predictive_coding_in_asd/datacite.yml

# 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: "Zhuanghua"
    lastname: "Shi"
    affiliation: "Department of Psychology, Ludwig-Maximilians-Universität München, Munich, Germany"
    id: "ORCID:0000-0003-2388-6695"
  -
    firstname: "Laura A."
    lastname: "Theisinger"
    affiliation: "Department of Psychiatry and Psychotherapy, Ludwig-Maximilians-Universität München, Munich, Germany"
  -
    firstname: "Fredrik"
    lastname: "Allenmark"
    affiliation: "Department of Psychology, Ludwig-Maximilians-Universität München, Munich, Germany"
    id: "ORCID:0000-0002-3127-4851"
  -
    firstname: "Rasmus L."
    lastname: "Pistorius"
    affiliation: "Department of Psychiatry and Psychotherapy, Ludwig-Maximilians-Universität München, Munich, Germany"
  -
    firstname: "Hermann J."
    lastname: "Müller"
    affiliation: "Department of Psychology, Ludwig-Maximilians-Universität München, Munich, Germany"
  -
    firstname: "Christine M."
    lastname: "Falter-Wagner"
    affiliation: "Department of Psychiatry and Psychotherapy, Ludwig-Maximilians-Universität München, Munich, Germany"
    

# A title to describe the published resource.
title: "Dataset of Predictive coding in ASD: reduced adaptability of prior to environmental changes"

# Additional information about the resource, e.g., a brief abstract.
description: |
  Data and codes for the study of predicitiv coding in ASD

# Lit of keywords the resource should be associated with.
# Give as many keywords as possible, to make the resource findable.
keywords:
  - autism
  - predictive coding
  - prediction error
  - volatility
  - duration reproduction

# 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:
  - "DFG, SH166/3-2"
  - "BGF, DFG, FA876/3-1, FA876/5-1"


# 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