Neumann_PAIN_2020/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: Elena
    lastname: Neumann
    affiliation: Institute of Pharmacology and Toxicology, University of Zurich
  -
    firstname: Laura
    lastname: Küpfer
    affiliation: Institute of Pharmacology and Toxicology, University of Zurich
  -
    firstname: Hanns Ulrich
    lastname: Zeilhofer
    affiliation: Institute of Pharmacology and Toxicology, University of Zurich, and ETH Zürich

# A title to describe the published resource.
title: The α2/α3GABAA receptor modulator TPA023B alleviates not only the sensory but also the tonic affective component of chronic pain in mice 

# Additional information about the resource, e.g., a brief abstract.
description: |
  Example description
  that can contain linebreaks
  but has to maintain indentation.

# List of keywords the resource should be associated with.
# Give as many keywords as possible, to make the resource findable.
keywords:
  - Analgesia
  - Neuropathic pain
  - Inflammatory pain
  - GABA
  - Benzodiazepine
  - Sub-type selective
  - Disinhibition
  - Conditioned place preference
  - Chronic constriction injury
  - Mouse grimace scale

# 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 Attribution-Non-Commercial-No Derivaties License 4.0 (CCB-NC-ND)
  url: https://creativecommons.org/licenses/by-nc-nd/4.0/



## Optional Fields

# Funding information for this resource.
# Separate funder name and grant number by comma.
funding:
  - DFG, NE 2126/1-1
  - SNSF, 131093


# 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:
  -
    id: 10.1097/j.pain.0000000000002030
    reftype: original publication


# 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