tag:jose.theoj.org,2005:/papers/in/Jupyter%20NotebookJournal of Open Source Education2023-08-15T15:31:26ZJournal of Open Source Educationhttps://jose.theoj.orgtag:jose.theoj.org,2005:Paper/1992023-08-15T15:31:26Z2023-08-16T00:00:40ZFrom Maps to Models - Tutorials for structural geological modeling using GemPy and GemGISacceptedv.1.0.02022-07-02 13:42:41 UTC662023-08-15 15:31:26 UTC62023185AlexanderJüstelFraunhofer IEG, Fraunhofer Research Institution for Energy Infrastructures and Geothermal Systems IEG, Kockerellstraße 17, 52062 Aachen, Germany, RWTH Aachen University, Geological Institute, Wüllnerstraße 2, 52062 Aachen, Germany0000-0003-0980-7479Miguelde la VargaTerranigma Solutions GmbH, Laurentiusstraße 59, 52072 Aachen, Germany0000-0001-6941-2685NilsChudallaRWTH Aachen University, Institute for Computational Geoscience, Geothermics and Reservoir Geophysics, Mathieustraße 30, 52074 Aachen, GermanyJanDavidWagnerFraunhofer IEG, Fraunhofer Research Institution for Energy Infrastructures and Geothermal Systems IEG, Kockerellstraße 17, 52062 Aachen, Germany, RWTH Aachen University, Geological Institute, Wüllnerstraße 2, 52062 Aachen, Germany0009-0007-7673-8334StefanBackRWTH Aachen University, Geological Institute, Wüllnerstraße 2, 52062 Aachen, Germany0000-0003-3134-3367FlorianWellmannFraunhofer IEG, Fraunhofer Research Institution for Energy Infrastructures and Geothermal Systems IEG, Kockerellstraße 17, 52062 Aachen, Germany, RWTH Aachen University, Institute for Computational Geoscience, Geothermics and Reservoir Geophysics, Mathieustraße 30, 52074 Aachen, Germany0000-0003-2552-187610.21105/jose.00185QML, Jupyter Notebook, Pythonhttps://jose.theoj.org/papers/10.21105/jose.00185.pdfgeology, geographic, structural geology, GIS, spatial datatag:jose.theoj.org,2005:Paper/2122023-08-10T13:17:31Z2023-08-11T00:00:16ZPlanet_LB: Lattice-Boltzmann solutions for planetary geodynamics problemsacceptedv1.0.02023-03-08 01:07:16 UTC662023-08-10 13:17:31 UTC62023205CraigJ.O'NeillSchool of Earth and Atmospheric Science, Queensland University of Technology0000-0002-6034-188110.21105/jose.00205https://doi.org/10.5281/zenodo.8226562Jupyter Notebook, Pythonhttps://jose.theoj.org/papers/10.21105/jose.00205.pdfgeodynamics, subduction, geologytag:jose.theoj.org,2005:Paper/1982023-08-08T12:26:42Z2023-08-10T07:45:21ZThe Data Behind Dark Matter: Exploring Galactic Rotationacceptedv1.0.42022-06-17 20:22:52 UTC662023-08-08 12:26:42 UTC62023184A.n.VillanoDepartment of Physics, University of Colorado Denver, Denver CO 80217, USA0000-0002-3893-7259KittyC.HarrisIntegrated Sciences, University of Colorado Denver, Denver CO 80217, USA0000-0001-5406-8367JuditBergfalkAstrophysical & Planetary Sciences, University of Colorado Boulder, Boulder, CO 80309, USA0000-0003-1662-0768RaphaelHatamiDepartment of Physics, University of Colorado Denver, Denver CO 80217, USAFrancisVititoeDepartment of Physics, University of Colorado Boulder, Boulder, CO 80309, USAJuliaJohnstonAstrophysical & Planetary Sciences, University of Colorado Boulder, Boulder, CO 80309, USA10.21105/jose.00184https://doi.org/10.5281/zenodo.7951874Jupyter Notebook, Pythonhttps://jose.theoj.org/papers/10.21105/jose.00184.pdfJupyter, Binder, Workshop, Astronomytag: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/1592023-03-04T21:10:02Z2023-06-20T00:00:41Zpendsim: