Goat accelerometer data

Raw triaxial accelerometer data collected from wearable sensors deployed on goats, capturing high-frequency time-series measurements of movement dynamics along the X, Y, and Z axes. This unprocessed dataset serves as the foundational input for developing machine learning models aimed at classifying and monitoring goat behaviors (e.g., grazing, resting, walking, ruminating) and detecting anomalies indicative of health or welfare issues.