{"dcterms:modified":"2024-06-18","dcterms:creator":"A Dataverse Instance","@type":"ore:ResourceMap","@id":"https://data.fz-juelich.de/api/datasets/export?exporter=OAI_ORE&persistentId=doi:10.26165/JUELICH-DATA/B9SBOS","ore:describes":{"Title":"Study Data to VRoot: An XR-Based Application for Manual Root System Architecture Reconstruction","fzj:Institute":["IBG-3","JSC"],"fzj:PoF III topic":"Plant Science (POF3-582)","fzj:PoF IV topic":"Cross-Domain Algorithms, Tools, Methods Labs (ATMLs) and Research Groups (POF4-5112)","Author":[{"author:Name":"Baker, Dirk","author:Affiliation":"Forschungszentrum Jülich GmbH","Identifier Scheme":"ORCID","Identifier":"0000-0003-1542-1062"},{"author:Name":"Zielasko, Daniel","author:Affiliation":"Universität Trier","Identifier Scheme":"ORCID","Identifier":"0000-0003-3451-4977"}],"citation:Contact":{"datasetContact:Name":"Baker, Dirk","datasetContact:Affiliation":"Forschungszentrum Jülich GmbH","datasetContact:E-mail":"d.baker@fz-juelich.de"},"citation:Description":{"dsDescription:Text":"<h2>VRoot Study Data</h2>\r\n\r\n<p>This data has been collected during our user study analysing VRoot, an application for immersive 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.</p>\r\n\r\n<p>The presented data has 19 data points after 1 point in the +W condition was removed</p>\r\n\r\n<p>\r\nReference: \r\n\r\n VRoot: An XR-Based Application for Manual Root System Architecture Reconstruction\r\nDirk Norbert Baker, Tobias Selzner, Jens Henrik Gobbert, Hanno Scharr, Morris Riedel, Ebba Bora Hvannberg, Andrea Schnepf, Daniel Zielasko\r\nbioRxiv 2024.06.13.598253; doi: https://doi.org/10.1101/2024.06.13.598253 \r\n</p>\r\n\r\n<p>This data set consists of the following structure:</p>\r\n\r\n<ul>\r\n<li><b>noisy_111x111x100.raw</b>: 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</li>\r\n<li><b>study_111x111x100.raw</b>: 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</li>\r\n<li><b>training_111x111x190.raw</b>: 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</li>\r\n<li><b>ueq.csv</b>: User Experience Questionnaire evaluation data</li>\r\n<li><b>subjective.csv</b>: Other questionnaire evaluation data, NASA Task Load Index Short and System Usability Scale, additionally data set ID, Water noise, and demographic information</li>\r\n<li><b>objective.csv</b>: Objective measurements from the root system architecture reconstruction of each participant</li>\r\n<li><b>survey.zip.archive</b>: Study description and questionnaires as PDF as well as study logic as XML, within the zip archive</li>\r\n<li><b>tracings.zip.archive</b>: The tracings of each participant, both VR and NMRooting, per ID within the zip archive.</li>\r\n</ul>\r\n\r\n<p>Note that the IDs present in the data are not the original participant IDs and have been further anonymized. We have collected and stored the original IDs.</p>","dsDescription:Date":"2024-06-16"},"Subject":["Agricultural Sciences","Computer and Information Science"],"Related Publication":{"ID Type":"doi","ID Number":"10.1101/2024.06.13.598253","URL":"https://doi.org/10.1101/2024.06.13.598253"},"Grant Information":[{"grantNumber:Grant Agency":"BMBF","grantNumber:Grant Number":"InHPC-DE project (01-H17001)"},{"grantNumber:Grant Agency":"EuroHPC/JU","grantNumber:Grant Number":"101101903 EUROCC2"},{"grantNumber:Grant Agency":"DFG","grantNumber:Grant Number":"EXC-2070 - 390732324 - PhenoRob"},{"grantNumber:Grant Agency":"BMBF","grantNumber:Grant Number":"CROP (ref. 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