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The surveys database contains the vast data as-observed, but not all observations pass validation. As @dlakaplan has pointed out, this can produce confusing errors when files are missing.
To do: remove all fields that did not pass validation, and add a utils function to easily do that for future observations.
The text was updated successfully, but these errors were encountered:
The surveys database contains the vast data as-observed, but not all observations pass validation. As @dlakaplan has pointed out, this can produce confusing errors when files are missing.
To do: remove all fields that did not pass validation, and add a utils function to easily do that for future observations.
The text was updated successfully, but these errors were encountered: