    Publikationsdatum: 2024-06-13
    Beschreibung: Paleoceanographic archives derived from 17 marine sediment cores reconstruct the response of the Southwest Pacific Ocean to the peak interglacial, Marine Isotope Stage (MIS) 5e (ca. 125 ka). Paleo-Sea Surface Temperature (SST) estimates were obtained from the Random Forest model-an ensemble decision tree tool-applied to core-top planktonic foraminiferal faunas calibrated to modern SSTs. The reconstructed geographic pattern of the SST anomaly (maximum SST between 120 and 132 ka minus mean modern SST) seems to indicate how MIS 5e conditions were generally warmer in the Southwest Pacific, especially in the western Tasman Sea where a strengthened East Australian Current (EAC) likely extended subtropical influence to ca. 45°S off Tasmania. In contrast, the eastern Tasman Sea may have had a modest cooling except around 45°S. The observed pattern resembles that developing under the present warming trend in the region. An increase in wind stress curl over the modern South Pacific is hypothesized to have spun-up the South Pacific Subtropical Gyre, with concurrent increase in subtropical flow in the western boundary currents that include the EAC. However, warmer temperatures along the Subtropical Front and Campbell Plateau to the south suggest that the relative influence of the boundary inflows to eastern New Zealand may have differed in MIS 5e, and these currents may have followed different paths compared to today.
    Materialart: Dataset
    Format: application/zip, 2 datasets
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  • 74
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    Unbekannt
    PANGAEA
    In:  Supplement to: Ragueneau, Olivier; Tréguer, Paul; Leynaert, Aude; Anderson, Robert F; Brzezinski, Mark A; DeMaster, David J; Dugdale, Richard; Dymond, Jack R; Fischer, Gerhard; Francois, Roger; Heinze, Christoph; Maier-Reimer, Ernst; Martin-Jézéquel, Véronique; Nelson, David M; Quéguiner, Bernard (2000): A review of the Si cycle in the modern ocean: recent progress and missing gaps in the application of biogenic opal as a paleoproductivity proxy. Global and Planetary Change, 26(4), 317-365, https://doi.org/10.1016/S0921-8181(00)00052-7
    Publikationsdatum: 2024-06-13
    Beschreibung: Due to the major role played by diatoms in the biological pump of CO2, and to the presence of silica-rich sediments in areas that play a major role in air-sea CO2 exchange (e.g. the Southern Ocean and the Equatorial Pacific), opal has a strong potential as a proxy for paleoproductivity reconstructions. However, because of spatial variations in the biogenic silica preservation, and in the degree of coupling between the marine Si and C biogeochemical cycles, paleoreconstructions are not straitghtforward. A better calibration of this proxy in the modern ocean is required, which needs a good understanding of the mechanisms that control the Si cycle, in close relation to the carbon cycle. This review of the Si cycle in the modern ocean starts with the mechanisms that control the uptake of silicic acid (Si(OH)4) by diatoms and the subsequent silicification processes, the regulatory mechanisms of which are uncoupled. This has strong implications for the direct measurement in the field of the kinetics of Si(OH)4 uptake and diatom growth. It also strongly influences the Si:C ratio within diatoms, clearly linked to environmental conditions. Diatoms tend to dominate new production at marine ergoclines. At depth, they also succeed to form mats, which sedimentation is at the origin of laminated sediments and marine sapropels. The concentration of Si(OH)4 with respect to other macronutrients exerts a major influence on diatom dominance and on the rain ratio between siliceous and calcareous material, which severely impacts surface waters pCO2. A compilation of biogenic fluxes collected at about 40 sites by means of sediment traps also shows a remarkable pattern of increasing BSi:Corg ratio along the path of the "conveyor belt", accompanying the relative enrichment of waters in Si compared to N and P. This observation suggests an extension of the Si pump model described by Dugdale and Wilkerson (1989, doi:10.1038/34630), giving to Si(OH)4 a major role in the control of the rain ratio, which is of major importance in the global carbon cycle. The fate of the BSi produced in surface waters is then described, in relation to Corg, in terms of both dissolution and preservation mechanisms. Difficulties in quantifying the dissolution of biogenic silica in the water column as well as the sinking rates and forms of BSi to the deep, provide evidence for a major gap in our understanding of the mechanisms controlling the competition between retention in and export from surface waters. The relative influences of environmental conditions, seasonality, food web structure or aggregation are however explored. Quantitatively, assuming steady state, the measurements of the opal rain rate by means of sediment traps matches reasonably well those obtained by adding the recycling and burial fluxes in the underlying abyssal sediments, for most of the sites where such a comparison is possible. The major exception is the Southern Ocean where sediment focusing precludes the closing of mass balances. Focusing in fact is also an important aspect of the downward revision of the importance of Southern Ocean sediments in the global biogenic silica accumulation. Qualitatively, little is known about the duration of the transfer through the deep and the quality of the material that reaches the seabed, which is suggested to represent a major gap in our understanding of the processes governing the early diagenesis of BSi in sediments. The sediment composition (special emphasis on Al availability), the sedimentation rate or bioturbation are shown to exert an important control on the competition between dissolution and preservation of BSi in sediments. It is suggested that a primary control on the kinetic and thermodynamic properties of BSi dissolution, both in coastal and abyssal sediments, is exerted by water column processes, either occuring in surface waters during the formation of the frustules, or linked to the transfer of the particles through the water column, which duration may influence the quality of the biogenic rain. This highlights the importance of studying the factors controlling the degree of coupling between pelagic and benthic processes in various regions of the world ocean, and its consequences, not only in terms of benthic biology but also for the constitution of the sediment archive. The last section, first calls for the end of the "NPZD" models, and for the introduction of processes linked to the Si cycle, into models describing the phytoplankton cycles in surface waters and the early diagenesis of BSi in sediments. It also calls for the creation of an integrated 1-D diagnostic model of the Si:C coupling, for a better understanding of the interactions between surface waters, deep waters and the upper sedimentary column. The importance of Si(OH)4 in the control of the rain ratio and the improved parametrization of the Si cycle in the 1-D diagnostic models should lead to a reasonable incorporation of the Si cycle into 3-D regional circulation models and OGCMs, with important implications for climate change studies and paleoreconstructions at regional and global scale.
    Schlagwort(e): Barcelona Coast; ORFOIS; Origin and Fate of Biogenic Particle Fluxes in the Ocean; Pertuis Charentais; Silicon Cycling in the World Ocean; SINOPS; Taranto Mare Piccolo
    Materialart: Dataset
    Format: application/zip, 4 datasets
    Standort Signatur Erwartet Verfügbarkeit
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  • 75
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    Unbekannt
    PANGAEA
    In:  Supplement to: Mix, Alan C; Morey, Ann E; Pisias, Nicklas G; Hostetler, Steven W (1999): Foraminiferal faunal estimates of paleotemperature: Circumventing the no-analog problem yields cool ice age tropics. Paleoceanography, 14(3), 350-359, https://doi.org/10.1029/1999PA900012
    Publikationsdatum: 2024-06-13
    Beschreibung: The sensitivity of the tropics to climate change, particularly the amplitude of glacial-to-interglacial changes in sea surface temperature (SST), is one of the great controversies in paleoclimatology. Here we reassess faunal estimates of ice age SSTs, focusing on the problem of no-analog planktonic foraminiferal assemblages in the equatorial oceans that confounds both classical transfer function and modern analog methods. A new calibration strategy developed here, which uses past variability of species to define robust faunal assemblages, solves the no-analog problem and reveals ice age cooling of 5° to 6°C in the equatorial current systems of the Atlantic and eastern Pacific Oceans. Classical transfer functions underestimated temperature changes in some areas of the tropical oceans because core-top assemblages misrepresented the ice age faunal assemblages. Our finding is consistent with some geochemical estimates and model predictions of greater ice age cooling in the tropics than was inferred by Climate: Long-Range Investigation, Mapping, and Prediction (CLIMAP) [1981] and thus may help to resolve a long-standing controversy. Our new foraminiferal transfer function suggests that such cooling was limited to the equatorial current systems, however, and supports CLIMAP's inference of stability of the subtropical gyre centers.
