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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
Sedimentary provenance and dispersion in the Ediacaran-Cambrian interval of the Southern Ribeira Belt DCC Template Universidade de São Paulo Larissa Santos (new window) Opens in new window
Monitoring Earth’s Evolution and Tectonics, WP11 - IPSES - Italian Platform for Solid Earth Science, Activity 11.9a - Services and interoperability layers for distributing earthquake faulting data in 4D DCC Template Other Roberto Basili (new window) Opens in new window
Dynamic characterisation of porous engineering fluids with low-field MRI DCC Template Queen's University Belfast Neil Robinson (new window) Opens in new window
Bagaudae jakožto síla lidového odporu na přelomu antiky a středověku DCC Template Other Oto Mestek (new window) Opens in new window
Acceptability, fidelity, and feasibility of the PROTECT behaviour change intervention to improve responsiveness to clinically deteriorating patients in acute hospital wards: a pre-pilot and randomised pilot study DCC Template City St George's, University of London Duncan Smith (new window) Opens in new window
Global Dip (G-DIP): a collection of earthquake fault dip angles DCC Template Other Roberto Basili (new window) Opens in new window
Accent, Space and Place in US Country Music, English Choral Music and British Indie Rock DCC Template Newcastle University Richard Bracknellin (new window) Opens in new window
Investigation of the properties and behaviour of magnetically sensitive bodies and fluids for the design of advanced bearing elements DCC Template Other Petr Konas (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
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