Modelling and visualisation of calcium waves in parotid acinar cells
Modelling and visualisation of calcium waves in parotid acinar cells Professor James Sneyd and Dr John Rugis, Department of Mathematics, University of Auckland Home • Archive for "Data Visualisation" Background The primary role of salivary gland acinar...
Mapping donor contributions in the Pacific
Mapping donor contributions in the Pacific Associate Professor Toeolesulusulu Damon Salesa, Director, New Zealand Institute for Pacific Research. 3D visualisation by Nick Young, Research IT Specialist, Centre for eResearch, University of Auckland....
Visualising humpback whale migration
Visualising humpback whale migration Dr Rochelle Constantine, Senior Lecturer, School of Biological Sciences & Institute of Marine Science. 3D visualisation by Nick Young, Research IT Specialist, Centre for eResearch, University of Auckland...
Visualising the 2010 and 2011 Canterbury earthquakes
Visualising the 2010 and 2011 Canterbury earthquakes Research data simulation produced by Professor Brendon Bradley of QuakeCoRE, University of Canterbury. 3D visualisation by Nick Young, Research IT Specialist, Centre for eResearch, University of Auckland...
Data management planning for MOA*
Data management planning for MOA* *Microlensing Observations in Astrophysics (MOA) Dr Nicholas Rattenbury, Physics, University of Auckland; Associate Professor Ian Bond, Institute of Natural & Mathematical Sciences, Massey. Research data management designed by Rob...
Research data publishing and preservation at COMPASS
Research data publishing and preservation at COMPASS Dr Matthew Moore, Research IT Specialist, Centre for eResearch, University of Auckland Home • Archive for "Training and Enablement" COMPASS data repository The Centre of Methods and Policy Application...
Centre for eResearch machine learning service
There has been significant growth in interest around machine learning and its applications to research. This has largely been driven by advances in algorithms, particularly in neural networks where the use of Graphics Processing Units (GPUs) has reduced the time to train complex or ‘deep’ neural networks by orders of magnitude. With the rise of ‘big data’, researchers are increasingly finding opportunities to apply these methods to deliver new insights.
Building a discrete global grid gazetteer service
Building a discrete global grid gazetteer service Dr Benjamin Adams, Research Fellow, Department of Computer Science and Centre for eResearch, University of Auckland Home • Archive for "Virtual Machines" Discrete global grid gazetteer service A geodesic...