tag:joss.theoj.org,2005:/papers/reviewed_by/@kakearneyJournal of Open Source Software2021-04-06T17:40:16ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/22372021-04-06T17:40:16Z2021-04-07T04:33:52ZNLSIG-COVID19Lab: A modern logistic-growth tool (nlogistic-sigmoid) for descriptively modelling the dynamics of the COVID-19 pandemic processacceptedv1.1.02020-12-16 06:55:27 UTC602021-04-06 17:40:16 UTC620213002OluwasegunA.SomefunFederal University of Technology Akure, Nigeria0000-0002-5171-8026KayodeF.AkingbadeFederal University of Technology Akure, NigeriaFolasadeM.DahunsiFederal University of Technology Akure, Nigeria10.21105/joss.03002https://doi.org/10.5281/zenodo.4662275Matlabhttps://joss.theoj.org/papers/10.21105/joss.03002.pdfCOVID-19, logistic function, machine learning, neural networks, optimization, regression, epidemiologytag:joss.theoj.org,2005:Paper/18242020-10-30T19:49:31Z2021-02-15T11:30:21Zocean_data_tools: A MATLAB toolbox for interacting with bulk freely-available oceanographic dataacceptedv1.0.02020-07-03 17:58:15 UTC542020-10-30 19:49:31 UTC520202497LaurFerrisVirginia Institute of Marine Science0000-0001-6446-934010.21105/joss.02497https://doi.org/10.5281/zenodo.4151538Matlab, Pythonhttps://joss.theoj.org/papers/10.21105/joss.02497.pdfMATLAB, oceanography