Edinburgh DataShare is a digital repository of research data produced at the University of Edinburgh, hosted by Information Services. Edinburgh University 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 sharing and safekeeping. A persistent identifier and suggested citation will be provided.

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  • Synthetic data and code for "Bayesian geophysical inversion using invertible neural networks" 

    Zhang, Xin; University of Edinburgh
    This dataset contains the synthetic data and codes used to generate those data for manuscript "Bayesian geophysical inversion using invertible neural networks".
  • The impact of acute loud noise on the behaviour of laboratory birds - data 

    Corbani, Tayanne; Healy, Susan; Martin, Jessica
    We examined whether exposure to a routine laboratory noise, a low-frequency fire alarm test, induced behavioural changes in laboratory zebra finches (Taeniopygia guttata). Twenty-four breeding pairs of zebra finches were ...
  • Synthetic IR data for the Attia et al. (2020) battery dataset 

    Strange, Calum; dos Reis, Goncalo
    Data was produced to accompany the paper Strange et al. (2020, Nov): Calum Strange, Shawn Li, Richard Gilchrist and Goncalo dos Reis, 2020 Nov, 'Predicting capacity and internal resistance of Li-ion cells: A machine ...
  • Associations between alcohol use and accelerated biological ageing 

    Bøstrand, Sunniva MK; Vaher, Kadi; De Nooij, Laura; Harris, Matthew A; Cole, James H; Cox, Simon R; Marioni, Riccardo E; McCartney, Daniel L; Walker, Rosie M; McIntosh, Andrew M; Evans, Kathryn L; Whalley, Heather C; Wootton, Robyn E; Clarke, Toni-Kim
    Data supporting the manuscript "Associations between alcohol use and accelerated biological ageing". Specifically: Genome Wide Association Study of brain age.
  • GenOMICC Covid-19 summary statistics European ancestry 

    Pairo-Castineira, Erola; BBSRC - Biotechnology and Biological Sciences Research Council; MRC - Medical Research Council; NIHR - National Institute for Health Research; Bill & Melinda Gates Foundation; University of Edinburgh; Wellcome Trust; Sepsis Research (the Fiona Elizabeth Agnew Trust); Intensive Care Society; UK Department of Health and Social Care; UKRI and LifeArc; EU Platform foR European Preparedness Against (Re-) emerging Epidemics (PREPARE)
    GWAS summary statistics for European ancestry, from the GenOMICC Covid-19 critical illness study. GWAS was performed with 1676 Europeans and 5*1676 controls and validated using 100K Genomics England controls and Generation ...

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