Biological Sciences

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  • Author(s):
    Yide Zhang, Scott S. Howard, Cody J. Smith
    Abstract:

    Super-resolution microscopy is broadening our in-depth understanding of cellular structure. However, super-resolution approaches are limited, for numerous reasons, from utilization in longer-term intravital imaging. We devised a combinatorial imaging technique that combines deconvolution with stepwise optical saturation microscopy (DeSOS) to circumvent this issue and image cells in their native physiological environment. Other than a traditional confocal or two-photon microscope, this approac…

    Date Created:
    2019-01-09
    Record Visibility:
    Public
    Resource Type
    Software
  • Creator(s):
    Sunny Boyd
    Description:

    Mate choice strategies in a spatially-explicit model environment

    Giordano B. S. Ferreira1, Matthias Scheutz1, and Sunny K. Boyd2 1Department of Computer Science, Tufts University, Medford, MA 02155, USA Matthias.scheutz@tufts.edu and Giordano.Ferreira@tufts.edu 2Department of Biological Sciences, University of Notre Dame, Notre Dame, IN 46556, USA Boyd.1@nd.edu (Corresponding author; phone: 574-631-5021; fax: 574-631-7413)

    Keywords: mate choice, decision-making, agent-based modeling, f…

    Date Created:
    2017-12-14
    Record Visibility:
    Public
  • Creator(s):
    Jennifer Tank
    Description:

    This dataset contains data from 17 stream 15N-NH4 tracer addition experiments conducted globally, with data partitioned by autotrophic uptake compartments (i.e., epilithic biofilm, filamentous algae, bryophytes/macrophytes) and heterotrophic uptake compartments (i.e., leaves, small wood, and fine particles) that comprise the base of stream food webs. The dataset includes compartmental data on N biomass and uptake as well as other physiochemical variable that describe conditions in each stream.

    Date Created:
    2017-09-12
    Record Visibility:
    Public