Dataset for "Combining artificial intelligence and local ecological knowledge to document the largest ever-counted Cape buffalo mega-herd"

DOI

This dataset contains the data necessary to recreate the counting procedure described in the manuscript "Combining artificial intelligence and local ecological knowledge to document the largest ever-counted Cape buffalo mega-herd". The folder mababe-megaherd-data includes all data necessary for the automated detection, tracking and counting procedure, count forecasting and accuracy assessments, as well as the files generated during this procedure, including the supplementary videos referred to in the manuscript. Code for implementing the procedure are provided in the corresponding GitHub repository.

Identifier
DOI https://doi.org/10.17617/3.FKUGSV
Related Identifier https://github.com/BCostelloe/mababe-megaherd
Metadata Access https://edmond.mpg.de/api/datasets/export?exporter=dataverse_json&persistentId=doi:10.17617/3.FKUGSV
Provenance
Creator Costelloe, Blair; Bennitt, Emily; Koger, Benjamin; Wielgus, Elodie; Masunga, Gaseitsiwe; Caron, Alexandre
Publisher Edmond
Publication Year 2026
Funding Reference Centre for the Advanced Study of Collective Behaviour’ EXC 2117-422037984; Deutsche Forschungsgemeinschaft 578 (DFG, German Research Foundation) under Germany’s Excellence Strategy; NVIDIA Corporation’s Academic Hardware Grant Program
OpenAccess true
Contact blair.costelloe(at)ab.mpg.de; blaircostelloe(at)gmail.com
Representation
Language English
Resource Type Dataset
Version 1
Discipline Other