Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...
This resource contains some files/folders that have non-preferred characters in their name. Show non-conforming files/folders.
This resource contains content types with files that need to be updated to match with metadata changes. Show content type files that need updating.
| Authors: |
|
|
|---|---|---|
| Owners: |
|
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 659.5 KB | |
| Created: | Oct 15, 2019 at 8:51 a.m. | |
| Last updated: | Oct 15, 2019 at 8:59 a.m. | |
| Citation: | See how to cite this resource |
| Sharing Status: | Public |
|---|---|
| Views: | 1661 |
| Downloads: | 73 |
| +1 Votes: | Be the first one to this. |
| Comments: | No comments (yet) |
Abstract
This resource is a part of course on FAIR Science (EAPS 59100) offered at Purdue University by Dr. Merwade and Dr. Huber in Fall 2019.
This resource uses machine learning and a moving window analysis to predict the streamflow at a given location (USGS gauge) based on historical flows at the same location. This analysis is performed in python using Jupyter Notebook. This resource contains the python code, analysis (contained in jupyter notebook) and the observed streamflow timeseries (downloaded by the code automatically as csv file). The study site for this resource is the Eel River at North Manchester, IN (USGS 03328000).
Subject Keywords
Content
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
Comments
There are currently no comments
New Comment