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  • 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: Argo SCVs
    Description: Remotely-generated submesoscale coherent vortices (SCV) within Argo profiles. The data reveal the date, locations, and identification information of Argo profiles that pierced spicy-core (anomalously warm and salty) and minty-core (anomalously cold and fresh) SCVs. We also include statistics gathered for each SCV, such as core water mass characteristics and height/length scales. These data are described in McCoy et al. (2020); doi: 10.1016/j.pocean.2020.102452 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/836648
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1847687
    Keywords: Argo floats ; Mesoscale eddies ; Water masses ; Mode water
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 2
    Publication Date: 2022-08-15
    Description: Zooplankton and nekton organisms create and destroy particles in manifold ways. They feed on the diverse components of the plankton community and on detrital matter. They disaggregate these components, but also repackage them into fecal pellets. Zooplankton and nekton thereby contributes to the attenuation, but also to the export of vertically settling particles. Many zooplankton and nekton organisms also ascend to the surface layer of the ocean at dusk to feed during the dark hours, and return to midwater at the break of dawn. This diurnal vertical migration (DVM) shuttles organic matter from the surface ocean to deeper layers, where it is metabolized and excreted. This active flux (as opposed to the passive flux of sinking particles) can contribute substantially to the biological pump, the downward export of carbon and nutrients into the oceans interior. Due to their multiple roles in oceanic particle dynamics, zooplankton and nekton organisms can actually be considered the gatekeepers of the biological pump.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , NonPeerReviewed
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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: N2O Global Reconstruction
    Description: Global reconstruction of surface oceanic N2O disequilibrium and its associated flux. The dataset consists of (1) a global compilation of observed nitrous oxide pressure, concentration, mixing ratio measurements and their associated disequilibrium in the surface ocean; (2) the globally mapped N2O disequilibrium predicted by a supervised learning algorithm, and (3) the reconstructed ocean to atmosphere N2O flux. 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/810032
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1847687
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 4
    Publication Date: 2022-05-26
    Description: © The Author(s), 2020. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Wilson, S. T., Al-Haj, A. N., Bourbonnais, A., Frey, C., Fulweiler, R. W., Kessler, J. D., Marchant, H. K., Milucka, J., Ray, N. E., Suntharalingam, P., Thornton, B. F., Upstill-Goddard, R. C., Weber, T. S., Arevalo-Martinez, D. L., Bange, H. W., Benway, H. M., Bianchi, D., Borges, A., V., Chang, B. X., Crill, P. M., del Valle, D. A., Farias, L., Joye, S. B., Kock, A., Labidi, J., Manning, C. C., Pohlman, J. W., Rehder, G., Sparrow, K. J., Tortell, P. D., Treude, T., Valentine, D. L., Ward, B. B., Yang, S., & Yurganov, L. N. Ideas and perspectives: a strategic assessment of methane and nitrous oxide measurements in the marine environment. Biogeosciences, 17(22), (2020): 5809-5828, https://doi.org/10.5194/bg-17-5809-2020.
    Description: In the current era of rapid climate change, accurate characterization of climate-relevant gas dynamics – namely production, consumption, and net emissions – is required for all biomes, especially those ecosystems most susceptible to the impact of change. Marine environments include regions that act as net sources or sinks for numerous climate-active trace gases including methane (CH4) and nitrous oxide (N2O). The temporal and spatial distributions of CH4 and N2O are controlled by the interaction of complex biogeochemical and physical processes. To evaluate and quantify how these mechanisms affect marine CH4 and N2O cycling requires a combination of traditional scientific disciplines including oceanography, microbiology, and numerical modeling. Fundamental to these efforts is ensuring that the datasets produced by independent scientists are comparable and interoperable. Equally critical is transparent communication within the research community about the technical improvements required to increase our collective understanding of marine CH4 and N2O. A workshop sponsored by Ocean Carbon and Biogeochemistry (OCB) was organized to enhance dialogue and collaborations pertaining to marine CH4 and N2O. Here, we summarize the outcomes from the workshop to describe the challenges and opportunities for near-future CH4 and N2O research in the marine environment.
    Description: This article was an outcome of a workshop organized by the Ocean Carbon and Biogeochemistry (OCB) project office, which is supported by the US National Science Foundation (grant no. 1558412) and the National Aeronautics and Space Administration (grant no. NNX17AB17G). The workshop received additional funding from the Scientific Committee on Ocean Research (SCOR) which receives funding from the US National Science Foundation (grant no. 1840868) and contributions by additional national SCOR committees. The Chilean COPAS N2O time-series measurements were supported by Agencia Nacional de Investigación y Desarrollo (grant no. 1200861).
    Repository Name: Woods Hole Open Access Server
    Type: Article
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