diff --git a/DESCRIPTION b/DESCRIPTION index b54a30d..fbfd120 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,7 +1,7 @@ Package: GAPsurvey Type: Package Title: Provides at-sea data management tools for RACE GAP surveys -Version: 2024.04.04 +Version: 2024.04.05 License: GPL-3 Authors@R: c(person(given = "Emily", diff --git a/GAPsurvey_2024.04.05.tar.gz b/GAPsurvey_2024.04.05.tar.gz new file mode 100644 index 0000000..9c2a71f Binary files /dev/null and b/GAPsurvey_2024.04.05.tar.gz differ diff --git a/R/functions.R b/R/functions.R index 2b99640..1a798e2 100644 --- a/R/functions.R +++ b/R/functions.R @@ -1021,9 +1021,9 @@ get_catch_haul_history <- function( # Helper Functions ------------------------------------------------------------------------ -#' Takes a string of words and combines them into a sentance that lists them. +#' Takes a string of words and combines them into a sentence that lists them. #' -#' This function alows you to take a string of words and combine them into a sentance list. For example, 'apples', 'oranges', 'pears' would become 'apples, oranges, and pears'. This function uses oxford commas. +#' This function allows you to take a string of words and combine them into a sentence list. For example, 'apples', 'oranges', 'pears' would become 'apples, oranges, and pears'. This function uses oxford commas. #' @param x Character strings you want in your string. #' @param oxford T/F: would you like to use an oxford comma? Default = TRUE #' @param sep string. default = "," but ";" might be what you need! @@ -1048,7 +1048,7 @@ text_list<-function(x, oxford = TRUE, sep = ",") { return(str1) } -#' Make numbers the same length preceeded by 0s +#' Make numbers the same length preceded by 0s #' #' @param x a single or vector of values that need to be converted from something like 1 to "001" #' @param number_places default = NA. If equal to NA, the function will take use the longest length of a value provided in x (example 1). If equal to a number, it will make sure that every number is the same length of number_places (example 2) or larger (if a value of x has more places than number_places(example 3)). diff --git a/R/hex_to_cnv.R b/R/hex_to_cnv.R index adc4718..7a044e9 100644 --- a/R/hex_to_cnv.R +++ b/R/hex_to_cnv.R @@ -175,7 +175,10 @@ convert_ctd_btd <- function(filepath_hex, quote = FALSE, row.names = FALSE) - message(paste0("Baththermic data (.BTD) and header (.BTD) files written to: ", dirpath_output)) + message(paste0("Baththermic data (.BTD) and header (.BTD) files written to: \n", + filename, + ".BTD\n", + filename, ".BTH")) } diff --git a/R/public_data.R b/R/public_data.R index 8bcfbe6..c7a4d27 100644 --- a/R/public_data.R +++ b/R/public_data.R @@ -1,5 +1,5 @@ #' @title Presence-only public data from FOSS -#' @description These datasets, FOSS_CATCH, FOSS_CPUE_PRESONLY, FOSS_HAUL, and FOSS_SPECIES, when full joined by the HAULJOIN variable, includes zero-filled (presence and absence) observations and catch-per-unit-effort (CPUE) estimates for all identified species at for index stations. These tables were created by the Resource Assessment and Conservation Engineering Division (RACE) Groundfish Assessment Program (GAP) of the Alaska Fisheries Science Center (AFSC). There are legal restrictions on access to the data. These data are not intended for public dissemination and should not be shared without the explicit written consent of the data managers and owners (NOAA Fisheries). The GitHub repository for the scripts that created this code can be found at https://github.com/afsc-gap-products/gap_products. For more information about codes used in the tables, please refer to the survey code books (https://www.fisheries.noaa.gov/resource/document/groundfish-survey-species-code-manual-and-data-codes-manual). These data were last updated March 04, 2024. +#' @description #' @usage data('public_data') #' @author Emily Markowitz (Emily.Markowitz AT noaa.gov) #' @format A data frame with 939197 observations on the following 37 variables. @@ -12,18 +12,6 @@ #' \item{\code{cpue_nokm2}}{Number CPUE (no/km2). Numerical catch per unit effort (area swept by the net, units square kilometers).} #' \item{\code{cruise}}{Cruise Name. This is a six-digit integer identifying the cruise number of the form: YYYY99 (where YYYY = year of the cruise; 99 = 2-digit number and is sequential; 01 denotes the first cruise that vessel made in this year, 02 is the second, etc.).} #' \item{\code{cruisejoin}}{Cruise ID. Unique integer ID assigned to each survey, vessel, and year combination.} -#' \item{\code{date_time}}{Date and time. The date (MM/DD/YYYY) and time (HH:MM) of the haul. All dates and times are in Alaska time (AKDT) of Anchorage, AK, USA (UTC/GMT -8 hours).} -#' \item{\code{depth_m}}{Depth (m). Bottom depth (meters).} -#' \item{\code{distance_fished_km}}{Distance fished (km). Distance the net fished (thousands of kilometers).} -#' \item{\code{duration_hr}}{Tow duration (decimal hr). This is the elapsed time between start and end of a haul (decimal hours).} -#' \item{\code{haul}}{Haul number. This number uniquely identifies a sampling event (haul) within a cruise. It is a sequential number, in chronological order of occurrence.} -#' \item{\code{hauljoin}}{Haul ID. This is a unique numeric identifier assigned to each (vessel, cruise, and haul) combination.} -#' \item{\code{id_rank}}{Lowest taxonomic rank. Lowest taxonomic rank of a given species entry.} -#' \item{\code{itis}}{Integrated taxonomic information system (ITIS) serial number. Species code as identified in the Integrated Taxonomic Information System (https://itis.gov/).} -#' \item{\code{latitude_dd_end}}{End latitude (decimal degrees). Latitude (one hundred thousandth of a decimal degree) of the end of the haul.} -#' \item{\code{latitude_dd_start}}{Start latitude (decimal degrees). Latitude (one hundred thousandth of a decimal degree) of the start of the haul.} -#' \item{\code{longitude_dd_end}}{End longitude (decimal degrees). Longitude (one hundred thousandth of a decimal degree) of the end of the haul.} -#' \item{\code{longitude_dd_start}}{Start longitude (decimal degrees). Longitude (one hundred thousandth of a decimal degree) of the start of the haul.} #' \item{\code{net_height_m}}{Net height (m). Measured or estimated distance (meters) between footrope and headrope of the trawl.} #' \item{\code{net_width_m}}{Net width (m). Measured or estimated distance (meters) between wingtips of the trawl.} #' \item{\code{performance}}{Haul performance code. This denotes what, if any, issues arose during the haul. For more information, review the [code books](https://www.fisheries.noaa.gov/resource/document/groundfish-survey-species-code-manual-and-data-codes-manual).} @@ -34,13 +22,25 @@ #' \item{\code{stratum}}{Stratum ID. RACE database statistical area for analyzing data. Strata were designed using bathymetry and other geographic and habitat-related elements. The strata are unique to each survey region. Stratum of value 0 indicates experimental tows.} #' \item{\code{surface_temperature_c}}{Surface temperature (degrees Celsius). Surface temperature (tenths of a degree Celsius); NA indicates removed or missing values.} #' \item{\code{survey}}{Survey name. Name and description of survey. The column 'survey' is associated with the 'srvy' and 'survey_definition_id' columns.} -#' \item{\code{survey_definition_id}}{Survey ID. The survey definition ID key code uniquely identifies a survey/survey design. The column 'survey_definition_id' is associated with the 'srvy' and 'survey' columns. For a complete list of surveys, review the [code books](https://www.fisheries.noaa.gov/resource/document/groundfish-survey-species-code-manual-and-data-codes-manual).} +#' \item{\code{survey_definition_id}}{Survey ID. The survey definition ID key code uniquely identifies a survey/survey design. Integer code that uniquely identifies survey. Full list of survey definition IDs are in RACE_DATA.SURVEY_DEFINITIONS. IDs used in GAP_PRODUCTS are: 47 (Gulf of Alaska); 52 (Aleutian Islands); 78 (Bering Sea Slope); 98 (Eastern Bering Sea Shelf); 143 (Northern Bering Sea Shelf). The column 'survey_definition_id' is associated with the 'srvy' and 'survey' columns. For a complete list of surveys, review the [code books](https://www.fisheries.noaa.gov/resource/document/groundfish-survey-species-code-manual-and-data-codes-manual).} #' \item{\code{taxon_confidence}}{Taxon confidence rating. Confidence in the ability of the survey team to correctly identify the taxon to the specified level, based solely on identification skill (e.g., not likelihood of a taxon being caught at that station on a location-by-location basis). Quality codes follow: **'High'**: High confidence and consistency. Taxonomy is stable and reliable at this level, and field identification characteristics are well known and reliable. **'Moderate'**: Moderate confidence. Taxonomy may be questionable at this level, or field identification characteristics may be variable and difficult to assess consistently. **'Low'**: Low confidence. Taxonomy is incompletely known, or reliable field identification characteristics are unknown. Documentation: [Species identification confidence in the eastern Bering Sea shelf survey (1982-2008)](http://apps-afsc.fisheries.noaa.gov/Publications/ProcRpt/PR2009-04.pdf), [Species identification confidence in the eastern Bering Sea slope survey (1976-2010)](http://apps-afsc.fisheries.noaa.gov/Publications/ProcRpt/PR2014-05.pdf), and [Species identification confidence in the Gulf of Alaska and Aleutian Islands surveys (1980-2011)](http://apps-afsc.fisheries.noaa.gov/Publications/ProcRpt/PR2014-01.pdf).} #' \item{\code{vessel_id}}{Vessel ID. ID number of the vessel used to collect data for that haul. The column 'vessel_id' is associated with the 'vessel_name' column. Note that it is possible for a vessel to have a new name but the same vessel id number. For a complete list of vessel ID key codes, review the [code books](https://www.fisheries.noaa.gov/resource/document/groundfish-survey-species-code-manual-and-data-codes-manual).} #' \item{\code{vessel_name}}{Vessel name. Name of the vessel used to collect data for that haul. The column 'vessel_name' is associated with the 'vessel_id' column. Note that it is possible for a vessel to have a new name but the same vessel id number. For a complete list of vessel ID key codes, review the [code books](https://www.fisheries.noaa.gov/resource/document/groundfish-survey-species-code-manual-and-data-codes-manual).} #' \item{\code{weight_kg}}{Sample or taxon weight (kg). Weight (thousandths of a kilogram) of individuals in a haul by taxon.} #' \item{\code{worms}}{World register of marine species (WoRMS) taxonomic serial number. Species code as identified in the World Register of Marine Species (WoRMS) (https://www.marinespecies.org/).} -#' \item{\code{year}}{Survey year. Year the observation (survey) was collected.}#' } +#' \item{\code{year}}{Survey year. Year the observation (survey) was collected.} +#' \item{\code{date_time}}{Date and time. The date (MM/DD/YYYY) and time (HH:MM) of the haul. All dates and times are in Alaska time (AKDT) of Anchorage, AK, USA (UTC/GMT -8 hours).} +#' \item{\code{depth_m}}{Depth (m). Bottom depth (meters).} +#' \item{\code{distance_fished_km}}{Distance fished (km). Distance the net fished (thousands of kilometers).} +#' \item{\code{duration_hr}}{Tow duration (decimal hr). This is the elapsed time between start and end of a haul (decimal hours).} +#' \item{\code{haul}}{Haul number. This number uniquely identifies a sampling event (haul) within a cruise. It is a sequential number, in chronological order of occurrence.} +#' \item{\code{hauljoin}}{Haul ID. This is a unique numeric identifier assigned to each (vessel, cruise, and haul) combination.} +#' \item{\code{id_rank}}{Lowest taxonomic rank. Lowest taxonomic rank of a given species entry.} +#' \item{\code{itis}}{Integrated taxonomic information system (ITIS) serial number. Species code as identified in the Integrated Taxonomic Information System (https://itis.gov/).} +#' \item{\code{latitude_dd_end}}{End latitude (decimal degrees). Latitude (one hundred thousandth of a decimal degree) of the end of the haul.} +#' \item{\code{latitude_dd_start}}{Start latitude (decimal degrees). Latitude (one hundred thousandth of a decimal degree) of the start of the haul.} +#' \item{\code{longitude_dd_end}}{End longitude (decimal degrees). Longitude (one hundred thousandth of a decimal degree) of the end of the haul.} +#' \item{\code{longitude_dd_start}}{Start longitude (decimal degrees). Longitude (one hundred thousandth of a decimal degree) of the start of the haul.