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  1. Fire Image Data Set for Dunnings 2018 study - PNG still image set [Download]

    Title: Fire Image Data Set for Dunnings 2018 study - PNG still image set
    Contributors: Data curator: Dunnings, Andy (Durham University, UK)
    Data collector: Dunnings, Andy (Durham University, UK)
    Creator: Dunnings, Andy (Durham University, UK)
    Editor: Breckon, Toby (Durham University, UK)
    Contact person: Breckon, Toby (Durham University, UK)
    Description:
    Keywords: Fire detection, Deep learning, Machine learning, Computer vision
    Date Uploaded: 30 July 2018
  2. Citation Data Comparison [dataset] [Download]

    Title: Citation Data Comparison [dataset]
    Contributors: Creator: Bisset, James (Durham University, United Kingdom)
    Contact person: Bisset, James (Durham University, United Kingdom)
    Data collector: Bisset, James (Durham University, United Kingdom)
    Editor: Bisset, James (Durham University, United Kingdom)
    Description:
    Keywords: Citations, Scopus, Google Scholar, Web of Science, Blog, Scholarly Communication
    Date Uploaded: 17 July 2019
  3. On Lagrangian mechanics and the material point method for large deformation elasto-plasticity [dataset] [Download]

    Title: On Lagrangian mechanics and the material point method for large deformation elasto-plasticity [dataset]
    Contributors: Creator: Coombs, W.M. (Durham University, UK)
    Creator: Augarde, C.E. (Durham University, UK)
    Creator: Brennan, A.J. (University of Dundee, UK)
    Creator: Brown, M.J. (University of Dundee, UK)
    Creator: Charlton, T.J. (Durham University, UK)
    Creator: Knappett, J.A. (University of Dundee, UK)
    Creator: Ghaffari Motlagh, Y. (University of Sheffield, UK)
    Creator: Wang, L. (Durham University, UK)
    Description: Figure dataset for "On Lagrangian mechanics and the material point method for large deformation elasto-plasticity"
    Keywords: material point method, Lagrangian mechanics, elasto-plasticity, finite deformation mechanics
    Date Uploaded: 11 July 2019
  4. On the use of domain-based material point methods for problems involving large distortion [dataset] [Download]

    Title: On the use of domain-based material point methods for problems involving large distortion [dataset]
    Contributors: Creator: Wang, Lei (Durham University, UK)
    Creator: Coombs, William (Durham University, UK)
    Creator: Augarde, Charles (Durham University, UK)
    Description:
    Keywords: Material Point Method , Convected Particle Domain Interpolation, large deformation mechanics, elasto-plasticity, distortion
    Date Uploaded: 9 July 2019
  5. Increased Lifetime of Metastable Skyrmions by Controlled Doping [dataset] [Download]

    Title: Increased Lifetime of Metastable Skyrmions by Controlled Doping [dataset]
    Contributors: Creator: Birch, Thomas, Max (Durham University)
    Contact person: Hatton, Peter (Durham University)
    Description:
    Keywords: Skyrmion, Magnetism
    Date Uploaded: 9 July 2019
  6. Magnetic Feshbach resonances in ultracold collisions between Cs and Yb atoms [dataset] [Download]

    Title: Magnetic Feshbach resonances in ultracold collisions between Cs and Yb atoms [dataset]
    Contributors: Creator: Yang, B. C. (Durham University, UK)
    Creator: Frye, Matthew D. (Durham University, UK)
    Guttridge, A. (Durham University, UK)
    Aldegunde, Jesus (Universidad de Salamanca, Spain)
    Żuchowski, Piotr S. (Nicolaus Copernicus University, Poland)
    Cornish, Simon L. (Durham University, UK)
    Creator: Hutson, Jeremy M. (Durham University, UK)
    Description:
    Keywords: Feshbach resoance, Cs, Yb, Ultracold scattering
    Date Uploaded: 4 July 2019
  7. Managing and sharing research data​ : an RDM training course [other] [Download]

    Title: Managing and sharing research data​ : an RDM training course [other]
    Contributors: Creator: Syrotiuk, Nicholas (Durham University)
    Description: Part of a Northern Ireland and North East Doctoral Training Partnership (NINE DTP) workshop called "Making the most of your data," held at Durham on 09 July 2019.​
    Keywords: Research data management, Data management planning
    Date Uploaded: 3 July 2019
  8. Acetone project data

    Title: Acetone project data
    Contributors: Data collector: Al Taisan, Nada (Durham University, UK)
    Contact person: Carty, David (Durham University, UK)
    Contact person: Wrede, Eckart (Durham University, UK)
    Description: Metadata for Nada Al Taisan's PhD thesis.
    Keywords:
    Date Uploaded:
  9. Probing magnetic order and disorder in the one-dimensional molecular spin chains CuF2(pyz) and [Ln(hfac)3(boaDTDA)]n (Ln=Sm, La) using implanted muons [dataset] [Download]

    Title: Probing magnetic order and disorder in the one-dimensional molecular spin chains CuF2(pyz) and [Ln(hfac)3(boaDTDA)]n (Ln=Sm, La) using implanted muons [dataset]
    Contributors: Creator: Lancaster, T. (Durham University, UK)
    Creator: Huddart, B.M. (Durham University, UK)
    Creator: Williams, R.C. (Durham University, UK)
    Creator: Xiao, F. (Durham University, UK)
    Creator: Franke, K.J.A. (Durham University, UK)
    Creator: Baker, P.J. (STFC-ISIS Facility, UK)
    Creator: Pratt, F.L. (STFC-ISIS Facility, UK)
    Creator: Blundell, S.J. (University of Oxford, UK)
    Creator: Schlueter, J.A. (Argonne National Laboratory, US)
    Creator: Mills, M.B. (University of Guelph, Canada)
    Creator: Maahs, A.C. (University of Guelph, Canada)
    Creator: Preuss, K.E. (University of Guelph, Canada)
    Description:
    Keywords: Muon-spin relaxation, One-dimensional magnetism, Radical magnetism
    Date Uploaded: 2 July 2019
  10. Multi-Task Regression-based Learning for Autonomous Unmanned Aerial Vehicle Flight Control within Unstructured Outdoor Environments

    Title: Multi-Task Regression-based Learning for Autonomous Unmanned Aerial Vehicle Flight Control within Unstructured Outdoor Environments
    Contributors: Creator: Maciel-Pearson,Bruna (Durham University)
    Creator: Breckon, Toby (Durham University)
    Description:
    Keywords: unstructured environment, robot guidance, flight guidance, unmanned aerial vehicle, multi-task regression learning, deep learning, drone, unmanned aerial system
    Date Uploaded: