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  • PANGAEA  (13)
  • Elsevier  (1)
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  • 1
  • 2
    Publication Date: 2024-04-13
    Description: All sediment samples were obtained from four stations close to the coast and within 1 km distance to each other (station 5: 78.11°N 14.35°E; station 6: 78.10°N 14.38°E; station 7: 78.10°N 14.38°E; station 23: 78.10°N 14.39°E) in Isfjorden, Svalbard, Arctic Ocean. The sampling was performed with a Van Veen grab deployed from R/V Farm. Six repeated sediment sampling campaigns took place between December 2017 and September 2019 (for further details see Miksch et al. 2020) Particle-size measurements were performed in the Particle-Size Laboratory at MARUM, University of Bremen with a Beckman Coulter Laser Diffraction Particle Size Analyzer LS 13320. Prior to the measurements, the samples were boiled with approximately 0.3 g tetra-sodium diphosphate decahydrate (Na~4~P~2~O~7~ * 10H~2~O, 3 min) to destroy aggregates. Sample preparation and measurements were carried out with deionized, degassed and filtered water (filter mesh size: 0.2 µm) to reduce the potential influence of gas bubbles or particles within the water. The obtained results provide the particle-size distribution of a sample from 0.04 to 2000 μm divided in 116 size classes. The calculation of the particle sizes relies on the Fraunhofer diffraction theory and the Polarization Intensity Differential Scattering (PIDS) for particles from 0.4 to 2000 µm and from 0.04 to 0.4 µm, respectively. The reproducibility is checked regularly by replicate analyses of three internal glass-bead standards and is found to be better than ±0.7 µm for the mean and ±0.6 µm for the median particle size (1 sigma). The average standard deviation integrated over all size classes is better than ±4 vol% (note that the standard deviation of the individual size classes is not distributed uniformly). All provided statistic values are based on a geometric statistic.
    Keywords: Isfjorden; Seasonal grain-size distribution; Svalbard
    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: Schauer, Regina; Røy, Hans; Augustin, Nico; Gennerich, Hans-Hermann; Peters, Marc; Wenzhöfer, Frank; Amann, Rudolf; Meyerdierks, Anke (2011): Bacterial sulfur cycling shapes microbial communities in surface sediments of an ultramafic hydrothermal vent field. Environmental Microbiology, 13(10), 2633-2648, https://doi.org/10.1111/j.1462-2920.2011.02530.x
    Publication Date: 2024-04-13
    Description: The ultramafic-hosted Logatchev hydrothermal field (LHF) is characterized by vent fluids, which are enriched in dissolved hydrogen and methane compared with fluids from basalt-hosted systems. Thick sediment layers in LHF are partly covered by characteristic white mats. In this study, these sediments were investigated in order to determine biogeochemical processes and key organisms relevant for primary production. Temperature profiling at two mat-covered sites showed a conductive heating of the sediments. Elemental sulfur was detected in the overlying mat and metal-sulfides in the upper sediment layer. Microprofiles revealed an intensive hydrogen sulfide flux from deeper sediment layers. Fluorescence in situ hybridization showed that filamentous and vibrioid, Arcobacter-related Epsilonproteobacteria dominated the overlying mats. This is in contrast to sulfidic sediments in basalt-hosted fields where mats of similar appearance are composed of large sulfur-oxidizing Gammaproteobacteria. Epsilonproteobacteria (7- 21%) and Deltaproteobacteria (20-21%) were highly abundant in the surface sediment layer. The physiology of the closest cultivated relatives, revealed by comparative 16S rRNA sequence analysis, was characterized by the capability to metabolize sulfur com- ponents. High sulfate reduction rates as well as sulfide depleted in 34S further confirmed the importance of the biogeochemical sulfur cycle. In contrast, methane was found to be of minor relevance for microbial life in mat-covered surface sediments. Our data indicate that in conductively heated surface sediments microbial sulfur cycling is the driving force for bacterial biomass production although ultramafic- hosted systems are characterized by fluids with high levels of dissolved methane and hydrogen.
