<?xml version='1.0' encoding='UTF-8'?><codeBook xmlns="ddi:codebook:2_5" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="ddi:codebook:2_5 https://ddialliance.org/Specification/DDI-Codebook/2.5/XMLSchema/codebook.xsd" version="2.5"><docDscr><citation><titlStmt><titl>Dynamic Synchronization Toolbox</titl><IDNo agency="DOI">doi:10.26165/JUELICH-DATA/BRXHZ9</IDNo></titlStmt><distStmt><distrbtr source="archive">Jülich DATA</distrbtr><distDate>2021-09-02</distDate></distStmt><verStmt source="DVN"><version date="2022-05-11" type="RELEASED">2</version></verStmt><biblCit>Rosjat, Nils, 2021, "Dynamic Synchronization Toolbox", https://doi.org/10.26165/JUELICH-DATA/BRXHZ9, Jülich DATA, V2</biblCit></citation></docDscr><stdyDscr><citation><titlStmt><titl>Dynamic Synchronization Toolbox</titl><IDNo agency="DOI">doi:10.26165/JUELICH-DATA/BRXHZ9</IDNo></titlStmt><rspStmt><AuthEnty>Rosjat, Nils</AuthEnty></rspStmt><prodStmt/><distStmt><distrbtr source="archive">Jülich DATA</distrbtr><contact email="n.rosjat@fz-juelich.de">Rosjat, Nils</contact><depositr>Rosjat, Nils</depositr><depDate>2021-09-01</depDate></distStmt></citation><stdyInfo><subject><keyword>Medicine, Health and Life Sciences</keyword></subject><abstract date="2021-09-01">Implementation of generalized scripts as they were used for analysis of: Stimulus transformation into motor action: dynamic graph analysis reveals a posterior-to-anterior shift in brain network communication of older subjects", https://doi.org/10.26165/JUELICH-DATA/T1PKNZ, Jülich DATA, V1</abstract><sumDscr/></stdyInfo><method><dataColl><sources/></dataColl><anlyInfo/></method><dataAccs><notes type="DVN:TOU" level="dv">BSD 3-Clause License&#xd;
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OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.</notes><setAvail/><useStmt/></dataAccs><othrStdyMat><relPubl><citation><titlStmt><IDNo agency="doi">10.1002/hbm.25313</IDNo></titlStmt><biblCit>Rosjat, N., Wang, B. A., Liu, L., Fink, G. R., &amp; Daun, S. (2021). Stimulus transformation into motor action: Dynamic graph analysis reveals a posterior‐to‐anterior shift in brain network communication of older subjects. 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