tag:joss.theoj.org,2005:/papers?page=51Journal of Open Source Software2023-10-24T16:13:59ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/44552023-10-24T16:13:59Z2023-10-25T00:00:56Zbaseflow: a MATLAB and GNU Octave package for baseflow recession analysisacceptedv0.1.02023-04-27 18:48:04 UTC902023-10-24 16:13:59 UTC820235492MatthewG.CooperAtmospheric, Climate, and Earth Sciences, Pacific Northwest National Laboratory, Richland, WA, USA0000-0002-0165-209XTianZhouAtmospheric, Climate, and Earth Sciences, Pacific Northwest National Laboratory, Richland, WA, USA0000-0003-1582-400510.21105/joss.05492https://doi.org/10.5281/zenodo.8401301MATLAB, PHPhttps://joss.theoj.org/papers/10.21105/joss.05492.pdfMatlab, Octave, hydrology, groundwater, baseflow, streamflow, aquifer, Pareto distribution, power law, plfittag:joss.theoj.org,2005:Paper/44542023-08-11T13:24:55Z2023-08-12T00:01:15ZTDLM: An R package for a systematic comparison of trip distribution laws and modelsacceptedv0.1.02023-04-27 14:56:28 UTC882023-08-11 13:24:55 UTC820235434MaximeLenormandTETIS, Univ Montpellier, AgroParisTech, CIRAD, CNRS, INRAE, Montpellier, France0000-0001-6362-347310.21105/joss.05434https://doi.org/10.5281/zenodo.8183755https://joss.theoj.org/papers/10.21105/joss.05434.pdfR, Spatial Interaction Models, Spatial networks, Commuting networks, Gravity model, Radiation modeltag:joss.theoj.org,2005:Paper/44532023-07-21T21:48:08Z2023-07-22T00:01:32ZSyntheticEddyMethod.jl: A Julia package for the creation of inlet flow conditions for LESacceptedv0.4.12023-04-26 15:11:17 UTC872023-07-21 21:48:08 UTC820235565CarloBrunelliMechanical Engineering Department, Royal Military Academy, Belgium0000-0002-2873-629310.21105/joss.05565https://doi.org/10.5281/zenodo.8167205Juliahttps://joss.theoj.org/papers/10.21105/joss.05565.pdfTurbulence, Eddy, Inlet Conditions, LEStag:joss.theoj.org,2005:Paper/44522023-07-07T21:09:58Z2023-07-08T00:01:48ZiTensor: An R package for independent component analysis-based matrix/tensor decompositionacceptedv1.0.02023-04-26 12:46:06 UTC872023-07-07 21:09:58 UTC820235496KokiTsuyuzakiDepartment of Artificial Intelligence Medicine, Graduate School of Medicine, Chiba University, Japan, Laboratory for Bioinformatics Research, RIKEN Center for Biosystems Dynamics Research, Japan0000-0003-3797-214810.21105/joss.05496https://doi.org/10.5281/zenodo.8080600Rhttps://joss.theoj.org/papers/10.21105/joss.05496.pdfindependent component analysis, multimodal independent component analysis, group independent component analysis, multilinear independent component analysis, dimension reductiontag:joss.theoj.org,2005:Paper/44502023-07-26T13:23:53Z2023-07-27T00:01:44ZPxMCMC: A Python package for proximal Markov Chain Monte Carloacceptedv0.1.52023-04-24 05:20:17 UTC872023-07-26 13:23:53 UTC820235582AugustinMarignierResearch School of Earth Sciences, Australian National University, Australia0000-0001-6778-139910.21105/joss.05582https://doi.org/10.5281/zenodo.8185139Pythonhttps://joss.theoj.org/papers/10.21105/joss.05582.pdfMCMC, imaging, geophysics, astrophysicstag:joss.theoj.org,2005:Paper/44492024-03-14T19:57:22Z2024-03-15T00:01:22ZOmniTrax: A deep learning-driven multi-animal tracking and pose-estimation add-on for Blenderacceptedv0.2.22023-04-23 08:59:26 UTC952024-03-14 19:57:22 UTC920245549FabianPlumImperial College London, Department of Bioengineering, United Kingdom0000-0003-1012-664610.21105/joss.05549https://doi.org/10.5281/zenodo.10817891Python, Jupyter Notebookhttps://joss.theoj.org/papers/10.21105/joss.05549.pdfBlender, multi-object tracking, pose-estimation, deep learningtag:joss.theoj.org,2005:Paper/44482023-10-27T15:27:51Z2023-10-28T00:00:39Zbayes-toolbox: A Python package for Bayesian statisticsacceptedv0.1.02023-04-22 21:43:52 UTC902023-10-27 15:27:51 UTC820235526HyosubE.KimSchool of Kinesiology, The University of British Columbia, Canada, Department of Physical Therapy, University of Delaware, United