USGS dataretrieval Python Package Usage Examples
Authors: | |
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Owners: | Jeffery S. Horsburgh |
Type: | Resource |
Storage: | The size of this resource is 125.3 KB |
Created: | Aug 31, 2021 at 4:21 a.m. |
Last updated: | Oct 06, 2024 at 1:10 a.m. |
Citation: | See how to cite this resource |
Sharing Status: | Public |
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Views: | 5703 |
Downloads: | 1551 |
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Abstract
This resource contains a set of Jupyter Notebooks that provide Python code examples for using the Python dataretrieval package for retrieving data from the United States Geological Survey's (USGS) National Water Information System (NWIS).The dataretrieval package is a Python alternative to USGS-R's dataRetrieval package for the R Statistical Computing Environment used for obtaining USGS or Environmental Protection Agency (EPA) water quality data, streamflow data, and metadata directly from web services. The dataretrieval Python package is an alternative to the R package, not a port, in that it reproduces the functionality of the R package but its organization and functionality differ to some degree. The dataretrieval package was originally created by Timothy Hodson at USGS. Additional contributions to the Python package and these Jupyter Notebook examples were created at Utah State University under funding from the National Science Foundation. A link to the GitHub source code repository for the dataretrieval package is provided in the related resources section below.
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Related Resources
This resource is described by | GitHub repository for the USGS Python dataretrieval package: https://github.com/USGS-python/dataretrieval |
Credits
Funding Agencies
This resource was created using funding from the following sources:
Agency Name | Award Title | Award Number |
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United States Geological Survey | ||
National Science Foundation | Collaborative Research: Elements: Advancing Data Science and Analytics for Water (DSAW) | 1931297 |
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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