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  • Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu  (5)
  • 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: Arctic Nitrogen Fixation Rates
    Description: This dataset provides rates of nitrogen fixation for the coastal Chukchi Sea near Barrow, Alaska. Nitrogen fixation supplies ‘new’ nitrogen to the global ocean and supports primary production and impacts global biogeochemical cycles. Historically, nitrogen fixation in marine waters was considered a predominantly warm water process but this and other recent studies have shown that nitrogen fixation is occurring at low rates in polar waters. This dataset reports rates of 3.5 – 17.2 nmol N L-1 d-1 in the ice-free coastal Alaskan Arctic. Additional investigations of high-latitude marine diazotrophic physiology are required to refine these N2 fixation estimates. For a complete list of measurements, refer to the supplemental document 'Field_names.pdf', and a full dataset description is included in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: http://www.bco-dmo.org/dataset/701789
    Description: NSF Arctic Sciences (NSF ARC) PLR-0909839
    Keywords: Nitrogen fixation ; Temperature ; Arctic Ocean ; Nitrogen ; Nutrients ; Chukchi Sea
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
    Location Call Number Limitation Availability
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  • 2
    Publication Date: 2022-05-26
    Description: Dataset: INSPIRE 1-D ROMS model output
    Description: 1-D vertical mixing/biogeochemical Regional Ocean Modeling System (ROMS) output of October 2010 - March 2011 of the Amundsen Sea Polynya, modeled at twelve bloom stations. Data are 3-hourly averages, and saved in NetCDF files. In the NetCDF files, data are distributed over a 6x6 grid with 30 depths (ranging from the surface down to 210 m, with higher resolution near the surface). ocean_avg.nc files are the standard model output, while files named ocean_avg_sensitivity_lowWW.nc are from runs using a lower winter water initial dissolved iron concentration. 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/765252
    Description: NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP) OPP-1443657, NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP) OPP-1443604, NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP) OPP-1443315, NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP) OPP-1443569
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
    Location Call Number Limitation Availability
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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: 2022-05-26
    Description: Dataset: Model-building biogeochemical data set from ASPIRE
    Description: Hydrographic profiles and discrete water samples were collected from each station using a conventional shipboard conductivity-temperature-depth (CTD; Sea-Bird 911+) sensor and a 24 × 10 L Niskin bottle rosette sampler (General Oceanics). Potential temperature (θ) and salinity (S) were recorded continuously as a function of depth and at the moment of Niskin bottle closure (see Yager et al., 2016). Trace-metal samples were collected similarly using a trace-metal-clean CTD-rosette system (see Sherrell et al., 2015) that was deployed at the same location just before or after the conventional CTD. 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/765081
    Description: NSF Antarctic Sciences (NSF ANT) ANT-0839069, NSF Antarctic Sciences (NSF ANT) ANT-0944727, NSF Antarctic Sciences (NSF ANT) ANT-0839012, NSF Antarctic Sciences (NSF ANT) ANT-0838995, NSF Antarctic Sciences (NSF ANT) ANT-0838975, NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP) OPP-1443657, NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP) OPP-1443604, NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP) OPP-1443315, NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP) OPP-1443569
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
    Location Call Number Limitation Availability
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  • 4
    Publication Date: 2022-05-27
    Description: Numerous coastal polynyas fringe the Antarctic continent and strongly influence the productivity of Antarctic shelf systems. Of the 46 Antarctic coastal polynyas documented in a recent study, the Amundsen Sea Polynya (ASP) stands out as having the highest net primary production per unit area. Incubation experiments suggest that this productivity is partly controlled by the availability of dissolved iron (dFe). As a first step toward understanding the iron supply of the ASP, we introduce four plausible sources of dFe and simulate their steady spatial distribution using conservative numerical tracers. The modeled distributions replicate important features from observations including dFe maxima at the bottom of deep troughs and enhanced concentrations near the ice shelf fronts. A perturbation experiment with an idealized drawdown mimicking summertime biological uptake and subsequent resupply suggests that glacial meltwater and sediment-derived dFe are the main contributors to the prebloom dFe inventory in the top 100 m of the ASP. The sediment-derived dFe depends strongly on the buoyancy-driven overturning circulation associated with the melting ice shelves (the “meltwater pump”) to add dFe to the upper 300 m of the water column. The results support the view that ice shelf melting plays an important direct and indirect role in the dFe supply and delivery to polynyas such as the ASP. The data are from a numerical model simulating the sea ice and ocean conditions in the Amundsen Sea over the period Jan. 1, 2006 to Dec. 31, 2013. The data files provide the daily averaged model fields during this period. The numerical model and experiment are thoroughly described in St-Laurent et al., J. Geophys. Res. Oceans, doi:10.1002/2017jc013162.
    Description: NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP) OPP-1443657 NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP) OPP-1443604 NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP) OPP-1443315 NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP) OPP-1443569
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
    Location Call Number Limitation Availability
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  • 5
    Publication Date: 2022-05-26
    Description: Dataset: AN10-12 Surface pCO2 and Chl a
    Description: Surface pCO2, bottle-corrected Chl a, and shipboard wind speed from three cruises conducted off the Northeast coast of Brazil in the Amazon River Plume as part of the ANACONDAS project. Cruise AN10 took place on R/V Knorr (KN197-08) from May-June 2010; cruise AN11 took place on R/V Melville (MV1110) from September-October 2011; and cruise AN12 took place on R/V Atlantis (AT21-04) during July 2012. 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/849870
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-0934095, Gordon and Betty Moore Foundation: Marine Microbiology Initiative (MMI) GBMF2293, Gordon and Betty Moore Foundation: Marine Microbiology Initiative (MMI) GBMF2928, NSF Division of Ocean Sciences (NSF OCE) OCE-1133277
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
    Location Call Number Limitation Availability
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