Data from: Cross or bounce? Locational and video data reveal high road encounter and altered movement in a common ungulate
Identification
- Clé publique
- radar:r-4bf7438eeb654024c4acf15c682627b7
- Auteurs
- Stemle, Leyna · Nordseth, Anna · Egan, Michael · Vinson, John · Kishimoto, Tadao · Bastille-Rousseau, Guillaume
- Année déclarée
- 2026
- Langue déclarée
- en
- Type source
- Dataset
- Première détection
- 2026-11-13T08:57:04.999410+00:00
- Dernière observation des métadonnées
- 2026-11-13T08:57:04.999410+00:00
- Dernière vérification HTTP
- Non effectuée
Institutions déclarées par la source
Southern Illinois University Carbondale
Résumé documentaire — langue originale
Roads can constrain wildlife movement and pose collision risk, but quantifying fine-scale behavioral responses to individual road encounters remains difficult, particularly for species with large home ranges. This dataset contains GPS telemetry and associated covariate data for 125 white-tailed deer (Odocoileus virginianus) collared across three sites in southern Illinois, USA (Lake Shelbyville, Touch of Nature Outdoor Education Center, and Southern Illinois University Carbondale), 2023–2025, used to classify road-encounter behavior via Barrier Behavior Analysis (BaBA). The dataset includes cleaned GPS fix data for all 125 collared individuals, individual-level capture and collar metadata, road-encounter events classified by behavioral type (quick cross or bounce) with associated road category, road density, season, and diel period, and land cover proportions within a 100 m buffer of each encounter in both raw and scaled and centered form as used in mixed-effects logistic regression modeling of encounter type. Duplicate fixes, near-capture fixes, and implausibly fast steps were removed from the GPS data, with an additional fix-quality filter applied to the classification-ready track. Road category and land cover values are derived from the publicly available USGS National Transportation Dataset and National Land Cover Database. These data may be reused to examine ungulate road-crossing behavior, habitat selection near linear infrastructure, or as a comparison dataset for other road ecology studies. Animal capture and handling were conducted under Southern Illinois University IACUC protocols 21-028 and 21-002.
Identifiants
- DOI
- 10.5061/dryad.51c59zwr4
Repères documentaires
- Famille documentaire
- dataset
- Types déclarés par les sources
- Dataset
- Éditeurs
- Dryad
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Sources
DataCite · Document 1
Citer cette référence
Stemle, Leyna; Nordseth, Anna; Egan, Michael; Vinson, John; Kishimoto, Tadao; Bastille-Rousseau, Guillaume. Data from: Cross or bounce? Locational and video data reveal high road encounter and altered movement in a common ungulate. 2026. https://doi.org/10.5061/dryad.51c59zwr4
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- APA
- Stemle, Leyna; Nordseth, Anna; Egan, Michael; Vinson, John; Kishimoto, Tadao; Bastille-Rousseau, Guillaume. (2026). Data from: Cross or bounce? Locational and video data reveal high road encounter and altered movement in a common ungulate. https://doi.org/10.5061/dryad.51c59zwr4
- Chicago
- Stemle, Leyna; Nordseth, Anna; Egan, Michael; Vinson, John; Kishimoto, Tadao; Bastille-Rousseau, Guillaume. Data from: Cross or bounce? Locational and video data reveal high road encounter and altered movement in a common ungulate. 2026. https://doi.org/10.5061/dryad.51c59zwr4
- ISO 690
- Stemle, Leyna; Nordseth, Anna; Egan, Michael; Vinson, John; Kishimoto, Tadao; Bastille-Rousseau, Guillaume. Data from: Cross or bounce? Locational and video data reveal high road encounter and altered movement in a common ungulate. 2026. https://doi.org/10.5061/dryad.51c59zwr4
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UDTR — Bibliothèque juridique mondiale des droits de la Nature. Data from: Cross or bounce? Locational and video data reveal high road encounter and altered movement in a common ungulate. Notice documentaire: https://www.declarationuniverselledesdroitsdelarbre.org/global-rights-of-nature-radar/reference/r-4bf7438eeb654024c4acf15c682627b7/ · Dernière vérification HTTP : non effectuée
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Source bibliographique / publication d’origine · https://datadryad.org/dataset/doi:10.5061/dryad.51c59zwr4
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