---
license: cc-by-4.0
pretty_name: OTWatch laboratory industrial OT telemetry
task_categories:
  - tabular-classification
  - time-series-forecasting
tags:
  - cybersecurity
  - ot-security
  - industrial-anomaly-detection
  - time-series
  - anomaly-detection
  - synthetic
language:
  - en
  - fa
size_categories:
  - 10K<n<100K
---

# OTWatch laboratory industrial OT telemetry

Synthetic five-day cold-storage process and Modbus-like fixture pack for the AriaOTWatch review demo.

Organization dataset and collection item are public. Live Gradio (`alirezaaminzadeh/aria-ot-watch`) and the organization card (`AriaAICompany/aria-ot-watch`) follow the same hosting split as the rest of the cybersecurity collection. Runnable Space source is stored in `demo/`. Collection: [Aria AI — Cybersecurity](https://huggingface.co/collections/AriaAICompany/aria-ai-cybersecurity-6ab01faa3995a3bb737b58a7).

Hosts are aliases. There is no live PLC and no plant process data. Function codes are normalized laboratory names. Process anomaly is not a cyber attribution.

## Files

- data/events.csv
- data/events_preview.csv
- data/gold_events.json
- data/modbus_sample.jsonl
- data/schema.json
- data/splits.json
- data/protocol.md
- data/feature_card.md
- data/evaluation.json
- data/sample_preview.json
- demo/ — runnable Gradio Space source
- showcase/ — organization static card

## Split

Development is 2026-05-01 through 2026-05-03. Test is 2026-05-04 through 2026-05-05. Both `plant-north` and `plant-south` appear in each split. Rows that belong to one authored event stay in one split. Train and test security events use different plants and unknown sources.

## Gold policy

`needs_review_*` windows are authored ranges for an unauthorized write and unusual function codes. `process_fault` and `maintenance` are healthy-context industrial cases. `unknown_cause` is an overlap that must stay unlabeled as attack. A high process residual alone is not a security-review label.

## License

CC-BY-4.0. Keep the synthetic-data and simulation labels.