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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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[Dataset] Effective Searching for the Honeybee Queen in a Living Colony

Authors: Blaha, Jan; Mikula, Jan; Vintr, Tomas; Janota, Jiří; Ulrich, Jiří; Rouček, Tomáš; Rekabi-Bana, Fateme; +6 Authors

[Dataset] Effective Searching for the Honeybee Queen in a Living Colony

Abstract

README for the "Effective Searching for the Honeybee Queen in a Living Colony" Dataset Dataset Overview This dataset supports the analyses and experiments of the paper: Blaha et al., "Effective Searching for the Honeybee Queen in a Living Colony," CASE 2024. DOI: 10.1109/CASE59546.2024.10711366 The dataset provides comprehensive observations of honeybee queen behaviour within an observation hive captured using an automated robotic system. The primary objective is to facilitate research in precision beekeeping by offering detailed spatial and temporal data on bee activities. Data Collection Methodology The data was collected using a robotic system equipped with sensors and cameras designed to non-invasively monitor bee activity within the hive. The system performed systematic scans of predefined locations, capturing images and detecting bee positions and orientations. This approach minimizes disturbance to the bees and ensures consistent data quality. For more details, see Ulrich et al., "Autonomous tracking of honey bee behaviours over long-term periods with cooperating robots," Science Robotics 2024. DOI: 10.1126/scirobotics.adn6848. Data Structure and File Contents The dataset consists of one file 2023-month-queenpos-short.txt which is a CSV formatted file containing the following columns: Column Number Column Name Units Description 1 Timestamp ns Timestamp of the detection in Unix epoch seconds (UTC). 2 Camera - String representing the particular camera (e.g., "/hive_2/xy_1/camera_1" represents hive n. 2, robot on side 1, camera is duplicated) 3 Heading rad Orientation of the Whycon marker in the image. 4 X - Queen m X-coordinate of the honeybee queen's position in meters. 5 Y - Queen m Y-coordinate of the honeybee queen's position in meters. 6 X - Camera m X-coordinate of the camera's position in meters. 7 Y - Camera m Y-coordinate of the camera's position in meters. 8 X - Queen in Image m X-coordinate of the queen's metric position in the image in meters. 9 Y - Queen in Image m Y-coordinate of the queen's metric position in the image in meters. Note: the observation hive has two sides, each monitored by a separate robot. License and Citation To attribute this dataset in your research, please cite the two corresponding papers: Blaha et al., "Effective Searching for the Honeybee Queen in a Living Colony," CASE 2024. DOI: 10.1109/CASE59546.2024.10711366Ulrich et al., "Autonomous tracking of honey bee behaviours over long-term periods with cooperating robots," Science Robotics 2024. DOI: 10.1126/scirobotics.adn6848

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Keywords

Long-Term Autonomy, Biohybrid Systems, Apis Mellifera, Robotic Searching

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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