---
license: cc-by-nc-4.0
task_categories:
- time-series-forecasting
- tabular-classification
language:
- en
tags:
- synthetic-data
- iot
- sensor
- telemetry
- time-series
size_categories:
- 10M<n<100M
---

# 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**
```python
import pandas as pd
df = pd.read_parquet("telemetry_50M.parquet")
```

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

**duckdb**
```python
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.

---

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