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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Hoffmann, Katy; Bienhold, Christina; Buttigieg, Pier Luigi; Laso-Pérez, Rafael; +3 Authors

    The present study aimed at a first characterization of the enigmatic JTB255 marine benthic group in deep-sea sediments, by: i) confirming the abundance and ubiquitous distribution of JTB255 in deep-sea sediments globally, ii) refining the phylogenetic positioning of the JTB255 clade within the \u03b3-Proteobacteria, iii) distinguishing potential ecotypes within the JTB255 clade, iv) providing first insights into the metabolic potential of deep-sea representatives of this clade. Therefore, two single cell genomes from Arctic HAUSGARTEN deep-se surface sediments were obtained and CARD-FISH counts of total cells, y-Proteobacteria and the JTB255 marine benthic group performed. Supplement to: Hoffmann, Katy; Bienhold, Christina; Buttigieg, Pier Luigi; Knittel, Katrin; Laso-Pérez, Rafael; Rapp, Josephine Z; Boetius, Antje; Offre, Pierre (2020): Diversity and metabolism of Woeseiales bacteria, global members of marine sediment communities. The ISME Journal, 14(4), 1042-1056

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ PANGAEA - Data Publi...arrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    PANGAEA
    Dataset . 2018
    Data sources: B2FIND
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ PANGAEA - Data Publi...arrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      PANGAEA
      Dataset . 2018
      Data sources: B2FIND
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Degen, Renate; Vedenin, Andrey; Gusky, Manuela; Boetius, Antje; +1 Authors

    The few existing studies on macrobenthic communities of the deep Arctic Ocean report low standing stocks, and confirm a gradient with declining biomass from the slopes down to the basins as commonly reported for deep-sea benthos. In this study we have further investigated the relationship of faunal abundance (N), biomass (B) as well as community production (P) with water depth, geographical latitude and sea ice concentration. The underlying dataset combines legacy data from the past 20 years, as well as recent field studies selected according to standardized quality control procedures. Community P/B and production were estimated using the multi-parameter ANN model developed by Brey (2012). We could confirm the previously described negative relationship of water depth and macrofauna standing stock in the Arctic deep-sea. Furthermore, the sea-ice cover increasing with high latitudes, correlated with decreasing abundances of down to < 200 individuals/m**2, biomasses of < 65 mg C/m**2 and P of < 75 mg C/m**2/y. Stations under influence of the seasonal ice zone (SIZ) showed much higher standing stock and P means between 400 - 1400 mg C/m**2/y; even at depths up to 3700 m. We conclude that particle flux is the key factor structuring benthic communities in the deep Arctic ocean, explaining both the low values in the ice-covered Arctic basins and the high values along the SIZ. Supplement to: Degen, Renate; Vedenin, Andrey; Gusky, Manuela; Boetius, Antje; Brey, Thomas (2015): Patterns and trends of macrobenthic abundance, biomass and production in the deep Arctic Ocean. Polar Research, 34(1), 24008

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    PANGAEA
    Dataset . 2014
    Data sources: B2FIND
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      PANGAEA
      Dataset . 2014
      Data sources: B2FIND
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Katlein, Christian; Fernández-Méndez, Mar; Wenzhöfer, Frank; Nicolaus, Marcel;

