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Create dedicated notebooks/scripts for generating organized dataset #70

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leewujung opened this issue Apr 10, 2023 · 4 comments
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datasets datasets for testing and benchmarking

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@leewujung
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leewujung commented Apr 10, 2023

This follows from #3:

In 2022, @ldr426 created notebooks under ./docs/source/gsoc/2022 that contain data pulling components as part of showing viz functionalities.

This year let's create dedicated notebooks or scripts for pulling large volumes of data and keep them in s3 bucket for developing viz access/plotting/optimization.

A few things to note:

  • Current notebooks create MVBS from each .raw files separately and use xr.open_mfdataset to combine them for viz. The final version of notebooks/scripts this year should combine multiple EchoData objects before calibration and computing MVBS to generate organized data.
  • The above hinges on 2 critical echopype updates @lsetiawan will be working on in May-June 2023:
    • overhauling combine_echodata (which is for combining the EchoData objects efficiency as zarr stores)
    • optimize efficiency in compute_MVBS
  • For organized MVBS dataset, see Why this sonar trajectory is wiggly and its speed changes so fast? #28 (comment) for current caveat that the lat/lon interpolated to Sv are discarded when computing MVBS.

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@ldr426
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ldr426 commented May 31, 2023

Data got on EBS now:
image

Moored (30 days, 2017-08-01 to 2017-08-31)

Range meter bin (m) Ping time bin (s)
1 1800
1 600
1 300
1 60
0.5 600
0.5 300
0.5 60
0.2 300
0.2 60
0.2  1 (08/01 - 08/20, no concatenated data generated)

Ship (10 days, 2017-07-24 to 2017-08-02)

Range meter bin (m) Ping time bin (s)
5 1800
5 600
1 600
1 300
1 60
0.2 300
0.2 60
0.2 2 (no concatenated data generated)

@ldr426
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ldr426 commented May 31, 2023

Data generating examples (will add annotations and comments later):
Moored_Echosounder_Data_Generate.ipynb
Pacific_Hake_Survey_Data_Generate.ipynb
Google Drive

@ldr426 ldr426 mentioned this issue Jun 12, 2023
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@leewujung
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We can close this now that #42 and #43 are both closed. See #92 for summary and links.

@github-project-automation github-project-automation bot moved this from In Progress to Done in Echoshader Jun 26, 2023
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