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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  • Classified map, Tanintharyi, Myanmar 

    Nomura, Keiko
    This data is a land classification map in support of University of Edinburgh PhD thesis and manuscript titled: "Oil palm concessions in southern Myanmar consist mostly of unconverted forest", Scientific Reports (in ...
  • Human, yeast and pig genomics: sequence submissions and first sequence descriptions in the literature (1980-2015) 

    Wong, Mark; Leng, Rhodri; Viry, Gil; Liscovsky Barrera, Rodrigo; Garcia-Sancho, Miguel
    This data collection is derived from two sources: 1) Submissions of DNA sequences of S. cerevisiae (yeast), Sus scrofa (pig) and Homo sapiens (human) to the European Nucleotide Archive, and 2) First description of these ...
  • Granulation and suspension rheology: a unified treatment 

    Hodgson, Daniel JM; Hermes, Michiel; Blanco, Elena; Poon, Wilson CK
    Mixing a small amount of liquid into a powder can give rise to dry-looking granules; increasing the amount of liquid eventually produces a flowing suspension. We perform experiments on these phenomena using Spheriglass, ...
  • Circuits! - Demonstrating the use of optical fibres in biomedical sciences 

    Ehrlich, Katjana; Parker, Helen E; McNicholl, Duncan K; Reid, Peter; Reynolds, Mark; Bussiere, Vincent; Crawford, Graham; Deighan, Angela; Garrett, Alice; Kufcsák, András; Norberg, Dominic R; Spennati, Giulia; Szoor-McElhinney, Helen; Jimenez, Melanie
    The Circuits! - project, funded through the The Royal Academy of Engineering Ingenious Grant (ING1617/11/114), demonstrates how research at the intersection of physics, engineering, biology, and medicine can be presented ...
  • Imaging Moving Targets for a Forward Scanning Automotive SAR 

    Gishkori, Shahzad; Wright, David; Daniel, Liam; Gashinova, Marina; Mulgrew, Bernard
    In the paper, we extend the forward-scanning SAR methodology to reconstruct images of the moving targets, for a forward-looking automotive radar. This dataset is used to show the performance of our proposed algorithm. A ...

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