July 22, 2023 Software Open Access

Sturm, Dominik; Maddu, Suryanarayana; Sbalzarini, Ivo F.

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">10.14278/rodare.2379</identifier>
  <creators>
    <creator>
      <creatorName>Sturm, Dominik</creatorName>
      <givenName>Dominik</givenName>
      <familyName>Sturm</familyName>
      <affiliation>TU Dresden, Dresden, Germany; Center for Advanced Systems Understanding (CASUS), Görlitz, Germany; Helmholtz-Zentrum Dresden-Rossendorf (HDZR), Dresden, Germany</affiliation>
    </creator>
    <creator>
      <creatorName>Maddu, Suryanarayana</creatorName>
      <givenName>Suryanarayana</givenName>
      <familyName>Maddu</familyName>
      <affiliation>Center for Computational Biology, Flatiron Institute, New York, USA; NSF-Simons Center for Mathematical &amp; Statistical Analysis of Biology, Harvard University, Boston, USA</affiliation>
    </creator>
    <creator>
      <creatorName>Sbalzarini, Ivo F.</creatorName>
      <givenName>Ivo F.</givenName>
      <familyName>Sbalzarini</familyName>
      <affiliation>TU Dresden, Dresden, Germany; Max Planck Institute for Molecular Cell Biology and Genetics (MPI-CBG), Dresden, Germany; Center for Systems Biology Dresden, Dresden, Germany</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Codes, Models and Data for Learning locally dominant force balances in active particle systems</title>
  </titles>
  <publisher>Rodare</publisher>
  <publicationYear>2023</publicationYear>
  <dates>
    <date dateType="Issued">2023-07-22</date>
  </dates>
  <resourceType resourceTypeGeneral="Software"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://rodare.hzdr.de/record/2379</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsIdenticalTo">https://www.hzdr.de/publications/Publ-37298</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsReferencedBy">https://www.hzdr.de/publications/Publ-34822</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.14278/rodare.2378</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://rodare.hzdr.de/communities/rodare</relatedIdentifier>
  </relatedIdentifiers>
  <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;Here, we provide all the codes, models and datasets for the submission &amp;quot;Learning locally dominant force balances in active particle systems&amp;quot;.&lt;/p&gt;</description>
  </descriptions>
</resource>