strkvis-mri/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: "Kuan"
    lastname: "Beh"
    affiliation: "University of Nottingham"
  -
    firstname: "Paul"
    lastname: "McGraw"
    affiliation: "University of Nottingham"
    id: "ORCID:0000-0003-4344-8369"
  -
    firstname: "Ben"
    lastname: "Webb"
    affiliation: "University of Nottingham"
    id: "ORCID:0000-0003-4344-8369"
  -
    firstname: "Denis"
    lastname: "Schluppeck"
    affiliation: "University of Nottingham"
    id: "ORCID:0000-0002-0634-7713"
    
    

# A title to describe the published resource.
title: "Linking multi-modal MRI to clinical measures of visual field loss after stroke"

# Additional information about the resource, e.g., a brief abstract.
description: |
  Homonymous visual field loss is a common and devastating complication of cerebral strokes. 
  Static perimetry is the current gold standard for measuring residual visual field coverage. 
  However, perimetry has limitations: its coverage is often coarse, it requires good attentional 
  engagement of participants, and provides only indirect information about where in the visual 
  pathway the key processing deficit is located. 
  Here, we present a detailed perimetry and brain imaging dataset from four stroke survivors. 
  We show that population receptive field analysis on functional MRI data provides a robust measure 
  of residual visual field function. We link this functional activity to defined regions from a 
  probabilistic atlas as well as major white matter tracts from probabilistic tractography. 
  
# Lit of keywords the resource should be associated with.
# Give as many keywords as possible, to make the resource findable.
keywords:
  - Neuroscience
  - MRI
  - stroke
  - visual
  - vision
  

# 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 Attribution-ShareAlike 4.0"
  url: "https://creativecommons.org/licenses/by-sa/4.0/"



## Optional Fields

# Funding information for this resource.
# Separate funder name and grant number by comma.
funding:
  - "Fight for Sight, 5067/5068"



# 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:10.xxx/zzzz"
    reftype: "IsSupplementTo"
    citation: "Citation1"
  -
    id: "arxiv:mmmm.nnnn"
    reftype: "IsSupplementTo"
    citation: "Citation2"
  -
    id: "pmid:nnnnnnnn"
    reftype: "IsReferencedBy"
    citation: "Citation3"


# 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