12345678910111213141516171819202122232425262728293031323334353637383940414243444546474849505152535455565758596061626364656667686970 |
- # 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
|