    Schlagwort(e): 138-846B; A150/180; A152-84; A153-154; A15-547TW; A15-552TW; A15-558; A15-558P; A15-558TW; A15-559FF; A15-572FF; A15-585GC; A15-586TW; A15-590GC; A15-591GC; A15-592FF; A15-596FF; A15-597A; A15-597B; A15-600FF; A15-602FF; A15-612GC; A15-614TW; A15-618GC; A156-4; A157-3; A164-13; A164-15; A164-16; A164-17; A164-23; A164-24; A164-5; A164-6; A164-61; A167-12; A167-13; A167-14; A167-18TW; A167-1TW; A172-1; A172-2; A173-4; A179-13; A179-15; A179-20; A179-24; A179-6; A179-7; A180-13; A180-15; A180-16; A180-20; A180-32; A180-39; A180-47; A180-47PC; A180-48; A180-48PC; A180-56; A180-69; A180-70; A180-72; A180-73; A180-74; A180-76; A180-78; A180-9; A181/185; A181-7; A181-9; A260210A; Agassiz; AH-1; AH-4; AH-5; AH-7; AH-8; All5402P; All5423P; All5424P; All542P; also published as VM28-122; AMPH-005G; AMPH-007PG; AMPH-011P; AMPH-012G; AMPH-013G; AMPH-016G; AMPH-017G; AMPH-019G; AMPH01AR; AMPH-021G; AMPH-022G; AMPH-023G; AMPH-024G; AMPH-107G; AMPH-130G; AMPH-131G; AMPH-132G; AMPH-133G; AMPH-134G; AMPH-135GV; AMPH-137GV; AMPH-138GV; AMPH-139GV; AMPHITRITE; AR1-117; AR1-119; AR1-144; AR2-113; AR2-117; AR2-128; AR2-136; AR3-25; AR3-38; AR3-45; AR4-52; AR4-55; AR4-56; AR4-63; Argo; ARIES; ARIES-046G; ARIES-049G; Atlantic; Atlantic Ocean; Bay of Bengal; BC; Box corer; BRA-262D; BRA-91AD; BRA-91D; BRA-96D; CAP-1BG; CAP-1HG; CAP-2-1BG; CAP-32HG; CAP-3HG; CAP-42-1; CAP-44BG; CAP-48-2; CAP-48HG; CAP-49BG; CAP-4BG; CAP-50HG; CAP-5HG; CAP-6HG; CAP-8-2; CH10098P; CH10-98; CHA-164B; CHA-296; CHA-300; CHA-302; Challenger1872; CHM-5; CHU-23; CHU-23G; CHU-24; CHU-26; CHU-30; CHU-X1; CIRCE; CIRCE-21; CIRCE-239; CIRCE-24; CIRCE-26; CIRCE-27; CIRCE-32; CIRCE-36; CIRCE-38; CIRCE-42; CIRCE-44; CUS-3G; DIS-385D; DIS-386D; DODO; DODO-117PG; DODO-119PG; DODO-126P; DODO-126PG; DODO-144G; DODO-173G; DODO-191; DODO-192G; DODO-193; DODO-195G; DODO-197; DODO-200V; DODO-201G; DODO-202V; DODO-204; DODO-220V; DRILL; Drilling/drill rig; DW010; DW013; DW034; DW035; DW036; DW048; DW050; DW058; DW089; DW137; DW147B; DWD-100B; DWD-108B; DWD-10BG; DWD-10HH; DWD-11BG; DWD-12BG; DWD-12HH; DWD-137G; DWD-13BG; DWD-13HH; DWD-143; DWD-147B; DWD-149; DWD-15BG; DWD-16BG; DWD-34HG; DWD-35HH; DWD-36HG; DWD-46BG; DWD-47B; DWD-47BG; DWD-48BG; DWD-48HG; DWD-49BG; DWD-50HG; DWD-54HG; DWD-56BG; DWD-56HG; DWD-58BG; DWD-58HH; DWD-59BG; DWD-60BG; DWD-61BG; DWD-62BG; DWD-63BG; DWD-64BG; DWD-68BG; DWD-70BG; DWD-71BG; DWD-73BG; DWD-74BG; DWD-75BG; DWD-76BG; DWD-77BG; DWD-78BG; DWD-79BG; DWD-83BG; DWD-89HH; DWD-89HH-2; DWD-93BG; East Atlantic; Eastern Equatorial Pacific; ELT11.010; ELT11.064; ELT11.089; ELT-1101; ELT-1110; ELT-1164; ELT-1189; ELT-1246; ELT-1271; ELT44; ELT44.027-PC; ELT45; ELT45.027-PC; ELT45.029-PC; ELT45.070-PC; ELT45.073-PC; ELT45.077-PC; ELT45.078-PC; ELT45.081-PC; ELT48; ELT48.003-PC; ELT48.011-PC; ELT48.022-PC; ELT48.023-PC; ELT48.027-PC; ELT49; ELT49.022-PC; ELT49.023-PC; ELT49.024-PC; ELT49.025-PC; Eltanin; ELT-C100; EN06601; EN066-10GGC; Endeavor; EQA-27; FANHMS2G; FANHMS4G; FFC; Free fall corer; GC; GIK12392-1; Grab; GRAB; Gravity corer; H.M.S. Challenger (1872); Horizon; Indian Ocean; JAPANYON; Joides Resolution; JSB-5P; JSB-6P; JYN2; JYN2-007G; JYN5-019G; K708-001; K708-004; K708-006; K708-007; K708-008; K714-3; KAL; Kasten corer; KM1-41; KNR073-04-003; KNR733P; Knr735P; KNR735P; Leg138; LFGS; LFGS-36G; LFGS-38G; LFGS-45G; LSDA; LSDA-103V; LSDA-106G; LSDA-107GA; LSDA-113G; LSDA-117G; LSDA-128G; LSDA-136G; LSDA-SCS; LSDA-SCS-002G; LSDA-SCS-003G; LSDA-SCS-006G; LSDA-SCS-008G; LSDA-SCS-009G; LSDA-SCS-013D; LSDH; LSDH-009G; LSDH-025V; LSDH-038V; LSDH-076PG; LSDH-077G; LSDH-078PG; LSDH-079P; LSDH-079PG; LSDH-080G; LSDH09; LSDH-093PG; LSDH-104G; LUSIAD-9; LUSIAD-A; LUSIAD-H; M12392-1; M25; M70-68; M70-PC-49; M70-PC-61; Marion Dufresne (1972); MD10; MD13; MD76-131; MD76-132; MD76-135; MD77-168; MD77-169; MD77-170; MD77-171; MD77-174; MD77-176; MD77-179; MD77-180; MD77-181; MD77-185; MD77-191; MD77-194; MD77-196; MD77-199; MD77-202; MD77-203; MD77-204; MDPC03HO-043K; Melville; MEN; MEN-08G; MEN-11G; MEN-12G; Meteor (1964); MIDPAC; MONS01AR-MONS08AR; MONSOON; MPC-0-1; MPC-0-2; MPC-10-1; MPC-1-1; MPC-11-1; MPC-43K; MPC-45; MSN-100G; MSN-103P; MSN-104P; MSN-109P; MSN-10G; MSN-135P; MSN-136G; MSN-137P; MSN-138P; MSN-141G; MSN-14G; MSN-45G; MSN-52G; MSN-55G; MSN-56PG; MSN-63G; MSN-90G; MSN-93G; mt1-gyre; MT1-gyre; mt1-mid; MT1-mid; mt1-nrsh; MT1-nrsh; MUK-19BP; MUK-20BP; MUK-27HG; NEL-394D; NZO-A106; NZO-A181; NZO-A315; OSIRIS II; OSIRIS III; Pacific Ocean; PAP-127V; PAP-14; PAP-19; PC; Piston corer; PLDS-001G; PLDS-1; Pleiades; PROA; PROA-011P; PROA-079PG; PROA-083PG; PROA-084PG; PROA-085PG-1; PROA-086P; PROA-086PG; PROA-087PG; PROA-088PG; PROA-089PG; PROA-103PG; PROA-118G; PROA-122G; PROA-124G1; PROA-146G; PROA-147G; PROA-149G; PROA-151G; PROA-155G; PROA-156G; PROA-160G; RC0-113; RC0-117; RC0-121; RC08; RC08-102; RC08-103; RC08-145; RC08-16; RC08-18; RC08-22; RC08-23; RC08-27; RC08-28; RC08-39; RC08-40; RC08-41; RC08-46; RC08-50; RC08-53; RC08-60; RC08-61; RC08-62; RC08-63; RC08-94; RC09; RC09-124; RC09-126; RC09-139; RC09-14; RC09-143; RC09-150; RC09-155; RC09-160; RC09-161; RC09-162; RC09-163; RC09-212; RC09-222; RC09-225; RC09-49; RC09-61; RC09-67; RC10; RC10-114; RC10-139; RC10-140; RC10-141; RC10-142; RC10-143; RC10-146; RC10-161; RC10-162; RC10-172; RC10-175; RC10-176; RC10-22; RC10-49; RC10-50; RC10-52; RC10-53; RC10-54; RC10-56; RC10-62; RC10-64; RC10-97; RC11; RC11-10; RC11-103; RC11-106; RC11-11; RC11-111; RC11-116; RC11-117; RC1112; RC11-12; RC11-120; RC11-121; RC11-122; RC11-128; RC11-13; RC11-134; RC11-138; RC11-139; RC11-14; RC11-141; RC11-145; RC11-146; RC11-147; RC11-15; RC11-16; RC11-160; RC11-162; RC11-21; RC11-210; RC11-213; RC11-22; RC11-220; RC11-230; RC11-238; RC11-255; RC11-26; RC11-260; RC11-35; RC11-37; RC11-78; RC11-79; RC11-80; RC11-86; RC11-9; RC12; RC12-107; RC12-121; RC12-138; RC12-139; RC12-143; RC12-146; RC12-233; RC12-234; RC12-235; RC12-241; RC12-266; RC12-268; RC12-291; RC12-292; RC12-293; RC12-294; RC12-297; RC12-298; RC12-299; RC12-300; RC12-303; RC12-304; RC12-328; RC12-33; RC12-330; RC12-331; RC12-332; RC12-333; RC12-335; RC12-339; RC12-340; RC12-341; RC12-342; RC12-343; RC12-344; RC12-347; RC12-350; RC12-361; RC12-365; RC12-366; RC12-417; RC12-418; RC12-45; RC13; RC13-108; RC13-110; RC13-113; RC13-115; RC13-122; RC13-136; RC13-138; RC13-140; RC13-151; RC13-152; RC13-153; RC13-158; RC13-159; RC13-17; RC13-184; RC13-189; RC13-190; RC13-195; RC13-196; RC13-197; RC13-199; RC13-205; RC13-209; RC13-210; RC13-227; RC13-229; RC13-242; RC13-253; RC13-275; RC13-81; RC14; RC14-29; RC14-31; RC14-31TW; RC14-33; RC14-33TW; RC14-34; RC14-34TW; RC14-35; RC14-35TW; RC14-36; RC14-37; RC14-37TW; RC14-39; RC14-39TW; RC14-44; RC14-44TW; RC14-7; RC14-79TW; RC14-9; RC14-92; RC14-93; RC14-94; RC14-97; RC15; RC15-115; RC15-143; RC15-145; RC15-151; RC15-91; RC15-93; RC15-94; RC17; RC17-101; RC17-102; RC17-103; RC17-104; RC17-105; RC17-110; RC17-113; RC17-114; RC17-116; RC17-121; RC17-123; RC17-125; RC17-126; RC17-127; RC17-132; RC17-142; RC17-144; RC17-145; RC17-176; RC17-177; RC17-178; RC17-69; RC17-73; RC17-98; RC18; RC18-47; RC24; RC24-1; RC24-16; RC24-27; RC24-7; RE009-7; RE010-002; RE5-034; RE5-036; RE5-054; RE5-057; RIS-101; RIS-103; RIS-104; RIS-105; RIS-106; RIS-108; RIS-121V; RIS-14; RIS-15G; RIS-17; RIS-17G; RIS-21G; RIS-24; RIS-29G; RIS-32; RIS-33; RIS-34; RIS-35; RIS-51G; Robert Conrad; SCAN; SCAN-015P; SCAN-022PG; SCAN-023PG; SCAN-025G; SCAN-026G; SCAN-027G; SCAN-028G; SCAN-059P; SCAN-065G; SCAN-066G; SCAN-067G; SCAN-068G; SCAN-082P; SCAN-083P; SCAN-084P; SCAN-084PG; SCAN-085P; SCAN-086P; SCAN-087P; SCAN-088P; SCAN-088PG; SCAN-091G; SCAN-094P; SCAN-095G; SCAN-096P; SDS-93P; SDS-95P; SDS-97P; SDS-98P; SOB; SOB-009G; SOB-026GA; SOB-031GA; South Atlantic Ocean; Southern Borderland; South Pacific Ocean; SP008-004; SP009-003; SP010-005; Spencer F. Baird; Stranger; STYX_III; STYX_IX; STYX03AZ; STYX09AZ; STYXIII-75G; STYXIII-77P; STYXIII-80FF-34; STYXIII-81FF-41; STYXIII-81FF-44;
    Materialart: Dataset
    Format: application/zip, 14 datasets
    Standort Signatur Erwartet Verfügbarkeit
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  • 76
    facet.materialart.