Developing, Simulating, and Visualizing Feedback Controlled Inverted Pendulum Dynamicsacceptedv1.02022-01-11 18:51:45 UTC612023-03-04 21:10:02 UTC62023168MikeSutherlandDepartment of Mechanical and Aerospace Engineering, University of California, Irvine0000-0001-5394-2737DavidA.CoppDepartment of Mechanical and Aerospace Engineering, University of California, Irvine0000-0002-5206-522310.21105/jose.00168https://doi.org/10.5281/zenodo.7603937Python, Jupyter Notebookhttps://jose.theoj.org/papers/10.21105/jose.00168.pdfcontrol theory, dynamics, control, engineering simulationtag:jose.theoj.org,2005:Paper/682023-02-08T15:47:12Z2023-06-20T00:00:49ZLTPy - Learning tool for Python on Atmospheric Compositionacceptedv0.52021-01-29 15:36:26 UTC602023-02-08 15:47:12 UTC62023172JuliaWagemannLaboratory for Climatology and Remote Sensing (LCRS), Philipps University Marburg0000-0002-3075-2559SabrinaH.SzetoSabrina Szeto Consulting0000-0002-3050-837XSimoneMantovaniMeteorological Environmental Earth Observation (MEEO) s.r.l.0000-0003-3979-3645FedericoFierliEuropean Organisation for the Exploitation of Meteorological Satellites (EUMETSAT)0000-0001-9975-288310.21105/jose.00172https://doi.org/10.5281/zenodo.7463072Jupyter Notebook, Pythonhttps://jose.theoj.org/papers/10.21105/jose.00172.pdfpython, jupyter notebooks, copernicus, atmospheric composition, open datatag:jose.theoj.org,2005:Paper/1642022-12-06T16:29:04Z2023-06-20T00:00:38ZWhat and How of Machine Learning Transparency:
Building Bespoke Explainability Tools with
Interoperable Algorithmic Componentsaccepted2020-ecml-pkdd2022-04-09 06:00:55 UTC582022-12-06 16:29:04 UTC52022175KacperSokolIntelligent Systems Laboratory, University of Bristol, United Kingdom, ARC Centre of Excellence for Automated Decision-Making and Society,
RMIT University, Australia0000-0002-9869-5896AlexanderHepburnIntelligent Systems Laboratory, University of Bristol, United Kingdom0000-0002-2674-1478RaulSantos-RodriguezIntelligent Systems Laboratory, University of Bristol, United Kingdom0000-0001-9576-3905PeterFlachIntelligent Systems Laboratory, University of Bristol, United Kingdom0000-0001-6857-581010.21105/jose.00175https://doi.org/10.5281/zenodo.7229153Jupyter Notebook, Pythonhttps://jose.theoj.org/papers/10.21105/jose.00175.pdfTransparency, Explainability, Interpretability, Surrogate Explainers, Tabular Data, Artificial Intelligence, Machine Learning, Hands-on, Tutorialtag: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/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 differentiationtag:jose.theoj.org,2005:Paper/502022-05-23T22:16:12Z2023-06-15T09:03:54ZCourse Materials for Data Science in Practiceaccepted1.02020-07-01 22:32:09 UTC512022-05-23 22:16:12 UTC52022121ThomasDonoghueDepartment of Cognitive Science, UC San Diego0000-0001-5911-0472BradleyVoytekDepartment of Cognitive Science, UC San Diego, Halıcıoğlu Data Science Institute, UC San Diego, Neurosciences Graduate Program, UC San Diego0000-0003-1640-2525ShannonEllisDepartment of Cognitive Science, UC San Diego, Halıcıoğlu Data Science Institute, UC San Diego0000-0002-9231-048110.21105/jose.00121https://doi.org/10.5281/zenodo.6568091Jupyter Notebookhttps://jose.theoj.org/papers/10.21105/jose.00121.pdfdata science, python