IoT-Based Environmental Dataset

Ziya

Kaggle

IoT Environmental Monitoring - Student Mental Health Dataset

Healthcare & Medical IoT Healthcare / IoMT

Jan 21, 2026

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1 min read

License

Catalog metadata: This page is a discovery record, not publisher documentation. Verify the description, schema, provenance, version, licence, and citation at the linked source before use.

Catalog Summary

"IoT-based environmental perception data studying impact on university students' mental health. Integrates temperature, humidity, noise, and air quality sensors."

Catalog Notes

Research Focus

This innovative dataset explores the relationship between environmental factors measured by IoT sensors and mental health outcomes in university students.

Sensor Data Collected

Temperature sensors - Indoor/outdoor readings
Humidity monitors - Relative humidity %
Noise level detectors - dB measurements
Air quality sensors - PM2.5, CO2, VOCs
Light intensity - Lux readings

Mental Health Correlations

Data includes survey responses on stress levels, sleep quality, concentration ability, and overall well-being, correlated with environmental sensor readings.

Research Applications

Supports studies in environmental psychology, smart campus initiatives, IoT healthcare (IoMT), and data-driven mental health interventions.

View Data Structure

To explore column names, data types, and sample rows, visit the official dataset page on Kaggle.

Preview on Kaggle

Cite This Dataset

Ziya (2025). IoT-Based Environmental Dataset. [Dataset]. Kaggle. https://www.kaggle.com/datasets/ziya07/iot-based-environmental-dataset

Source metadata: Kaggle (2025)

Indexed by IoTDataset.com on Jan 21, 2026

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