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Environmental Conditions Sensor Data
Data Science and Analytics
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About
This dataset contains environmental sensor telemetry data collected from custom-built, breadboard-based sensor arrays connected to Raspberry Pi devices. The data was generated by three identical IoT devices placed in diverse physical environments, capturing variations in conditions. It details readings for temperature, humidity, carbon monoxide (CO), liquid petroleum gas (LPG), smoke, light, and motion, making it ideal for IoT analytics and understanding environmental dynamics. The data was featured in the blog post "Getting Started with IoT Analytics on AWS" published on Towards Data Science.
Columns
The dataset comprises nine columns:
- ts: Timestamp of the event, recorded in epoch format.
- device: A unique identifier (string) for each of the three Raspberry Pi devices. These devices include one in stable, cooler, and more humid conditions; one in highly variable temperature and humidity; and one in stable, warmer, and drier conditions.
- co: Carbon monoxide levels, measured in parts per million (ppm).
- humidity: Humidity percentage.
- light: A boolean indicating whether light was detected.
- lpg: Liquid petroleum gas levels, measured in parts per million (ppm).
- motion: A boolean indicating whether motion was detected.
- smoke: Smoke levels, measured in parts per million (ppm).
- temp: Temperature in Fahrenheit.
Distribution
The dataset is provided as a CSV file (iot_telemetry_data.csv) and contains a total of 405,184 rows of data, with a file size of 61.93 MB. Each row represents a single message published using the ISO standard Message Queuing Telemetry Transport (MQTT) network protocol, combining sensor readings, a unique device ID, and a timestamp.
Usage
This dataset is well-suited for a variety of applications, including:
- IoT analytics and dashboard development for real-time environmental monitoring.
- Developing machine learning models for anomaly detection in sensor readings or predictive maintenance for IoT devices.
- Studying and analysing environmental patterns and their variations across different physical locations.
- Research and development in smart home systems, industrial IoT, and environmental science.
Coverage
The data spans a time range from 07/12/2020 00:00:00 UTC to 07/19/2020 23:59:59 UTC. It captures environmental conditions from three distinct physical locations, each with differing characteristics: one with stable, cooler, and more humid conditions; one with highly variable temperature and humidity; and one with stable, warmer, and drier conditions. No specific geographic locations or demographic scopes are noted.
License
CC0: Public Domain
Who Can Use It
This dataset is valuable for:
- Data Scientists and Machine Learning Engineers developing models for IoT sensor data.
- IoT Developers building or testing telemetry and environmental monitoring systems.
- Researchers and Academics studying environmental factors or IoT data patterns.
- Students learning about data analysis, IoT, and environmental sensing.
Dataset Name Suggestions
- IoT Environmental Telemetry Data
- Raspberry Pi Sensor Log
- Multi-Sensor Environmental Readings
- IoT Device Telemetry Log
- Environmental Conditions Sensor Data
Attributes
Original Data Source: Environmental Conditions Sensor Data
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