# 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"
    lastname: "Kloubert"
    affiliation: "University Hospital Cologne"

  -
    firstname: "Markus"
    lastname: "Aswendt"
    affiliation: "University Hospital Cologne"
    id: "ORCID:0000-0003-1423-0934"
  -
    firstname: "Frederique"
    lastname: "Wieters"
    affiliation: "University Hospital Cologne"

# A title to describe the published resource.
title: "Automated movement analysis of mouse beam walking using neural networks"

# Additional information about the resource, e.g., a brief abstract.
description: "This storage contains the whole data and results of the evaluation
whether the software package DeepLabCut (DLC) is able to sufficiently label and
thus automate the analysis of videos of mice performing the behavior test Rotating Beam.
The post-processing was performed via R. 
The software package DeepLabCut is able to collect all important data for the automated
analysis of the behavior test Rotating Beam and has sufficient accuracy to use the collected
data to provide results to a scientific study. The comparison to the manual raters showed that
the predictions of DeepLabCut are a good generalization not influenced by human bias. 
This allows to extend  the usage to advanced analyses with more complex parameters."


# Lit of keywords the resource should be associated with.
# Give as many keywords as possible, to make the resource findable.
keywords:
  - Neuroscience
  - DLC
  - Rotating Beam

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



## Optional Fields

# Funding information for this resource.
# Separate funder name and grant number by comma.


# 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.

# 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