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This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource. |
| Type: | Resource | |
| Storage: | The size of this resource is 31.5 KB | |
| Created: | Jul 12, 2025 at 2:48 a.m. (UTC) | |
| Last updated: | Jul 23, 2025 at 3:10 a.m. (UTC) | |
| Citation: | See how to cite this resource |
| Sharing Status: | Public |
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Abstract
This resource contains a draft Jupyter Notebook that has example code snippets showing how to access HydroShare resource files using HydroShare S3 buckets. The user_account.py is a utility to read user hydroshare cached account information in any of the JupyterHub instances that HydroShare has access to. The example notebook uses this utility so that you don't have to enter your hydroshare account information in order to access hydroshare buckets.
Here are the 3 notebooks in this resource:
- hydroshare_s3_bucket_access_examples.ipynb:
The above notebook has examples showing how to upload/download resource files from the resource bucket. It also contains examples how to list files and folders of a resource in a bucket.
- python-modules-direct-read-from-bucket/hs_bucket_access_gdal_example.ipynb:
The above notebook has examples for reading raster and shapefile from bucket using gdal without the need of downloading the file from the bucket to local disk.
- python-modules-direct-read-from-bucket/hs_bucket_access_non_gdal_example.ipynb
The above notebook has examples of using h5netcdf and xarray for reading netcdf file directly from bucket. It also contains examples of using rioxarray to read raster file, and pandas to read CSV file from hydroshare buckets.
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How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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