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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: "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
|