    Unbekannt
    PANGAEA
    In:  Supplement to: Munz, Philipp; Siccha, Michael; Lückge, Andreas; Böll, Anna; Kucera, Michal; Schulz, Hartmut (2015): Decadal-resolution record of winter monsoon intensity over the last two millennia from planktic foraminiferal assemblages in the northeastern Arabian Sea. The Holocene, 25(11), 1756-1771, https://doi.org/10.1177/0959683615591357
    Publikationsdatum: 2024-06-13
    Beschreibung: The Indian monsoon system is an important climate feature of the northern Indian Ocean. Small variations of the wind and precipitation patterns have fundamental influence on the societal, agricultural, and economic development of India and its neighboring countries. To understand current trends, sensitivity to forcing, or natural variation, records beyond the instrumental period are needed. However, high-resolution archives of past winter monsoon variability are scarce. One potential archive of such records are marine sediments deposited on the continental slope in the NE Arabian Sea, an area where present-day conditions are dominated by the winter monsoon. In this region, winter monsoon conditions lead to distinctive changes in surface water properties, affecting marine plankton communities that are deposited in the sediment. Using planktic foraminifera as a sensitive and well-preserved plankton group, we first characterize the response of their species distribution on environmental gradients from a dataset of surface sediment samples in the tropical and sub-tropical Indian Ocean. Transfer functions for quantitative paleoenvironmental reconstructions were applied to a decadal-scale record of assemblage counts from the Pakistan Margin spanning the last 2000 years. The reconstructed temperature record reveals an intensification of winter monsoon intensity near the year 100 CE. Prior to this transition, winter temperatures were 〉1.5°C warmer than today. Conditions similar to the present seem to have established after 450 CE, interrupted by a singular event near 950 CE with warmer temperatures and accordingly weak winter monsoon. Frequency analysis revealed significant 75-, 40-, and 37-year cycles, which are known from decadal- to centennial-scale resolution records of Indian summer monsoon variability and interpreted as solar irradiance forcing. Our first independent record of Indian winter monsoon activity confirms that winter and summer monsoons were modulated on the same frequency bands and thus indicates that both monsoon systems are likely controlled by the same driving force.
    Materialart: Dataset
    Format: application/zip, 5 datasets
    Standort Signatur Erwartet Verfügbarkeit
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  • 77
    facet.materialart.
    Unbekannt
    PANGAEA
    In:  Supplement to: Zubrzycki, Sebastian; Kutzbach, Lars; Grosse, Guido; Desyatkin, Alexey; Pfeiffer, Eva-Maria (2013): Organic carbon and total nitrogen stocks in soils of the Lena River Delta. Biogeosciences, 10(6), 3507-3524, https://doi.org/10.5194/bg-10-3507-2013
    Publikationsdatum: 2024-06-13
    Beschreibung: The Lena River Delta, which is the largest delta in the Arctic, extends over an area of 32 000 km**2 and likely holds more than half of the entire soil organic carbon (SOC) mass stored in the seven major deltas in the northern permafrost regions. The geomorphic units of the Lena River Delta which were formed by true deltaic sedimentation processes are a Holocene river terrace and the active floodplains. Their mean SOC stocks for the upper 1 m of soils were estimated at 29 kg/m**2 ± 10 kg/m**2 and at 14 kg/m**2 ± 7 kg/m**2, respectively. For the depth of 1 m, the total SOC pool of the Holocene river terrace was estimated at 121 Tg ± 43 Tg, and the SOC pool of the active floodplains was estimated at 120 Tg ± 66 Tg. The mass of SOC stored within the observed seasonally thawed active layer was estimated at about 127 Tg assuming an average maximum active layer depth of 50 cm. The SOC mass which is stored in the perennially frozen ground at the increment 50-100 cm soil depth, which is currently excluded from intense biogeochemical exchange with the atmosphere, was estimated at 113 Tg. The mean nitrogen (N) stocks for the upper 1 m of soils were estimated at 1.2 kg/m**2 ± 0.4 kg/m**2 for the Holocene river terrace and at 0.9 kg/m**2 ± 0.4 kg/m**2 for the active floodplain levels, respectively. For the depth of 1 m, the total N pool of the river terrace was estimated at 4.8 Tg ± 1.5 Tg, and the total N pool of the floodplains was estimated at 7.7 Tg ± 3.6 Tg. Considering the projections for deepening of the seasonally thawed active layer up to 120 cm in the Lena River Delta region within the 21st century, these large carbon and nitrogen stocks could become increasingly available for decomposition and mineralization processes.
    Materialart: Dataset
    Format: application/zip, 29 datasets
    Standort Signatur Erwartet Verfügbarkeit
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  • 78
    facet.materialart.
    Unbekannt
    PANGAEA
    In:  Supplement to: Ismar, Stefanie M; Raubenheimer, David; Bury, Sarah; Millar, Craig D; Hauber, Mark E (2017): Sex-specific foraging during parental care in a size-monomorphic seabird, the Australasian Gannet (Morus serrator). Wilson Journal of Ornithology, 129(1), 139-147, https://doi.org/10.1676/1559-4491-129.1.139
    Publikationsdatum: 2024-06-13
    Beschreibung: Sex differences in foraging behaviour are typically studied in size-dimorphic taxa. Data on sex-specific behavior in monomorphic taxa are needed to test theories of reproductive investment. It has been suggested that in seabirds foraging niche separation may be related to decreased intersexual competition for food between cooperating pair-bonded individuals. Alternatively, sex differences in foraging niches may be driven by different nutritional requirements of females associated with the reproductive costs of egg production and oviposition. To assess these possibilities, we studied a size-monomorphic colonial seabird, the Australasian Gannet (Morus serrator) at the Cape Kidnappers gannetry, New Zealand. We recorded maximum dive depths, and distinct diet composition of incubating females as indicated by stable isotopic signatures. Results suggested greater female foraging effort during early times of incubation, indicated by significantly deeper maximum dives. Sex-specific foraging patterns across other breeding stages were more variable. Nitrogen stable isotopic values showed that incubating females occupied a different trophic position compared to males at the same breeding stage, and also from those of gannets of both sexes at later stages of parental care. Overall, the data are consistent with cost-of-oviposition compensation in females necessitating male-bias in parental care in biparental breeders. Further research is needed to unravel the implications for the evolution of sex differences in behavior in this and other monomorphic taxa.
    Materialart: Dataset
    Format: application/zip, 3 datasets
    Standort Signatur Erwartet Verfügbarkeit
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  • 79
    facet.materialart.
    Unbekannt
    PANGAEA
    In:  GEOMAR - Helmholtz Centre for Ocean Research Kiel | Supplement to: Löscher, Carolin R; Bourbonnais, Annie; Dekaezemacker, Julien; Charoenpong, Chawalit N; Altabet, Mark A; Bange, Hermann Werner; Czeschel, Rena; Hoffmann, Chris; Schmitz, Ruth A (2016): N2 fixation in eddies of the eastern tropical South Pacific Ocean. Biogeosciences, 13(10), 2889-2899, https://doi.org/10.5194/bg-13-2889-2016
    Publikationsdatum: 2024-06-13
    Beschreibung: Mesoscale eddies play a major role in controlling ocean biogeochemistry. By impacting nutrient availability and water column ventilation, they are of critical importance for oceanic primary production. In the eastern tropical South Pacific Ocean off Peru, where a large and persistent oxygen-deficient zone is present, mesoscale processes have been reported to occur frequently. However, investigations into their biological activity are mostly based on model simulations, and direct measurements of carbon and dinitrogen (N2) fixation are scarce. We examined an open-ocean cyclonic eddy and two anticyclonic mode water eddies: a coastal one and an open-ocean one in the waters off Peru along a section at 16°S in austral summer 2012. Molecular data and bioassay incubations point towards a difference between the active diazotrophic communities present in the cyclonic eddy and the anticyclonic mode water eddies. In the cyclonic eddy, highest rates of N2 fixation were measured in surface waters but no N2 fixation signal was detected at intermediate water depths. In contrast, both anticyclonic mode water eddies showed pronounced maxima in N2 fixation below the euphotic zone as evidenced by rate measurements and geochemical data. N2 fixation and carbon (C) fixation were higher in the young coastal mode water eddy compared to the older offshore mode water eddy. A co-occurrence between N2 fixation and biogenic N2, an indicator for N loss, indicated a link between N loss and N2 fixation in the mode water eddies, which was not observed for the cyclonic eddy. The comparison of two consecutive surveys of the coastal mode water eddy in November 2012 and December 2012 also revealed a reduction in N2 and C fixation at intermediate depths along with a reduction in chlorophyll by half, mirroring an aging effect in this eddy. Our data indicate an important role for anticyclonic mode water eddies in stimulating N2 fixation and thus supplying N offshore.
    Schlagwort(e): SOPRAN; Surface Ocean Processes in the Anthropocene
    Materialart: Dataset
    Format: application/zip, 3 datasets
    Standort Signatur Erwartet Verfügbarkeit
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  • 80
    facet.materialart.
    Unbekannt
    PANGAEA
    In:  Department of Physical Geography, University of Stockholm | Supplement to: Siewert, Matthias Benjamin; Hugelius, Gustaf; Heim, Birgit; Faucherre, Samuel (2016): Landscape controls and vertical variability of soil organic carbon storage in permafrost-affected soils of the Lena River Delta. CATENA, 147, 725-741, https://doi.org/10.1016/j.catena.2016.07.048
    Publikationsdatum: 2024-06-13
    Beschreibung: To project the future development of the soil organic carbon (SOC) storage in permafrost environments, the spatial and vertical distribution of key soil properties and their landscape controls needs to be understood. This article reports findings from the Arctic Lena River Delta where we sampled 50 soil pedons. These were classified according to the U.S.D.A. Soil Taxonomy and fall mostly into the Gelisol soil order used for permafrost-affected soils. Soil profiles have been sampled for the active layer (mean depth 58 ± 10 cm) and the upper permafrost to one meter depth. We analyze SOC stocks and key soil properties, i.e. C%, N%, C/N, bulk density, visible ice and water content. These are compared for different landscape groupings of pedons according to geomorphology, soil and land cover and for different vertical depth increments. High vertical resolution plots are used to understand soil development. These show that SOC storage can be highly variable with depth. We recommend the treatment of permafrost-affected soils according to subdivisions into: the surface organic layer, mineral subsoil in the active layer, organic enriched cryoturbated or buried horizons and the mineral subsoil in the permafrost. The major geomorphological units of a subregion of the Lena River Delta were mapped with a land form classification using a data-fusion approach of optical satellite imagery and digital elevation data to upscale SOC storage. Landscape mean SOC storage is estimated to 19.2 ± 2.0 kg C/m**2. Our results show that the geomorphological setting explains more soil variability than soil taxonomy classes or vegetation cover. The soils from the oldest, Pleistocene aged, unit of the delta store the highest amount of SOC per m2 followed by the Holocene river terrace. The Pleistocene terrace affected by thermal-degradation, the recent floodplain and bare alluvial sediments store considerably less SOC in descending order.
    Schlagwort(e): Changing Permafrost in the Arctic and its Global Effects in the 21st Century; PAGE21
    Materialart: Dataset
    Format: application/zip, 2 datasets
    Standort Signatur Erwartet Verfügbarkeit
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  • 81
    Publikationsdatum: 2024-06-13
    Beschreibung: This data collection presents the compilation of scientific results of the EU project BENGAL.
