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  • 2015-2019  (1,655)
  • 2005-2009  (803)
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  • 1
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    Deep sequencing and automated histochemistry of human tissue slice cultures improve their usability as preclinical model for cancer research (2019)
    Springer Nature
    Details
    Publication Date: 2019-12-01
    Electronic ISSN: 2045-2322
    Topics: Natural Sciences in General
    Published by Springer Nature
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    PAPER CURRENT
  • 2
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    Climate change impeded the re-oligotrophication of the Saidenbach Reservoir (2015)
    Wiley
    Details
    Publication Date: 2015-04-23
    Print ISSN: 1434-2944
    Electronic ISSN: 1522-2632
    Topics: Biology
    Published by Wiley
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    PAPER CURRENT
  • 3
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    Underway CTD measurements during Akademik Tryoshnikov cruise AT2018 to the Arctic Ocean (2019)
    PANGAEA
    Details
    Publication Date: 2023-03-16
    Description: Underway (U)CTD data were collected during an August-September 2018 expedition to the Arctic Ocean aboard the RV Akademik Tryoshnikov, and was a joint expedition between the German-Russian project CATS (Changing Arctic Transpolar System) and the US-Russian project NABOS (Nansen and Amundsen Basin Observing System). The UCTD was operated mostly in yoyo-mode during selected transects between the shelf and the basin across the continental slope of the Eurasian Basin while the ship was transiting with 8 - 14 knots. The UCTD probe records the start time of the measurements and stores 16 samples each second internally. The exact location of each profile was subsequently found based on the time stamp from the cruise track. The unpumped conductivity sensor has a slower response time than the temperature sensor, which makes the computation of salinity from conductivity and temperature potentially spiky, especially in the pycnocline or in frontal regions. We followed the recommendation of the manufacturer to calculate salinity with Seabird processing software. In shallower waters (〈200m), the water column was profiled all the way to the seafloor, while in deeper waters, only the upper 200-350m were sampled. Shipboard echo soundings were not available, actual water depths at the profile locations need to be extracted from bathymetric charts (for instance IBCAO ). The UCTD was calibrated against a Seabird 911 CTD during the cruise. Temperature measurements were comparable to the ship's CTD and remained uncorrected, the processed salinities include a salinity correction based on a deviation from the ship's CTD.
    Keywords: 1; 10; 100; 101; 102; 103; 104; 105; 106; 107; 108; 109; 11; 110; 111; 112; 113; 114; 115; 116; 117; 118; 119; 12; 120; 121; 122; 123; 124; 125; 126; 127; 128; 129; 13; 130; 131; 132; 133; 134; 135; 136; 137; 138; 139; 14; 140; 141; 142; 143; 144; 145; 146; 147; 148; 149; 15; 150; 151; 152; 153; 154; 155; 156; 157; 158; 159; 16; 160; 161; 162; 163; 164; 165; 166; 167; 168; 169; 17; 170; 171; 172; 173; 174; 175; 176; 177; 178; 179; 18; 180; 181; 182; 183; 184; 185; 19; 2; 20; 21; 22; 23; 24; 25; 26; 27; 28; 29; 3; 30; 31; 32; 33; 34; 35; 36; 37; 38; 39; 4; 40; 41; 42; 43; 44; 45; 46; 47; 48; 49; 5; 50; 51; 52; 53; 54; 55; 56; 57; 58; 59; 6; 60; 61; 62; 63; 64; 65; 66; 67; 68; 69; 7; 70; 71; 72; 73; 74; 75; 76; 77; 78; 79; 8; 80; 81; 82; 83; 84; 85; 86; 87; 88; 89; 9; 90; 91; 92; 93; 94; 95; 96; 97; 98; 99; Akademik Tryoshnikov; Arctic Ocean; AT18_005-1; AT18_005-10; AT18_005-11; AT18_005-12; AT18_005-13; AT18_005-16; AT18_005-17; AT18_005-18; AT18_005-19; AT18_005-2; AT18_005-20; AT18_005-25; AT18_005-26; AT18_005-3; AT18_005-4; AT18_005-5; AT18_005-6; AT18_005-7; AT18_005-8; AT18_005-9; AT18_010-1; AT18_010-10; AT18_010-11; AT18_010-12; AT18_010-13; AT18_010-14; AT18_010-15; AT18_010-16; AT18_010-17; AT18_010-18; AT18_010-19; AT18_010-2; AT18_010-20; AT18_010-21; AT18_010-22; AT18_010-23; AT18_010-24; AT18_010-25; AT18_010-26; AT18_010-27; AT18_010-28; AT18_010-29; AT18_010-3; AT18_010-30; AT18_010-31; AT18_010-32; AT18_010-33; AT18_010-34; AT18_010-35; AT18_010-36; AT18_010-37; AT18_010-38; AT18_010-39; AT18_010-4; AT18_010-40; AT18_010-41; AT18_010-42; AT18_010-43; AT18_010-44; AT18_010-45; AT18_010-46; AT18_010-47; AT18_010-48; AT18_010-49; AT18_010-5; AT18_010-51; AT18_010-52; AT18_010-54; AT18_010