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DagsHub-Datasets
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dandiarchive-dataset

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  1. - '@context': https://raw.githubusercontent.com/dandi/schema/master/releases/0.6.7/context.json
    2. 

  2.   access:
    3. 

  3.   - schemaKey: AccessRequirements
    4. 

  4.     status: dandi:OpenAccess
    5. 

  5.   approach: []
    6. 

  6.   blobDateModified: '2024-07-01T18:06:25.679397+01:00'
    7. 

  7.   contentSize: 150032788
    8. 

  8.   contentUrl:
    9. 

  9.   - https://api.dandiarchive.org/api/assets/27b6585e-7c90-43da-8656-ab987c5e130b/download/
    10. 

  10.   - https://dandiarchive.s3.amazonaws.com/blobs/085/af9/085af9e9-e4e6-432d-9ce2-7f20a5a99883
    11. 

  11.   dateModified: '2024-07-01T18:11:20.859579+01:00'
    12. 

  12.   digest:
    13. 

  13.     dandi:dandi-etag: 42efe515df97bc9c289db947191df24d-3
    14. 

  14.     dandi:sha2-256: 0aa2f97a7c4d8eca06a26e4c3fdbfa8e4b0d1dd29c61d71ad6ad93d9d9f832f7
    15. 

  15.   encodingFormat: application/x-nwb
    16. 

  16.   id: dandiasset:27b6585e-7c90-43da-8656-ab987c5e130b
    17. 

  17.   identifier: 27b6585e-7c90-43da-8656-ab987c5e130b
    18. 

  18.   keywords:
    19. 

  19.   - benchmark
    20. 

  20.   - monkey
    21. 

  21.   - random target
    22. 

  22.   - reaching
    23. 

  23.   measurementTechnique:
    24. 

  24.   - name: analytical technique
    25. 

  25.     schemaKey: MeasurementTechniqueType
    26. 

  26.   path: sub-Animal-1-2-and-3/sub-Animal-1-2-and-3.nwb
    27. 

  27.   relatedResource:
    28. 

  28.   - identifier: 'https://doi.org/10.5061/dryad.nk98sf7q7 '
    29. 

  29.     relation: dcite:IsDescribedBy
    30. 

  30.     schemaKey: Resource
    31. 

  31.   schemaKey: Asset
    32. 

  32.   schemaVersion: 0.6.7
    33. 

  33.   variableMeasured:
    34. 

  34.   - schemaKey: PropertyValue
    35. 

  35.     value: ProcessingModule
    36. 

  36.   wasAttributedTo:
    37. 

  37.   - age:
    38. 

  38.       schemaKey: PropertyValue
    39. 

  39.       unitText: ISO-8601 duration
    40. 

  40.       value: P10M
    41. 

  41.       valueReference:
    42. 

  42.         schemaKey: PropertyValue
    43. 

  43.         value: dandi:BirthReference
    44. 

  44.     identifier: Animal 1,2 and 3
    45. 

  45.     schemaKey: Participant
    46. 

  46.     sex:
    47. 

  47.       identifier: http://purl.obolibrary.org/obo/PATO_0000384
    48. 

  48.       name: Male
    49. 

  49.       schemaKey: SexType
    50. 

  50.     species:
    51. 

  51.       identifier: http://purl.obolibrary.org/obo/NCBITaxon_9544
    52. 

  52.       name: Macaca mulatta - Rhesus monkey
    53. 

  53.       schemaKey: SpeciesType
    54. 

  54.   wasGeneratedBy:
    55. 

  55.   - description: Two Workspace Random Target task
    56. 

  56.     name: Acquisition session
    57. 

  57.     schemaKey: Session
    58. 

  58.     startDate: '2016-08-22T02:30:03-07:00'
    59. 

  59.   - description: Metadata generated by DANDI cli
    60. 

  60.     endDate: '2024-07-01T18:11:20.859568+01:00'
    61. 

  61.     id: urn:uuid:df12f14f-f119-48b2-a4fe-e6496cc824bc
    62. 

  62.     name: Metadata generation
    63. 

  63.     schemaKey: Activity
    64. 

  64.     startDate: '2024-07-01T18:11:20.856891+01:00'
    65. 

  65.     wasAssociatedWith:
    66. 

  66.     - identifier: RRID:SCR_019009
    67. 

  67.       name: DANDI Command Line Interface
    68. 

  68.       schemaKey: Software
    69. 

  69.       url: https://github.com/dandi/dandi-cli
    70. 

  70.       version: 0.62.2
    71.
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Integrate AWS S3
Use S3 remote
Select bucket
Access key
Finish

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

Specify your S3 bucket

Access key (If needed)

Congratulations!

dandiarchive-dataset is now integrated with AWS S3!

Delete Storage Key

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Yes
Integrate Google Cloud Storage
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Use Google Cloud Storage!

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

Specify your Google Storage bucket

Service Account Key

Congratulations!

dandiarchive-dataset is now integrated with Google Cloud Storage!

Delete Storage Key

Are you sure you want to delete this access key?

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Integrate Azure Cloud Storage
Use Azure Storage
Select bucket
Set key
Finish

Use Azure Cloud Storage!

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

Specify your Azure Storage bucket

Access key (If needed)

Congratulations!

dandiarchive-dataset is now integrated with Azure Cloud Storage!

Delete Storage Key

Are you sure you want to delete this access key?

No
Yes
Integrate S3 compatible storage
Use S3 like remote
Select bucket
Access key
Finish

Use any S3 compatible storage!

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

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

Are you sure you want to delete this access key?

No
Yes