Research Data Leeds Repository

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Comer, Christine and Ammendolia, Carlo and Battié, Michele C. and Bussières, André and Fairbank, Jeremy and Haig, Andrew and Melloh, Markus and Redmond, Anthony and Schneider, Michael J. and Standaert, Christopher J. and Tomkins-Lane, Christy and Williamson, Esther and Wong, Arnold Y. L. (2022) Lumbar Spinal Stenosis treatment algorithm consensus - an international Delphi study. University of Leeds. [Dataset] https://doi.org/10.5518/1106

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Green, Sophie M. C. and Hall, Louise H. and French, David P. and Rousseau, Nikki and Parbutt, Catherine and Walwyn, Rebecca and Smith, Samuel G. (2023) Data associated with 'Optimization of an information leaflet to influence medication beliefs in women with breast cancer: a randomized factorial experiment'. University of Leeds. [Dataset] https://doi.org/10.5518/1302

Green, Sophie M. C. and Smith, Samuel G. (2024) Dataset for a randomised factorial experiment to optimise an information leaflet for women with breast cancer. University of Leeds. [Dataset] https://doi.org/10.5518/1467

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Hany, Ummey and Nikolopoulos, Georgios and Smith, Claire and Watson, Christopher M. and Inglehearn, Chris and Mighell, Alan (2020) Developing a quick, cost-effective genetic screen for enamel disease. University of Leeds. [Dataset] https://doi.org/10.5518/854

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Jablonski, Rachael Y. and Bojke, Chris and Pavitt, Sue H. and Nattress, Brian R. and Keeling, Andrew J. (2023) Digital database of nose models for nasal prosthesis design generated with 3D morphable face model approach. University of Leeds. [Dataset] https://doi.org/10.5518/1228

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MacCannell, Amanda and Whitehead, Anna and Moran, Amy and Roberts, Lee (2020) Sexism of Fat: Is it sufficient to use only one sex in obesity research? University of Leeds. [Dataset] https://doi.org/10.5518/853

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Shi, Jian and Hyman, Adam J. and De Vecchis, Dario and Chong, Jiehan and Lichtenstein, Laeticia and Futers, Simon T. and Rouahi, Myriam and Negre Salvayre, Anne and Auge, Nathalie and Kalli, Antreas and Beech, David J. (2020) Sphingomyelinase Disables Inactivation in Endogenous PIEZO1 Channels. University of Leeds. [Dataset] https://doi.org/10.5518/725