}#' } #' @source https://github.com/afsc-gap-products/gap_products and https://www.fisheries.noaa.gov/foss/f?p=215:28:14951401791129::::: #' @keywords species code data #' @examples diff --git a/R/station_coords.R b/R/station_coords.R index 17bf937..4c15a1b 100644 --- a/R/station_coords.R +++ b/R/station_coords.R @@ -4,10 +4,10 @@ #' @author Sean Rohan (sean.rohan AT noaa.gov) #' @format A data frame with 31594 observations on the following 4 variables. #' \describe{ -#' \item{\code{latitude_dd}}{Latitude (decimal degrees). Latitude (one hundred thousandth of a decimal degree).} -#' \item{\code{longitude_dd}}{Longitude (decimal degrees). Longitude (one hundred thousandth of a decimal degree).} #' \item{\code{srvy}}{Survey abbreviation. Abbreviated survey names. The column 'srvy' is associated with the 'survey' and 'survey_definition_id' columns. Northern Bering Sea (NBS), Southeastern Bering Sea (EBS), Bering Sea Slope (BSS), Gulf of Alaska (GOA), Aleutian Islands (AI).} -#' \item{\code{station}}{Station ID. Alpha-numeric designation for the station established in the design of a survey.}#' } +#' \item{\code{station}}{Station ID. Alpha-numeric designation for the station established in the design of a survey.} +#' \item{\code{latitude_dd}}{Latitude (decimal degrees). Latitude (one hundred thousandth of a decimal degree).} +#' \item{\code{longitude_dd}}{Longitude (decimal degrees). Longitude (one hundred thousandth of a decimal degree).}#' } #' @source https://github.com/afsc-gap-products/akgfmaps #' @keywords station survey data #' @examples diff --git a/README.md b/README.md index bfa2391..b3d7473 100644 --- a/README.md +++ b/README.md @@ -58,7 +58,7 @@ for citing the package created and maintained in this repo. Add “note = This package was last produced using: - #> R version 4.3.1 (2023-06-16 ucrt) + #> R version 4.3.2 (2023-10-31 ucrt) #> Platform: x86_64-w64-mingw32/x64 (64-bit) #> Running under: Windows 10 x64 (build 19045) #> @@ -75,18 +75,19 @@ This package was last produced using: #> [1] stats4 stats graphics grDevices utils datasets methods base #> #> other attached packages: - #> [1] badger_0.2.3 gapindex_2.1.3 pkgdown_2.0.7 readr_2.1.5 magrittr_2.0.3 akgfmaps_3.5.0 terra_1.7-71 stars_0.6-4 abind_1.4-5 gstat_2.1-1 classInt_0.4-10 gapctd_2.1.2 lubridate_1.9.3 plotly_4.10.4 sf_1.0-16 interp_1.1-6 bbmle_1.0.25.1 oce_1.8-2 - #> [19] gsw_1.1-1 ggplot2_3.5.0 tidyr_1.3.1 dplyr_1.1.4 plyr_1.8.9 RODBC_1.3-23 roxygen2_7.3.1 devtools_2.4.5 usethis_2.2.3 here_1.0.1 + #> [1] badger_0.2.3 pkgdown_2.0.7 gapctd_2.1.2 lubridate_1.9.3 plotly_4.10.4 interp_1.1-6 bbmle_1.0.25.1 oce_1.8-2 gsw_1.1-1 tidyr_1.3.1 plyr_1.8.9 RODBC_1.3-23 roxygen2_7.3.1 devtools_2.4.5 usethis_2.2.3 + #> [16] here_1.0.1 akgfmaps_3.5.0 terra_1.7-71 stars_0.6-4 abind_1.4-5 sf_1.0-16 gstat_2.1-1 ggplot2_3.5.0 classInt_0.4-10 gapindex_2.2.0 dplyr_1.1.4 readr_2.1.5 magrittr_2.0.3 #> #> loaded via a namespace (and not attached): - #> [1] RColorBrewer_1.1-3 sys_3.4.2 rstudioapi_0.16.0 dlstats_0.1.7 jsonlite_1.8.8 rmarkdown_2.26 fs_1.6.3 vctrs_0.6.5 memoise_2.0.1 askpass_1.2.0 gh_1.4.1 htmltools_0.5.8 curl_5.2.1 KernSmooth_2.23-22 - #> [15] htmlwidgets_1.6.4 desc_1.4.3 httr2_1.0.1 zoo_1.8-12 cachem_1.0.8 mime_0.12 lifecycle_1.0.4 pkgconfig_2.0.3 Matrix_1.6-5 R6_2.5.1 fastmap_1.1.1 shiny_1.8.1.1 digest_0.6.35 numDeriv_2016.8-1.1 - #> [29] colorspace_2.1-0 rprojroot_2.0.4 pkgload_1.3.4 fansi_1.0.6 timechange_0.3.0 httr_1.4.7 compiler_4.3.1 proxy_0.4-27 intervals_0.15.4 remotes_2.5.0 withr_3.0.0 DBI_1.2.2 pkgbuild_1.4.4 MASS_7.3-60.0.1 - #> [43] openssl_2.1.1 rappdirs_0.3.3 sessioninfo_1.2.2 tools_4.3.1 units_0.8-5 httpuv_1.6.15 glue_1.7.0 promises_1.2.1 grid_4.3.1 generics_0.1.3 gtable_0.3.4 tzdb_0.4.0 class_7.3-22 data.table_1.15.4 - #> [57] hms_1.1.3 sp_2.1-3 xml2_1.3.6 utf8_1.2.4 pillar_1.9.0 stringr_1.5.1 yulab.utils_0.1.4 later_1.3.2 lattice_0.22-6 FNN_1.1.4 deldir_2.0-4 tidyselect_1.2.1 rvcheck_0.2.1 miniUI_0.1.1.1 - #> [71] knitr_1.45 gitcreds_0.1.2 xfun_0.43 credentials_2.0.1 stringi_1.8.3 lazyeval_0.2.2 yaml_2.3.8 evaluate_0.23 codetools_0.2-19 tibble_3.2.1 BiocManager_1.30.22 cli_3.6.2 xtable_1.8-4 munsell_0.5.1 - #> [85] spacetime_1.3-1 Rcpp_1.0.12 gert_2.0.1 bdsmatrix_1.3-7 parallel_4.3.1 ellipsis_0.3.2 profvis_0.3.8 urlchecker_1.0.1 viridisLite_0.4.2 mvtnorm_1.2-4 scales_1.3.0 xts_0.13.2 e1071_1.7-14 purrr_1.0.2 - #> [99] crayon_1.5.2 rlang_1.1.3 + #> [1] RColorBrewer_1.1-3 sys_3.4.2 rstudioapi_0.16.0 dlstats_0.1.7 jsonlite_1.8.8 rmarkdown_2.26 fs_1.6.3 vctrs_0.6.5 memoise_2.0.1 askpass_1.2.0 gh_1.4.0 janitor_2.2.0 + #> [13] htmltools_0.5.7 curl_5.2.1 KernSmooth_2.23-22 htmlwidgets_1.6.4 keyring_1.3.2 desc_1.4.3 httr2_1.0.0 zoo_1.8-12 cachem_1.0.8 mime_0.12 lifecycle_1.0.4 pkgconfig_2.0.3 + #> [25] Matrix_1.6-5 R6_2.5.1 fastmap_1.1.1 shiny_1.8.0 snakecase_0.11.1 digest_0.6.35 numDeriv_2016.8-1.1 colorspace_2.1-0 rprojroot_2.0.4 pkgload_1.3.4 fansi_1.0.6 timechange_0.3.0 + #> [37] httr_1.4.7 compiler_4.3.2 proxy_0.4-27 intervals_0.15.4 remotes_2.5.0 withr_3.0.0 DBI_1.2.2 pkgbuild_1.4.4 MASS_7.3-60 openssl_2.1.1 rappdirs_0.3.3 sessioninfo_1.2.2 + #> [49] tools_4.3.2 units_0.8-5 httpuv_1.6.14 glue_1.7.0 promises_1.2.1 grid_4.3.2 getPass_0.2-4 generics_0.1.3 gtable_0.3.4 tzdb_0.4.0 class_7.3-22 data.table_1.15.2 + #> [61] hms_1.1.3 sp_2.1-3 xml2_1.3.6 utf8_1.2.4 pillar_1.9.0 stringr_1.5.1 yulab.utils_0.1.4 later_1.3.2 lattice_0.21-9 FNN_1.1.4 deldir_2.0-4 tidyselect_1.2.1 + #> [73] rvcheck_0.2.1 miniUI_0.1.1.1 knitr_1.45 gitcreds_0.1.2 xfun_0.42 credentials_2.0.1 stringi_1.8.3 lazyeval_0.2.2 yaml_2.3.8 evaluate_0.23 codetools_0.2-19 tibble_3.2.1 + #> [85] BiocManager_1.30.22 cli_3.6.2 xtable_1.8-4 munsell_0.5.0 spacetime_1.3-1 Rcpp_1.0.12 gert_2.0.1 bdsmatrix_1.3-7 parallel_4.3.2 ellipsis_0.3.2 assertthat_0.2.1 profvis_0.3.8 + #> [97] urlchecker_1.0.1 viridisLite_0.4.2 mvtnorm_1.2-4 scales_1.3.0 xts_0.13.2 e1071_1.7-14 purrr_1.0.2 crayon_1.5.2 rlang_1.1.3 ## NOAA README diff --git a/data/public_data.rda b/data/public_data.rda index 7a050cf..64c3a31 100644 Binary files a/data/public_data.rda and b/data/public_data.rda differ diff --git a/data/species_data.rda b/data/species_data.rda index f01d2d5..6f7a6d4 100644 Binary files a/data/species_data.rda and b/data/species_data.rda differ diff --git a/data/station_coords.rda b/data/station_coords.rda index 4799902..54f8232 100644 Binary files a/data/station_coords.rda and b/data/station_coords.rda differ diff --git a/docs/articles/example-script.html b/docs/articles/example-script.html index 11ffcd3..a05bb1e 100644 --- a/docs/articles/example-script.html +++ b/docs/articles/example-script.html @@ -110,7 +110,7 @@

Install R package

@@ -232,8 +232,8 @@

What time is sunrise and sunset? survey = "GOA", station = "323-176") #> Using survey station (GOA 323-176) centroid location information (lat = 60.052, lon = -143.311) to calculate sunrise and sunset. -#> Sunrise is at 2024-04-04 06:47:00 AKDT -#> Sunset is at 2024-04-03 20:24:00 AKDT +#> Sunrise is at 2024-04-06 06:41:00 AKDT +#> Sunset is at 2024-04-05 20:29:00 AKDT get_sunrise_sunset(chosen_date = "2024-08-04", survey = "EBS", diff --git a/docs/deps/bootstrap-5.3.1/bootstrap.min.css b/docs/deps/bootstrap-5.3.1/bootstrap.min.css index cce517d..b5500f4 100644 --- a/docs/deps/bootstrap-5.3.1/bootstrap.min.css +++ b/docs/deps/bootstrap-5.3.1/bootstrap.min.css @@ -2,4 +2,4 @@ * Bootstrap v5.3.1 (https://getbootstrap.com/) * Copyright 2011-2023 The Bootstrap Authors * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE) - */:root,[data-bs-theme="light"]{--bs-blue: #007bc2;--bs-indigo: #4b00c1;--bs-purple: #74149c;--bs-pink: #bf007f;--bs-red: #c10000;--bs-orange: 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auto}.btn-group>.btn-check:checked+.btn,.btn-group>.btn-check:focus+.btn,.btn-group>.btn:hover,.btn-group>.btn:focus,.btn-group>.btn:active,.btn-group>.btn.active,.btn-group-vertical>.btn-check:checked+.btn,.btn-group-vertical>.btn-check:focus+.btn,.btn-group-vertical>.btn:hover,.btn-group-vertical>.btn:focus,.btn-group-vertical>.btn:active,.btn-group-vertical>.btn.active{z-index:1}.btn-toolbar{display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;justify-content:flex-start;-webkit-justify-content:flex-start}.btn-toolbar .input-group{width:auto}.btn-group{border-radius:var(--bs-border-radius)}.btn-group>:not(.btn-check:first-child)+.btn,.btn-group>.btn-group:not(:first-child){margin-left:calc(var(--bs-border-width) * -1)}.btn-group>.btn:not(:last-child):not(.dropdown-toggle),.btn-group>.btn.dropdown-toggle-split:first-child,.btn-group>.btn-group:not(:last-child)>.btn{border-top-right-radius:0;border-bottom-right-radius:0}.btn-group>.btn:nth-child(n + 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-1)}.btn-group-vertical>.btn:not(:last-child):not(.dropdown-toggle),.btn-group-vertical>.btn-group:not(:last-child)>.btn{border-bottom-right-radius:0;border-bottom-left-radius:0}.btn-group-vertical>.btn~.btn,.btn-group-vertical>.btn-group:not(:first-child)>.btn{border-top-left-radius:0;border-top-right-radius:0}.nav{--bs-nav-link-padding-x: 1rem;--bs-nav-link-padding-y: .5rem;--bs-nav-link-font-weight: ;--bs-nav-link-color: var(--bs-link-color);--bs-nav-link-hover-color: var(--bs-link-hover-color);--bs-nav-link-disabled-color: var(--bs-secondary-color);display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;padding-left:0;margin-bottom:0;list-style:none}.nav-link{display:block;padding:var(--bs-nav-link-padding-y) var(--bs-nav-link-padding-x);font-size:var(--bs-nav-link-font-size);font-weight:var(--bs-nav-link-font-weight);color:var(--bs-nav-link-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background:none;border:0;transition:color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.nav-link{transition:none}}.nav-link:hover,.nav-link:focus{color:var(--bs-nav-link-hover-color)}.nav-link:focus-visible{outline:0;box-shadow:0 0 0 .25rem rgba(0,123,194,0.25)}.nav-link.disabled,.nav-link:disabled{color:var(--bs-nav-link-disabled-color);pointer-events:none;cursor:default}.nav-tabs{--bs-nav-tabs-border-width: var(--bs-border-width);--bs-nav-tabs-border-color: var(--bs-border-color);--bs-nav-tabs-border-radius: var(--bs-border-radius);--bs-nav-tabs-link-hover-border-color: var(--bs-secondary-bg) var(--bs-secondary-bg) var(--bs-border-color);--bs-nav-tabs-link-active-color: var(--bs-emphasis-color);--bs-nav-tabs-link-active-bg: var(--bs-body-bg);--bs-nav-tabs-link-active-border-color: var(--bs-border-color) var(--bs-border-color) var(--bs-body-bg);border-bottom:var(--bs-nav-tabs-border-width) solid var(--bs-nav-tabs-border-color)}.nav-tabs .nav-link{margin-bottom:calc(-1 * var(--bs-nav-tabs-border-width));border:var(--bs-nav-tabs-border-width) solid transparent;border-top-left-radius:var(--bs-nav-tabs-border-radius);border-top-right-radius:var(--bs-nav-tabs-border-radius)}.nav-tabs .nav-link:hover,.nav-tabs .nav-link:focus{isolation:isolate;border-color:var(--bs-nav-tabs-link-hover-border-color)}.nav-tabs .nav-link.active,.nav-tabs .nav-item.show .nav-link{color:var(--bs-nav-tabs-link-active-color);background-color:var(--bs-nav-tabs-link-active-bg);border-color:var(--bs-nav-tabs-link-active-border-color)}.nav-tabs .dropdown-menu{margin-top:calc(-1 * 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.show>.nav-link{font-weight:700;color:var(--bs-nav-underline-link-active-color);border-bottom-color:currentcolor}.nav-fill>.nav-link,.nav-fill .nav-item{flex:1 1 auto;-webkit-flex:1 1 auto;text-align:center}.nav-justified>.nav-link,.nav-justified .nav-item{flex-basis:0;-webkit-flex-basis:0;flex-grow:1;-webkit-flex-grow:1;text-align:center}.nav-fill .nav-item .nav-link,.nav-justified .nav-item .nav-link{width:100%}.tab-content>.tab-pane{display:none}.tab-content>.active{display:block}.navbar{--bs-navbar-padding-x: .66rem;--bs-navbar-padding-y: .5rem;--bs-navbar-color: rgba(var(--bs-emphasis-color-rgb), 0.65);--bs-navbar-hover-color: rgba(var(--bs-emphasis-color-rgb), 0.8);--bs-navbar-disabled-color: rgba(var(--bs-emphasis-color-rgb), 0.3);--bs-navbar-active-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-padding-y: .3125rem;--bs-navbar-brand-margin-end: 1rem;--bs-navbar-brand-font-size: 1.25rem;--bs-navbar-brand-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-hover-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-nav-link-padding-x: .5rem;--bs-navbar-toggler-padding-y: .25rem;--bs-navbar-toggler-padding-x: .75rem;--bs-navbar-toggler-font-size: 1.25rem;--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%2829,31,33,0.75%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e");--bs-navbar-toggler-border-color: rgba(var(--bs-emphasis-color-rgb), 0.15);--bs-navbar-toggler-border-radius: var(--bs-border-radius);--bs-navbar-toggler-focus-width: .25rem;--bs-navbar-toggler-transition: box-shadow 0.15s ease-in-out;position:relative;display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;align-items:center;-webkit-align-items:center;justify-content:space-between;-webkit-justify-content:space-between;padding:var(--bs-navbar-padding-y) 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.navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand-md .