DataLad Catalog

Welcome to the user and technical documentation of DataLad Catalog, a DataLad extension that allows you to create a user-friendly data browser from structured metadata.

Acknowledgements

This software was developed with support from the German Federal Ministry of Education and Research (BMBF 01GQ1905), the US National Science Foundation (NSF 1912266), and the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under grant SFB 1451 (431549029, INF project).

Demo

See our demo catalog, hosted via Netlify. This catalog was generated from the studyforrest dataset.

Index

• Overview
• Installation
• Usage
• Pipeline Description
• Metadata and datalad-catalog
• Catalog Schema
• Catalog Configuration
• Resources
• Contributing
• Command Line Reference
• Python Module Reference
• Change Log

Indices and tables

• Index

• Module Index

• Search Page