IoT-Based Environmental Health Monitoring Dataset
Abstract
"Specialized IoT dataset measuring environmental factors impact on student mental health. Combines air quality, noise levels, temperature, humidity with wellness surveys from university campus."
Description
Dataset Concept
Unique dataset linking physical environmental measurements to human wellbeing outcomes. Collected from university campus using distributed IoT sensors monitoring living and learning spaces.
Environmental Measurements
- Air Quality: CO2 (ppm), PM2.5 (µg/m³), VOC levels (ppb)
- Acoustic Environment: Noise levels (dB), frequency analysis
- Thermal Comfort: Temperature (°C), humidity (%), heat index
- Light Exposure: Illumination (lux), UV index
Wellbeing Indicators
- Student stress levels (survey)
- Sleep quality (wearable data)
- Mental health scores
- Academic performance (anonymized)
- Activity levels (motion sensors)
Data Records
- Duration: 1 academic year
- Locations: Dormitories, classrooms, libraries, common spaces
- Participants: 500+ students
- Temporal Resolution: Hourly environmental data, daily surveys
Applications
Campus wellness optimization, environmental health correlations, building design recommendations, student mental health support systems, and university infrastructure planning.
Data Preview
| Timestamp | Location | CO2_ppm | PM2.5_µg_m3 | Noise_dB | Temperature_C | Stress_Score |
|---|---|---|---|---|---|---|
| 2024-01-15 08:00 | Dorm_A | 650 | 22.5 | 45.2 | 21.3 | 5.2 |
| 2024-01-15 09:00 | Library | 580 | 18.3 | 38.1 | 22.1 | 6.8 |
| 2024-01-15 10:00 | Dorm_A | 720 | 25.8 | 58.5 | 20.9 | 7.1 |
Showing first few rows for preview
Cite This Dataset
Kaggle (2026). IoT-Based Environmental Health Monitoring Dataset. [Dataset]. Kaggle. https://www.kaggle.com/datasets/ziya07/iot-based-environmental-dataset
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Original source: Kaggle (2026). Visit official page for more details.
Indexed by IoTDataset.com on Jan 13, 2026
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