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-md .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-md .navbar-nav-scroll{overflow:visible}.navbar-expand-md .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand-md .navbar-toggler{display:none}.navbar-expand-md .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-md .offcanvas .offcanvas-header{display:none}.navbar-expand-md .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}@media (min-width: 992px){.navbar-expand-lg{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand-lg .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand-lg .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-lg .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-lg .navbar-nav-scroll{overflow:visible}.navbar-expand-lg .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand-lg .navbar-toggler{display:none}.navbar-expand-lg .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-lg .offcanvas .offcanvas-header{display:none}.navbar-expand-lg .offcanvas 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.offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-xxl .offcanvas .offcanvas-header{display:none}.navbar-expand-xxl .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}.navbar-expand{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand .navbar-nav .dropdown-menu{position:absolute}.navbar-expand .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand .navbar-nav-scroll{overflow:visible}.navbar-expand .navbar-collapse{display:flex !important;display:-webkit-flex 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ease-in-out,border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out,border-radius 0.15s ease;--bs-accordion-border-color: var(--bs-border-color);--bs-accordion-border-width: var(--bs-border-width);--bs-accordion-border-radius: var(--bs-border-radius);--bs-accordion-inner-border-radius: calc(var(--bs-border-radius) - (var(--bs-border-width)));--bs-accordion-btn-padding-x: 1.25rem;--bs-accordion-btn-padding-y: 1rem;--bs-accordion-btn-color: var(--bs-body-color);--bs-accordion-btn-bg: var(--bs-accordion-bg);--bs-accordion-btn-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%231D1F21'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-icon-width: 1.25rem;--bs-accordion-btn-icon-transform: rotate(-180deg);--bs-accordion-btn-icon-transition: transform 0.2s ease-in-out;--bs-accordion-btn-active-icon: 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.accordion-button.collapsed{border-bottom-right-radius:var(--bs-accordion-inner-border-radius);border-bottom-left-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:last-of-type .accordion-collapse{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-body{padding:var(--bs-accordion-body-padding-y) var(--bs-accordion-body-padding-x)}.accordion-flush .accordion-collapse{border-width:0}.accordion-flush .accordion-item{border-right:0;border-left:0;border-radius:0}.accordion-flush .accordion-item:first-child{border-top:0}.accordion-flush .accordion-item:last-child{border-bottom:0}.accordion-flush .accordion-item .accordion-button,.accordion-flush .accordion-item .accordion-button.collapsed{border-radius:0}[data-bs-theme="dark"] .accordion-button::after{--bs-accordion-btn-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%2366b0da'%3e%3cpath 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var(--bs-breadcrumb-padding-x);margin-bottom:var(--bs-breadcrumb-margin-bottom);font-size:var(--bs-breadcrumb-font-size);list-style:none;background-color:var(--bs-breadcrumb-bg);border-radius:var(--bs-breadcrumb-border-radius)}.breadcrumb-item+.breadcrumb-item{padding-left:var(--bs-breadcrumb-item-padding-x)}.breadcrumb-item+.breadcrumb-item::before{float:left;padding-right:var(--bs-breadcrumb-item-padding-x);color:var(--bs-breadcrumb-divider-color);content:var(--bs-breadcrumb-divider, "/") /* rtl: var(--bs-breadcrumb-divider, "/") */}.breadcrumb-item.active{color:var(--bs-breadcrumb-item-active-color)}.pagination{--bs-pagination-padding-x: .75rem;--bs-pagination-padding-y: .375rem;--bs-pagination-font-size:1rem;--bs-pagination-color: var(--bs-link-color);--bs-pagination-bg: var(--bs-body-bg);--bs-pagination-border-width: var(--bs-border-width);--bs-pagination-border-color: var(--bs-border-color);--bs-pagination-border-radius: var(--bs-border-radius);--bs-pagination-hover-color: 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reduce){.page-link{transition:none}}.page-link:hover{z-index:2;color:var(--bs-pagination-hover-color);background-color:var(--bs-pagination-hover-bg);border-color:var(--bs-pagination-hover-border-color)}.page-link:focus{z-index:3;color:var(--bs-pagination-focus-color);background-color:var(--bs-pagination-focus-bg);outline:0;box-shadow:var(--bs-pagination-focus-box-shadow)}.page-link.active,.active>.page-link{z-index:3;color:var(--bs-pagination-active-color);background-color:var(--bs-pagination-active-bg);border-color:var(--bs-pagination-active-border-color)}.page-link.disabled,.disabled>.page-link{color:var(--bs-pagination-disabled-color);pointer-events:none;background-color:var(--bs-pagination-disabled-bg);border-color:var(--bs-pagination-disabled-border-color)}.page-item:not(:first-child) .page-link{margin-left:calc(var(--bs-border-width) * -1)}.page-item:first-child .page-link{border-top-left-radius:var(--bs-pagination-border-radius);border-bottom-left-radius:var(--bs-pagination-border-radius)}.page-item:last-child .page-link{border-top-right-radius:var(--bs-pagination-border-radius);border-bottom-right-radius:var(--bs-pagination-border-radius)}.pagination-lg{--bs-pagination-padding-x: 1.5rem;--bs-pagination-padding-y: .75rem;--bs-pagination-font-size:1.25rem;--bs-pagination-border-radius: var(--bs-border-radius-lg)}.pagination-sm{--bs-pagination-padding-x: .5rem;--bs-pagination-padding-y: .25rem;--bs-pagination-font-size:.875rem;--bs-pagination-border-radius: var(--bs-border-radius-sm)}.badge{--bs-badge-padding-x: .65em;--bs-badge-padding-y: .35em;--bs-badge-font-size:.75em;--bs-badge-font-weight: 700;--bs-badge-color: #fff;--bs-badge-border-radius: var(--bs-border-radius);display:inline-block;padding:var(--bs-badge-padding-y) var(--bs-badge-padding-x);font-size:var(--bs-badge-font-size);font-weight:var(--bs-badge-font-weight);line-height:1;color:var(--bs-badge-color);text-align:center;white-space:nowrap;vertical-align:baseline;border-radius:var(--bs-badge-border-radius)}.badge:empty{display:none}.btn .badge{position:relative;top:-1px}.alert{--bs-alert-bg: transparent;--bs-alert-padding-x: 1rem;--bs-alert-padding-y: 1rem;--bs-alert-margin-bottom: 1rem;--bs-alert-color: inherit;--bs-alert-border-color: transparent;--bs-alert-border: var(--bs-border-width) solid var(--bs-alert-border-color);--bs-alert-border-radius: var(--bs-border-radius);--bs-alert-link-color: inherit;position:relative;padding:var(--bs-alert-padding-y) var(--bs-alert-padding-x);margin-bottom:var(--bs-alert-margin-bottom);color:var(--bs-alert-color);background-color:var(--bs-alert-bg);border:var(--bs-alert-border);border-radius:var(--bs-alert-border-radius)}.alert-heading{color:inherit}.alert-link{font-weight:700;color:var(--bs-alert-link-color)}.alert-dismissible{padding-right:3rem}.alert-dismissible .btn-close{position:absolute;top:0;right:0;z-index:2;padding:1.25rem 1rem}.alert-default{--bs-alert-color: var(--bs-default-text-emphasis);--bs-alert-bg: var(--bs-default-bg-subtle);--bs-alert-border-color: var(--bs-default-border-subtle);--bs-alert-link-color: var(--bs-default-text-emphasis)}.alert-primary{--bs-alert-color: var(--bs-primary-text-emphasis);--bs-alert-bg: var(--bs-primary-bg-subtle);--bs-alert-border-color: var(--bs-primary-border-subtle);--bs-alert-link-color: var(--bs-primary-text-emphasis)}.alert-secondary{--bs-alert-color: var(--bs-secondary-text-emphasis);--bs-alert-bg: var(--bs-secondary-bg-subtle);--bs-alert-border-color: var(--bs-secondary-border-subtle);--bs-alert-link-color: var(--bs-secondary-text-emphasis)}.alert-success{--bs-alert-color: var(--bs-success-text-emphasis);--bs-alert-bg: var(--bs-success-bg-subtle);--bs-alert-border-color: var(--bs-success-border-subtle);--bs-alert-link-color: var(--bs-success-text-emphasis)}.alert-info{--bs-alert-color: var(--bs-info-text-emphasis);--bs-alert-bg: var(--bs-info-bg-subtle);--bs-alert-border-color: var(--bs-info-border-subtle);--bs-alert-link-color: var(--bs-info-text-emphasis)}.alert-warning{--bs-alert-color: var(--bs-warning-text-emphasis);--bs-alert-bg: var(--bs-warning-bg-subtle);--bs-alert-border-color: var(--bs-warning-border-subtle);--bs-alert-link-color: var(--bs-warning-text-emphasis)}.alert-danger{--bs-alert-color: var(--bs-danger-text-emphasis);--bs-alert-bg: var(--bs-danger-bg-subtle);--bs-alert-border-color: var(--bs-danger-border-subtle);--bs-alert-link-color: var(--bs-danger-text-emphasis)}.alert-light{--bs-alert-color: var(--bs-light-text-emphasis);--bs-alert-bg: var(--bs-light-bg-subtle);--bs-alert-border-color: var(--bs-light-border-subtle);--bs-alert-link-color: var(--bs-light-text-emphasis)}.alert-dark{--bs-alert-color: var(--bs-dark-text-emphasis);--bs-alert-bg: var(--bs-dark-bg-subtle);--bs-alert-border-color: var(--bs-dark-border-subtle);--bs-alert-link-color: var(--bs-dark-text-emphasis)}@keyframes progress-bar-stripes{0%{background-position-x:1rem}}.progress,.progress-stacked{--bs-progress-height: 1rem;--bs-progress-font-size:.75rem;--bs-progress-bg: var(--bs-secondary-bg);--bs-progress-border-radius: var(--bs-border-radius);--bs-progress-box-shadow: var(--bs-box-shadow-inset);--bs-progress-bar-color: #fff;--bs-progress-bar-bg: #007bc2;--bs-progress-bar-transition: width 0.6s ease;display:flex;display:-webkit-flex;height:var(--bs-progress-height);overflow:hidden;font-size:var(--bs-progress-font-size);background-color:var(--bs-progress-bg);border-radius:var(--bs-progress-border-radius)}.progress-bar{display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;justify-content:center;-webkit-justify-content:center;overflow:hidden;color:var(--bs-progress-bar-color);text-align:center;white-space:nowrap;background-color:var(--bs-progress-bar-bg);transition:var(--bs-progress-bar-transition)}@media (prefers-reduced-motion: reduce){.progress-bar{transition:none}}.progress-bar-striped{background-image:linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent);background-size:var(--bs-progress-height) var(--bs-progress-height)}.progress-stacked>.progress{overflow:visible}.progress-stacked>.progress>.progress-bar{width:100%}.progress-bar-animated{animation:1s linear infinite progress-bar-stripes}@media (prefers-reduced-motion: reduce){.progress-bar-animated{animation:none}}.list-group{--bs-list-group-color: var(--bs-body-color);--bs-list-group-bg: var(--bs-body-bg);--bs-list-group-border-color: var(--bs-border-color);--bs-list-group-border-width: var(--bs-border-width);--bs-list-group-border-radius: var(--bs-border-radius);--bs-list-group-item-padding-x: 1rem;--bs-list-group-item-padding-y: .5rem;--bs-list-group-action-color: var(--bs-secondary-color);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-tertiary-bg);--bs-list-group-action-active-color: var(--bs-body-color);--bs-list-group-action-active-bg: var(--bs-secondary-bg);--bs-list-group-disabled-color: var(--bs-secondary-color);--bs-list-group-disabled-bg: 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";counter-increment:section}.list-group-item-action{width:100%;color:var(--bs-list-group-action-color);text-align:inherit}.list-group-item-action:hover,.list-group-item-action:focus{z-index:1;color:var(--bs-list-group-action-hover-color);text-decoration:none;background-color:var(--bs-list-group-action-hover-bg)}.list-group-item-action:active{color:var(--bs-list-group-action-active-color);background-color:var(--bs-list-group-action-active-bg)}.list-group-item{position:relative;display:block;padding:var(--bs-list-group-item-padding-y) var(--bs-list-group-item-padding-x);color:var(--bs-list-group-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-list-group-bg);border:var(--bs-list-group-border-width) solid 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var(--bs-list-group-border-width));border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal>.list-group-item.active{margin-top:0}.list-group-horizontal>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}@media (min-width: 576px){.list-group-horizontal-sm{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-sm>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-sm>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-sm>.list-group-item.active{margin-top:0}.list-group-horizontal-sm>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-sm>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 