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  • 1
    Publication Date: 2024-06-27
    Keywords: Campaign of event; Capricornio; Capricornio03050504; Capricornio03050504_1; Capricornio03050504_2; Capricornio03050504_22; Capricornio03050504_23; Capricornio03050504_24; Capricornio03050504_3; Capricornio03050504_68; Capricornio03050504_69; Capricornio03050504_70; Capricornio03050504_71; Capricornio03050504_72; Capricornio03050504_74; Capricornio03050504_75; Capricornio03050504_76; Capricornio03050504_77; Capricornio03050504_78; Capricornio03050504_79; Capricornio03050504_80; Capricornio03050504_80-II; Capricornio03050504_81-II; Capricornio03050504_82-II; Capricornio03050504_85; Capricornio03050504_86; Capricornio03050504_87; Capricornio03050504_88; DATE/TIME; Event label; Latitude of event; Longitude of event; NW-Spain; PELACUS0300; PELACUS0300_1; PELACUS0300_100; PELACUS0300_2; PELACUS0300_3; PELACUS0300_31; PELACUS0300_32; PELACUS0300_33; PELACUS0300_34; PELACUS0300_35; PELACUS0300_4; PELACUS0300_5; PELACUS0300_53; PELACUS0300_54; PELACUS0300_55; PELACUS0300_56; PELACUS0300_57; PELACUS0300_58; PELACUS0300_59; PELACUS0300_97; PELACUS0300_98; PELACUS0300_99; PELACUS0302; PELACUS0302_113; PELACUS0302_114; PELACUS0302_115; PELACUS0302_116; PELACUS0302_117; PELACUS0302_118; PELACUS0302_119; PELACUS0302_136; PELACUS0302_137; PELACUS0302_138; PELACUS0302_139; PELACUS0302_140; PELACUS0302_141; PELACUS0302_142; PELACUS0302_16; PELACUS0302_17; PELACUS0302_18; PELACUS0302_19; PELACUS0302_20; PELACUS0302_31; PELACUS0302_32; PELACUS0302_33; PELACUS0302_34; PELACUS0302_35; PELACUS0302_36; PELACUS0302_50; PELACUS0302_51; PELACUS0302_52; PELACUS0302_53; PELACUS0302_54; PELACUS0302_55; PELACUS0302_63; PELACUS0302_64; PELACUS0302_65; PELACUS0302_66; PELACUS0302_67; PELACUS0302_68; PELACUS0302_84; PELACUS0302_85; PELACUS0302_86; PELACUS0302_87; PELACUS0302_88; PELACUS0302_89; PELACUS0302_90; PELACUS0303; PELACUS0303_102; PELACUS0303_104; PELACUS0303_134; PELACUS0303_136; PELACUS0303_138; PELACUS0303_15; PELACUS0303_18; PELACUS0303_21; PELACUS0303_22; PELACUS0303_25; PELACUS0303_28; PELACUS0303_48; PELACUS0303_50; PELACUS0303_53; PELACUS0303_59; PELACUS0303_61; PELACUS0303_63; PELACUS0303_79; PELACUS0303_81; PELACUS0303_83; PELACUS0303_99; PELACUS0399; PELACUS0399_100; PELACUS0399_36; PELACUS0399_37; PELACUS0399_38; PELACUS0399_39; PELACUS0399_40; PELACUS0399_51; PELACUS0399_52; PELACUS0399_53; PELACUS0399_54; PELACUS0399_55; PELACUS0399_66; PELACUS0399_67; PELACUS0399_68; PELACUS0399_69; PELACUS0399_70; PELACUS0399_81; PELACUS0399_82; PELACUS0399_83; PELACUS0399_84; PELACUS0399_85; PELACUS0399_96; PELACUS0399_97; PELACUS0399_98; PELACUS0399_99; PELACUS0401; PELACUS0401_1; PELACUS0401_10; PELACUS0401_11; PELACUS0401_119; PELACUS0401_12; PELACUS0401_120; PELACUS0401_121; PELACUS0401_122; PELACUS0401_123; PELACUS0401_13; PELACUS0401_14; PELACUS0401_142; PELACUS0401_143; PELACUS0401_144; PELACUS0401_145; PELACUS0401_146; PELACUS0401_147; PELACUS0401_15; PELACUS0401_16; PELACUS0401_17; PELACUS0401_18; PELACUS0401_19; PELACUS0401_2; PELACUS0401_20; PELACUS0401_21; PELACUS0401_22; PELACUS0401_24; PELACUS0401_25; PELACUS0401_26; PELACUS0401_27; PELACUS0401_28; PELACUS0401_29; PELACUS0401_3; PELACUS0401_30; PELACUS0401_4; PELACUS0401_45; PELACUS0401_46; PELACUS0