The human connectome project collected resting-state data from over 1000 healthy young-adult subjects. Looking beyond its original purpose, this database represents a valuable resource for benchmarking denoising pipelines. Unfortunately, quality control data for selecting scans with opposite noise characteristics, such as scans with extremely low or high head motion, are not publicly available. Here, we explored the entire resting-state human connectome project to provide researchers with a database of quality control metrics. Using the database, we constructed two instances of samples with suitable features for benchmarking purposes.
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