    The ice cover of the Arctic Ocean has been changing dramatically in the last decades and the consequences for the sea-ice associated ecosystem remain difficult to assess. Algal aggregates underneath sea ice have been described sporadically but the frequency and distribution of their occurrence is not well quantified. We used upward looking images obtained by a remotely operated vehicle (ROV) to derive estimates of ice algal aggregate biomass and to investigate their spatial distribution. During the IceArc expedition (ARK-XXVII/3) of RV Polarstern in late summer 2012, different types of algal aggregates were observed floating underneath various ice types in the Central Arctic basins. Our results show that the floe scale distribution of algal aggregates in late summer is very patchy and determined by the topography of the ice underside, with aggregates collecting in dome shaped structures and at the edges of pressure ridges. The buoyancy of the aggregates was also evident from analysis of the aggregate size distribution. Different approaches used to estimate aggregate biomass yield a wide range of results. This highlights that special care must be taken when upscaling observations and comparing results from surveys conducted using different methods or on different spatial scales. Measurements of solar radiation over and under sea ice as well as surveys of the distribution of algal aggregates under sea ice have been performed on various stations in the Arctic Ocean during the Polarstern cruise ARK-XXVII/3 (IceArc) between 10 August and 29 September 2012. All radiation measurements have been performed with Ramses spectral radiometers (Trios, Rastede, Germany). All data are given in full spectral resolution interpolated to 1.0 nm and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors were mounted on a Remotely Operated Vehicle (ROV) and one radiometer was installed on the sea ice for surface reference measurements (solar irradiance). On the ROV, one irradiance sensor (cos-collector) for energy budget calculations and one radiance sensor (7° opening angle) to obtain high resolution spatial variability were installed. Along with the radiation measurements, sea-ice draft, roughness as well as under-ice aggregate coverage were recorded. Videos were recorded by a camera mounted in an upward looking position onboard a ROV. Still images were extracted each 5 seconds and aggregates detected in the images. Final processed data are provided gridded on a 3x3m grid in local floe coordinates. Supplement to: Katlein, Christian; Fernández-Méndez, Mar; Wenzhöfer, Frank; Nicolaus, Marcel (2014): Distribution of algal aggregates under summer sea ice in the Central Arctic. Polar Biology, Polar Biology, 38(5), 719-731

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    PANGAEA
    Dataset . 2014
    Data sources: B2FIND
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ PANGAEAarrow_drop_down
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      PANGAEA
      Dataset . 2014
      Data sources: B2FIND
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Boetius, Antje; Albrecht, Sebastian; Bakker, Karel; Bienhold, Christina; +14 Authors

    In the Arctic, under-ice primary production is limited to summer months and is not only restricted by ice thickness and snow cover but also by the stratification of the water column, which constrains nutrient supply for algal growth. RV Polarstern visited the ice-covered Eastern Central basins between 82 to 89°N and 30 to 130°E in summer 2012 when Arctic sea ice declined to a record minimum. During this cruise, we observed a widespread deposition of ice algal biomass of on average 9 g C per m**2 to the deep-sea floor of the Central Arctic basins. Data from this cruise will contribute to assessing the impact of current climate change on Arctic productivity, biodiversity, and ecological function. Supplement to: Boetius, Antje; Albrecht, Sebastian; Bakker, Karel; Bienhold, Christina; Felden, Janine; Fernández-Méndez, Mar; Hendricks, Stefan; Katlein, Christian; Lalande, Catherine; Krumpen, Thomas; Nicolaus, Marcel; Peeken, Ilka; Rabe, Benjamin; Rogacheva, Antonina; Rybakova, Elena; Somavilla Cabrillo, Raquel; Wenzhöfer, Frank; ARK-XXVII/3 Shipboard Scientific Party (2013): Export of algal biomass from the melting Arctic sea ice. Science, 339(6126), 1430-1432 Find further datasets for- Continuous meteorological surface measurements (Gert König-Langlo): doi:10.1594/PANGAEA.802840- Physical oceanography from CTD casts (Rabe et al.): doi:10.1594/PANGAEA.802904- Sea ice conditions (Hendricks et al.): doi:10.1594/PANGAEA.803221

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    PANGAEA
    Dataset . 2013
    Data sources: B2FIND
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ PANGAEAarrow_drop_down
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      PANGAEA
      Dataset . 2013
      Data sources: B2FIND
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Fernández-Méndez, Mar; Rabe, Benjamin; Katlein, Christian; Nicolaus, Marcel; +2 Authors

