tag:jose.theoj.org,2005:/papers/tagged/AWSJournal of Open Source Education2024-02-14T21:52:31ZJournal of Open Source Educationhttps://jose.theoj.orgtag:jose.theoj.org,2005:Paper/2142024-02-14T21:52:31Z2024-02-15T13:27:00ZA Data Carpentry- Style Metagenomics Workshopacceptedv1.0.02023-04-12 01:45:02 UTC722024-02-14 21:52:31 UTC72024209ClaudiaZirión-MartínezLaboratorio de Genómica Ecológica y Evolutiva, Langebio, Cinvestav, México.DiegoGarfias-GallegosLaboratorio de Genómica Ecológica y Evolutiva, Langebio, Cinvestav, México.TaniaVanessaArellano-FernandezLaboratorio de Sistemas Genéticos, Langebio, Cinvestav, México., Escuela Nacional de Estudios Superiores, Unidad León, UNAM, México.AarónEspinosa-JaimeEscuela Nacional de Estudios Superiores, Unidad León, UNAM, México.EdderD.Bustos-DíazLaboratorio de Evolución de la Diversidad Metabólica, Langebio, Cinvestav, México.JoséAbelLovaco-FloresBetterLab - C3. Irapuato, México., Escuela Nacional de Estudios Superiores, Unidad León, UNAM, México.LuisGerardoTejero-GómezCentro de Ciencias Matemáticas. UNAM, México.JAbrahamAvelar-RivasLaboratorio de Sistemas Genéticos, Langebio, Cinvestav, México., BetterLab - C3. Irapuato, México.NellySélem-MojicaCentro de Ciencias Matemáticas. UNAM, México.0000-0003-1697-386210.21105/jose.00209https://doi.org/10.5281/zenodo.8306876Ruby, R, Pythonhttps://jose.theoj.org/papers/10.21105/jose.00209.pdfShotgun Metagenomics, bash, data processing, visualizationtag:jose.theoj.org,2005:Paper/2082023-08-23T12:38:51Z2023-08-24T00:00:21ZEcological Forecasting and Dynamics: A graduate course on the fundamentals of time series and forecasting in ecologyacceptedv2.1.02023-01-04 15:23:57 UTC662023-08-23 12:38:51 UTC62023198S.K. MorganErnestDepartment of Wildlife Ecology and Conservation, University of Florida, Biodiversity Institute, University of Florida0000-0002-6026-8530HaoYeDepartment of Wildlife Ecology and Conservation, University of Florida, Health Science Center Libraries, University of Florida0000-0002-8630-1458EthanP.WhiteDepartment of Wildlife Ecology and Conservation, University of Florida, Biodiversity Institute, University of Florida, Informatics Institute, University of Florida0000-0001-6728-774510.21105/jose.00198https://doi.org/10.5281/zenodo.8250308Rhttps://jose.theoj.org/papers/10.21105/jose.00198.pdfbiology, forecasting, ecological dynamics, time series, programming, models, uncertaintytag:jose.theoj.org,2005:Paper/2112023-08-08T10:44:59Z2023-08-09T00:00:39ZManim Slides: A Python package for presenting Manim content anywhereacceptedv4.9.22023-03-03 15:53:42 UTC662023-08-08 10:44:59 UTC62023206JéromeEertmansICTEAM, UCLouvain, Belgium0000-0002-5579-536010.21105/jose.00206https://doi.org/10.5281/zenodo.8215167Pythonhttps://jose.theoj.org/papers/10.21105/jose.00206.pdfmanim, animations, teaching, conference presentations, tooltag:jose.theoj.org,2005:Paper/2102023-05-20T21:54:15Z2023-06-20T00:00:34ZR for Data Analysis: An open-source resource for teaching and learning analytics with Raccepted1.0.02023-02-16 00:07:05 UTC632023-05-20 21:54:15 UTC62023202TrevorFrenchIndependent Researcher, USA0000-0002-6246-224910.21105/jose.00202https://doi.org/10.5281/zenodo.7896407JavaScripthttps://jose.theoj.org/papers/10.21105/jose.00202.pdfR, data analysis, education, analytics, datatag:jose.theoj.org,2005:Paper/2092023-05-20T21:42:06Z2023-06-20T00:00:36ZCourse Materials for an Introduction to Data-Driven