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  1. Kondo screening in a charge-insulating spinon metal [dataset] [Download]

    Title: Kondo screening in a charge-insulating spinon metal [dataset]
    Contributors: Creator: Gomilšek, Matjaž (Jožef Stefan Institute, Jamova c. 39, SI-1000 Ljubljana, Slovenia & Durham University, South Rd, Durham DH1 3LE, United Kingdom)
    Data curator: Gomilšek, Matjaž (Jožef Stefan Institute, Jamova c. 39, SI-1000 Ljubljana, Slovenia & Durham University, South Rd, Durham DH1 3LE, United Kingdom)
    Creator: Žitko, Rok (Jožef Stefan Institute, Jamova c. 39, SI-1000 Ljubljana, Slovenia & Faculty of Mathematics and Physics, University of Ljubljana, Jadranska c. 19, SI-1000 Ljubljana, Slovenia)
    Creator: Klanjšek, Martin (Jožef Stefan Institute, Jamova c. 39, SI-1000 Ljubljana, Slovenia)
    Creator: Pregelj, Martin (Jožef Stefan Institute, Jamova c. 39, SI-1000 Ljubljana, Slovenia)
    Creator: Baines, Christopher (Laboratory for Muon Spin Spectroscopy, Paul Scherrer Institute, CH-5232 Villigen PSI, Switzerland)
    Creator: Li, Yuesheng (Experimental Physics VI, Center for Electronic Correlations and Magnetism, University of Augsburg, 86159 Augsburg, Germany)
    Creator: Zhang, Qingming (National Laboratory for Condensed Matter Physics and Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China & School of Physical Science and Technology, Lanzhou University, Lanzhou 730000, China)
    Creator: Zorko, Andrej (Jožef Stefan Institute, Jamova c. 39, SI-1000 Ljubljana, Slovenia)
    Contact person: Zorko, Andrej (Jožef Stefan Institute, Jamova c. 39, SI-1000 Ljubljana, Slovenia)
    Description:
    Keywords: Kondo effect, spin liquid, non-Fermi liquid, gauge field, geometric frustration, magnetism, impurity, percolation, muon-spin relaxation, nuclear magnetic resonance, numerical renormalization group
    Date Uploaded: 17 April 2019
  2. Optimisation of the coherence transfer delay in PSYCOSY experiments [dataset] [Download]

    Title: Optimisation of the coherence transfer delay in PSYCOSY experiments [dataset]
    Contributors: Creator: Kenwright, Alan (Durham University, UK)
    Description:
    Keywords: NMR Data
    Date Uploaded: 4 April 2019
  3. A configurational force driven cracking particle method for modelling crack propagation in 2D [dataset] [Download]

    Title: A configurational force driven cracking particle method for modelling crack propagation in 2D [dataset]
    Contributors: Creator: Weilong, Ai (Durham University, UK)
    Creator: Bird, Robert (Durham University, UK)
    Creator: Coombs, William M. (Durham University, UK)
    Creator: Augarde, Charles E. (Durham University, UK)
    Description:
    Keywords: configurational force, cracking particle method, meshless, crack propagation
    Date Uploaded: 3 April 2019
  4. Data management plans (DMPs and maDMPs) [other] [Download]

    Title: Data management plans (DMPs and maDMPs) [other]
    Contributors: Creator: Syrotiuk, Nicholas (Durham University, UK)
    Description: Slides available on Prezi.com until we pay to download them in a proprietary file format:  https://prezi.com/p/udmgch_km-mb
    Keywords: Data management plans, Machine-actionable data management plans, DMPs, maDMPs
    Date Uploaded: 2 April 2019
  5. Local magnetism, magnetic order and spin freezing in the 'nonmetallic metal' FeCrAs [dataset] [Download]

    Title: Local magnetism, magnetic order and spin freezing in the 'nonmetallic metal' FeCrAs [dataset]
    Contributors: Creator: Lancaster, T (Durham University, UK)
    Creator: Huddart, B M (Durham University, UK)
    Creator: Birch, M T (Durham University, UK)
    Creator: Pratt, F L (STFC-ISIS Facility, UK)
    Creator: Porter, D G (Diamond Light Source, UK)
    Creator: Clark, S J (Durham University, UK)
    Creator: Julian, S R (University of Toronto, Canada)
    Creator: Hatton, P D (Durham University, UK)
    Creator: Blundell, S J (University of Oxford, UK)
    Creator: Wu, W (University of Toronto, Canada)
    Description:
    Keywords: muon-spin relaxation, non-Fermi liquid, density functional theory, non-collinear magnetic order, magnetic x-ray scattering
    Date Uploaded: 27 March 2019
  6. 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
  7. Temporally Consistent Depth Enabled by a Multi-Task Approach [Neural Network Checkpoint]

    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:
  8. 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
  9. 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
  10. 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, UK)
    Creator: Bisset, James (Durham University, UK)
    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