BossDB Neuroimaging Datasets Across Multiple Scales and Modalities

Brain Observatory Storage Service & Database (BossDB) is a data ecosystem containing neuro-imaging datasets across multiple modalities and scales. The datasets range from nanoscale electron microscopy to mesoscale structural and functional magnetic resonance imaging. Many datasets include dense segmentation and meshes, and the collection is hosted by the Johns Hopkins University Applied Physics Laboratory under a CC0-1.0 license.

Use Cases

• Train segmentation models based on the dense segmentation and mesh data included in many datasets.
• Develop multi-modal image registration algorithms based on data spanning electron microscopy to magnetic resonance imaging.
• Conduct connectomics research based on nanoscale electron microscopy imagery.
• Analyze functional brain activity based on the included functional magnetic resonance imaging data.
• Validate volumetric imaging pipelines based on cleared lightsheet microscopy and array tomography datasets.

Strengths

• Covers multiple imaging scales, explicitly listed as nanoscale, microscale, and mesoscale.
• Includes multiple modalities such as electron microscopy, lightsheet microscopy, array tomography, and magnetic resonance imaging.
• Many datasets include dense segmentation and meshes, providing additional annotation layers.
• Data is hosted on a public S3 service, facilitating programmatic access.

Limitations

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

Provenance

Source

Johns Hopkins University Applied Physics Laboratory

Collection Method

Data ecosystem aggregating several neuro-imaging datasets.

Time Range

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Freshness

Last update date is unknown; freshness unverified.

Geography

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