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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. about: []
    3. 

  3. access:
    4. 

  4. - schemaKey: AccessRequirements
    5. 

  5.   status: dandi:EmbargoedAccess
    6. 

  6. assetsSummary:
    7. 

  7.   approach:
    8. 

  8.   - name: microscopy approach; cell population imaging
    9. 

  9.     schemaKey: ApproachType
    10. 

  10.   dataStandard:
    11. 

  11.   - identifier: RRID:SCR_015242
    12. 

  12.     name: Neurodata Without Borders (NWB)
    13. 

  13.     schemaKey: StandardsType
    14. 

  14.   measurementTechnique:
    15. 

  15.   - name: surgical technique
    16. 

  16.     schemaKey: MeasurementTechniqueType
    17. 

  17.   - name: analytical technique
    18. 

  18.     schemaKey: MeasurementTechniqueType
    19. 

  19.   numberOfBytes: 382821196044
    20. 

  20.   numberOfFiles: 64
    21. 

  21.   numberOfSubjects: 1
    22. 

  22.   schemaKey: AssetsSummary
    23. 

  23.   species:
    24. 

  24.   - identifier: http://purl.obolibrary.org/obo/NCBITaxon_10090
    25. 

  25.     name: Mus musculus - House mouse
    26. 

  26.     schemaKey: SpeciesType
    27. 

  27.   variableMeasured:
    28. 

  28.   - PlaneSegmentation
    29. 

  29.   - ProcessingModule
    30. 

  30.   - OpticalChannel
    31. 

  31.   - ImagingPlane
    32. 

  32. citation: Kalugin, Peter N; Andermann, Mark L (2024) Multiplexed Sensing and Control
    33. 

  33.   of Neuromodulators and Peptides in the Awake Brain (Version draft) [Data set]. DANDI
    34. 

  34.   archive. https://dandiarchive.org/dandiset/001074/draft
    35. 

  35. contributor:
    36. 

  36. - email: pkalugin@g.harvard.edu
    37. 

  37.   identifier: 0000-0003-2549-5815
    38. 

  38.   includeInCitation: true
    39. 

  39.   name: Kalugin, Peter N
    40. 

  40.   roleName:
    41. 

  41.   - dcite:Author
    42. 

  42.   - dcite:ContactPerson
    43. 

  43.   schemaKey: Person
    44. 

  44. - email: manderma@bidmc.harvard.edu
    45. 

  45.   includeInCitation: true
    46. 

  46.   name: Andermann, Mark L
    47. 

  47.   roleName:
    48. 

  48.   - dcite:Author
    49. 

  49.   - dcite:ProjectLeader
    50. 

  50.   schemaKey: Person
    51. 

  51. - awardNumber: 5 R21 EY035436-02
    52. 

  52.   includeInCitation: false
    53. 

  53.   name: National Institutes of Health (NIH)
    54. 

  54.   roleName:
    55. 

  55.   - dcite:Funder
    56. 

  56.   schemaKey: Organization
    57. 

  57. dateCreated: '2024-06-23T14:57:38.368990+00:00'
    58. 

  58. description: Multiplexed neuromodulator sensor recordings
    59. 

  59. ethicsApproval: []
    60. 

  60. id: DANDI:001074/draft
    61. 

  61. identifier: DANDI:001074
    62. 

  62. keywords: []
    63. 

  63. license:
    64. 

  64. - spdx:CC-BY-4.0
    65. 

  65. manifestLocation:
    66. 

  66. - https://api.dandiarchive.org/api/dandisets/001074/versions/draft/assets/
    67. 

  67. name: Multiplexed Sensing and Control of Neuromodulators and Peptides in the Awake
    68. 

  68.   Brain
    69. 

  69. protocol: []
    70. 

  70. relatedResource: []
    71. 

  71. repository: https://dandiarchive.org
    72. 

  72. schemaKey: Dandiset
    73. 

  73. schemaVersion: 0.6.7
    74. 

  74. studyTarget: []
    75. 

  75. url: https://dandiarchive.org/dandiset/001074/draft
    76. 

  76. version: draft
    77. 

  77. wasGeneratedBy: []
    78.
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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
Use Google Storage
Select bucket
Upload key
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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

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No
Yes
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