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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
OqxAB efflux pumps—an emerging threat to the antibiotic nitrofurantoin? University of Manchester Generic Template University of Manchester Danna Gifford (new window) Opens in new window
Contemporary twin block appliance wear protocols: A survey of UK orthodontists University of Manchester Generic Template University of Manchester QUEENIE ONG (new window) Opens in new window
Study on neural engagement factors in crowdfunding decision making University of Manchester Generic Template University of Manchester Siobhan Caughey (new window) Opens in new window
Engineering evolutionary trajectories in Bdellovibrio to develop sustainable crop protection University of Manchester Generic Template University of Manchester Danna Gifford (new window) Opens in new window
Potential for Magnesium:Nitrogen colimitation in a temperate grassland ecosystems University of Manchester Generic Template University of Manchester Joshua Lynn (new window) Opens in new window
Factors Influencing Usability and Perceived Satisfaction with a Continuous Monitoring and Deterioration Alerting System in a Non-ICU Setting: A Mixed-Methods Study University of Manchester Generic Template University of Manchester Jo-Fan Pan (new window) Opens in new window
Supporting FAIR-from-the-Start with Electronic Research Notebooks University of Manchester Generic Template University of Manchester Zuzanna Zagrodzka (new window) Opens in new window
Telecom-Band Colloidal Semiconductors for Integrated Photonic Light Sources University of Manchester Generic Template University of Manchester Huanqing Ye (new window) Opens in new window
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
Image Segmentation Using Deep Learning Techniques University of Manchester Generic Template University of Manchester Zeinab Tirandaz (new window) Opens in new window