Welcome to ADAMACS documentation

ADAMACS (Architectures for Data Management and Computational Support) is our framework for managing and analyzing complex multimodal datasets. Built around DataJoint-based pipeline management, it supports structured data storage, metadata integration, computational workflows, and reproducible processing across experiments.

This site is the operational and analysis manual for ADAMACS. Use the section hubs below for fast navigation. ADAMACS is informed by the Moser lab pipeline and datajoint-elements but all pages here use ADAMACS-specific terminology and workflows.

www.troselab.de

Common

• Common Overview
  • Start here
  • Setup and access
  • Philosophy and operations

Ingest

• Ingest Overview
  • Start here
  • Primary entrypoint
  • Golden rules
  • Typical flow
  • Path settings used by ingest
  • Related pages

Analysis

• Analysis Overview
  • Start here
  • Analysis philosophy
  • What lives in analysis repository
  • Typical analysis flow
  • Recommended first notebook sequence
  • Analysis and worker interaction
  • Reproducibility expectations
  • Related pages

Infrastructure

• Infrastructure Overview
  • Core operations
  • Templates

Developer Documentation

• Developer Overview
  • Repository Split Model
  • Deploy To Private Organization Repository
  • Contributing
  • Documentation Maintenance

Quick paths

• New users: Common -> Getting Started

• External component docs: Common -> External References

• Ingest users: Ingest -> GUI Workflow

• Analysis users: Analysis -> Overview

• Operators/admins: Infrastructure -> Overview

Current infra snapshot (as documented)

• MAIN_SERVER: <MAIN_SERVER_IP> (main DB/blob/share/CPU workers)

• GPU_SERVER: <GPU_SERVER_IP> (GPU worker host, permanent IP)

• BACKUP_SERVER: <BACKUP_SERVER_IP> (backup host)

Note:

• internal endpoint values are intentionally redacted in public documentation.

If this changes, update infrastructure pages first.