-55; AT18_010-6; AT18_010-7; AT18_010-8; AT18_010-9; AT18_015-1; AT18_015-10; AT18_015-11; AT18_015-12; AT18_015-13; AT18_015-14; AT18_015-15; AT18_015-16; AT18_015-17; AT18_015-18; AT18_015-19; AT18_015-2; AT18_015-20; AT18_015-21; AT18_015-22; AT18_015-3; AT18_015-4; AT18_015-5; AT18_015-6; AT18_015-7; AT18_015-8; AT18_015-9; AT18_019_4-1; AT18_019_4-10; AT18_019_4-11; AT18_019_4-12; AT18_019_4-13; AT18_019_4-14; AT18_019_4-15; AT18_019_4-2; AT18_019_4-3; AT18_019_4-4; AT18_019_4-5; AT18_019_4-6; AT18_019_4-7; AT18_019_4-8; AT18_019_4-9; AT18_027-1; AT18_027-10; AT18_027-11; AT18_027-12; AT18_027-13; AT18_027-14; AT18_027-15; AT18_027-16; AT18_027-17; AT18_027-18; AT18_027-19; AT18_027-2; AT18_027-20; AT18_027-21; AT18_027-22; AT18_027-23; AT18_027-24; AT18_027-25; AT18_027-26; AT18_027-27; AT18_027-28; AT18_027-29; AT18_027-3; AT18_027-30; AT18_027-31; AT18_027-32; AT18_027-33; AT18_027-34; AT18_027-35; AT18_027-36; AT18_027-37; AT18_027-4; AT18_027-5; AT18_027-6; AT18_027-7; AT18_027-8; AT18_027-9; AT18_101-1; AT18_101-10; AT18_101-11; AT18_101-12; AT18_101-13; AT18_101-14; AT18_101-15; AT18_101-16; AT18_101-17; AT18_101-18; AT18_101-19; AT18_101-2; AT18_101-20; AT18_101-21; AT18_101-22; AT18_101-23; AT18_101-24; AT18_101-25; AT18_101-26; AT18_101-27; AT18_101-28; AT18_101-29; AT18_101-3; AT18_101-30; AT18_101-31; AT18_101-32; AT18_101-33; AT18_101-34; AT18_101-35; AT18_101-36; AT18_101-37; AT18_101-38; AT18_101-4; AT18_101-5; AT18_101-6; AT18_101-7; AT18_101-8; AT18_101-9; AT2018, TICE, NABOS; AWI_PhyOce; Campaign of event; CATS; CATS - The Changing Arctic Transpolar System; CTD, underway; CTD-UW; Date/Time of event; DEPTH, water; East Siberian Sea; Event label; Laptev Sea; Latitude of event; Longitude of event; Optional event label; Physical Oceanography @ AWI; Pressure, water; Salinity; shelf-basin transects; Temperature, water; Transdrift-XXIV; underway CTD; UnderwayCTD (UCTD), Oceanscience
    Type: Dataset
    Format: text/tab-separated-values, 84081 data points
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    DATA PANGAEA
  • 4
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    Pore water chemistry, grain sizes and sediment temperature of 4 sediment cores from submarine permafrost at Mamontov Klyk Cape, Laptev Sea shelf (2018)
    PANGAEA
    In:  Supplement to: Mitzscherling, Julia; Horn, Fabian; Winterfeld, Maria; Mahler, Linda; Kallmeyer, Jens; Overduin, Pier Paul; Schirrmeister, Lutz; Winkel, Matthias; Grigoriev, Mikhail N; Wagner, Dirk; Liebner, Susanne (2019): Microbial community composition and abundance after millennia of submarine permafrost warming. Biogeosciences, 16(19), 3941-3958, https://doi.org/10.5194/bg-16-3941-2019
    Details
    Publication Date: 2023-03-07
    Description: The mobilization of carbon in degrading permafrost is a long-term process and an important feedback upon climate change. Under submarine conditions substantial permafrost warming occurs millennia before permafrost thaws, potentially stimulating microbial communities. How microbial community composition and abundance responded to millennial-scale permafrost warming remains, however, unkown. We measured the in situ development of bacterial community composition and abundance together with temperature, salinity and pore water chemistry along an onshore-offshore transect on the Siberian Arctic Shelf. Samples derived from ice-bonded terrestrial permafrost comparable in age and sedimentation history that had been warming by more than 10 °C over the last 2500 years. Bacterial assemblages identified through amplicon sequencing correlated only weakly with temperature but strongly with pore water stable isotope signatures. They showed a significant spatial variation. Bacterial 16S rRNA gene copies quantified through qPCR negatively correlated with rising temperature, while both gene copies and total cell counts negatively correlated with increasing pore water salinity. Correlations of microbial community composition and abundance to stable isotope signatures and pore water salinity imply that they still mainly reflect the sedimentation history. On time-scales of centuries, permafrost warming coincided with decreasing microbial abundances, whereas millennia after inundation, microbial cell abundance was similar to onshore permafrost. We suggest that, as long as permafrost remains frozen the effect of warming alone on the permafrost-carbon-feedback is marginally even on time-scales of millennia because it has an overall low-level effect on microbial community composition and abundance.
