Bangladesh IoT Environmental Dataset (BIED)

The Bangladesh IoT Environmental Dataset (BIED) is a curated collection of realistic IoT sensor readings representing diverse environmental conditions across Bangladesh’s urban, rural, coastal, agricultural, and industrial regions.
It simulates continuous monitoring of critical environmental parameters such as temperature, humidity, air quality, CO₂ levels, soil moisture, and rainfall, following realistic diurnal, seasonal, and regional variations.
BIED aims to support AI, IoT, and environmental research by providing Bangladesh-contextualized sensor data suitable for analysis, prediction, and system validation.

Features:
1. Environmental Variables: Temperature (°C), Humidity (%), Air Quality Index (AQI), CO₂ (ppm), Soil Moisture (%), Rainfall (mm), Light Intensity (lux).
2. Temporal Resolution: Hourly readings over several simulated days.
3. Regional Coverage: Urban (Dhaka), Rural (Rajshahi), Coastal (Khulna), Industrial (Narayanganj), Agricultural (Bogura).
4. Sensor Behavior Modeling: Includes realistic drift, noise, and fluctuation patterns mimicking real-world sensor data.

Potential Applications:
1. Smart Agriculture: Predict soil moisture and rainfall patterns for irrigation planning.
2. Smart City Systems: Model urban air quality and temperature control.
3. Climate Research: Analyze coastal zone trends and early warning modeling.
4. Anomaly Detection: Detect faulty sensor behaviors in IoT systems.
5. AI & TinyML Training: Build and deploy embedded ML models for environmental monitoring.
6. IoT Platform Testing: Validate IoT dashboards, edge computing systems, and cloud integration pipelines.
7. Data Structure: CSV format with timestamps, location tags, and sensor values.
8. Data Size: ~10,000+ records (customizable for research needs).