768px){.list-group-horizontal-md{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-md>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-md>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-md>.list-group-item.active{margin-top:0}.list-group-horizontal-md>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-md>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 992px){.list-group-horizontal-lg{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-lg>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-lg>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-lg>.list-group-item.active{margin-top:0}.list-group-horizontal-lg>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-lg>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 1200px){.list-group-horizontal-xl{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-xl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xl>.list-group-item.active{margin-top:0}.list-group-horizontal-xl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xl>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 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var(--bs-secondary-text-emphasis);--bs-list-group-active-border-color: var(--bs-secondary-text-emphasis)}.list-group-item-success{--bs-list-group-color: var(--bs-success-text-emphasis);--bs-list-group-bg: var(--bs-success-bg-subtle);--bs-list-group-border-color: var(--bs-success-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-success-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-success-border-subtle);--bs-list-group-active-color: var(--bs-success-bg-subtle);--bs-list-group-active-bg: var(--bs-success-text-emphasis);--bs-list-group-active-border-color: var(--bs-success-text-emphasis)}.list-group-item-info{--bs-list-group-color: var(--bs-info-text-emphasis);--bs-list-group-bg: var(--bs-info-bg-subtle);--bs-list-group-border-color: var(--bs-info-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-info-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-info-border-subtle);--bs-list-group-active-color: var(--bs-info-bg-subtle);--bs-list-group-active-bg: var(--bs-info-text-emphasis);--bs-list-group-active-border-color: var(--bs-info-text-emphasis)}.list-group-item-warning{--bs-list-group-color: var(--bs-warning-text-emphasis);--bs-list-group-bg: var(--bs-warning-bg-subtle);--bs-list-group-border-color: var(--bs-warning-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-warning-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-warning-border-subtle);--bs-list-group-active-color: var(--bs-warning-bg-subtle);--bs-list-group-active-bg: var(--bs-warning-text-emphasis);--bs-list-group-active-border-color: var(--bs-warning-text-emphasis)}.list-group-item-danger{--bs-list-group-color: var(--bs-danger-text-emphasis);--bs-list-group-bg: var(--bs-danger-bg-subtle);--bs-list-group-border-color: var(--bs-danger-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-danger-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-danger-border-subtle);--bs-list-group-active-color: var(--bs-danger-bg-subtle);--bs-list-group-active-bg: var(--bs-danger-text-emphasis);--bs-list-group-active-border-color: var(--bs-danger-text-emphasis)}.list-group-item-light{--bs-list-group-color: var(--bs-light-text-emphasis);--bs-list-group-bg: var(--bs-light-bg-subtle);--bs-list-group-border-color: var(--bs-light-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-light-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-light-border-subtle);--bs-list-group-active-color: var(--bs-light-bg-subtle);--bs-list-group-active-bg: var(--bs-light-text-emphasis);--bs-list-group-active-border-color: var(--bs-light-text-emphasis)}.list-group-item-dark{--bs-list-group-color: var(--bs-dark-text-emphasis);--bs-list-group-bg: var(--bs-dark-bg-subtle);--bs-list-group-border-color: var(--bs-dark-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-dark-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-dark-border-subtle);--bs-list-group-active-color: var(--bs-dark-bg-subtle);--bs-list-group-active-bg: var(--bs-dark-text-emphasis);--bs-list-group-active-border-color: var(--bs-dark-text-emphasis)}.btn-close{--bs-btn-close-color: #000;--bs-btn-close-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' 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.5rem;--bs-btn-font-size:.875rem;--bs-btn-border-radius: var(--bs-border-radius-sm)}.fade{transition:opacity 0.15s linear}@media (prefers-reduced-motion: reduce){.fade{transition:none}}.fade:not(.show){opacity:0}.collapse:not(.show){display:none}.collapsing{height:0;overflow:hidden;transition:height 0.35s ease}@media (prefers-reduced-motion: reduce){.collapsing{transition:none}}.collapsing.collapse-horizontal{width:0;height:auto;transition:width 0.35s ease}@media (prefers-reduced-motion: reduce){.collapsing.collapse-horizontal{transition:none}}.dropup,.dropend,.dropdown,.dropstart,.dropup-center,.dropdown-center{position:relative}.dropdown-toggle{white-space:nowrap}.dropdown-toggle::after{display:inline-block;margin-left:.255em;vertical-align:.255em;content:"";border-top:.3em solid;border-right:.3em solid transparent;border-bottom:0;border-left:.3em solid transparent}.dropdown-toggle:empty::after{margin-left:0}.dropdown-menu{--bs-dropdown-zindex: 1000;--bs-dropdown-min-width: 10rem;--bs-dropdown-padding-x: 0;--bs-dropdown-padding-y: .5rem;--bs-dropdown-spacer: .125rem;--bs-dropdown-font-size:1rem;--bs-dropdown-color: var(--bs-body-color);--bs-dropdown-bg: var(--bs-body-bg);--bs-dropdown-border-color: var(--bs-border-color-translucent);--bs-dropdown-border-radius: var(--bs-border-radius);--bs-dropdown-border-width: var(--bs-border-width);--bs-dropdown-inner-border-radius: calc(var(--bs-border-radius) - var(--bs-border-width));--bs-dropdown-divider-bg: var(--bs-border-color-translucent);--bs-dropdown-divider-margin-y: .5rem;--bs-dropdown-box-shadow: 0px 1px 2px RGBA(var(--bslib-box-shadow-color-rgb), 0.1),0px 3px 7px RGBA(var(--bslib-box-shadow-color-rgb), 0.1),0px 12px 30px RGBA(var(--bslib-box-shadow-color-rgb), 0.08);--bs-dropdown-link-color: var(--bs-body-color);--bs-dropdown-link-hover-color: var(--bs-body-color);--bs-dropdown-link-hover-bg: var(--bs-tertiary-bg);--bs-dropdown-link-active-color: #fff;--bs-dropdown-link-active-bg: #007bc2;--bs-dropdown-link-disabled-color: var(--bs-tertiary-color);--bs-dropdown-item-padding-x: 1rem;--bs-dropdown-item-padding-y: .25rem;--bs-dropdown-header-color: #707782;--bs-dropdown-header-padding-x: 1rem;--bs-dropdown-header-padding-y: .5rem;position:absolute;z-index:var(--bs-dropdown-zindex);display:none;min-width:var(--bs-dropdown-min-width);padding:var(--bs-dropdown-padding-y) var(--bs-dropdown-padding-x);margin:0;font-size:var(--bs-dropdown-font-size);color:var(--bs-dropdown-color);text-align:left;list-style:none;background-color:var(--bs-dropdown-bg);background-clip:padding-box;border:var(--bs-dropdown-border-width) solid var(--bs-dropdown-border-color);border-radius:var(--bs-dropdown-border-radius)}.dropdown-menu[data-bs-popper]{top:100%;left:0;margin-top:var(--bs-dropdown-spacer)}.dropdown-menu-start{--bs-position: start}.dropdown-menu-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-end{--bs-position: end}.dropdown-menu-end[data-bs-popper]{right:0;left:auto}@media (min-width: 576px){.dropdown-menu-sm-start{--bs-position: start}.dropdown-menu-sm-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-sm-end{--bs-position: end}.dropdown-menu-sm-end[data-bs-popper]{right:0;left:auto}}@media (min-width: 768px){.dropdown-menu-md-start{--bs-position: start}.dropdown-menu-md-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-md-end{--bs-position: end}.dropdown-menu-md-end[data-bs-popper]{right:0;left:auto}}@media (min-width: 992px){.dropdown-menu-lg-start{--bs-position: start}.dropdown-menu-lg-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-lg-end{--bs-position: end}.dropdown-menu-lg-end[data-bs-popper]{right:0;left:auto}}@media (min-width: 1200px){.dropdown-menu-xl-start{--bs-position: start}.dropdown-menu-xl-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-xl-end{--bs-position: end}.dropdown-menu-xl-end[data-bs-popper]{right:0;left:auto}}@media (min-width: 1400px){.dropdown-menu-xxl-start{--bs-position: start}.dropdown-menu-xxl-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-xxl-end{--bs-position: end}.dropdown-menu-xxl-end[data-bs-popper]{right:0;left:auto}}.dropup .dropdown-menu[data-bs-popper]{top:auto;bottom:100%;margin-top:0;margin-bottom:var(--bs-dropdown-spacer)}.dropup .dropdown-toggle::after{display:inline-block;margin-left:.255em;vertical-align:.255em;content:"";border-top:0;border-right:.3em solid transparent;border-bottom:.3em solid;border-left:.3em solid transparent}.dropup .dropdown-toggle:empty::after{margin-left:0}.dropend .dropdown-menu[data-bs-popper]{top:0;right:auto;left:100%;margin-top:0;margin-left:var(--bs-dropdown-spacer)}.dropend .dropdown-toggle::after{display:inline-block;margin-left:.255em;vertical-align:.255em;content:"";border-top:.3em solid transparent;border-right:0;border-bottom:.3em solid transparent;border-left:.3em solid}.dropend .dropdown-toggle:empty::after{margin-left:0}.dropend .dropdown-toggle::after{vertical-align:0}.dropstart .dropdown-menu[data-bs-popper]{top:0;right:100%;left:auto;margin-top:0;margin-right:var(--bs-dropdown-spacer)}.dropstart .dropdown-toggle::after{display:inline-block;margin-left:.255em;vertical-align:.255em;content:""}.dropstart .dropdown-toggle::after{display:none}.dropstart .dropdown-toggle::before{display:inline-block;margin-right:.255em;vertical-align:.255em;content:"";border-top:.3em solid transparent;border-right:.3em solid;border-bottom:.3em solid transparent}.dropstart .dropdown-toggle:empty::after{margin-left:0}.dropstart .dropdown-toggle::before{vertical-align:0}.dropdown-divider{height:0;margin:var(--bs-dropdown-divider-margin-y) 0;overflow:hidden;border-top:1px solid var(--bs-dropdown-divider-bg);opacity:1}.dropdown-item{display:block;width:100%;padding:var(--bs-dropdown-item-padding-y) var(--bs-dropdown-item-padding-x);clear:both;font-weight:400;color:var(--bs-dropdown-link-color);text-align:inherit;text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;white-space:nowrap;background-color:transparent;border:0;border-radius:var(--bs-dropdown-item-border-radius, 0)}.dropdown-item:hover,.dropdown-item:focus{color:var(--bs-dropdown-link-hover-color);background-color:var(--bs-dropdown-link-hover-bg)}.dropdown-item.active,.dropdown-item:active{color:var(--bs-dropdown-link-active-color);text-decoration:none;background-color:var(--bs-dropdown-link-active-bg)}.dropdown-item.disabled,.dropdown-item:disabled{color:var(--bs-dropdown-link-disabled-color);pointer-events:none;background-color:transparent}.dropdown-menu.show{display:block}.dropdown-header{display:block;padding:var(--bs-dropdown-header-padding-y) var(--bs-dropdown-header-padding-x);margin-bottom:0;font-size:.875rem;color:var(--bs-dropdown-header-color);white-space:nowrap}.dropdown-item-text{display:block;padding:var(--bs-dropdown-item-padding-y) var(--bs-dropdown-item-padding-x);color:var(--bs-dropdown-link-color)}.dropdown-menu-dark{--bs-dropdown-color: #dee2e6;--bs-dropdown-bg: #343A46;--bs-dropdown-border-color: var(--bs-border-color-translucent);--bs-dropdown-box-shadow: ;--bs-dropdown-link-color: #dee2e6;--bs-dropdown-link-hover-color: #fff;--bs-dropdown-divider-bg: var(--bs-border-color-translucent);--bs-dropdown-link-hover-bg: rgba(255,255,255,0.15);--bs-dropdown-link-active-color: #fff;--bs-dropdown-link-active-bg: #007bc2;--bs-dropdown-link-disabled-color: #8D959E;--bs-dropdown-header-color: #8D959E}.btn-group,.btn-group-vertical{position:relative;display:inline-flex;vertical-align:middle}.btn-group>.btn,.btn-group-vertical>.btn{position:relative;flex:1 1 auto;-webkit-flex:1 1 auto}.btn-group>.btn-check:checked+.btn,.btn-group>.btn-check:focus+.btn,.btn-group>.btn:hover,.btn-group>.btn:focus,.btn-group>.btn:active,.btn-group>.btn.active,.btn-group-vertical>.btn-check:checked+.btn,.btn-group-vertical>.btn-check:focus+.btn,.btn-group-vertical>.btn:hover,.btn-group-vertical>.btn:focus,.btn-group-vertical>.btn:active,.btn-group-vertical>.btn.active{z-index:1}.btn-toolbar{display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;justify-content:flex-start;-webkit-justify-content:flex-start}.btn-toolbar .input-group{width:auto}.btn-group{border-radius:var(--bs-border-radius)}.btn-group>:not(.btn-check:first-child)+.btn,.btn-group>.btn-group:not(:first-child){margin-left:calc(var(--bs-border-width) * -1)}.btn-group>.btn:not(:last-child):not(.dropdown-toggle),.btn-group>.btn.dropdown-toggle-split:first-child,.btn-group>.btn-group:not(:last-child)>.btn{border-top-right-radius:0;border-bottom-right-radius:0}.btn-group>.btn:nth-child(n + 