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| Type: | Resource | |
| Storage: | The size of this resource is 143.9 MB | |
| Created: | Nov 24, 2018 at 8:12 p.m. | |
| Last updated: | Nov 24, 2018 at 8:19 p.m. | |
| Citation: | See how to cite this resource |
| Sharing Status: | Public |
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| Views: | 2015 |
| Downloads: | 38 |
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Abstract
This resource presents an example method for taking raw GAMUT sensor data and calculating daily averages across a given time period using the Python programming language. The example code here uses turbidity as an example, but other variables and timescales can use a similar method. This resource was created as part of the coursework associated with CEE6110 at Utah State University.
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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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