School of Computing, Engineering & Digital Technologies

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• 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

• A Data Driven Approach to Motion Diversification in relation to Body Morphology

  Shewhorak, S. (Creator), Zenodo, 27 Jun 2022

  DOI: 10.5281/zenodo.8069057, https://zenodo.org/record/8069057

  Dataset

• Evolution of cooperation and trust in an N-player social dilemma game with tags for migration decisions

  Dhakal, S. (Creator), Chiong, R. (Creator), Chica, M. (Creator) & Han, T. A. (Creator), Zenodo, 3 Apr 2022

  DOI: 10.5281/zenodo.6408968, https://zenodo.org/record/6408968

  Dataset

• Supplementary material from "Institutional incentives for the evolution of committed cooperation: ensuring participation is as important as enhancing compliance"

  Han, T. A. (Creator), The Royal Society, 2022

  DOI: 10.6084/m9.figshare.c.5880182.v1, https://rs.figshare.com/collections/Supplementary_material_from_Institutional_incentives_for_the_evolution_of_committed_cooperation_ensuring_participation_is_as_important_as_enhancing_compliance_/5880182/1

  Dataset

• 210Pb-dated historical lake sediment metal concentrations from The Lake District, England (mid-19th century to 2016)

  Turner, S. D. (Creator), Yang, H. (Creator), Rose, N. L. (Creator), Shilland, J. (Creator), Bennion, H. (Creator), Jones, V. (Creator), Sayer, C. (Creator), Baker, A. (Creator), Roberts, C. (Creator), Bishop, I. (Creator), Turner, S. D. (Contributor), London, U. C. (Contributor) & Centre, N. E. E. I. D. (Contributor), NERC EDS Environmental Information Data Centre, 2022

  DOI: 10.5285/87dec506-ca7f-4b57-a605-486ec9d8cca2, https://catalogue.ceh.ac.uk/id/87dec506-ca7f-4b57-a605-486ec9d8cca2

  Dataset

• Supporting Information from Institutional incentives for the evolution of committed cooperation: ensuring participation is as important as enhancing compliance

  Han, T. A. (Creator), The Royal Society, 2022

  DOI: 10.6084/m9.figshare.19317338.v1, https://rs.figshare.com/articles/journal_contribution/Supporting_Information_from_Institutional_incentives_for_the_evolution_of_committed_cooperation_ensuring_participation_is_as_important_as_enhancing_compliance/19317338/1

  Dataset

• Supplementary material from "Institutional incentives for the evolution of committed cooperation: ensuring participation is as important as enhancing compliance"

  Han, T. A. (Creator), The Royal Society, 2022

  DOI: 10.6084/m9.figshare.c.5880182, https://rs.figshare.com/collections/Supplementary_material_from_Institutional_incentives_for_the_evolution_of_committed_cooperation_ensuring_participation_is_as_important_as_enhancing_compliance_/5880182

  Dataset

• Supplementary material from "Cost efficiency of institutional incentives for promoting cooperation in finite populations"

  Duong, M. H. (Creator) & Han, T. A. (Creator), figshare, 2021

  DOI: 10.6084/m9.figshare.c.5647030.v1, https://rs.figshare.com/collections/Supplementary_material_from_Cost_efficiency_of_institutional_incentives_for_promoting_cooperation_in_finite_populations_/5647030/1

  Dataset

• Supplementary material from "Cost efficiency of institutional incentives for promoting cooperation in finite populations"

  Duong, M. H. (Creator) & Han, T. A. (Creator), The Royal Society, 2021

  DOI: 10.6084/m9.figshare.c.5647030, https://rs.figshare.com/collections/Supplementary_material_from_Cost_efficiency_of_institutional_incentives_for_promoting_cooperation_in_finite_populations_/5647030

  Dataset

• Avaliação da mobilidade de nanopartículas de ferro em meio poroso através de microtomografia de raios-x

  Pino, D. S. (Creator), Bertolo, R. A. (Creator), Pak, T. (Creator) & Archilha, N. L. (Creator), Zenodo, 2021

