# 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: "Gyula"
    lastname: "Gyebnár"
    affiliation: "MR Research Center, Semmelweis University, Budapest, Hungary"
    id: "ORCID:0000-0003-4411-2330"
  -
    firstname: "Zoltán"
    lastname: "Klimaj"
    affiliation: "MR Research Center, Semmelweis University, Budapest, Hungary"
    id: "ORCID:0000-0001-9700-5382"
  -
    firstname: "László"
    lastname: "Entz"
    affiliation: "National Institute of Clinical Neurosciences, Budapest, Hungary"
  -
    firstname: "Dániel"
    lastname: "Fabó"
    affiliation: "National Institute of Clinical Neurosciences, Budapest, Hungary "
  -
    firstname: "Gábor"
    lastname: "Rudas"
    affiliation: "MR Research Center, Semmelweis University, Budapest, Hungary"
    id: "ORCID:0000-0001-2345-6789"
  -
    firstname: "Péter"
    lastname: "Barsi"
    affiliation: "MR Research Center, Semmelweis University, Budapest, Hungary"
    id: "ORCID:0000-0001-2345-6789"
  -
    firstname: "Lajos Rudolf"
    lastname: "Kozák"
    affiliation: "MR Research Center, Semmelweis University, Budapest, Hungary"
    id: "ORCID:0000-0003-0368-3663"

# A title to describe the published resource.
title: "Epilepsy MCD Mahalanobis Dataset"

# Additional information about the resource, e.g., a brief abstract.
description: |
  Shared data related to the in review PLoS manuscript: 
  Personalized microstructural evaluation using a Mahalanobis-distance based outlier detection strategy on epilepsy patients’ DTI data – theory, simulations and example cases, 
  by G Gyebnár , Z Klimaj, L Entz, D Fabó, G Rudas, P Barsi & LR Kozák

# Lit of keywords the resource should be associated with.
# Give as many keywords as possible, to make the resource findable.
keywords:
  - MRI
  - Magnetic Resonance Imaging
  - DTI
  - Diffusion Tensor Imaging
  - Neuroradiology
  - Neurorimaging
  - Epilepsy
  - Malformations of Cortical Development
  - Brain Microstructure
  - Microstructural analysis
  - White Matter
  - Gray Matter
  - Grey Matter
  - MCD
  - Postprocessing
  - MAP07
  - Image Processing
  - Image Statistics
  - Mahalanobis Distance
  - Multidimensional Statistics
  - Epileptic lesion Detection
  - Lesion Detection
  - Single Patient Statistics
  

# 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 4.0 International Public License"
  url: "https://creativecommons.org/licenses/by/4.0/"



## Optional Fields

# Funding information for this resource.
# Separate funder name and grant number by comma.
funding:
  - "Ministry of Human Capacities Hungary, EFOP-3.6.3-VEKOP-16-2017-00009"
  - "Hungarian National Brain Research Program, KTIA/NAP_13-1-2013-0001:5"
  - "Hungarian National Brain Research Program, 2017-1.2.1-NKP-2017-00002"
  - "National Research, Development and Innovation Office Hungary, K128040"
  - "Hungarian Academy of Sciences, Bolyai Research Fellowship Program"


# 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
references:
  -
    id: "doi:10.xxx/zzzz"
    reftype: "IsSupplementTo"
    name: "Personalized microstructural evaluation using a Mahalanobis-distance based outlier detection strategy on epilepsy patients’ DTI data – theory, simulations and example cases, by G Gyebnár , Z Klimaj, L Entz, D Fabó, G Rudas, P Barsi & LR Kozák"


# Resource type. Default is Dataset, other possible values are Software, DataPaper, Image, Text.
resourcetype: Dataset