Dataset Viewer
Auto-converted to Parquet Duplicate
event_id
int64
sensor_id
int64
event_type
string
start_time
string
end_time
string
description
string
1
3
sensor_drift
2024-04-01 00:00:00
2024-04-30 00:00:00
Sensor 3 drifted upward throughout month 4 after missed calibration
2
1
failure_spike
2024-05-21 03:00:00
2024-05-23 18:00:00
Sensor 1 vibration spiked during spindle bearing failure

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

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

Downloads last month
6