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+ # LINC Dashboard
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+ The [ LINC Dashboard] ( https://dashboard.lincbrain.org ) summarizes the data on [ lincbrain.org] ( https://lincbrain.org ) .
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+ Excluded from the dashboard are datasets ` 000048 ` (OpenBNB) and ` 000004 ` (Mouse LSM) since they were not acquired as part of LINC milestones.
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+ ## Developer documentation
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+ ### Architecture
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+ - The front-end is built with the Streamlit framework and deployed with Streamlit's Community Cloud.
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+ - The metadata is extracted using a GitHub Action and the CSV files are uploaded to a private AWS S3 bucket.
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+ ### Run application locally
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+ Follow the instructions below to run the application locally:
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+ 1 . Fork and clone the [ linc-dashboard] ( https://github.com/lincbrain/linc-dashboard ) repository.
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+ 2 . Install the dependencies using ` pip install -r requirements.txt ` .
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+ 3 . Run the application with ` streamlit run app.py ` .
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+ 4 . Run the script to extract metadata with ` python extract_metadata.py ` . Note, by default the application displays the data from S3.
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nav :
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- Welcome : " index.md"
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- Upload data : " upload.md"
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+ - Dashboard : " dashboard.md"
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- Visualize data in Neuroglancer : " neuroglancer.md"
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- Webknossos :
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- Add Webknossos dataset : " webknossos-add-dataset.md"
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