tag:joss.theoj.org,2005:/papers/tagged/coastalJournal of Open Source Software2023-05-31T15:00:40ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/42832023-05-31T15:00:40Z2023-06-01T00:01:32Zshoredate: An R package for shoreline dating coastal Stone Age sitesacceptedv1.0.12023-03-06 22:48:39 UTC852023-05-31 15:00:40 UTC820235337IsakRoalkvamUniversity of Oslo, Institute of Archaeology, Conservation and History0000-0001-6974-137410.21105/joss.05337https://doi.org/10.5281/zenodo.7971859Rhttps://joss.theoj.org/papers/10.21105/joss.05337.pdfarchaeology, shoreline dating, relative sea-level change, south-eastern Norwaytag:joss.theoj.org,2005:Paper/36632022-08-20T13:24:14Z2022-08-21T07:31:43ZMimiBRICK.jl: A Julia package for the BRICK model for sea-level change in the Mimi integrated modeling frameworkacceptedv1.02022-06-17 17:36:02 UTC762022-08-20 13:24:14 UTC720224556TonyE.WongSchool of Mathematical Sciences, Rochester Institute of Technology, USA0000-0002-7304-3883LisaRennelsEnergy and Resources Group, University of California, Berkeley, USA0000-0002-5307-9336FrankErricksonSchool of Public and International Affairs, Princeton University, USA0000-0003-2195-9424VivekSrikrishnanDepartment of Biological and Environmental Engineering, Cornell University, USA0000-0003-0049-3805AlexanderBakkerRijkswaterstaat, Ministry of Infrastructure and Water Management, The Netherlands, Department of Hydraulic Engineering, Faculty of Civil Engineering and Geosciences, Delft University of Technology, The Netherlands0000-0002-1017-7665KlausKellerThayer School of Engineering, Dartmouth College, USA0000-0002-5451-8687DavidAnthoffEnergy and Resources Group, University of California, Berkeley, USA0000-0001-9319-210910.21105/joss.04556https://doi.org/10.5281/zenodo.7011156Juliahttps://joss.theoj.org/papers/10.21105/joss.04556.pdfsea level, climate, coastal, model couplingtag:joss.theoj.org,2005:Paper/14632020-03-01T23:57:46Z2021-02-15T11:31:03Zpsi-collect: A Python module for post-storm image collection and catalogingacceptedv0.62020-02-03 13:17:10 UTC472020-03-01 23:57:46 UTC520202075MatthewC.MoretzDepartment of Computer Science, The University of North Carolina at GreensboroDanielFosterDepartment of Computer Science, The University of North Carolina at GreensboroJohnWeberDepartment of Computer Science, The University of North Carolina at GreensboroRintyChowdhuryDepartment of Computer Science, The University of North Carolina at GreensboroShahNafisRafiqueDepartment of Computer Science, The University of North Carolina at GreensboroEvanB.GoldsteinDepartment of Geography, Environment, and Sustainability, The University of North Carolina at Greensboro0000-0001-9358-1016SomyaD.MohantyDepartment of Computer Science, The University of North Carolina at Greensboro0000-0002-4253-520110.21105/joss.02075https://doi.org/10.5281/zenodo.3687347Python, GLSLhttps://joss.theoj.org/papers/10.21105/joss.02075.pdfcoastal, storm, morphology, hurricane, severe weather, NOAAtag:joss.theoj.org,2005:Paper/13292019-12-20T11:23:16Z2021-02-15T11:31:22Zpybeach: A Python package for extracting the location of dune toes on beach profile transectsacceptedv0.1.12019-11-12 01:08:10 UTC442019-12-20 11:23:16 UTC420191890TomasBeuzenDepartment of Statistics, University of British Columbia, Vancouver, Canada0000-0003-2762-915110.21105/joss.01890https://doi.org/10.5281/zenodo.3579501Jupyter Notebook, Pythonhttps://joss.theoj.org/papers/10.21105/joss.01890.pdfcoastal, morphology, dunes, machine learning