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  1. # Metadata for DOI registration according to DataCite Metadata Schema 4.1.
  2. # For detailed schema description see https://doi.org/10.5438/0014
  3. ## Required fields
  4. # The main researchers involved. Include digital identifier (e.g., ORCID)
  5. # if possible, including the prefix to indicate its type.
  6. authors:
  7. -
  8. firstname: "Markus"
  9. lastname: "Aswendt"
  10. affiliation: "University of Cologne"
  11. id: "ORCID:0000-0003-1423-0934"
  12. -
  13. firstname: "Ulrika"
  14. lastname: "Wilhelmsson"
  15. affiliation: "University of Gothenburg"
  16. id: "ORCID:0000-0003-3227-2687"
  17. -
  18. firstname: "Frederique"
  19. lastname: "Wieters"
  20. affiliation: "University of Cologne"
  21. -
  22. firstname: "Felix"
  23. lastname: "Schmitt"
  24. affiliation: "University of Cologne"
  25. -
  26. firstname: "Niklas"
  27. lastname: "Pallast"
  28. affiliation: "University of Cologne"
  29. -
  30. firstname: "Yolanda"
  31. lastname: "de Pablo"
  32. affiliation: "University of Gothenburg"
  33. id: "ORCID:0000-0001-5208-2114"
  34. -
  35. firstname: "Lava"
  36. lastname: "Mohammed"
  37. affiliation: "University of Gothenburg"
  38. -
  39. firstname: "Mathias"
  40. lastname: "Hoehn"
  41. affiliation: "Forschungszentrum Jülich"
  42. id: "ORCID:0000-0001-5996-7572"
  43. -
  44. firstname: "Marcela"
  45. lastname: "Pekna"
  46. affiliation: "University of Gothenburg"
  47. id: "ORCID:0000-0003-2734-8237"
  48. -
  49. firstname: "Milos"
  50. lastname: "Pekny"
  51. affiliation: "University of Gothenburg"
  52. id: "ORCID:0000-0003-1607-8075"
  53. -
  54. # A title to describe the published resource.
  55. title: "Longitudinal MRI (T2-weighted and rs-fMRI) of GFAP-/-/Vim-/- and WT mice"
  56. # Additional information about the resource, e.g., a brief abstract.
  57. description: |
  58. Longitudinal MRI (T2-weighted and rs-fMRI) of GFAP-/-/Vim-/- and WT mice;
  59. 6 time points over 4 weeks post photothrombotic stroke.
  60. # Lit of keywords the resource should be associated with.
  61. # Give as many keywords as possible, to make the resource findable.
  62. keywords:
  63. - Neuroscience
  64. - Stroke
  65. - Stroke recovery
  66. - Photothrombose
  67. - Reactive Gliosis
  68. - Astrocyte
  69. - MRI
  70. - Functional connectivit
  71. - Network analysis
  72. - Graph theory
  73. # License information for this resource. Please provide the license name and/or a link to the license.
  74. # Please add also a corresponding LICENSE file to the repository.
  75. license:
  76. name: "Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Public License"
  77. url: "https://creativecommons.org/licenses/by-nc-sa/4.0/"
  78. # Resource type. Default is Dataset, other possible values are Software, DataPaper, Image, Text.
  79. resourcetype: Dataset
  80. # Do not edit or remove the following line
  81. templateversion: 1.2