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Raw Water Quality and Weather Dataset for AI-based Alum Prediction (2011–2024)

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 672.9 KB
Created:	Sep 08, 2025 at 3:24 p.m. (UTC)
Last updated:	Oct 20, 2025 at 3:07 p.m. (UTC)
Published date:	Oct 20, 2025 at 3:07 p.m. (UTC)
DOI:	10.4211/hs.e9e15a82b2ea4a7b98146a99e4b52614
Citation:	See how to cite this resource
Content types:	CSV Content

Sharing Status:	Published
Views:	65
Downloads:	0
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Abstract

This dataset contains daily raw water treatment plant operational data and Oklahoma Mesonet weather data collected from 2011–2024. It includes inflow, pH, turbidity, alkalinity, alum dosage, and daily aggregated weather attributes such as TMAX, TMIN, humidity, and pressure. Data is provided in raw, pre-cleaning form for reproducibility.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:

WGS 84 EPSG:4326

Coordinate Units:

Decimal degrees

Longitude

-97.0971°

Latitude

36.1213°

Temporal

Start Date:
End Date:

Content

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Related Resources

The content of this resource can be executed by

https://www.hydroshare.org/resource/6e58232cbf3346619ec37bbc51ba513d/

This resource belongs to the following collections:

Title	Owners	Sharing Status	My Permission
Water & Weather Datasets for Alum Prediction (2011–2024)	Saikumar Payyavula · Jeff Sadler	Public & Shareable	Open Access

Credits

Funding Agencies

This resource was created using funding from the following sources:

Agency Name	Award Title	Award Number
United States Geological Survey

How to Cite

payyavula, s., J. Sadler (2025). Raw Water Quality and Weather Dataset for AI-based Alum Prediction (2011–2024), HydroShare, https://doi.org/10.4211/hs.e9e15a82b2ea4a7b98146a99e4b52614

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/

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