Datasets from the Baylor University Modernizing Water and Wastewater Treatment through Data Science Education and Research (Mo(Wa)²TER) program
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31 to 34 of 34 Results
Reverse Osmosis Membrane Fouling Data
Reverse Osmosis Membrane Fouling Data
Jun 15, 2023
Gu, Han; Patel, Mehul; Mastin, Natalie; Cath, Tzahi Y.; Hering, Amanda S., 2023, "Reverse Osmosis Membrane Fouling Data", https://doi.org/10.7910/DVN/PVY3QD, Harvard Dataverse, V2
The Orange County reverse osmosis (RO) dataset contains data collected daily from 21 units of RO membranes from January, 1, 2019 to January 13, 2020. They are categorized into seven banks (a.k.a., arrays) labeled with a letter A to G, and each one is further split into three stages (1 to 3). The number of membrane elements installed in each stage o...
Mines Fault Detection Data
Mines Fault Detection Data
Jun 15, 2023
Klanderman, Molly; Mastin, Natalie; Hering, Amanda S.; Cath, Tzahi Y., 2022, "Mines Fault Detection Data", https://doi.org/10.7910/DVN/G8LCHB, Harvard Dataverse, V2
A water quality data set from the Colorado School of Mines Wastewater Treatment Plant (Mines Park) used to predict faults. Observations are recorded every 10 minutes from April 10, 2010 at 6:10 AM to May 11, 2010 at 5:00 AM. A fault was identified on April 24, 2010 at 10:00 AM.
Cloth Filter Data
Cloth Filter Data
Mar 15, 2023
Caliskaner, Onder; Reid, Terence K.; Mastin, Natalie; Cath, Tzahi Y.; Hering, Amanda S., 2023, "Cloth Filter Data", https://doi.org/10.7910/DVN/NKWRCR, Harvard Dataverse, V1
A list of two data frames that summarize the performance of Aqua Aerobic Systems, Inc. cloth filters for primary wastewater treatment at BC Labs. Cloth filters should treat more wastewater to a higher quality with a smaller physical footprint than a traditional primary clarifier. The first data frame contains laboratory data measuring influent and...
Fault Detection Data for Direct Potable Reuse (DPR) Trailer
Fault Detection Data for Direct Potable Reuse (DPR) Trailer
Oct 26, 2022
Manross, Mason; Mastin, Natalie; Hering, Amanda S.; Cath, Tzahi Y., 2022, "Fault Detection Data for Direct Potable Reuse (DPR) Trailer", https://doi.org/10.7910/DVN/DAFK1I, Harvard Dataverse, V2
This dataset was obtained from a direct potable reuse trailer built by a team under the supervision of Dr. Tzahi Cath at Colorado School of Mines. The data were provided for exploration of establishing normal operating conditions and identifying failures of the system or a component to maintain these conditions. The data consists of seventy-one ses...
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