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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
Database of Individual Seismogenic Sources DCC Template Other Roberto Basili (new window) Opens in new window
'The Armenian Roots of Silvester Krčméry’ DCC Template Univerzita Karlova Anna Kaiser Karapetian (new window) Opens in new window
EzMechanism: An Automated Tool to Propose Catalytic Mechanisms of Enzyme Reactions DCC Template Other Antonio Ribeiro (new window) Opens in new window
A qualitative study exploring patient experiences of comfort during radiotherapy and radiographer views of managing patient comfort during the delivery of radiotherapy DCC Template Other Simon Goldsworthy (new window) Opens in new window
Registered report for an online intervention study testing the Monitor and Acceptance Theory of the therapeutic mechanisms of mindfulness for chronic stress reduction DCC Template University of Surrey Francesco Saldarini (new window) Opens in new window
Experimental and Numerical Assessment of the Hydrogen Micromix Combustion Concept at Elevated Pressures for Gas Turbine Applications DCC Template Cranfield University Alexandros Giannouloudis (new window) Opens in new window
Conservação da biodiversidade da caatinga: estudos genéticos de cervídeos da região dos Inhamuns, um núcleo de áreas de desertificação no estado do Ceará, Brasil. DCC Template Other Luciana Melo (new window) Opens in new window
Evaluating Firm-level heterogeneity in strategic responses to weak signals of industry disruption: The role of dynamic capabilities and organizational information filters DCC Template University of Manchester Funmilola Asa (new window) Opens in new window
Searching Improved Magnetocaloric Materials for Hydrogen Liquefaction Exploiting Magnetic Anisotropy (MAGCALORICH) DCC Template University of Oviedo Pablo Álvarez Alonso (new window) Opens in new window
Vortices in fluids: vortex identification and numerical simulation with the aid of machine learning DCC Template Other Petr Konas (new window) Opens in new window