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| Type: | Collection | |
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| Created: | Feb 17, 2022 at 2:48 p.m. | |
| Last updated: | Feb 17, 2022 at 3:14 p.m. | |
| Citation: | See how to cite this resource |
| Sharing Status: | Public |
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| Views: | 1226 |
| Downloads: | 29 |
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Abstract
This collection is comprised of resources with code examples that support educational materials for hydroinformatics and water data science. Each resource contains Jupyter notebooks and associated datasets. Complete learning module materials are found in HydroLearn: Jones, A.S., Horsburgh, J.S., Bastidas Pacheco, C.J. (2022). Hydroinformatics and Water Data Science. HydroLearn. https://edx.hydrolearn.org/courses/course-v1:USU+CEE6110+2022/about.
The resources and code examples are:
1. Programmatic Data Access with USGS Data Retrieval
2. Sensor Data Quality Control with pyhydroqc
3. Databases and SQL in Python
4. Introduction to Machine Learning with Residential Water Use Data
Subject Keywords
Deleting all keywords will set the resource sharing status to private.
Collection Contents
| Add | Title | Type | Owners | Sharing Status | Remove |
|---|---|---|---|---|---|
| Hydroinformatics Instruction Module Example Code: Programmatic Data Access with USGS Data Retrieval | Resource | Amber Jones | Public & Shareable | ||
| Hydroinformatics Instruction Module Example Code: Sensor Data Quality Control with pyhydroqc | Resource | Amber Jones | Public & Shareable | ||
| Hydroinformatics Instruction Module Example Code: Introduction to Machine Learning with Residential Water Use Data | Resource | Amber Jones | Public & Shareable | ||
| Hydroinformatics Instruction Module Example Code: Databases and SQL in Python | Resource | Amber Jones | Public & Shareable |
Related Resources
| This resource is required by | Jones, A.S., Horsburgh, J.S., Bastidas Pacheco, C.J. (2022). Hydroinformatics and Water Data Science. HydroLearn. https://edx.hydrolearn.org/courses/course-v1:USU+CEE6110+2022/about |
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
|---|---|---|
| National Science Foundation | Collaborative Research: Elements: Advancing Data Science and Analytics for Water (DSAW) | 1931297 |
How to Cite
Jones, A. S., J. S. Horsburgh, C. J. Bastidas Pacheco (2022). Hydroinformatics Instruction Modules Example Code, HydroShare, http://www.hydroshare.org/resource/761d75df3eee4037b4ff656a02256d67
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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