Reviews involve examining the data for completeness, reasonableness, and accuracy.
Although they have common objectives, these reviews are tailored to each data set, often requiring extensive programming efforts. In short, the QA process is a critical component in the value-added concept of supplying accurate, usable data for researchers. Several outliers were identified and flagged after consultation with the principal investigators. All variables were checked for values exceeding physical limits, such as sampling depth values that are greater than the given bottom depths.