A high-fidelity residential building occupancy detection dataset

Margarite Jacoby; Sin Yong Tan; Gregor Henze; Soumik Sarkar

doi:10.1038/s41597-021-01055-x

Scientific Data (Oct 2021)

A high-fidelity residential building occupancy detection dataset

Margarite Jacoby,
Sin Yong Tan,
Gregor Henze,
Soumik Sarkar

Affiliations

Margarite Jacoby: University of Colorado Boulder, Department of Civil, Environmental and Architectural Engineering
Sin Yong Tan: Iowa State University, Department of Mechanical Engineering
Gregor Henze: University of Colorado Boulder, Department of Civil, Environmental and Architectural Engineering
Soumik Sarkar: Iowa State University, Department of Mechanical Engineering

DOI: https://doi.org/10.1038/s41597-021-01055-x
Journal volume & issue: Vol. 8, no. 1
pp. 1 – 14

Abstract

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Measurement(s) room temperature ambient air • room air relative humidity • Carbon Dioxide • total volatile organic compounds • room illuminance • Audio Media • Digital Photography • Occupancy Technology Type(s) Thermostat Device • humidity sensor • gas sensor • light sensor • Microphone Device • Camera Device • manual recording Sample Characteristic - Environment residential building Sample Characteristic - Location United States of America Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.14920131

Published in Scientific Data

ISSN: 2052-4463 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/sdata/

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