Register
Login
Resources
Docs Blog Datasets Glossary Case Studies Tutorials & Webinars
Product
Data Engine LLMs Platform Enterprise
Pricing Explore
Connect to our Discord channel
Resources  
Docs Blog Datasets Glossary Case Studies Tutorials & Webinars
Explore Pricing
Product  
Data Engine LLMs Platform Enterprise
Connect to Dagshub Discord channel
Register
Login

DagsHub-Datasets
/
dandiarchive-dataset

Watch 3
Issues 0 Pull Requests 0 Discussions 0

dandiset.yaml 2.8 KB
Raw

You have to be logged in to leave a comment. Sign In
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83 
  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. assetsSummary:
    6. 

  6.   approach:
    7. 

  7.   - name: behavioral approach
    8. 

  8.     schemaKey: ApproachType
    9. 

  9.   - name: electrophysiological approach
    10. 

  10.     schemaKey: ApproachType
    11. 

  11.   dataStandard:
    12. 

  12.   - identifier: RRID:SCR_015242
    13. 

  13.     name: Neurodata Without Borders (NWB)
    14. 

  14.     schemaKey: StandardsType
    15. 

  15.   measurementTechnique:
    16. 

  16.   - name: behavioral technique
    17. 

  17.     schemaKey: MeasurementTechniqueType
    18. 

  18.   - name: spike sorting technique
    19. 

  19.     schemaKey: MeasurementTechniqueType
    20. 

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

  21.     schemaKey: MeasurementTechniqueType
    22. 

  22.   - name: signal filtering technique
    23. 

  23.     schemaKey: MeasurementTechniqueType
    24. 

  24.   - name: analytical technique
    25. 

  25.     schemaKey: MeasurementTechniqueType
    26. 

  26.   - name: surgical technique
    27. 

  27.     schemaKey: MeasurementTechniqueType
    28. 

  28.   numberOfBytes: 322981345984
    29. 

  29.   numberOfFiles: 9
    30. 

  30.   numberOfSubjects: 8
    31. 

  31.   schemaKey: AssetsSummary
    32. 

  32.   species:
    33. 

  33.   - identifier: http://purl.obolibrary.org/obo/NCBITaxon_10116
    34. 

  34.     name: Rattus norvegicus - Norway rat
    35. 

  35.     schemaKey: SpeciesType
    36. 

  36.   variableMeasured:
    37. 

  37.   - SpatialSeries
    38. 

  38.   - LFP
    39. 

  39.   - Position
    40. 

  40.   - ProcessingModule
    41. 

  41.   - ElectrodeGroup
    42. 

  42.   - Units
    43. 

  43.   - ElectricalSeries
    44. 

  44. citation: Shin, Justin (2024) Single Day W-Track Learning (Version 0.240511.0247)
    45. 

  45.   [Data set]. DANDI archive. https://dandiarchive.org/dandiset/000978/0.240511.0247
    46. 

  46. contributor:
    47. 

  47. - affiliation: []
    48. 

  48.   email: jdshin@brandeis.edu
    49. 

  49.   includeInCitation: true
    50. 

  50.   name: Shin, Justin
    51. 

  51.   roleName:
    52. 

  52.   - dcite:ContactPerson
    53. 

  53.   schemaKey: Person
    54. 

  54. dateCreated: '2024-05-01T14:47:00.350607+00:00'
    55. 

  55. datePublished: '2024-05-11T02:47:38.040386+00:00'
    56. 

  56. description: This dataset contains data from 8 animals (male Long Evans rats) learning
    57. 

  57.   a W-Track alternation task in a single day over 8 behavioral sessions (interleaved
    58. 

  58.   with sleep - 17 total epochs). Data includes position information (including velocity),
    59. 

  59.   spike times for dorsal CA1 and prefrontal single units, and local field potential.
    60. 

  60. id: DANDI:000978/0.240511.0247
    61. 

  61. identifier: DANDI:000978
    62. 

  62. license:
    63. 

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

  64. manifestLocation:
    65. 

  65. - https://dandiarchive.s3.amazonaws.com/dandisets/000978/0.240511.0247/assets.yaml
    66. 

  66. name: Single Day W-Track Learning
    67. 

  67. publishedBy:
    68. 

  68.   endDate: '2024-05-11T02:47:38.040386+00:00'
    69. 

  69.   id: urn:uuid:c343c18c-13c4-41a6-bd13-dd8d8eb029e0
    70. 

  70.   name: DANDI publish
    71. 

  71.   schemaKey: PublishActivity
    72. 

  72.   startDate: '2024-05-11T02:47:38.040386+00:00'
    73. 

  73.   wasAssociatedWith:
    74. 

  74.   - id: urn:uuid:79ed5e5c-23e1-4292-b7b6-b66128f32003
    75. 

  75.     identifier: RRID:SCR_017571
    76. 

  76.     name: DANDI API
    77. 

  77.     schemaKey: Software
    78. 

  78.     version: 0.1.0
    79. 

  79. repository: https://dandiarchive.org
    80. 

  80. schemaKey: Dandiset
    81. 

  81. schemaVersion: 0.6.7
    82. 

  82. url: https://dandiarchive.org/dandiset/000978/0.240511.0247
    83. 

  83. version: 0.240511.0247
    84.
Prev
Next
Tip!

Press p or to see the previous file or, n or to see the next file

Comments

Write Preview
Loading...
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

Are you sure you want to delete this access key?

No
Yes
Integrate Google Cloud Storage
Use Google Storage
Select bucket
Upload key
Finish

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?

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