WETTER is a modular framework for structured processing, exploration, and analysis of large experimental imaging datasets.
Live overview and pipeline: wetter.mess.engineering
Raw Data → DAMPF → KEIM → WOLKE → BLITZ
| Module | Role | Repository |
|---|---|---|
| DAMPF | Data Aggregation & Modular Processing — indexes folders/files, builds WETTER SQLite DB | PiMaV/DAMPF |
| KEIM | Knowledge Extraction & Indexing — statistics, data extraction, enrichment | PiMaV/KEIM |
| WOLKE | Web exploration layer — reads WETTER DB + images, integrates with BLITZ | PiMaV/WOLKE |
| BLITZ | Bulk loading & interactive analysis — fast image inspection, syncs with WOLKE | PiMaV/BLITZ |
Tool names stay uppercase (BLITZ, …). Shared resource folders stay
lowercase locally; GitHub repo names carry the WETTER- prefix so they stay
unambiguous under PiMaV:
| Local folder | GitHub repo (planned) | Role |
|---|---|---|
converters/ |
PiMaV/WETTER-converters |
Format bridges → .npy |
datasets/ |
PiMaV/WETTER-datasets |
Sample / reference datasets |
- DPG Symposium:
docs/BLITZ_WOLKE_DPG25V2_Compact.pdf
Philipp Mattern
M.E.S.S. – Mattern Engineering & Software Solutions
Linux packaging / Flathub app IDs use the M.E.S.S. namespace engineering.mess.*
(first app: engineering.mess.Blitz).
GitHub repos may stay under the PiMaV nickname; do not use CodeSchmiedeHGW.
Parts of this framework evolved during scientific work and collaborations at the Leibniz Institute for Plasma Science and Technology (INP).