Context The [Preprocessed Connectomes Project](http://preprocessed-connectomes-project.org/) has provided access to preprocessed MRI data from multiple studies along with quality control information on structural and functional MRI datasets. Content Each .csv contains columns of quality control metrics and other identifiers and each row corresponds to a single unit of MRI observation such as a participant or longitudinal session. This dataset comes from https://github.com/preprocessed-connectomes-project/quality-assessment-protocol Citation If you use this dataset, please acknowledge the Preprocessed Connectomes Project and cite Shehzad, Zarrar, Steven Giavasis, Qingyang Li, Yassine Benhajali, Chaogan Yan, Zhen Yang, Michael Milham, Pierre Bellec, and Cameron Craddock. "The Preprocessed Connectomes Project Quality Assessment Protocol—a resource for measuring the quality of MRI data." Frontiers in neuroscience (2015). Acknowledgements The Preprocessed Connectomes Project is supported by the Nathan S. Kline Institute for Psychiatric Research, the New York State Office of Mental Health, the Research Foundation for Mental Hygiene, and the Child Mind Institute. Data sharing is made possible with the generous support of NITRC and Amazon Web Services. How to use this data Try examining the similarities and differences in MRI quality across multiple centers of data collection. Here is a [notebook](https://www.kaggle.com/mnarayan/explore-between-site-batch-effects-in-fmri/) to get you started