<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"><identifier identifierType="DOI">10.26165/JUELICH-DATA/B9SBOS</identifier><creators><creator><creatorName nameType="Personal">Baker, Dirk</creatorName><givenName>Dirk</givenName><familyName>Baker</familyName><nameIdentifier nameIdentifierScheme="ORCID">0000-0003-1542-1062</nameIdentifier><affiliation>Forschungszentrum Jülich GmbH</affiliation></creator><creator><creatorName nameType="Personal">Zielasko, Daniel</creatorName><givenName>Daniel</givenName><familyName>Zielasko</familyName><nameIdentifier nameIdentifierScheme="ORCID">0000-0003-3451-4977</nameIdentifier><affiliation>Universität Trier</affiliation></creator></creators><titles><title>Study Data to VRoot: An XR-Based Application for Manual Root System Architecture Reconstruction</title></titles><publisher>Jülich DATA</publisher><publicationYear>2024</publicationYear><subjects><subject>Agricultural Sciences</subject><subject>Computer and Information Science</subject></subjects><contributors><contributor contributorType="ContactPerson"><contributorName nameType="Personal">Baker, Dirk</contributorName><givenName>Dirk</givenName><familyName>Baker</familyName><affiliation>Forschungszentrum Jülich GmbH</affiliation></contributor></contributors><dates><date dateType="Submitted">2024-06-14</date><date dateType="Updated">2024-06-18</date><date dateType="Collected">2023-11-01/2023-12-23</date></dates><resourceType resourceTypeGeneral="Dataset">Virtual MRI Data</resourceType><relatedIdentifiers><relatedIdentifier relationType="IsCitedBy" relatedIdentifierType="DOI">10.1101/2024.06.13.598253</relatedIdentifier></relatedIdentifiers><sizes><size>1232100</size><size>9305</size><size>1232100</size><size>857</size><size>2233883</size><size>3633588</size><size>2340990</size><size>2086</size></sizes><formats><format>image/RAW</format><format>text/csv</format><format>image/RAW</format><format>text/csv</format><format>application/octet-stream</format><format>application/octet-stream</format><format>image/RAW</format><format>text/csv</format></formats><version>1.0</version><rightsList><rights rightsURI="info:eu-repo/semantics/openAccess"/><rights/></rightsList><descriptions><description descriptionType="Abstract">&lt;h2>VRoot Study Data&lt;/h2>&#xd;
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&lt;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.&lt;/p>&#xd;
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&lt;p>The presented data has 19 data points after 1 point in the +W condition was removed&lt;/p>&#xd;
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&lt;p>&#xd;
Reference: &#xd;
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 VRoot: An XR-Based Application for Manual Root System Architecture Reconstruction&#xd;
Dirk Norbert Baker, Tobias Selzner, Jens Henrik Gobbert, Hanno Scharr, Morris Riedel, Ebba Bora Hvannberg, Andrea Schnepf, Daniel Zielasko&#xd;
bioRxiv 2024.06.13.598253; doi: https://doi.org/10.1101/2024.06.13.598253 &#xd;
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&lt;p>This data set consists of the following structure:&lt;/p>&#xd;
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&lt;ul>&#xd;
&lt;li>&lt;b>noisy_111x111x100.raw&lt;/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&lt;/li>&#xd;
&lt;li>&lt;b>study_111x111x100.raw&lt;/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&lt;/li>&#xd;
&lt;li>&lt;b>training_111x111x190.raw&lt;/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&lt;/li>&#xd;
&lt;li>&lt;b>ueq.csv&lt;/b>: User Experience Questionnaire evaluation data&lt;/li>&#xd;
&lt;li>&lt;b>subjective.csv&lt;/b>: Other questionnaire evaluation data, NASA Task Load Index Short and System Usability Scale, additionally data set ID, Water noise, and demographic information&lt;/li>&#xd;
&lt;li>&lt;b>objective.csv&lt;/b>: Objective measurements from the root system architecture reconstruction of each participant&lt;/li>&#xd;
&lt;li>&lt;b>survey.zip.archive&lt;/b>: Study description and questionnaires as PDF as well as study logic as XML, within the zip archive&lt;/li>&#xd;
&lt;li>&lt;b>tracings.zip.archive&lt;/b>: The tracings of each participant, both VR and NMRooting, per ID within the zip archive.&lt;/li>&#xd;
&lt;/ul>&#xd;
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&lt;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.&lt;/p></description><description descriptionType="TechnicalInfo">Unreal Engine, 5.1</description><description descriptionType="Methods">Study data consists of all used data points from our human participant laboratory user study conducted in the "Virtual Reality Laboratory" of IBG-3, Forschungszentrum Jülich GmbH.</description></descriptions><geoLocations/><fundingReferences><fundingReference><funderName>BMBF</funderName><awardNumber>InHPC-DE project (01-H17001)</awardNumber></fundingReference><fundingReference><funderName>EuroHPC/JU</funderName><awardNumber>101101903 EUROCC2</awardNumber></fundingReference><fundingReference><funderName>DFG</funderName><awardNumber>EXC-2070 - 390732324 - PhenoRob</awardNumber></fundingReference><fundingReference><funderName>BMBF</funderName><awardNumber>CROP (ref. FKZ 728 031B0909A)</awardNumber></fundingReference></fundingReferences></resource>