    Schlagwort(e): 12812-002; 12913-002; 12914-003; 12923-002; 12923-005; 12923-013; 12925-004; 12925-008; 12926-001; 12926-002; 12930-004; 12930-005; 12930-006; 12930-007; 12930-010; 12930-014; 12930-015; 12930-017; 12930-018; 12930-022; 12930-023; 12930-025; 12930-026; 12930-027; 12930-028; 12930-029; 12930-032; 12930-034; 12930-035; 12930-036; 12930-037; 12930-038; 12930-039; 12930-040; 12930-044; 12930-045; 12930-046; 12930-048; 12930-049; 12930-052; 12930-055; 12930-059; 12930-061; 12930-063; 12930-064; 12930-065; 12930-066; 12930-068; 12930-071; 12930-073; 12930-075; 12930-078; 12930-081; 12930-082; 12930-084; 12930-087; 12930-093; 12930-095; 13077-001; 13077-004; 13077-006; 13077-012; 13077-014; 13077-015; 13077-018; 13077-019; 13077-021; 13077-023; 13077-024; 13077-025; 13077-026; 13077-035; 13077-036; 13077-047; 13077-057; 13077-058; 13077-059; 13077-060; 13077-062; 13077-063; 13077-065; 13077-069; 13077-070; 13077-071; 13077-072; 13077-078; 13077-087; 13077-089; 13077-090; 13077-093; 13077-096; 13077-097; 13077-098; 13077-099; 13078-006; 13078-008; 13078-010; 13078-011; 13078-012; 13078-013; 13078-015; 13078-016; 13078-017; 13078-018; 13078-019; 13078-027; 13078-029; 13078-031; 13078-037; 13078-038; 13200-001; 13200-004; 13200-005; 13200-007; 13200-008; 13200-009; 13200-010; 13200-011; 13200-012; 13200-016; 13200-017; 13200-018; 13200-020; 13200-021; 13200-022; 13200-024; 13200-025; 13200-026; 13200-027; 13200-028; 13200-029; 13200-030; 13200-032; 13200-033; 13200-035; 13200-036; 13200-039; 13200-041; 13200-045; 13200-046; 13200-047; 13200-048; 13200-049; 13200-051; 13200-052; 13200-053; 13200-058; 13200-059; 13200-060; 13200-061; 13200-062; 13200-063; 13200-065; 13200-068; 13200-069; 13200-070; 13200-071; 13200-073; 13200-074; 13200-075; 13200-077; 13200-078; 13200-080; 13200-081; 13200-082; 13200-083; 13200-084; 13200-087; 13200-089; 13200-090; 13200-091; 13200-093; 13200-094; 13200-096; 13200-099; 13201-001; 13201-002; 13201-005; 13368-003; 13368-004; 13368-007; 13368-008; 13368-012; 13368-014; 13368-015; 13368-019; 13368-022; 13368-023; 13368-024; 13368-025; 13368-026; 13368-028; 13368-030; 13368-036; 13368-039; 13368-040; 13368-042; 13368-044; 13368-045; 13368-047; 13368-048; 13368-049; 13368-051; 13368-052; 13368-053; 13368-055; 13368-056; 13368-057; 13370-004; 13370-005; 13370-006; 13627-005; 13627-008; 13627-010; 13627-011; 13627-012; 13627-014; 13627-015; 13627-017; 13627-022; 13627-023; 13627-024; 269; 356; 362; 372; 373; 54301-002; 54301-003; 54301-005; 54301-008; 54301-009; 54301-010; 54301-012; 54301-014; 54301-016; 54301-019; 54301-021; 54301-023; 64PE123; ALBEX lander; Autonome colonisation module; Baited free-fall benthic amphipod trap; BC; Bengal; BENGAL; Benthic Biology and Geochemistry of a North-eastern Atlantic Abyssal Locality; BIO; Biology; BN; Bottom net; Bottom water sampler; Box corer; BWS; CH135; Challenger; Chalut à perche (6 m beam trawl); CMA; CP; CTD/Rosette; CTD-RO; Current meter, Aanderaa; D217; D222/1; D222/2; D226; D229; D231; D236; D237; DEMAR; DI236_08-1; DI236_11-1; DI236_16-1; DI236_18-1; DI236_21-1; DI236_23-1; DI236_25-1; DI236_28-1; DI236_29-1; DI236_31-1; DI236_34-1; DI236_42-1; DI236_45-1; DI236_49-1; Discovery (1962); D-MOC-01; D-MOC-02; D-MOC-03; D-MOC-04; D-MOC-07; Dy222_FFR-05; FFR; FFR-01; FFR-02; FFR-04; Free vehicle respirometer; FT-04; FTS; GBGL; GBGL-01; GBGL-02; Göteborg lander; IMBC; IMBC lander; KASTEN; Kasten corer (1 m**2); M36/4; M36/4_MC1; M36/4_MC4; M36/4_MC5; M36/5; M36/5_MC26; M36/5_MC27; M36/5_MC28; M36/6; M36/6_368FFR; M36/6_371BWS; M36/6_372MUC; M36/6_373MUC; M36/6_375MSN; M36/6_380MSN; M36/6_381BWS; M36/6_BWS-19; M36/6_BWS-20; M36/6_MC33; M36/6_MC38; M36/6_MC41; M42/2; M42/2_363-1; M42/2_365; M42/2_366; M42/2_367; M42/2_368-2; M42/2_368-3; M42/2_370; M42/2_373; M42/2_374-2; M42/2_374-3; M42/2_377-1; M42/2_377-5; M42/2_377-6; M42/2_380-2; M42/2_380-3; M42/2_380-4; M42/2_381; M42/2_384-1; M42/2_385; M42/2_386; M42/2_388-1; M42/2_388-2; M42/2_391-2; M42/2_397-1; M42/2_397-3; M42/2_417; M42/2_418; M42/2_419; M42/2_420; M42/2_421-2; M42/2_421-3; M42/2_421-5; M42/2_422; M42/2_424-1; M42/2_424-2; M42/2_424-4; M42/2_425; M42/2_426-2; M42/2_429-1; M42/2_429-2; M42/2_430; M42/2_432-1; M42/2_433; M42/2_434-1; M42/2_434-2; M42/2_436; M42/2_438; M42/2_BWS-01; M42/2_BWS-02; M42/2_BWS-04; M42/2_BWS-05; M42/2_BWS-09; M42/2_BWS-10; M42/2_BWS-12; M42/2_CTD-03; M42/2_CTD-05; M42/2_CTD-06; M42/2_CTD-07; M42/2_CTD-08; M42/2_CTD-09; M42/2_CTD-13; M42/2_CTD-22; M42/2_CTD-24; M42/2_CTD-25; M42/2_CTD-28; M42/2_CTD-29; M42/2_CTD-31; M42/2_MC-04; M42/2_MC-09; M42/2_MC1; M42/2_MC2; M42/2_MC27; M42/2_MC28; M42/2_MC29; M42/2_MC-30; M42/2_MC31; M42/2_MC-32; M42/2_MC34; M42/2_MC-34; M42/2_MC4; M42/2_MC5; M42/2_MC6; M42/2_MC7; M42/2_MC8; MACOL; MCB57; MCB57-74; MCB92; MCS; MEGAC; MegaCorer; Meteor (1986); MOC; MOC1; MOCNESS opening/closing plankton net; MOCNESS opening/closing plankton net 1 sqm; MSN; MUC; MULT; MultiCorer; MultiCorer, small; MultiCorer Barnett pattern (12-57); MultiCorer Barnett pattern (4-57.8-74); MultiCorer Barnett pattern (8-92); Multiple investigations; Multiple opening/closing net; NIOZL; OTSB14; PAP; PAP-XIX; PAP-XV; PAP-XVIII; PAP-XX; PAP-XXIIIa; Pelagia; Photo sledge; PLG123; PLG123/12-1; PLG123/13-2; PLG123/13-3; PLG123/13-5; PLG123/13-6; PLG123/13-7; PLG123/14-1; Porcupine Abyssal Plain; RESP; Respirometer; RK127; RK128; RK130; SAPS; Sediment profile imagery; Semi-balloon trawl; SEP; South Atlantic Ocean; Spade box corer; Stand-alone pumps; Trap, sediment; TRAPS; VEGBOXC; Vertical amphipod trap; VET
    Materialart: Dataset
    Format: application/zip, 515 datasets
    Standort Signatur Erwartet Verfügbarkeit
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  • 82
    facet.materialart.
    Unbekannt
    PANGAEA
    In:  Environmental and Marine Biology, Åbo Akademi University | Supplement to: Almén, Anna-Karin; Brutemark, Andreas; Jutfelt, Fredrik; Riebesell, Ulf; Engström-Öst, Jonna (2017): Ocean acidification causes no detectable effect on swimming activity and body size in a common copepod. Hydrobiologia, 802(1), 235-243, https://doi.org/10.1007/s10750-017-3273-5
    Publikationsdatum: 2024-06-13
    Beschreibung: Ocean acidification can impair an animal's physiological performance and energetically demand- ing activities such as swimming. Behavioural abnor- malities and changed activity in response to ocean acidification are reported in fish and crustacean species. We studied swimming activity in the calanoid copepod Pseudocalanus acuspes in response to near- future ocean acidification. Water and copepods were sampled from ten mesocosms deployed on the Swedish west coast. The experiments were conducted on animals reared in the mesocosms for 2 months during spring. Copepods were filmed after long-term (chronic) high-CO2, and after 20 h acute exposure to CO2. There was no significant effect of CO2 on copepods in chronic high-CO2, nor significant effect after the 20 h acute exposure. In addition, we measured prosome length from a large number of adult copepods, but no effect of acidification on body size was found. In this study, P. acuspes did not show sensitivity to near-future pCO2 levels. Even if a number of papers suggest that copepods seem robust to future ocean acidification, interaction between multiple stress factors, such as elevated temperature, hypoxia and salinity changes may impair a copepod's ability to resist lowered pH.
    Schlagwort(e): BIOACID; Biological Impacts of Ocean Acidification
    Materialart: Dataset
    Format: application/zip, 4 datasets
    Standort Signatur Erwartet Verfügbarkeit
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  • 83
    facet.materialart.
