mindweave/iot-sensor-telemetry

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

Full dataset

The complete dataset includes all tables with full row counts:

Formats included: CSV, Parquet, SQLite

[Get the full dataset on Gumroad](https://mindweavetech.gumroad.com)

About

Generated by Mindweave Technologies -- 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