How-to guides

WarningContent review status

This page contains unreviewed content created with large language model (LLM) tools.

These guides provide focused procedures for configuring ingestion, storage, training input, workspaces, and provenance. They assume that a dataset has already been created by following the tutorial.

1 Create a dataset

• Configure array chunking and compression
• Ingest a source that is not organized as BIDS
• Control stored numerical precision
• Import tabular data

2 Model input

• Use BITS data in a MONAI pipeline

3 Workspaces and provenance

• Commit a workspace
• Inspect and purge discarded workspaces
• Export provenance