Hariharan_CurrentBio2024_CerebellumDataset/datacite.yml

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## Required fields

# authors: The researchers involved.
# Include digital identifier (e.g., ORCID) if possible, including the prefix to indicate its type.
# All authors listed here need to have agreed to the publication.
authors:
  -
    firstname: Shivani
    lastname: 'Hariharan'
    affiliation: 'Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society, Frankfurt am Main, Germany'
    id: 'ORCID:0009-0000-5467-3858'
  -
    affiliation: 'Institute of Cell Biology and Neuroscience,Goethe University Frankfurt, Frankfurt am Main, Germany'
    firstname: Eugenia González
    id: 'ORCID:0000-0003-3086-7601'
    lastname: 'Palomares'
  -
    firstname: Susanne S. 
    lastname: 'Babl'
    affiliation: 'Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society, Frankfurt am Main, Germany'
    id: 'ORCID:0000-0003-4818-2782'
  -
    firstname: Luciana Lopez
    lastname: 'Jury'
    affiliation: 'Max Planck Institute for Brain Research,Frankfurt am Main, Germany'
    id: 'ORCID:0000-0002-9384-2586'
  -
    firstname: Julio C. 
    lastname: 'Hechavarria'
    affiliation: 'Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society, Frankfurt am Main, Germany'
    id: 'ORCID:0000-0001-9277-2339'

# title: A title to identify the published resource.
title: "Cerebellar activity predicts vocalization in fruit bats"

# description: A brief abstract describing the resource.
description: |
  Neural correlate of vocal production within the bat cerebellum: This dataset contains neural recordings from the cerebellum of fruit-eating bats during vocalizations,
  including both echolocation and social calls. The data is stored in Matlab files and includes Local Field
  Potentials (LFP) and spike count data from 224 channels, organized by stimulus levels and frequencies.
  Additionally, the dataset provides vocalization call parameters and classification data for echo and
  communication calls. The data is structured to support analysis of neural activity associated with
  vocal production using tools like Support Vector Machines (SVM) for classification of spiking and LFP responses.

# keywords: List of keywords for the resource.
# Provide as many keywords as possible, to make the resource findable.
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keywords:
  - Neuroscience
  - Electrophysiology
  - Cerebellum
  - Vocalisation

# license: License information for this resource. Please provide the license name and 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/"

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# funding: Funding information for this resource.
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funding:
  - "DFG, 525183217"

# references: Digital resources related to this publication, such as research articles, data, or code
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#  id: Please provide digital identifier (e.g., DOI, arXiv, PMID, URL) if possible.
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#   If assignment of an identifier is pending, enter "doi:tba" as placeholder.
#
#  reftype: The relationship of this publication to the referenced resource.
#   IsSupplementTo: to reference a research paper that is supplemented by this publication
#   IsDescribedBy: to reference a data descriptor of a dataset publication
#   IsReferencedBy: to reference code or other resources that use this publication.
#   (for further reftypes see the Datacite schema description https://doi.org/10.5438/0014) 
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#  citation: Please provide the full reference, including title, authors, journal etc., like in the reference section of a paper.
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references:
  -
    id: "doi:tba"
    reftype: "IsSupplementTo"
    citation: "Shivani Hariharan, Julio C. Hechavarria: Cerebellar activity predicts vocalization in fruit bats. Current Biology, submitted."

# Resource type. Default is Dataset, other possible values are Software, Text, Preprint.
resourcetype: Dataset

# Do not edit or remove the following line
templateversion: 1.2