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Development of Miniature Optical Instrumentation for Skin and Epithelial Tissue
Title: Development of Miniature Optical Instrumentation for Skin and Epithelial Tissue Contributors: Contact person: Mr Amrit Lotay (Durham)
Editor: Mr Amrit Lotay (Durham)
Creator: Mr Amrit Lotay (Durham)
Data collector: Mr Amrit Lotay (Durham)
Data curator: Mr Amrit Lotay (Durham)
Description: Keywords: Date Uploaded: -
Magnetic order and enhanced exchange in the quasi-one-dimensional molecule-based antiferromagnet Cu(NO3)2(pyz)3 [dataset] [Download]
Title: Magnetic order and enhanced exchange in the quasi-one-dimensional molecule-based antiferromagnet Cu(NO3)2(pyz)3 [dataset] Contributors: Creator: Lancaster, Tom (Durham University, UK)
Creator: Huddart, Benjamin M (Durham University, UK)
Creator: Brambleby, Jamie (University of Warwick, UK)
Creator: Goddard, Paul A (University of Warwick, UK)
Creator: Xiao, Fan (Paul Scherrer Institut, Switzerland)
Creator: Blundell, Stephen J (University of Oxford, UK)
Creator: Pratt, Francis L (STFC ISIS Facility, UK)
Creator: Singleton, John (Los Alamos National Laboratory, US)
Creator: Macchi, Piero (University of Bern, Switzerland)
Creator: Scatena, Rebecca (University of Bern, Switzerland)
Creator: Barton, Alyssa M (Eastern Washington University, US)
Creator: Manson, Jamie L (Eastern Washington University, US)
Description: Keywords: molecular magnet, magnetic order, magnetic exchange Date Uploaded: 16 December 2018 -
Computer-aided patterning design for self-assembled microsphere lithography [Download]
Title: Computer-aided patterning design for self-assembled microsphere lithography Contributors: Creator: Lees, Rhiannon (Durham, University, UK)
Description: Keywords: Microlithography, Patterning, Self-Assembly Date Uploaded: 14 December 2018 -
A parabolic level set reinitialisation method using a discontinuous Galerkin discretisation [figure data] [Download]
Title: A parabolic level set reinitialisation method using a discontinuous Galerkin discretisation [figure data] Contributors: Creator: Adams, Thomas (University of Durham, UK)
Contact person: Adams, Thomas (University of Durham, UK)
Creator: McLeish, Nicholas (University of Durham, UK)
Creator: Giani, Stefano (University of Durham, UK)
Creator: Coombs, William M (University of Durham, UK)
Description: Keywords: Level set method, Reinitialisation, Discontinuous Galerkin Date Uploaded: 12 December 2018 -
Braiding, branching and chiral amplification of nanofibres in supramolecular gels [dataset] [Download]
Title: Braiding, branching and chiral amplification of nanofibres in supramolecular gels [dataset] Contributors: Creator: Steed, Jonathan (Durham University)
Contact person: Steed, Jonathan (Durham University)
Editor: Steed, Jonathan (Durham University)
Description: Keywords: Gels Date Uploaded: 5 December 2018 -
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 -
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 -
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: -
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 -
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