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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: "Alessandro"
- lastname: "Tonin"
- affiliation: "Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Tübingen, Germany"
- -
- firstname: "Andres"
- lastname: "Jaramillo-Gonzalez"
- affiliation: "Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Tübingen, Germany"
- -
- firstname: "Aygul"
- lastname: "Rana"
- affiliation: "Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Tübingen, Germany"
- id: "orcid.org/0000-0003-2756-945"
- -
- firstname: "Majid"
- lastname: "Khalili-Ardali"
- affiliation: "Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Tübingen, Germany"
- -
- firstname: "Niels"
- lastname: "Birbaumer"
- affiliation: "Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Tübingen, Germany"
- -
- firstname: "Ujwal"
- lastname: "Chaudhary"
- affiliation: "Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Tübingen, Germany; Wyss Center for Bio- and Neuro-Engineering, Geneva, Switzerland"
- id: "orcid.org/0000-0002-7887-1012"
-
-
- # A title to describe the published resource.
- title: "Auditory Electrooculogram-based Communication System for ALS patient (pt11)"
- # Additional information about the resource, e.g., a brief abstract.
- description: |
- This dataset contains electrooculogram (EOG) recordings during use of a non-invasive BCI system previously described
- in doi:10.1038/s41598-020-65333-1. This dataset comprises only recordings for participant p11,
- with additional recordings not part of the originally published dataset.
- # Lit of keywords the resource should be associated with.
- # Give as many keywords as possible, to make the resource findable.
- keywords:
- - Neuroscience
- - BCI
- - EOG
- - brain-computer interface
- - BMI
- - brain-machine interface
- - EEG
- - human
- - amyotrophic lateral sclerosis
- - ALS
- # 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-NonCommercial-ShareAlike 4.0"
- url: "http://creativecommons.org/licenses/by-nc-sa/4.0/"
- ## Optional Fields
- # Funding information for this resource.
- # Separate funder name and grant number by comma.
- funding:
- - "Deutsche Forschungsgemeinschaft (DFG) DFG BI 195/77-1"
- - "BMBF (German Ministry of Education and Research) 16SV7701"
- - "CoMiCon"
- - "LUMINOUS-H2020-FETOPEN-2014-2015-RIA (686764)"
- - "Wyss Center for Bio and Neuroengineering, Geneva"
- # 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:10.1038/s41598-020-65333-1"
- reftype: "IsDescribedBy"
- citation: "Tonin, A., Jaramillo-Gonzalez, A., Rana, A. et al. Auditory Electrooculogram-based Communication System for ALS Patients in Transition from Locked-in to Complete Locked-in State. Sci Rep 10, 8452 (2020). https://doi.org/10.1038/s41598-020-65333-1"
- -
- id: "doi:10.1101/2020.06.10.20122408"
- reftype: "IsSupplementTo"
- citation: "Verbal Communication using Intracortical Signals in a Completely Locked In-Patient. Ujwal Chaudhary, Ioannis Vlachos, Jonas B. Zimmermann, Arnau Espinosa, Alessandro Tonin, Andres Jaramillo-Gonzalez, Majid Khalili-Ardali, Helge Topka, Jens Lehmberg, Gerhard M. Friehs, Alain Woodtli, John P. Donoghue, Niels Birbaumer. medRxiv 2020.06.10.20122408; doi: https://doi.org/10.1101/2020.06.10.20122408"
- # -
- # id: "Nat Comms DOI"
- # reftype: "IsSupplementTo"
- # citation: "Fill In Nat Comms citation"
- # 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
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