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UrBAN: Urban Beehive Acoustics and PheNotyping Dataset

Description: We present a multimodal dataset obtained from a honey bee colony in Montréal, Quebec, Canada, spanning years from 2021 to 2022. This apiary comprised of 10 beehives, with microphones recording more than 2000 hours of high quality raw audio, and also sensors capturing temperature, and humidity. Periodic hive inspections involved monitoring colony honey bee population changes, assessing queen-related conditions, and documenting overall hive health. Additionally, health metrics, such as Varroa mite infestation rates and winter mortality assessments were recorded, offering valuable insights into factors affecting hive health status and resilience.
Notes: Item exited embargo and became publicly available on 2024-06-17
Authors: Abdollahi, Mahsa; National Institute of Scientific Research; ORCID iD 0000-0003-2421-0101
Zhu, Yi; National Institute of Scientific Research
Guimarães, Heitor R.; National Institute of Scientific Research
Coallier, Nico; Nectar Technologies Inc.
Maucourt, Ségolène; Laval University
Giovenazzo, Pierre; Laval University
Falk, Tiago H.; National Institute of Scientific Research
Keywords: honey bess
beehive acoustics
frames of bees prediction
Field of Research: 
Electrical engineering, computer engineering, and information engineering
Data analytics and signal processing
Acoustic signal processing
Publication Date: 2024-06-17
Publisher: Federated Research Data Repository / dépôt fédéré de données de recherche
Related Identifiers: 
Geographic Coverage: 
Place Name
Nectar Technologies Inc.
Province /
Province / Territory
Geographic Point: 

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Access to this dataset is subject to the following terms:
Creative Commons Attribution 4.0 International (CC BY 4.0)
Abdollahi, M., Zhu, Y., Guimarães, H., Coallier, N., Maucourt, S., Giovenazzo, P., Falk, T. (2024). UrBAN: Urban Beehive Acoustics and PheNotyping Dataset. Federated Research Data Repository.