Chemistryacceptedv1.0.0.2023-01-14 11:32:47 UTC632023-05-20 21:42:06 UTC62023192JamesCumbyEaStCHEM School of Chemistry, University of Edinburgh, Joseph Black Building, David Brewster Road, Edinburgh, EH9 3FJ, United Kingdom0000-0002-9499-3319MatteoT.DegiacomiDepartment of Physics, Durham University, South Road, Durham, DH1 3LE, United Kingdom0000-0003-4672-471XValentinaErastovaEaStCHEM School of Chemistry, University of Edinburgh, Joseph Black Building, David Brewster Road, Edinburgh, EH9 3FJ, United Kingdom0000-0002-6747-3297J.JasminGüvenEaStCHEM School of Chemistry, University of Edinburgh, Joseph Black Building, David Brewster Road, Edinburgh, EH9 3FJ, United Kingdom0000-0003-1555-0075ClaireL.HobdayEaStCHEM School of Chemistry, University of Edinburgh, Joseph Black Building, David Brewster Road, Edinburgh, EH9 3FJ, United Kingdom0000-0003-4925-4557AntoniaS. j. s.MeyEaStCHEM School of Chemistry, University of Edinburgh, Joseph Black Building, David Brewster Road, Edinburgh, EH9 3FJ, United Kingdom0000-0001-7512-5252HannahPollakEaStCHEM School of Chemistry, University of Edinburgh, Joseph Black Building, David Brewster Road, Edinburgh, EH9 3FJ, United Kingdom0000-0003-1011-8478RafalSzablaDepartment of Physical and Quantum Chemistry, Faculty of Chemistry, Wrocław University of Science and Technology, Wrocław, Poland0000-0002-1668-804410.21105/jose.00192https://doi.org/10.5281/zenodo.7782433Jupyter Notebook, Pythonhttps://jose.theoj.org/papers/10.21105/jose.00192.pdfchemistry, python, undergraduatetag:jose.theoj.org,2005:Paper/532023-03-23T22:04:17Z2023-06-20T00:00:51ZParFlow Sand Tank: A tool for groundwater explorationacceptedv1.0.62020-07-24 16:55:32 UTC612023-03-23 22:04:17 UTC62023179LauraE.CondonUniversity of Arizona, Department of Hydrology and Atmospheric Sciences0000-0003-3639-8076AbramFarleyUniversity of Arizona, Department of Hydrology and Atmospheric Sciences0000-0001-7871-6269SebastienJourdainKitware, Inc.0000-0001-8083-271XPatrickO'learyKitware, Inc.0000-0003-2829-4277PatrickAveryKitware, Inc.0000-0003-2254-1345LisaGallagherPrinceton Environmental Institute, Integrated Groundwater Modeling Center0000-0002-5556-7739CallaChennaultPrinceton University, Department of Civil and Environmental Engineering0000-0002-6258-0042ReedM.MaxwellPrinceton University, Department of Civil and Environmental Engineering, Princeton Environmental Institute, Integrated Groundwater Modeling Center0000-0002-1364-444110.21105/jose.00179https://doi.org/10.5281/zenodo.7384472JavaScript, Vuehttps://jose.theoj.org/papers/10.21105/jose.00179.pdfgroundwater, hydrology, modeling, educationtag:jose.theoj.org,2005:Paper/1572022-12-14T15:47:40Z2023-06-20T00:00:45ZAn Active Learning Laboratory Manual for Teaching a Contemporary Undergraduate Operating System Courseacceptedv1.0.02021-11-12 18:59:42 UTC582022-12-14 15:47:40 UTC52022162SaverioPeruginiDepartment of Computer Science, University of Dayton, 300 College Park, Dayton, Ohio 45469--0280 USA0000-0002-1736-4009ZhongmeiYaoDepartment of Computer Science, University of Dayton, 300 College Park, Dayton, Ohio 45469--0280 USA0000-0002-8055-7110PhuH.PhungDepartment of Computer Science, University of Dayton, 300 College Park, Dayton, Ohio 45469--0280 USA0000-0002-4674-1184AndrewRettigDepartment of Geology and Environmental Geosciences, University of Dayton, 300 College Park, Dayton, Ohio 45469--2364 USAAdamR.BryantDepartment of Computer Science and Engineering, Wright