Available as a CSV via GitHub or through the tsibbledata R package .
The most famous Canadian lynx dataset is derived from the records. These datasets track the annual number of lynx and snowshoe hare pelts collected from 1845 to 1935, serving as a classic case study for the Lotka-Volterra predator-prey model. canadian lynx dataset download
Often included as a standard R dataset ( data(lynx) ), this focuses on a specific regional subset (1821–1934) and is a staple for time-series forecasting benchmarks. 2. Modern Wildlife & GPS Tracking Datasets Available as a CSV via GitHub or through
For developers looking to train animal re-identification or species detection models, there are emerging unified toolkits. Often included as a standard R dataset (
Contemporary research focuses on movement ecology, habitat suitability, and connectivity. These datasets are typically provided by government wildlife agencies.
You can find GPS-collared movement data for residents and dispersers (2018–2024), specifically from the Kanuti National Wildlife Refuge and various Alaskan study sites.