vocal_usage_learning/datacite.yml

# Required fields
# The main researchers involved working on the resource,
# or the authors of the publication in priority order.
# May be a corporate/institutional or personal name.
# Include digital identifier (e.g., ORCID) if possible
authors:
  -
    firstname: "Ella"
    lastname: "Lattenkamp"
    affiliation: "Division of Neurobiology, Ludwig-Maximilians University Munich"
    id: "AuthorID1 (e.g. ORCID)"
  -
    firstname: "Sonja"
    lastname: "Vernes"
    affiliation: "Neurogenetics of Vocal Communication Group, Max Planck Institute for Psycholinguistics, Nijmegen"
  -
    firstname: "Lutz"
    lastname: "Wiegrebe"

# A name or title to describe the published resource.
title: "usage learning in bats"

# Any additional information. It is best practice to supply a description for the resource.
description: |
  The usage_learning zip file contains the raw recording data presented in this manuscript 
  and the analysis file to detect calls in these recordings and extract their acoustic call parameters. 
  The output of the analysis file are the statistical results and plot of the data for the selected individual.
  The private folder and the yin.m file are supplementary files necessary for the analysis script to work. 

# List of keywords the resource should be associated with.
keywords:
  - Neuroscience
  - Neuroethology
  - vocal learning
  - bats
  - contextual learning
  - social calls
  - vocal conditioning
  - selective reinforcement
  - communication

# Any rights information for this resource. Please provide both a license name and a link to the license.
# Please add also a 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

# Any funding reference for this resource. Separate funder name and grant number by comma
funding:
  - "HPSP RGP0058/2016"

# Related publications. reftype might be: IsCitedBy, IsSupplementTo, IsReferencedBy, IsPartOf
# for further valid types see https://schema.datacite.org/meta/kernel-4
# Please provide digital identifier (e.g., DOI) if possible.
references:

# Type of the data in this repository (Dataset, Model, Software, Other see
# https://schema.datacite.org/meta/kernel-4.1/doc/DataCite-MetadataKernel_v4.1.pdf
# for examples
dtype: Dataset