401_47; PELACUS0401_48; PELACUS0401_5; PELACUS0401_6; PELACUS0401_63; PELACUS0401_64; PELACUS0401_65; PELACUS0401_66; PELACUS0401_67; PELACUS0401_68; PELACUS0401_7; PELACUS0401_8; PELACUS0401_9; PELACUS0401_92; PELACUS0401_93; PELACUS0401_94; PELACUS0401_95; PELACUS0401_96; PELACUS0404; PELACUS0404_10; PELACUS0404_26; PELACUS0404_28; PELACUS0404_30; PELACUS0404_41; PELACUS0404_43; PELACUS0404_45; PELACUS0404_6; PELACUS0404_66; PELACUS0404_67; PELACUS0404_69; PELACUS0404_8; PELACUS0404_91; PELACUS0404_93; PELACUS0404_94; PELACUS0404_95; PELACUS0404_96; PELACUS0404_98; PLA; Plankton net; Size fraction; Station label; SW-Spain; Thalassa; Time of day; δ13C; δ15N
    Type: Dataset
    Format: text/tab-separated-values, 3870 data points
    Location Call Number Expected Availability
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  • 2
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    Unknown
    PANGAEA
    In:  Supplement to: Wang, Yiming V; Larsen, Thomas; Leduc, Guillaume; Andersen, Nils; Blanz, Thomas; Schneider, Ralph R (2013): What does leaf wax dD from a mixed C3/C4 vegetation region tell us? Geochimica et Cosmochimica Acta, 111, 128-139, https://doi.org/10.1016/j.gca.2012.10.016
    Publication Date: 2024-06-26
    Description: Hydrogen isotope values (dD) of sedimentary terrestrial leaf wax such as n-alkanes or n-acids have been used to map and understand past changes in rainfall amount in the tropics because dD of precipitation is commonly assumed as the first order controlling factor of leaf wax dD. Plant functional types and their photosynthetic pathways can also affect leaf wax dD but these biological effects are rarely taken into account in paleo studies relying on this rainfall proxy. To investigate how biological effects may influence dD values we here present a 37,000-year old record of dD and stable carbon isotopes (d13C) measured on four n-alkanes (n-C27, n-C29, n-C31, n-C33) from a marine sediment core collected off the Zambezi River mouth. Our paleo d13C records suggest that each individual n-alkanes had different C3/C4 proportional contributions. n-C29 was mostly derived from a C3 dicots (trees, shrubs and forbs) dominant vegetation throughout the entire record. In contrast, the longer chain n-C33 and n-C31 were mostly contributed by C4 grasses during the Glacial period but shifted to a mixture of C4 grasses and C3 dicots during the Holocene. Strong correlations between dD and d13C values of n-C33 (correlation coefficient R2 = 0.75, n = 58) and n-C31 (R2 = 0.48, n = 58) suggest that their dD values were strongly influenced by changes in the relative contributions of C3/C4 plant types in contrast to n-C29 (R2 = 0.07, n = 58). Within regions with variable C3/C4 input, we conclude that dD values of n-C29 are the most reliable and unbiased indicator for past changes in rainfall, and that dD and d13C values of n-C31 and n-C33 are sensitive to C3/C4 vegetation changes. Our results demonstrate that a robust interpretation of palaeohydrological data using n-alkane dD requires additional knowledge of regional vegetation changes from which nalkanes are synthesized, and that the combination of dD and d13C values of multiple n-alkanes can help to differentiate biological effects from those related to the hydrological cycle.
