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Study Type: observational Publication Year: 2023 Author Name: Koger, Benjamin

1 to 2 of 2 Results

Data for: An automated approach for counting groups of flying animals applied to one of the world’s largest bat colonies May 22, 2023 Koger, Benjamin; Hurme, Edward; Costelloe, Blair R; O'Mara, M. Teague; Wikelski, Martin; Kays, Roland; Dechmann, Dina, 2023, "Data for: An automated approach for counting groups of flying animals applied to one of the world’s largest bat colonies", https://doi.org/10.17617/3.1YIESH, Edmond, V1 Data that goes with paper entitled "An automated approach for counting groups of flying animals applied to one of the world’s largest bat colonies" published by the same authors as this dataset. Data is stored as .npy files containing the crossing information for each detected ba...
Data for: Quantifying the movement, behaviour and environmental context of group-living animals using drones and computer vision Feb 8, 2023 Koger, Benjamin; Adwait Deshpande; Jeffrey T. Kerby; Jacob M. Graving; Blair R. Costelloe; Iain D. Couzin, 2023, "Data for: Quantifying the movement, behaviour and environmental context of group-living animals using drones and computer vision", https://doi.org/10.17617/3.EMRZGH, Edmond, V1 This is data used for the worked examples in the paper "Quantifying the movement, behaviour and environmental context of group-living animals using drones and computer vision", published in the Journal of Animal Ecology.

Data for: An automated approach for counting groups of flying animals applied to one of the world’s largest bat colonies

May 22, 2023

Koger, Benjamin; Hurme, Edward; Costelloe, Blair R; O'Mara, M. Teague; Wikelski, Martin; Kays, Roland; Dechmann, Dina, 2023, "Data for: An automated approach for counting groups of flying animals applied to one of the world’s largest bat colonies", https://doi.org/10.17617/3.1YIESH, Edmond, V1

Data that goes with paper entitled "An automated approach for counting groups of flying animals applied to one of the world’s largest bat colonies" published by the same authors as this dataset. Data is stored as .npy files containing the crossing information for each detected ba...

Data for: Quantifying the movement, behaviour and environmental context of group-living animals using drones and computer vision

Feb 8, 2023

Koger, Benjamin; Adwait Deshpande; Jeffrey T. Kerby; Jacob M. Graving; Blair R. Costelloe; Iain D. Couzin, 2023, "Data for: Quantifying the movement, behaviour and environmental context of group-living animals using drones and computer vision", https://doi.org/10.17617/3.EMRZGH, Edmond, V1

This is data used for the worked examples in the paper "Quantifying the movement, behaviour and environmental context of group-living animals using drones and computer vision", published in the Journal of Animal Ecology.

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