This dataverse stores and shares the data analyzed or generated at the Hybrid Modeling and Systems Engineering Laboratory of Dr. Burcu Beykal in the Department of Chemical & Biomolecular Engineering and the Center for Clean Energy Engineering at the University of Connecticut.
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Oct 20, 2023 - Process Design Datasets
Nikkhah, Ali; Nikkhah, Hasan; Shahbazi, Amir; Kamelan Zargar Zarin, Mona; Beykal Iz, Duygu; Ebadi, Mohammad-Taghi; Fakhroleslam, Mohammad; Beykal, Burcu, 2023, "Cumin and Eucalyptus Essential Oil Standardization Using Fractional Distillation", https://doi.org/10.7910/DVN/QOBGVF, Harvard Dataverse, V1
This dataset contains the Aspen Plus (V12) simulations for the cumin and eucalyptus essential oil standardization with a fractional distillation column, as well as the initialization routines for data-driven optimization with NOMAD solver. The latest version of NOMAD can be downloaded from: https://www.gerad.ca/en/software/nomad/. The Python files...
Process Design Datasets(University of Connecticut)
Oct 20, 2023
Jul 19, 2023 - Superfund Datasets
Aghayev, Zahir; Szafran, Adam T.; Tran, Anh; Ganesh, Hari S.; Stossi, Fabio; Zhou, Lan; Mancini, Michael A.; Pistikopoulos, Efstratios N.; Beykal, Burcu, 2022, "Single-Cell Level Estrogen Receptor Activity Data", https://doi.org/10.7910/DVN/NIBGOQ, Harvard Dataverse, V2, UNF:6:kuFz9jMAW9JIhtRrmokwTQ== [fileUNF]
This dataset contains normalized single-cell level data for 60 reference compounds analyzed with high throughput microscopy and high content analysis-based experiments that were performed using the GFP-ER⍺:PRL-HeLa cell line. The multidimensional imaging data was used to train a classification model to ultimately predict the impact of unknown compo...
Superfund Datasets(University of Connecticut)
Nov 6, 2022
This dataverse contains datasets analyzed for the projects housed under the Texas A&M Superfund Research Center by our research group.
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