--- configs: - config_name: sample_manifest data_files: - split: sample path: sample/sample_manifest.csv default: true --- # OpenBrain v1.0 OpenBrain v1.0 is a public-ready release of brain-extracted T1-weighted MRI images, SynthStrip-derived brain masks, and automated whole-brain segmentation labels. ## Release Contents - Cases: 35,838 - Source OpenNeuro datasets: 607 - License: CC0 - Artifacts per case: - `image.nii.gz`: revised brain-extracted T1w image - `brain_mask.nii.gz`: SynthStrip-derived brain mask - `whole_brain_segmentation.nii.gz`: automated whole-brain segmentation label All released cases are derived from raw T1w images that were exactly matched to verified public OpenNeuro snapshots with CC0/public-domain-compatible license metadata. The segmentation labels are algorithmic labels, not manual ground truth. ## Layout ```text cases//image.nii.gz cases//brain_mask.nii.gz cases//whole_brain_segmentation.nii.gz metadata/openbrain_v1_0_metadata.csv metadata/sha256_manifest.csv sample/cases//... sample/sample_manifest.csv sample/README.md ``` ## QC Manifest Fields The QC manifest uses `Q1`--`Q7` for the raw OpenBrain QC-7 values and `r1`--`r7` for the corresponding source-local percentile risk fields. Larger `r_k` values indicate higher risk relative to cases from the same OpenNeuro source dataset; they are not calibrated probabilities of segmentation correctness. `R` is the aggregate QC-7 risk score, and `tier` is the confidence tier derived from the fixed release operating points. The public sample manifest under `sample/sample_manifest.csv` follows the same QC field convention for the 64-case reviewer sample subset. ## Reviewer Sample The `sample/` directory is a 64-case reviewer preview subset. Every sample case is drawn from the HighConf tier and includes the same three case artifacts as the full release: `image.nii.gz`, `brain_mask.nii.gz`, and `whole_brain_segmentation.nii.gz`. The sample is source-diverse (one case per source dataset) and selected by low combined risk `R`, with Q1/Q3/Q4 visual-cleanliness tie-breaks. Use it for visual inspection, download testing, and pipeline smoke tests. The labels remain algorithmic pseudo-labels, not manual ground truth. ## Exclusions This release excludes cases with non-CC0 licenses, missing OpenNeuro provenance, manual-review license status, ambiguous raw BIDS matches, or missing raw T1w matches. OpenMind-derived quality scores and masks are not included.