Open NeuroData: Multi-Scale Neuroimaging Volumes with Segmentations

NeuroData provides multiple neuroimaging datasets stored as Neuroglancer Precomputed Volumes. The collection spans multiple modalities and scales, from nanoscale electron microscopy to mesoscale structural and functional MRI. Many datasets include segmentations and meshes.

Use Cases

• Train segmentation models for brain structures based on the included segmentation data.
• Develop multi-modal image registration algorithms based on the variety of imaging modalities.
• Analyze brain connectivity and structure across scales from the nanoscale to mesoscale data.
• Validate computational microscopy techniques using the electron microscopy and lightsheet microscopy volumes.

Strengths

• Data spans multiple imaging modalities including electron microscopy, lightsheet microscopy, array tomography, and MRI.
• Includes segmentations and meshes for many datasets, which can serve as ground truth for ML tasks.
• Available under the ODC-By v1.0 license, facilitating open use and redistribution.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and dataset size are unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

NeuroData

Collection Method

Aggregated from multiple neuroimaging studies and stored as Neuroglancer Precomputed Volumes.

Time Range

null

Freshness

Last updated: unknown

Geography

null