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update data.R
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R/data.R

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#' @format a data frame with 8,507 rows and 184 variables (each species/lifestage gets a column):
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#' \describe{
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#' \item{hauljoin}{A numeric value for joining catch data between catch and haul tables.}
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#' \item{region}{EFH area (EBS, GOA, or AI)}
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#' \item{region}{EFH area (GOA)}
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#' \item{subregion}{Subregion.}
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#' \item{vessel}{Vessel ID from the survey; matches RACEBASE, FOSS, others}
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#' \item{cruise}{Cruise ID number}
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#' @usage data(region_data_goa)
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"region_data_goa"
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#' EBS region data for abundance for EFH species and lifestages included in the 2023 Review
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#'
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#' The variables are as follows:
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#' @format a data frame with 15,592 rows and 184 variables (each species/lifestage gets a column):
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#' \describe{
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#' \item{hauljoin}{A numeric value for joining catch data between catch and haul tables.}
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#' \item{region}{EFH area (EBS)}
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#' \item{subregion}{Subregion.}
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#' \item{vessel}{Vessel ID from the survey; matches RACEBASE, FOSS, others}
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#' \item{cruise}{Cruise ID number}
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#' \item{haul}{Haul number}
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#' }
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#' @usage data(region_data_ebs)
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"region_data_ebs"
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#' AI region data for abundance for EFH species and lifestages included in the 2023 Review
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#'
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#' The variables are as follows:
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#' @format a data frame with 5,347 rows and 184 variables (each species/lifestage gets a column):
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#' \describe{
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#' \item{hauljoin}{A numeric value for joining catch data between catch and haul tables.}
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#' \item{region}{EFH area (AI)}
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#' \item{subregion}{Subregion.}
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#' \item{vessel}{Vessel ID from the survey; matches RACEBASE, FOSS, others}
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#' \item{cruise}{Cruise ID number}
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#' \item{haul}{Haul number}
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#' }
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#' @usage data(region_data_ai)
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"region_data_ai"
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#' GOA covariate data
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#'
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#' A terra SpatRaster containing environmental covariates for the GOA,
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#' @name raster_stack
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#' @usage data(raster_stack)
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"raster_stack"
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