    Keywords: GIK/IfG; GIK16160-3; Gravity corer (Kiel type); Institute for Geosciences, Christian Albrechts University, Kiel; M75/3; M75/3_137-3; Meteor (1986); Sambesi Fan; SL
    Type: Dataset
    Format: application/zip, 2 datasets
    Location Call Number Expected Availability
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  • 3
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    Unknown
    PANGAEA
    In:  Supplement to: Wilhelms-Dick, Dorothee; Hanebuth, Till J J; Zonneveld, Karin A F; Röhl, Ursula; Kuhn, Gerhard; Kriews, Michael; Gerstmann, Udo; Kasten, Sabine (submitted): Variability and extent of the oxygen minimum zone in the northern Arabian Sea during the late Holocene.
    Publication Date: 2024-06-26
    Description: The Arabian Sea off the Pakistan continental margin is characterized by one of the world's largest oxygen minimum zones (OMZ). The lithology and geochemistry of a 5.3 m long gravity core retrieved from the lower boundary of the modern OMZ (956 m water depth) were used to identify late Holocene changes in oceanographic conditions and the vertical extent of the OMZ. While the lower part of the core (535 - 465 cm, 5.04 - 4.45 cal kyr BP, Unit 3) is strongly bioturbated indicating oxic bottom water conditions, the upper part of the core (284 - 0 cm, 2.87 cal kyr BP to present, Unit 1) shows distinct and well-preserved lamination, suggesting anoxic bottom waters. The transitional interval from 465 to 284 cm (4.45 - 2.87 cal kyr BP, Unit 2) contains relicts of lamination which are in part intensely bioturbated. These fluctuations in bioturbation intensity suggest repetitive changes between anoxic and oxic/suboxic bottom-water conditions between 4.45 - 2.87 cal kyr BP. Barium excess (Baex) and total organic carbon (TOC) contents do not explain whether the increased TOC contents found in Unit 1 are the result of better preservation due to low BWO concentrations or if the decreased BWO concentration is a result of increased productivity. Changes in salinity and temperature of the outflowing water from the Red Sea during the Holocene influenced the water column stratification and probably affected the depth of the lower boundary of the OMZ in the northern Arabian Sea. Even if we cannot prove certain scenarios, we propose that the observed downward shift of the lower boundary of the OMZ was also impacted by a weakened Somali Current and a reduced transport of oxygen-rich Indian Central Water into the Arabian Sea, both as a response to decreased summer insolation and the continuous southward shift of the Intertropical Convergence Zone during the late Holocene.
