WHAMAP — Multi-IMU Activity and Fatigue Dataset
1,143,070 rows across 80 activity traces from 10 participants; each trace has 78 fields from five IMUs, a smartphone and activity/fatigue metadata.
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1,143,070 rows across 80 activity traces from 10 participants; each trace has 78 fields from five IMUs, a smartphone and activity/fatigue metadata.
View DatasetWristwatch-derived measurements for researching aggressive tendencies: 40 participants, eight days each within a three-month collection period, with processed and augmented tables.
View Dataset10,129 observations with 19 columns, including four sound channels and an occupancy target, from a seven-node indoor sensing installation.
View DatasetContinuous smart-home sensor events and activity-recognition representations; UCI reports 13,956,534 instances, with raw and engineered-feature files.
View DatasetA single older adult’s home: 416,153 gas/environmental rows plus 28,478 sparse room-motion events, in separate tables with different schemas.
View DatasetFive participants, eight physical-therapy exercises and three execution styles; 275,603 synchronized time points across five wearable sensor units.
View Dataset6,461,328 annotated samples from 22 free-living participants wearing two accelerometers; CSVs contain eight core fields, with extra index columns in three files.
View Dataset928,991 measured rows with 12 columns across 99 recording IDs; the accompanying metadata lists 100 background, wine and banana sessions.
View DatasetSmart home traffic captured under normal operation and seven multi-stage attack scenarios across heterogeneous end devices. CC BY 4.0, published 2026.
View DatasetAbout 4.6 million labelled bi-flows with 80 CICFlowMeter features, covering 15 attack families plus benign traffic in 16 single-class files. CC BY 4.0.
View DatasetFree CC0 synthetic dataset: 400 rows of indoor temperature, humidity, CO2, light and occupancy readings. 22°C. Reproducible from its seed.
View DatasetFree CC0 synthetic dataset: 1,000 rows of UTCI thermal comfort, PM2.5 and NO2 air quality, occupancy and LAeq noise. Noisy Event.
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