covid19_soccer_data/datacite.yml

# 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