BIED: Simulated IoT Environmental Sensor Readings Across Bangladesh

The Bangladesh IoT Environmental Dataset (BIED) is a curated collection of simulated IoT sensor readings representing environmental conditions across five regions of Bangladesh. It contains over 10,000 records of hourly readings for parameters like temperature, humidity, air quality, CO₂, soil moisture, rainfall, and light intensity. The dataset was created by Md. Mehedi Hasan and was last updated in May 2026.

Use Cases

• Predict soil moisture and rainfall patterns for irrigation planning based on simulated sensor data.
• Model urban air quality and temperature control for smart city systems based on AQI and temperature readings.
• Detect faulty sensor behaviors in IoT systems based on modeled drift, noise, and fluctuation patterns.
• Build and deploy embedded ML models for environmental monitoring based on the time-series sensor data.

Strengths

• Covers five distinct Bangladeshi regions: urban (Dhaka), rural (Rajshahi), coastal (Khulna), industrial (Narayanganj), and agricultural (Bogura).
• Includes realistic sensor behavior modeling with drift, noise, and fluctuation patterns.
• Contains over 10,000 records of hourly data for seven environmental variables.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data is simulated, not collected from real-world sensors.

Provenance

Source

Md. Mehedi Hasan via figshare

Collection Method

Simulated data with realistic diurnal, seasonal, and regional variations.

Freshness

Last updated 2026-05-15 05:46:03

Geography

Bangladesh, specifically Dhaka, Rajshahi, Khulna, Narayanganj, and Bogura.