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 Information Services and managed and curated by Libraries, Research & Learning Resources.

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 Depositing Guide

Recently Added

  • Discovery of a novel polymer for xeno-free, long-term culture of human pluripotent stem cell expansion 

    Nasir, Aishah; Thorpe, Jordan; Burroughs, Laurence; Alexander, Morgan; Denning, Chris; Meurs, Joris (The University of Nottingham, 2021-01-20)
    Discovery of poly(TCDMDA-blend-BA) polymer substrate offers a cost-effective and xeno-free adherent culture system for human pluripotent stem cells (hPSCs) in E8 medium. This is a scalable substrate which can be readily ...

  • Remote sensing liana infestation in an a seasonal tropical forest: addressing mismatch in spatial units of analyses 

    van der Heijden, Geertje; Cutler, Mark; Costa, Hugo; Nilus, Reuben; Boyd, Doreen; Foody, Giles (The University of Nottingham, 2021-01-19)
    All data and R scripts for the processing of airborne hyperspectral/lidar data and modelling of the spatial distribution of liana infestation in Sabah, Malaysia.

  • 3D woven optimisation deposit 

    Spackman, George (The University of Nottingham, 2021-01-15)
    Data for optimisation paper. PBC optimisation data folder contains the results of flat weave optimisation using PBC and any related data. HPC optimisation data folder contains any data relating to the delamination ...

  • A protocol for modelling chronic pain using the UK Biobank Brain Imaging Data 

    Pszczolkowski, Stefan; Hodkinson, Duncan; Drabek, Marianne; Mohammadi-Nezhad, Ali-Reza; Sotiropoulos, Stamatios; Auer, Dorothee P.; Tench, Christopher R. (The University of Nottingham, 2021-01-14)
    Protocol for work on modelling chronic pain using the UK Biobank Brain Imaging Data

  • BRIGhTMIND baseline imaging analysis plan 

    Cottam, William; Briley, Paul; Liddle, Peter; Auer, Dorothee; Morriss, Richard (The University of Nottingham, 2021-01-13)
    Documented analysis plan and approach for the interim analysis of baseline neuroimaging data from the BRIGhTMIND TMS trial.

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