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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
Aristocratic Networks and Pythagoreanism: Roman Foreign Policy, Cultural Interactions, Family Agendas DCC Template Newcastle University Emiliano Panciera (new window) Opens in new window
The LPA1 receptor as a possible biomarker of vulnerability to depression. Role in microglial sensitization and neurogenic changes induced by juvenile stress. (DEPREPrimBRAIN) DCC Template Other Carmen Pedraza Benítez (new window) Opens in new window
Gestão de Dados de Pesquisa no contexto da Ciência Aberta: percepção dos pesquisadores da Universidade Federal do Ceará DCC Template Other Juliana Soares Lima (new window) Opens in new window
Mitigation of Waxing in Oil and Gas Transport Pipelines DCC Template Cranfield University Israel Adefemi (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
Estimating health burden of violence and abuse using admitted patient care data from hospitals in England DCC Template City St George's, University of London Anastasia Fadeeva (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
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
Network on Neurosymbolic Systems for Medicine DCC Template City St George's, University of London Ernesto Jimenez-Ruiz (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