Ralvenius-NatCommun-2018/datacite2.yml

# Required fields
# The main researchers involved working on the resource,
# or the authors of the publication in priority order.
# May be a corporate/institutional or personal name.
# Include digital identifier (e.g., ORCID) if possible
authors:
  -
    firstname: "William T."
    lastname: "Ralvenius"
    affiliation: "Institute of Pharmacology and Toxicology, University of Zürich"
    
  -
    firstname: "Elena"
    lastname: "Neumann"
    affiliation: "Institute of Pharmacology and Toxicology, University of Zürich"
  -
    firstname: "Hanns Ulrich"
    lastname: "Zeilhofer"
    affiliation: "Institute of Pharmacology and Toxicology, University of ZürichInstitute of Pharmacology and Toxicology, University of Zürich"

# A name or title to describe the published resource.
title: "Suppression of Itch in Mice and Dogs by Selective Modulation of Spinal α2/α3 GABAA Receptors"

# Any additional information. It is best practice to supply a description for the resource.
description: |
  "Excel files of the morphological, electrophysiological and behavioral data sets included in Ralvenius et al (2018) Suppression of Itch in Mice and Dogs by Selective Modulation of Spinal α2/α3 GABAA Receptors". 

# List of keywords the resource should be associated with.
keywords:
  - Neuroscience
  - Itch
  - GABA
  - Spinal Cord

# Any rights information for this resource. Please provide both a license name and a link to the license.
# Please add also a 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

# Any funding reference for this resource. Separate funder name and grant number by comma
funding:
  - "SNSF, 156393"
  - "EU, ERC-2009-AdG, DHISP 250128"
  - "DFG, NE 2126/1-1"
  - "Stavros Niarchos Foundation"

# Related publications. reftype might be: IsCitedBy, IsSupplementTo, IsReferencedBy, IsPartOf
# for further valid types see https://schema.datacite.org/meta/kernel-4
# Please provide digital identifier (e.g., DOI) if possible.
references:
  

# Type of the data in this repository (Dataset, Model, Software, Other see
# https://schema.datacite.org/meta/kernel-4.1/doc/DataCite-MetadataKernel_v4.1.pdf
# for examples
dtype: Dataset