3),.btn-group>:not(.btn-check)+.btn,.btn-group>.btn-group:not(:first-child)>.btn{border-top-left-radius:0;border-bottom-left-radius:0}.dropdown-toggle-split{padding-right:1.5em;padding-left:1.5em}.dropdown-toggle-split::after,.dropup .dropdown-toggle-split::after,.dropend .dropdown-toggle-split::after{margin-left:0}.dropstart .dropdown-toggle-split::before{margin-right:0}.btn-sm+.dropdown-toggle-split,.btn-group-sm>.btn+.dropdown-toggle-split{padding-right:.375rem;padding-left:.375rem}.btn-lg+.dropdown-toggle-split,.btn-group-lg>.btn+.dropdown-toggle-split{padding-right:.75rem;padding-left:.75rem}.btn-group-vertical{flex-direction:column;-webkit-flex-direction:column;align-items:flex-start;-webkit-align-items:flex-start;justify-content:center;-webkit-justify-content:center}.btn-group-vertical>.btn,.btn-group-vertical>.btn-group{width:100%}.btn-group-vertical>.btn:not(:first-child),.btn-group-vertical>.btn-group:not(:first-child){margin-top:calc(var(--bs-border-width) * -1)}.btn-group-vertical>.btn:not(:last-child):not(.dropdown-toggle),.btn-group-vertical>.btn-group:not(:last-child)>.btn{border-bottom-right-radius:0;border-bottom-left-radius:0}.btn-group-vertical>.btn~.btn,.btn-group-vertical>.btn-group:not(:first-child)>.btn{border-top-left-radius:0;border-top-right-radius:0}.nav{--bs-nav-link-padding-x: 1rem;--bs-nav-link-padding-y: .5rem;--bs-nav-link-font-weight: ;--bs-nav-link-color: var(--bs-link-color);--bs-nav-link-hover-color: var(--bs-link-hover-color);--bs-nav-link-disabled-color: var(--bs-secondary-color);display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;padding-left:0;margin-bottom:0;list-style:none}.nav-link{display:block;padding:var(--bs-nav-link-padding-y) var(--bs-nav-link-padding-x);font-size:var(--bs-nav-link-font-size);font-weight:var(--bs-nav-link-font-weight);color:var(--bs-nav-link-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background:none;border:0;transition:color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.nav-link{transition:none}}.nav-link:hover,.nav-link:focus{color:var(--bs-nav-link-hover-color)}.nav-link:focus-visible{outline:0;box-shadow:0 0 0 .25rem rgba(0,123,194,0.25)}.nav-link.disabled,.nav-link:disabled{color:var(--bs-nav-link-disabled-color);pointer-events:none;cursor:default}.nav-tabs{--bs-nav-tabs-border-width: var(--bs-border-width);--bs-nav-tabs-border-color: var(--bs-border-color);--bs-nav-tabs-border-radius: var(--bs-border-radius);--bs-nav-tabs-link-hover-border-color: var(--bs-secondary-bg) var(--bs-secondary-bg) var(--bs-border-color);--bs-nav-tabs-link-active-color: var(--bs-emphasis-color);--bs-nav-tabs-link-active-bg: var(--bs-body-bg);--bs-nav-tabs-link-active-border-color: var(--bs-border-color) var(--bs-border-color) var(--bs-body-bg);border-bottom:var(--bs-nav-tabs-border-width) solid var(--bs-nav-tabs-border-color)}.nav-tabs .nav-link{margin-bottom:calc(-1 * var(--bs-nav-tabs-border-width));border:var(--bs-nav-tabs-border-width) solid transparent;border-top-left-radius:var(--bs-nav-tabs-border-radius);border-top-right-radius:var(--bs-nav-tabs-border-radius)}.nav-tabs .nav-link:hover,.nav-tabs .nav-link:focus{isolation:isolate;border-color:var(--bs-nav-tabs-link-hover-border-color)}.nav-tabs .nav-link.active,.nav-tabs .nav-item.show .nav-link{color:var(--bs-nav-tabs-link-active-color);background-color:var(--bs-nav-tabs-link-active-bg);border-color:var(--bs-nav-tabs-link-active-border-color)}.nav-tabs .dropdown-menu{margin-top:calc(-1 * var(--bs-nav-tabs-border-width));border-top-left-radius:0;border-top-right-radius:0}.nav-pills{--bs-nav-pills-border-radius: var(--bs-border-radius);--bs-nav-pills-link-active-color: #fff;--bs-nav-pills-link-active-bg: #007bc2}.nav-pills .nav-link{border-radius:var(--bs-nav-pills-border-radius)}.nav-pills .nav-link.active,.nav-pills .show>.nav-link{color:var(--bs-nav-pills-link-active-color);background-color:var(--bs-nav-pills-link-active-bg)}.nav-underline{--bs-nav-underline-gap: 1rem;--bs-nav-underline-border-width: .125rem;--bs-nav-underline-link-active-color: var(--bs-emphasis-color);gap:var(--bs-nav-underline-gap)}.nav-underline .nav-link{padding-right:0;padding-left:0;border-bottom:var(--bs-nav-underline-border-width) solid transparent}.nav-underline .nav-link:hover,.nav-underline .nav-link:focus{border-bottom-color:currentcolor}.nav-underline .nav-link.active,.nav-underline .show>.nav-link{font-weight:700;color:var(--bs-nav-underline-link-active-color);border-bottom-color:currentcolor}.nav-fill>.nav-link,.nav-fill .nav-item{flex:1 1 auto;-webkit-flex:1 1 auto;text-align:center}.nav-justified>.nav-link,.nav-justified .nav-item{flex-basis:0;-webkit-flex-basis:0;flex-grow:1;-webkit-flex-grow:1;text-align:center}.nav-fill .nav-item .nav-link,.nav-justified .nav-item .nav-link{width:100%}.tab-content>.tab-pane{display:none}.tab-content>.active{display:block}.navbar{--bs-navbar-padding-x: .66rem;--bs-navbar-padding-y: .5rem;--bs-navbar-color: rgba(var(--bs-emphasis-color-rgb), 0.65);--bs-navbar-hover-color: rgba(var(--bs-emphasis-color-rgb), 0.8);--bs-navbar-disabled-color: rgba(var(--bs-emphasis-color-rgb), 0.3);--bs-navbar-active-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-padding-y: .3125rem;--bs-navbar-brand-margin-end: 1rem;--bs-navbar-brand-font-size: 1.25rem;--bs-navbar-brand-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-hover-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-nav-link-padding-x: .5rem;--bs-navbar-toggler-padding-y: .25rem;--bs-navbar-toggler-padding-x: .75rem;--bs-navbar-toggler-font-size: 1.25rem;--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%2829,31,33,0.75%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e");--bs-navbar-toggler-border-color: rgba(var(--bs-emphasis-color-rgb), 0.15);--bs-navbar-toggler-border-radius: var(--bs-border-radius);--bs-navbar-toggler-focus-width: .25rem;--bs-navbar-toggler-transition: box-shadow 0.15s ease-in-out;position:relative;display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;align-items:center;-webkit-align-items:center;justify-content:space-between;-webkit-justify-content:space-between;padding:var(--bs-navbar-padding-y) 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.navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand-md .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-md .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-md .navbar-nav-scroll{overflow:visible}.navbar-expand-md .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand-md .navbar-toggler{display:none}.navbar-expand-md .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-md .offcanvas .offcanvas-header{display:none}.navbar-expand-md .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}@media (min-width: 992px){.navbar-expand-lg{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand-lg .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand-lg .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-lg .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-lg .navbar-nav-scroll{overflow:visible}.navbar-expand-lg .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand-lg .navbar-toggler{display:none}.navbar-expand-lg .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-lg .offcanvas .offcanvas-header{display:none}.navbar-expand-lg .offcanvas 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!important;transform:none !important;transition:none}.navbar-expand-xl .offcanvas .offcanvas-header{display:none}.navbar-expand-xl .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}@media (min-width: 1400px){.navbar-expand-xxl{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand-xxl .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand-xxl .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-xxl .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-xxl .navbar-nav-scroll{overflow:visible}.navbar-expand-xxl .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand-xxl .navbar-toggler{display:none}.navbar-expand-xxl .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-xxl .offcanvas .offcanvas-header{display:none}.navbar-expand-xxl .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}.navbar-expand{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand .navbar-nav .dropdown-menu{position:absolute}.navbar-expand .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand .navbar-nav-scroll{overflow:visible}.navbar-expand .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand .navbar-toggler{display:none}.navbar-expand .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand .offcanvas .offcanvas-header{display:none}.navbar-expand .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}.navbar-dark,.navbar[data-bs-theme="dark"]{--bs-navbar-color: rgba(var(--bs-emphasis-color-rgb), 0.55);--bs-navbar-hover-color: rgba(var(--bs-emphasis-color-rgb), 0.75);--bs-navbar-disabled-color: rgba(var(--bs-emphasis-color-rgb), 0.25);--bs-navbar-active-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-hover-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-toggler-border-color: rgba(var(--bs-emphasis-color-rgb), 0.1);--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%28255,255,255,0.75%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e")}[data-bs-theme="dark"] .navbar-toggler-icon{--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%28255,255,255,0.75%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e")}.card{--bs-card-spacer-y: 1rem;--bs-card-spacer-x: 1rem;--bs-card-title-spacer-y: .5rem;--bs-card-title-color: ;--bs-card-subtitle-color: ;--bs-card-border-width: var(--bs-border-width);--bs-card-border-color: var(--bs-border-color-translucent);--bs-card-border-radius: 8px;--bs-card-box-shadow: ;--bs-card-inner-border-radius: calc(8px - (var(--bs-border-width)));--bs-card-cap-padding-y: .5rem;--bs-card-cap-padding-x: 1rem;--bs-card-cap-bg: rgba(var(--bs-body-color-rgb), 0.03);--bs-card-cap-color: ;--bs-card-height: ;--bs-card-color: ;--bs-card-bg: var(--bs-body-bg);--bs-card-img-overlay-padding: 1rem;--bs-card-group-margin: .75rem;position:relative;display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;min-width:0;height:var(--bs-card-height);color:var(--bs-body-color);word-wrap:break-word;background-color:var(--bs-card-bg);background-clip:border-box;border:var(--bs-card-border-width) solid var(--bs-card-border-color);border-radius:var(--bs-card-border-radius)}.card>hr{margin-right:0;margin-left:0}.card>.list-group{border-top:inherit;border-bottom:inherit}.card>.list-group:first-child{border-top-width:0;border-top-left-radius:var(--bs-card-inner-border-radius);border-top-right-radius:var(--bs-card-inner-border-radius)}.card>.list-group:last-child{border-bottom-width:0;border-bottom-right-radius:var(--bs-card-inner-border-radius);border-bottom-left-radius:var(--bs-card-inner-border-radius)}.card>.card-header+.list-group,.card>.list-group+.card-footer{border-top:0}.card-body{flex:1 1 auto;-webkit-flex:1 1 auto;padding:var(--bs-card-spacer-y) var(--bs-card-spacer-x);color:var(--bs-card-color)}.card-title{margin-bottom:var(--bs-card-title-spacer-y);color:var(--bs-card-title-color)}.card-subtitle{margin-top:calc(-.5 * 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wrap;-webkit-flex-flow:row wrap}.card-group>.card{flex:1 0 0%;-webkit-flex:1 0 0%;margin-bottom:0}.card-group>.card+.card{margin-left:0;border-left:0}.card-group>.card:not(:last-child){border-top-right-radius:0;border-bottom-right-radius:0}.card-group>.card:not(:last-child) .card-img-top,.card-group>.card:not(:last-child) .card-header{border-top-right-radius:0}.card-group>.card:not(:last-child) .card-img-bottom,.card-group>.card:not(:last-child) .card-footer{border-bottom-right-radius:0}.card-group>.card:not(:first-child){border-top-left-radius:0;border-bottom-left-radius:0}.card-group>.card:not(:first-child) .card-img-top,.card-group>.card:not(:first-child) .card-header{border-top-left-radius:0}.card-group>.card:not(:first-child) .card-img-bottom,.card-group>.card:not(:first-child) .card-footer{border-bottom-left-radius:0}}.accordion{--bs-accordion-color: var(--bs-body-color);--bs-accordion-bg: var(--bs-body-bg);--bs-accordion-transition: color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out,border-radius 0.15s ease;--bs-accordion-border-color: var(--bs-border-color);--bs-accordion-border-width: var(--bs-border-width);--bs-accordion-border-radius: var(--bs-border-radius);--bs-accordion-inner-border-radius: calc(var(--bs-border-radius) - (var(--bs-border-width)));--bs-accordion-btn-padding-x: 1.25rem;--bs-accordion-btn-padding-y: 1rem;--bs-accordion-btn-color: var(--bs-body-color);--bs-accordion-btn-bg: var(--bs-accordion-bg);--bs-accordion-btn-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%231D1F21'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-icon-width: 1.25rem;--bs-accordion-btn-icon-transform: