Ammer_et_al_2023/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: "Georg"
    lastname: "Ammer"
    affiliation: "Max Planck Institute for Biological Intelligence"
  -
    firstname: "Etienne"
    lastname: "Serbe-Kamp"
    affiliation: "Max Planck Institute for Biological Intelligence"
  -
    firstname: "Alex"
    lastname: "Mauss"
    affiliation: "Max Planck Institute for Biological Intelligence"
  -
    firstname: "Florian"
    lastname: "Richter"
    affiliation: "Max Planck Institute for Biological Intelligence"
  -
    firstname: "Sandra"
    lastname: "Fendl"
    affiliation: "Max Planck Institute for Biological Intelligence"
  -
    firstname: "Alexander"
    lastname: "Borst"
    affiliation: "Max Planck Institute for Biological Intelligence"

# A title to describe the published resource.
title: "Data and code for 'Multilevel visual motion opponency in Drosophila'"

# Additional information about the resource, e.g., a brief abstract.
description: |
  This resource includes data and code for the paper 
  'Multilevel visual motion opponency in Drosophila, Nature Neuroscience, 2023'.

# Lit of keywords the resource should be associated with.
# Give as many keywords as possible, to make the resource findable.
keywords:
  - Neuroscience
  - Motion vision
  - Drosophila

# 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:
  - "Max Planck Society"


# references: Digital resources related to this publication, such as research articles, data, or code
# If this publication is supplement to a research paper, a reference to the paper is mandatory.
#
#  id: Please provide digital identifier (e.g., DOI, arXiv, PMID, URL) if possible.
#   Add a prefix to the ID, separated by a colon, to indicate the type of identifier.
#   If assignment of an identifier is pending, enter "doi:tba" as placeholder.
#
#  reftype: The relationship of this publication to the referenced resource.
#   IsSupplementTo: to reference a research paper that is supplemented by this publication
#   IsDescribedBy: to reference a data descriptor of a dataset publication
#   IsReferencedBy: to reference code or other resources that use this publication.
#   (for further reftypes see the Datacite schema description https://doi.org/10.5438/0014) 
#
#  citation: Please provide the full reference, including title, authors, journal etc., like in the reference section of a paper.
#   If an unpublished manuscript is referenced, enter as much citation information as available, and update when the paper is published.
#
references:
  -
    id: "doi:10.1038/s41593-023-01443-z"
    reftype: "IsSupplementTo"
    citation: "Ammer G, Serbe-Kamp E, Mauss AS, Richter FG, Fendl S, Borst A (2023) Multilevel visual motion opponency in Drosophila. Nature Neuroscience, in press"


# 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