Datasets from the Baylor University Modernizing Water and Wastewater Treatment through Data Science Education and Research (Mo(Wa)²TER) program
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21 to 30 of 34 Results
Jun 16, 2023
Stanford, Ben; Mastin, Natalie; Cath, Tzahi Y.; Hering, Amanda S., 2022, "Reverse Osmosis Facility CIP Data", https://doi.org/10.7910/DVN/VURALX, Harvard Dataverse, V2
A dataset from a client of Hazen and Sawyer's, whose facility uses reverse osmosis (RO) to make brackish water drinkable. The data contain over 200 variables with more than 8000 observations with information on measurements used to determine when a clean-in-place (CIP) should occur for the system.
Jun 16, 2023
Mastin, Natalie; Hering, Amanda S.; Cath, Tzahi Y., 2022, "Wave-Driven Reverse Osmosis System", https://doi.org/10.7910/DVN/6DLHX4, Harvard Dataverse, V2
A dataset that contains experiment data from a hydrokinetic reverse osmosis pilot study. The study ran 11 experiments and collected observations every minute. To simulate the increase and decrease of pressure when non-continuous tidal energy is used to power the system, a sine wave is used to set the operating pressure between two values. The syste...
Jun 16, 2023
Mastin, Natalie; Cath, Tzahi Y.; Hering, Amanda S., 2023, "Geosmin (Taste & Odor) Prediction Study", https://doi.org/10.7910/DVN/ZBT2GG, Harvard Dataverse, V2
Geosmin is an unpleasant taste and odor compound naturally occuring in some water bodies that requires treatment. It produces a musty, earthy smell and taste in drinking water; however, it is not harmful at levels present in drinking water. This dataset contains measurements of geosmin and water quality at a water treatment plant.
Jun 16, 2023
Mastin, Natalie; Cath, Tzahi Y.; Hering, Amanda S., 2023, "Municipal City Water Filter Data", https://doi.org/10.7910/DVN/UOLGHO, Harvard Dataverse, V2
A dataset containing one year of filter data for 16 different dual-media (sand + anthracite coal) filters measured at 5-minute intervals. The goal is to compare filters to each other before and after media replacement. The media within the first three filters (1-3) had been replaced that year, and the remaining 13 filter medias (4-16) had not been...
Jun 16, 2023
Mastin, Natalie; Cath, Tzahi Y.; Hering, Amanda S., 2023, "City Water: CSMR at Plant #1 and Plant #2 Treatment Facilities", https://doi.org/10.7910/DVN/RGYTAY, Harvard Dataverse, V2
A dataset consisting of grab samples and daily samples from two water treatment plants between 2015 and 2021. Measurements of anions, pH, chlorine treatment, and total organic carbon (TOC) were taken over five years at both treatment plants. The data given were used to calculate the influent and effluent Chloride-to-Sulfate Mass Ratio (CSMR) for bo...
Jun 16, 2023
Mastin, Natalie; Cath, Tzahi Y.; Hering, Amanda S., 2023, "Aeration Data", https://doi.org/10.7910/DVN/EUW7TN, Harvard Dataverse, V2
The data come from a wastewater treatment facility that uses sensors to optimize aeration basin performance. In an aeration basin, air is pumped through water by large blowers to provide microbiota with oxygen, allowing them to metabolize and consume influent contaminants like ammonia and carbon. The rate at which influent contaminants are metaboli...
Jun 16, 2023
Mastin, Natalie; Cath, Tzahi Y.; Hering, Amanda S., 2023, "Wastewater Treatment Facility Data: Ammonia", https://doi.org/10.7910/DVN/C3XB64, Harvard Dataverse, V3
A dataset of water quality measurements at different locations in one of three activated sludge basin in a wastewater treatment facility. The activated sludge basin is divided into nine zones, which are shown in the provided process diagram and described in wwt_ammonia.Rd. Multiple probes are used to measure dissolved oxygen, ammonia, and nitrate c...
Jun 16, 2023
Subramanian, Rahul; Mastin, Natalie; Cath, Tzahi Y.; Hering, Amanda S., 2023, "Effluent Phosphorus Removal", https://doi.org/10.7910/DVN/TIZ50O, Harvard Dataverse, V3
A dataset containing daily observations from the J.D. Philips Resource Recovery wastewater treatment facility from June 2, 2020 to February 11, 2021. During the biological nutrient removal (BNR) phase of the wastewater treatment process, the plant uses biological filters to remove nutrients such as phosphorus and nitrogen. However, they are incapab...
Jun 16, 2023
Mastin, Natalie; Cath, Tzahi Y.; Hering, Amanda S., 2023, "Wastewater Treatment Facility Data: Phosphorus", https://doi.org/10.7910/DVN/GBY0HY, Harvard Dataverse, V2
A dataset from a wastewater treatment plant that filtered out phosphorus in the form of orthophosphate from water before discharging the water back into a creek. Chemical dosing using coagulants ferric and alum were used to aid in the removal of phosphorus. Data were collected from July 1, 2019 to January 31, 2020, from both laboratory grab samples...
Jun 16, 2023
Mastin, Natalie; Cath, Tzahi Y.; Hering, Amanda S., 2023, "Anaerobic Digester Data", https://doi.org/10.7910/DVN/VNZLYP, Harvard Dataverse, V2
A dataset containing the data from two separate studies: a pilot study spanning 2019-2020 and a full-scale study spanning 2021-2022. The studies are comprised of 1) data collected daily from an anaerobic digester facility and 2) carbon consumption rate (CCR) data taken every minute by bioelectric sensors and averaged daily. The sensors detect volat...
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