Baillet Lab [neuroSPEED] Data Archive¶

Welcome to the Baillet Lab neuroimaging data archive and documentation portal.

Overview¶

The neuroSPEED Data Archive is a neuroimaging high-performance computing (HPC) system for managing BIDS-formatted MEG/MRI datasets using DataLad + git-annex + BIDS Apps + Slurm on the Digital Research Alliance of Canada infrastructure.

System Highlights¶

• Version-controlled datasets with full provenance tracking
• YODA and HCP-style dataset organizations
• RIA datastores for scalable storage and collaboration
• Slurm integration for parallel processing on compute clusters
• Container-based pipelines (FreeSurfer, Brainstorm, etc.)
• Multi-modal analysis capabilities (MEG, MRI, PET)

Quick Access¶

→ Sign In to Documentation

For authenticated users:

• Documentation Guide - Full system documentation
• Getting Started - Quick start tutorial
• Command Reference - Command cheat sheet
• System Architecture - Design principles

Core Technologies¶

• DataLad: Distributed data management system
• git-annex: Large file management
• BIDS: Brain Imaging Data Structure standard
• Slurm: HPC workload manager
• Singularity/Apptainer: Container runtime for HPC

Available Datasets¶

Our system manages multiple neuroimaging datasets:

See Internal Lab Datasets for complete details.

System Architecture¶

graph TB
    A[User Workstation] -->|SSH| B[HPC Login Node]
    B -->|Clone| C[RIA Datastore]
    B -->|Submit| D[Slurm Scheduler]
    D -->|Execute| E[Compute Nodes]
    E -->|Read/Write| F[Scratch Storage]
    E -->|Containers| G[BIDS Apps]
    F -->|Results| H[Derivatives]
    H -->|Push| C

Support & Contact¶

• Issues: Report bugs or request features in the GitHub repository
• Questions: Contact lab administrators or post in the internal discussion forum
• Documentation Updates: Submit pull requests to improve this documentation

Access Requirements¶

See Access & Authentication for detailed setup instructions.

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