Research library

UrBAN: Urban Beehive Acoustics and PheNotyping Dataset

www.nature.com/scientificdata UrBAN: Urban Beehive Acoustics Data Descriptor and PheNotyping Dataset OPEN Mahsa Abdollahi1, Yi Zhu 1, Heitor R. Guimarães1, Nico Coallier Pierre Giovenazzo3 & Tiago H. Falk 1 ✉ 2 , Ségolène Maucourt3, In this paper, we present a multimodal dataset obtained from a honey bee colony in Montréal, Quebec, Canada, spanning the years of 2021 to 2022. This apiary comprised 10 beehives, with microphones recording more than 3000 hours of high quality raw audio, and also sensors capturing temperature, and humidity.

Publication details

Authors
Mahsa Abdollahi
Organizations
🇨🇦 Institut National de la Recherche Scientifique🇨🇦 Université Laval🇨🇦 Nectar Technologies Inc.
Year
2025
Type
Journal

Relevancy to Gratheon

This paper is relevant to Gratheon because it informs sensor hardware, telemetry pipelines, and monitoring dashboards, audio-acoustic monitoring models for remote hive status detection, dataset design, benchmarking, and model validation workflows. Its methods and findings can be translated into product requirements for reliable field deployments: what should be sensed, how signals should be interpreted, and which uncertainty or validation limits need to be surfaced to beekeepers. For Gratheon, the work is most useful as an evidence-backed design reference for connecting local hive observations with actionable recommendations in the web app while keeping hardware practical for remote apiaries.