tag:joss.theoj.org,2005:/papers/tagged/data-generationJournal of Open Source Software2023-09-20T15:12:26ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/44472023-09-20T15:12:26Z2023-09-21T14:11:50ZG2Aero: A Python package for separable shape tensorsacceptedv0.1.22023-04-22 02:46:34 UTC892023-09-20 15:12:26 UTC820235408OlgaA.DoroninaNational Renewable Energy Laboratory, USA0000-0003-0872-7098ZacharyJ.GreyNational Institute of Standards and Technology, USAAndrewGlawsNational Renewable Energy Laboratory, USA10.21105/joss.05408https://doi.org/10.5281/zenodo.8222925Pythonhttps://joss.theoj.org/papers/10.21105/joss.05408.pdfairfoils, manifolds, generative model, shape representation, Grassmannian, data-driventag:joss.theoj.org,2005:Paper/40252023-05-16T14:36:36Z2023-05-17T01:09:38ZMulti-view-AE: A Python package for multi-view autoencoder modelsacceptedv1.0.02022-11-25 14:36:25 UTC852023-05-16 14:36:36 UTC820235093AnaLawryAguilaCentre for Medical Image Computing (CMIC), Medical Physics and Biomedical Engineering, University College London (UCL), London, UK0000-0003-0727-3274AlejandraJaymeEngineering Mathematics and Computing Lab (EMCL), Heidelberg, GermanyNinaMontaña-BrownCentre for Medical Image Computing (CMIC), Medical Physics and Biomedical Engineering, University College London (UCL), London, UK0000-0001-5685-971XVincentHeuvelineEngineering Mathematics and Computing Lab (EMCL), Heidelberg, GermanyAndreAltmannCentre for Medical Image Computing (CMIC), Medical Physics and Biomedical Engineering, University College London (UCL), London, UK0000-0002-9265-239310.21105/joss.05093https://doi.org/10.5281/zenodo.7871099Pythonhttps://joss.theoj.org/papers/10.21105/joss.05093.pdfAutoencoders, Multi-view, Unsupervised learning, Representation learning, Data generationtag:joss.theoj.org,2005:Paper/39622023-02-21T09:47:34Z2023-02-22T00:00:50ZPyView: A general purpose tool for analyzing calcium imaging dataaccepted1.12022-10-14 16:37:22 UTC822023-02-21 09:47:34 UTC820234936AjayramaKumaraswamyUniversity of Konstanz, Department of Biology, Universitatsstr. 10, D-78457 Konstanz0000-0001-7928-877XGeorgRaiserChampalimaud Centre for the Unknown, Avenida de Brasília, 1400-038 Lisboa, Portugal0000-0002-9716-3513CGiovanniGaliziaUniversity of Konstanz, Department of Biology, Universitatsstr. 10, D-78457 Konstanz0000-0001-8292-603110.21105/joss.04936https://doi.org/10.12751/g-node.ezh5w2Jupyter Notebook, Python, IDLhttps://joss.theoj.org/papers/10.21105/joss.04936.pdfNeuroscience, Calcium imagingtag:joss.theoj.org,2005:Paper/39182022-12-26T14:40:55Z2023-01-03T02:48:24Zrigr: Regression, Inference, and General Data Analysis Tools in Racceptedv1.0.42022-09-22 23:13:55 UTC802022-12-26 14:40:55 UTC720224847YiqunT.ChenDepartment of Biostatistics, University of Washington, Seattle, USA, Data Science Institute & Department of Biomedical Data Science, Stanford University, Stanford, USA0000-0002-4100-1507BrianD.WilliamsonKaiser Permanente Washington Health Research Institute, Seattle, USA0000-0002-7024-548XTaylorOkonekDepartment of Biostatistics, University of Washington, Seattle, USACharlesJ.WolockDepartment of Biostatistics, University of Washington, Seattle, USAAndrewJ.SpiekerVanderbilt University Medical Center, Nashville, USATravisY. HeeWaiVA Puget Sound Health Care System, Seattle, USAJamesP.HughesDepartment of Biostatistics, University of Washington, Seattle, USAScottS.EmersonDepartment of Biostatistics, University of Washington, Seattle, USAAmyD.WillisDepartment of Biostatistics, University of Washington, Seattle, USA0000-0002-2802-431710.21105/joss.04847https://doi.org/10.5281/zenodo.7456326Rhttps://joss.theoj.org/papers/10.21105/joss.04847.pdfinference, regression analysis, data analysis, robust standard errorstag:joss.theoj.org,2005:Paper/36762022-10-09T08:15:05Z2022-10-10T00:01:31ZNanomesh: A Python workflow tool for generating meshes from image dataaccepted0.9.02022-06-24 11:34:16 UTC782022-10-09 08:15:05 UTC720224654StefSmeetsNetherlands