March 13, 2022 Dataset Open Access

Khan, Faheem; Radoi, Emanuel

DataCite XML Export

<?xml version='1.0' encoding='utf-8'?>
<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">10.5281/zenodo.7426248</identifier>
  <creators>
    <creator>
      <creatorName>Khan, Faheem</creatorName>
      <givenName>Faheem</givenName>
      <familyName>Khan</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-8754-6297</nameIdentifier>
      <affiliation>Université de Brest</affiliation>
    </creator>
    <creator>
      <creatorName>Radoi, Emanuel</creatorName>
      <givenName>Emanuel</givenName>
      <familyName>Radoi</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-0819-6285</nameIdentifier>
      <affiliation>Université de Brest</affiliation>
    </creator>
  </creators>
  <titles>
    <title>UWB-IODA project: Datasets associated to WP3</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2022</publicationYear>
  <subjects>
    <subject>impulse radio ultrawideband, human detection and localization, smart factory, multi-path, mono-static radar array, smart sensing, collision avoidance</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2022-03-13</date>
  </dates>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/7426248</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.6350258</relatedIdentifier>
  </relatedIdentifiers>
  <version>v1.0</version>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;Measured IR-UWB data files corresponding to WP3 of the UWB-IODA project. The detailed description of the experimental setup and associated signal processing algorithms is provided at&amp;nbsp;https://hal.archives-ouvertes.fr/hal-03582174.&lt;/p&gt;</description>
    <description descriptionType="Other">The related project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 838037.
The content of this dataset reflects only the authors' view and the Research Executive Agency is not responsible for any use that may be made of the information it contains.</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/100010661</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/838037/">838037</awardNumber>
      <awardTitle>Ultra Wide Band Integrated Optical-and-Digital Approach for Smart Factory and Perceptive Car</awardTitle>
    </fundingReference>
  </fundingReferences>
</resource>