    Unbekannt
    PANGAEA
    In:  Supplement to: Vehmaa, Anu; Almén, Anna-Karin; Brutemark, Andreas; Paul, Allanah Joy; Riebesell, Ulf; Furuhagen, Sara; Engström-Öst, Jonna (2016): Ocean acidification challenges copepod phenotypic plasticity. Biogeosciences, 13(22), 6171-6182, https://doi.org/10.5194/bg-13-6171-2016
    Publikationsdatum: 2024-06-13
    Beschreibung: Ocean acidification is challenging phenotypic plasticity of individuals and populations. Calanoid copepods (zooplankton) are shown to be fairly plastic against altered pH conditions, and laboratory studies indicate that transgenerational effects are one mechanism behind this plasticity. We studied phenotypic plasticity of the copepod Acartia sp. in the course of a pelagic, large-volume mesocosm study that was conducted to investigate ecosystem and biogeochemical responses to ocean acidification. We measured copepod egg production rate, egg-hatching success, adult female size and adult female antioxidant capacity (ORAC) as a function of acidification (fCO2 ~ 365-1231 µatm) and as a function of quantity and quality of their diet. We used an egg transplant experiment to reveal whether transgenerational effects can alleviate the possible negative effects of ocean acidification on offspring development. We found significant negative effects of ocean acidification on adult female size. In addition, we found signs of a possible threshold at high fCO2, above which adaptive maternal effects cannot alleviate the negative effects of acidification on egg-hatching and nauplii development. We did not find support for the hypothesis that insufficient food quantity (total particulate carbon 〈 55 µm) or quality (C : N) weakens the transgenerational effects. However, females with high-ORAC-produced eggs with high hatching success. Overall, these results indicate that Acartia sp. could be affected by projected near-future CO2 levels.
    Schlagwort(e): BIOACID; Biological Impacts of Ocean Acidification
    Materialart: Dataset
    Format: application/zip, 3 datasets
    Standort Signatur Erwartet Verfügbarkeit
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  • 84
    facet.materialart.
    Unbekannt
    PANGAEA
    In:  Supplement to: Fuchs, Matthias; Grosse, Guido; Strauss, Jens; Günther, Frank; Grigoriev, Mikhail N; Maximov, Georgy M; Hugelius, Gustaf (2018): Carbon and nitrogen pools in thermokarst-affected permafrost landscapes in Arctic Siberia. Biogeosciences, 15(3), 953-971, https://doi.org/10.5194/bg-15-953-2018
    Publikationsdatum: 2024-06-13
    Beschreibung: Ice rich Yedoma-dominated landscapes store considerable amounts of organic carbon (C) and nitrogen (N) and are vulnerable to degradation under climate warming. We investigate the C and N pools in two thermokarst-affected Yedoma landscapes - on Sobo-Sise Island and on Bykovsky Peninsula in the North of East Siberia. Soil cores up to three meters depth were collected along geomorphic gradients and analysed for organic C and N contents. A high vertical sampling density in the profiles allowed the calculation of C and N stocks for short soil column intervals and enhanced understanding of within-core parameter variability. Profile-level C and N stocks were scaled to the landscape level based on landform classifications from five-meter resolution, multispectral RapidEye satellite imagery. Mean landscape C and N storage in the first meter of soil for Sobo-Sise Island is estimated to be 20.2 kg C/m**-2 and 1.8 kg N/m**-2 and for Bykovsky Peninsula 25.9 kg C/m**-2 and 2.2 kg N/m**-2. Radiocarbon dating demonstrates the Holocene age of thermokarst basin deposits but also suggests the presence of thick Holocene aged cover layers which can reach up to two meters on top of intact Yedoma landforms. Reconstructed sedimentation rates of 0.10 mm/yr - 0.57 mm/yr suggest sustained mineral soil accumulation across all investigated landforms. Both Yedoma and thermokarst landforms are characterized by limited accumulation of organic soil layers (peat). We further estimate that an active layer deepening by about 100 cm will increase organic C availability in a seasonally thawed state in the two study areas by ~5.8 Tg (13.2 kg C/m**-2). Our study demonstrates the importance of increasing the number of C and N storage inventories in ice-rich Yedoma and thermokarst environments in order to account for high variability of permafrost and thermokarst environments in pan-permafrost soil C and N pool estimates.
    Schlagwort(e): AWI_PerDyn; Permafrost Research (Periglacial Dynamics) @ AWI
    Materialart: Dataset
    Format: application/zip, 5 datasets
    Standort Signatur Erwartet Verfügbarkeit
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  • 85
    facet.materialart.
    Unbekannt
    PANGAEA
    In:  Supplement to: Fuchs, Matthias; Grosse, Guido; Jones, Benjamin M; Strauss, Jens; Baughman, Carson A; Walker, Donald A (2018): Sedimentary and geochemical characteristics of two small permafrost-dominated Arctic river deltas in northern Alaska. arktos - The Journal of Arctic Geosciences, 4(1), https://doi.org/10.1007/s41063-018-0056-9
    Publikationsdatum: 2024-06-13
    Beschreibung: This data set describes the soil core and sample characteristics from the Ikpikpuk and Fish Creek river delta on the Arctic Coastal Plain in northern Alaska. The collection of the permafrost soil cores and the analysis of the samples are described in Fuchs et al. (2018). Sedimentary and geochemical characteristics of two small permafrost-dominated Arctic river deltas in northern Alaska. This data compilation consists of two data set. The first data set describes the properties of the collected permafrost soil cores from the Ikpikpuk river (IKP) and Fish Creek river (FCR) delta. This includes the coordinates of the nine coring locations, the field measurements of the active- and organic layer thickness at the coring locations, and the length of the collected permafrost core. In addition, soil organic carbon and soil nitrogen stocks and densities derived from the laboratory analyses for the reference depths 0-30 cm, 0-100 cm, 0-150 cm and 0-200 cm are presented in kg C m-2 and in kg C m-3. The second data set provides the raw laboratory data for all the samples of the nine collected permafrost cores in the Ikpikpuk and Fish Creek River Delta. All laboratory analyzes were carried out at the Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Potsdam. The third data set presents the results from the radiocarbon dating of chosen samples from five different permafrost cores. This includes the AMS radiocarbon date and the calibrated age of a sample. In addition, the sediment and organic carbon accumulation rates for the dated samples are included. This data set allows to calculate the total carbon and nitrogen storage in two small Arctic river deltas (IKP and FCR) for the first two meter of soil and enlarges the available permafrost cores for Arctic river delta deposits.
    Schlagwort(e): AWI_PerDyn; Permafrost Research (Periglacial Dynamics) @ AWI; PETA-CARB; Rapid Permafrost Thaw in a Warming Arctic and Impacts on the Soil Organic Carbon Pool
    Materialart: Dataset
    Format: application/zip, 3 datasets
    Standort Signatur Erwartet Verfügbarkeit
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  • 86
    facet.materialart.
    Unbekannt
    PANGAEA
    In:  Supplement to: Wagg, Cameron; Ebeling, Anne; Roscher, Christiane; Ravenek, Janneke; Bachmann, Dörte; Eisenhauer, Nico; Mommer, Liesje; Buchmann, Nina; Hillebrand, Helmut; Schmid, Bernhard; Weisser, Wolfgang W (2017): Functional trait dissimilarity drives both species complementarity and competitive disparity. Functional Ecology, 31(12), 2320-2329, https://doi.org/10.1111/1365-2435.12945
    Publikationsdatum: 2024-06-13
    Beschreibung: This data collection contains species-specific aboveground plant biomass that was collected from the Trait Based Experiment in 2012. (Sown plant species, Weed plant biomass, the biomass of dead plant material, and the biomass of unidentified plant material) per plots collected in 2012 from a grassland trait diversity experiment (the Jena Trait Based Experiment). The data collection also contains the traits of the species measured in their monoculture. The experiment consists of 20 plant species that were assigned to one of three species pools: 1. Species that vary along a gradient of spatial leaf and root trait similarity, 2. Species that vary along a gradient of phenological trait similarity and 3. Species that vary along a gradient of both spatial and phenological similarity (see Ebeling et al. 2014). The experiment consists of 138 grassland plots 3 x 3 m in size that was established within the Jena Experiment, Germany, in 2011. Plots vary in plant species richness (1, 2, 4, or 8 species) and functional diversity (1, 2, 3, 4 functional diversity levels, where 1 indicates species are most similar and 4 being most dissimilar in functional traits). Plots were maintained by manual weeding in March, July and September. Biomass was harvested twice in 2012 (during peak standing biomass in late May and in late August) on all experimental plots. Plots were mown to the same height directly following biomass harvest. Plant biomass was harvested by clipping the vegetation at 3 cm above ground in two 0.2 x 0.5 m quadrats per plot. The harvested biomass was sorted into categories: individual species of the sown plant species, 'Weed' plant species (species not sown in a plot), detached 'Dead' plant material, and remaining plant material that could not be assigned to any category ('Rest'). All biomass was dried to constant weight (70°C, 〉= 48 h) and weighed. The data from individual quadrats were averaged. The traits measured are: Flowering initiation, Flowering cessation, specific leaf area (SLA), leaf dry matter content (LDMC), leaf area, maximum canopy height, specific root length (SRL), mean rooting depth (MRD), root mass density (RMD) and root length density (RLD). Flowering initiation and cessation were measured respectively as the week in which flowering was first observed and flowering senesce had completed throughout the plot. Leaf area, leaf fresh mass were measured on approximately five fully expanded leaves from different individuals. These leaves were dried at 65°C for over 48 hours and massed to calculate the specific leaf area (SLA, area per dry mass), and the leaf dry matter content (LDMC, dry mass per fresh mass). Maximum canopy height was measured during peak biomass in May by taking the average of five measurements along a transect. Root traits were measured by taking soil cores, 4 cm in diameter and 40 cm deep and sectioned by depth: 0-5, 5-10, 10-20, 20-30 and 30-40 cm. Roots were washed and roots 〈 2 mm in diameter were stored in 70 % ethanol. Root length was determined by scanning stained roots with neutral red and scanning roots using WinRhizo software. Root traits were only measured in species pool 1 and 2. Roots were then dried at 65°C for over 48 hours and massed to determine the specific root length (SRL, root length per mass), mean rooting depth (MRD, the average depth weighed by root mass per depth), root mass density (RMD, the average root mass per cubic cm volume) and root length density (RLD, root mass per root length).
    Schlagwort(e): JenExp; The Jena Experiment
    Materialart: Dataset
    Format: application/zip, 2 datasets
    Standort Signatur Erwartet Verfügbarkeit
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  • 87
    Publikationsdatum: 2024-06-13
    Beschreibung: Tree canopies are considered to effectively buffer climate extremes and to mitigate climate change effects. Droughts, which are predicted to become more frequent in the course of climate change, might alter the microclimatic cooling potential of trees. However, our understanding of how microclimate at the tree canopy level is modulated by environmental and tree characteristics and their interactions is still limited. Here, we investigated canopy temperature regulation for five mature co-occurring tree species for two contrasting hydrological situations during the severe drought in 2018.
    Schlagwort(e): broad-leafed tree species; canopy cover; drought; floodplain forest; forest microclimate regulation; sap flow
    Materialart: Dataset
    Format: application/zip, 3 datasets
    Standort Signatur Erwartet Verfügbarkeit
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  • 88
    facet.materialart.