    Keywords: AWI_PerDyn; Permafrost Research (Periglacial Dynamics) @ AWI
    Type: Dataset
    Format: application/zip, 4 datasets
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    DATA PANGAEA
  • 5
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    Mesocosm experiment on warming and acidification effects in 2012: Microzooplankton cell size (2016)
    PANGAEA
    Details
    Publication Date: 2023-02-24
    Keywords: BIOACID; Biological Impacts of Ocean Acidification; Cell, diameter; Cell biovolume; Cell size; Taxon/taxa
    Type: Dataset
    Format: text/tab-separated-values, 620 data points
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  • 6
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    Individual codes, GenBank accession numbers and GenBank accession links for marine sponge-associated microbial metagenomes (2016)
    PANGAEA
    In:  Supplement to: Horn, Hannes; Slaby, Beate M; Jahn, Martin T; Bayer, Kristina; Moitinho-Silva, Lucas; Förster, Frank; Abdelmohsen, Usama Ramadan; Hentschel, Ute (2016): An Enrichment of CRISPR and Other Defense-Related Features in Marine Sponge-Associated Microbial Metagenomes. Frontiers in Microbiology, 7:1751, https://doi.org/10.3389/fmicb.2016.01751
    Details
    Publication Date: 2023-03-08
    Description: Dataset contains metainformation to the samples used in the given pulication: links to Bioprojects, Biosamples, metagenome assemblies and raw data.
    Keywords: Accession number; Accession number, link; Area/locality; Date/Time of event; Depth, bottom/max; Depth, top/min; DIVER; Event label; Latitude of event; Longitude of event; Milos_052013; Piran_052013; Piran, Slovenia; Project; Sample ID; Sample type; Sampling by diver; Sequence identifier; Species; Sponge Milos Collection
    Type: Dataset
    Format: text/tab-separated-values, 39 data points
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  • 7
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    Near-surface atmospheric vapour and oceanic surface water isotopic compositions calibrated data from POLARSTERN cruises, 2015-2017 (2019)
    PANGAEA
    Details
    Publication Date: 2023-03-17
    Description: Here, we present a new isotopic dataset of near-surface water vapour and oceanic surface water continuously surveyed from the Polarstern research vessel during a period of two years from 2015-06-29 to 2017-07-01. The dataset covers areas spanning from the North Pole to the coasts of Antarctica in the Atlantic sector. Water vapour observations have been measured continuously on-board using a Cavity Ring-Down Spectrometer from a 29 m elevation above the sea level. The oceanic water has been sampled on a daily basis and later analyzed for water isotopic composition at the Alfred Wegener Institut laboratory in Potsdam, Germany. These observations contribute to better understand the creation of the first water vapour isotopic signal during oceanic evaporation. They reveal that the vapour deuterium excess within the atmospheric boundary layer is not modulated by wind speed, contrary to the commonly used theory, but controlled by relative humidity and sea surface temperature only. In sea ice covered regions, the sublimation of deposited snow on sea ice is also revealed as a key process controlling the local water vapour isotopic composition.
