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  • 1
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    Raw physical oceanography, bio-optical and biogeochemical data from mooring F4-S-5 in the Fram Strait, June 2021 – July 2022 (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-22
    Description: Time-series data of physical & biological oceanography, nutrient biogeochemistry, molecular biology and carbon/particle export were obtained from mooring F4-S-5 in the Fram Strait from June 2021 to July 2022 as part of the Helmholtz infrastructure program Frontiers in Arctic Marine Monitoring (FRAM) and the long-term monitoring program at AWI HAUSGARTEN. The mooring was deployed during RV POLARSTERN expedition PS126 and recovered during PS131. The attached archive contains raw data files of four Seabird SBE37 MicroCATs (nominal depths: 17m, 22m, 46m, 241m; sampling interval 1h), one SBE56 temperature logger (nominal depth: 36m, sampling interval 60s), one Wetlabs ECO PAR sensor (nominal depth: 22m; sampling interval 1h), one Wetlabs ECO Triplet fluorometer (nominal depth: 22m; sampling interval 2h), two Satlantics SUNA nitrate sensors (nominal depths: 22m, 241m; sampling interval 4h), two Sunburst SAMI-pCO2 sensors (nominal depths: 22m, 241m; sampling interval 1h) and two Sunburst SAMI-pH sensors (nominal depths: 22m, 241m; sampling interval 3h). The mooring also included two McLane RAS water samplers (nominal depths: 22m, 241m; data archived elsewhere), two sediment traps (nominal depths: 194m, 603m; data archived elsewhere), and four PE samplers (nominal depths: 64m, 248m, 503m, 1112m; data archived elsewhere). Auxiliary information such as sensor calibration sheets, mooring diagrams, and schedule files are also provided, if applicable. The pH sensor at 22 m and both SUNAs had issues and did not record any data.
    Keywords: Arctic Ocean; ATWAICE; AWI_PhyOce; Binary Object; Binary Object (File Size); Carbon cycle; CTD; Event label; F4-S-5; File content; FRAM; FRontiers in Arctic marine Monitoring; GPF 20-1_021; Hausgarten; Long-term Investigation at AWI-Hausgarten off Svalbard; molecular biology; MOOR; Mooring; North Greenland Sea; nutrient biogeochemistry; oceanographic moorings; oceanographic time series; particle export; Physical Oceanography @ AWI; Polarstern; PS126; PS126_14-2; PS126_14-2, PS131_3-1; PS131; PS131_3-1
    Type: Dataset
    Format: text/tab-separated-values, 2 data points
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    DATA PANGAEA
  • 2
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    Raw physical oceanography, ocean current velocity, bio-optical and biogeochemical data from mooring HG-EGC-7 in the Fram Strait, June 2021 – August 2022 (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-22
    Description: Time-series data of physical & biological oceanography, ocean current velocities, nutrient biogeochemistry, molecular biology and carbon/particle export were obtained from mooring HG-EGC-7 in the Fram Strait from June 2021 to July 2022 as part of the Helmholtz infrastructure program Frontiers in Arctic Marine Monitoring (FRAM) and the long-term monitoring program at AWI HAUSGARTEN. The mooring was deployed during RV POLARSTERN expedition PS126 and recovered during PS131. The attached archive contains raw data files of three Seabird SBE37 MicroCATs (nominal depths: 38m, 232m, 484m; sampling interval 1h), three AADI RCM11 current meters (nominal depths: 45m, 239m, 487m; sampling interval 1h), one AADI Seaguard current meter (nominal depth: 993m, sampling interval 1h), one Wetlabs ECO PAR sensor (nominal depth: 38m; sampling interval 1h), one Wetlabs ECO Triplet fluorometer (nominal depth: 38m; sampling interval 2h), two Satlantics SUNA nitrate sensors (nominal depths: 38m, 232m; sampling interval 4h), two Sunburst SAMI-pCO2 sensors (nominal depths: 38m, 232m; sampling interval 1h) and two Sunburst SAMI-pH sensors (nominal depths: 38m, 232m; sampling interval 3h). The mooring also included two McLane RAS water samplers (nominal depths: 38m, 232m; data archived elsewhere), one sediment trap (nominal depth: 480m; data archived elsewhere), and four PE samplers (nominal depths: 51m, 239m, 482m, 893m; data archived elsewhere). Auxiliary information such as sensor calibration sheets, mooring diagrams, and schedule files are also provided, if applicable. The pH sensor at 38 m, the ECO Triplet at 38 m and the SUNA at 232m had issues and did not record any valid data.
