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

<p>We present a one-year-long <strong>M</strong>ulti-<strong>S</strong>ensor dataset with <strong>P</strong>henotypic trait measurements from honey <strong>B</strong>ees (MSPB). Data were continuously collected between April-2020 and April-2021 from 53 hives located at two apiaries in Qu&eacute;bec, 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), <em>Varroa</em> 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, <em>Varroa </em>infection detection, hive population estimation, biological analysis of bees, etc.</p> <h3>Related Info</h3> <p>The data collection process, feature pre-processing, preliminary data analysis, and usage notes can be found in our paper <a href="https://arxiv.org/abs/2311.10876">https://arxiv.org/abs/2311.10876</a></p> <p>Check the project webpage (<a href="https://zhu00121.github.io/MSPB-webpage/">https://zhu00121.github.io/MSPB-webpage/</a>) and Github repo (<a href="https://github.com/MuSAELab/MSPB">https://github.com/MuSAELab/MSPB</a>) for more information.</p> <h3>Citation</h3> <p>Kindly cite the following paper:</p> <p>@misc{zhu2023mspb,</p> <p>&nbsp; &nbsp; &nbsp;title={MSPB: a longitudinal multi-sensor dataset with phenotypic trait measurements from honey bees}, &nbsp;</p> <p>&nbsp; &nbsp; &nbsp;author={Yi Zhu and Mahsa Abdollahi and S&eacute;gol&egrave;ne Maucourt and Nico Coallier and Heitor R. Guimar&atilde;es and Pierre Giovenazzo and Tiago H. Falk},</p> <p>&nbsp; &nbsp; &nbsp;year={2023},</p> <p>&nbsp; &nbsp; &nbsp;eprint={2311.10876},</p> <p>&nbsp; &nbsp; &nbsp;archivePrefix={arXiv},</p> <p>&nbsp; &nbsp; &nbsp;primaryClass={eess.AS}</p> <p>}</p> <h3>Contact</h3> <p>You can contact us at Yi.Zhu@inrs.ca, if you encounter any questions accessing the data.</p>