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
Parts of this framework evolved during scientific work and collaborations at the Leibniz Institute for Plasma Science and Technology (INP).
Flathub app not yet approved by Mods.
Prepared for:
IDs use the M.E.S.S. namespace engineering.mess.*
(first app: engineering.mess.BLITZ).
GitHub repos may stay under the PiMaV nickname