This is the raw wearable dataset from the paper by the authors, titled "Feasibility and patient acceptability of a commercially available wearable and a smartphone application in identification of motor states in Parkinson’s disease", PLOS Digital Health 2023, DOI 0.1371/journal.pdig.0000225 The HDF5 file has groups as subjects, P_* denoting patients and C_* denoting controls. Within each group, index "1" denotes accelerometer data, other indices are heart rate and other data not used in the study. For example, /P_fd3e/1/timestamp is the timestamp of the accelerometer data of (anonymized) patient P_fd3e, and /P_fd3e/1/y are their corresponding values measured from the y-channel of the device.