SCENE pipelines

Shared DataJoint tables for the labs of SCENE, and the Python helpers that write to them. Every lab registers its labs, subjects, sessions and files in the same tables, keeps its own tables next to them, and links the two by key.

Note

The table definitions are placeholders and may still change.

Where to start

You want to	Read
learn DataJoint itself first	DataJoint tutorials (see New to DataJoint?)
understand what this is and how the pieces fit	Introduction
try it on a local database	Getting started
install it and configure a database	Setup and configuration
write your lab's data to the shared tables	Writing data
add your lab's own tables	Schemas and the registry
understand row stamps, versions and table markers	Provenance and sync
look up a table or helper	API reference

The package

Package	Contents
scene_pipelines.schemas	table definitions: scene (lab, project, subject, session), mouse, provenance
scene_pipelines.ingestion	the helpers that write to the shared tables (register_session, …), in packages that mirror the schemas
scene_pipelines.core	the schema registry, settings, transactions, versioning and table markers

SCENE pipelines was migrated with full history from Base-schemas, where the earlier review discussions live.