DATA: Combining deep learning and automated feature extraction to analyze minirhizotron images development and validation of a new pipeline

This repository contains data that are supplementary to the publication "Combining deep learning and automated feature extraction to analyze minirhizotron images development and validation of a new pipeline". The workflow presented in the publication can be retraced with this data. Furthermore, root length data from the Selhausen minirhizotrons from 2017 and 2018 is published here.