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It would be convenient for many use cases to have access to some of the information that is in the raw trawl data processed in OceanAdapt, but not present in any of the cleaned and aggregated datasets. In my experience, the information I've wanted to access was haul-level information that gets dropped in compile.R:
Bottom temperature, surface temperature, and other environmental variables collected in the surveys
The exact date of the collection
I've written a script to do that based on compile.R--it could definitely be cleaned and tightened up in places, but it does collate all the haul-level data into one dataframe (there should be one row per unique haulid across all regions): https://gist.github.com/afredston/5f85968eeead75bf524ec1c43484aac7 I focused on btemp, stemp, and datetime as the variables to preserve and harmonize across datasets, but some of the source datasets also have other environmental variables like salinity and dissolved oxygen that could be useful to preserve in the output eventually.
The text was updated successfully, but these errors were encountered:
It would be convenient for many use cases to have access to some of the information that is in the raw trawl data processed in OceanAdapt, but not present in any of the cleaned and aggregated datasets. In my experience, the information I've wanted to access was haul-level information that gets dropped in
compile.R
:I've written a script to do that based on
compile.R
--it could definitely be cleaned and tightened up in places, but it does collate all the haul-level data into one dataframe (there should be one row per unique haulid across all regions): https://gist.github.com/afredston/5f85968eeead75bf524ec1c43484aac7 I focused onbtemp
,stemp
, anddatetime
as the variables to preserve and harmonize across datasets, but some of the source datasets also have other environmental variables like salinity and dissolved oxygen that could be useful to preserve in the output eventually.The text was updated successfully, but these errors were encountered: