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  • Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu  (16)
  • AGU Fall Meeting 2021  (1)
  • 2020-2023  (17)
  • 1995-1999
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Year
  • 1
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Series 3A: cell abundance
    Description: The experiments were designed to test the combined effects of three CO2 concentrations, four temperatures, and three light intensities on growth of the diatom T. pseudonana CCMP1014 in a multifactorial design. This dataset contains measurements of cell abundances measured by forward scatter. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/771421
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1538602
    Keywords: Phytoplankton ; Diatoms ; Ocean acidification ; Multiple stressors ; Photosynthesis ; Biogenic silica
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 2
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Series 3A: Nutrients
    Description: The experiments were designed to test the combined effects of three CO2 concentrations, four temperatures, and three light intensities on growth and photophysiology of the diatom T. pseudonana CCMP1014 in a multifactorial design. This dataset contains measurements of nutrients (phosphate, silicate, and nitrate plus nitrite) made over the course of the experiments. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/771370
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1538602
    Keywords: Phytoplankton ; Diatoms ; Ocean acidification ; Multiple stressors ; Photosynthesis ; Biogenic silica
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 3
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Series 3A: pH
    Description: The experiments were designed to test the combined effects of three CO2 concentrations, four temperatures, and three light intensities on growth and photophysiology of the diatom T. pseudonana CCMP1014 in a multifactorial design. This dataset contains measurements of pH made over the course of the experiments. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/771304
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1538602
    Keywords: Phytoplankton ; Diatoms ; Ocean acidification ; Multiple stressors ; Photosynthesis ; Biogenic silica
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 4
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    Unknown
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Series 3A: DIC
    Description: The experiments were designed to test the combined effects of three CO2 concentrations, four temperatures, and three light intensities on growth and photophysiology of the diatom T. pseudonana CCMP1014 in a multifactorial design. This dataset contains measurements of Dissolved Inorganic Carbon (DIC) made over the course of the experiments. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/771333
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1538602
    Keywords: Phytoplankton ; Diatoms ; Ocean acidification ; Multiple stressors ; Photosynthesis ; Biogenic silica
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 5
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Series 3A: cell size
    Description: The experiments were designed to test the combined effects of three CO2 concentrations, four temperatures, and three light intensities on growth of the diatom T. pseudonana CCMP1014 in a multifactorial design. This dataset contains measurements of cell size expressed as forward scatter as well as in equivalent spherical diameter (ESD) in microns. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/771448
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1538602
    Keywords: Phytoplankton ; Diatoms ; Ocean acidification ; Multiple stressors ; Photosynthesis ; Biogenic silica
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 6
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Series 3A: POC, PON, Chl a
    Description: The experiments were designed to test the combined effects of CO2, temperatures, and light on growth and photophysiology of the diatom T. pseudonana CCMP1014 in a multifactorial design. This dataset contains measurements of extracted chlorophyll, particulate organic carbon (POC), and particulate organic nitrogen (PON) made over the course of the experiments. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/771594
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1538602
    Keywords: Phytoplankton ; Diatoms ; Ocean acidification ; Multiple stressors ; Photosynthesis ; Biogenic silica
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
    Location Call Number Expected Availability
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  • 7
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Series 3A: photophysiology
    Description: The experiments were designed to test the combined effects of CO2, temperatures, and light on the growth of the diatom T. pseudonana CCMP1014 in a multifactorial design. This dataset contains measurements of photophysiology using the Light curve (LC3) protocol of the Aquapen-C AP-C 100 fluorometer. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/771461
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1538602
    Keywords: Phytoplankton ; Diatoms ; Ocean acidification ; Multiple stressors ; Photosynthesis ; Biogenic silica
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
    Location Call Number Expected Availability
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  • 8
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-26
    Description: Dataset: Series 4A: photophysiology computed
    Description: The experiments were designed to test the combined effects of two CO2 concentrations, four temperatures, and three light intensities on growth and photophysiology of the cyanobacteria S. elongatus CCMP1629 in a multifactorial design. This dataset contains measurements of photophysiology using the Light curve (LC3) protocol of the Aquapen-C AP-C 100 fluorometer. They include the minimum fluorescence in dark-adapted state (Fo), the maximum fluorescence in dark-adapted state (Fm), the maximum Quantum yield (QY_max), measurements of the maximum fluorescence following exposure to actinic light (Fm_L#), the instantaneous fluorescence during light adaptation to actinic light (Ft_L1), and measurements of the instantaneous photosystem II quantum yield following exposure to actinic light (QY_L#). For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/808215
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1538602
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 9
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-27
    Description: Dataset: Goby_Sibship_2018
    Description: Genotype data for E. lori individuals sequenced at 71 microsatellites from a 41 km-long transect of the Belize Barrier reef during 2018. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/749774
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1260424
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 10
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    AGU Fall Meeting 2021
    In:  EPIC3AGU Fall Meeting 2021, New Orleans, USA, 2021-12-13-2021-12-17AGU Fall Meeting 2021
    Publication Date: 2022-06-14
    Description: The Arctic water cycle is changing dramatically as evidenced by marked shifts in Arctic sea ice conditions, atmospheric processes, and hydrological regimes. Evaporation from the increasingly ice-free Arctic ocean causes moistening of the atmosphere and serves as an unprecedented water source for the Northern Hemisphere. Stable water isotopes (δ18O, δ2H, d-excess) can be used to trace exchange processes between ocean and atmosphere including their potential to feedback into the global climate system. The MOSAiC expedition provided a unique opportunity to collect, analyze, and synthesize discrete samples of the different hydrological compartments in the central Arctic, comprising sea ice, seawater, snow, and melt ponds. Moreover, we present observations of atmospheric humidity, δ18O, δ2H, and d-excess, obtained from a cavity-ring-down spectrometer installed on RV Polarstern and operated continuously during the MOSAiC expedition. By analyzing discrete samples, we found that average seawater δ18O of -1.7±1.95‰ (n=126) conforms to observed and modelled isotopic traits of the Arctic Ocean. Second year ice is relatively depleted compared to first year ice with average δ18O values of -3.1±2.81‰ (n=397) and -0.7±2.28‰ (n=409), respectively. Snow on top of the sea ice (n=303) has the most depleted isotopic signature among all compartments shaping the Arctic water cycle (mean δ18O=-15.3±7.12‰) The atmospheric water vapour dataset reveals a clear seasonal cycle; significant positive correlations are found both with local specific humidity and air temperature. The comparison of synoptic events, characterized by abrupt isotopic fluctuations, with simultaneous observations from land-based Arctic stations indicates a strong influence of sea ice coverage on the isotopic signal. For an in-depth understanding of the isotopic changes, the observations are compared to an isotope-enhanced ECHAM6 atmosphere simulation. The model-data comparison assesses the capability of this state-of-the-art AGCM to capture the first-order evaporation/condensation processes and their seasonal evolution. Our dataset provides a comprehensive description of the present-day isotopic composition of the Arctic water covering a complete seasonal cycle. This will ultimately contribute to resolve the linkages between sea ice, ocean, and atmosphere during critical transitions from frozen ocean to open water conditions.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Conference , notRev
    Format: application/pdf
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