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  • Data from: Postponing the dynamical transition density using competing interactions

    Data Citation:
    Kundu, J., & Charbonneau, P. (2020). Data From: Postponing the dynamical transition density using competing interactions. Duke Research Data Repository. https://doi.org/10.7924/r4xd0wb95

  • OSNAP: Overturning in the Subpolar North Atlantic Program

    Collection
    • OSNAP is an international program designed to provide a continuous record of the full-water column, trans-basin fluxes of heat, mass and freshwater in the subpolar North Atlantic. The OSNAP observing system consists of two legs: one extending from southern Labrador to the southwestern tip of Greenland across the mouth of the Labrador Sea (OSNAP West), and the second from the southeastern tip of Greenland to Scotland (OSNAP East).

      The observing system also includes subsurface floats (OSNAP Floats) in order to trace the pathways of overflow waters in the basin and to assess the connectivity of currents crossing the OSNAP line.

      OSNAP is a partner in the North Atlantic Virtual Institute (NAVIS), which connects science teams around the world studying climate variability and change in the North Atlantic. http://navinstitute.org/ ... [Read More]
    8 Datasets

  • IPHEx: The Integrated Precipitation and Hydrology Experiment

    Collection
    • The Integrated Precipitation and Hydrology EXperiment (IPHEX) seeks to characterize warm season orographic precipitation regimes, and the relationship between precipitation regimes and hydrologic processes in regions of complex terrain. IPHEX includes two major activities:

      1. The development, evaluation and improvement of remote-sensing precipitation algorithms in support of the Global Precipitation Measurement Mission (GPM) through a NASA GPM ground validation field campaign: IPHEX-GVFC (https://iphex.pratt.duke.edu/node/64)

      2. The evaluation of Quantitative Precipitation Estimation (QPE) products for hydrologic forecasting and water resource applications in the Upper Tennessee, Catawba-Santee, Yadkin-Pee Dee and Savannah river basins: IPHEX- HAP (H4SE) (https://iphex.pratt.duke.edu/node/65). NOAA HMT has synergy with this project.
    5 Datasets

  • Simons Collaboration on Cracking the Glass Problem

    Collection
    • How can an amorphous material be rigid? Glass – the prototypical and ubiquitous amorphous solid – inhabits an incredibly ramified and complex energy landscape, which presumably underlies its rigidity. But how? Dealing with so many relevant energy minima and the ensuing far-from-equilibrium dynamics has emerged as one of the central problems in statistical physics. Tackling it requires new tools and concepts. The Simons Collaboration on Cracking the Glass Problem, addressing such fundamental issues as disorder, nonlinear response and far-from-equilibrium dynamics, builds upon three powerful approaches: the study of marginal stability at jamming, the mean-field theory of glasses in infinite dimension, and the dynamics of systems in complex landscapes. The convergence of recent breakthroughs in these areas generates a unique opportunity to come to grips with these three outstanding and intimately related challenges. This collection of datasets is associated with publications from the Charbonneau group and their collaborators as part of the Simons collaboration.

      (Banner image credit: Pierfrancesco Urbani)       ... [Read More]
    30 Datasets

  • Data from: RoboCOP: Multivariate state space model integrating epigenomic accessibility data to elucidate genome-wide chromatin occupancy

    Data Citation:
    Mitra, S., Zhong, J., MacAlpine, D., Hartemink, A., MacAlpine, H. (2020). Data from: RoboCOP: Multivariate state space model integrating epigenomic accessibility data to elucidate genome-wide chromatin occupancy. Duke Research Data Repository. https://doi.org/10.7924/r4hx1b43s

  • Data from: Distal conformational locks guide reaction pathways for enhanced metallocene mechanochemistry

    Data Citation:
    Zhang, Y., Wang, Z., Kouznetsova, T., Sha, Y., Xu, E., Shannahan, L., … Craig, S. (2020). Data from: Distal conformational locks guide reaction pathways for enhanced metallocene mechanochemistry. Duke Research Data Repository. https://doi.org/10.7924/r4kw5cx8q

  • Data from: Indirectly measured ambient electric fields for lightning initiation in fast breakdown regions

    Data Citation:
    Cummer, S. A. (2020). Data from: Indirectly measured ambient electric fields for lightning initiation in fast breakdown regions. Duke Digital Repository. https://doi.org/10.7924/r4g44p43t

  • Data from: Structural instability and divergence from conserved residues underlie intracellular retention of mammalian odorant receptors

    Data Citation:
    Ikegami, K., de March, C. A., Nagai, M. H., Ghosh, S., Do, M., Sharma, R., ... Matsunami, H. (2019). Data from: Structural instability and divergence from conserved residues underlie intracellular retention of mammalian odorant receptors. Duke Digital Repository. https://doi.org/10.7924/r40867k2k

  • Data from: Deep learning for coastal resource conservation: automating detection of shellfish reefs

    Data Citation:
    Ridge, J. T., Gray, P. C., Windle, A. E., & Johnston, D. W. (2020), Deep learning for coastal resource conservation: automating detection of shellfish reefs. Remote Sens Ecol Conserv. doi:10.1002/rse2.134

  • Verasonics Processing Test Data

    Data Citation:
    Palmeri, M. L. (2019). Verasonics Processing Test Data. Duke Digital Repository. https://doi.org/10.7924/r4df6q75s