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dandiset.yaml 3.6 KB

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  1. '@context': https://raw.githubusercontent.com/dandi/schema/master/releases/0.6.4/context.json
  2. about:
  3. - identifier: UBERON:0008930
  4. name: Somatosensory Cortex
  5. schemaKey: Anatomy
  6. - identifier: UBERON:0000955
  7. name: Brain
  8. schemaKey: Anatomy
  9. access:
  10. - schemaKey: AccessRequirements
  11. status: dandi:OpenAccess
  12. assetsSummary:
  13. numberOfBytes: 0
  14. numberOfFiles: 0
  15. schemaKey: AssetsSummary
  16. citation: Chollet, Etienne; Yaël Balbastre; Mauri, Chiara; Magnain, Caroline; Fischl,
  17. Bruce; Wang, Hui (2024) sOCT of the Human Somatosensory Cortex and Vessel Segmentation
  18. (Version draft) [Data set]. DANDI archive. https://dandiarchive.org/dandiset/000722/draft
  19. contributor:
  20. - affiliation:
  21. - name: Massachussets General Hospital
  22. schemaKey: Affiliation
  23. email: echollet@mgh.harvard.edu
  24. identifier: 0009-0006-4730-525X
  25. includeInCitation: true
  26. name: Chollet, Etienne
  27. roleName:
  28. - dcite:ContactPerson
  29. - dcite:Author
  30. schemaKey: Person
  31. - awardNumber: NIF\R1\232460
  32. email: y.balbastre@ucl.ac.uk
  33. identifier: 0000-0001-8758-9978
  34. includeInCitation: true
  35. name: Yaël Balbastre
  36. schemaKey: Person
  37. - includeInCitation: true
  38. name: Mauri, Chiara
  39. schemaKey: Person
  40. - awardNumber: CZI (2019- 198101, 2021-244261)
  41. includeInCitation: true
  42. name: Magnain, Caroline
  43. schemaKey: Person
  44. - includeInCitation: true
  45. name: Fischl, Bruce
  46. schemaKey: Person
  47. - includeInCitation: true
  48. name: Wang, Hui
  49. schemaKey: Person
  50. dateCreated: '2023-12-04T23:33:28.541355+00:00'
  51. description: 'This dataset contains a 3.4 x 2.9 x 1.1 cm block of Human somatosensory
  52. cortex imaged by Serial-sectionning Optical Coherence Tomography (sOCT) at 20 µm
  53. isotropic resolution. Vessels in a 6 x 6 x 6 mm region of interest (ROI) were manually
  54. labeled and used to validate a machine-learning segmentation method.The output of
  55. the automatic segmentation method are also provided, both for the small ROI and
  56. large block.
  57. In details, the dataset contains:
  58. - `sub-I46/micr/sub-I46_sample-somatosensory_chunk-01_OCT.ome.zarr` - Image of the
  59. full block of tissue
  60. - `sub-I46/micr/sub-I46_sample-somatosensory_chunk-02_OCT.ome.zarr` - Image of the
  61. smaller region of interest
  62. - `derivatives/annotations/sub-I46/micr/sub-I46_sample-somatosensory_chunk-01_label-tissue_mask.ome.zarr`
  63. - Manually labeled tissue
  64. - `derivatives/annotations/sub-I46/micr/sub-I46_sample-somatosensory_chunk-01_label-vessels_mask.ome.zarr`
  65. - Manually labeled vessels
  66. - `derivatives/predictions/sub-I46/micr/sub-I46_sample-somatosensory_chunk-01_label-vessels_mask.ome.zarr`
  67. - Vessel maximum-likelihood map (large block)
  68. - `derivatives/predictions/sub-I46/micr/sub-I46_sample-somatosensory_chunk-02_label-vessels_mask.ome.zarr`
  69. - Vessel maximum-likelihood map (small block)
  70. - `derivatives/predictions/sub-I46/micr/sub-I46_sample-somatosensory_chunk-01_label-vessels_probseg.ome.zarr`
  71. - Vessel probability map (large block)
  72. - `derivatives/predictions/sub-I46/micr/sub-I46_sample-somatosensory_chunk-02_label-vessels_probseg.ome.zarr`
  73. - Vessel probability map (small block)'
  74. ethicsApproval: []
  75. id: DANDI:000722/draft
  76. identifier: DANDI:000722
  77. keywords:
  78. - Optical Coherence Tomography
  79. - Vasculature
  80. license:
  81. - spdx:CC-BY-4.0
  82. manifestLocation:
  83. - https://api.dandiarchive.org/api/dandisets/000722/versions/draft/assets/
  84. name: sOCT of the Human Somatosensory Cortex and Vessel Segmentation
  85. protocol:
  86. - https://github.com/EtienneChollet/oct_vesselseg
  87. relatedResource: []
  88. repository: https://dandiarchive.org
  89. schemaKey: Dandiset
  90. schemaVersion: 0.6.4
  91. studyTarget:
  92. - Human Brain
  93. url: https://dandiarchive.org/dandiset/000722/draft
  94. version: draft
  95. wasGeneratedBy:
  96. - name: Unet validation data
  97. schemaKey: Project
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