School of Computing, Engineering & Digital Technologies

X-ray computed micro-tomography dataset for nanoparticle-based oil removal from porous media

Pak, T. (Creator), Lopes Archilha, N. (Creator), Frangiotti Mantovani, I. (Creator), Camargo Moreira, A. (Creator) & Butler, I. B. (Creator), Springer, 31 Jan 2024

DOI: https://doi.org/10.6084/m9.figshare.c.4190738.v1, https://springernature.figshare.com/collections/X-ray_computed_micro-tomography_dataset_for_nanoparticle-based_oil_removal_from_porous_media/4190738

Dataset

Data for: Modelling viscosity of liquid dropout near wellbore region in gas-condensate reservoirs using modern numerical approaches.

Faraji, F. (Contributor), Mendeley Data, 31 Mar 2020

DOI: 10.17632/wtrc6p938g.1, https://data.mendeley.com/datasets/wtrc6p938g

Dataset

A Very Condensed Survey and Critique of Multiagent Deep Reinforcement Learning

International, C. O. A. A. A. M. S. 2. (Contributor), Cimpeanu, T. (Contributor) & Han, T. A. (Contributor), Underline Science Inc., 1 Jan 2020

DOI: 10.48448/ebhd-gq04, https://underline.io/lecture/315-a-very-condensed-survey-and-critique-of-multiagent-deep-reinforcement-learning

Dataset

Lightweighting of Wishbone Finite Element Analysis

Shuxian, W. (Contributor), Chong, P. L. (Contributor) & Hughes, D. (Contributor), Institute of Fundamental Technological Research, 1 Jan 2020

DOI: 10.24423/engtrans.1069.20200211, https://doi.org/10.24423%2Fengtrans.1069.20200211

Dataset

X-ray computed tomography Dataset

Pak, T. (Creator), Lopes Archilha, N. (Creator), de Lima Luz Jr, L. F. (Creator), Tosco, T. (Creator), Rodrigues Rangel Rosa, P. (Creator) & Schubert Ruiz Costa, G. (Creator), figshare, 31 May 2019

DOI: doi.org/10.6084/m9.figshare.12053607.v1, https://figshare.com/articles/X-ray_computed_tomography_images/12053607/1

Dataset

of Multiplex methods provide effective integration of multi-omic data in genome-scale models

Angione, C. (Contributor), Conway, M. (Creator) & Liรณ, P. (Contributor), figshare, 1 Jan 2019

DOI: 10.6084/m9.figshare.10035350.v1, https://springernature.figshare.com/articles/of_Multiplex_methods_provide_effective_integration_of_multi-omic_data_in_genome-scale_models/10035350/1

Dataset

of Multiplex methods provide effective integration of multi-omic data in genome-scale models

Angione, C. (Contributor), Conway, M. (Creator) & Liรณ, P. (Creator), figshare, 1 Jan 2019

DOI: 10.6084/m9.figshare.10035341.v1, https://springernature.figshare.com/articles/of_Multiplex_methods_provide_effective_integration_of_multi-omic_data_in_genome-scale_models/10035341/1

Dataset

of Multiplex methods provide effective integration of multi-omic data in genome-scale models

Angione, C. (Contributor), Conway, M. (Creator) & Liรณ, P. (Creator), figshare, 1 Jan 2019

DOI: 10.6084/m9.figshare.10035344.v1, https://springernature.figshare.com/articles/of_Multiplex_methods_provide_effective_integration_of_multi-omic_data_in_genome-scale_models/10035344/1

Dataset

Additional file 1 of Multiplex methods provide effective integration of multi-omic data in genome-scale models

Angione, C. (Contributor), Conway, M. (Creator) & Liรณ, P. (Creator), figshare, 1 Jan 2019

DOI: 10.6084/m9.figshare.10035335.v1, https://springernature.figshare.com/articles/Additional_file_1_of_Multiplex_methods_provide_effective_integration_of_multi-omic_data_in_genome-scale_models/10035335/1

Dataset