Curated, labeled, and ready-to-use datasets for your next AI research project. Trusted by 1,000+ researchers worldwide.
Physics-based synthetic datasets with deterministic statistical models, ready for ML training and benchmarking. Exclusive to IoTDataset.com.
Synthetic Network Security dataset with 4,000 data points. 16 columns. Config: Attack rate: 21%. CC0 licensed.
Synthetic IIoT network traffic dataset for SCADA/ICS intrusion detection research. 10,000 labeled flow records, 16 features. Protocols: Modbus TCP, OPC UA, DNP3, MQTT, BACnet, EtherNet/IP. Attack rate: 29% covering MitM, Replay, False Data Injection, DoS, and Reconnaissance. Generated by IoTSyn v3.2. CC0 licensed.
Synthetic Smart Home dataset with 1,000 data points. 8 columns. Config: Climate: cold; Setpoint: 20.5C. CC0 licensed.
Synthetic Smart Home dataset with 10,000 data points. 8 columns. Config: Climate: tropical; Setpoint: 22C. CC0 licensed.
Synthetic Smart Home dataset with 10,000 data points. 8 columns. Config: Climate: cold; Setpoint: 22C. CC0 licensed.
Synthetic Network Security dataset with 10,000 data points. 9 columns. Config: Attack rate: 16%. CC0 licensed.
Collected from Kaggle, IEEE, GitHub, and academic repositories. Verified and indexed with full citations.
Comprehensive energy dataset from 255 UK homes covering electricity, gas, room temperature, humidity, and appliance-level data for a 39-home sub-cohort. 23 months of data. CSV format. Published on Edinburgh DataShare (DOI: 10.7488/ds/2836). Described in Nature Scientific Data 2021.
Real IoT smart home energy dataset from a testbed of 5 household appliances each connected to an individual smart meter. 507 KB CSV. Published January 2025 on Zenodo. Used for appliance-level energy monitoring, household energy disaggregation, and smart meter analytics.
Anonymised smart meter electricity consumption data from the CKW Group distribution network in Lucerne Canton, Switzerland. 15-minute resolution, covering 2021–2024. Parquet and CSV formats. Published on Zenodo 2024. Used for large-scale household energy analytics and smart grid research.
Real IoT botnet traffic dataset from 9 commercial devices (webcams, routers, thermostats) authentically infected by Mirai and BASHLITE. Over 7M records, 115 statistical features. CSV format. Benchmark for deep-learning-based IoT anomaly and botnet detection.
Large-scale distributed IoT IDS benchmark with traffic captured at individual device interfaces across 78 heterogeneous smart city IoT devices using the Gotham testbed. PCAP and CSV. Published January 2026 on Zenodo. Designed for federated learning and decentralised IDS research.
First open Zigbee IoT dataset with fully decrypted payloads from 15 real smart home devices over 20 days. CSV and PCAP formats. Published July 2025 on Zenodo. Used for Zigbee traffic analysis, device behavior modeling, and security research.
Showing 12 of 308 datasets
Synthetic Network Security dataset with 4,000 data points. 16 columns. Config: Attack rate: 21%. CC0 licensed.
View DatasetComprehensive energy dataset from 255 UK homes covering electricity, gas, room temperature, humidity, and appliance-level data for a 39-home sub-cohort. 23 months of data. CSV format. Published on Edinburgh DataShare (DOI: 10.7488/ds/2836). Described in Nature Scientific Data 2021.
View DatasetReal IoT smart home energy dataset from a testbed of 5 household appliances each connected to an individual smart meter. 507 KB CSV. Published January 2025 on Zenodo. Used for appliance-level energy monitoring, household energy disaggregation, and smart meter analytics.
View DatasetAnonymised smart meter electricity consumption data from the CKW Group distribution network in Lucerne Canton, Switzerland. 15-minute resolution, covering 2021–2024. Parquet and CSV formats. Published on Zenodo 2024. Used for large-scale household energy analytics and smart grid research.
View DatasetReal IoT botnet traffic dataset from 9 commercial devices (webcams, routers, thermostats) authentically infected by Mirai and BASHLITE. Over 7M records, 115 statistical features. CSV format. Benchmark for deep-learning-based IoT anomaly and botnet detection.
View DatasetLarge-scale distributed IoT IDS benchmark with traffic captured at individual device interfaces across 78 heterogeneous smart city IoT devices using the Gotham testbed. PCAP and CSV. Published January 2026 on Zenodo. Designed for federated learning and decentralised IDS research.
View DatasetFirst open Zigbee IoT dataset with fully decrypted payloads from 15 real smart home devices over 20 days. CSV and PCAP formats. Published July 2025 on Zenodo. Used for Zigbee traffic analysis, device behavior modeling, and security research.
View DatasetIoT environmental sensor dataset tracking water quality and pollution risk indicators for Gaoyou Lake, China. Includes pH, dissolved oxygen, turbidity, temperature, and conductivity readings. CSV format via Kaggle. Used for aquatic pollution risk classification and IoT water monitoring research.
View DatasetSynthetic IIoT network traffic dataset for SCADA/ICS intrusion detection research. 10,000 labeled flow records, 16 features. Protocols: Modbus TCP, OPC UA, DNP3, MQTT, BACnet, EtherNet/IP. Attack rate: 29% covering MitM, Replay, False Data Injection, DoS, and Reconnaissance. Generated by IoTSyn v3.2. CC0 licensed.
View DatasetSynthetic Smart Home dataset with 1,000 data points. 8 columns. Config: Climate: cold; Setpoint: 20.5C. CC0 licensed.
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, NO₂, SO₂, ozone, sound, and pedestrian/vehicle traffic. CSV via Chicago Open Data Portal. Used for smart city analytics and urban environment research.
View Dataset