rotate(-180deg);--bs-accordion-btn-icon-transition: transform 0.2s ease-in-out;--bs-accordion-btn-active-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%2300314e'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-focus-border-color: #80bde1;--bs-accordion-btn-focus-box-shadow: 0 0 0 .25rem rgba(0,123,194,0.25);--bs-accordion-body-padding-x: 1.25rem;--bs-accordion-body-padding-y: 1rem;--bs-accordion-active-color: ;--bs-accordion-active-bg: }.accordion-button{position:relative;display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;width:100%;padding:var(--bs-accordion-btn-padding-y) var(--bs-accordion-btn-padding-x);font-size:1rem;color:var(--bs-accordion-btn-color);text-align:left;background-color:var(--bs-accordion-btn-bg);border:0;border-radius:0;overflow-anchor:none;transition:var(--bs-accordion-transition)}@media (prefers-reduced-motion: reduce){.accordion-button{transition:none}}.accordion-button:not(.collapsed){color:var(--bs-accordion-active-color);background-color:var(--bs-accordion-active-bg);box-shadow:inset 0 calc(-1 * var(--bs-accordion-border-width)) 0 var(--bs-accordion-border-color)}.accordion-button:not(.collapsed)::after{background-image:var(--bs-accordion-btn-active-icon);transform:var(--bs-accordion-btn-icon-transform)}.accordion-button::after{flex-shrink:0;-webkit-flex-shrink:0;width:var(--bs-accordion-btn-icon-width);height:var(--bs-accordion-btn-icon-width);margin-left:auto;content:"";background-image:var(--bs-accordion-btn-icon);background-repeat:no-repeat;background-size:var(--bs-accordion-btn-icon-width);transition:var(--bs-accordion-btn-icon-transition)}@media (prefers-reduced-motion: reduce){.accordion-button::after{transition:none}}.accordion-button:hover{z-index:2}.accordion-button:focus{z-index:3;border-color:var(--bs-accordion-btn-focus-border-color);outline:0;box-shadow:var(--bs-accordion-btn-focus-box-shadow)}.accordion-header{margin-bottom:0}.accordion-item{color:var(--bs-accordion-color);background-color:var(--bs-accordion-bg);border:var(--bs-accordion-border-width) solid var(--bs-accordion-border-color)}.accordion-item:first-of-type{border-top-left-radius:var(--bs-accordion-border-radius);border-top-right-radius:var(--bs-accordion-border-radius)}.accordion-item:first-of-type .accordion-button{border-top-left-radius:var(--bs-accordion-inner-border-radius);border-top-right-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:not(:first-of-type){border-top:0}.accordion-item:last-of-type{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-item:last-of-type .accordion-button.collapsed{border-bottom-right-radius:var(--bs-accordion-inner-border-radius);border-bottom-left-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:last-of-type .accordion-collapse{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-body{padding:var(--bs-accordion-body-padding-y) var(--bs-accordion-body-padding-x)}.accordion-flush .accordion-collapse{border-width:0}.accordion-flush .accordion-item{border-right:0;border-left:0;border-radius:0}.accordion-flush .accordion-item:first-child{border-top:0}.accordion-flush .accordion-item:last-child{border-bottom:0}.accordion-flush .accordion-item .accordion-button,.accordion-flush .accordion-item .accordion-button.collapsed{border-radius:0}[data-bs-theme="dark"] .accordion-button::after{--bs-accordion-btn-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%2366b0da'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-active-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%2366b0da'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e")}.breadcrumb{--bs-breadcrumb-padding-x: 0;--bs-breadcrumb-padding-y: 0;--bs-breadcrumb-margin-bottom: 1rem;--bs-breadcrumb-bg: ;--bs-breadcrumb-border-radius: ;--bs-breadcrumb-divider-color: var(--bs-secondary-color);--bs-breadcrumb-item-padding-x: .5rem;--bs-breadcrumb-item-active-color: var(--bs-secondary-color);display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;padding:var(--bs-breadcrumb-padding-y) var(--bs-breadcrumb-padding-x);margin-bottom:var(--bs-breadcrumb-margin-bottom);font-size:var(--bs-breadcrumb-font-size);list-style:none;background-color:var(--bs-breadcrumb-bg);border-radius:var(--bs-breadcrumb-border-radius)}.breadcrumb-item+.breadcrumb-item{padding-left:var(--bs-breadcrumb-item-padding-x)}.breadcrumb-item+.breadcrumb-item::before{float:left;padding-right:var(--bs-breadcrumb-item-padding-x);color:var(--bs-breadcrumb-divider-color);content:var(--bs-breadcrumb-divider, "/") /* rtl: var(--bs-breadcrumb-divider, "/") */}.breadcrumb-item.active{color:var(--bs-breadcrumb-item-active-color)}.pagination{--bs-pagination-padding-x: .75rem;--bs-pagination-padding-y: .375rem;--bs-pagination-font-size:1rem;--bs-pagination-color: var(--bs-link-color);--bs-pagination-bg: var(--bs-body-bg);--bs-pagination-border-width: var(--bs-border-width);--bs-pagination-border-color: var(--bs-border-color);--bs-pagination-border-radius: var(--bs-border-radius);--bs-pagination-hover-color: var(--bs-link-hover-color);--bs-pagination-hover-bg: var(--bs-tertiary-bg);--bs-pagination-hover-border-color: var(--bs-border-color);--bs-pagination-focus-color: var(--bs-link-hover-color);--bs-pagination-focus-bg: var(--bs-secondary-bg);--bs-pagination-focus-box-shadow: 0 0 0 .25rem rgba(0,123,194,0.25);--bs-pagination-active-color: #fff;--bs-pagination-active-bg: #007bc2;--bs-pagination-active-border-color: #007bc2;--bs-pagination-disabled-color: var(--bs-secondary-color);--bs-pagination-disabled-bg: var(--bs-secondary-bg);--bs-pagination-disabled-border-color: var(--bs-border-color);display:flex;display:-webkit-flex;padding-left:0;list-style:none}.page-link{position:relative;display:block;padding:var(--bs-pagination-padding-y) var(--bs-pagination-padding-x);font-size:var(--bs-pagination-font-size);color:var(--bs-pagination-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-pagination-bg);border:var(--bs-pagination-border-width) solid var(--bs-pagination-border-color);transition:color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.page-link{transition:none}}.page-link:hover{z-index:2;color:var(--bs-pagination-hover-color);background-color:var(--bs-pagination-hover-bg);border-color:var(--bs-pagination-hover-border-color)}.page-link:focus{z-index:3;color:var(--bs-pagination-focus-color);background-color:var(--bs-pagination-focus-bg);outline:0;box-shadow:var(--bs-pagination-focus-box-shadow)}.page-link.active,.active>.page-link{z-index:3;color:var(--bs-pagination-active-color);background-color:var(--bs-pagination-active-bg);border-color:var(--bs-pagination-active-border-color)}.page-link.disabled,.disabled>.page-link{color:var(--bs-pagination-disabled-color);pointer-events:none;background-color:var(--bs-pagination-disabled-bg);border-color:var(--bs-pagination-disabled-border-color)}.page-item:not(:first-child) .page-link{margin-left:calc(var(--bs-border-width) * -1)}.page-item:first-child .page-link{border-top-left-radius:var(--bs-pagination-border-radius);border-bottom-left-radius:var(--bs-pagination-border-radius)}.page-item:last-child .page-link{border-top-right-radius:var(--bs-pagination-border-radius);border-bottom-right-radius:var(--bs-pagination-border-radius)}.pagination-lg{--bs-pagination-padding-x: 1.5rem;--bs-pagination-padding-y: .75rem;--bs-pagination-font-size:1.25rem;--bs-pagination-border-radius: var(--bs-border-radius-lg)}.pagination-sm{--bs-pagination-padding-x: .5rem;--bs-pagination-padding-y: .25rem;--bs-pagination-font-size:.875rem;--bs-pagination-border-radius: var(--bs-border-radius-sm)}.badge{--bs-badge-padding-x: .65em;--bs-badge-padding-y: .35em;--bs-badge-font-size:.75em;--bs-badge-font-weight: 700;--bs-badge-color: #fff;--bs-badge-border-radius: var(--bs-border-radius);display:inline-block;padding:var(--bs-badge-padding-y) var(--bs-badge-padding-x);font-size:var(--bs-badge-font-size);font-weight:var(--bs-badge-font-weight);line-height:1;color:var(--bs-badge-color);text-align:center;white-space:nowrap;vertical-align:baseline;border-radius:var(--bs-badge-border-radius)}.badge:empty{display:none}.btn .badge{position:relative;top:-1px}.alert{--bs-alert-bg: transparent;--bs-alert-padding-x: 1rem;--bs-alert-padding-y: 1rem;--bs-alert-margin-bottom: 1rem;--bs-alert-color: inherit;--bs-alert-border-color: transparent;--bs-alert-border: var(--bs-border-width) solid var(--bs-alert-border-color);--bs-alert-border-radius: var(--bs-border-radius);--bs-alert-link-color: inherit;position:relative;padding:var(--bs-alert-padding-y) var(--bs-alert-padding-x);margin-bottom:var(--bs-alert-margin-bottom);color:var(--bs-alert-color);background-color:var(--bs-alert-bg);border:var(--bs-alert-border);border-radius:var(--bs-alert-border-radius)}.alert-heading{color:inherit}.alert-link{font-weight:700;color:var(--bs-alert-link-color)}.alert-dismissible{padding-right:3rem}.alert-dismissible .btn-close{position:absolute;top:0;right:0;z-index:2;padding:1.25rem 1rem}.alert-default{--bs-alert-color: var(--bs-default-text-emphasis);--bs-alert-bg: var(--bs-default-bg-subtle);--bs-alert-border-color: var(--bs-default-border-subtle);--bs-alert-link-color: var(--bs-default-text-emphasis)}.alert-primary{--bs-alert-color: var(--bs-primary-text-emphasis);--bs-alert-bg: var(--bs-primary-bg-subtle);--bs-alert-border-color: var(--bs-primary-border-subtle);--bs-alert-link-color: var(--bs-primary-text-emphasis)}.alert-secondary{--bs-alert-color: var(--bs-secondary-text-emphasis);--bs-alert-bg: var(--bs-secondary-bg-subtle);--bs-alert-border-color: var(--bs-secondary-border-subtle);--bs-alert-link-color: var(--bs-secondary-text-emphasis)}.alert-success{--bs-alert-color: var(--bs-success-text-emphasis);--bs-alert-bg: var(--bs-success-bg-subtle);--bs-alert-border-color: var(--bs-success-border-subtle);--bs-alert-link-color: var(--bs-success-text-emphasis)}.alert-info{--bs-alert-color: var(--bs-info-text-emphasis);--bs-alert-bg: var(--bs-info-bg-subtle);--bs-alert-border-color: var(--bs-info-border-subtle);--bs-alert-link-color: var(--bs-info-text-emphasis)}.alert-warning{--bs-alert-color: var(--bs-warning-text-emphasis);--bs-alert-bg: var(--bs-warning-bg-subtle);--bs-alert-border-color: var(--bs-warning-border-subtle);--bs-alert-link-color: var(--bs-warning-text-emphasis)}.alert-danger{--bs-alert-color: var(--bs-danger-text-emphasis);--bs-alert-bg: var(--bs-danger-bg-subtle);--bs-alert-border-color: var(--bs-danger-border-subtle);--bs-alert-link-color: var(--bs-danger-text-emphasis)}.alert-light{--bs-alert-color: var(--bs-light-text-emphasis);--bs-alert-bg: var(--bs-light-bg-subtle);--bs-alert-border-color: var(--bs-light-border-subtle);--bs-alert-link-color: var(--bs-light-text-emphasis)}.alert-dark{--bs-alert-color: var(--bs-dark-text-emphasis);--bs-alert-bg: var(--bs-dark-bg-subtle);--bs-alert-border-color: var(--bs-dark-border-subtle);--bs-alert-link-color: var(--bs-dark-text-emphasis)}@keyframes progress-bar-stripes{0%{background-position-x:1rem}}.progress,.progress-stacked{--bs-progress-height: 1rem;--bs-progress-font-size:.75rem;--bs-progress-bg: var(--bs-secondary-bg);--bs-progress-border-radius: var(--bs-border-radius);--bs-progress-box-shadow: var(--bs-box-shadow-inset);--bs-progress-bar-color: #fff;--bs-progress-bar-bg: #007bc2;--bs-progress-bar-transition: width 0.6s 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var(--bs-body-bg);--bs-list-group-active-color: #fff;--bs-list-group-active-bg: #007bc2;--bs-list-group-active-border-color: #007bc2;display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;padding-left:0;margin-bottom:0;border-radius:var(--bs-list-group-border-radius)}.list-group-numbered{list-style-type:none;counter-reset:section}.list-group-numbered>.list-group-item::before{content:counters(section, ".") 