# 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: "Lucas"
    lastname: "Wahl"
    affiliation: "Department of Neuroscience, Erasmus Medical Center Rotterdam, The Netherlands"
    id: "ORCID:0000-0002-8078-5113"
  -
    firstname: "Mattijs"
    lastname: "Punt"
    affiliation: "Department of Clinical Genetics, Erasmus Medical Center Rotterdam, The Netherlands"
    id: "ORCID:0000-0002-5730-7666"
  -
    firstname: "Tara"
    lastname: "Arbab"
    affiliation: "Netherlands Institute for Neuroscience, Royal Netherlands Academy of Arts and Sciences, Amsterdam, Netherlands & Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands"
    id: "ORCID:0000-0002-7294-7223"
  -
    firstname: "Ingo"
    lastname: "Willuhn"
    affiliation: "Netherlands Institute for Neuroscience, Royal Netherlands Academy of Arts and Sciences, Amsterdam, Netherlands & Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands"
    id: "ORCID:0000-0001-6540-6894"
  -
    firstname: "Ype"
    lastname: "Elgersma"
    affiliation: "Department of Clinical Genetics, Erasmus Medical Center Rotterdam, The Netherlands"
    id: "ORCID:0000-0002-3758-1297"
  -
    firstname: "Aleksandra"
    lastname: "Badura"
    affiliation: "Department of Neuroscience, Erasmus Medical Center Rotterdam, The Netherlands"
    id: "ORCID:0000-0002-0119-5108"
    

# A title to describe the published resource.
title: "Marble burying classifier and supporting files"

# Additional information about the resource, e.g., a brief abstract.

description: |
  Classifier and supporting files for: A novel automated approach for improving standardization of the marble burying test enables quantification of burying bouts and activity characteristics



# Lit of keywords the resource should be associated with.
# Give as many keywords as possible, to make the resource findable.
keywords:
  - Neuroscience
  - Marble burying
  - Machine learning
  - Automated classification

# 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 CC0 1.0 Public Domain Dedication"
  url: "https://creativecommons.org/publicdomain/zero/1.0/"



## Optional Fields



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

- "NWO,VIDI/917.18.380,2018/ZonMw - AB"
- "NWO,VIDI 864.14.010,2015/06367/ALW - IW"
- "NWO,Gravitation program BRAINSCAPES 024.004.012 - IW"
- "the Foundation for OCD Research, IW"
- "Amsterdam Brain and Cognition (ABC), Project Grant 2021 - TA and IW"

# 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::tba"
     reftype: "IsSupplementTo"
     citation: "A novel automated approach for improving standardization of the marble burying test enables quantification of burying bouts and activity characteristics, Lucas Wahl, A. Mattijs Punt, Tara Arbab, Ingo Willuhn, Ype Elgersma, Aleksandra Badura"
     


# 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