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ML-Purdue
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aqacf-ml-main

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geos_fp_aer.json 229 B
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  1. {
    2. 

  2.   "variables": [
    3. 

  3.     "DUSMASS25",
    4. 

  4.     "SSSMASS25",
    5. 

  5.     "OCSMASS",
    6. 

  6.     "BCSMASS",
    7. 

  7.     "SO4SMASS"
    8. 

  8.   ],
    9. 

  9.   "dataset": "tavg3_2d_aer_Nx",
    10. 

  10.   "start": "2014-02-20",
    11. 

  11.   "end": "2023-08-10",
    12. 

  12.   "time_start": 130,
    13. 

  13.   "time_interval": 300
    14. 

  14. }
    15.
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Integrate AWS S3
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Use AWS S3 as storage!

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Integrate Google Cloud Storage
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Use Google Cloud Storage!

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Specify your Google Storage bucket

Service Account Key

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aqacf-ml-main is now integrated with Google Cloud Storage!

Delete Storage 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!

aqacf-ml-main is now integrated with Azure Cloud Storage!

Delete Storage Key

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Integrate S3 compatible storage
Use S3 like remote
Select bucket
Access key
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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!

aqacf-ml-main is now integrated with your S3 compatible storage!

Delete Storage Key

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Yes