2026-10-07T10:19:04Z https://api.figshare.com/v2/oai

oai:figshare.com:article/34039047 2026-10-01T05:54:26Z category_29122 category_29065 category_28891 category_28984 category_24952 item_type_3 month_year_10_2026

<b>OPAL</b>: A multimodal ambient sensor dataset for activity, occupancy, and energy analysis in an office workspace Jeein Kim (23972316) Haewon Lee (25152370) Jooyoung Lee (25152372) Janghyun Roh (25152375) Euiseok Hwang (25152381) Human information behaviour Pervasive computing Pattern recognition Energy-efficient computing Building science, technologies and systems Human activity recognition (HAR) Ambient sensing Appliance-level energy Non-intrusive load monitoring (NILM) Multimodal sensor fusion Smart office Internet of Things Smart plugs Occupancy estimation IoT datasets Sensor datasets time series datasets <p dir="ltr">OPAL (Office Presence, Activity and Load) is a multimodal ambient sensor time-series dataset collected over 33 continuous days in a shared university laboratory workspace at the Gwangju Institute of Science and Technology. Two connected rooms were instrumented: Room 207, the main workspace, and Room 205, a meeting and common area.</p><p dir="ltr">The release combines appliance-level electrical measurements from 21 smart plugs, motion and door-contact events, ambient temperature, camera-generated event states, participant-level activity annotations for three primary participants across 11 workplace activity classes, and room-level occupancy counts that also include non-target laboratory members.</p><p dir="ltr">The release covers 2026-05-14 14:00 to 2026-06-16 15:00 (KST) and comprises 1,360 daily CSV files holding 33,803,409 records, 1.96 GB in total, across 34 date directories. It ships with a data dictionary, a labelling guideline, quality-control documentation, machine-readable metadata in schema.org, DCAT-AP 2.1 and MLCommons Croissant form, and SHA-256 checksums for every file.</p><p dir="ltr">Raw video, raw audio, speech content, conversation transcripts, identifiable facial images and participant identity mapping files are not part of the release. Cameras were used for annotation verification only; the only sound-related signal published is the binary sound-event state reported by the Room 205 camera firmware.</p><p dir="ltr">The dataset supports human activity recognition, occupancy estimation, multimodal sensor fusion, appliance-level energy analysis and privacy-preserving ambient sensing in shared workplaces.</p> 2026-10-01T00:00:00Z Dataset Dataset 10.6084/m9.figshare.34039047.v1 https://figshare.com/articles/dataset/_b_OPAL_b_A_multimodal_ambient_sensor_dataset_for_activity_occupancy_and_energy_analysis_in_an_office_workspace/34039047 CC BY 4.0