    Unbekannt
    PANGAEA
    In:  Supplement to: Boike, Julia; Nitzbon, Jan; Anders, Katharina; Grigoriev, Mikhail N; Bolshiyanov, Dimitry Yu; Langer, Moritz; Lange, Stephan; Bornemann, Niko; Morgenstern, Anne; Schreiber, Peter; Wille, Christian; Chadburn, Sarah; Gouttevin, Isabelle; Burke, Eleanor J; Kutzbach, Lars (2019): A 16-year record (2002–2017) of permafrost, active-layer, and meteorological conditions at the Samoylov Island Arctic permafrost research site, Lena River delta, northern Siberia: an opportunity to validate remote-sensing data and land surface, snow, and permafrost models. Earth System Science Data, 11(1), 261-299, https://doi.org/10.5194/essd-11-261-2019
    Publikationsdatum: 2024-06-13
    Beschreibung: Most of the world's permafrost is located in the Arctic, where its frozen organic carbon con-tent makes it a potentially important influence on the global climate system. The Arctic climate appears to be changing more rapidly than the lower latitudes, but observational data density in the region is low. Permafrost thaw and carbon release into the atmosphere is a positive feed-back mechanism that has the potential for climate warming. It is therefore particularly im-portant to understand the links between the energy balance, which can vary rapidly over hour-ly to annual time scales, and permafrost condition, which changes slowly on decadal to cen-tennial timescales. This requires long-term observational data such as that available from the Samoylov research site in northern Siberia, where meteorological parameters, energy balance, and subsurface observations have been recorded since 1998. This paper presents the temporal data set produced between 2002 and 2017, explaining the instrumentation, calibration, pro-cessing and data quality control. Additional data include a high-resolution digital terrain mod-el (DTM) obtained from terrestrial LiDAR laser scanning. Since the data provide observations of temporally variable parameters that influence energy fluxes between permafrost, active lay-er soils, and the atmosphere (such as snow depth and soil moisture content), they are suitable for calibrating and quantifying the dynamics of permafrost as a component in earth system models. The data also include soil properties beneath different microtopographic features (a polygon center, a rim, a slope, and a trough), yielding much-needed information on landscape heterogeneity for use in land surface modeling. For the record from 1998 to 2017, the average mean annual air temperature was -12.3°C, with mean monthly temperature of the warmest month (July) recorded as 9.5°C and for the coldest month (February) -32.7°C. The average annual rainfall was 169mm. The depth of zero annual amplitude niveau is at 20.8m, and has warmed from -9.1°C in 2006 to -7.7°C in 2017.
    Materialart: Dataset
    Format: application/zip, 5 datasets
    Standort Signatur Erwartet Verfügbarkeit
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  • 89
    Publikationsdatum: 2024-06-13
    Schlagwort(e): Alanine per unit sediment mass; Amino acid, hydrolysable per unit sediment mass; Arginine per unit sediment mass; Aspartic acid per unit sediment mass; beta-Alanine per unit sediment mass; BIGSET; BIGSET-2/JGOFS-IN-4; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; Calcium carbonate; Calcium carbonate, flux; Calculated; Calculated, see reference(s); Carbon, organic, particulate, flux; Carbon, organic, total; Carbon, total; Carbon/Nitrogen ratio; DATE/TIME; Date/time end; DEPTH, water; Duration, number of days; Element analyser CHN; Elevation of event; Event label; gamma-Aminobutyric acid per unit sediment mass; Glutamic acid per unit sediment mass; Glycine per unit sediment mass; Histidine per unit sediment mass; Ion-exchange-chromatography; Isoleucine per unit sediment mass; Isotope ratio mass spectrometry; LATITUDE; Leucine per unit sediment mass; LONGITUDE; Lysine per unit sediment mass; Methionine per unit sediment mass; Nitrogen, total; Nitrogen, total, flux; Opal, biogenic silica; Opal, flux; Ornithine per unit sediment mass; Phenylalanine, per unit sediment mass; Photometry; Serine per unit sediment mass; SO129; SO129_ST-01; SO129_ST-01_d; SO129_ST-02a; SO129_ST-03; SO129_ST-03_d; SO129_ST-04; SO129_ST-04_d; SO129_ST-05; Sonne; Threonine per unit sediment mass; Total mass, flux per day; Trap; TRAP; Tyrosine per unit sediment mass; Valine per unit sediment mass; δ13C, organic carbon; δ15N, gas
    Materialart: Dataset
    Format: text/tab-separated-values, 267 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 90
    Publikationsdatum: 2024-06-13
    Beschreibung: Size, weight, body-mass density and swim bladder measurements of Cyclothone species were analysed during the IDEADOS (Mediterranean Sea, July 2010), Bathypelagic (North Atlantic, May-June 2018) and SUMMER (Mediterranean Sea and North Atlantic, September-October 2020), and cruises. Specimens used to analyse size and weight were collected with a Multiple Opening/Closing Net and Environmental Sensing System (MOCNESS-1 m²), fitted with nets of 0.2 mm mesh size. Hauls were carried out between the surface and 700-800 m, in IDEADOS and SUMMER cruises, and up to 1800 m in Bathypelagic survey. Measures of body mass-density were obtained during the SUMMER cruise from specimens collected using the "Mesopelagos" midwater trawl. Finally, measures of swim bladder length, height, width, angle, volume, equivalent spherical radius, and aspect ratio were measured from specimens collected during the Bathypelagic cruise.
    Schlagwort(e): BATHYPELAGIC; Biomass and Active Flux in the Bathypelagic Zone; body-mass density; bristlemouth; Estructura y dinámica del ecosistema bentopelágico de talud en dos zonas oligotróficas del Mediterráneo: una aproximación multidisciplinar y a distintas escalas temporales en las Islas Baleares; fatty-tissue; Gas; Histology; ICM_Excellence_Centre; IDEADOS; micronekton; Severo Ochoa Centre of Excellence; SUMMER; Sustainable Management of Mesopelagic Resources; swimbladder; TRIATLAS; Tropical and South Atlantic climate-based marine ecosystem predictions for sustainable management
    Materialart: Dataset
    Format: application/zip, 3 datasets
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  • 91
    Publikationsdatum: 2024-06-13
    Schlagwort(e): BIGSET; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; Bottom water sampler; BWS; Calculated from mass/volume; Carbon, organic, particulate; Chlorophyll a; Chloroplastic pigment equivalents; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Depth comment; Elevation of event; Event label; Flash combustion at 1050°C in a Carlo Erba NA1500 Analyser; Fluorometry; Latitude of event; Longitude of event; M36/6; M36/6_367CTD; M36/6_371BWS; M36/6_375CTD; M36/6_380CTD; M36/6_381BWS; M36/6_386CTD; M36/6_402BWS; M36/6_404CTD; M36/6_406; M36/6_406BWS; M36/6_BWS-19; M36/6_BWS-20; M36/6_BWS-21; M36/6_CTD-04; M36/6_CTD-05; M36/6_CTD-06; M36/6_CTD-07; M36/6_CTD-12; Meteor (1986); Nitrogen, organic, particulate; Phaeopigments; Suspended matter, total
    Materialart: Dataset
    Format: text/tab-separated-values, 150 data points
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  • 92
    facet.materialart.
    Unbekannt
    PANGAEA
    Publikationsdatum: 2024-06-13
    Schlagwort(e): BIGSET; BIGSET-2/JGOFS-IN-4; Biogeochemical Fluxes of Matter and Energy in the Deep Sea; DATE/TIME; Date/time end; DEPTH, water; Duration, number of days; Elevation of event; Event label; Latitude of event; Longitude of event; Non-destructive beta-counting (Rutgers van der Loeff & Moore, 1999); SO129; SO129_ST-01; SO129_ST-01_d; SO129_ST-03; SO129_ST-03_d; SO129_ST-04; SO129_ST-04_d; Sonne; Thorium, flux; Trap; TRAP
    Materialart: Dataset
    Format: text/tab-separated-values, 15 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 93
    facet.materialart.
    Unbekannt
    PANGAEA
    In:  University of Tromso, Norway
    Publikationsdatum: 2024-06-13
    Schlagwort(e): CT; Depth, bathymetric; ECO2; Helmer Hanssen; HelmerHanssen2011003; HH11-ECO2-track; LATITUDE; LONGITUDE; Snoehvit; Sub-seabed CO2 Storage: Impact on Marine Ecosystems; Swath-mapping system Simrad EM-300 (Kongsberg Maritime AS); Underway cruise track measurements
    Materialart: Dataset
    Format: text/tab-separated-values, 1374354 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 94
    facet.materialart.
    Unbekannt
    PANGAEA
    In:  University of Tromso, Norway
    Publikationsdatum: 2024-06-13
    Schlagwort(e): CT; Depth, bathymetric; ECO2; Helmer Hanssen; HelmerHanssen2011003; HH11-ECO2-track; LATITUDE; LONGITUDE; Snoehvit; Sub-seabed CO2 Storage: Impact on Marine Ecosystems; Swath-mapping system Simrad EM-300 (Kongsberg Maritime AS); Underway cruise track measurements
    Materialart: Dataset
    Format: text/tab-separated-values, 1238132 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 95
    facet.materialart.
    Unbekannt
    PANGAEA
    In:  Supplement to: Hepach, Helmke; Quack, Birgit; Ziska, Franziska; Fuhlbruegge, Steffen; Atlas, Elliot L; Krüger, Kirstin; Peeken, Ilka; Wallace, Douglas WR (2014): Drivers of diel and regional variations of halocarbon emissions from the tropical North East Atlantic. Atmospheric Chemistry and Physics, 14(3), 1255-1275, https://doi.org/10.5194/acp-14-1255-2014
    Publikationsdatum: 2024-06-13
    Beschreibung: Methyl iodide (CH3I), bromoform (CHBr3) and dibromomethane (CH2Br2), which are produced naturally in the oceans, take part in ozone chemistry both in the troposphere and the stratosphere. The significance of oceanic upwelling regions for emissions of these trace gases in the global context is still uncertain although they have been identified as important source regions. To better quantify the role of upwelling areas in current and future climate, this paper analyzes major factors that influenced halocarbon emissions from the tropical North East Atlantic including the Mauritanian upwelling during the DRIVE expedition. Diel and regional variability of oceanic and atmospheric CH3I, CHBr3 and CH2Br2 was determined along with biological and meteorological parameters at six 24 h-stations. Low oceanic concentrations of CH3I from 0.1-5.4 pmol/L were equally distributed throughout the investigation area. CHBr3 of 1.0-42.4 pmol/L and CH2Br2 of 1.0-9.4 pmol/L were measured with maximum concentrations close to the Mauritanian coast. Atmospheric mixing rations of CH3I of up to 3.3, CHBr3 to 8.9 and CH2Br2 to 3.1 ppt above the upwelling and 1.8, 12.8, respectively 2.2 ppt at a Cape Verdean coast were detected during the campaign. While diel variability in CH3I emissions could be mainly ascribed to oceanic non-biological production, no main driver was identified for its emissions in the entire study region. In contrast, oceanic bromocarbons resulted from biogenic sources which were identified as regional drivers of their sea-to-air fluxes. The diel impact of wind speed on bromocarbon emissions increased with decreasing distance to the coast. The height of the marine atmospheric boundary layer (MABL) was determined as an additional factor influencing halocarbon emissions. Oceanic and atmospheric halocarbons correlated well in the study region and in combination with high oceanic CH3I, CHBr3 and CH2Br2 concentrations, local hot spots of atmospheric halocarbons could solely be explained by marine sources. This conclusion is in contrast with previous studies that hypothesized the occurrence of elevated atmospheric halocarbons over the eastern tropical Atlantic mainly originating from the West-African continent.
