Data from: James-Stein estimator improves accuracy and sample efficiency in human kinematic and metabolic data

In the associated manuscript, we show that James-Stein estimator helps
improve statistical estimates for kinematic and metabolic problems by
pooling data from multiple subjects. We considered three types of
estimation problems: foot placement control, metabolic cost of walking in
circles and metabolic cost of resting. In this dataset, we have shared the
individual statistical estimates for each subject for each type of data,
for each trial duration, along with their standard errors. The data in
MATLAB's .mat format and can be opened with MATLAB, or free software
such as octave and python.