Datasets
- 1 - 25 out of 136 results
Search results
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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