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  1. Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach [Neural Network Weights] [Download]

    Title: Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach [Neural Network Weights]
    Contributors: Creator: Atapour-Abarghouei, Amir (Durham University, UK)
    Contact person: Atapour-Abarghouei, Amir (Durham University, UK)
    Editor: Atapour-Abarghouei, Amir (Durham University, UK)
    Contact person: Breckon, Toby P. (Durham University, UK)
    Editor: Breckon, Toby P. (Durham University, UK)
    Description: The data file has been created using PyTorch ( https://pytorch.org
    ) and contains the weights of a generative model trained to perform monocular depth estimation and semantic segmentation. The file is needed as part of the pipeline for the project at  https://github.com/atapour/temporal-depth-segmentation
     Instructions on how the file can be used and how the code is run can also be found at  https://github.com/atapour/temporal-depth-segmentation
    Keywords: Monocular Depth Estimation, Semantic Segmentation, Temporal Consistency, Computer Vision
    Date Uploaded: 15 March 2019

  2. Temporally Consistent Depth Enabled by a Multi-Task Approach [Neural Network Checkpoint]

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    Title: Temporally Consistent Depth Enabled by a Multi-Task Approach [Neural Network Checkpoint]
    Contributors: Creator: Amir Atapour-Abarghouei (Durham University, UK)
    Contact person: Amir Atapour-Abarghouei (Durham University, UK)
    Editor: Amir Atapour-Abarghouei (Durham University, UK)
    Contact person: Toby P. Breckon (Durham University, UK)
    Editor: Toby P. Breckon (Durham University, UK)
    Description:
    Keywords: Semantic segmentation, Temporal consistency, Monocular depth estimation, Scene understanding, Computer vision
    Date Uploaded:

  3. Domain wall encoding of integer variables for quantum annealing and QAOA [dataset] [Download]

    Title: Domain wall encoding of integer variables for quantum annealing and QAOA [dataset]
    Contributors: Creator: Chancellor, Nicholas (Durham University)
    Contact person: Chancellor, Nicholas (Durham University)
    Data collector: Chancellor, Nicholas (Durham University)
    Data curator: Chancellor, Nicholas (Durham University)
    Editor: Chancellor, Nicholas (Durham University)
    Description:
    Keywords: quantum computing, quantum annealing
    Date Uploaded: 11 March 2019

  4. Coupling Molecular Dynamics and Deep Learning to Mine Protein Conformational Space [data and software] [Download]

    Title: Coupling Molecular Dynamics and Deep Learning to Mine Protein Conformational Space [data and software]
    Contributors: Creator: Degiacomi, Matteo (Durham University, UK)
    Contact person: Degiacomi, Matteo (Durham University, UK)
    Data collector: Degiacomi, Matteo (Durham University, UK)
    Data curator: Degiacomi, Matteo (Durham University, UK)
    Editor: Degiacomi, Matteo (Durham University, UK)
    Description: This work features generative neural networks (autoencoders) trained on protein structures produced by molecular simulations. Autoencoders are used to obtain new, plausible conformations complementing and extending pre-existing ones, usable in a protein-protein docking scenario.
    Keywords: molecular modelling, deep learning, molecular dynamics, proteins
    Date Uploaded: 11 March 2019

  5. The magnetic field, temperature, strain and angular dependence of the critical current density for Nb-Ti [dataset] [Download]

    Title: The magnetic field, temperature, strain and angular dependence of the critical current density for Nb-Ti [dataset]
    Contributors: Creator: Chislett-McDonald, S. B. L. (Superconductivity Group, Centre for Materials Physics, Department of Physics, Durham University, DH1 3LE, UK)
    Editor: Kovari, M. (Culham Centre for Fusion Energy, Culham Science Centre, Abingdon, OX14 3EB, UK)
    Editor: Surrey, E. (Culham Centre for Fusion Energy, Culham Science Centre, Abingdon, OX14 3EB, UK)
    Editor: Hampshire, D. P. (Superconductivity Group, Centre for Materials Physics, Department of Physics, Durham University, DH1 3LE, UK)
    Editor: Tsui, Y. (Superconductivity Group, Centre for Materials Physics, Department of Physics, Durham University, DH1 3LE, UK)
    Description:
    Keywords: Multifilamentary superconductors, Type II superconductors, Niobium-Titanium
    Date Uploaded: 8 March 2019

  6. Managing and sharing research data, a training course : 13 March 2019 [other] [Download]

    Title: Managing and sharing research data, a training course : 13 March 2019 [other]
    Contributors: Creator: Syrotiuk, Nicholas (Durham University)
    Creator: Bisset, James (Durham University)
    Description: Slides available on Prezi.com until we pay to download them in a proprietary file format:  https://prezi.com/p/x5sovu3qh1ud/
    Keywords: RDM, Managing research data, Sharing research data
    Date Uploaded: 5 March 2019

  7. Atomised Spray Plasma Deposition of Hierarchical Superhydrophobic Nanocomposite Surfaces [dataset] [Download]

    Title: Atomised Spray Plasma Deposition of Hierarchical Superhydrophobic Nanocomposite Surfaces [dataset]
    Contributors: Contact person: Badyal, Jas Pal (Durham University, UK)
    Creator: Castaneda-Montes, Isaias (Durham University, UK)
    Description:
    Keywords: Bioinspired, Superhydrophobic, Nanocomposite, Atomised spray plasma deposition, Liquid repellency, Microindentation.
    Date Uploaded: 28 February 2019

  8. Bioinspired Multifunctional Polymer–Nanoparticle–Surfactant Complex Nanocomposite Surfaces for Antibacterial Oil–Water Separation [dataset] [Download]

    Title: Bioinspired Multifunctional Polymer–Nanoparticle–Surfactant Complex Nanocomposite Surfaces for Antibacterial Oil–Water Separation [dataset]
    Contributors: Contact person: Badyal, Jas Pal (Durham University, UK)
    Creator: Ritchie, Angus (Durham University, UK)
    Description:
    Keywords: Polymer–nanoparticle–fluorosurfactant complex, Oleophobic–hydrophilic, Antibacterial, Oil–water separation, Anti-fogging.
    Date Uploaded: 28 February 2019

  9. Palladium-Poly(Ionic Liquid) Membranes for Permselective Sonochemical Flow Catalysis [dataset] [Download]

    Title: Palladium-Poly(Ionic Liquid) Membranes for Permselective Sonochemical Flow Catalysis [dataset]
    Contributors: Contact person: Badyal, Jas Pal (Durham University, UK)
    Creator: Wilson, Matthew (Durham University, UK)
    Description:
    Keywords: Membrane-catalaysis
    Date Uploaded: 28 February 2019

  10. Magnetic Recyclable Microcomposite Silica–Steel Core with TiO2 Nanocomposite Shell Photocatalysts for Sustainable Water Purification [dataset] [Download]

    Title: Magnetic Recyclable Microcomposite Silica–Steel Core with TiO2 Nanocomposite Shell Photocatalysts for Sustainable Water Purification [dataset]
    Contributors: Contact person: Badyal, Jas Pal (Durham University, UK)
    Creator: Wilson, Matthew (Durham University, UK)
    Description:
    Keywords: Photocatalysis, Nanocomposite, Water purification, Magnetic recycling, Titania.
    Date Uploaded: 28 February 2019