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Public DMPs

Public DMPs are plans created using the DMPonline service and shared publicly by their owners. They are not vetted for quality, completeness, or adherence to funder guidelines.

Project title  Template  Organisation Owner Download
Decontamination of Mercury Polluted- Water and Agricultural Soils in Ghana using Nanotechnology University of Manchester Generic Template University of Manchester David Lewis (new window) Opens in new window
Identifying Mechanisms of Failure of Cartilage Repair Surgery University of Manchester Generic Template University of Manchester Gwenllian Tawy (new window) Opens in new window
Understanding the health and social impact of 'Volunteering 4 all', a volunteering programme for out of work individuals. University of Manchester Generic Template University of Manchester Edward Stagg (new window) Opens in new window
Delineating a full phenotype of health, neurodevelopment and adaptive functioning in children and young adults with Fetal Valproate Spectrum Disorder. University of Manchester Generic Template University of Manchester Matthew Bluett-Duncan (new window) Opens in new window
Hector's Plan University of Manchester Generic Template University of Manchester Hector Iacovides (new window) Opens in new window
Competitive and soil nutrient controls of tree seedling establishment and survival in old field succession University of Manchester Generic Template University of Manchester Joshua Lynn (new window) Opens in new window
Tests for assessing extended high-frequency hearing in humans: a scoping review University of Manchester Generic Template University of Manchester Melanie Lough (new window) Opens in new window
Fluoridation modifies the quantum coherence of near-infrared organic rare-earth molecules (FaMiQ) University of Manchester Generic Template University of Manchester Huanqing Ye (new window) Opens in new window
Guilt and shame amongst mentally unwell offenders - Legal Professionals University of Manchester Generic Template Not applicable Unknown (new window) Opens in new window
Image Segmentation Using Deep Learning Techniques University of Manchester Generic Template University of Manchester Zeinab Tirandaz (new window) Opens in new window