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Adding figures for other getstarted tabs
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src/data/getstarted.js

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export const GetStarted = [
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{
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name: 'Learner',
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images: [
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{
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src: '/getstarted/learner/software_gif.gif',
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alt: 'Running the VirtualShip software as a learner',
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},
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{
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src: '/getstarted/learner/Agulhas_plot.png',
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alt: 'Output of a VirtualShip simulation in the Agulhas Region',
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},
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],
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text: `VirtualShip supports students with a realistic framework to experience oceanographic fieldwork within a virtual environment.
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The simulated sea-going expeditions allow learners to formulate their own research questions, select cruising routes, and grasp the process of research cruise planning. Just as they would during real-world oceanographic research, students face RLCs (Real-life challenges), instrument deployment, data collection, and scientific interpretation.
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},
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{
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name: 'Educator',
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images: [
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{
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src: '/getstarted/educator/CaliforniaUpwelling_plot.png',
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alt: 'Output of a VirtualShip simulation in the California Upwelling System',
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},
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{
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src: '/getstarted/educator/VRclassroom2.JPG',
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alt: 'A photo of students using the VR material in the VirtualShip classroom',
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},
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],
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text: `VirtualShip provides educators with a modular framework to integrate virtual oceanographic fieldwork into higher education curricula.
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The package combines open educational resources, scientific simulation software, and immersive VR material to support teaching activities ranging from introductory BA Marine Science courses to advanced data-driven research projects across a range of disciplines. From a four-hour workshop on fieldwork preparation to a four-week course.
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},
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{
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name: 'Developer',
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images: [
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{
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src: '/getstarted/developer/rlc_gif.gif',
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alt: 'Screencast of a Real-Life Challenge (RLC) in the VirtualShip software',
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},
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{
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src: '/getstarted/developer/VRfigure1.png',
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alt: 'Screenshot of a VR figure in the VirtualShip software',
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},
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],
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text: `VirtualShip is built as a modular Python framework designed for collaborative development.
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The software uses the open-source Parcels Lagrangian simulations and streams analysis-ready ocean data directly from the Copernicus Marine Data Store. Such a pipeline gives the user scalable and realistic virtual expeditions without the need for large local datasets.

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