Browsing University of Nottingham Research Data Management Service by Subject "T Technology"
Now showing items 1-8 of 8
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Automated Searching and Identification of Self-Organised Nanostructures - Output Images
(The University of Nottingham, 2020-08-05)A dataset of >5000 variable AFM dewetting images as classified by a machine learning system. This network was trained on specific, automatically labelled simulations of target nanoparticle structures present within the dataset. -
Blythe House-3D Prototype
(The University of Nottingham., 2019-03-31)The 3D prototype is a production of collections stored in two carefully selected rooms in Blythe House: the Dentistry and Communications collections -
Ceramic City Stories -Science Museum Residency
(The University of Nottingham., 2018-03-31)This is research data related to a research project titled Science Museum: Community-in-Residence. Two digital projects emerged from this project - the research data of which has been captured, processed and deposited in ... -
Connected Everything Industry Interviews : Priorities for Digital Manufacturing
(The University of Nottingham, 2069-08-01)To ascertain industry perspectives on digital manufacturing in the UK, and thereby identify fundamental and applied research challenges in digital manufacturing which will enable the acceleration of improvement in productivity. -
Data for: Residual polymer stabiliser causes anisotropic conductivity in metal nanoparticle 2D and 3D printed electronics
(The University of Nottingham, 2020-10-30)Experimental data for manuscript "Residual polymer stabiliser causes anisotropic conductivity in metal nanoparticle 2D and 3D printed electronics". Contents: - Raw and exported ToF-SIMS and orbiSIMS data (.itmx and ... -
Data from "What can I say?: effects of discoverability in VUIs on task performance and user experience"
(The University of Nottingham, 2020-06-19)This is the data that was used to support the CUI 2020 publication "What Can I Say? Effects of Discoverability in VUIs on Task Performance and User Experience": Philipp Kirschthaler, Martin Porcheron, and Joel E Fischer. ... -
DigiScore TENOR commission: Lauren McCall
(University of Nottingham, 2023-07-27)Kaleidoscore is a digital score created through a Neoscore platform by composer Lauren McCall. The digital score incorporates digital images, shapes and key codes sending OSC messages in Neoscore to trigger 4 backing track ... -
DigiScore TENOR commissions: Ingrid Laubrock and Kitty Xiao
(University of Nottingham, 2023-07-27)DigiScore project was happy to support 2 commissions through our University of Concordia (Canada) partner Sandeep Bhagwati. These works were Tendons for Transformation by Kitty Xiao and Path/Fields by Ingrid Laubrock. Both ...