Add information for publishing with DataCite

datacite.yml

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+# 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: ""
+  url: ""
+
+
+
+## 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