  DOI: 10.5281/zenodo.5720641, https://zenodo.org/record/5720641

  Dataset

• Coprophilous fungal spores: non-pollen palynomorphs for the study of past megaherbivores

  Van Asperen, E. N. (Contributor), Perrotti, A. (Creator), Baker, A. (Creator) & Asperen, E. N. V. (Creator), figshare, 2021

  DOI: 10.6084/m9.figshare.c.5240664.v2, https://geolsoc.figshare.com/collections/Coprophilous_fungal_spores_NPPs_for_the_study_of_past_megaherbivores/5240664/2

  Dataset

• Supporting Information from Cost efficiency of institutional incentives for promoting cooperation in finite populations

  Duong, M. H. (Creator) & Han, T. A. (Creator), figshare, 2021

  DOI: 10.6084/m9.figshare.16734559.v1, https://rs.figshare.com/articles/journal_contribution/Supporting_Information_from_Cost_efficiency_of_institutional_incentives_for_promoting_cooperation_in_finite_populations/16734559/1

  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

• 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

• A Very Condensed Survey and Critique of Multiagent Deep Reinforcement Learning

  International, C. O. A. A. A. M. S. 2. (Creator), Cimpeanu, T. (Creator) & Han, T. A. (Creator), 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

• MICROTOMOGRAFIA DE SOLOS CONTAMINADOS POR SOLVENTES ORGANOCLORADOS

  Pino, D. S. (Creator), Bertolo, R. A. (Creator), Pak, T. (Creator), Archilha, N. L. (Creator) & Bianco, C. (Creator), Zenodo, 2020

  DOI: 10.5281/zenodo.5727988, https://zenodo.org/record/5727988

  Dataset

• Coprophilous fungal spores: non-pollen palynomorphs for the study of past megaherbivores

  Van Asperen, E. N. (Contributor), Perrotti, A. (Creator), Baker, A. (Creator) & Asperen, E. N. V. (Creator), Geological Society of London, 2020

  DOI: 10.6084/m9.figshare.c.5240664, https://geolsoc.figshare.com/collections/Coprophilous_fungal_spores_NPPs_for_the_study_of_past_megaherbivores/5240664

  Dataset

• Coprophilous fungal spores: NPPs for the study of past megaherbivores

  Van Asperen, E. N. (Contributor), Perrotti, A. (Creator), Baker, A. (Creator) & Asperen, E. N. V. (Creator), Geological Society of London, 2020

  DOI: 10.6084/m9.figshare.c.5240664.v1, https://geolsoc.figshare.com/collections/Coprophilous_fungal_spores_NPPs_for_the_study_of_past_megaherbivores/5240664/1

  Dataset

• Dataset for "Understanding Performance Concerns in the API Documentation of Data Science Libraries"

  Tao, Y. (Creator), Jiang, J. (Creator), Liu, Y. (Creator), Xu, Z. (Creator) & Qin, S. (Creator), Zenodo, 2020

  DOI: 10.5281/zenodo.3972069, https://zenodo.org/record/3972069

  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

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

  Angione, C. (Creator), Conway, M. (Creator) & Lió, P. (Contributor), 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

• Additional file 2 of Multiplex methods provide effective integration of multi-omic data in genome-scale models

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

  DOI: 10.6084/m9.figshare.10035338.v1, https://springernature.figshare.com/articles/Additional_file_2_of_Multiplex_methods_provide_effective_integration_of_multi-omic_data_in_genome-scale_models/10035338/1

  Dataset

• NPI-006-Reconstructed

  Pak, T. (Contributor), Archilha, N. L. (Creator), Mantovani, I. F. (Contributor), Moreira, A. C. (Creator) & Butler, I. B. (Creator), figshare, 1 Jan 2019

  DOI: 10.6084/m9.figshare.6954650.v1, https://springernature.figshare.com/articles/NPI-006-Reconstructed/6954650/1

  Dataset

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

  Angione, C. (Creator), Conway, M. (Creator) & Lió, P. (Contributor), figshare, 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. (Creator), Conway, M. (Creator) & Lió, P. (Contributor), figshare, 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