<?xml version="1.0" encoding="UTF-8" ?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-16T23:42:04Z</responseDate><request identifier="10.35097/4mj6xh6jedtnd6e0" metadataPrefix="datacite" verb="GetRecord">https://www.radar-service.eu/oai/OAIHandler</request><GetRecord><record><header><identifier>10.35097/4mj6xh6jedtnd6e0</identifier><datestamp>2026-03-11T13:20:40Z</datestamp><setSpec>radar4kit</setSpec></header><metadata><resource xmlns="http://datacite.org/schema/kernel-4"
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   <identifier identifierType="DOI">10.35097/4mj6xh6jedtnd6e0</identifier>
   <creators>
      <creator>
         <creatorName>Hess, Manuel</creatorName>
         <givenName>Manuel</givenName>
         <familyName>Hess</familyName>
         <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0009-0007-3936-7220</nameIdentifier>
         <affiliation>Institut für Regelungs- und Steuerungssysteme (IRS), Karlsruher Institut für Technologie (KIT)</affiliation>
      </creator>
      <creator>
         <creatorName>Seiffer, Alexander</creatorName>
         <givenName>Alexander</givenName>
         <familyName>Seiffer</familyName>
         <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-4304-1617</nameIdentifier>
         <affiliation>Institut für Fahrzeugsystemtechnik (FAST), Karlsruher Institut für Technologie (KIT), Schaeffler Hub for Advanced Research am KIT (SHARE), Karlsruher Institut für Technologie (KIT)</affiliation>
      </creator>
      <creator>
         <creatorName>Bohn, Christopher</creatorName>
         <givenName>Christopher</givenName>
         <familyName>Bohn</familyName>
         <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0009-0005-1529-1837</nameIdentifier>
         <affiliation>Institut für Regelungs- und Steuerungssysteme (IRS), Karlsruher Institut für Technologie (KIT)</affiliation>
      </creator>
      <creator>
         <creatorName>Hohmann, Sören</creatorName>
         <givenName>Sören</givenName>
         <familyName>Hohmann</familyName>
         <affiliation>Institut für Regelungs- und Steuerungssysteme (IRS), Karlsruher Institut für Technologie (KIT)</affiliation>
      </creator>
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   <titles>
      <title>Reference Driving Scenarios to Support Research on Motion Sickness Mitigation</title>
   </titles>
   <publisher>Karlsruhe Institute of Technology</publisher>
   <dates>
      <date dateType="Created">2026</date>
   </dates>
   <publicationYear>2026</publicationYear>
   <subjects>
      <subject>Engineering</subject>
   </subjects>
   <resourceType resourceTypeGeneral="Dataset"/>
   <rightsList>
      <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
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              rightsIdentifierScheme="SPDX"
              rightsIdentifier="CC-BY-SA-4.0"
              rightsURI="https://creativecommons.org/licenses/by-sa/4.0/legalcode">Creative Commons Attribution Share Alike 4.0 International</rights>
   </rightsList>
   <contributors>
      <contributor contributorType="RightsHolder">
         <contributorName>Hess, Manuel</contributorName>
         <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="https://orcid.org/">0009-0007-3936-7220</nameIdentifier>
      </contributor>
      <contributor contributorType="RightsHolder">
         <contributorName>Seiffer, Alexander</contributorName>
         <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="https://orcid.org/">0000-0002-4304-1617</nameIdentifier>
      </contributor>
      <contributor contributorType="RightsHolder">
         <contributorName>Bohn, Christopher</contributorName>
         <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="https://orcid.org/">0009-0005-1529-1837</nameIdentifier>
      </contributor>
      <contributor contributorType="RightsHolder">
         <contributorName>Hohmann, Sören</contributorName>
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   </contributors>
   <descriptions>
      <description descriptionType="Abstract">This dataset provides a collection of driving scenarios designed to support research on motion sickness in automated vehicles. It includes reference paths covering both purpose-designed circuits and real-world roads that exhibit characteristic frequency content in the acceleration relevant to motion sickness. In addition, a dynamically feasible sample trajectory for a single-track vehicle model is provided. The dataset enables reproducible simulation studies and controlled test-track experiments for evaluation of motion-planning algorithms targeting motion-sickness mitigation.</description>
      <description descriptionType="TechnicalInfo">Further information about the dataset is provided in the documentation.pdf.</description>
   </descriptions>
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