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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: "Markus"
- lastname: "Aswendt"
- affiliation: "University of Cologne"
- id: "ORCID:0000-0003-1423-0934"
- -
- firstname: "Ulrika"
- lastname: "Wilhelmsson"
- affiliation: "University of Gothenburg"
- id: "ORCID:0000-0003-3227-2687"
- -
- firstname: "Frederique"
- lastname: "Wieters"
- affiliation: "University of Cologne"
- -
- firstname: "Felix"
- lastname: "Schmitt"
- affiliation: "University of Cologne"
- -
- firstname: "Niklas"
- lastname: "Pallast"
- affiliation: "University of Cologne"
- -
- firstname: "Yolanda"
- lastname: "de Pablo"
- affiliation: "University of Gothenburg"
- id: "ORCID:0000-0001-5208-2114"
- -
- firstname: "Lava"
- lastname: "Mohammed"
- affiliation: "University of Gothenburg"
- -
- firstname: "Mathias"
- lastname: "Hoehn"
- affiliation: "Forschungszentrum Jülich"
- id: "ORCID:0000-0001-5996-7572"
- -
- firstname: "Marcela"
- lastname: "Pekna"
- affiliation: "University of Gothenburg"
- id: "ORCID:0000-0003-2734-8237"
- -
- firstname: "Milos"
- lastname: "Pekny"
- affiliation: "University of Gothenburg"
- id: "ORCID:0000-0003-1607-8075"
- -
-
- # A title to describe the published resource.
- title: "Longitudinal MRI (T2-weighted and rs-fMRI) of GFAP-/-/Vim-/- and WT mice"
- # Additional information about the resource, e.g., a brief abstract.
- description: |
- Longitudinal MRI (T2-weighted and rs-fMRI) of GFAP-/-/Vim-/- and WT mice;
- 6 time points over 4 weeks post photothrombotic stroke.
- # Lit of keywords the resource should be associated with.
- # Give as many keywords as possible, to make the resource findable.
- keywords:
- - Neuroscience
- - Stroke
- - Stroke recovery
- - Photothrombose
- - Reactive Gliosis
- - Astrocyte
- - MRI
- - Functional connectivit
- - Network analysis
- - Graph theory
- # 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 International Public License"
- url: "https://creativecommons.org/licenses/by-nc-sa/4.0/"
- # 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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