    Keywords: Center for Marine Environmental Sciences; GC; GC10; GeoB; GeoB12309-5; Geosciences, University of Bremen; Gravity corer; M74/3; MARUM; Meteor (1986); OMZ 950
    Type: Dataset
    Format: application/zip, 3 datasets
    Location Call Number Expected Availability
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  • 4
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    PANGAEA
    In:  Supplement to: Petersen, Jillian M; Zielinski, Frank U; Pape, Thomas; Seifert, Richard; Moraru, Cristina; Amann, Rudolf; Hourdez, Stéphane; Girguis, Peter R; Wankel, Scott D; Barbe, Valerie; Pelletier, Eric; Fink, Dennis; Borowski, Christian; Bach, Wolfgang; Dubilier, Nicole (2011): Hydrogen is an energy source for hydrothermal vent symbioses. Nature, 476, 176-180, https://doi.org/10.1038/nature10325
    Publication Date: 2024-06-26
    Description: The discovery of deep-sea hydrothermal vents in 1977 revolutionized our understanding of the energy sources that fuel primary productivity on Earth. Hydrothermal vent ecosystems are dominated by animals that live in symbiosis with chemosynthetic bacteria. So far, only two energy sources have been shown to power chemosynthetic symbioses: reduced sulphur compounds and methane. Using metagenome sequencing, single-gene fluorescence in situ hybridization, immunohistochemistry, shipboard incubations and in situ mass spectrometry, we show here that the symbionts of the hydrothermal vent mussel Bathymodiolus from the Mid-Atlantic Ridge use hydrogen to power primary production. In addition, we show that the symbionts of Bathymodiolus mussels from Pacific vents have hupL, the key gene for hydrogen oxidation. Furthermore, the symbionts of other vent animals such as the tubeworm Riftia pachyptila and the shrimp Rimicaris exoculata also have hupL. We propose that the ability to use hydrogen as an energy source is widespread in hydrothermal vent symbioses, particularly at sites where hydrogen is abundant.
    Keywords: DERIDGE; From Mantle to Ocean: Energy-, Material- and Life-cycles at Spreading Axes; HYDROMAR2; M64/2; M64/2-244-ROV; M64/2-263-ROV; M64/2-266-ROV; M64/2-281-ROV; M68/1; M68/1-20-ROV; M68/1-24-ROV; M68/1-39-ROV; M68/1-70-ROV; MARSUED3; Meteor (1986); Mid-Atlantic Ridge at 10-15°N; Remote operated vehicle; ROV
    Type: Dataset
    Format: application/zip, 2 datasets
    Location Call Number Expected Availability
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  • 5
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    PANGAEA
    In:  GEOMAR - Helmholtz Centre for Ocean Research Kiel
    Publication Date: 2024-06-26
    Keywords: 06PO20050321; Calculated; CTD; CTD/Rosette; CTD-RO; CTD with attached oxygen sensor; Date/Time of event; Density, sigma-theta (0); DEPTH, water; Elevation of event; Event label; Latitude of event; Longitude of event; Oxygen; POS320/1; POS320/1_36-1; POS320/1_36-2; POS320/1_37-1; POS320/1_38-1; POS320/1_40-1; POS320/1_41-1; POS320/1_42-1; POS320/1_43-1; POS320/1_44-1; POS320/1_45-1; POS320/1_46-1; POS320/1_46-2; POS320/1_47-1; POS320/1_48-1; POS320/1_48-2; POS320/1_49-1; POS320/1_50-1; POS320/1_51-1; POS320/1_52-1; POS320/1_52-2; POS320/1_53-1; POS320/1_54-1; POS320/1_55-1; POS320/1_55-2; POS320/1_56-1; POS320/1_57-1; POS320/1_57-2; POS320/1_58-1; POS320/1_58-2; POS320/1_59-1; POS320/1_60-1; POS320/1_61-1; POS320/1_61-2; POS320/1_62-1; POS320/1_63-1; POS320/1_64-1; POS320/1_65-1; POS320/1_65-2; POS320/1_66-1; POS320/1_66-2; POS320/1_67-1; POS320/1_68-1; POS320/1_68-2; Poseidon; Pressure, water; Salinity; SOPRAN; Sound velocity in water; Surface Ocean Processes in the Anthropocene; Temperature, water; Tropical NE Atlantic
    Type: Dataset
    Format: text/tab-separated-values, 212928 data points
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  • 6
    Publication Date: 2024-06-26