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var(--bs-list-group-border-color)}.list-group-item:first-child{border-top-left-radius:inherit;border-top-right-radius:inherit}.list-group-item:last-child{border-bottom-right-radius:inherit;border-bottom-left-radius:inherit}.list-group-item.disabled,.list-group-item:disabled{color:var(--bs-list-group-disabled-color);pointer-events:none;background-color:var(--bs-list-group-disabled-bg)}.list-group-item.active{z-index:2;color:var(--bs-list-group-active-color);background-color:var(--bs-list-group-active-bg);border-color:var(--bs-list-group-active-border-color)}.list-group-item+.list-group-item{border-top-width:0}.list-group-item+.list-group-item.active{margin-top:calc(-1 * 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576px){.list-group-horizontal-sm{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-sm>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-sm>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-sm>.list-group-item.active{margin-top:0}.list-group-horizontal-sm>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-sm>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 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992px){.list-group-horizontal-lg{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-lg>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-lg>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-lg>.list-group-item.active{margin-top:0}.list-group-horizontal-lg>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-lg>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 1200px){.list-group-horizontal-xl{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-xl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xl>.list-group-item.active{margin-top:0}.list-group-horizontal-xl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xl>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 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var(--bs-list-group-border-width)}.list-group-flush>.list-group-item:last-child{border-bottom-width:0}.list-group-item-default{--bs-list-group-color: var(--bs-default-text-emphasis);--bs-list-group-bg: var(--bs-default-bg-subtle);--bs-list-group-border-color: var(--bs-default-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-default-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-default-border-subtle);--bs-list-group-active-color: var(--bs-default-bg-subtle);--bs-list-group-active-bg: var(--bs-default-text-emphasis);--bs-list-group-active-border-color: var(--bs-default-text-emphasis)}.list-group-item-primary{--bs-list-group-color: var(--bs-primary-text-emphasis);--bs-list-group-bg: var(--bs-primary-bg-subtle);--bs-list-group-border-color: var(--bs-primary-border-subtle);--bs-list-group-action-hover-color: 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var(--bs-secondary-text-emphasis);--bs-list-group-active-border-color: var(--bs-secondary-text-emphasis)}.list-group-item-success{--bs-list-group-color: var(--bs-success-text-emphasis);--bs-list-group-bg: var(--bs-success-bg-subtle);--bs-list-group-border-color: var(--bs-success-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-success-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-success-border-subtle);--bs-list-group-active-color: var(--bs-success-bg-subtle);--bs-list-group-active-bg: var(--bs-success-text-emphasis);--bs-list-group-active-border-color: var(--bs-success-text-emphasis)}.list-group-item-info{--bs-list-group-color: var(--bs-info-text-emphasis);--bs-list-group-bg: var(--bs-info-bg-subtle);--bs-list-group-border-color: var(--bs-info-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-info-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-info-border-subtle);--bs-list-group-active-color: var(--bs-info-bg-subtle);--bs-list-group-active-bg: var(--bs-info-text-emphasis);--bs-list-group-active-border-color: var(--bs-info-text-emphasis)}.list-group-item-warning{--bs-list-group-color: var(--bs-warning-text-emphasis);--bs-list-group-bg: var(--bs-warning-bg-subtle);--bs-list-group-border-color: var(--bs-warning-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-warning-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-warning-border-subtle);--bs-list-group-active-color: var(--bs-warning-bg-subtle);--bs-list-group-active-bg: var(--bs-warning-text-emphasis);--bs-list-group-active-border-color: var(--bs-warning-text-emphasis)}.list-group-item-danger{--bs-list-group-color: var(--bs-danger-text-emphasis);--bs-list-group-bg: var(--bs-danger-bg-subtle);--bs-list-group-border-color: var(--bs-danger-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-danger-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-danger-border-subtle);--bs-list-group-active-color: var(--bs-danger-bg-subtle);--bs-list-group-active-bg: var(--bs-danger-text-emphasis);--bs-list-group-active-border-color: var(--bs-danger-text-emphasis)}.list-group-item-light{--bs-list-group-color: var(--bs-light-text-emphasis);--bs-list-group-bg: var(--bs-light-bg-subtle);--bs-list-group-border-color: var(--bs-light-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-light-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-light-border-subtle);--bs-list-group-active-color: var(--bs-light-bg-subtle);--bs-list-group-active-bg: var(--bs-light-text-emphasis);--bs-list-group-active-border-color: var(--bs-light-text-emphasis)}.list-group-item-dark{--bs-list-group-color: var(--bs-dark-text-emphasis);--bs-list-group-bg: var(--bs-dark-bg-subtle);--bs-list-group-border-color: var(--bs-dark-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-dark-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-dark-border-subtle);--bs-list-group-active-color: var(--bs-dark-bg-subtle);--bs-list-group-active-bg: var(--bs-dark-text-emphasis);--bs-list-group-active-border-color: var(--bs-dark-text-emphasis)}.btn-close{--bs-btn-close-color: #000;--bs-btn-close-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23000'%3e%3cpath d='M.293.293a1 1 0 0 1 1.414 0L8 6.586 14.293.293a1 1 0 1 1 1.414 1.414L9.414 8l6.293 6.293a1 1 0 0 1-1.414 1.414L8 9.414l-6.293 6.293a1 1 0 0 1-1.414-1.414L6.586 8 .293 1.707a1 1 0 0 1 0-1.414z'/%3e%3c/svg%3e");--bs-btn-close-opacity: .5;--bs-btn-close-hover-opacity: .75;--bs-btn-close-focus-shadow: 0 0 0 .25rem rgba(0,123,194,0.25);--bs-btn-close-focus-opacity: 1;--bs-btn-close-disabled-opacity: .25;--bs-btn-close-white-filter: invert(1) grayscale(100%) brightness(200%);box-sizing:content-box;width:1em;height:1em;padding:.25em .25em;color:var(--bs-btn-close-color);background:transparent var(--bs-btn-close-bg) center/1em auto no-repeat;border:0;border-radius:3px;opacity:var(--bs-btn-close-opacity)}.btn-close:hover{color:var(--bs-btn-close-color);text-decoration:none;opacity:var(--bs-btn-close-hover-opacity)}.btn-close:focus{outline:0;box-shadow:var(--bs-btn-close-focus-shadow);opacity:var(--bs-btn-close-focus-opacity)}.btn-close:disabled,.btn-close.disabled{pointer-events:none;user-select:none;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;-o-user-select:none;opacity:var(--bs-btn-close-disabled-opacity)}.btn-close-white{filter:var(--bs-btn-close-white-filter)}[data-bs-theme="dark"] .btn-close{filter:var(--bs-btn-close-white-filter)}.toast{--bs-toast-zindex: 1090;--bs-toast-padding-x: .75rem;--bs-toast-padding-y: .5rem;--bs-toast-spacing: 1.5rem;--bs-toast-max-width: 350px;--bs-toast-font-size:.875rem;--bs-toast-color: ;--bs-toast-bg: rgba(var(--bs-body-bg-rgb), 0.85);--bs-toast-border-width: var(--bs-border-width);--bs-toast-border-color: var(--bs-border-color-translucent);--bs-toast-border-radius: var(--bs-border-radius);--bs-toast-box-shadow: var(--bs-box-shadow);--bs-toast-header-color: var(--bs-secondary-color);--bs-toast-header-bg: rgba(var(--bs-body-bg-rgb), 0.85);--bs-toast-header-border-color: var(--bs-border-color-translucent);width:var(--bs-toast-max-width);max-width:100%;font-size:var(--bs-toast-font-size);color:var(--bs-toast-color);pointer-events:auto;background-color:var(--bs-toast-bg);background-clip:padding-box;border:var(--bs-toast-border-width) solid var(--bs-toast-border-color);box-shadow:var(--bs-toast-box-shadow);border-radius:var(--bs-toast-border-radius)}.toast.showing{opacity:0}.toast:not(.show){display:none}.toast-container{--bs-toast-zindex: 1090;position:absolute;z-index:var(--bs-toast-zindex);width:max-content;width:-webkit-max-content;width:-moz-max-content;width:-ms-max-content;width:-o-max-content;max-width:100%;pointer-events:none}.toast-container>:not(:last-child){margin-bottom:var(--bs-toast-spacing)}.toast-header{display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;padding:var(--bs-toast-padding-y) var(--bs-toast-padding-x);color:var(--bs-toast-header-color);background-color:var(--bs-toast-header-bg);background-clip:padding-box;border-bottom:var(--bs-toast-border-width) solid var(--bs-toast-header-border-color);border-top-left-radius:calc(var(--bs-toast-border-radius) - var(--bs-toast-border-width));border-top-right-radius:calc(var(--bs-toast-border-radius) - var(--bs-toast-border-width))}.toast-header .btn-close{margin-right:calc(-.5 * 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span.co{color:#5E5E5E}pre code span.cv{color:#5E5E5E;font-style:italic}pre code span.do{color:#5E5E5E;font-style:italic}pre code span.dt{color:#AD0000}pre code span.dv{color:#AD0000}pre code span.er{color:#AD0000}pre code span.fl{color:#AD0000}pre code span.fu{color:#4758AB}pre code span.im{color:#00769E}pre code span.in{color:#5E5E5E}pre code span.kw{color:#003B4F}pre code span.op{color:#5E5E5E}pre code span.ot{color:#003B4F}pre code span.pp{color:#AD0000}pre code span.sc{color:#5E5E5E}pre code span.ss{color:#20794D}pre code span.st{color:#20794D}pre code span.va{color:#111111}pre code span.vs{color:#20794D}pre code span.wa{color:#5E5E5E;font-style:italic} diff --git a/docs/deps/bootstrap-5.3.1/font.css b/docs/deps/bootstrap-5.3.1/font.css index fa85d55..b74f3e1 100644 --- a/docs/deps/bootstrap-5.3.1/font.css +++ b/docs/deps/bootstrap-5.3.1/font.css @@ -1,1452 +1,124 @@ -/* cyrillic-ext */ @font-face { font-family: 'Open Sans'; font-style: italic; font-weight: 300; - font-stretch: 100%; + font-stretch: normal; font-display: swap; - src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWtE6F15M.woff2) format('woff2'); - unicode-range: U+0460-052F, U+1C80-1C88, U+20B4, U+2DE0-2DFF, U+A640-A69F, U+FE2E-FE2F; + src: url(fonts/memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0Rk5hkaVQ.woff) format('woff'); } -/* cyrillic */ @font-face { font-family: 'Open Sans'; font-style: italic; - font-weight: 300; - font-stretch: 100%; - font-display: swap; - src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWvU6F15M.woff2) format('woff2'); - unicode-range: U+0301, U+0400-045F, U+0490-0491, U+04B0-04B1, U+2116; -} -/* greek-ext */ -@font-face { - font-family: 'Open Sans'; - font-style: italic; - font-weight: 300; - font-stretch: 100%; - font-display: swap; - src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWtU6F15M.woff2) format('woff2'); - unicode-range: U+1F00-1FFF; -} -/* greek */ -@font-face { - font-family: 'Open Sans'; - font-style: italic; - font-weight: 300; - font-stretch: 100%; - font-display: swap; - src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWuk6F15M.woff2) format('woff2'); - unicode-range: U+0370-0377, U+037A-037F, U+0384-038A, U+038C, U+038E-03A1, U+03A3-03FF; -} -/* hebrew */ -@font-face { - font-family: 'Open Sans'; - font-style: italic; - font-weight: 300; - font-stretch: 100%; - font-display: swap; - src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWu06F15M.woff2) format('woff2'); - unicode-range: U+0590-05FF, U+200C-2010, U+20AA, U+25CC, U+FB1D-FB4F; -} -/* math */ -@font-face { - font-family: 'Open Sans'; - font-style: italic; - font-weight: 300; - font-stretch: 100%; - font-display: swap; - src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWxU6F15M.woff2) format('woff2'); - unicode-range: U+0302-0303, U+0305, U+0307-0308, U+0330, U+0391-03A1, U+03A3-03A9, U+03B1-03C9, U+03D1, U+03D5-03D6, U+03F0-03F1, U+03F4-03F5, U+2034-2037, U+2057, U+20D0-20DC, U+20E1, U+20E5-20EF, U+2102, U+210A-210E, U+2110-2112, U+2115, 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U+1F700-1F7FF, U+1F800-1F80B, U+1F810-1F847, U+1F850-1F859, U+1F860-1F887, U+1F890-1F8AD, U+1F8B0-1F8B1, U+1F900-1F90B, U+1F93B, U+1F946, U+1F984, U+1F996, U+1F9E9, U+1FA00-1FA6F, U+1FA70-1FA7C, U+1FA80-1FA88, U+1FA90-1FABD, U+1FABF-1FAC5, U+1FACE-1FADB, U+1FAE0-1FAE8, U+1FAF0-1FAF8, U+1FB00-1FBFF; -} -/* vietnamese */ -@font-face { - font-family: 'Open Sans'; - font-style: italic; - font-weight: 300; - font-stretch: 100%; - font-display: swap; - src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWtk6F15M.woff2) format('woff2'); - unicode-range: U+0102-0103, U+0110-0111, U+0128-0129, U+0168-0169, U+01A0-01A1, U+01AF-01B0, U+0300-0301, U+0303-0304, U+0308-0309, U+0323, U+0329, U+1EA0-1EF9, U+20AB; -} -/* latin-ext */ -@font-face { - font-family: 'Open Sans'; - font-style: italic; - font-weight: 300; - font-stretch: 100%; - font-display: swap; - src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWt06F15M.woff2) format('woff2'); - unicode-range: U+0100-02AF, U+0304, U+0308, U+0329, U+1E00-1E9F, U+1EF2-1EFF, U+2020, U+20A0-20AB, U+20AD-20C0, U+2113, U+2C60-2C7F, U+A720-A7FF; -} -/* latin */ -@font-face { - font-family: 'Open Sans'; - font-style: italic; - font-weight: 300; - font-stretch: 100%; - font-display: swap; - src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWuU6F.woff2) format('woff2'); - unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA, U+02DC, U+0304, U+0308, U+0329, U+2000-206F, U+2074, U+20AC, U+2122, U+2191, U+2193, U+2212, U+2215, U+FEFF, U+FFFD; -} -/* cyrillic-ext */ -@font-face { - font-family: 'Open Sans'; - font-style: italic; - font-weight: 400; - font-stretch: 100%; - font-display: swap; - src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWtE6F15M.woff2) format('woff2'); - unicode-range: