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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 6.5 MB | |
| Created: | Feb 02, 2026 at 7:38 p.m. (UTC) | |
| Last updated: | Mar 12, 2026 at 12:53 p.m. (UTC) (Metadata update) | |
| Published date: | Mar 12, 2026 at 12:53 p.m. (UTC) | |
| DOI: | 10.4211/hs.5249e9b2471941f1b12dad34c9ddf6fb | |
| Citation: | See how to cite this resource |
| Sharing Status: | Published |
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| Views: | 1415 |
| Downloads: | 442 |
| +1 Votes: | 1 other +1 this |
| Comments: | No comments (yet) |
Abstract
This HydroShare resource contains an educational Jupyter Notebook demoing how to access, process and visualize water data from the United States Geological Survey (USGS). The notebook leverages the dataRetrieval R package to programmatically discover monitoring sites based on their proximity to a user-defined landmark and visualize time series water data.
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Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
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| U.S. National Science Foundation | Sustained Resources: Advancing Water Science Through Integrated Water Data Management and Community Support | 2535162 |
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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