IoT-AED — Edge Acoustic Event Detection Dataset
6,400 mono audio clips in seven event classes for edge acoustic-event research, with a three-field manifest and documented reproducibility limitations.
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6,400 mono audio clips in seven event classes for edge acoustic-event research, with a three-field manifest and documented reproducibility limitations.
View Dataset366 daily rows with 13 columns from the Narrabri Node-4 workbook, including weather and soil measurements at 20, 40 and 60 cm.
View Dataset15-minute ESP32 environmental and solar-voltage data: 84 training days and 31 validation days in Zapopan, plus a separate Ulm trial; forecasts are one step ahead.
View Dataset5,235 rows and 10 columns of jute environmental measurements and cultivation context from Dhaka; the released table has no observation timestamp.
View Dataset70,718 daily household records with 47 columns: smart-meter energy use for 38 Erbil homes, weather variables and household survey attributes.
View Dataset396,602 rows and 33 columns of smartphone motion signals and labels; the publisher describes 20 participants with and without mobility disabilities.
View Dataset1,143,070 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.
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