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Milestones

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  • NCAI FY26-Q2

    FY26-Q2 [1] Create Jupyter notebook(s) to demonstrate the value of AI-ready improvements to WCS data using the NCAI notebook template, adding to the existing WCS notebook collection. [2] Engage in a demonstration event (e.g. an NCAI Show and Tell). [3] Create final report by extending this slide deck, see NCAI project report examples here. NCAI Milestones: https://docs.google.com/presentation/d/1r5MlSEI5g4syPaFiwPBhqncF6d8jW_8oqq-YCwWBHXI/edit#slide=id.g142bf2e2e8d_0_0

    Due by June 30, 2026
    •0/1 issues closed
    0% complete1 open0 closed

  • NCAI FY25-Q4

    FY25-Q4 [1] Test on-the-fly processing to identify/label/mask noise NCAI Milestones: https://docs.google.com/presentation/d/1r5MlSEI5g4syPaFiwPBhqncF6d8jW_8oqq-YCwWBHXI/edit#slide=id.g142bf2e2e8d_0_0

    Due by December 31, 2025
    0% complete0 open0 closed

  • NCAI FY25-Q3

    FY25-Q3 [1] Improve UI experience [2] add depth and time axes [3] enable zooming NCAI milestones https://docs.google.com/presentation/d/1r5MlSEI5g4syPaFiwPBhqncF6d8jW_8oqq-YCwWBHXI/edit#slide=id.g142bf2e2e8d_0_0

    Due by September 30, 2025
    0% complete0 open0 closed

  • NCAI FY25-Q1

    FY25-Q1 [1] Strengthen the zarr translation pipeline, process priority cruises, and display all processed cruises in EchoFish [2] Finalize the splash page NCAI Milestones: https://docs.google.com/presentation/d/1r5MlSEI5g4syPaFiwPBhqncF6d8jW_8oqq-YCwWBHXI/edit#slide=id.g142bf2e2e8d_0_0

    Overdue by 4 month(s)
    •
    Due by March 31, 2025
    •1/1 issues closed
    100% complete0 open1 closed

  • alpha release

    Alpha release of the project. The goal is to have a prototype capable of running in ospool for L0-to-L1, L1-to-L2, and geospatial data enrichment. This will be capable of generating the updated L2 format with bottom info, revised geospatial chunking, and a more fully tested suite.

    Overdue by 6 month(s)
    •
    Due by February 1, 2025
    •6/10 issues closed
    60% complete4 open6 closed

  • beta release

    Create a beta release of the project with tagged release mirrored in pypi. The goal is to have a workflow capable of running in ospool for L0-to-L1, L1-to-L2, and geospatial data enrichment. This will be capable of generating the updated L2 format with bottom info, revised geospatial chunking, and a more fully tested suite.

    Overdue by 4 month(s)
    •
    Due by April 1, 2025
    •6/13 issues closed
    46% complete7 open6 closed