<?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>2026-05-23T21:47:04Z</responseDate><request identifier="10.48606/18h2w28a9d6sm1eq" metadataPrefix="datacite" verb="GetRecord">https://www.radar-service.eu/oai/OAIHandler</request><GetRecord><record><header><identifier>10.48606/18h2w28a9d6sm1eq</identifier><datestamp>2026-04-24T07:41:52Z</datestamp></header><metadata><resource xmlns="http://datacite.org/schema/kernel-4"
          xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
          xsi:schemaLocation="http://datacite.org/schema/kernel-4 https://schema.datacite.org/meta/kernel-4.4/metadata.xsd">
   <identifier identifierType="DOI">10.48606/18h2w28a9d6sm1eq</identifier>
   <creators>
      <creator>
         <creatorName>Fialho Jesus, André</creatorName>
         <givenName>André</givenName>
         <familyName>Fialho Jesus</familyName>
         <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0009-0001-7490-2133</nameIdentifier>
         <affiliation affiliationIdentifier="https://ror.org/0546hnb39"
                      affiliationIdentifierScheme="ROR"
                      schemeURI="https://ror.org/">University of Konstanz</affiliation>
      </creator>
      <creator>
         <creatorName>Kuckling, Jonas</creatorName>
         <givenName>Jonas</givenName>
         <familyName>Kuckling</familyName>
         <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-2391-2275</nameIdentifier>
         <affiliation affiliationIdentifier="https://ror.org/0546hnb39"
                      affiliationIdentifierScheme="ROR"
                      schemeURI="https://ror.org/">University of Konstanz</affiliation>
      </creator>
   </creators>
   <titles>
      <title>Positions and features of collective behaviour</title>
   </titles>
   <publisher>University of Konstanz</publisher>
   <dates>
      <date dateType="Created">2025</date>
   </dates>
   <publicationYear>2026</publicationYear>
   <subjects>
      <subject>Computer Science</subject>
      <subject>Swarm Robotics</subject>
      <subject>Features of collective behaviour</subject>
   </subjects>
   <resourceType resourceTypeGeneral="Dataset"/>
   <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>Fialho Jesus, André</contributorName>
         <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="https://orcid.org/">0009-0001-7490-2133</nameIdentifier>
      </contributor>
   </contributors>
   <descriptions>
      <description descriptionType="Abstract">This data package contains simulation trajectories of 6 different collective behaviours, namely: Reynolds flocking, Vicsek flocking, aggregation, dispersion, ballistic random walk and Brownian random walk. From the collective behaviours simulation trajectories, we apply 4 feature sets in order to summarise the original trajectories, one simulation step at a time.</description>
   </descriptions>
   <relatedIdentifiers>
      <relatedIdentifier relatedIdentifierType="URL" relationType="IsSupplementTo">https://github.com/alfjesus3/swarm_behaviour_sim/tree/v_ants26</relatedIdentifier>
   </relatedIdentifiers>
   <fundingReferences>
      <fundingReference>
         <funderName>Carl Zeiss Foundation</funderName>
         <funderIdentifier funderIdentifierType="ROR" schemeURI="https://ror.org/">https://ror.org/03ng4kg22</funderIdentifier>
         <awardNumber awardURI="">P2023-09-036</awardNumber>
         <awardTitle>Explainable Swarm Programming through Imitation Learning</awardTitle>
      </fundingReference>
   </fundingReferences>
   <sizes>
      <size/>
   </sizes>
   <formats>
      <format>application/x-tar</format>
   </formats>
</resource></metadata></record></GetRecord></OAI-PMH>