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  1. ‘Thank goodness you’re here’. Exploring the impact on patients, family carers and staff of enhanced 7-day specialist palliative care services: A mixed methods study

    Walshe, C. (Creator), Mateus, C. (Creator), Varey, S. (Creator), Dodd, S. (Creator), Cockshott, Z. (Creator), Filipe, L. (Creator), Brearley, S. (Creator), SAGE Journals, 2023, 10.25384/sage.c.6846744

    Dataset

  2. Evolution of the structure of nanostructured icy samples of heavy-water and deuterium in a broad temperature range - SANS study #external #dataset

    MEZHOV, D. L. P. (Creator), Charles, D. (Creator), Alexander, L. (Creator), Valery, N. (Creator), Albrecht, W. (Creator), Efimov, V. (Creator), Institut Laue-Langevin (ILL), 2012, 10.5291/ill-data.3-15-72

    Dataset

  3. Additional file 1 of A latent class analysis of health risk behaviours in the UK Police Service and their associations with mental health and job strain

    Irizar, P. (Creator), Gage, S. H. (Creator), Fallon, V. (Creator), Goodwin, L. (Creator), Figshare, 2022, 10.6084/m9.figshare.20155666.v1

    Dataset

  4. Dataset used in the assessment of the article "Basic urban services fail to neutralise environmental determinants of 'rattiness', a composite metric of rat abundance"

    Carvalho-Pereira, T. (Creator), Eyre, M. T. (Creator), Zeppelini, C. G. (Creator), Espirito Santo, V. F. (Creator), Santiago, D. C. (Creator), Santana, R. (Creator), Palma, F. (Creator), Reis, M. (Creator), Lustosa, R. (Creator), Khalil, H. (Creator), Diggle, P. (Creator), Giorgi, E. (Creator), Costa, F. (Creator), Begon, M. (Creator), Zenodo, 30/01/2022, 10.5281/zenodo.5920038

    Dataset

  5. 'Data and R-code from 'Bennett, A.C., Rodrigues de Sousa, T., Monteagudo-Mendoza, A. et al. Sensitivity of South American tropical forests to an extreme climate anomaly. Nat. Clim. Chang. 13, 967–974 (2023). https://doi.org/10.1038/s41558-023-01776-4'

    Bennett, A. C. (Creator), Rodrigues de Sousa, T. (Creator), Monteagudo-Mendoza, A. (Creator), Esquivel-Muelbert, A. (Creator), Morandi, P. S. (Creator), Coelho de Souza, F. (Creator), Castro, W. (Creator), Duque, L. F. (Creator), Flores Llampazo, G. (Creator), Manoel dos Santos, R. (Creator), Ramos, E. (Creator), Vilanova Torre, E. (Creator), Alvarez-Davila, E. (Creator), Baker, T. R. (Creator), Costa, F. R. C. (Creator), Lewis, S. L. (Creator), Marimon, B. S. (Creator), Schietti, J. (Creator), Burban, B. (Creator), Araujo-Murakami, A. (Creator), Restrepo Correa, Z. (Creator), Lopez, W. (Creator), Delgado Santana, F. (Creator), Viscarra, L. J. (Creator), De Berenguer Cesar, E. (Creator), ForestPlots.net, 2023, 10.5521/forestplots.net/2023_2

    Dataset

  6. Simulated 15-min discharge time-series and baseline simulations for the River Kent following a Natural Flood Management intervention of 'Enhanced Hillslope Storage', Sedgewick, October 2015 to January 2016

    Chappell, N. (Creator), NERC EDS Environmental Information Data Centre, 9/04/2024, 10.5285/af081a90-b014-43f7-9399-c948a8b7672f.

    Dataset

  7. Simulated 15-min discharge time-series and baseline simulations for the River Kent following a Natural Flood Management intervention of 'Enhanced Hillslope Storage', Sedgewick, October 2015 to January 2016.

    Chappell, N. (Creator), NERC EDS Environmental Information Data Centre, 2024, 10.5285/af081a90-b014-43f7-9399-c948a8b7672f

    Dataset

  8. The Mental Imagery for Suicidality in Students Trial (MISST): study protocol for a feasibility randomised controlled trial of broad-minded affective coping (BMAC) plus risk assessment and signposting versus risk assessment and signposting alone

    Taylor, P. J. (Creator), Duxbury, P. (Creator), Moorhouse, J. (Creator), Russell, C. (Creator), Pratt, D. (Creator), Parker, S. (Creator), Sutton, C. (Creator), Lobban, F. (Creator), Drake, R. (Creator), Eccles, S. (Creator), Ryder, D. (Creator), Patel, R. (Creator), Kimber, E. (Creator), Kerry, E. (Creator), Randles, N. (Creator), Kelly, J. (Creator), Palmier-Claus, J. (Creator), Figshare, 2023, 10.6084/m9.figshare.c.6589868

    Dataset

  9. Framingham risk score conventional risk factors are potent to predict all-cause mortality using machine learning algorithms: a population-based prospective cohort study over 40 years in China

    Huang, Q. (Creator), Zeng, T. (Creator), Zhang, J. (Creator), Min, J. (Creator), Zheng, J. (Creator), Tian, S. (Creator), Huang, H. (Creator), Liu, X. (Creator), Zhang, H. (Creator), Wang, P. (Creator), Hu, X. (Creator), Chen, L. (Creator), SAGE Journals, 2023, 10.25384/sage.c.6633790.v1

    Dataset

  10. Additional file 1 of The impact of professional midwives and mentoring on the quality and availability of maternity care in government sub-district hospitals in Bangladesh: a mixed-methods observational study

    Anderson, R. (Creator), Williams, A. (Creator), Jess, N. (Creator), Read, J. (Creator), Limmer, M. (Creator), Figshare, 2022, 10.6084/m9.figshare.21523833.v1

    Dataset

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