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  1. Torso rotation and hand position modulation functional MRI [dataset] [Download]

    Title: Torso rotation and hand position modulation functional MRI [dataset]
    Contributors: Creator: Connolly, Jason (Durham University, UK)
    Data collector: Cacace, Alessia (Durham University, UK)
    Data collector: Podmore, Joshua (Durham University, UK)
    Description: The following three .zip files contain: 1. RawSaccadotopy data: Eyetracking data for an experiment in which an EyeLink 2 was used to record monocular eye position under one of three torso orientations (torso under head). The head position was always facing the screen. There were 5 runs per torso orientation (or 15 runs across the 3 experimental torso rotation conditions). R = Right; L = left and C = Center 2. HandCentredStudyRaw data: functional MRI data for 7 participants (one scan session each). Each participant has: 1. An Anatomy file (both high resolution and in-planes in .hdr/.img pairs.) and functional T2* datasets (HL and HR). HL: refers to hand left; and HR: refers to hand right (or alongside the body). These are also in .hdr/.img (Analyze) format. CW: Clockwise progression of saccade targets; CCW: Counterclockwise progression of saccade targets. 3. TorsoRotationStudyRaw data: functional MRI data for 6 participants scanned across two separate scan sessions each. S1 – S6. TC: Torso Centre; TL: Torso Left; and TR: Torso Right. Each has an Anatomy and Raw directory. The Anatomy directory has the inplane and high resolution 3D anatomies. The Raw/TSeries directory has all of the functional T2* data (Analyze format). CW: Clockwise progression of saccade targets; CCW: Counterclockwise progression of saccade targets.
    Keywords: functional Magnetic Resonance Imaging, parietal cortex, topographic mapping, static body position, delayed saccades, hand position changes
    Date Uploaded: 28 November 2018
  2. Magnetic trapping and velocity map imaging of O atoms [dataset] [Download]

    Title: Magnetic trapping and velocity map imaging of O atoms [dataset]
    Contributors: Creator: Eardley, Jack (Durham University)
    Data collector: Eardley, Jack (Durham University)
    Contact person: Wrede, Eckart (Durham University)
    Contact person: Carty, David (Durham University)
    Description:
    Keywords: Magnetic trapping, Photostop, Chemical Physics, Physical Chemistry, Molecular beams, Velocity map imaging, Laser chemistry
    Date Uploaded: 26 November 2018
  3. On The Impact Of Varying Region Proposal Strategies For Raindrop Detection And Classification Using Convolutional Neural Networks - Supporting Materials

    Title: On The Impact Of Varying Region Proposal Strategies For Raindrop Detection And Classification Using Convolutional Neural Networks - Supporting Materials
    Contributors: Data collector: Guo, Tiancheng (Durham Univesity, UK)
    Data curator: Guo, Tiancheng (Durham Univesity, UK)
    Creator: Breckon, Toby (Durham University, UK)
    Data collector: Breckon, Toby (Durham University, UK)
    Data curator: Breckon, Toby (Durham University, UK)
    Editor: Breckon, Toby (Durham University, UK)
    Description:
    Keywords: Computer vision, Convolutional neural networks (CNN), Raindrop detection, Rain detection, Rain removal, Rain noise removal, Rain interference, Scene context, Raindrop saliency, Rain classification, Deep learning
    Date Uploaded:
  4. Pretrained Neural Network Models for Guo 2018 study - TensorFlow format [Download]

    Title: Pretrained Neural Network Models for Guo 2018 study - TensorFlow format
    Contributors: Creator: Guo, Tiancheng (Durham University, UK)
    Data collector: Guo, Tiancheng (Durham University, UK)
    Data curator: Guo, Tiancheng (Durham University, UK)
    Contact person: Breckon, Toby (Durham University, UK)
    Data curator: Breckon, Toby (Durham University, UK)
    Editor: Breckon, Toby (Durham University, UK)
    Description:
    Keywords: Computer vision, Raindrop detection, Rain detection, Rain removal, Rain noise removal, Rain interference, Scene context, Raindrop saliency, Rain classification, Convolutional neural network (CNN), Deep learning
    Date Uploaded: 25 November 2018
  5. Rain Drop Image Data Set for Guo 2018 study - still image set [Download]