State University, 3640 Colonel Glenn Hwy, Dayton, Ohio 45435 USARustyO.BaldwinDepartment of Computer Science, University of Dayton, 300 College Park, Dayton, Ohio 45469--0280 USADavidJ.WrightLearning Teaching Center, University of Dayton, 300 College Park, Dayton, Ohio 45469--1302 USAJohnC.GallagherDepartment of Computer Science and Engineering, Wright State University, 3640 Colonel Glenn Hwy, Dayton, Ohio 45435 USA10.21105/jose.00162https://doi.org/10.5281/zenodo.7200056Chttps://jose.theoj.org/papers/10.21105/jose.00162.pdfoperating systems, pedagogy, active learning, lab exercises, learning modules, Linux, Internet of Things, concurrency, synchronization, Communicating Sequential Processes (CSP), Go, Actor model, Elixir, cloud computing, big datatag:jose.theoj.org,2005:Paper/1582022-10-24T21:20:52Z2023-06-20T00:00:42ZReproducible Data Science with Python: An Open Learning Resourceacceptedv1.0.02021-11-19 10:27:11 UTC562022-10-24 21:20:52 UTC52022156ValentinDanchevDepartment of Sociology, University of Essex, United Kingdom, School of Business and Management, Queen Mary University of London, United Kingdom0000-0002-7563-016810.21105/jose.00156https://doi.org/10.5281/zenodo.6895578Jupyter Notebook, JavaScript, Pythonhttps://jose.theoj.org/papers/10.21105/jose.00156.pdfdata science, Jupyter notebook, reproducible workflow, open science, real-world social data, exploratory data analysis, machine learning, social networks, data science ethicstag:jose.theoj.org,2005:Paper/1192022-08-26T11:38:25Z2023-06-20T00:00:47ZA virtual training module for introducing the use of Amazon Web Servicesacceptedv1.0.02021-09-09 21:21:30 UTC542022-08-26 11:38:25 UTC52022167AbhijnaParigiLab for Data Intensive Biology, School of Veterinary Medicine, University of California Davis0000-0003-2097-8818MarisaC.w.LimLab for Data Intensive Biology, School of Veterinary Medicine, University of California Davis0000-0002-5861-3737SaranyaCanchiLab for Data Intensive Biology, School of Veterinary Medicine, University of California Davis0000-0002-9404-7162JoseSanchezLab for Data Intensive Biology, School of Veterinary Medicine, University of California DavisJeremyWalterLab for Data Intensive Biology, School of Veterinary Medicine, University of California Davis0000-0001-7074-9760RaynaM.HarrisLab for Data Intensive Biology, School of Veterinary Medicine, University of California Davis0000-0002-7943-5650AmandaCharbonneauLab for Data Intensive Biology, School of Veterinary Medicine, University of California Davis0000-0001-7376-7702C.TitusBrownLab for Data Intensive Biology, School of Veterinary Medicine, University of California Davis0000-0001-6001-267710.21105/jose.00167https://doi.org/10.5281/zenodo.6816045https://jose.theoj.org/papers/10.21105/jose.00167.pdfAWS, cloud computing, reproducible researchtag:jose.theoj.org,2005:Paper/642022-07-05T21:13:26Z2023-11-27T18:57:09ZAuto-eD: A visual learning tool for automatic differentiationacceptedv1.0.02020-12-18 21:55:15 UTC532022-07-05 21:13:26 UTC52022161LindseyS.BrownHarvard John A. Paulson School of Engineering and Applied Sciences0000-0002-9387-1387RachelMoonData Innovation Labs0000-0002-5906-7192DavidSondakHarvard John A. Paulson School of Engineering and Applied Sciences0000-0002-2730-909710.21105/jose.00161https://doi.org/10.5281/zenodo.6800009Python, Jupyter Notebook, JavaScripthttps://jose.theoj.org/papers/10.21105/jose.00161.pdfautomatic differentiation