FreeSyntheticIoTTelemetry50M

A free dataset of 50 million fully synthetic IoT sensor readings, built for developers and researchers who need realistic device telemetry at scale — for testing IoT platforms, device-monitoring dashboards, edge-computing pipelines, or anomaly detection on sensor streams. No real devices or deployments are represented in this data.

Schema

Column	Type	Description
reading_id	string	Unique reading identifier
device_id	string	Synthetic device identifier
sensor_type	string	temperature, humidity, pressure, motion, voltage, co2, light, vibration
reading_value	float	Sensor reading, range depends on sensor type
unit	string	Measurement unit (C, %, hPa, V, ppm, lux, g, bool)
location_zone	string	Deployment zone (zone-a, warehouse-1, rooftop, etc.)
battery_level	int	Device battery level, 1-100
signal_strength_dbm	int	Signal strength in dBm (negative)
reading_timestamp	string	Reading time (YYYY-MM-DD HH:MM:SS)
status	string	ok, warning, error, or offline

Format

Single Parquet file, Snappy compression, ~1.3 GB, 50,000,000 rows.

Quick Start

pandas

import pandas as pd
df = pd.read_parquet("telemetry_50M.parquet")

datasets

from datasets import load_dataset
ds = load_dataset("ziadatalabs/FreeSyntheticIoTTelemetry50M")

duckdb

import duckdb
duckdb.sql("SELECT * FROM 'telemetry_50M.parquet' LIMIT 10").show()

Notes

Each sensor type produces readings within a physically plausible range — temperatures look like temperatures, voltage like a battery cell, pressure like real atmospheric readings — rather than uniform-random numbers, so the data is usable for anomaly-detection and time-series work. Battery level, signal strength, and status distributions reflect typical device-fleet behavior. All entirely synthetic.

License & Usage

Released under CC BY-NC 4.0 — personal, research, and educational use permitted, attribution required, no commercial use.

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Created by Zia Data Labs. Questions or feedback: zia.data.team@protonmail.com