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DagsHub-Datasets
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dandiarchive-dataset

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dandiset.yaml 2.3 KB
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  1. '@context': https://raw.githubusercontent.com/dandi/schema/master/releases/0.6.4/context.json
    2. 

  2. access:
    3. 

  3. - schemaKey: AccessRequirements
    4. 

  4.   status: dandi:OpenAccess
    5. 

  5. assetsSummary:
    6. 

  6.   approach:
    7. 

  7.   - name: electrophysiological approach
    8. 

  8.     schemaKey: ApproachType
    9. 

  9.   dataStandard:
    10. 

  10.   - identifier: RRID:SCR_015242
    11. 

  11.     name: Neurodata Without Borders (NWB)
    12. 

  12.     schemaKey: StandardsType
    13. 

  13.   measurementTechnique:
    14. 

  14.   - name: analytical technique
    15. 

  15.     schemaKey: MeasurementTechniqueType
    16. 

  16.   - name: spike sorting technique
    17. 

  17.     schemaKey: MeasurementTechniqueType
    18. 

  18.   - name: surgical technique
    19. 

  19.     schemaKey: MeasurementTechniqueType
    20. 

  20.   - name: multi electrode extracellular electrophysiology recording technique
    21. 

  21.     schemaKey: MeasurementTechniqueType
    22. 

  22.   numberOfBytes: 261081372406
    23. 

  23.   numberOfFiles: 5
    24. 

  24.   numberOfSubjects: 1
    25. 

  25.   schemaKey: AssetsSummary
    26. 

  26.   species:
    27. 

  27.   - identifier: http://purl.obolibrary.org/obo/NCBITaxon_9544
    28. 

  28.     name: Macaca mulatta - Rhesus monkey
    29. 

  29.     schemaKey: SpeciesType
    30. 

  30.   variableMeasured:
    31. 

  31.   - Units
    32. 

  32.   - ProcessingModule
    33. 

  33.   - ElectrodeGroup
    34. 

  34.   - ElectricalSeries
    35. 

  35. citation: Tang, Cheng (2024) vector compositionality Jazayeri Lab (Version draft)
    36. 

  36.   [Data set]. DANDI archive. https://doi.org/10.80507/dandi.123456/0.123456.1234
    37. 

  37. contributor:
    38. 

  38. - affiliation: []
    39. 

  39.   email: chengtang827@gmail.com
    40. 

  40.   includeInCitation: true
    41. 

  41.   name: Tang, Cheng
    42. 

  42.   roleName:
    43. 

  43.   - dcite:ContactPerson
    44. 

  44.   schemaKey: Person
    45. 

  45. dateCreated: '2024-01-11T17:58:00.440257+00:00'
    46. 

  46. datePublished: '2024-01-19T18:45:24.049676+00:00'
    47. 

  47. description: '<placeholder>
    48. 

  48. 

  49.   <link to publication>'
    50. 

  50. doi: 10.80507/dandi.123456/0.123456.1234
    51. 

  51. id: DANDI:000784/draft
    52. 

  52. identifier: DANDI:000784
    53. 

  53. license:
    54. 

  54. - spdx:CC0-1.0
    55. 

  55. manifestLocation:
    56. 

  56. - https://api.dandiarchive.org/api/dandisets/000784/versions/draft/assets/
    57. 

  57. name: vector compositionality Jazayeri Lab
    58. 

  58. publishedBy:
    59. 

  59.   endDate: '2024-01-19T18:45:24.049676+00:00'
    60. 

  60.   id: urn:uuid:cf20e153-8479-4991-8a6c-041efe250766
    61. 

  61.   name: DANDI publish
    62. 

  62.   schemaKey: PublishActivity
    63. 

  63.   startDate: '2024-01-19T18:45:24.049676+00:00'
    64. 

  64.   wasAssociatedWith:
    65. 

  65.   - id: urn:uuid:67087de2-1f7e-4491-bed6-01ddaba7fa1b
    66. 

  66.     identifier: RRID:SCR_017571
    67. 

  67.     name: DANDI API
    68. 

  68.     schemaKey: Software
    69. 

  69.     version: 0.1.0
    70. 

  70. repository: https://dandiarchive.org
    71. 

  71. schemaKey: Dandiset
    72. 

  72. schemaVersion: 0.6.4
    73. 

  73. url: https://dandiarchive.org/dandiset/000784/draft
    74. 

  74. version: draft
    75.
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Integrate AWS S3
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Use AWS S3 as storage!

Browsing data directories saved to S3 is possible with DAGsHub. Let's configure your repository to easily display your data in the context of any commit!

Existing keys:
s3://dandiarchive
Jan 31, 2023

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dandiarchive-dataset is now integrated with AWS S3!

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Congratulations!

dandiarchive-dataset is now integrated with Azure Cloud Storage!

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Integrate S3 compatible storage
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Select bucket
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Use any S3 compatible storage!

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Specify your S3 bucket

Bucket name cannot be the same as the repository name. Please change one of them.

Access key (If needed)

Congratulations!

dandiarchive-dataset is now integrated with your S3 compatible storage!

Delete Storage Key

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No
Yes