    The ice-covered Central Arctic Ocean is characterized by low primary productivity due to light and nutrient limitations. It has been speculated that the recent reduction in ice cover could lead to a substantial increase in primary production, but still little is known as to the fate of the ice-associated primary production, and of nutrient supply with increasing warming. This study presents results from the Central Arctic Ocean collected during summer 2012, when sea-ice reached a minimum extent since the onset of satellite observations. Net primary productivity (NPP) was measured in water column, sea ice and melt ponds by 14CO2 uptake at different irradiances. Photosynthesis vs. irradiance (PI) curves were established in laboratory experiments and used to upscale measured NPP to the deep Eurasian Basin (north of 78°N) using the irradiance-based Central Arctic Ocean Primary Productivity model (CAOPP). In addition, new annual production was calculated from the seasonal nutrient drawdown in the mixed layer since last winter. Results show that ice algae can contribute up to 60% to primary production in the Central Arctic at the end of the season. The ice-covered water column had lower NPP rates than open water probably due to light limitation. According to the nutrient ratios in the euphotic zone, nitrate limitation was detected in the Siberian Seas (Laptev Sea area), while silicate was the main limiting nutrient at the ice margin influenced by Atlantic waters. Although sea-ice cover was substantially reduced in 2012, total annual new production in the Eurasian Basin was 17 ± 7 Tg C/yr, which is similar to previous estimates. However, when including the contribution by sub-ice algal filaments, the annual production for the deep Eurasian Basin (north of 78°N) is 16 Tg C/yr higher than estimated before. Our data suggest that sub-ice algae might be responsible for potential local increases in NPP due to higher light availability under the ice, and their ability to benefit from a wider area of nutrients as they drift with the ice. Supplement to: Fernández-Méndez, Mar; Katlein, Christian; Rabe, Benjamin; Nicolaus, Marcel; Peeken, Ilka; Bakker, Karel; Flores, Hauke; Boetius, Antje (2015): Photosynthetic production in the central Arctic Ocean during the record sea-ice minimum in 2012. Biogeosciences, 12, 3525-3549

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    PANGAEA
    Dataset . 2014
    Data sources: B2FIND
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      PANGAEA
      Dataset . 2014
      Data sources: B2FIND
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    Authors: Braeckman, Ulrike; Janssen, Felix; Lavik, Gaute; Elvert, Marcus; +4 Authors

    This is a dataset from an in situ experiment at station S2 from the LTER monitoring site HAUSGARTEN, performed in June-July 2013 during Maria S Merian expedition MSM29. The in situ responses of Arctic deep-sea benthos to input of phytodetritus of a diatom (Thalassiosira sp.) as opposed to a coccolithophorid (Emiliania huxleyi) were investigated in incubation chambers of benthic landers. Using 13C and 15N labelled phytodetritus harvested from cultures of these species, we traced the fate of the respective phytodetritus into different parts of the food web (respiration, assimilation by bacteria and infauna >250 µm), in a short (4d) and long (14d) term experiment.The benthic landers were lowered to the sea floor, where they enclosed ~ 20cm of sediment and ~10 cm of overlying water. During respectively 4d and 14d, the temperature and concentrations of O2, DIC, 13C-DIC, NHx, NOx, 15N-NH4, 15N-NOx were measured. Upon recovery of the landers, the sediment was retrieved and subsampled in vertical horizons to measure pigment, TOC and TN, 13C-POC and 15N-PN concentrations, pore water concentrations of DIC, 13C-DIC, NHx, NOx, 15N-NH4 and 15N-NOx and the assimilation of 13C in bacterial fatty acids (iC15:0 and aiC15:0) and in fauna > 250 µm Supplement to: Braeckman, Ulrike; Janssen, Felix; Lavik, Gaute; Elvert, Marcus; Marchant, Hannah K; Buckner, Caroline; Bienhold, Christina; Wenzhöfer, Frank (2018): Carbon and nitrogen turnover in the Arctic deep sea: in situ benthic community response to diatom and coccolithophorid phytodetritus. Biogeosciences, 15(21), 6537-6557

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    PANGAEA
    Dataset . 2018
    Data sources: B2FIND
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      PANGAEA
      Dataset . 2018
      Data sources: B2FIND
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    Authors: Rossel, Pamela E; Bienhold, Christina; Boetius, Antje; Dittmar, Thorsten;

