<?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>2026-04-21T08:57:08Z</responseDate><request identifier="10.35097/yhanb6twk8t9pqku" metadataPrefix="datacite" verb="GetRecord">https://www.radar-service.eu/oai/OAIHandler</request><GetRecord><record><header><identifier>10.35097/yhanb6twk8t9pqku</identifier><datestamp>2026-02-24T12:34:39Z</datestamp><setSpec>radar4kit</setSpec></header><metadata><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 https://schema.datacite.org/meta/kernel-4.6/metadata.xsd">
  <identifier identifierType="DOI">10.35097/yhanb6twk8t9pqku</identifier>
  <creators>
    <creator>
      <creatorName>Bihler, Manuel</creatorName>
      <givenName>Manuel</givenName>
      <familyName>Bihler</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-7074-0555</nameIdentifier>
      <affiliation>Institute of Industrial Information Technology</affiliation>
    </creator>
  </creators>
  <titles>
    <title>WoodVIT_V1_Raw</title>
    <title titleType="TranslatedTitle">ASKIVIT: Altholzgewinnung aus Sperrmüll durch künstliche Intelligenz und Bildverarbeitung im VIS-, IR- und Terahertz-Bereich</title>
    <title titleType="Subtitle">WoodVIT: Extraction of Wood from Bulk Waste through Artificial Intelligence and Image Processing in the VIS, IR, and Terahertz Ranges</title>
  </titles>
  <publisher>Bihler, Manuel</publisher>
  <dates>
    <date dateType="Created">2023</date>
  </dates>
  <publicationYear>2026</publicationYear>
  <subjects>
    <subject>Engineering</subject>
    <subject>Multi-sensor, multispectral, multimodal, hyperspectral, image data</subject>
  </subjects>
  <resourceType resourceTypeGeneral="Image"/>
  <rightsList>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
    <rights schemeURI="https://spdx.org/licenses/" rightsIdentifierScheme="SPDX" rightsIdentifier="CC-BY-4.0" rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
  </rightsList>
  <contributors>
    <contributor contributorType="RightsHolder">
      <contributorName>Karlsruhe Institute of Technology (KIT)</contributorName>
    </contributor>
    <contributor contributorType="ProjectMember">
      <contributorName>Roming, Lukas</contributorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0009-0006-1330-3117</nameIdentifier>
      <affiliation>Fraunhofer IOSB</affiliation>
    </contributor>
    <contributor contributorType="ProjectMember">
      <contributorName>Aderhold, Jochen</contributorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-8739-7201</nameIdentifier>
      <affiliation>Fraunhofer WKI</affiliation>
    </contributor>
    <contributor contributorType="ProjectMember">
      <contributorName>Čibiraitė-Lukenskienė, Dovilė</contributorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-1949-6312</nameIdentifier>
      <affiliation>Fraunhofer ITWM</affiliation>
    </contributor>
    <contributor contributorType="ProjectMember">
      <contributorName>Schlüter, Friedrich</contributorName>
      <affiliation>Fraunhofer WKI</affiliation>
    </contributor>
  </contributors>
  <descriptions>
    <description descriptionType="Abstract">Raw data files on which the ASKIVIT V1 dataset is based. The dataset includes 56 x 4 images captured by four different sensors: a high-resolution VIS/RGB camera, a hyperspectral NIR camera, a thermographic camera, and a THz scanner. Python loading functions are provided. The registered, annotated, and ready-to-use dataset is also available. For access, refer to the associated identifier link at the top of the page.</description>
  </descriptions>
  <language>
          en
        </language>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsOriginalFormOf">10.35097/aj4ve1c03pkan0dr</relatedIdentifier>
  </relatedIdentifiers>
  <fundingReferences>
    <fundingReference>
      <funderName>Fachagentur Nachwachsende Rohstoffe</funderName>
      <funderIdentifier funderIdentifierType="ROR" schemeURI="https://ror.org/">https://ror.org/0137dsz97</funderIdentifier>
      <awardNumber awardURI="">2220HV048A</awardNumber>
      <awardTitle>Altholzgewinnung aus Sperrmüll durch künstliche Intelligenz und Bildverarbeitung im VIS-, IR- und Terahertz-Bereich</awardTitle>
    </fundingReference>
  </fundingReferences>
  <sizes>
    <size>136,0 GB</size>
  </sizes>
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    <format>application/x-tar</format>
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