    Schlagwort(e): 1,1,1-Trichloroethane; 23-10; Bromoiodomethane; Cape Verde; CTD/Rosette; CTD10; CTD17; CTD19; CTD22; CTD5; CTD-RO; CVOO; DATE/TIME; Dibromochloromethane; Dibromomethane; Dichloromethane; Diiodomethane; Event label; Gas chromatography - Mass spectrometry (GC-MS); Iodomethane; LATITUDE; LONGITUDE; OBSE; Observation; POS399/2; POS399/2_308-11; POS399/2_311-19; POS399/2_316-31; POS399/2_317-36; POS399/2_319-43; Poseidon; Sample ID; SOPRAN; Surface Ocean Processes in the Anthropocene; TENATSO; Tetrachloromethane; Tribromomethane; Trichloromethane
    Materialart: Dataset
    Format: text/tab-separated-values, 1540 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 96
    facet.materialart.
    Unbekannt
    PANGAEA
    In:  University of Tromso, Norway
    Publikationsdatum: 2024-06-13
    Schlagwort(e): Conductivity; CTD, Sea-Bird, SBE 9; CTD/Rosette; CTD294; CTD-RO; Density, sigma-theta (0); DEPTH, water; ECO2; Fluorescence; Helmer Hanssen; HelmerHanssen2011003; HH11-ECO2-CTD294; Pressure, water; Salinity; Snoehvit; Sound velocity in water; Sub-seabed CO2 Storage: Impact on Marine Ecosystems; Temperature, water; Temperature, water, potential; Turbidity (Formazin Turbidity Unit)
    Materialart: Dataset
    Format: text/tab-separated-values, 2772 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 97
    Publikationsdatum: 2024-06-13
    Beschreibung: This collection contains measurements of physical and chemical soil properties on the main experiment plots of a large grassland biodiversity experiment (the Jena Experiment; see further details below). In the main experiment, 82 grassland plots of 20 x 20 m were established from a pool of 60 species belonging to four functional groups (grasses, legumes, tall and small herbs). In May 2002, varying numbers of plant species from this species pool were sown into the plots to create a gradient of plant species richness (1, 2, 4, 8, 16 and 60 species) and functional richness (1, 2, 3, 4 functional groups). Plots were maintained in general by bi-annual weeding and mowing. Since 2010, plot size was reduced to 5 x 6 m and plots were weeded three times per year. The following series of datasets are contained in this collection: 1. Physical soil properties - Soil texture: Proportion of sand, silt and clay in the fine soil was measured in April 2002 before plot establishment at 27 locations distributed throughout the experimental site. Undisturbed soil cores were taken to 100 cm depth and separated in depth increments with a resolution of 10 to 20 cm. Grain size fractions according to DIN 19683-2 were then determined by a combined sieve and hydrometer analysis. Values for each plot were interpolated by ordinary kriging. - Bulk density: Bulk density was sampled down to 100 cm depth in 2002 and 30 cm depth in 2004, 2006 and 2008. Several undisturbed soil cores were taken per plot and separated in depth increments before the bulk material was sieved, dried and weighed. - Soil hydraulic properties: Field capacity and permanent wilting point at 10, 20 and 30 cm depth were derived from soil texture data of 2002 and bulk density 2006 by using pedotransfer functions. Applied was equation four and five of Zacharias and Wessolek (2007) to derive parameters of the water retention curve. Water contents at field capacity and permanent wilting point were obtained using the van Genuchte Eq (e.g. eq 1 in Zacharias and Wessolek), and calculating water contents at - 330 cm matric potential (field capacity, 1/3 of atmospheric pressure) and at -15000 cm. -Soil porosity: the fraction of total volume occupied by pores or voids measured at matric potential 0, already published on https://doi.pangaea.de/10.1594/PANGAEA.865254. 2. Chemical soil properties - Lime content: Percentage of CaCO3 in the soil was measured in April 2002 before plot establishment at 27 locations distributed throughout the experimental site. Undisturbed soil cores were taken to 100 cm depth and separated in depth increments with a resolution of 10 to 20 cm. The bulk material was sieved and CaCO3 content of the fine soil was determined as volumetric determination according to DIN 19684-5. - Soil organic matter: Percentage of soil organic matter was measured in April 2002 before plot establishment at 27 locations distributed throughout the experimental site. Undisturbed soil cores were taken to 100 cm depth and separated in depth increments with a resolution of 10 to 20 cm. The bulk material was sieved and organic content of the fine soil was determined using a loss-on-ignition method. - Soil pH value: soil pH value was determined 2002 and 2010 in water and 2002 also in calcium chloride. Five soil samples were taken per plot and bulk material was diluted in water and calcium chloride. PH values were then measured with an electrode.
    Schlagwort(e): JenExp; The Jena Experiment
    Materialart: Dataset
    Format: application/zip, 10 datasets
    Standort Signatur Erwartet Verfügbarkeit
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  • 98
    Publikationsdatum: 2024-06-13
    Beschreibung: This data set contains measurements of carbon and nitrogen concentrations in aboveground plant biomass. Data presented here is from the Main Experiment plots of a large grassland biodiversity experiment (the Jena Experiment; see further details below). In the main experiment, 82 grassland plots of 20 x 20 m were established from a pool of 60 species belonging to four functional groups (grasses, legumes, tall and small herbs). In May 2002, varying numbers of plant species from this species pool were sown into the plots to create a gradient of plant species richness (1, 2, 4, 8, 16 and 60 species) and functional richness (1, 2, 3, 4 functional groups). Plots were maintained in general by bi-annual weeding and mowing. Since 2010, plot size was reduced to 5 x 6 m and plots were weeded three times per year. Aboveground plant biomass was harvested twice in May and August at estimated peak standing biomass before mowing. Plants were clipped at 3 cm above ground level in four (three in May) rectangles of 20 x 50 cm size per plot. All material was sorted to species, weeds and rest (dead). Samples were dried at 70 °C for at least 48 h and weeds and rest were thrown away. All other material from one plot was combined to one sample and cut up with an analysis mill (Kinematica, Littau, Schweiz). A small subsample of this material was milled to fine powder in a ball-mill (Retsch 2000 M). From the milled material 20 mg were weighed in for CN analysis. Carbon and nitrogen concentrations of this subsample were then determined with an elemental analyzer (VarioEL CHNS).
    Schlagwort(e): Carbon; Date/time end; Date/time start; EXP; Experiment; Experimental plot; HEIGHT above ground; Height aboveground, maximum; Height aboveground, minimum; Jena Experiment 2005; JenExp; JenExp_2005; Nitrogen, total; The Jena Experiment; Thuringia, Germany; Treatment: aboveground: pesticide; Treatment: below pesticide; Treatment: drought; Treatment: eartworm exclosure; Treatment: fertilizing; Treatment: molluscide; Treatment: mowing; Treatment: nematicide; Treatment: phytometers; Treatment: seed addition; Treatment: special; Treatment: weeding; Treatment: weeding history
    Materialart: Dataset
    Format: text/tab-separated-values, 3280 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 99
    Publikationsdatum: 2024-06-13
    Beschreibung: This data set contains measurements of carbon and nitrogen concentrations in aboveground plant biomass. Data presented here is from the Main Experiment plots of a large grassland biodiversity experiment (the Jena Experiment; see further details below). In the main experiment, 82 grassland plots of 20 x 20 m were established from a pool of 60 species belonging to four functional groups (grasses, legumes, tall and small herbs). In May 2002, varying numbers of plant species from this species pool were sown into the plots to create a gradient of plant species richness (1, 2, 4, 8, 16 and 60 species) and functional richness (1, 2, 3, 4 functional groups). Plots were maintained in general by bi-annual weeding and mowing. Since 2010, plot size was reduced to 5 x 6 m and plots were weeded three times per year. Aboveground plant biomass was harvested twice in May and August at estimated peak standing biomass before mowing. Plants were clipped at 3 cm above ground level in four (three in May) rectangles of 20 x 50 cm size per plot. All material was sorted to species, weeds and rest (dead). Samples were dried at 70 °C for at least 48 h and weeds and rest were thrown away. All other material from one plot was combined to one sample and cut up with an analysis mill (Kinematica, Littau, Schweiz). A small subsample of this material was milled to fine powder in a ball-mill (Retsch 2000 M). From the milled material appr. 10 mg were weighed in for CN analysis. Carbon and nitrogen concentrations of this subsample were then determined with an elemental analyzer (vario EL element analyser).
