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.
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.
First open Zigbee IoT dataset with fully decrypted payloads, captured from a real smart home with 15 Zigbee devices over 20 days. Distributed as a single archive (dataset.tar.gz, 663.4 MB) of pcap captures with the network key included. Published October 2024 on Zenodo under CC BY 4.0.
Real smart-home IoT dataset from non-invasive PIR motion, magnetic door/window, and temperature sensors installed in multiple households. CSV format (6.4 MB). Used for occupancy detection, activity recognition, and smart home automation research.
Large-scale IoT cybersecurity dataset with 47M+ labeled network flows from 105 real IoT devices across 33 attack types in 7 categories. PCAP and CSV formats. Built for IDS/IPS development and ML-based IoT traffic classification research.
Residential smart-home power dataset with 2,075,259 one-minute measurements from a French household over 47 months. TXT/CSV-style tabular format. Used for load forecasting, NILM, and energy behavior analysis.
Smart-home energy dataset with detailed electrical, environmental, and operational streams from 3 real homes plus minute-level electricity data from 400+ homes. Open portal export format. Used for sustainable home and demand analysis.
Long-duration smart-home utility dataset with two years of minutely electricity, water, and natural gas measurements plus weather and billing data. CSV/TSV/RData formats. Used for forecasting, NILM, and resource analytics.
Appliance-level and aggregate electricity dataset from 20 UK households sampled every 8 seconds. CSV files, one per home. Built for energy conservation, NILM, demand response, and smart-home automation research.
Open-access domestic electricity dataset from 5 UK homes with whole-house demand at 16 kHz and appliance channels at 6-second intervals. Research-paper dataset release. Used for NILM, load disaggregation, and smart-meter analytics.