    Marine organic matter (OM) sinks from surface waters to the seafloor via the biological pump. Benthic communities, which use this sedimented OM as energy and carbon source, produce dissolved organic matter (DOM) in the process of remineralization, enriching the sediment porewater with fresh DOM compounds. We hypothesized that in the oligotrophic deep Arctic basin the molecular signal of freshly deposited primary produced OM is restricted to the surface sediment pore waters which should differ from bottom water and deeper sediment pore water in DOM composition. This study focused on: 1) the molecular composition of the DOM in sediment pore waters of the deep Eurasian Arctic basins, 2) whether the signal of marine vs. terrigenous DOM is represented by different compounds preserved in the sediment pore waters and 3) whether there is any relation between Arctic Ocean ice cover and DOM composition. Molecular data, obtained via 15 Tesla Fourier transform ion cyclotron resonance mass spectrometer, were correlated with environmental parameters by partial least square analysis. The fresher marine detrital OM signal from surface waters was limited to pore waters from < 5 cm sediment depth. The productive ice margin stations showed higher abundances of peptides, unsaturated aliphatics and saturated fatty acids formulae, indicative of fresh OM/pigments deposition, compared to northernmost stations which had stronger aromatic signals. This study contributes to the understanding of the coupling between the Arctic Ocean productivity and its depositional regime, and how it will be altered in response to sea ice retreat and increasing river runoff. Supplement to: Rossel, Pamela E; Bienhold, Christina; Boetius, Antje; Dittmar, Thorsten (2016): Dissolved organic matter in pore water of Arctic Ocean sediments: Environmental influence on molecular composition. Organic Geochemistry, 97, 41-52 This is a contribution to the European Research Council Advanced Investigator Grant 294757 to Antje Boetius.

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    PANGAEA
    Dataset . 2016
    Data sources: B2FIND
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      PANGAEA
      Dataset . 2016
      Data sources: B2FIND
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    Authors: Hassenrück, Christiane; Tegetmeyer, Halina; Ramette, Alban;

    To understand how ocean acidification (OA) influences sediment microbial communities, naturally CO2-rich sites are increasingly being used as OA analogues. However, the characterization of these naturally CO2-rich sites is often limited to OA-related variables, neglecting additional environmental variables that may confound OA effects. Here, we used an extensive array of sediment and bottom water parameters to evaluate pH effects on sediment microbial communities at hydrothermal CO2 seeps in Papua New Guinea. The geochemical composition of the sediment pore water showed variations in the hydrothermal signature at seep sites with comparable pH, allowing the identification of sites that may better represent future OA scenarios. At these sites, we detected a 60% shift in the microbial community composition compared with reference sites, mostly related to increases in Chloroflexi sequences. pH was among the factors significantly, yet not mainly, explaining changes in microbial community composition. pH variation may therefore often not be the primary cause of microbial changes when sampling is done along complex environmental gradients. Thus, we recommend an ecosystem approach when assessing OA effects on sediment microbial communities under natural conditions. This will enable a more reliable quantification of OA effects via a reduction of potential confounding effects. This pangaea entry contains the data on the microbial community structure and bottom water parameters. Supplement to: Hassenrück, Christiane; Fink, Artur; Lichtschlag, Anna; Tegetmeyer, Halina; de Beer, Dirk; Ramette, Alban (2016): Quantification of the effects of ocean acidification on sediment microbial communities in the environment: the importance of ecosystem approaches. FEMS Microbiology Ecology, 92(5), fiw027

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    PANGAEA
    Dataset . 2015
    Data sources: B2FIND
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      PANGAEA
      Dataset . 2015
      Data sources: B2FIND
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    Authors: Marsh, Leigh; Huvenne, Veerle A. I.; Jones, Daniel O. B.;

    Exploration licences for sea-floor mineral deposits have been granted across large areas of the world's oceans, with the abyssal Pacific Ocean being the primary target for polymetallic nodules—a potentially valuable source of minerals. These nodule-bearing areas support a large diversity of deep-sea life and although studies have begun to characterize the benthic fauna within the region, the ecological interactions between large bathypelagic vertebrates of the open ocean and the abyssal sea floor remain largely unknown. Here we report sea-floor geomorphological alterations observed by autonomous underwater vehicles that suggest large vertebrates could have interacted with the sea floor to a maximum depth of 4258 m in the recent geological past. Patterns of disturbance on the sea floor are broadly comparable to those recorded in other regions of the world's oceans attributed to beaked whales. These observations have important implications for baseline ecological assessments and the environmental management of potential future mining activities within this region of the Pacific.

