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| Type: | Resource | |
| Storage: | The size of this resource is 9.2 MB | |
| Created: | Feb 02, 2026 at 7:38 p.m. (UTC) | |
| Last updated: | Feb 06, 2026 at 3:39 p.m. (UTC) | |
| Citation: | See how to cite this resource |
| Sharing Status: | Public |
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| Views: | 41 |
| Downloads: | 40 |
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Abstract
This HydroShare resources 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.
Subject Keywords
Content
README.md
Demo of automated USGS water data retrieval, mapping, and visualization in R
This HydroShare resource contains a Jupyter Notebook designed to demonstrate the process of discovering, retrieving and visualizing water data from the USGS National Water Information System (NWIS) using the dataRetrieval R package. The goal is to provide a template for researchers to create computational narratives that are easily reusable and adaptable to different geographic locations and water quality or quantity parameters.
The contents in this HydroShare resource are:
notebook.ipynb: an R-based Jupyter notebook for demoing the fetching and visualization of USGS water dataimages/data_retrieval.png: a set of USGS-sourced images describing thedataRetrievalpackage
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
|---|---|---|
| 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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