[Dataset] Effective Searching for the Honeybee Queen in a Living Colony
Authors/Creators
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Blaha, Jan
(Researcher)1
-
Mikula, Jan
(Researcher)2
-
Vintr, Tomas
(Researcher)3
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Janota, Jiří
(Researcher)1
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Ulrich, Jiří
(Researcher)1
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Rouček, Tomáš
(Researcher)1
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Rekabi-Bana, Fateme
(Researcher)4, 3
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Fedotoff, Laurenz Alexander
(Researcher)5
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Stefanec, Martin
(Researcher)5
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Schmickl, Thomas
(Project leader)5
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Arvin, Farshad
(Project leader)6, 3
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Kulich, Miroslav
(Project leader)7
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Krajník, Tomáš
(Project leader)1
- 1. Faculty of Electrical Engineering, Czech Technical University in Prague
- 2. Czech Institute of Informatics, Robotics and Cybernetics; Czech Technical University in Prague
- 3. Durham University, Computer Science Department
- 4. University of Manchester
- 5. Artificial Life Lab, Department of Zoology, Institute of Biology, University of Graz
- 6. Durham University
- 7. Czech Institute of Informatics, Robotics and Cybernetics, Czech Technical University in Prague
Description
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/CASE59546.2024.10711366
Ulrich et al., "Autonomous tracking of honey bee behaviours over long-term periods with cooperating robots," Science Robotics 2024. DOI: 10.1126/scirobotics.adn6848
Files
2024_case_searching_dataset.zip
Files
(1.6 GB)
| Name | Size | Download all |
|---|---|---|
|
md5:afdedd9a2fce6810781886e823034dea
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1.6 GB | Preview Download |
Additional details
Related works
- Is supplement to
- Conference paper: 10.1109/CASE59546.2024.10711366 (DOI)
Funding
Dates
- Collected
-
2023-10
Software
Biodiversity
- Species
- Apis Mellifera