States0000-0003-0109-593X10.21105/joss.05526https://doi.org/10.5281/zenodo.7849408Pythonhttps://joss.theoj.org/papers/10.21105/joss.05526.pdfBayesian statistics, psychology, neurosciencetag: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/44462023-09-06T21:43:32Z2023-09-07T13:47:17Zxinvert: A Python package for inversion problems in geophysical fluid dynamicsacceptedv0.1.02023-04-21 22:00:51 UTC892023-09-06 21:43:32 UTC820235510Yu-KunQianState Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, China0000-0001-5660-761910.21105/joss.05510https://doi.org/10.5281/zenodo.8320324Pythonhttps://joss.theoj.org/papers/10.21105/joss.05510.pdfgeophysics, atmosphere, ocean, geophysical fluid dynamics, steady state problem, second-order partial differential equation, successive over relaxationtag:joss.theoj.org,2005:Paper/44452024-01-23T12:00:48Z2024-01-24T00:01:21ZFoundry-ML - Software and Services to Simplify Access to Machine Learning Datasets in Materials Scienceacceptedv0.5.12023-04-21 18:46:52 UTC932024-01-23 12:00:48 UTC920245467KjSchmidtGlobus, University of Chicago, Chicago, IL, United States of America, Data Science and Learning Division, Argonne National Laboratory, Lemont, IL, United States of America0000-0002-9373-0058AristanaScourtasGlobus, University of Chicago, Chicago, IL, United States of America, Data Science and Learning Division, Argonne National Laboratory, Lemont, IL, United States of America0000-0002-3917-605XLoganWardData Science and Learning Division, Argonne National Laboratory, Lemont, IL, United States of America0000-0002-1323-5939SteveWangenData Science Institute, University of Wisconsin-Madison, Madison, WI, United States of AmericaMarcusSchwartingDepartment of Computer Science, University of Chicago, Chicago, IL, United States of America0000-0001-6817-7265IsaacDarlingDepartment of Computer Science, University of Chicago, Chicago, IL, United States of AmericaEthanTrueloveDepartment of Computer Science, University of Chicago, Chicago, IL, United States of AmericaAaditAmbadkarGlobus, University of Chicago, Chicago, IL, United States of AmericaRibhavBoseGlobus, University of Chicago, Chicago, IL, United States of AmericaZoaKatokGlobus, University of Chicago, Chicago, IL, United States of AmericaJingruiWeiDepartment of Materials Science and Engineering, University of Wisconsin-Madison, Madison, WI, United States of AmericaXiangguoLiDepartment of Materials Science and Engineering, University of Wisconsin-Madison, Madison, WI, United States of AmericaRyanJacobsDepartment of Materials Science and Engineering, University of Wisconsin-Madison, Madison, WI, United States of America0000-0003-2229-6730LaneSchultzDepartment of Materials Science and Engineering, University of Wisconsin-Madison, Madison, WI, United States of AmericaDoyeonKimDepartment of Materials Science and Engineering, University of Wisconsin-Madison, Madison, WI, United States of AmericaMichaelFerrisDepartment of Computer Science, University of Wisconsin-Madison, Madison, WI, United States of America0000-0002-7652-6776PaulM.VoylesDepartment of Materials Science and Engineering, University of Wisconsin-Madison, Madison, WI, United States of America0000-0001-9438-4284DaneMorganDepartment of Materials Science and Engineering, University of Wisconsin-Madison, Madison, WI, United States of America0000-0002-4911-0046IanFosterGlobus, University of Chicago, Chicago, IL, United States of America, Data Science and Learning Division, Argonne National Laboratory, Lemont, IL, United States of America, Department of Computer Science, University of Chicago, Chicago, IL, United States of America0000-0003-2129-5269BenBlaiszikGlobus, University of Chicago, Chicago, IL, United States of America, Data Science and Learning Division, Argonne National Laboratory, Lemont, IL, United States of America0000-0002-5326-490210.21105/joss.05467https://doi.org/10.5281/zenodo.10494644Pythonhttps://joss.theoj.org/papers/10.21105/joss.05467.pdfMachine Learning, Artificial Intelligence, Materials Science, Data