Six-minute walk test instrumented with a single inertial sensor: dataset from healthy adults of different ages

This dataset includes raw and processed data collected using a single lower-back-mounted inertial measurement unit (IMU) during a standardized 6-Minute Walk Test (6MWT) in a sample of sixty healthy adults (age range: 21–75 years; 50% female). Accelerometer and gyroscope signals were analyzed for metrological quality under static and dynamic conditions. A set of digital gait metrics was derived from the IMU data, including spatiotemporal parameters and measures of gait intensity, instability, symmetry, and regularity. These metrics are provided in the dataset alongside demographic, anthropometric, and physiological data. The dataset offers a practical, clinically relevant resource to support the development, validation, and benchmarking of novel algorithms for digital mobility assessments. Its structure enables comparisons across age and sex groups and provides normative data for future analyses on pathologic populations, supporting applications in aging studies, rehabilitation, and digital biomarker development. Raw signals, processed metrics and software codes are included in the dataset to support effective data reusability.