Showing 12 of 61 datasets
Free CC0 synthetic dataset: 1,000 rows of UTCI thermal comfort, PM2.5 and NO2 air quality, occupancy and LAeq noise. 1K Rows #0dcf.
View DatasetFree 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 DatasetiPhone 6s accelerometer and gyroscope dataset from 24 subjects performing 6 activities (walking, jogging, stairs up/down, sitting, standing) at 50 Hz. CSV. Kaggle and GitHub. Used for human activity recognition (HAR) and mobile sensor privacy research. Imperial College London, 2018.
View DatasetLarge-scale PPG-based heart rate dataset from 15 subjects wearing wrist (Empatica E4: PPG + 3-axis ACC) and chest (RespiBAN: ECG + respiration + 3-axis ACC) devices during 8 real-life activities. ECG provides HR ground truth. UCI ML Repository. Published in MDPI Sensors 2019 — DOI: 10.3390/s19143079.
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 DatasetFree CC0 synthetic dataset: 1,000 rows of indoor temperature, humidity, CO2, light and occupancy readings. Cold Climate, 20.5°C.
View DatasetReal-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.
View DatasetMultimodal 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.
View DatasetWearable 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.
View DatasetLarge-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.
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