Synthetic Smart City IoT Dataset — 300 Rows
Free CC0 synthetic dataset: 300 rows of UTCI thermal comfort, PM2.5 and NO2 air quality, occupancy and LAeq noise.
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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 DatasetReproducible large-scale IoT network dataset from 78 emulated devices using MQTT, CoAP, and RTSP protocols. Includes benign and malicious traffic with DoS, brute force, scanning, and C&C attacks in PCAP and CSV formats.
View DatasetIntegrated multi-modal data from smart urban sensor network including vehicle traffic, power consumption, and environmental monitoring.
View DatasetpNEUMA is a large-scale dataset of naturalistic vehicle trajectories from half a million vehicles in Athens, Greece, collected via a swarm of drones for traffic congestion research.
View DatasetAirIoT is an open-access dataset for IoT-based air pollution monitoring, featuring real-time sensor readings for PM2.5, PM10, temperature, and humidity from urban deployments.
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 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 DatasetThe Gotham Dataset is a large-scale, reproducible benchmark for evaluating decentralized Intrusion Detection Systems (IDS) and Federated Learning in virtualized smart cities. It captures interface-level network traffic from 78 heterogeneous IoT devices, including complex attack vectors like Mirai botnets, Merlin C2 traffic, and CoAP amplification, preserving the non-IID nature of edge data for realistic AI security training.
View DatasetA synthetic but carefully constructed IoT dataset for smart home renewable energy management, providing five CSV datasets (20, 50, 100, 200 homes over 365 days) with daily energy consumption and production values to simulate small, medium, and large-scale smart city and smart home scenarios.
View DatasetReal operational electricity system records from ISO New England (ISONE) covering urban smart city energy activity including demand, generation, pricing, and grid operations across multiple metropolitan areas for energy analytics and forecasting.
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