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    figshare
    Collection . 2018
    License: CC BY
    Data sources: Datacite
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    figshare
    Collection . 2018
    License: CC BY
    Data sources: Datacite
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    figshare
    Collection . 2018
    License: CC BY
    Data sources: Datacite
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      Collection . 2018
      License: CC BY
      Data sources: Datacite
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      Collection . 2018
      License: CC BY
      Data sources: Datacite
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      Collection . 2018
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    Authors: Katlein, Christian; Arndt, Stefanie; Nicolaus, Marcel;

    The observed changes in physical properties of sea ice such as decreased thickness and increased melt pond cover severely impact the energy budget of Arctic sea ice. Increased light transmission leads to increased deposition of solar energy in the upper ocean and thus plays a crucial role for amount and timing of sea-ice-melt and under-ice primary production. Recent developments in underwater technology provide new opportunities to study light transmission below the largely inaccessible underside of sea ice. We measured spectral under-ice radiance and irradiance using the new Nereid Under-Ice (NUI) underwater robotic vehicle, during a cruise of the R/V Polarstern to 83°N 6°W in the Arctic Ocean in July 2014. NUI is a next generation hybrid remotely operated vehicle (H-ROV) designed for both remotely piloted and autonomous surveys underneath land-fast and moving sea ice. Here we present results from one of the first comprehensive scientific dives of NUI employing its interdisciplinary sensor suite. We combine under-ice optical measurements with three dimensional under-ice topography (multibeam sonar) and aerial images of the surface conditions. We investigate the influence of spatially varying ice-thickness and surface properties on the spatial variability of light transmittance during summer. Our results show that surface properties such as melt ponds dominate the spatial distribution of the under-ice light field on small scales (<1000 m**2), while sea ice-thickness is the most important predictor for light transmission on larger scales. In addition, we propose the use of an algorithm to obtain histograms of light transmission from distributions of sea ice thickness and surface albedo. Measurements of solar radiation over and under sea ice have been performed on one station in the Arctic Ocean during the Polarstern cruise PS86 (AURORA) on 28 July 2014. All radiation measurements have been performed with Ramses spectral radiometers (Trios, Rastede, Germany). All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors were mounted on a Remotely Operated Vehicle (ROV, Nereid Under-Ice) and one radiometer was installed on the ships crowsnest for surface reference measurements (solar irradiance). On the ROV, one irradiance sensor (cos-collector) for energy budget calculations and one radiance sensor (9.3° fov) to obtain high resolution spatial variability were installed. All times are given in UTC. Supplement to: Katlein, Christian; Arndt, Stefanie; Nicolaus, Marcel; Perovich, Donald K; Jakuba, Michael V; Suman, Daniel O; Elliott, Stephen; Whitcomb, Louis L; McFarland, William Douglas; Gerdes, Rüdiger; Boetius, Antje; German, Christopher R (2015): Influence of ice thickness and surface properties on light transmission through Arctic sea ice. Journal of Geophysical Research: Oceans, 120(9), 5932-5944

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    PANGAEA
    Dataset . 2015
    Data sources: B2FIND
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      PANGAEA
      Dataset . 2015
      Data sources: B2FIND
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    Authors: Hoffmann, Katy; Bienhold, Christina; Buttigieg, Pier Luigi; Laso-Pérez, Rafael; +3 Authors

    The present study aimed at a first characterization of the enigmatic JTB255 marine benthic group in deep-sea sediments, by: i) confirming the abundance and ubiquitous distribution of JTB255 in deep-sea sediments globally, ii) refining the phylogenetic positioning of the JTB255 clade within the \u03b3-Proteobacteria, iii) distinguishing potential ecotypes within the JTB255 clade, iv) providing first insights into the metabolic potential of deep-sea representatives of this clade. Therefore, two single cell genomes from Arctic HAUSGARTEN deep-se surface sediments were obtained and CARD-FISH counts of total cells, y-Proteobacteria and the JTB255 marine benthic group performed. Supplement to: Hoffmann, Katy; Bienhold, Christina; Buttigieg, Pier Luigi; Knittel, Katrin; Laso-Pérez, Rafael; Rapp, Josephine Z; Boetius, Antje; Offre, Pierre (2020): Diversity and metabolism of Woeseiales bacteria, global members of marine sediment communities. The ISME Journal, 14(4), 1042-1056

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    PANGAEA
    Dataset . 2018
    Data sources: B2FIND
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      PANGAEA
      Dataset . 2018
      Data sources: B2FIND
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    Authors: Degen, Renate; Vedenin, Andrey; Gusky, Manuela; Boetius, Antje; +1 Authors

