One of Kaggle's largest IIoT manufacturing datasets with 1.18 million parts measured across Bosch's assembly lines. Thousands of anonymized sensor features split across numeric, categorical, and date files. CSV format. Used for quality control and failure prediction.
Real-world IIoT multivariate time series dataset tracking physicochemical degradation of metalworking fluid over several months. Includes imputed benchmark variants for 5 methods. CSV format. Designed for predictive maintenance and anomaly detection research in manufacturing.
Multimodal physiological dataset from 15 subjects wearing chest and wrist sensors. Includes ECG, EDA, EMG, respiration, temperature, and accelerometry. CSV/pickle format. Used for stress detection and affective computing research.
Wearable IoT dataset with 18 physical activities from 9 subjects wearing 3 IMUs and a heart rate monitor. 54 columns including temperature, acceleration, and gyroscope data. CSV format. Used for HAR, activity classification, and intensity estimation.
Real-world wearable dataset from 15 nurses over one week in a hospital. Contains 11.5 million entries of EDA, heart rate, skin temperature, and orientation data collected via Empatica E4. CSV format. Used for occupational stress detection research.
Large-scale quality-assessed ICU PPG benchmark derived from MIMIC-III, with ECG, ABP, and respiration signals in 30-second WFDB segments. Multi-task format supporting cardiovascular and respiratory signal analysis for wearable algorithm development.
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.