    Keywords: Arctic Ocean; ATWAICE; Binary Object; Binary Object (File Size); Carbon cycle; CTD; Event label; File content; FRAM; FRontiers in Arctic marine Monitoring; GPF 20-1_021; Hausgarten; HG-EGC-7; HG-EGC-7, EGC-7; HG-EGC-7, EGC-7 N; Long-term Investigation at AWI-Hausgarten off Svalbard; molecular biology; MOOR; Mooring; North Greenland Sea; nutrient biogeochemistry; oceanographic moorings; oceanographic time series; particle export; Polarstern; PS126; PS126_21-17; PS126_21-17, PS131_105-1; PS131; PS131_105-1
    Type: Dataset
    Format: text/tab-separated-values, 2 data points
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    DATA PANGAEA
  • 3
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    From sequence to information (2020)
    The Royal Society
    Details
    Publication Date: 2020-11-02
    Description: Today massive amounts of sequenced metagenomic and metatranscriptomic data from different ecological niches and environmental locations are available. Scientific progress depends critically on methods that allow extracting useful information from the various types of sequence data. Here, we will first discuss types of information contained in the various flavours of biological sequence data, and how this information can be interpreted to increase our scientific knowledge and understanding. We argue that a mechanistic understanding of biological systems analysed from different perspectives is required to consistently interpret experimental observations, and that this understanding is greatly facilitated by the generation and analysis of dynamic mathematical models. We conclude that, in order to construct mathematical models and to test mechanistic hypotheses, time-series data are of critical importance. We review diverse techniques to analyse time-series data and discuss various approaches by which time-series of biological sequence data have been successfully used to derive and test mechanistic hypotheses. Analysing the bottlenecks of current strategies in the extraction of knowledge and understanding from data, we conclude that combined experimental and theoretical efforts should be implemented as early as possible during the planning phase of individual experiments and scientific research projects. This article is part of the theme issue ‘Integrative research perspectives on marine conservation’.
    Print ISSN: 0962-8436
    Electronic ISSN: 1471-2970
    Topics: Biology
    Published by The Royal Society
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    PAPER CURRENT
  • 4
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    Seasonal, interannual and spatial patterns of bacterial taxonomy and genetic functions in the Arctic Ocean (2022)
    In:  EPIC318th Symposium of the International Society for Microbial Ecology (ISME18), Lausanne, Switzerland
    Details
    Publication Date: 2022-09-07
    Description: Bacterial diversity and function across time and space in the Arctic Ocean, including the Polar Night, remain virtually unknown. In the FRAM Observatory, we study microbial composition and genetic potential in ice-covered and ice-free regions of the Fram Strait, the major gateway between the Arctic and Atlantic Oceans. A continuous amplicon time-series, derived from moored autonomous samplers, revealed marked taxonomic and functional seasonality among bacterial communities in the ice-free West Spitsbergen Current, with distinct succession of taxonomic modules. PacBio long-read metagenomes showed peaks of proteorhodopsin- and DMSP-utilizing genes in late summer, whereas winter mixing of the water column covaried with ammonia- and nitrite-metabolizing bacterial genes. In the ice-covered East Greenland Current, taxonomic and functional diversity varied less with seasons, with prominent influence of ice cover and polar water masses. For instance, high-ice conditions coincided with higher number of peptidoglycan-utilizing genes. Continuous observations were contextualized with five-year amplicon data from summertime samples collected across Fram Strait, integrating seasonal and interannual patterns of bacterial community dynamics. This fundamental baseline information helps understanding ecological and biogeochemical processes in a marine region severely affected by climate change.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Conference , NonPeerReviewed , info:eu-repo/semantics/conferenceObject
    Format: application/pdf
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  • 5
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    Multiomics in the central Arctic Ocean for benchmarking biodiversity change (2022)
    Public Library of Science (PLoS)
    In:  EPIC3PLOS Biology, Public Library of Science (PLoS), 20(10), pp. e3001835-e3001835, ISSN: 1544-9173
    Details
    Publication Date: 2023-06-21
