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Hornung, Daniel
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Hornung, Daniel
Official Name
Hornung, Daniel
Alternative Name
Hornung, D.
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Scopus Author ID
49963587800
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2015Journal Article Overview [["dc.bibliographiccitation.artnumber","042920"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","Physical Review. E"],["dc.bibliographiccitation.volume","92"],["dc.contributor.author","Spreckelsen, Florian"],["dc.contributor.author","Hornung, Daniel"],["dc.contributor.author","Steinbock, Oliver"],["dc.contributor.author","Parlitz, Ulrich"],["dc.contributor.author","Luther, Stefan"],["dc.date.accessioned","2018-11-07T09:50:03Z"],["dc.date.available","2018-11-07T09:50:03Z"],["dc.date.issued","2015"],["dc.description.abstract","Scroll waves in a three-dimensional medium with negative filament tension may break up and display spatiotemporal chaos. The presence of heterogeneities can influence the evolution of the medium, in particular scroll waves may pin to such heterogeneities. We show that as a result the medium may be stabilized by heterogeneities of a suitably chosen geometry. Thin rodlike heterogeneities suppress otherwise developing spatiotemporal chaos and additionally clear out already existing chaotic excitation patterns."],["dc.identifier.doi","10.1103/PhysRevE.92.042920"],["dc.identifier.isi","000363242700008"],["dc.identifier.pmid","26565317"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/35630"],["dc.identifier.url","https://sfb1002.med.uni-goettingen.de/production/literature/publications/95"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.relation","SFB 1002: Modulatorische Einheiten bei Herzinsuffizienz"],["dc.relation","SFB 1002 | C03: Erholung nach Herzinsuffizienz: Analyse der transmuralen mechano-elektrischen Funktionsstörung"],["dc.relation.issn","2470-0053"],["dc.relation.issn","2470-0045"],["dc.relation.workinggroup","RG Luther (Biomedical Physics)"],["dc.title","Stabilization of three-dimensional scroll waves and suppression of spatiotemporal chaos by heterogeneities"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.subtype","overview_ja"],["dspace.entity.type","Publication"]]Details DOI PMID PMC WOS2018-01-23Preprint [["dc.contributor.author","Fitschen, Timm"],["dc.contributor.author","Schlemmer, Alexander"],["dc.contributor.author","Hornung, Daniel"],["dc.contributor.author","tom Wörden, Henrik"],["dc.contributor.author","Parlitz, Ulrich"],["dc.contributor.author","Luther, Stefan"],["dc.date.accessioned","2022-05-13T10:03:07Z"],["dc.date.available","2022-05-13T10:03:07Z"],["dc.date.issued","2018-01-23"],["dc.description.abstract","Here we present CaosDB, a Research Data Management System (RDMS) designed to ensure seamless integration of inhomogeneous data sources and repositories of legacy data. Its primary purpose is the management of data from biomedical sciences, both from simulations and experiments during the complete research data lifecycle. An RDMS for this domain faces particular challenges: Research data arise in huge amounts, from a wide variety of sources, and traverse a highly branched path of further processing. To be accepted by its users, an RDMS must be built around workflows of the scientists and practices and thus support changes in workflow and data structure. Nevertheless it should encourage and support the development and observation of standards and furthermore facilitate the automation of data acquisition and processing with specialized software. The storage data model of an RDMS must reflect these complexities with appropriate semantics and ontologies while offering simple methods for finding, retrieving, and understanding relevant data. We show how CaosDB responds to these challenges and give an overview of the CaosDB Server, its data model and its easy-to-learn CaosDB Query Language. We briefly discuss the status of the implementation, how we currently use CaosDB, and how we plan to use and extend it."],["dc.identifier.arxiv","1801.07653"],["dc.identifier.doi","10.3390/data4020083"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/107868"],["dc.identifier.url","https://sfb1002.med.uni-goettingen.de/production/literature/publications/199"],["dc.relation","SFB 1002: Modulatorische Einheiten bei Herzinsuffizienz"],["dc.relation","SFB 1002 | C03: Erholung nach Herzinsuffizienz: Analyse der transmuralen mechano-elektrischen Funktionsstörung"],["dc.relation.workinggroup","RG Luther (Biomedical Physics)"],["dc.title","CaosDB - Research Data Management for Complex, Changing, and Automated Research Workflows"],["dc.type","preprint"],["dc.type.internalPublication","unknown"],["dspace.entity.type","Publication"]]Details DOI2019Journal Article Research Paper [["dc.bibliographiccitation.firstpage","83"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","Data"],["dc.bibliographiccitation.volume","4"],["dc.contributor.author","Fitschen, Timm"],["dc.contributor.author","Schlemmer, Alexander"],["dc.contributor.author","Hornung, Daniel"],["dc.contributor.author","tom Wörden, Henrik"],["dc.contributor.author","Parlitz, Ulrich"],["dc.contributor.author","Luther, Stefan"],["dc.date.accessioned","2020-12-10T18:47:01Z"],["dc.date.available","2020-12-10T18:47:01Z"],["dc.date.issued","2019"],["dc.description.abstract","Here we present CaosDB, a Research Data Management System (RDMS) designed to ensure seamless integration of inhomogeneous data sources and repositories of legacy data. Its primary purpose is the management of data from biomedical sciences, both from simulations and experiments during the complete research data lifecycle. An RDMS for this domain faces particular challenges: Research data arise in huge amounts, from a wide variety of sources, and traverse a highly branched path of further processing. To be accepted by its users, an RDMS must be built around workflows of the scientists and practices and thus support changes in workflow and data structure. Nevertheless it should encourage and support the development and observation of standards and furthermore facilitate the automation of data acquisition and processing with specialized software. The storage data model of an RDMS must reflect these complexities with appropriate semantics and ontologies while offering simple methods for finding, retrieving, and understanding relevant data. We show how CaosDB responds to these challenges and give an overview of the CaosDB Server, its data model and its easy-to-learn CaosDB Query Language. We briefly discuss the status of the implementation, how we currently use CaosDB, and how we plan to use and extend it."],["dc.identifier.doi","10.3390/data4020083"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/16675"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/78611"],["dc.identifier.url","https://sfb1002.med.uni-goettingen.de/production/literature/publications/275"],["dc.language.iso","en"],["dc.notes","GRO-Red/ SW 8.5.2020: Geprüft. Keine Anpassung erforderlich, da Preprint im Volltext verfügbar."],["dc.notes.intern","DOI Import GROB-354"],["dc.notes.intern","Merged from goescholar"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","final"],["dc.relation","SFB 1002: Modulatorische Einheiten bei Herzinsuffizienz"],["dc.relation","SFB 1002 | C03: Erholung nach Herzinsuffizienz: Analyse der transmuralen mechano-elektrischen Funktionsstörung"],["dc.relation.eissn","2306-5729"],["dc.relation.orgunit","Fakultät für Physik"],["dc.relation.workinggroup","RG Luther (Biomedical Physics)"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0/"],["dc.title","CaosDB—Research Data Management for Complex, Changing, and Automated Research Workflows"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]Details DOI