dHCP_neonatal_HARDI_atlas/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: "Maximilian"
    lastname: "Pietsch"
  -
    firstname: "Daan"
    lastname: "Christiaens"
  -
    firstname: "Jana"
    lastname: "Hutter"
  -
    firstname: "Lucilio"
    lastname: "Cordero-Grande"
  -
    firstname: "Anthony N"
    lastname: "Price"
  -
    firstname: "Emer"
    lastname: "Hughes"
  -
    firstname: "A David"
    lastname: "Edwards"
  -
    firstname: "Joseph V"
    lastname: "Hajnal"
  -
    firstname: "Serena J"
    lastname: "Counsell"
  -
    firstname: "J-Donald"
    lastname: "Tournier"


# A title to describe the published resource.
title: "Atlas: A framework for multi-component analysis of diffusion MRI data over the neonatal period"

# Additional information about the resource, e.g., a brief abstract.
description: |
    A time-resolved group average template of the developing brain. 
    We decompose advanced multi-shell high angular resolution diffusion imaging data
    acquired from 113 babies between 33 and 44 weeks postmenstrual age, 
    imaged as part of the Developing Human Connectome Project,
    into one isotropic component and two anisotropic components.

# Lit of keywords the resource should be associated with.
# Give as many keywords as possible, to make the resource findable.
keywords:
  - Neuroscience
  - Diffusion MRI
  - Brain development
  - White matter
  - Atlas

references:
  -
    id: "doi:10.1016/j.neuroimage.2018.10.060"
    reftype: "IsSupplementTo"
    title: "A Framework for Multi-Component Analysis of Diffusion MRI Data Over the Neonatal Period"
    citation: "pietsch2018framework"

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

# 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