Study Data to VRoot: An XR-Based Application for Manual Root System Architecture Reconstruction

The study was a human participant mixed design laboratory study (n=20-1). Ethics approval was granted by the University of Trier and the study was conducted under the supervision of Dr.

Daniel Zielasko. The presented data has 19 data points after 1 point in the +W condition was removed Reference: VRoot: An XR-Based Application for Manual Root System Architecture Reconstruction Dirk Norbert Baker, Tobias Selzner, Jens Henrik Gobbert, Hanno Scharr, Morris Riedel, Ebba Bora Hvannberg, Andrea Schnepf, Daniel Zielasko bioRxiv 2024.06.13.598253; doi: doi.org/10.1101/2024.06.13.598253 This data set consists of the following structure: noisy_111x111x100.raw: Study data set that was measured, with noise applied to it, this is a volumetric image data set consisting of uint8 data as xz slices, (0.5, 0.5, 1.0) spacing study_111x111x100.raw: Study data set that was measured, this is a volumetric image data set consisting of uint8 data as xz slices, (0.5, 0.5, 1.0) spacing training_111x111x190.raw: Training data participants learned the study task on, this is a volumetric image data set consisting of uint8 data as xz slices, (0.5, 0.5, 1.0) spacing ueq.csv: User Experience Questionnaire evaluation data subjective.csv: Other questionnaire evaluation data, NASA Task Load Index Short and System Usability Scale, additionally data set ID, Water noise, and demographic information objective.csv: Objective measurements from the root system architecture reconstruction of each participant survey.zip.archive: Study description and questionnaires as PDF as well as study logic as XML, within the zip archive tracings.zip.archive: The tracings of each participant, both VR and NMRooting, per ID within the zip archive.