# Metadata for DOI registration according to DataCite Metadata Schema 4.1. # For detailed schema description see https://doi.org/10.5438/0014 ## Required fields # The main researchers involved. Include digital identifier (e.g., ORCID) # if possible, including the prefix to indicate its type. authors: - firstname: "Sebastian B." lastname: "Mohr" affiliation: "Max Planck Institute for Dynamics and Self-Organization, Am Faßberg 17, 37077 Göttingen, Germany" id: "ORCID:0000-0002-4721-0561" - firstname: "Jonas" lastname: "Dehning" affiliation: "Max Planck Institute for Dynamics and Self-Organization, Am Faßberg 17, 37077 Göttingen, Germany" id: "ORCID:0000-0002-1728-2505" - firstname: "Sebastian" lastname: "Contreras" affiliation: "Max Planck Institute for Dynamics and Self-Organization, Am Faßberg 17, 37077 Göttingen, Germany" id: "ORCID:0000-0001-8909-774X" - firstname: "Philipp" lastname: "Dönges" affiliation: "Max Planck Institute for Dynamics and Self-Organization, Am Faßberg 17, 37077 Göttingen, Germany" id: "ORCID:0000-0003-4275-7311" - firstname: "Emil" lastname: "Iftekhar" affiliation: "Max Planck Institute for Dynamics and Self-Organization, Am Faßberg 17, 37077 Göttingen, Germany" id: "ORCID:0000-0003-0188-500X" - firstname: "Oliver" lastname: "Schulz" affiliation: "Max Planck Institute for Physics, Föhringer Ring 6, 80805 München, Germany" - firstname: "Philip" lastname: "Bechtle" affiliation: "Physikalisches Institut, Universität Bonn, Nußallee 12, 53115 Bonn, Germany" id: "ORCID:0000-0003-3479-2221" - firstname: "Viola" lastname: "Priesemann" affiliation: "Max Planck Institute for Dynamics and Self-Organization, Am Faßberg 17, 37077 Göttingen, Germany;Institute for the Dynamics of Complex Systems, University of Göttingen, Friedrich-Hund-Platz 1, 37077" id: "ORCID:0000-0001-8905-5873" # A title to describe the published resource. title: "Sampling data: Inference of the impact of large-scale sports events on COVID-19 spread" # Additional information about the resource, e.g., a brief abstract. description: | Dataset to reproduce the publication: The impact of large-scale sports events on COVID-19 spread # Lit of keywords the resource should be associated with. # Give as many keywords as possible, to make the resource findable. keywords: - COVID - COVID-19 - SPORT - SPREAD - MCMC - PYMC3 - SOCCER - FOOTBALL - UEFA - EURO2020 # License information for this resource. Please provide the license name and/or a link to the license. # Please add also a corresponding LICENSE file to the repository. license: name: "Creative Commons CC0 1.0 Public Domain Dedication" url: "https://creativecommons.org/publicdomain/zero/1.0/" ## Optional Fields # Funding information for this resource. # Separate funder name and grant number by comma. funding: - "egePan, 01KX2021" - "DFG, NFDI 39/1" - "DFG, crc1456-inf" # Related publications. reftype might be: IsSupplementTo, IsDescribedBy, IsReferencedBy. # Please provide digital identifier (e.g., DOI) if possible. # Add a prefix to the ID, separated by a colon, to indicate the source. # Supported sources are: DOI, arXiv, PMID # In the citation field, please provide the full reference, including title, authors, journal etc. references: # Resource type. Default is Dataset, other possible values are Software, DataPaper, Image, Text. resourcetype: Dataset # Do not edit or remove the following line templateversion: 1.2