    Type: Dataset
    Format: application/pdf, 990.6 kBytes
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  • 4
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    Unknown
    PANGAEA
    In:  Supplement to: Meier, Dimitri V; Pjevac, Petra; Bach, Wolfgang; Hourdez, Stéphane; Girguis, Peter R; Vidoudez, Charles; Amann, Rudolf; Meyerdierks, Anke (2017): Niche partitioning of diverse sulfur-oxidizing bacteria at hydrothermal vents. The ISME Journal, 11(7), 1545-1558, https://doi.org/10.1038/ismej.2017.37
    Publication Date: 2024-04-13
    Description: Thirtythree diffuse fluid and water column samples and 23 samples from surfaces of chimneys, rocks and fauna were subjected to a combined analyses of 16S rRNA gene sequences, metagenomes and real-time in situ measured geochemical parameters to study distribution and niche-partitioning of sulfur-oxidizing bacteria (SOB) in deep-sea hydrothermal environments of the Manus Basin, a back-arc fast-spreading center located between New Britain and New Ireland in the Bismarck Sea. High throughput 16S rRNA gene amplicon sequences obtained by Illumina paired-end sequencing using the primer combination Bakt_341F and Bakt_805R for all samples were analyzed as well as full-length 16S rRNA genes using a Pacific Biosciences RSII sequencer. Additionally, 5 metagenomes were sequenced (Illumina HiSeq 2500, paired-end shotgun), assembled, binned, and re-binned, resulting in 11 Sulfurovum-related, 5 Sulfurimonas-related and 12 SUP05-clade bins. These bins were analyzed with respect to genomic variability among hydrothermal vent SOB and especially with respect to the differentiation of their sulfur oxidation genes. Correlating distribution patterns to real-time geochemical data, tentative niches could be assigned to key hydrothermal SOB clades: Sulfurovum Epsilonproteobacteria were mainly found attached to surfaces exposed to diffuse venting, while the SUP05-clade dominated the bacterioplankton in highly diluted mixtures of vent fluids and seawater. The high diversity within Sulfurimonas- and Sulfurovum-related Epsilonproteobacteria observed in this study was proposed to be derived from the high variation of environmental parameters such as oxygen and sulfide concentrations across small spatial and temporal scales.
    Keywords: BAMBUS; Bismarck Sea; Carbon, inorganic, dissolved; Center for Marine Environmental Sciences; CTD/Rosette; CTD-RO; DEPTH, water; Event label; Hydrogen sulfide; LATITUDE; LONGITUDE; MARUM; Methane; Oxygen; pH; Remote operated vehicle; ROV; Sample code/label; Sample ID; Sample material; SO216; SO216-1-1; SO216-12-1; SO216-14-1; SO216-19-1; SO216-21-1; SO216-23-1; SO216-25-1; SO216-27-1; SO216-29-1; SO216-31-1; SO216-35-1; SO216-37-1; SO216-39-1; SO216-41-1; SO216-43-1; SO216-45-1; SO216-47-1; SO216-49-1; SO216-53-1; SO216-7-1; Sonne; Temperature, water; Δ G hydrogen sulfide
    Type: Dataset
    Format: text/tab-separated-values, 336 data points
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  • 5
    Publication Date: 2024-04-13
    Description: Chemistry and microbial cell numbers of two bathy- (Brothers volcano; BrV-cone and northwest caldera; NWC) and a mesopelagic (Macauley volcano; McV) plumes on the Kermadec intra-oceanic arc in the South Pacific Ocean. The microbial cell numbers were determined using Catalyzed reporter deposition fluorescence in situ hybridization (CARD-FISH). Chemical measurements of DFe, DOC, TDN, PO4, NOx and SPE-DOC in the plumes are given.
