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 Institute of Pharmaceutical Sciences, 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 


# 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-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
  url: https://creativecommons.org/licenses/by-nc-sa/4.0/

# Any additional information. It is best practice to supply a description for the resource.
description: |
  Excel file containing the raw data sets used to generate the data/figures in Neumann et al (2020) The α2/α3GABAA receptor modulator TPA023B alleviates not only the sensory but also the tonic affective component of chronic pain in mice 

## 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: "DOI:10.1097/j.pain.0000000000002030"
    reftype: IsSupplementTo
    citation: Neumann et., Pain 2020


# 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