This is a small jupyter-book developed to introduce and document the
available open resources and datasets that might be useful as part of
participation in the Canadian Neuroanalytics Scholars Program.
This is a growing resource and can be shared and added to by anyone. The goal is to provide a useful starting point to research projects that can capitalize on existing open data resources.
The structure of this documentation is still in its early stages - if there is systematic structure or information you want to see, please make a PR.
Check out the initial content pages bundled with this sample book to see more.
- Neuroanalytics Datasets - CNS Scholars Guide
- Meet the Scholars
- Datasets
- Research Topics
- Research Methods
- Research Tools
- Containers: Docker and Apptainer
- Git Introduction
- Git and Github Example Usage
- Coding Environments
- Advanced Computing Topics
- Digital Resource Alliance of Canada (DRAC) = Formerly Compute Canada
- Using JupyterHub on DRAC
- Submitting work to an HPC Cluster
- The Brain Imaging Data Structure (BIDS)
- Nipoppy
- MRIQC
- fMRIPrep
- QSIPrep
- Brainstorm
- Gigaconnectome
- BRIAN Brain Simulation Tool
- Graph Neural Networks with PyG
- BrainLM - Foundation Model of Neural Data
- Zettelkaten - Making a second brain
- Research Tool Discussions
- Data Portals
- Data Modalities
- Large Language Models
- External Resources
- Contributing Formatting and Files
- Appendix