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The CamCAN Lifespan Neuroimaging Dataset, Cambridge (UK) Centre for Ageingand Neuroscience, was acquired and processed beginning in December, 2016. Thereferee consensus solver deployed to the Open Science Grid was used for thistask. The dataset includes demographic and screening measures, ahigh-resolution MRI scan of the brain, and whole-head magnetoencephalographic(MEG) recordings during eyes closed rest (560 sec), a simple task (540 sec),and passive listening/viewing (140 sec). The data were collected from 619neurologically normal individuals, ages 18-87. The processed results from theresting recordings are completed and available online. These constitute 1.7TBytes of data including the location within the brain (1 mm resolution), timestamp (1 msec resolution), and 80 msec time course for each of 3.7 billionvalidated neuroelectric events, i.e. mean 6.1 million events for each of the619 participants.  The referee consensus solver provides high yield (mean 11,000 neuroelectriccurrents/sec; standard deviation (sd): 3500/sec) high confidence (p < 10-12 foreach identified current) measures of the neuroelectric currents whose magneticfields are detected in the MEG recordings. We describe the solver, theimplementation of the solver deployed on the Open Science Grid, the workflowmanagement system, the opportunistic use of high performance computing (HPC)resources to add computing capacity to the Open Science Grid reserved for thisproject, and our initial findings from the recently completed processing of theresting recordings. This required 14 million core hours, i.e. 40 core hours persecond of data.

Shared High Value Research Resources: The CamCAN Human Lifespan Neuroimaging Dataset Processed on the Open Science Grid