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Yet, these procedures still generate output that needs subjective interpretations about whether or not the high quality of a given dataset fulfills a reasonable standard for additional evaluation. Right here we provide a quality control protocol utilizing pyfMRIqc and assess the inter-rater reliability of four independent raters by using this protocol for information from the fMRI Open QC task (https//osf.io/qaesm/). Information were classified by rater