Data for: Monitoring the effects of ovariectomy on seasonal movement behavior in suburban female white-tailed deer using Internet of Things-enabled devices

Abundant deer populations often cause conflicts in suburban communities, but traditional population reduction methods, such as controlled hunting, can be challenging to implement in these contexts. Fertility control, specifically through ovariectomy, can limit reproduction and reduce populations in certain settings, yet its effects on movement behavior remain poorly understood. Concerns persist that hormonal changes affecting movement could lead to increased physiological demands and influence deer-vehicle collision (DVC) risks. We evaluated the effects of ovariectomy-induced anestrus on the seasonal movement behavior in female white-tailed deer (Odocoileus virginianus) using Internet of Things (IoT) biologging devices connected via a low-power wide-area network (LPWAN). From 17 January 2023 to 1 June 2024, we collected telemetry data from ovariectomized (treated) and untreated (control) female deer in South Euclid, Ohio, USA, and quantified seasonal movement patterns using 7-day home-r..., , # Data for: Monitoring the effects of ovariectomy on seasonal movement behavior in suburban female white-tailed deer using Internet of Things-enabled devices

[Access this dataset on Dryad](doi.org/10.5061/dryad.h70rxwdxb)

The data and code found here were used for the analyses in:

> DeNicola, V., Mezzini, S., Cagnacci, F. Monitoring the Effects of Ovariectomy on Seasonal Movement Behavior in Suburban Female White-Tailed Deer Using Internet of Things Enabled Devices. Wildlife Biology. [https://doi.org/10.1002/wlb3.01512](https://doi.org/10.1002/wlb3.01512)

The file `DeNicola-2025-south-euclid-deer.zip` contains:

* A `data` folder with the original (uncleaned) deer telemetry data (`Odocoileus virginianus DeNicola South Euclid.csv`), the telemetry metadata (`Odocoileus virginianus DeNicola South Euclid-reference-data.csv`), the cleaned telemetry data (`cleaned-telemetry-data.rds`), and the number of daily fixes for each deer (`daily-fixes.rds`).
* All `R` code used for the analyses in...,