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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
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
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
Insights into confinement effects on structural properties of liquids by total neutron scattering University of Manchester Generic Template University of Manchester Marta Falkowska (new window) Opens in new window
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
The Troponin-only Manchester Acute Coronary Syndromes (T-MACS) Choice Feasibility Study University of Manchester Generic Template University of Manchester Patricia van den Berg (new window) Opens in new window
What teaching strategies are used by Teachers of the Deaf and mainstream teachers to support deaf children’s (KS1 and KS2) access to the science curriculum? University of Manchester Generic Template University of Manchester Maria Rafaela Michalopoulou (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
Hector's Plan University of Manchester Generic Template University of Manchester Hector Iacovides (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