    Keywords: Analysis; Archaea, targed with ARCH915 oligonucleotide FISH-probe; Bacteria, targed with EUB338(I-III) oligonucleotide FISH-probe; Candidatus Thioglobus; Carbon, organic, dissolved; Carbon, organic, dissolved, extracted; Catalysed reporter deposition-fluorescence in situ hybridization (CARD-FISH); Colorimetric analysis; CTD, SEA-BIRD SBE 9 plus; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Event label; Gammaproteobacteria, targed with the SUP05_1241 oligonucleotide FISH-probe; Gammaproteobacteria, targeted with Gam42a oligonucleotide FISH-probe; High Resolution Sector Field Inductively Coupled Plasma Mass Spectrometry; High temperature catalytic combustion; HR-SF-ICP-MS; Hydrogen sulfide; HYDROTHERMADEC; intraoceanic arc; Iron, dissolved; Latitude of event; Location; Longitude of event; metabolic flexibility; Metagenome; metatranscriptome; microbial ecology; Modeled; Nitrogen, total dissolved; Nitrogen oxide; Origin; Oxygen; pH; Phosphate; Prokaryotic cell abundance; Sample ID; SO253; SO253_10-1; SO253_1-1; SO253_4-1; SO253_49-1; SO253_54-1; SO253_79-1; Solid-phase extracted (Dittmer etal, 2008); Sonne_2; South Pacific Ocean; SPE; Temperature, water; Turbidity (Nephelometric turbidity unit); Type; volcanic arc
    Type: Dataset
    Format: text/tab-separated-values, 526 data points
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  • 6
    Publication Date: 2024-04-13
    Description: In this dataset, seven inactive massive sulfide chimneys, collected in the Manus Basin (Bismarck Sea, Papua New Guinea, SW Pacific) during SONNE cruise SO216 in 2011, are characterized with respect to mineralogical and geochemical composition as well as age. The samples originate from the PACManus (Snowcap, Fenway, Satanic Mills, Solwara 6, Solwara 8) and SuSu Knolls (North Su) hydrothermal vent fields that emit highly sulfidic fluids and feature poly-metallic sulfide chimneys and mounds. They were collected by the ROV QUEST (Marum Bremen) with the ROV's hydraulic arm. Ore petrology was performed on polished thin sections and shows that the chimneys were mainly composed of chalcopyrite (CuFeS₂), pyrite/marcasite (FeS₂), sphalerite (Zn(Fe)S), and bornite (Cu₅FeS₄) with a suite of other minor to rare minerals. The bulk geochemistry of the samples was determined on representative samples (several tens to hundreds of grams) by a combination of methods including ICP-OES, ICP-MS and Instrumental Neutron Activation. Some samples show elevated As-and Pb-concentrations (up to 3.2 wt.% As; up to 2.0 wt.% Pb), which is also reflected in the presence of tennantite and galena as well as other sulfosalts in thin sections. Five of the seven collected inactive chimney samples were dated using the ²²⁶Ra/Ba method. The youngest, yet clearly inactive sample was StM-R2 (Satanic Mills; 0 y ± 160 y) followed by Fw-R1 (Fenway; 1400 y ± 160 y), Sol8-R1 (Solwara 8; 1800 y ± 160 y) and Sol6-R1 (Solwara 6; 2093 y ± 267 y). The oldest dated chimney was NSu-R7 (North Su; 3183 y ± 236 y). The chimney samples were part of a study, in which 16S rRNA gene based community profiling of active (n=6) and inactive (n=7) sulfide chimneys from the Manus Basin (SW Pacific) was conducted. The diversity information in combination with radiometric dating was used to select a subset of inactive sulfide chimneys of different age for functional analyses on metagenomic (n=4) and metaproteomic (n=1) level.
