Showing 12 of 47 datasets
Free CC0 synthetic dataset: 300 rows of UTCI thermal comfort, PM2.5 and NO2 air quality, occupancy and LAeq noise.
View DatasetFree CC0 synthetic dataset: 1,000 rows of UTCI thermal comfort, PM2.5 and NO2 air quality, occupancy and LAeq noise. 1K Rows #b252.
View DatasetFree CC0 synthetic dataset: 700 rows of UTCI thermal comfort, PM2.5 and NO2 air quality, occupancy and LAeq noise.
View DatasetLongest freely available on-field IoT air quality sensor deployment: 9,358 hourly records from 5 metal oxide gas sensors in an Italian city. CSV/XLSX format. Used for gas sensor regression, drift correction, and pollution forecasting research.
View DatasetOpen urban sensing dataset from 130 IoT nodes across Chicago measuring temperature, humidity, pressure, light, CO, NOâ‚‚, SOâ‚‚, ozone, sound, and pedestrian/vehicle traffic. CSV via Chicago Open Data Portal. Used for smart city analytics and urban environment research.
View DatasetIntegrated multi-modal data from smart urban sensor network including vehicle traffic, power consumption, and environmental monitoring.
View DatasetA longitudinal visual dataset of urban streetlight scenes captured daily over several years including 2025, accompanied by structured metadata for smart city monitoring, drift detection, and anomaly analysis. Includes over 526,000 images with timestamps and GPS metadata, enabling vision-based model training in urban environments.
View DatasetAIR4LIFE is a high-resolution air quality monitoring dataset published in late 2025, featuring measurements from a dual-node IoT setup. It tracks pollutants and ambient conditions to evaluate the trade-offs between energy-aware duty cycling and data completeness in environmental sensing networks.
View DatasetUrbanAirNet provides a comprehensive collection of urban air quality and weather parameters measured via IoT sensor networks. It includes pollutants like PM2.5, NO2, and O3 alongside meteorological variables.
View DatasetMultimodal smart city dataset combining IoT sensor data (environmental, traffic, infrastructure) with ground-truth anomaly labels for urban safety applications, anomaly detection, and multi-source data fusion research in smart cities.
View DatasetReal-world parking occupancy and capacity data from NCP-operated car parks in Birmingham, UK, collected every 30 minutes from October to December 2016 for time-series occupancy prediction.
View DatasetCity-scale environmental IoT dataset with more than 24 million temperature measurements from SmartSantander sensors deployed across Santander, Spain, including spatial, temporal, and device metadata.[web:113][web:115][web:118]
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