    The few existing studies on macrobenthic communities of the deep Arctic Ocean report low standing stocks, and confirm a gradient with declining biomass from the slopes down to the basins as commonly reported for deep-sea benthos. In this study we have further investigated the relationship of faunal abundance (N), biomass (B) as well as community production (P) with water depth, geographical latitude and sea ice concentration. The underlying dataset combines legacy data from the past 20 years, as well as recent field studies selected according to standardized quality control procedures. Community P/B and production were estimated using the multi-parameter ANN model developed by Brey (2012). We could confirm the previously described negative relationship of water depth and macrofauna standing stock in the Arctic deep-sea. Furthermore, the sea-ice cover increasing with high latitudes, correlated with decreasing abundances of down to < 200 individuals/m**2, biomasses of < 65 mg C/m**2 and P of < 75 mg C/m**2/y. Stations under influence of the seasonal ice zone (SIZ) showed much higher standing stock and P means between 400 - 1400 mg C/m**2/y; even at depths up to 3700 m. We conclude that particle flux is the key factor structuring benthic communities in the deep Arctic ocean, explaining both the low values in the ice-covered Arctic basins and the high values along the SIZ. Supplement to: Degen, Renate; Vedenin, Andrey; Gusky, Manuela; Boetius, Antje; Brey, Thomas (2015): Patterns and trends of macrobenthic abundance, biomass and production in the deep Arctic Ocean. Polar Research, 34(1), 24008

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    PANGAEA
    Dataset . 2014
    Data sources: B2FIND
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      PANGAEA
      Dataset . 2014
      Data sources: B2FIND
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    Authors: Katlein, Christian; Fernández-Méndez, Mar; Wenzhöfer, Frank; Nicolaus, Marcel;

    The ice cover of the Arctic Ocean has been changing dramatically in the last decades and the consequences for the sea-ice associated ecosystem remain difficult to assess. Algal aggregates underneath sea ice have been described sporadically but the frequency and distribution of their occurrence is not well quantified. We used upward looking images obtained by a remotely operated vehicle (ROV) to derive estimates of ice algal aggregate biomass and to investigate their spatial distribution. During the IceArc expedition (ARK-XXVII/3) of RV Polarstern in late summer 2012, different types of algal aggregates were observed floating underneath various ice types in the Central Arctic basins. Our results show that the floe scale distribution of algal aggregates in late summer is very patchy and determined by the topography of the ice underside, with aggregates collecting in dome shaped structures and at the edges of pressure ridges. The buoyancy of the aggregates was also evident from analysis of the aggregate size distribution. Different approaches used to estimate aggregate biomass yield a wide range of results. This highlights that special care must be taken when upscaling observations and comparing results from surveys conducted using different methods or on different spatial scales. Measurements of solar radiation over and under sea ice as well as surveys of the distribution of algal aggregates under sea ice have been performed on various stations in the Arctic Ocean during the Polarstern cruise ARK-XXVII/3 (IceArc) between 10 August and 29 September 2012. All radiation measurements have been performed with Ramses spectral radiometers (Trios, Rastede, Germany). All data are given in full spectral resolution interpolated to 1.0 nm and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors were mounted on a Remotely Operated Vehicle (ROV) and one radiometer was installed on the sea ice for surface reference measurements (solar irradiance). On the ROV, one irradiance sensor (cos-collector) for energy budget calculations and one radiance sensor (7° opening angle) to obtain high resolution spatial variability were installed. Along with the radiation measurements, sea-ice draft, roughness as well as under-ice aggregate coverage were recorded. Videos were recorded by a camera mounted in an upward looking position onboard a ROV. Still images were extracted each 5 seconds and aggregates detected in the images. Final processed data are provided gridded on a 3x3m grid in local floe coordinates. Supplement to: Katlein, Christian; Fernández-Méndez, Mar; Wenzhöfer, Frank; Nicolaus, Marcel (2014): Distribution of algal aggregates under summer sea ice in the Central Arctic. Polar Biology, Polar Biology, 38(5), 719-731

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    PANGAEA
    Dataset . 2014
    Data sources: B2FIND
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      PANGAEA
      Dataset . 2014
      Data sources: B2FIND
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    Authors: Boetius, Antje; Albrecht, Sebastian; Bakker, Karel; Bienhold, Christina; +14 Authors

    doi