    Schlagwort(e): Carbon; Date/time end; Date/time start; EXP; Experiment; Experimental plot; HEIGHT above ground; Height aboveground, maximum; Height aboveground, minimum; Jena Experiment 2007; JenExp; JenExp_2007; Nitrogen, total; The Jena Experiment; Thuringia, Germany; Treatment: aboveground: pesticide; Treatment: below pesticide; Treatment: drought; Treatment: eartworm exclosure; Treatment: fertilizing; Treatment: molluscide; Treatment: mowing; Treatment: nematicide; Treatment: phytometers; Treatment: seed addition; Treatment: special; Treatment: weeding; Treatment: weeding history
    Materialart: Dataset
    Format: text/tab-separated-values, 3274 data points
    Standort Signatur Erwartet Verfügbarkeit
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  • 100
    Publikationsdatum: 2024-06-13
    Schlagwort(e): 0050PG; 0055PG; 0058PG; 0066PG; 0071PG; 0075PG; 0082PG; 0091PG; A150/180; A153-154; A156-007; A156-7TW; A157-3; A164-13; A164-15; A164-16; A164-17; A164-23; A167-12; A167-13; A167-18TW; A167-1TW; A179-13; A179-15; A179-20; A179-24; A179-6; A179-7; A180-13; A180-15; A180-20; A180-39; A180-69; A180-70; A180-72; A180-76; A180-78; A181/185; A181-7; A181-9; Agassiz; also published as VM28-122; AR1-119; AR1-144; AR2-113; AR2-117; AR2-128; AR2-136; AR3-25; AR3-45; AR4-55; AR4-63; Arabian Sea; Argo; ARIES; ARIES-046G; ARIES-049G; Aru Sea; AT_II-15_547; AT_II-15_552; AT_II-15_558; AT_II-15_559; AT_II-15_572; AT_II-15_585; AT_II-15_586; AT_II-15_591; AT_II-15_592; AT_II-15_597A; AT_II-15_597B; AT_II-15_600; AT_II-15_602; AT_II-15_602-10a; AT_II-15_612; AT_II-15_614; AT_II-15_618; AT_II-93-12-38-21; AT_II-93-12-43-26; AT_II-93-12-45-27; AT_II-93-12-46-28; AT_II-93-14-55-35; AT_USA; Atlantic; Atlantic Ocean; Atlantis (1931); Bay of Bengal; BC; Berggrenia pumilio; Box corer; Candeina nitida; CH09908-0064PC; CH09908-0065PC; CH09908-0066PC; CH09908-0068PC; CH09908-0070PC; CHN99-064; CHN99-065; CHN99-066; CHN99-068; CHN99-070; CHUB4; CHUBIV; CIRCE; CIRCE-18P; CIRCE-19PG; CIRCE-21; CIRCE-239; CIRCE-24; CIRCE-26; CIRCE-27; CIRCE-32; CIRCE-36; CIRCE-38; CIRCE-42; CIRCE-44; Counting, foraminifera, benthic; Counting, foraminifera, planktic; Counting, pteropods; Counting, radiolarians; D17-05; D17-06; D17-14; D17-15; D17-17; D17-23; D17-24; D17-25; D17-27; D17-28; D17-29; D17-30; D17-32; D17-33; D17-34; D17-35; D17-36; D17-39; D17-41; DEPTH, sediment/rock; DODO; DODO-117P; DODO-119PG; DODO-121PGA; DODO-126P; DODO-130G; DODO-144G; DODO-173G; DODO-191; DODO-192G; DODO-193; DODO-194; DODO-197; DODO-200V; DODO-201G; DODO-220V; DW010; DW013; DW017; DW026; DW034; DW035; DW036; DW048; DW050; DW058; DW074; DW079; DW082; DW089; DW123; DW130; DW134; DW137; DW147B; DWD-10HH; DWD-123; DWD-130; DWD-134; DWD-137G; DWD-13HH; DWD-147B; DWD-149; DWD-17; DWD-26; DWD-34HG; DWD-35HH; DWD-36HG; DWD-48HG; DWD-50HG; DWD-58HH; DWD-74; DWD-79; DWD-82; DWD-89HH-2; Eastern Equatorial Pacific; Elevation of event; ELT11.010; ELT11.064; ELT11.089; ELT-1110; ELT-1164; ELT-1189; ELT12.027; ELT12.046; ELT1227; ELT1246; ELT49; ELT49.022-PC; ELT49.023-PC; ELT49.024-PC; ELT49.025-PC; Eltanin; ERDC; ERDC-077BX; ERDC-079BX; ERDC-092BX; ERDC-102BX; ERDC-108BX; ERDC-112BX; ERDC-120BX; ERDC-123BX; ERDC-125BX; ERDC-128BX; ERDC-129BX; ERDC-131BX; ERDC-135BX; ERDC-136BX; ERDC-139BX; ERDC-141BX; Event label; FFC; Foraminifera, benthic; Foraminifera, planktic; Foraminifera, planktic, fragments; Free fall corer; GC; GGC; Giant gravity corer; Globigerina bulloides; Globigerina calida; Globigerina falconensis; Globigerina quinqueloba; Globigerina rubescens; Globigerinella adamsi; Globigerinella aequilateralis; Globigerinella digitata; Globigerinita glutinata; Globigerinita iota; Globigerinita uvula; Globigerinoides conglobatus; Globigerinoides ruber; Globigerinoides ruber pink; Globigerinoides ruber white; Globigerinoides sacculifer; Globigerinoides sacculifer sac; Globigerinoides sacculifer wo sac; Globigerinoides tenellus; Globoquadrina conglomerata; Globoquadrina hexagona; Globorotalia anfracta; Globorotalia crassaformis; Globorotalia crassula; Globorotalia hirsuta; Globorotalia inflata; Globorotalia menardii; Globorotalia menardii flexuosa; Globorotalia scitula; Globorotalia theyeri; Globorotalia truncatulinoides dextral; Globorotalia truncatulinoides sinistral; Globorotalia tumida; Grab; GRAB; Gravity corer; Horizon; Indian Ocean; INMD; INMD-040BX; INMD-042BX; INMD-048BX; INMD-050BX; INMD-051BX; INMD-055BX; INMD-056BX; INMD-064BX; INMD-065BX; INMD-067BX; INMD-068BX; INMD-069BX; INMD-070BX; INMD-072BX; INMD-073BX; INMD-074BX; INMD-094BX; INMD-097BX; INMD-098BX; INMD-100BX; KM1-41; KN11002; KN11002-0096PG; KN11002-0099PG; Knorr; KNR110-01; KNR110-02; KNR110-05; KNR110-06; KNR110-07; KNR110-08; KNR110-09; KNR110-10; KNR110-11; KNR110-12; KNR110-14; KNR110-15; KNR110-16; KNR110-17; KNR110-18; KNR110-20; KNR110-21; KNR110-23; KNR110-24; KNR110-26; KNR110-27; KNR110-28; KNR110-30; KNR110-32; KNR110-33; KNR110-40; KNR110-43; KNR110-45; KNR110-46; KNR110-50; KNR110-51; KNR110-53; KNR110-54; KNR110-55; KNR110-56; KNR110-57; KNR110-58; KNR110-61; KNR110-62; KNR110-63; KNR110-64; KNR110-66; KNR110-71; KNR110-72; KNR110-73; KNR110-75; KNR110-77; KNR110-81; KNR110-82; KNR110-89; KNR110-91; KNR110-93; KNR110-95; KNR110-96; KNR110-99; Lakshadweep Sea; Latitude of event; Longitude of event; LSDA; LSDA-103V; LSDA-106G; LSDA-107GA; LSDA-113G; LSDA-117G; LSDA-128G; LSDA-129G; LSDA-131G; LSDA-133GA; LSDA-136G; LSDH; LSDH-001VB; LSDH-009TW; LSDH-025V; LSDH-033G; LSDH-038G; LSDH-058G; LSDH-062G; LSDH-064PG; LSDH-065V; LSDH-066PG; LSDH-067P; LSDH-068PG; LSDH-076PG; LSDH-077G; LSDH-078PG; LSDH-079PG; LUSIAD-A; LUSIAD-H; Marion Dufresne (1972); MD10; MD13; MD76-132; MD76-135; MD77-168; MD77-169; MD77-170; MD77-171; MD77-174; MD77-176; MD77-179; MD77-181; MD77-185; MD77-191; MD77-196; MD77-199; MD77-204; Melville; MOANAWAVE04; MOANAWAVE05; MOANAWAVE06; MOANAWAVE07; MOANAWAVE08; MOANAWAVE09; MOANAWAVE10; MOANAWAVE11; MOANAWAVE12; MOANAWAVE13; MOANAWAVE14; MOANAWAVE15; MOANAWAVE18; MOANAWAVE19; MOANAWAVE20; MOANAWAVE23; MOANAWAVE24; MOANAWAVE25; MOANAWAVE26; MOANAWAVE29; MOANAWAVE31; MOANAWAVE32; MOANAWAVE35; MOANAWAVE36; MOANAWAVE40; MOANAWAVE42; MOANAWAVE44; MONAWAVE07; MONAWAVE14; MONAWAVE15; MONAWAVE18; MONAWAVE19; MONAWAVE20; MONAWAVE23; MONAWAVE24; MONAWAVE25; MONAWAVE26; MONAWAVE29; MONAWAVE31; MONAWAVE32; MONAWAVE35; MONAWAVE36; MONAWAVE40; MONAWAVE42; MONAWAVE44; MONS01AR-MONS08AR; MONSOON; MP10-1; MP-10-1; MP33; MP-33; MSN-104P; MSN-126G; MSN-128G; MSN-135PG; MSN-136G; MSN-137P; MSN-138P; MSN-45G; MSN-55G; MSN-56P; MSN-63G; MSN-90G; MSN-92PG; MSN-93G; MUC; MUK-19BP; MUK-20BP; MUKBP19; MUKBP20; MultiCorer; NEL9; NEL-H5; Neogloboquadrina dutertrei; Neogloboquadrina pachyderma dextral; Neogloboquadrina pachyderma sinistral; Orbulina universa; OSIRIS II; OSIRIS III; Pacific Ocean; PC; Piston corer; PROA; PROA-048G; PROA-057G; PROA-066G; PROA-067G; PROA-083PG; PROA-084PG; PROA-085PG-1; PROA-087PG; PROA-088PG; PROA-118G; PROA-122G; PROA-124G1; PROA-147G; PROA-149G; PROA-151G; PROA-155G; PROA-156G; Pteropoda sp.; Pulleniatina obliquiloculata; Radiolarians; RC07; RC0701-RC0708; RC07-21; RC08; RC08-106; RC08-16; RC08-18; RC08-22; RC08-23; RC08-27; RC08-28; RC08-39; RC08-40; RC08-41; RC08-46; RC08-50; RC08-51; RC08-52; RC08-53; RC08-60; RC08-61; RC08-62; RC08-63; RC08-64; RC08-91; RC08-93; RC09; RC09-019; RC09-104; RC09-121; RC09-124; RC09-125; RC09-126; RC09-133; RC09-134; RC09-139; RC09-140; RC09-143; RC09-144; RC09-147; RC09-150; RC09-155; RC09-161; RC09-162; RC09-163; RC09-17; RC09-18; RC09-19; RC09-212; RC09-22; RC09-222; RC09-225; RC09-24; RC09-25; RC09-28; RC09-29; RC09-30; RC09-32; RC09-61; RC09-7; RC09-77; RC10; RC10-131; RC10-135; RC10-139; RC10-140; RC10-141; RC10-142; RC10-143; RC10-144; RC10-146; RC10-149; RC10-161; RC10-162; RC10-172; RC10-175; RC10-22; RC10-250; RC10-256; RC10-262; RC10-263; RC10-264; RC10-265; RC10-266; RC10-267; RC10-268; RC10-269; RC10-270; RC10-49; RC10-53; RC10-54; RC11; RC11-10; RC11-103; RC11-106; RC11-11; RC11-111; RC11-116; RC11-117; RC11-118; RC1112; RC11-12; RC11-120; RC11-121; RC11-122; RC11-123; RC11-124; RC11-125; RC11-126; RC11-128; RC11-13; RC11-134; RC11-138; RC11-14; RC11-141; RC11-145; RC11-146; RC11-15; RC11-150; RC11-156; RC11-158; RC11-16; RC11-160; RC11-162; RC11-187; RC11-21; RC11-211; RC11-217; RC11-220; RC11-227; RC11-22TW; RC11-230; RC11-232; RC11-237; RC11-255; RC11-26; RC11-260; RC11-35; RC11-37; RC11-78; RC11-79; RC11-80; RC11-82; RC11-84; RC11-86; RC11-9; RC11-99; RC12; RC12-10; RC12-107; RC12-109; RC12-113; RC12-12; RC12-121; RC12-122; RC12-123; RC12-124; RC12-138; RC12-139; RC12-143; RC12-146; RC12-173; RC12-18; RC12-19; RC12-210; RC12-233; RC12-235; RC12-241; RC12-266; RC12-268; RC12-291; RC12-292; RC12-293; RC12-294; RC12-297; RC12-298; RC12-299; RC12-300; RC12-303; RC12-
    Materialart: Dataset
    Format: text/tab-separated-values, 63125 data points
    Standort Signatur Erwartet Verfügbarkeit
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