    Keywords: AWI_Envi; ISOARC; Isotope signature of water vapour over the Arctic Ocean; Polar Terrestrial Environmental Systems @ AWI
    Type: Dataset
    Format: application/zip, 40 datasets
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    DATA PANGAEA
  • 8
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    Taxonomic identifiation, anti-trypanosomal activity, metabolomics analyses and GenBank accession data of Mediterranean marine sponge associated actinomycetes (2015)
    PANGAEA
    In:  Supplement to: Cheng, Cheng; MacIntyre, Lynsey; Abdelmohsen, Usama Ramadan; Horn, Hannes; Polymenakou, Paraskevi; Edrada-Ebel, RuAngelie; Hentschel, Ute (2015): Biodiversity, Anti-Trypanosomal Activity Screening, and Metabolomic Profiling of Actinomycetes Isolated from Mediterranean Sponges. PLoS ONE, 10(9), e0138528, https://doi.org/10.1371/journal.pone.0138528
    Details
    Publication Date: 2023-01-13
    Description: Marine sponge-associated actinomycetes are considered as promising sources for the discovery of novel biologically active compounds. In the present study, a total of 64 actinomycetes were isolated from 12 different marine sponge species that had been collected offshore the islands of Milos and Crete, Greece, eastern Mediterranean. The isolates were affiliated to 23 genera representing 8 different suborders based on nearly full length 16S rRNA gene sequencing. Four putatively novel species belonging to genera Geodermatophilus, Microlunatus, Rhodococcus and Actinomycetospora were identified based on a 16S rRNA gene sequence similarity of 〈 98.5% to currently described strains. Eight actinomycete isolates showed bioactivities against Trypanosma brucei brucei TC221 with half maximal inhibitory concentration (IC50) values 〈20 µg/mL. Thirty four isolates from the Milos collection and 12 isolates from the Crete collection were subjected to metabolomic analysis using high resolution LC-MS and NMR for dereplication purposes. Two isolates belonging to the genera Streptomyces (SBT348) and Micromonospora (SBT687) were prioritized based on their distinct chemistry profiles as well as their anti-trypanosomal activities. These findings demonstrated the feasibility and efficacy of utilizing metabolomics tools to prioritize chemically unique strains from microorganism collections and further highlight sponges as rich source for novel and bioactive actinomycetes.
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 9
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    Assessment of wet mass, dry mass, ash mass, ash free dry mass, carbon content and nitrogen content of selected coastal bird species and harbor seal tissues (2018)
    PANGAEA
    In:  Alfred Wegener Institute - Wadden Sea Station Sylt | Supplement to: Horn, Sabine; de la Vega, Camille (2016): Relationships between fresh weight, dry weight, ash free dry weight, carbon and nitrogen content for selected vertebrates. Journal of Experimental Marine Biology and Ecology, 481, 41-48, https://doi.org/10.1016/j.jembe.2016.04.010
    Details
    Publication Date: 2023-01-13
    Description: Top predators are relevant indicators of the ecological status of a system and can have a high impact on food webs. But top predators are difficult to include in network analyses because their biomass in ash free dry weight or carbon content is missing. Regression equations were determined for the relationships between fresh weight and dry weight, ash free dry weight, carbon and nitrogen contents respectively for six of the most abundant bird species in the Wadden Sea (Calidris canutus, Limosa lapponica, Haematopus ostralegus, Chroicocephalus ridibundus, Larus canus, Anas penelope) and harbor seals (Phoca vitulina). The relationships for all species were interpreted as linear through the origin. Carbon content vs. fresh weight ratios for birds ranged from 0.16 ± 0.01 to 0.22 ± 0.02. Carbon content vs. fresh weight ratio was 0.17 ± 0.02 on average for harbor seals. This work highlights that the biomass of top predators was often over- or underestimated in previous studies. The determined conversion factors will be useful for future studies to generate more realistic food web models.
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 10
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    Individual codes, GenBank accession numbers and GenBank accession links for Mediterranean sponges (2015)
    PANGAEA
    In:  Supplement to: Horn, Hannes; Cheng, Cheng; Edrada-Ebel, RuAngelie; Hentschel, Ute; Abdelmohsen, Usama Ramadan (2015): Draft genome sequences of three chemically rich actinomycetes isolated from Mediterranean sponges. Marine Genomics, https://doi.org/10.1016/j.margen.2015.10.003
    Details
    Publication Date: 2023-01-13
    Description: Metabolomic analysis has shown the chemical richness of the sponge-associated actinomycetes Streptomyces sp. SBT349, Nonomureae sp. SBT364, and Nocardiopsis sp. SBT366. The genomes of these actinomycetes were sequenced and the genomic potential for secondary metabolism was evaluated. Their draft genomes have sizes of 8.0, 10, and 5.8Mb having 687, 367, and 179 contigs with a GC content of 71.6, 70.7, and 72.7%, respectively. Moreover, antiSMASH 3.0 predicted 108, 149, and 75 secondary metabolite gene clusters, respectively which highlight the metabolic capacity of the three actinomycete species to produce diverse classes of natural products.
    Keywords: Accession number; Accession number, link; Area/locality; Date/Time of event; Depth, bottom/max; Depth, top/min; DIVER; Latitude of event; Longitude of event; Milos_052013; Sample code/label; Sampling by diver; Species code; Sponge Milos Collection
    Type: Dataset
    Format: text/tab-separated-values, 21 data points
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