Updated datacite.yml

datacite.yml

@@ -7,40 +7,54 @@
 # if possible, including the prefix to indicate its type.
 authors:
   -
-    firstname: "GivenName1"
-    lastname: "FamilyName1"
-    affiliation: "Affiliation1"
-    id: "ORCID:0000-0001-2345-6789"
+    firstname: "Jan"
+    lastname: "Yperman"
+    affiliation: "Hasselt University, Belgium"
+    id: "0000-0002-7632-2001"
   -
-    firstname: "GivenName2"
-    lastname: "FamilyName2"
-    affiliation: "Affiliation2"
-    id: "ResearcherID:X-1234-5678"
+    firstname: "Veronica"
+    lastname: "Popescu"
+    affiliation: "Hasselt University, Belgium"
   -
-    firstname: "GivenName3"
-    lastname: "FamilyName3"
+    firstname: "Bart"
+    lastname: "Van Wijmeersch"
+    affiliation: "Hasselt University, Belgium"
+  -
+    firstname: "Thijs"
+    lastname: "Becker"
+    affiliation: "Hasselt University, Belgium"
+  -
+    firstname: "Liesbet"
+    lastname: "Peeters"
+    affiliation: "Hasselt University, Belgium"
 
 # A title to describe the published resource.
-title: "Example Title"
+title: "Motor evoked potentials for multiple sclerosis: A multiyear follow-up dataset."
 
 # Additional information about the resource, e.g., a brief abstract.
 description: |
-  Example description
-  that can contain linebreaks
-  but has to maintain indentation.
+  Multiple sclerosis (MS) is a chronic disease affecting millions of people worldwide. The signal conduction through the central
+  nervous system of MS patients deteriorates. Evoked potential measurements allow clinicians to monitor the degree of
+  deterioration and are used for decision support. We share a dataset that contains motor evoked potential (MEP) measurements,
+  in which the brain is stimulated and the resulting signal is measured in the hands and feet. This results in time series of 100
+  milliseconds long. Typically, both hands and feet are measured in one hospital visit. The dataset consists of 5586 visits of
+  963 patients, performed in day-to-day clinical care over a period of 6 years. The dataset consists of approximately 100,000
+  MEP. Clinical metadata such as the expanded disability status scale, sex, and age is also available. This dataset can be used
+  to explore the role of evoked potentials in MS research and patient care. It may also be used as a real-world benchmark for
+  machine learning techniques for time series analysis and predictive modelling.
 
 # Lit of keywords the resource should be associated with.
 # Give as many keywords as possible, to make the resource findable.
 keywords:
-  - Neuroscience
-  - Keyword2
-  - Keyword3
+  - Multiple Sclerosis
+  - Prognosis
+  - Time series
 
 # 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/"
+  name: "CC-BY"
+  url: "https://creativecommons.org/licenses/by/4.0/"
 
 
 
@@ -49,8 +63,8 @@ license:
 # Funding information for this resource.
 # Separate funder name and grant number by comma.
 funding:
-  - "DFG, AB1234/5-6"
-  - "EU, EU.12345"
+    # - "DFG, AB1234/5-6"
+    # - "EU, EU.12345"
 
 
 # Related publications. reftype might be: IsSupplementTo, IsDescribedBy, IsReferencedBy.
@@ -60,17 +74,13 @@ funding:
 # In the citation field, please provide the full reference, including title, authors, journal etc.
 references:
   -
-    id: "doi:10.xxx/zzzz"
+    id: "doi:10.1186/s12883-020-01672-w"
     reftype: "IsSupplementTo"
-    citation: "Citation1"
+    citation: "Yperman, J., Becker, T., Valkenborg, D., Popescu, V., Hellings, N., Wijmeersch, B. V., & Peeters, L. M. (2020). Machine learning analysis of motor evoked potential time series to predict disability progression in multiple sclerosis. BMC Neurology, 20(1)."
   -
-    id: "arxiv:mmmm.nnnn"
+    id: "doi:10.3389/fninf.2020.00028"
     reftype: "IsSupplementTo"
-    citation: "Citation2"
-  -
-    id: "pmid:nnnnnnnn"
-    reftype: "IsReferencedBy"
-    citation: "Citation3"
+    citation: "Yperman, J., Becker, T., Valkenborg, D., Hellings, N., Cambron, M., Dive, D., Laureys, G., Popescu, V., Van Wijmeersch, B., & Peeters, L. M. (2020). Deciphering the Morphology of Motor Evoked Potentials. Frontiers in Neuroinformatics, 14."
 
 
 # Resource type. Default is Dataset, other possible values are Software, DataPaper, Image, Text.