Tutorials

Six notebooks, one story: understand the record model, describe a cell, record what happened in the lab, look under the semantic hood, go research-deep, and publish a real dataset end to end. Work through them in order the first time — each builds on the one before.

Tutorials are for learning: they take you somewhere, explaining as they go. When you already know the basics and just need to get a job done, use the how-to guides instead — short, task-shaped recipes.

Already have cycler data on disk? Start with Tutorial 6 — Publish your first dataset — raw export to citable dataset in five stages — then come back for the depth.

• Guide 1 — Concepts
• Guide 2 — Describing a cell
• Guide 3 — Linked records: cells, tests, and datasets
• Guide 4 — The semantic layer
• Guide 5 — Cell descriptors
• Guide 6 — Publish your first dataset

Tutorial	What you learn	Time
1 — Concepts	The record model, IRIs, the semantic layer, validation layers	10 min
2 — Describing a cell	Author and publish a cell spec; a taste of material-level depth	15 min
3 — Linked records	Cells, test specs, tests, and datasets with the workspace	20 min
4 — The semantic layer	The JSON-LD BattINFO emits, EMMO typing, RDF tooling	20 min
5 — Cell descriptors	Research-grade composition: materials, BOMs, electrodes, electrolyte	40 min
6 — Publish your first dataset	Raw cycler export → validated records → DOI, in five stages	15 min