| --- |
| license: cc-by-nc-4.0 |
| task_categories: |
| - tabular-classification |
| - tabular-regression |
| language: |
| - en |
| tags: |
| - smart-factory |
| - sensor-data |
| - industry-4-0 |
| - industrial-iot |
| - predictive-maintenance |
| - telemetry |
| - synthetic-data |
| - mindweave |
| - time-series |
| - iot |
| - test-data |
| - edge-analytics |
| - anomaly-detection |
| - manufacturing |
| - machine-monitoring |
| pretty_name: IoT Sensor Telemetry (Synthetic) (Free Sample) |
| size_categories: |
| - 1K<n<10K |
| configs: |
| - config_name: anomaly_events |
| data_files: data/anomaly_events.csv |
| default: true |
| - config_name: sensors |
| data_files: data/sensors.csv |
| - config_name: telemetry_readings |
| data_files: data/telemetry_readings.csv |
| --- |
| |
| # IoT Sensor Telemetry (Synthetic) (Free Sample) |
|
|
| > **This is a free sample** with 5,003 rows. The full dataset has **50,006 rows** across 3 tables. |
|
|
| High-frequency telemetry from a simulated smart factory operating three |
| CNC lines, a finishing cell, and a predictive-maintenance program over |
| six months. Covers temperature, humidity, pressure, and vibration sensors |
| sampled on a rolling 5-minute schedule with realistic shift patterns, |
| machine assignments, maintenance alerts, and operational state changes. |
|
|
| Includes two injected anomalies: a progressive calibration drift on sensor |
| 3 during month 4 and a sudden spike pattern on sensor 1 that signals an |
| equipment failure event. Useful for time-series analytics, anomaly |
| detection, edge telemetry pipelines, and Industry 4.0 monitoring demos. |
|
|
|
|
| ## Sample tables |
|
|
| | Table | Sample Rows | |
| |-------|------------| |
| | anomaly_events | 2 | |
| | sensors | 1 | |
| | telemetry_readings | 5,000 | |
| | **Total** | **5,003** | |
|
|
| ## Full dataset |
|
|
| The complete dataset includes all tables with full row counts: |
|
|
| | Table | Full Rows | |
| |-------|----------| |
| | anomaly_events | 2 | |
| | sensors | 4 | |
| | telemetry_readings | 50,000 | |
| | **Total** | **50,006** | |
|
|
| **Formats included:** CSV, Parquet, SQLite |
|
|
| **[Get the full dataset on Gumroad](https://mindweavetech.gumroad.com)** |
|
|
| ## About |
|
|
| Generated by [Mindweave Technologies](https://mindweave.tech) -- realistic synthetic datasets for developers, QA teams, and data engineers. |
|
|
| Every dataset features: |
| - Enforced foreign key relationships across all tables |
| - Realistic statistical distributions (not uniform random) |
| - Temporal patterns (seasonal, time-of-day, day-of-week) |
| - Injected anomalies for ML training and anomaly detection |
| - Deterministic generation (same seed = same output) |
|
|
| Browse all datasets: [https://mindweavetech.gumroad.com](https://mindweavetech.gumroad.com) |
|
|
