Giant hummingbird (Patagona spp.) vocal trait analysis

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Authors: Jessie L. Williamson, Bryce W. Robinson, Ryan Zucker, Thomas Valqui, Christopher C. Witt
Cited by: 0

Abstract

This deposit contains data used in a published study of vocal differences between Northern Giant Hummingbirds (Patagona peruviana) and Southern Giant Hummingbirds (Patagona gigas) across their respective South American ranges. Raw data were sourced from Macaulay Library (ML) and Xeno-Canto (XC) databases. Descriptions of the dataset, metadata, and associated R code (on GitHub) are provided below.If you use these data, please cite the following paper:Robinson, B. W., R. J. Zucker, C. C. Witt, T. Valqui, and J. L. Williamson. 2026. Vocalizations distinguish the cryptic giant hummingbird species and clarify range limits. Journal of Field Ornithology 97(1):10. https://doi.org/10.5751/JFO-00750-970110 DATASETFile name: RobinsonEtAl2026_PatagonaBioacoustics_AllData_2026-01-04.csvDescription: Raw dataset used in Robinson et al. 2026. All recording data were sourced from the Macaulay Library (ML) and Xeno-Canto (XC) databases. This data file includes metadata for each recording, as well as vocal trait raw data scores (obtained by the authors from RavenPro) used in downstream processing and analyses. METADATAFile name: RobinsonEtAl2026_PatagonaBioacoustics_Metadata_2026-01-04.csvDescription: The metadata .csv file describes each column and type of data included in the full data file, "RobinsonEtAl2026_PatagonaBioacoustics_AllData_2026-01-04.csv". CODEAnalysis code is available on GitHub: https://github.com/jlwilliamson/patagona_bioacoustics/tree/main; DOI: 10.5281/zenodo.18265140. See GitHub repository README.md file for full description of all scripts and code. Data are archived on FigShare: 10.6084/m9.figshare.31077328.Questions? Contact me at jessie.williamson [at] uwyo.edu.

Fields of Study & Subjects

Animal Vocal Communication and Behavior Avian ecology and behavior Animal Behavior and Reproduction

Publication details

Journal / source
Figshare
Publication date
26 February 2026
Language
EN
Document type
Dataset