The Brain Atlas Ships With Its Doubts Attached

Generated labels can make a research collection large without making every case equally trustworthy. OpenBrain organizes 35,838 provenance-verified T1-weighted MRI cases from 607 OpenNeuro datasets as auditable case records. Each record links a primary parcellation, two committee parcellations, source and license provenance, seven reference-free quality measurements, percentile risks, a combined risk score and a confidence tier. That structure lets downstream users filter, weight or re-threshold cases without rerunning the labeling system. Under the paper's frozen evaluation protocol, lower quality-risk scores tracked higher generated-label quality on external cohorts. In fixed-budget training, choosing lower-risk cases improved paired macro Dice by 3.2 to 3.7 percentage points over random selection. The authors explicitly stop short of calling the output manual annotation or clinical-grade segmentation. The release is a generated-label substrate with inspectable uncertainty evidence, not a diagnostic product.