eScience Center, The Netherlands0000-0002-5413-9038NicolasRenaudNetherlands eScience Center, The Netherlands0000-0001-9589-2694LarsJ. Corbijnvan WillenswaardUniversity of Twente, The Netherlands0000-0001-6554-152710.21105/joss.04654https://doi.org/10.5281/zenodo.7157382Python, Jupyter Notebook, PowerShellhttps://joss.theoj.org/papers/10.21105/joss.04654.pdffinite-element-methods, microscopy, meshing, image-processingtag:joss.theoj.org,2005:Paper/35942022-09-12T20:19:57Z2022-09-13T09:08:44ZTimeseriesSurrogates.jl: a Julia package for generating surrogate dataacceptedv2.0.02022-05-06 17:18:25 UTC772022-09-12 20:19:57 UTC720224414KristianAgasøsterHaagaDepartment of Earth Science, University of Bergen, Bergen, Norway, K. G. Jebsen Centre for Deep Sea Research, Bergen, Norway, Bjerknes Centre for Climate Research, Bergen, Norway0000-0001-6880-8725GeorgeDatserisMax Planck Institute for Meteorology, Hamburg, Germany0000-0002-6427-238510.21105/joss.04414https://doi.org/10.5281/zenodo.7014633MATLAB, Juliahttps://joss.theoj.org/papers/10.21105/joss.04414.pdfsurrogate data, time series, nonlinear time series analysis, hypothesis testingtag:joss.theoj.org,2005:Paper/24282022-04-26T11:09:34Z2022-04-27T07:09:58ZTUM Open Infra Platform: an open source package for simultaneous viewing and analysis of digital models in the civil engineering domainaccepted[still a moving target]2021-02-23 10:24:28 UTC722022-04-26 11:09:34 UTC720223061ŠtefanJaudChair for Computational Modeling and Simulation, Technical University of Munich0000-0003-0387-3440HelgeHechtChair for Computational Modeling and Simulation, Technical University of Munich0000-0001-6744-996XJonasSchlengerChair for Computational Modeling and Simulation, Technical University of Munich0000-0002-4875-5117JulianAmannChair for Computational Modeling and Simulation, Technical University of Munich10.21105/joss.03061https://doi.org/10.5281/zenodo.6488493C++, C, Smalltalkhttps://joss.theoj.org/papers/10.21105/joss.03061.pdfbuilding information modelling (BIM), industry foundation classes (IFC), point cloud data (PCD), EXPRESS parser, code generationtag:joss.theoj.org,2005:Paper/21252021-09-24T21:16:47Z2021-09-28T13:08:01ZSynthia: multidimensional synthetic data generation in Pythonaccepted1.0.02020-10-22 21:11:38 UTC652021-09-24 21:16:47 UTC620212863DavidMeyerDepartment of Meteorology, University of Reading, Reading, UK, Department of Civil and Environmental Engineering, Imperial College London, London, UK0000-0002-7071-7547ThomasNaglerMathematical Institute, Leiden University, Leiden, The Netherlands0000-0003-1855-004610.21105/joss.02863https://doi.org/10.5281/zenodo.5358432Pythonhttps://joss.theoj.org/papers/10.21105/joss.02863.pdfmachine-learning, data-science, pythontag:joss.theoj.org,2005:Paper/26172021-08-24T12:46:59Z2021-08-25T00:02:07ZLerche: Generating data file processors in Julia from EBNF grammarsaccepted0.4.32021-05-03 06:43:13 UTC642021-08-24 12:46:59 UTC620213497JamesR.HesterAustralian Nuclear Science and Technology Organisation, Sydney, Australia0000-0002-2004-8672ErezShinanIndependent researcher10.21105/joss.03497https://doi.org/10.5281/zenodo.5178771https://joss.theoj.org/papers/10.21105/joss.03497.pdfJulia, data processing, data formats, EBNFtag:joss.theoj.org,2005:Paper/14372020-12-04T18:02:00Z2021-02-15T11:31:09ZAkmedoids R package for generating directionally-homogeneous clusters of longitudinal data setsacceptedv0.1.52020-01-13 14:07:03 UTC562020-12-04 18:02:00 UTC520202379MonsuruAdepejuCrime and Well-being Big Data Centre, Manchester Metropolitan University0000-0002-9006-4934SamuelLangtonCrime and Well-being Big Data Centre, Manchester Metropolitan University0000-0002-1322-1553JonBannisterCrime and Well-being Big Data Centre, Manchester Metropolitan University0000-0002-1350-510X10.21105/joss.02379https://doi.org/10.5281/zenodo.4294266Rhttps://joss.theoj.org/papers/10.21105/joss.02379.pdfAnchored k-medoids, k-means, crime, longitudinal clustering, long-term trends