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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 1.1 MB | |
Created: | Nov 29, 2021 at 10:20 p.m. | |
Last updated: | Dec 14, 2021 at 4:58 p.m. | |
Citation: | See how to cite this resource |
Sharing Status: | Public |
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Views: | 1415 |
Downloads: | 73 |
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Abstract
This resource illustrates how data and code can be combined together to support hydrologic analyses. It was developed June 2020 as part of a HydroLearn Hackathon.
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Content
Readme.md
This resource is part of a short HydroLearn module to illustrate the embedding of data and python code into HydroLearn.
Audience
The primary audience is instructors developing content for HydroLearn that includes code execution as part of the learning activities, but it may be of use to anyone who wants a simple Python data analysis example.
To use this Resource
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At the top right click on "Open With" to open the HydroShare resource on the compute platform selected. Pick whichever of CUAHSI JupyterHub or CyberGIS-Jupyter for Water you wish to use.
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Once JupyterHub opens click to open the file 'FlowFromSnow.ipynb'
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Follow the instructions in the notebook to perform the illustrative analysis it holds relating maximum annual streamflow to maximum snow water equivalent for a specific location.
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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