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||This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (firstname.lastname@example.org) for information on this resource.|
|Storage:||The size of this resource is 25.1 KB|
|Created:||May 17, 2019 at 7:28 p.m.|
|Last updated:|| Jun 27, 2020 at 12:34 p.m.
|Citation:||See how to cite this resource|
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The purpose of this resource is to demonstrate how the CUAHSI JupyterHub platform can be used to perform basic hydrologic data analysis. Temperature data is collected via the CUAHSI Hydrologic Information System (HIS) using web services. These data are organized using Python classes, and plotted in various ways to demonstrate common data analysis steps.
|Title||Owners||Sharing Status||My Permission|
|CUAHSI Data Clinic - 2019 CSDMS Conference, Boulder, CO||Danielle Tijerina||Private & Shareable||None|
|CUAHSI compute services for working with data in the cloud||Anthony Castronova||Public & Shareable||Open Access|
How to Cite
This resource is shared under the Creative Commons Attribution-ShareAlike CC BY-SA.http://creativecommons.org/licenses/by-sa/4.0/