    Keywords: DEPTH, sediment/rock; East Pacific; Giant box corer; GIK/IfG; GIK17795-1; GKG; HOTLINE, HYGAPE; Institute for Geosciences, Christian Albrechts University, Kiel; Magnetic susceptibility, volume; Multi-Sensor Core Logger (MSCL), GEOTEK; SO80_54; SO80a; Sonne
    Type: Dataset
    Format: text/tab-separated-values, 73 data points
    Location Call Number Expected Availability
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  • 7
    Publication Date: 2024-06-26
    Keywords: Acidobacteria, relative 16S rRNA clone frequency; Actinobacteria, relative 16S rRNA clone frequency; alpha-Proteobacteria, relative 16S rRNA clone frequency; Anaerobic methanotrophic archaea-2-a-2b, relative 16S rRNA clone frequency; Anaerobic methanotrophic archaea-2c, relative 16S rRNA clone frequency; Anaerobic methanotrophic archaea-3, relative 16S rRNA clone frequency; ANT06-05 archaea, relative 16S rRNA clone frequency; Bacteria, unaffiliated, relative 16S rRNA clone frequency; Bacteroidetes, relative 16S rRNA clone frequency; beta-Proteobacteria, relative 16S rRNA clone frequency; CCA47 archaea, relative 16S rRNA clone frequency; Chloroflexi, relative 16S rRNA clone frequency; Deep Sea Euryarchaeal Group, relative 16S rRNA clone frequency; Delta-Proteobacteria, relative 16S rRNA clone frequency; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; East of New Zealand, Omakere Ridge; East of New Zealand, Wairarapa Takahae; Epsilon-Proteobacteria, relative 16S rRNA clone frequency; Event label; Fibrobacteres, relative 16S rRNA clone frequency; Gammaproteobacteria, relative 16S rRNA clone frequency; Habitat; Marine Benthic Group A, relative 16S rRNA clone frequency; Marine Benthic Group B, relative 16S rRNA clone frequency; Marine Benthic Group D, relative 16S rRNA clone frequency; Marine Benthic Group E, relative 16S rRNA clone frequency; Marine group I, relative 16S rRNA clone frequency; Methanimicrococcus, relative 16S rRNA clone frequency; Methanococcoides, relative 16S rRNA clone frequency; Methanosalsum, relative 16S rRNA clone frequency; Miscellaneous Crenarchaeotic Group, relative 16S rRNA clone frequency; Multicorer with television; NEW VENTS; Nitrospira, relative 16S rRNA clone frequency; Number of clones; PCR using ARCH20Fb (Massana et al., 1997) and Uni1292R (Lane et al., 1985) prime; PCR using GM3/GM4 primer (Muyzer et al., 1993); Planctomycetes, relative 16S rRNA clone frequency; SO191/2; SO191/2_045; SO191/2_078; SO191/3; SO191/3_309-2; SO191/3_315; Sonne; Thermoplasmatales, relative 16S rRNA clone frequency; TVMUC
    Type: Dataset
    Format: text/tab-separated-values, 93 data points
    Location Call Number Expected Availability
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  • 8
    Publication Date: 2024-06-26
    Keywords: BGR; Bundesanstalt für Geowissenschaften und Rohstoffe, Hannover; Equatorial East Pacific; KL; MANGAN; Piston corer (BGR type); SO205; SO205-54-1; SO205-54KL; Sonne
    Type: Dataset
    Format: unknown
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  • 9
    Publication Date: 2024-06-26
    Keywords: BGR; Bundesanstalt für Geowissenschaften und Rohstoffe, Hannover; Equatorial East Pacific; Gravity corer (Kiel type); MANGAN; SL; SO205; SO205-67-1; SO205-67SL; Sonne
    Type: Dataset
    Format: unknown
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  • 10
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    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-06-26
    Keywords: ANT-XXVII/2; AWI_PhyOce; AWI209-6; DATE/TIME; DEPTH, water; Gear identification number; Mooring (long time); MOORY; Physical Oceanography @ AWI; Polarstern; Pressure, water; PS77; Salinity; see comment for gear; Temperature, water; Weddell Sea
    Type: Dataset
    Format: text/tab-separated-values, 211265 data points
    Location Call Number Expected Availability
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