11 to 20 of 34 Results
Nov 29, 2023
Weix, Derek; Chowdhury, Dhruba; Kuras, Aurora; Villez, Kris; Cath, Tzahi Y.; Hering, Amanda S., 2023, "Replication Data for: Multidisciplinary Team-Based Projects: When the Modeling is Easy but Integration into the Problem is Hard", https://doi.org/10.7910/DVN/PV5TJX, Harvard Dataverse, V1, UNF:6:D08ydV83LFq2+C+LZW7MEA== [fileUNF]
Data and R scripts corresponding to the analysis in the paper Weix, D., Chowdhury, D., Kuras, A., Villez, K., Cath, T.Y., Hering. A.S. "Multidisciplinary Team-Based Projects: When the Modeling is Easy but Integration into the Problem is Hard." All plots in the paper are generated using these data and R scripts. |
Oct 25, 2023
Mastin, Natalie; Durell, Luke; Brooks, Bryan W.; Hering, Amanda S., 2023, "Replication Data for: Advancing Statistical Treatment of Photolocomotor Behavioral Response Study Data", https://doi.org/10.7910/DVN/2XEL5H, Harvard Dataverse, V1
Supplemental code and data to reproduce the results in Mastin, N., Durell, L., Brooks, B.W., Hering, A.S. "Advancing Statistical Treatment of Photolocomotor Behavioral Response Study Data" |
Sep 26, 2023
Footracer, Cheyenne; Weix, Derek; Cath, Tzahi Y.; Hering, Amanda S., 2023, "Replication Data for: Monitoring Covariance in Multivariate Time Series: Comparing Machine Learning and Statistical Approaches", https://doi.org/10.7910/DVN/AK2EMH, Harvard Dataverse, V1, UNF:6:fdAH/2udJW+3xA+A+0VHYg== [fileUNF]
Data and code to reproduce the results in Weix D., Cath T. Y., and Hering A. S. “Monitoring Covariance in Multivariate Time Series: Comparing Machine Learning and Statistical Approaches”. Under Review with Quality and Reliability Engineering International |
Aug 25, 2023
Kuras, Aurora; Privett, Hunter J.; Cath, Tzahi Y.; Hering, Amanda S., 2023, "CCRO Functional Fault Detection Study", https://doi.org/10.7910/DVN/8D8TFY, Harvard Dataverse, V2
A dataset from a closed circuit reverse osmosis (CC-RO) pilot system from October 2, 2021 at 2:56 PM to October 19, 2021 at 2:49 PM with four measurements recorded every second. The CC-RO system health is determined by membrane performance, which is monitored via the mass transfer coefficient (MTC). This should remain constant over time but can var... |
Aug 1, 2023
Durell, Luke; Scott, J. Thad; Hering, Amanda S., 2023, "Replication Data for: Hybrid Forecasting for Functional Time Series of Dissolved Oxygen Profiles", https://doi.org/10.7910/DVN/JNLT1S, Harvard Dataverse, V1
Supplemental code and data to reproduce the model results in Durell, L., Scott, J. T., and Hering, A. S. “Hybrid Forecasting for Functional Time Series of Dissolved Oxygen Profiles”. Data Science in Science, 2:1, DOI: 10.1080/26941899.2022.2152401 |
Aug 1, 2023
Durell, Luke; Scott, J. Thad; Nychka, Douglas; Hering, Amanda S., 2023, "Replication Data for: Functional Forecasting of Dissolved Oxygen in High-Frequency Vertical Lake Profiles", https://doi.org/10.7910/DVN/235LII, Harvard Dataverse, V1
Supplemental code and data to reproduce the models and results for Durell, L., Scott, J. T., Nychka, D., and Hering, A. S. “Functional Forecasting of Dissolved Oxygen in High-Frequency Vertical Lake Profiles”. Published in Environmetrics. The data provided are the final cleaned and imputed data used in the paper. |
Aug 1, 2023
Ramey, Wayne; Wolf, Dan; Mastin, Natalie; Cath, Tzahi Y.; Hering, Amanda S., 2023, "Aeration Basin Biomass Comparison Data", https://doi.org/10.7910/DVN/YGYW6S, Harvard Dataverse, V2
A dataset that comes from the Rock Creek wastewater treatment plant (WWTP), which is a conventional treatment plant that has two aeration basins named East and West. To adjust operation, the total mass of biosolids in the system (activated sludge basin) is measured and compared to a target. If the amount of solids is greater than the target, the so... |
Aug 1, 2023
Kuras, Aurora; Privett, Hunter J.; Cath, Tzahi Y.; Hering, Amanda S., 2023, "SBMBR 2021 Functional Fault Detection Study", https://doi.org/10.7910/DVN/TQDGQ3, Harvard Dataverse, V1, UNF:6:ffHNICqC0/5UMAZBfq02lg== [fileUNF]
A dataset from a demonstration-scale SB-MBR system called Mines Park at Colorado School of Mines from November 22, 2020 at 12:02 AM to February 21, 2021 at 12:52 AM. The method of ultrafiltration used in the system alternates between periods of flux permeation and short backwashes, such that the flux permeation periods can be modeled as distinct fu... |
Aug 1, 2023
Kuras, Aurora; Privett, Hunter J.; Cath, Tzahi Y.; Hering, Amanda S., 2023, "SBMBR 2018 Functional Fault Detection Study", https://doi.org/10.7910/DVN/6RC3OJ, Harvard Dataverse, V1, UNF:6:5W2vZdXmGRLZpWwTQpDWGg== [fileUNF]
A dataset from a demonstration-scale SB-MBR system in Mines Park at Colorado School of Mines from June 01, 2018 at 12:04 AM to September 5, 2018 at 1:40 PM. The method of ultrafiltration used in the system alternates between periods of flux permeation and short backwashes, such that the flux permeation periods can be modeled as distinct functions o... |
Jun 16, 2023
Stanford, Ben; Mastin, Natalie; Cath, Tzahi Y.; Hering, Amanda S., 2022, "Filter Backwash and Dosing Data", https://doi.org/10.7910/DVN/IPKPC1, Harvard Dataverse, V2
Hazen and Sawyer have provided data from a water treatment plant that utilizes filters to treat water by removing contaminants through physical processes. These filters are maintained with backwashing, which removes particles in the filter by reversing the flow with clean water. The dataset consists of four elements: (i) a data frame containing a t... |