    Description: Multiomics approaches need to be applied in the central Arctic Ocean to benchmark biodiversity change and to identify novel species and their genes. As part of MOSAiC, EcoOmics will therefore be essential for conservation and sustainable bioprospecting in one of the least explored ecosystems on Earth.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , NonPeerReviewed
    Format: application/pdf
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  • 6
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    Atlantic water influx and sea-ice cover drive taxonomic and functional shifts in Arctic marine bacterial communities (2023)
    Springer Nature
    In:  EPIC3The ISME Journal: Multidisciplinary Journal of Microbial Ecology, Springer Nature, 17(10), pp. 1612-1625, ISSN: 1751-7362
    Details
    Publication Date: 2024-03-28
    Description: The Arctic Ocean is experiencing unprecedented changes because of climate warming, necessitating detailed analyses on the ecology and dynamics of biological communities to understand current and future ecosystem shifts. Here, we generated a four-year, high-resolution amplicon dataset along with one annual cycle of PacBio HiFi read metagenomes from the East Greenland Current (EGC), and combined this with datasets spanning different spatiotemporal scales (Tara Arctic and MOSAiC) to assess the impact of Atlantic water influx and sea-ice cover on bacterial communities in the Arctic Ocean. Densely ice-covered polar waters harboured a temporally stable, resident microbiome. Atlantic water influx and reduced sea-ice cover resulted in the dominance of seasonally fluctuating populations, resembling a process of “replacement” through advection, mixing and environmental sorting. We identified bacterial signature populations of distinct environmental regimes, including polar night and high-ice cover, and assessed their ecological roles. Dynamics of signature populations were consistent across the wider Arctic; e.g. those associated with dense ice cover and winter in the EGC were abundant in the central Arctic Ocean in winter. Population- and community-level analyses revealed metabolic distinctions between bacteria affiliated with Arctic and Atlantic conditions; the former with increased potential to use bacterial- and terrestrial-derived substrates or inorganic compounds. Our evidence on bacterial dynamics over spatiotemporal scales provides novel insights into Arctic ecology and indicates a progressing Biological Atlantification of the warming Arctic Ocean, with consequences for food webs and biogeochemical cycles.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , peerRev
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  • 7
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    Sea-ice melt determines seasonal phytoplankton dynamics and delimits the habitat of temperate Atlantic taxa as the Arctic Ocean atlantifies (2024)
    Oxford University Press (OUP)
    In:  EPIC3ISME Communications, Oxford University Press (OUP), 4(1), pp. ycae027-ycae027, ISSN: 2730-6151
    Details
    Publication Date: 2024-03-29
    Description: The Arctic Ocean is one of the regions where anthropogenic environmental change is progressing most rapidly and drastically. The impact of rising temperatures and decreasing sea ice on Arctic marine microbial communities is yet not well understood. Microbes form the basis of food webs in the Arctic Ocean, providing energy for larger organisms. Previous studies have shown that Atlantic taxa associated with low light are robust to more polar conditions. We compared to which extent sea ice melt influences light-associated phytoplankton dynamics and biodiversity over two years at two mooring locations in the Fram Strait. One mooring is deployed in pure Atlantic water, and the second in the intermittently ice-covered Marginal Ice Zone. Time-series analysis of amplicon sequence variants abundance over a 2-year period, allowed us to identify communities of co-occurring taxa that exhibit similar patterns throughout the annual cycle. We then examined how alterations in environmental conditions affect the prevalence of species. During high abundance periods of diatoms, polar phytoplankton populations dominated, while temperate taxa were weakly represented. Furthermore, we found that polar pelagic and ice-associated taxa, such as Fragilariopsis cylindrus and Melosira arctica, were more common in Atlantic conditions, while temperate taxa, such as Odontella aurita and Proboscia alata, were less abundant under polar conditions. This suggests that sea ice melt may act as a barrier to the northward expansion of temperate phytoplankton, preventing their dominance in regions still strongly influenced by polar conditions. Our findings highlight the complex interactions between sea ice melt, phytoplankton dynamics, and biodiversity in the Arctic.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , peerRev
    Format: application/pdf
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