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MSPB: a longitudinal multi-sensor dataset with phenotypic trait measurements from honey bees

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Mendeley Data2024-06-27 更新2024-06-27 收录
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We present a longitudinal Multi-Sensor dataset with Phenotypic trait measurements from honey Bees (MSPB). Data were continuously collected between May-2020 and April-2021 from 53 hives located at two apiaries in Québec, Canada. The sensor data included audio features, temperature, and relative humidity. The phenotypic measurements contained beehive population, number of brood cells (eggs, larva and pupa), Varroa destructor infestation levels, defensive and hygienic behaviors, honey yield, and winter mortality. Our study is amongst the first to provide a wide variety of phenotypic trait measurements annotated by apicultural science experts, which facilitate a broader scope of analysis on honey bees, such as bee acoustics analysis, multi-modal hive monitoring, queen presence detection, Varroa infection detection, hive population estimation, biological analysis of bees, etc. Related Info The data collection process, feature pre-processing, preliminary data analysis, and usage notes can be found in our paper https://arxiv.org/abs/2311.10876 Check the project webpage (https://zhu00121.github.io/MSPB-webpage/) and Github repo (https://github.com/MuSAELab/MSPB) for more information. Citation Kindly cite the following paper: @misc{zhu2023mspb, title={MSPB: a longitudinal multi-sensor dataset with phenotypic trait measurements from honey bees}, author={Yi Zhu and Mahsa Abdollahi and Ségolène Maucourt and Nico Coallier and Heitor R. Guimarães and Pierre Giovenazzo and Tiago H. Falk}, year={2023}, eprint={2311.10876}, archivePrefix={arXiv}, primaryClass={eess.AS} } Contact You can contact us at Yi.Zhu@inrs.ca, if you encounter any questions accessing the data.

本研究提出一款包含蜜蜂表型性状测量数据的纵向多传感器数据集(Multi-Sensor dataset with Phenotypic trait measurements from honey Bees,简称MSPB)。 该数据集于2020年5月至2021年4月期间,从加拿大魁北克省两座养蜂场的53个蜂箱中持续采集所得。 传感器数据涵盖音频特征、温度与相对湿度。 表型测量数据则包含蜂群种群规模、育幼巢房数量(卵、幼虫与蛹)、狄斯瓦螨(Varroa destructor)侵染水平、防御与卫生行为、蜂蜜产量以及越冬死亡率。 本研究是首批由养蜂学专家标注多类表型性状测量数据的相关研究之一,该数据集可为蜜蜂相关研究提供更广阔的分析维度,例如蜂声学分析、多模态蜂箱监测、蜂王存在检测、狄斯瓦螨侵染检测、蜂群种群估算以及蜜蜂生物学分析等。 相关说明: 数据集采集流程、特征预处理、初步数据分析及使用说明可参阅我们的学术论文:https://arxiv.org/abs/2311.10876。更多相关信息可访问项目主页(https://zhu00121.github.io/MSPB-webpage/)及GitHub代码仓库(https://github.com/MuSAELab/MSPB)。 引用规范: 请引用以下论文: @misc{zhu2023mspb, title={MSPB:一款包含蜜蜂表型性状测量数据的纵向多传感器数据集}, author={Yi Zhu and Mahsa Abdollahi and Ségolène Maucourt and Nico Coallier and Heitor R. Guimarães and Pierre Giovenazzo and Tiago H. Falk}, year={2023}, eprint={2311.10876}, archivePrefix={arXiv}, primaryClass={eess.AS} } 联系方式: 若您在数据获取过程中遇到任何疑问,可通过邮箱Yi.Zhu@inrs.ca与我们取得联系。

创建时间:
2023-11-20
搜集汇总
数据集介绍
MSPB: a longitudinal multi-sensor dataset with phenotypic trait measurements from honey bees 数据集图片
背景与挑战
背景概述
MSPB是一个关于蜜蜂的纵向多传感器数据集,收集了2020年5月至2021年4月期间加拿大魁北克53个蜂箱的传感器数据(包括音频、温度和湿度)和表型测量(如蜂群数量、瓦螨侵染水平和蜂蜜产量)。该数据集由专家注释,支持多种蜜蜂相关研究,如声学分析和蜂群健康监测,具有较高的科学应用价值。
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