dc.contributor.author | Donges, Jonathan F. | |
dc.contributor.author | Heitzig, Jobst | |
dc.contributor.author | Beronov, Boyan | |
dc.contributor.author | Wiedermann, Marc | |
dc.contributor.author | Runge, Jakob | |
dc.contributor.author | Feng, Qing Yi | |
dc.contributor.author | Tupikina, Liubov | |
dc.contributor.author | Stolbova, Veronika | |
dc.contributor.author | Donner, Reik V. | |
dc.contributor.author | Marwan, Norbert | |
dc.contributor.author | Dijkstra, Henk A. | |
dc.contributor.author | Kurths, Jürgen | |
dc.date.accessioned | 2015-12-21T16:09:03Z | |
dc.date.available | 2015-12-21T16:09:03Z | |
dc.date.issued | 2015-11 | |
dc.identifier | 57967093 | |
dc.identifier | 14ef2e1b-f9a6-4ba9-b8a8-66a200256421 | |
dc.identifier | 84946600450 | |
dc.identifier.citation | Donges , J F , Heitzig , J , Beronov , B , Wiedermann , M , Runge , J , Feng , Q Y , Tupikina , L , Stolbova , V , Donner , R V , Marwan , N , Dijkstra , H A & Kurths , J 2015 , ' Unified functional network and nonlinear time series analysis for complex systems science : The pyunicorn package ' , Chaos , vol. 25 , no. 11 , 113101 . https://doi.org/10.1063/1.4934554 | en |
dc.identifier.issn | 1054-1500 | |
dc.identifier.other | ArXiv: http://arxiv.org/abs/1507.01571v1 | |
dc.identifier.uri | http://hdl.handle.net/2164/5305 | |
dc.description | 28 pages, 16 figures ACKNOWLEDGMENTS This work has been financially supported by the Leibniz association (project ECONS), the German National Academic Foundation, the Federal Ministry for Education and Research (BMBF) via the Potsdam Research Cluster for Georisk Analysis, Environmental Change and Sustainability (PROGRESS), the BMBF Young Investigators Group CoSy-CC2 (grant no. 01LN1306A), BMBF project GLUES, the Stordalen Foundation, IRTG 1740 (DFG) and Marie-Curie ITN LINC (P7-PEOPLE-2011-ITN, grant No. 289447). We thank Kira Rehfeld and Nora Molkenthin for helpful discussions. Hanna C.H. Schultz, Alraune Zech, Jan H. Feldhoff, Aljoscha Rheinwalt, Hannes Kutza, Alexander Radebach, Alexej Gluschkow, Paul Schultz, and Stefan Schinkel are acknowledged for contributing to the development of pyunicorn at different stages. We thank all those people who have helped improving the software by testing, using, and commenting on it. pyunicorn is available at https://github.com/pik-copan/pyunicorn as a part of PIK’s TOCSY toolbox. The distribution includes an extensive online documentation system with the detailed API documentation also being available in the PDF format (Supplementary Material). The software description in this article as well as in the Supplementary Material are based on the pyunicorn release version 0.5.0. | en |
dc.format.extent | 10530536 | |
dc.language.iso | eng | |
dc.relation.ispartof | Chaos | en |
dc.subject | physics.data-an | en |
dc.subject | physics.ao-ph | en |
dc.subject | QC Physics | en |
dc.subject.lcc | QC | en |
dc.title | Unified functional network and nonlinear time series analysis for complex systems science : The pyunicorn package | en |
dc.type | Journal article | en |
dc.contributor.institution | University of Aberdeen.Physics | en |
dc.contributor.institution | University of Aberdeen.Institute for Complex Systems and Mathematical Biology (ICSMB) | en |
dc.description.status | Peer reviewed | en |
dc.identifier.doi | 10.1063/1.4934554 | |