Movement Data of Goats in the Loess Plateau, China (2016-04-22 to 2017-05-07)

Multivariate Hidden Markov Models (HMMs) were applied to characterize the fine-scale movement behavior (30-second intervals) of GPS-tracked domestic Zhongwei goats (Capra aegagrus hircus) for 124 days and analyzed the (combined) influence of biotic and abiotic factors and specific time of day on their seasonal movement behavioral transition in a predator-free, semi-arid mountain grassland in China. Fitted covariates included slope, Vector Ruggedness Measure (VRM), NDVI, and a temporal covariate representing time of day.