Nottingham Research Data Management Repository
Welcome to the online digital research data repository of multi-disciplinary research datasets produced at the University of Nottingham, hosted by Digital and Technology Services and managed and curated by University of Nottingham Libraries.
University of Nottingham researchers who have produced research data associated with an existing or forthcoming publication, or which has potential use for other researchers, are invited to upload their dataset. For each published dataset, a Datacite DOI is issued by this service. For detailed instructions as to how to make a deposit, please see our Data Sharing Guide
Recently Added
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Data for 'Attitudes to the use of animals in biomedical research: Effects of stigma and selected research project summaries'
(The University of Nottingham, 2023-05-26)Data accompanying the manuscript 'Attitudes to the use of animals in biomedical research: Effects of stigma and selected research project summaries', to be made freely available post-publication, as well as shared through ... -
Patch Area and Uniform Sampling on the Surface of Any Ellipsoid
(The University of Nottingham, 2023-05-19)Source code (C++), run script (shell), and analysis scripts (Python) in relation to the article "Patch Area and Uniform Sampling on the Surface of Any Ellipsoid" -
Data for "Rejection-free quantum Monte Carlo in continuous time from transition path sampling"
(The University of Nottingham, 2022-05-16)Contains the data used in all figures throughout the publication "Rejection-free quantum Monte Carlo in continuous time from transition path sampling" by Luke Causer, Konstantinos Sfairopoulos, Jamie F. Mair, and Juan P. Garrahan. -
DATA for: Measuring "Group Cohesion" to Reveal the Power of Social Relationships in Team Production
(The University of Nottingham, 2023-05-05)This dataset contains the data and analysis files of experiments conducted in the CeDEx laboratory at the University of Nottingham and at the BEEL laboratory at the University of Birmingham. -
Dataset for Designing and simulating realistic spatial frequency domain imaging systems using open-source 3D rendering software
(The University of Nottingham, 2023-05-02)Dataset and code for simulations and analysis presented in paper "Designing and simulating realistic spatial frequency domain imaging systems using open-source 3D rendering software"
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