Datasets
- 15 results
Search results
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Lithium-ion battery degradation dataset based on a realistic forklift operation profile
Vilsen, S. B. (Creator) & Stroe, D. (Creator), Mendeley Data, 29 Aug 2023
Dataset
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Severity and 90-day survival of SARS-CoV-2 infection among patients with haematological disorders
Glenthøj, A. (Creator), Jakobsen, L. H. K. (Creator), Bjørn, M. E. (Creator), Poulsen, C. B. (Creator), Sengeløv, H. (Creator), Severinsen, M. T. (Creator), Qvist, K. (Creator), Overgaard, U. M. (Creator), Ahmad, S. A. (Creator), Rewes, A. (Creator), Mølle, I. (Creator), Strandholdt, C. N. (Creator), Kodahl, A. R. (Creator), Ryg, J. (Creator), Brieghel, C. (Creator), Johansen, I. S. (Creator), Kannik, K. (Creator), Jensen-Fangel, S. (Creator), Wiese, L. (Creator), Kirk, O. (Creator), Clausen, M. R. (Creator), Helleberg, M. (Creator) & Frederiksen, H. (Creator), Taylor & Francis, 2022
DOI: 10.6084/m9.figshare.18585389.v1, https://tandf.figshare.com/articles/journal_contribution/Severity_and_90-day_survival_of_SARS-CoV-2_infection_among_patients_with_haematological_disorders/18585389/1
Dataset
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MCMC computations for Bayesian mixture models using repulsive point processes
Beraha, M. (Creator), Argiento, R. (Creator), Møller, J. (Creator) & Guglielmi, A. (Creator), Taylor & Francis, 9 Nov 2021
DOI: 10.6084/m9.figshare.16967325.v1, https://tandf.figshare.com/articles/dataset/MCMC_computations_for_Bayesian_mixture_models_using_repulsive_point_processes/16967325/1
Dataset: Supplementary material
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Semiparametric Multinomial Logistic Regression for Multivariate Point Pattern Data
Hessellund, K. B. (Creator), Xu, G. (Contributor), Guan, Y. (Contributor) & Waagepetersen, R. (Creator), Taylor & Francis, 2021
DOI: 10.6084/m9.figshare.13395532.v2, https://doi.org/10.6084%2Fm9.figshare.13395532.v2
Dataset: Supplementary material
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Datasæt for losscalculation paper
Schwefel, H. C. (Creator), Rasmussen, J. G. (Contributor), Olsen, R. L. (Creator) & Silva, N. (Contributor), VBN, 1 May 2020
DOI: 10.5278/6bb859cf-eb1e-405d-9336-ce41d322a5eb
Dataset
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Datasæt for sing Smart Meter measurements to manage accuracy of current calculations in LV feeders. In 2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids
Schwefel, H. C. (Creator), Rasmussen, J. G. (Contributor), Olsen, R. L. (Creator), Ringgard, H. (Other) & Silva, N. (Other), VBN, 1 May 2020
DOI: 10.5278/0ee24613-ea3f-422e-ad4e-a2ee60bd67f1
Dataset
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Additional file 2 of On Jones et al.’s method for extending Bland-Altman plots to limits of agreement with the mean for multiple observers
Christensen, H. S. (Creator), Borgbjerg, J. (Creator), Børty, L. (Creator) & Bøgsted, M. (Creator), Figshare, 2020
DOI: 10.6084/m9.figshare.13467197.v1, https://doi.org/10.6084%2Fm9.figshare.13467197.v1
Dataset
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Additional file 3 of On Jones et al.’s method for extending Bland-Altman plots to limits of agreement with the mean for multiple observers
Christensen, H. S. (Creator), Borgbjerg, J. (Creator), Børty, L. (Creator) & Bøgsted, M. (Creator), Figshare, 2020
DOI: 10.6084/m9.figshare.13467199.v1, https://doi.org/10.6084%2Fm9.figshare.13467199.v1
Dataset
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On Jones et al.’s method for extending Bland-Altman plots to limits of agreement with the mean for multiple observers
Christensen, H. S. (Creator), Borgbjerg, J. (Creator), Børty, L. (Creator) & Bøgsted, M. (Creator), Figshare, 2020
DOI: 10.6084/m9.figshare.c.5246127, https://springernature.figshare.com/collections/On_Jones_et_al_s_method_for_extending_Bland-Altman_plots_to_limits_of_agreement_with_the_mean_for_multiple_observers/5246127
Dataset
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Additional file 4 of On Jones et al.’s method for extending Bland-Altman plots to limits of agreement with the mean for multiple observers
Christensen, H. S. (Creator), Borgbjerg, J. (Creator), Børty, L. (Creator) & Bøgsted, M. (Creator), Figshare, 2020
DOI: 10.6084/m9.figshare.13467201.v1, https://doi.org/10.6084%2Fm9.figshare.13467201.v1
Dataset
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Additional file 1 of On Jones et al.’s method for extending Bland-Altman plots to limits of agreement with the mean for multiple observers
Christensen, H. S. (Creator), Borgbjerg, J. (Creator), Børty, L. (Creator) & Bøgsted, M. (Creator), Figshare, 2020
DOI: 10.6084/m9.figshare.13467195.v1, https://doi.org/10.6084%2Fm9.figshare.13467195.v1
Dataset
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The Accumulated Persistence Function, a New Useful Functional Summary Statistic for Topological Data Analysis, With a View to Brain Artery Trees and Spatial Point Process Applications
Biscio, C. (Creator) & Møller, J. (Creator), Taylor & Francis, 29 Apr 2019
DOI: 10.6084/m9.figshare.7728554.v2, https://tandf.figshare.com/articles/The_accumulated_persistence_function_a_new_useful_functional_summary_statistic_for_topological_data_analysis_with_a_view_to_brain_artery_trees_and_spatial_point_process_applications/7728554/2
Dataset: Supplementary material
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The accumulated persistence function, a new useful functional summary statistic for topological data analysis, with a view to brain artery trees and spatial point process applications
Biscio, C. (Creator) & Møller, J. (Creator), Taylor & Francis, 2019
DOI: 10.6084/m9.figshare.7728554.v1, https://tandf.figshare.com/articles/The_accumulated_persistence_function_a_new_useful_functional_summary_statistic_for_topological_data_analysis_with_a_view_to_brain_artery_trees_and_spatial_point_process_applications/7728554/1
Dataset: Supplementary material
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The Accumulated Persistence Function, a New Useful Functional Summary Statistic for Topological Data Analysis, With a View to Brain Artery Trees and Spatial Point Process Applications
Biscio, C. (Creator) & Møller, J. (Creator), Taylor & Francis, 2019
DOI: 10.6084/m9.figshare.7728554, https://tandf.figshare.com/articles/The_accumulated_persistence_function_a_new_useful_functional_summary_statistic_for_topological_data_analysis_with_a_view_to_brain_artery_trees_and_spatial_point_process_applications/7728554
Dataset: Supplementary material
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Stochastic Quasi-Likelihood for Case-Control Point Pattern Data
Guan, Y. (Contributor), Waagepetersen, R. (Creator) & Xu, G. (Contributor), Taylor & Francis, 19 Jan 2018
DOI: 10.6084/m9.figshare.5807373.v2, https://doi.org/10.6084%2Fm9.figshare.5807373.v2
Dataset: Supplementary material