2024 Puerto Blest Collection

In this study, we present a comprehensive dataset of the soundscape of the endemic Patagonian bumblebee (\textit{Bombus dahlbomii}) from Puerto Blest, Argentina, focusing on bumblebee bioacoustics and environmental variables. Our dataset, collected using custom stereo acoustic recorders, includes audio, temperature, humidity, and gas concentration data from twelve locations over six days, covering different weather conditions. Annotations marking native and invasive bee segments provide insights into the ecology of \textit{B. dahlbomii} and its interactions with invasive species like \textit{Bombus terrestris}. The decline of \textit{B. dahlbomii} threatens pollination of diverse plants, impacting agricultural and ecological systems. Furthermore, invasive bees alter foraging behaviors, disrupting plant-pollinator mutualisms. This dataset facilitates the development of machine learning models for monitoring \textit{Bombus} populations, crucial for conservation efforts. Our robust data annotation techniques enhance the dataset's reliability for future modeling work, serving as a resource to study the effects of biological invasions on native bumblebee populations and their ecosystems.本研究构建了一套针对阿根廷布勒斯特港（Puerto Blest）特有巴塔哥尼亚熊蜂（*Bombus dahlbomii*）声景的综合数据集，研究重点聚焦于熊蜂生物声学与环境变量。本数据集采用定制化立体声声学记录仪采集，涵盖6天内12个采样点位的音频、温度、湿度与气体浓度数据，覆盖不同天气状况。标记本土与入侵性蜂类片段的标注信息，可为解析*B. dahlbomii*的生态学特征及其与光亮熊蜂（*Bombus terrestris*）等入侵物种的种间相互作用提供研究视角。*B. dahlbomii*的种群衰退威胁着多种植物的授粉过程，进而对农业与生态系统造成负面影响。此外，入侵性蜂类会改变觅食行为，破坏植物与传粉者之间的共生关系。本数据集可助力开发用于监测熊蜂属（*Bombus*）种群的机器学习模型，这对物种保护工作至关重要。本研究采用的高标准数据标注技术提升了数据集在未来建模工作中的可靠性，可作为研究生物入侵对本土熊蜂种群及其生态系统影响的重要资源。