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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 2.4 MB | |
| Created: | Jul 24, 2020 at 4:29 p.m. | |
| Last updated: | Feb 22, 2021 at 5:29 p.m. | |
| Citation: | See how to cite this resource |
| Sharing Status: | Public |
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| Views: | 1147 |
| Downloads: | 111 |
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| Comments: | No comments (yet) |
Abstract
The purpose of this resource is to demonstrate how the CUAHSI JupyterHub platform can be used to perform basic hydrologic data analysis. Temperature data was collected from the NOAA Global Historical Climatology network for two sites in the greater Seattle area. These data are organized using Python classes, and plotted in various ways to demonstrate common data analysis steps.
For more information about the GHCN data included in this resource, see; https://docs.opendata.aws/noaa-ghcn-pds/readme.html
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Coverage
Spatial
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| The content of this resource is derived from | http://www.hydroshare.org/resource/509f691cd8444127a03ba036d0ecd3e0 |
| Title | Owners | Sharing Status | My Permission |
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| Test Collection, sharing | CZnet Support Account | Private & Shareable | None |
How to Cite
This resource is shared under the Creative Commons Attribution-ShareAlike CC BY-SA.
http://creativecommons.org/licenses/by-sa/4.0/
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