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Shared high value research resources: The CamCAN human lifespan neuroimaging dataset processed on the open science grid

机译：共享的高价值研究资源：在开放式科学网格上处理的CamCAN人寿命神经影像数据集

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The CamCAN Lifespan Neuroimaging Dataset [1,2], Cambridge (UK) Centre for Ageing and Neuroscience, was acquired and processed beginning in December, 2016. The referee consensus solver deployed to the Open Science Grid [3,4] was used for this task. The dataset includes demographic and screening measures, a high-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 619 neurologically normal individuals, ages 18-87. The processed results from the resting recordings are completed and available for download at http://stash.osgconnect.net/+krieger/. These constitute ≈1.7 TBytes of data including the location within the brain (1 mm resolution), time stamp (1 msec resolution), and 80 msec time course for each of 3.7 billion validated neuroelectric events, i.e. mean 6.1 million events for each of the 619 participants. The referee consensus solver provides high yield (mean 11,000 neuroelectric currents/sec; standard deviation (sd): 3500/sec) high confidence (p <; 10-12 for each identified current) measures of the neuroelectric currents whose magnetic fields are detected in the MEG recordings. We describe the solver, the implementation of the solver deployed on the Open Science Grid, the workflow management system, the opportunistic use of high performance computing (HPC) resources to add computing capacity to the Open Science Grid reserved for this project, and our initial findings from the recently completed processing of the resting recordings. This required ≈14 million core hours, i.e. ≈40 core hours per second of data.
机译：从2016年12月开始，对剑桥（英国）衰老和神经科学中心的CamCAN Lifespan Neuroimaging数据集[1,2]进行了采集和处理。为此，使用了部署在Open Science Grid [3,4]上的裁判共识求解器。任务。该数据集包括人口统计和筛查措施，大脑的高分辨率MRI扫描以及闭眼休息（560秒），简单任务（540秒）和被动听/看（ 140秒）。数据收集自619位年龄在18-87之间的神经系统正常个体。其余记录的处理结果已完成，可以从http://stash.osgconnect.net/+krieger/下载。对于37亿个经过验证的神经电事件，每个构成约1.7 TB的数据，包括大脑中的位置（分辨率为1毫米），时间戳（分辨率为1毫秒）和80毫秒的时程，即每个大脑中的事件平均为610万个事件。 619名参与者。裁判共识解算器提供了高的神经电测量值（每个确定的电流p <; 10 -12 ）（平均11,000个神经电流/秒;标准偏差（sd）：3500 /秒）。在MEG记录中检测到磁场的电流。我们描述了求解器，部署在Open Science Grid上的求解器的实现，工作流管理系统，机会利用高性能计算（HPC）资源为该项目保留的Open Science Grid增加计算能力，以及我们最初的工作。最近完成的静止记录处理发现的结果。这需要约1400万个核心小时，即每秒数据约40个核心小时。

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