    Keywords: Age; AGE; Age, range; Antimony; Arsenic; BAMBUS; Barium; Bismarck Sea; Bismuth; Cadmium; Calcium; Chromium; Cobalt; Copper; DEPTH, water; Description; Event label; Gallium; Germanium; Gold; hydrothermal vent; Indium; Iron; LATITUDE; Lead; LONGITUDE; Manganese; Mercury; mineral weathering; Molybdenum; Name; Nickel; Oxygen; Radium-226, standard deviation; Radium-226/Barium activity ratio; Radium-226/Barium activity ratio, standard deviation; Radium-226 activity per mass; Remote operated vehicle; ROV; Sample ID; Sample type; Selenium; Silicon dioxide; Silver; SO216; SO216-27-1; SO216-29-1; SO216-31-1; SO216-43-1; SO216-47-1; SO216-49-1; SO216-53-1; Sonne; Status; Strontium; Sulfur, elemental; sulphide chimney; Tellurium; Tin; Titanium; Zinc
    Type: Dataset
    Format: text/tab-separated-values, 267 data points
    Location Call Number Expected Availability
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  • 7
    Publication Date: 2024-04-13
    Keywords: Alphaproteobacteria, targeted with ALF968 oligonucleotides FISH-probe; Archaea, targed with ARCH915 oligonucleotide FISH-probe; Bacteria, targed with EUB338(I-III) oligonucleotide FISH-probe; Bacteria, targed with the ALV735/ALV735 oligonucleotide FISH-probe; Center for Marine Environmental Sciences; CTD/Rosette; CTD-RO; DEPTH, water; Event label; Gammaproteobacteria, targed with the EPSY549/EPS914 oligonucleotide FISH-probe; Gammaproteobacteria, targed with the SUP05_1241 oligonucleotide FISH-probe; Gammaproteobacteria, targeted with Gam42a oligonucleotide FISH-probe; LATITUDE; LONGITUDE; M82/3; M82/3_716-1; M82/3_718-1; M82/3_726-1; M82/3_727-1; M82/3_729-1; M82/3_736-1; M82/3_743-1; M82/3_750-1; M82/3_756-1; M82/3_761-1; MARUM; Meteor (1986); Prokaryotic cell abundance; Remote operated vehicle; ROV; Sample ID; SAR11
    Type: Dataset
    Format: text/tab-separated-values, 109 data points
    Location Call Number Expected Availability
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  • 8
    Publication Date: 2024-04-13
    Keywords: Beckman Coulter Laser diffraction particle size analyzer LS 13 320; DATE/TIME; DEPTH, sediment/rock; German Bight; German Bight, North Sea; Helgoland; HelgolandRoads_site; Kabeltonne; Sample code/label; Seasonal grain-size distribution; Size fraction 0.044-0.04 µm; Size fraction 0.048-0.044 µm; Size fraction 0.053-0.048 µm; Size fraction 0.058-0.053 µm; Size fraction 0.064-0.058 µm; Size fraction 0.07-0.064 µm; Size fraction 0.077-0.07 µm; Size fraction 0.084-0.077 µm; Size fraction 0.093-0.084 µm; Size fraction 0.102-0.093 µm; Size fraction 0.112-0.102 µm; Size fraction 0.123-0.112 µm; Size fraction 0.134-0.123 µm; Size fraction 0.148-0.134 µm; Size fraction 0.162-0.148 µm; Size fraction 0.178-0.162 µm; Size fraction 0.195-0.178 µm; Size fraction 0.214-0.195 µm; Size fraction 0.235-0.214 µm; Size fraction 0.258-0.235 µm; Size fraction 0.284-0.258 µm; Size fraction 0.311-0.284 µm; Size fraction 0.342-0.311 µm; Size fraction 0.375-0.342 µm; Size fraction 0.412-0.375 µm; Size fraction 0.452-0.412 µm; Size fraction 0.496-0.452 µm; Size fraction 0.545-0.496 µm; Size fraction 0.598-0.545 µm; Size fraction 0.657-0.598 µm; Size fraction 0.721-0.657 µm; Size fraction 0.791-0.721 µm; Size fraction 0.869-0.791 µm; Size fraction 0.953-0.869 µm; Size fraction 1.047-0.954 µm; Size fraction 1.149-1.047 µm; Size fraction 1.261-1.149 µm; Size fraction 1.385-1.261 µm; Size fraction 