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Adding more examples to App Gallery from workshop
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title: 'Explorer for Beamline Data'
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slug: 'beamline-data-explorer'
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contributors: ['Seij De Leon']
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appType: 'Prototype'
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repoUrl: ''
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liveUrl: ''
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primaryImage: '../images/gallery/beamline-data-explorer-1.png'
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otherImages: ['../images/gallery/beamline-data-explorer-0.png','../images/gallery/beamline-data-explorer-2.png','../images/gallery/beamline-data-explorer-3.png']
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This prototype lets users explore live beamline data about devices, plans and also detector images in an interactive web interface. The project began with mock data to refine table formatting, then moved to real API calls from locally hosted servers.
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Using STRUDEL’s “compare data” and “explore data” task flows as the foundation, the prototype gained intuitive features like filters and charts, resulting in a more polished and user-friendly interface.
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title: 'Building Energy Conservation Measure Extraction App'
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slug: 'building-energy-measure'
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contributors: ['Han Li and Yujie Xu']
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appType: 'Prototype'
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repoUrl: ''
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liveUrl: ''
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primaryImage: '../images/gallery/building-energy-measure-3.png'
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otherImages: ['../images/gallery/building-energy-measure-1.png','../images/gallery/building-energy-measure-2.png','../images/gallery/building-energy-measure-4.png']
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This prototype enables users to easily extract and analyze a Building Energy Conservation Measure (ECM) report and data. Users can upload a PDF containing ECM information, review and edit the extracted markdown, and see it transformed into structured data right in the interface. A built‑in AI assistant helps analyze ECM details, including costs, savings, and tailored recommendations.
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title: 'KBase Job Browser'
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slug: 'kbase-job-browser'
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contributors: ['David Lyon']
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appType: 'Prototype'
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repoUrl: ''
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liveUrl: ''
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primaryImage: '../images/gallery/kbase-job-browser-1.png'
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otherImages: ['../images/gallery/kbase-job-browser-2.png']
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A web app designed for monitoring KBase Narrative jobs and exploring complex data like ontologies, taxonomies, and other nested structures. It uses live data from the JobBrowserBFF API, with the monitoring features built on the “monitor‑activities” task flow, and introduces a proposed new task flow for navigating hierarchical datasets.
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