1 to 10 of 17 Results
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... |
Python Source Code - 1.6 KB -
MD5: 9160b55f07c5a14cdebec7d4ed60e205
The Python file to connect NOMAD to Aspen Plus for the cumin standardization case study. |
Python Source Code - 1.9 KB -
MD5: 0b77f95d1d7b0a24fb7c4d5fdc39f2d0
The Python file to connect NOMAD to Aspen Plus for the eucalyptus standardization case study. |
Unknown - 4.6 MB -
MD5: fca7e6ba8d01f329641a6ca06b1c9498
The Aspen Plus simulation for cumin essential oil standardization. |
Unknown - 4.7 MB -
MD5: dd73fc42e25806b8302ffbdca5090c3e
The Aspen Plus simulation for eucalyptus essential oil standardization. |
Plain Text - 565 B -
MD5: 6ac7886450989d20cccc9ae4eec0c8f5
Parameters file defining the initialization and the optimization problem for the eucalyptus standardization process. This file serves as the parameters file for the NOMAD solver. Make sure when you download it, to rename to param.txt. |
Plain Text - 580 B -
MD5: 058b19e4aef84cc10295d8e035f6a3d3
Parameters file defining the initialization and the optimization problem for the cumin standardization process. This file serves as the parameters file for the NOMAD solver. |
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... |
Nov 8, 2022 -
Single-Cell Level Estrogen Receptor Activity Data
Tabular Data - 3.8 KB - 3 Variables, 40 Observations - UNF:6:QZX+AfOLx4MP44yzQW51Gw==
|
Nov 8, 2022 -
Single-Cell Level Estrogen Receptor Activity Data
Tabular Data - 47.7 MB - 218 Variables, 15157 Observations - UNF:6:3XXdeWYmIDscKqJDlgUE/A==
|