1.520-1.385 µm; Size fraction 1.669-1.520 µm; Size fraction 1.832-1.669 µm; Size fraction 10.78-9.819 µm; Size fraction 101.1-92.1 µm; Size fraction 1041-948.3 µm; Size fraction 11.83-10.78 µm; Size fraction 111-101.1 µm; Size fraction 1143-1041 µm; Size fraction 12.99-11.83 µm; Size fraction 121.8-111 µm; Size fraction 1255-1143 µm; Size fraction 133.7-121.8 µm; Size fraction 1377-1255 µm; Size fraction 14.26-12.99 µm; Size fraction 146.8-133.7 µm; Size fraction 15.65-14.26 µm; Size fraction 1512-1377 µm; Size fraction 161.2-146.8 µm; Size fraction 1660-1512 µm; Size fraction 17.18-15.65 µm; Size fraction 176.9-161.2 µm; Size fraction 18.86-17.18 µm; Size fraction 1822-1660 µm; Size fraction 194.2-176.9 µm; Size fraction 2.000-1.822 mm; Size fraction 2.010-1.832 µm; Size fraction 2.208-2.011 µm; Size fraction 2.423-2.208 µm; Size fraction 2.66-2.423 µm; Size fraction 2.92-2.66 µm; Size fraction 20.70-18.86 µm; Size fraction 213.2-194.2 µm; Size fraction 22.73-20.70 µm; Size fraction 234.1-213.2 µm; Size fraction 24.95-22.73 µm; Size fraction 256.9-234.1 µm; Size fraction 27.38-24.95 µm; Size fraction 282.1-256.9 µm; Size fraction 3.206-2.920 µm; Size fraction 3.519-3.206 µm; Size fraction 3.862-3.519 µm; Size fraction 30.07-27.38 µm; Size fraction 309.6-282.1 µm; Size fraction 33.01-30.07 µm; Size fraction 339.9-309.6 µm; Size fraction 36.24-33.01 µm; Size fraction 373.1-339.9 µm; Size fraction 39.77-36.24 µm; Size fraction 4.241-3.862 µm; Size fraction 4.656-4.241 µm; Size fraction 409.6-373.1 µm; Size fraction 43.67-39.78 µm; Size fraction 449.7-409.6 µm; Size fraction 47.94-43.67 µm; Size fraction 493.6-449.7 µm; Size fraction 5.111-4.656 µm; Size fraction 5.611-5.111 µm; Size fraction 52.63-47.94 µm; Size fraction 541.9-493.6 µm; Size fraction 57.77-52.63 µm; Size fraction 594.9-541.9 µm; Size fraction 6.159-5.611 µm; Size fraction 6.761-6.159 µm; Size fraction 63.42-57.77 µm; Size fraction 653.0-594.9 µm; Size fraction 69.62-63.42 µm; Size fraction 7.421-6.761 µm; Size fraction 716.9-653.0 µm; Size fraction 76.43-69.62 µm; Size fraction 786.9-716.9 µm; Size fraction 8.148-7.422 µm; Size fraction 8.944-8.147 µm; Size fraction 83.90-76.43 µm; Size fraction 863.9-786.9 µm; Size fraction 9.819-8.944 µm; Size fraction 92.1-83.9 µm; Size fraction 948.2-863.9 µm
    Type: Dataset
    Format: text/tab-separated-values, 2223 data points
    Location Call Number Expected Availability
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  • 9
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    Unknown
    PANGAEA
    In:  Supplement to: Meier, Dimitri V; Bach, Wolfgang; Girguis, Peter R; Gruber-Vodicka, Harald R; Reeves, Eoghan P; Richter, Michael; Vidoudez, Charles; Amann, Rudolf; Meyerdierks, Anke (2016): Heterotrophic Proteobacteria in the vicinity of diffuse hydrothermal venting. Environmental Microbiology, 18(12), 4348-4368, https://doi.org/10.1111/1462-2920.13304
    Publication Date: 2024-04-13