    Title: Rain Drop Image Data Set for Guo 2018 study - still image set
    Contributors: Creator: Guo, Tiancheng (Durham University, UK)
    Data collector: Guo, Tiancheng (Durham University, UK)
    Data curator: Guo, Tiancheng (Durham University, UK)
    Contact person: Breckon, Toby (Durham University, UK)
    Data curator: Breckon, Toby (Durham University, UK)
    Editor: Breckon, Toby (Durham University, UK)
    Description:
    Keywords: Computer vision, Raindrop detection, Rain detection, Rain removal, Rain noise removal, Rain interference, Scene context, Raindrop saliency, Rain classification, Convolutional neural network (CNN), Deep learning
    Date Uploaded: 25 November 2018
  6. Accurate Configuration Force Evaluation via hp-adaptive Discontinuous Galerkin Finite Element Analysis [dataset] [Download]

    Title: Accurate Configuration Force Evaluation via hp-adaptive Discontinuous Galerkin Finite Element Analysis [dataset]
    Contributors: Creator: Bird, Robert (Durham University, UK)
    Creator: Coombs, William Michael (Durham University, UK)
    Creator: Giani, Stefano (Durham University, UK)
    Description:
    Keywords: Error estimates, Configurational force, Discontinuous Galerkin, Brittle fracture, Computational fracture mechanics
    Date Uploaded: 21 November 2018
  7. The Influence of Cholesterol on Melittin Lipidation in Neutral Membranes [dataset] [Download]

    Title: The Influence of Cholesterol on Melittin Lipidation in Neutral Membranes [dataset]
    Contributors: Creator: Britt, Hannah (Durham University, UK)
    Contact person: Sanderson, John (Durham University, UK)
    Contact person: Mosely, Jackie (Durham University, UK)
    Description:
    Keywords: Melittin, Cholesterol, Lipidation
    Date Uploaded: 21 November 2018
  8. B-spline based boundary conditions in the material point method [figure data] [Download]

    Title: B-spline based boundary conditions in the material point method [figure data]
    Contributors: Contact person: Coombs, William (Durham University, UK)
    Creator: Bing, Yun (Durham University, UK)
    Description:
    Keywords: Material point method, B-spline, Boundary conditions, Non-matching meshes, Implicit boundary method
    Date Uploaded: 9 November 2018
  9. Directory of UK Based Test and Demonstration Facilities for Wind Technologies [database] [Download]

    Title: Directory of UK Based Test and Demonstration Facilities for Wind Technologies [database]
    Contributors: Creator: Donatella Zappalá (Durham University, Department of Engineering)
    Contact person: Donatella Zappalá (Durham University, Department of Engineering)
    Data collector: Donatella Zappalá (Durham University, Department of Engineering)
    Data curator: Donatella Zappalá (Durham University, Department of Engineering)
    Editor: Donatella Zappalá (Durham University, Department of Engineering)
    Contact person: Christopher J Crabtree (Durham University, Department of Engineering)
    Editor: Christopher J Crabtree (Durham University, Department of Engineering)
    Editor: Simon Hogg (Durham University, Department of Engineering)
    Description:
    Keywords: Wind turbines, Test facilities , Demonstration facilities , De-risk technology development, Full range of Technology Readiness Levels
    Date Uploaded: 7 November 2018
  10. Photoassociation of ultracold CsYb molecules and determination of interspecies scattering lengths [dataset] [Download]

    Title: Photoassociation of ultracold CsYb molecules and determination of interspecies scattering lengths [dataset]
    Contributors: Creator: Guttridge, Alex (Durham University, UK)
    Description:
    Keywords: Photoassociation, Bose-Einstein condensation, Ultracold molecules, Ytterbium, Caesium
    Date Uploaded: 2 October 2018