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| Type: | Collection | |
| Storage: | The size of this collection is 0 bytes | |
| Created: | Sep 15, 2025 at 4:15 p.m. (UTC) | |
| Last updated: | Oct 14, 2025 at 7:43 p.m. (UTC) | |
| Citation: | See how to cite this resource |
| Sharing Status: | Public |
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| Views: | 61 |
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Abstract
This HydroShare collection contains three resources. The two datasets in the collection were used in the study ‘Artificial Intelligence to Assist Small Water Treatment Plant Operations.’ The first dataset (Raw Data) contains historical water treatment and Oklahoma Mesonet weather records from 2011–2024 in unprocessed form. The second dataset (Cleaned Data) is the processed and merged version of the same data, cleaned for duplicates, and missing values were removed. Together, they provide a transparent data pipeline from raw input to AI-ready dataset for modeling alum dosing.
Subject Keywords
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Coverage
Spatial
Coordinate System/Geographic Projection:
WGS84 EPSG:4326
Coordinate Units:
['Decimal degrees']
Longitude
-97.0971°
Latitude
36.1213°
Temporal
| Start Date: | |
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| End Date: |
Collection Contents
| Add | Title | Type | Owners | Sharing Status | Remove |
|---|---|---|---|---|---|
| Raw Water Quality and Weather Dataset for AI-based Alum Prediction (2011–2024) | Resource | CUAHSI Publisher | Published & Shareable | ||
| Python Script for Cleaning Alum Dataset | Resource | Saikumar Payyavula | Public & Shareable | ||
| Cleaned Water Quality and Weather Dataset for AI-based Alum Prediction (2011–2024) | Resource | Saikumar Payyavula | Public & Shareable |
How to Cite
payyavula, s., J. Sadler (2025). Water & Weather Datasets for Alum Prediction (2011–2024), HydroShare, http://www.hydroshare.org/resource/30410a9f100b4c53ad7c3bb2324f3945
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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