    Description: In this study, microbial communities in hydrothermal fluids from four different venting areas (White Flames, Cage Site, Woody and Babylon) within the Menez Gwen hydrothermal field (Mid-Atlantic Ridge) were analyzed. Samples were taken along mixing gradients, including diffuse fluid discharge points, their immediate surroundings, and the buoyant parts of hydrothermal plumes, selected based on visible venting, temperature readings and gas concentrations as indicated by in situ mass spectrometry (ISMS) spectra. High throughput 16S rRNA gene amplicon sequences obtained by Illumina paired-end sequencing using the primer combination Bakt_341F and Bakt_805R were analyzed. Total cell counts were determined and fluorescence in situ hybridization was conducted using probes specific for Archaea and Bacteria as well as for different bacterial subgroups. Additionally, three metagenomes were sequenced (Illumina MiSeq paired-end shotgun), assembled, binned, compared and analyzed for key metabolic pathways. Molecular analyses were combined with geochemical analyses and thermodynamic calculations. The study revealed that close to diffuse venting orifices dominated by chemolithoautotrophic Epsilonproteobacteria, in areas where environmental conditions still supported chemolithoautotrophic processes, microbial communities enriched for versatile heterotrophic Alpha- and Gammaproteobacteria were present. The potential for alkane degradation could be shown for several genera and yet uncultured clades. It was proposed that hotspots of chemolithoautotrophic life support a "belt" of heterotrophic bacteria significantly different from the dominating oligotrophic microbiota of the deep sea.
    Keywords: Center for Marine Environmental Sciences; MARUM
    Type: Dataset
    Format: application/zip, 2 datasets
    Location Call Number Expected Availability
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  • 10
    Publication Date: 2024-04-13
    Description: All sediment samples were obtained from Helgoland Roads (54.18°N, 7.90°E), which is located between the main island and the dune from Helgoland in the North Sea, German Bight, by scientific divers of the Alfred Wegner Institute (Bremerhaven, Germany) using push cores. Repeated sediment sampling was performed on a total of nineteen sampling dates in 2018 and 2019. Particle-size measurements were performed in the Particle-Size Laboratory at MARUM, University of Bremen with a Beckman Coulter Laser Diffraction Particle Size Analyzer LS 13320. Prior to the measurements, the samples were boiled with approximately 0.3 g tetra-sodium diphosphate decahydrate (Na~4~P~2~O~7~ * 10H~2~O, 3 min) to destroy aggregates. Sample preparation and measurements were carried out with deionized, degassed and filtered water (filter mesh size: 0.2 µm) to reduce the potential influence of gas bubbles or particles within the water. The obtained results provide the particle-size distribution of a sample from 0.04 to 2000 μm divided in 116 size classes. The calculation of the particle sizes relies on the Fraunhofer diffraction theory and the Polarization Intensity Differential Scattering (PIDS) for particles from 0.4 to 2000 µm and from 0.04 to 0.4 µm, respectively. The reproducibility is checked regularly by replicate analyses of three internal glass-bead standards and is found to be better than ±0.7 µm for the mean and ±0.6 µm for the median particle size (1sigma). The average standard deviation integrated over all size classes is better than ±4 vol% (note that the standard deviation of the individual size classes is not distributed uniformly). All provided statistic values are based on a geometric statistic.
    Keywords: German Bight; Helgoland; Seasonal grain-size distribution
    Type: Dataset
    Format: application/zip, 2 datasets
    Location Call Number Expected Availability
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