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城市:城市蜂巢声学和Phenotyping数据集

Mahsa Abdollahi¹, Yi Zhu¹, Heitor R Guimarães¹

¹INRS-EMT, Université du Québec, Montréal, Canada.

Scientific data

|March 31, 2025

概括

这项研究介绍了蒙特利尔10个蜜蜂群的多式联络数据集,记录了超过3000小时的音频和环境数据. 这些数据有助于通过音频分析预测蜜蜂种群动态.

科学领域:

生态生态学生态生态学
动物行为动物行为
数据科学数据科学数据科学

背景情况:

蜜蜂种群面临着许多威胁,影响农业和生态系统.
监测蜂群健康和人口动态对于保护工作至关重要.
多模式数据提供了一种全面的方法来理解殖民地行为.

研究的目的:

为蜜蜂殖民地研究提供一个新的多式联络数据集.
详细说明数据收集,传感器信息和数据集结构.
为了证明数据集在预测殖民地人口中的实用性.

主要方法:

从10个蜂巢收集了超过3000小时的高质量音频数据.
集成的传感器数据,包括温度和湿度.
定期进行蜂巢检查以记录种群,女王状态和健康指标 (例如,瓦罗亚虫).

主要成果:

建立了一个涵盖2021-2022年的综合多式联运数据集.
提取了音频特征,以预测殖民地人口规模.
该数据集提供了对影响蜂群健康和弹性因素的见解.

结论:

呈现的多式联络数据集是蜜蜂研究的宝贵资源.
音频分析显示,对蜜蜂种群的非侵入性监测有希望.
这些数据可以支持改善蜂群健康和可持续性的策略.

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