U+0460-052F, U+1C80-1C88, U+20B4, U+2DE0-2DFF, U+A640-A69F, U+FE2E-FE2F; -} -/* cyrillic */ -@font-face { - font-family: 'Open Sans'; - font-style: italic; - font-weight: 400; - font-stretch: 100%; - font-display: swap; - src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWvU6F15M.woff2) format('woff2'); - unicode-range: U+0301, U+0400-045F, U+0490-0491, U+04B0-04B1, U+2116; -} -/* greek-ext */ -@font-face { - font-family: 'Open Sans'; - font-style: italic; - font-weight: 400; - font-stretch: 100%; - font-display: swap; - src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWtU6F15M.woff2) format('woff2'); - unicode-range: U+1F00-1FFF; -} -/* greek */ -@font-face { - font-family: 'Open Sans'; - font-style: italic; - font-weight: 400; - font-stretch: 100%; - font-display: swap; - src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWuk6F15M.woff2) format('woff2'); - unicode-range: U+0370-0377, U+037A-037F, U+0384-038A, U+038C, U+038E-03A1, U+03A3-03FF; -} -/* hebrew */ -@font-face { - font-family: 'Open Sans'; - font-style: italic; - font-weight: 400; - font-stretch: 100%; - font-display: swap; - src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWu06F15M.woff2) format('woff2'); - unicode-range: U+0590-05FF, U+200C-2010, U+20AA, U+25CC, U+FB1D-FB4F; -} -/* math */ -@font-face { - font-family: 'Open Sans'; - font-style: italic; - font-weight: 400; - font-stretch: 100%; - font-display: swap; - src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWxU6F15M.woff2) format('woff2'); - unicode-range: U+0302-0303, U+0305, U+0307-0308, U+0330, U+0391-03A1, U+03A3-03A9, U+03B1-03C9, U+03D1, U+03D5-03D6, U+03F0-03F1, U+03F4-03F5, U+2034-2037, U+2057, U+20D0-20DC, U+20E1, U+20E5-20EF, U+2102, U+210A-210E, U+2110-2112, U+2115, U+2119-211D, U+2124, U+2128, U+212C-212D, U+212F-2131, U+2133-2138, U+213C-2140, U+2145-2149, U+2190, U+2192, U+2194-21AE, U+21B0-21E5, U+21F1-21F2, U+21F4-2211, U+2213-2214, U+2216-22FF, U+2308-230B, U+2310, U+2319, U+231C-2321, U+2336-237A, U+237C, U+2395, U+239B-23B6, U+23D0, U+23DC-23E1, U+2474-2475, U+25AF, U+25B3, U+25B7, U+25BD, U+25C1, U+25CA, U+25CC, U+25FB, U+266D-266F, U+27C0-27FF, U+2900-2AFF, U+2B0E-2B11, U+2B30-2B4C, U+2BFE, U+FF5B, U+FF5D, U+1D400-1D7FF, U+1EE00-1EEFF; -} -/* symbols */ -@font-face { - font-family: 'Open Sans'; - font-style: italic; - font-weight: 400; - font-stretch: 100%; - font-display: swap; - src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqW106F15M.woff2) format('woff2'); - unicode-range: U+0001-000C, U+000E-001F, U+007F-009F, U+20DD-20E0, U+20E2-20E4, U+2150-218F, U+2190, U+2192, U+2194-2199, U+21AF, U+21E6-21F0, U+21F3, U+2218-2219, U+2299, U+22C4-22C6, U+2300-243F, U+2440-244A, U+2460-24FF, U+25A0-27BF, U+2800-28FF, U+2921-2922, U+2981, U+29BF, U+29EB, U+2B00-2BFF, U+4DC0-4DFF, U+FFF9-FFFB, U+10140-1018E, U+10190-1019C, U+101A0, U+101D0-101FD, U+102E0-102FB, U+10E60-10E7E, U+1D2C0-1D2D3, U+1D2E0-1D37F, U+1F000-1F0FF, U+1F100-1F1AD, U+1F1E6-1F1FF, U+1F30D-1F30F, U+1F315, U+1F31C, U+1F31E, U+1F320-1F32C, U+1F336, U+1F378, U+1F37D, U+1F382, U+1F393-1F39F, U+1F3A7-1F3A8, U+1F3AC-1F3AF, U+1F3C2, U+1F3C4-1F3C6, U+1F3CA-1F3CE, U+1F3D4-1F3E0, U+1F3ED, U+1F3F1-1F3F3, U+1F3F5-1F3F7, U+1F408, U+1F415, U+1F41F, U+1F426, U+1F43F, U+1F441-1F442, U+1F444, U+1F446-1F449, U+1F44C-1F44E, U+1F453, U+1F46A, U+1F47D, U+1F4A3, U+1F4B0, U+1F4B3, U+1F4B9, U+1F4BB, U+1F4BF, U+1F4C8-1F4CB, U+1F4D6, U+1F4DA, U+1F4DF, U+1F4E3-1F4E6, U+1F4EA-1F4ED, U+1F4F7, U+1F4F9-1F4FB, U+1F4FD-1F4FE, U+1F503, U+1F507-1F50B, U+1F50D, U+1F512-1F513, U+1F53E-1F54A, U+1F54F-1F5FA, U+1F610, U+1F650-1F67F, U+1F687, U+1F68D, U+1F691, U+1F694, U+1F698, U+1F6AD, U+1F6B2, U+1F6B9-1F6BA, U+1F6BC, U+1F6C6-1F6CF, U+1F6D3-1F6D7, U+1F6E0-1F6EA, U+1F6F0-1F6F3, U+1F6F7-1F6FC, U+1F700-1F7FF, U+1F800-1F80B, U+1F810-1F847, U+1F850-1F859, U+1F860-1F887, U+1F890-1F8AD, U+1F8B0-1F8B1, U+1F900-1F90B, U+1F93B, U+1F946, U+1F984, U+1F996, U+1F9E9, U+1FA00-1FA6F, U+1FA70-1FA7C, U+1FA80-1FA88, U+1FA90-1FABD, U+1FABF-1FAC5, U+1FACE-1FADB, U+1FAE0-1FAE8, U+1FAF0-1FAF8, U+1FB00-1FBFF; -} -/* vietnamese */ -@font-face { - font-family: 'Open Sans'; - font-style: italic; - font-weight: 400; - font-stretch: 100%; - font-display: swap; - src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWtk6F15M.woff2) format('woff2'); - unicode-range: U+0102-0103, U+0110-0111, U+0128-0129, U+0168-0169, U+01A0-01A1, U+01AF-01B0, U+0300-0301, U+0303-0304, U+0308-0309, U+0323, U+0329, U+1EA0-1EF9, U+20AB; -} -/* latin-ext */ -@font-face { - font-family: 'Open Sans'; - font-style: italic; - font-weight: 400; - font-stretch: 100%; - font-display: swap; - src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWt06F15M.woff2) format('woff2'); - unicode-range: U+0100-02AF, U+0304, U+0308, U+0329, U+1E00-1E9F, U+1EF2-1EFF, U+2020, U+20A0-20AB, U+20AD-20C0, U+2113, U+2C60-2C7F, U+A720-A7FF; -} -/* latin */ -@font-face { - font-family: 'Open Sans'; - font-style: italic; - font-weight: 400; - font-stretch: 100%; - font-display: swap; - src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWuU6F.woff2) format('woff2'); - unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA, U+02DC, U+0304, U+0308, U+0329, U+2000-206F, U+2074, U+20AC, U+2122, U+2191, U+2193, U+2212, U+2215, U+FEFF, U+FFFD; -} -/* cyrillic-ext */ -@font-face { - font-family: 'Open Sans'; - font-style: italic; - font-weight: 500; - font-stretch: 100%; - font-display: swap; - src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWtE6F15M.woff2) format('woff2'); - unicode-range: U+0460-052F, U+1C80-1C88, U+20B4, U+2DE0-2DFF, U+A640-A69F, U+FE2E-FE2F; -} -/* cyrillic */ -@font-face { - font-family: 'Open Sans'; - font-style: italic; - font-weight: 500; - font-stretch: 100%; - font-display: swap; - src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWvU6F15M.woff2) format('woff2'); - unicode-range: U+0301, U+0400-045F, U+0490-0491, U+04B0-04B1, U+2116; -} -/* greek-ext */ -@font-face { - font-family: 'Open Sans'; - font-style: italic; - font-weight: 500; - font-stretch: 100%; - font-display: swap; - src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWtU6F15M.woff2) format('woff2'); - unicode-range: U+1F00-1FFF; -} -/* greek */ -@font-face { - font-family: 'Open Sans'; - font-style: italic; - font-weight: 500; - font-stretch: 100%; - font-display: swap; - src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWuk6F15M.woff2) format('woff2'); - unicode-range: U+0370-0377, U+037A-037F, U+0384-038A, U+038C, U+038E-03A1, U+03A3-03FF; -} -/* hebrew */ -@font-face { - font-family: 'Open Sans'; - font-style: italic; - font-weight: 500; - font-stretch: 100%; - font-display: swap; - src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWu06F15M.woff2) format('woff2'); - unicode-range: U+0590-05FF, U+200C-2010, U+20AA, U+25CC, U+FB1D-FB4F; -} -/* math */ -@font-face { - font-family: 'Open Sans'; - font-style: italic; - font-weight: 500; - font-stretch: 100%; - font-display: swap; - src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWxU6F15M.woff2) format('woff2'); - unicode-range: U+0302-0303, U+0305, U+0307-0308, U+0330, U+0391-03A1, U+03A3-03A9, U+03B1-03C9, U+03D1, U+03D5-03D6, U+03F0-03F1, U+03F4-03F5, U+2034-2037, U+2057, U+20D0-20DC, U+20E1, U+20E5-20EF, U+2102, U+210A-210E, U+2110-2112, U+2115, U+2119-211D, U+2124, U+2128, U+212C-212D, U+212F-2131, U+2133-2138, U+213C-2140, U+2145-2149, U+2190, U+2192, U+2194-21AE, U+21B0-21E5, U+21F1-21F2, U+21F4-2211, U+2213-2214, U+2216-22FF, U+2308-230B, U+2310, U+2319, U+231C-2321, U+2336-237A, U+237C, U+2395, U+239B-23B6, U+23D0, U+23DC-23E1, U+2474-2475, U+25AF, U+25B3, U+25B7, U+25BD, U+25C1, U+25CA, U+25CC, U+25FB, U+266D-266F, U+27C0-27FF, U+2900-2AFF, U+2B0E-2B11, U+2B30-2B4C, U+2BFE, U+FF5B, U+FF5D, U+1D400-1D7FF, U+1EE00-1EEFF; -} -/* symbols */ -@font-face { - font-family: 'Open Sans'; - font-style: italic; - font-weight: 500; - font-stretch: 100%; - font-display: swap; - src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqW106F15M.woff2) format('woff2'); - unicode-range: U+0001-000C, U+000E-001F, U+007F-009F, U+20DD-20E0, U+20E2-20E4, U+2150-218F, U+2190, U+2192, U+2194-2199, U+21AF, U+21E6-21F0, U+21F3, U+2218-2219, U+2299, U+22C4-22C6, U+2300-243F, 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U+1F6C6-1F6CF, U+1F6D3-1F6D7, U+1F6E0-1F6EA, U+1F6F0-1F6F3, U+1F6F7-1F6FC, U+1F700-1F7FF, U+1F800-1F80B, U+1F810-1F847, U+1F850-1F859, U+1F860-1F887, U+1F890-1F8AD, U+1F8B0-1F8B1, U+1F900-1F90B, U+1F93B, U+1F946, U+1F984, U+1F996, U+1F9E9, U+1FA00-1FA6F, U+1FA70-1FA7C, U+1FA80-1FA88, U+1FA90-1FABD, U+1FABF-1FAC5, U+1FACE-1FADB, U+1FAE0-1FAE8, U+1FAF0-1FAF8, U+1FB00-1FBFF; -} -/* vietnamese */ -@font-face { - font-family: 'Open Sans'; - font-style: italic; - font-weight: 500; - font-stretch: 100%; - font-display: swap; - src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWtk6F15M.woff2) format('woff2'); - unicode-range: U+0102-0103, U+0110-0111, U+0128-0129, U+0168-0169, U+01A0-01A1, U+01AF-01B0, U+0300-0301, U+0303-0304, U+0308-0309, U+0323, U+0329, U+1EA0-1EF9, U+20AB; -} -/* latin-ext */ -@font-face { - font-family: 'Open Sans'; - font-style: italic; - font-weight: 500; - font-stretch: 100%; - font-display: swap; - src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWt06F15M.woff2) format('woff2'); - unicode-range: U+0100-02AF, U+0304, U+0308, U+0329, U+1E00-1E9F, U+1EF2-1EFF, U+2020, U+20A0-20AB, U+20AD-20C0, U+2113, U+2C60-2C7F, U+A720-A7FF; -} -/* latin */ -@font-face { - font-family: 'Open Sans'; - font-style: italic; - font-weight: 500; - font-stretch: 100%; - font-display: swap; - src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWuU6F.woff2) format('woff2'); - unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA, U+02DC, U+0304, U+0308, U+0329, U+2000-206F, U+2074, U+20AC, U+2122, U+2191, U+2193, U+2212, U+2215, U+FEFF, U+FFFD; -} -/* cyrillic-ext */ -@font-face { - font-family: 'Open Sans'; - font-style: italic; - font-weight: 600; - font-stretch: 100%; - font-display: swap; - src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWtE6F15M.woff2) format('woff2'); - unicode-range: U+0460-052F, U+1C80-1C88, U+20B4, U+2DE0-2DFF, U+A640-A69F, U+FE2E-FE2F; -} -/* cyrillic */ -@font-face { - font-family: 'Open Sans'; - font-style: italic; - font-weight: 600; - font-stretch: 100%; - font-display: swap; - src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWvU6F15M.woff2) format('woff2'); - unicode-range: U+0301, U+0400-045F, U+0490-0491, U+04B0-04B1, U+2116; -} -/* greek-ext */ -@font-face { - font-family: 'Open Sans'; - font-style: italic; - font-weight: 600; - font-stretch: 100%; - font-display: swap; - src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWtU6F15M.woff2) format('woff2'); - unicode-range: U+1F00-1FFF; -} -/* greek */ -@font-face { - font-family: 'Open Sans'; - font-style: italic; - font-weight: 600; - font-stretch: 100%; - font-display: swap; - src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWuk6F15M.woff2) format('woff2'); - unicode-range: U+0370-0377, U+037A-037F, U+0384-038A, U+038C, U+038E-03A1, U+03A3-03FF; -} -/* hebrew */ -@font-face { - font-family: 'Open Sans'; - font-style: italic; - font-weight: 600; - font-stretch: 100%; - font-display: swap; - src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWu06F15M.woff2) format('woff2'); - unicode-range: U+0590-05FF, U+200C-2010, U+20AA, U+25CC, U+FB1D-FB4F; -} -/* math */ -@font-face { - font-family: 'Open Sans'; - font-style: italic; - font-weight: 600; - font-stretch: 100%; - font-display: swap; - src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWxU6F15M.woff2) format('woff2'); - unicode-range: U+0302-0303, U+0305, U+0307-0308, U+0330, U+0391-03A1, U+03A3-03A9, U+03B1-03C9, U+03D1, U+03D5-03D6, U+03F0-03F1, U+03F4-03F5, U+2034-2037, U+2057, U+20D0-20DC, U+20E1, U+20E5-20EF, U+2102, U+210A-210E, U+2110-2112, U+2115, U+2119-211D, U+2124, U+2128, U+212C-212D, U+212F-2131, U+2133-2138, U+213C-2140, U+2145-2149, U+2190, U+2192, U+2194-21AE, U+21B0-21E5, U+21F1-21F2, U+21F4-2211, U+2213-2214, U+2216-22FF, U+2308-230B, U+2310, U+2319, U+231C-2321, U+2336-237A, U+237C, U+2395, U+239B-23B6, U+23D0, U+23DC-23E1, U+2474-2475, U+25AF, U+25B3, U+25B7, U+25BD, U+25C1, U+25CA, U+25CC, U+25FB, U+266D-266F, U+27C0-27FF, U+2900-2AFF, U+2B0E-2B11, U+2B30-2B4C, U+2BFE, U+FF5B, U+FF5D, U+1D400-1D7FF, U+1EE00-1EEFF; -} -/* symbols */ -@font-face { - font-family: 'Open Sans'; - font-style: italic; - font-weight: 600; - font-stretch: 100%; - font-display: swap; - src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqW106F15M.woff2) format('woff2'); - unicode-range: U+0001-000C, U+000E-001F, U+007F-009F, U+20DD-20E0, U+20E2-20E4, U+2150-218F, U+2190, U+2192, U+2194-2199, U+21AF, U+21E6-21F0, U+21F3, U+2218-2219, U+2299, U+22C4-22C6, U+2300-243F, U+2440-244A, U+2460-24FF, U+25A0-27BF, U+2800-28FF, U+2921-2922, U+2981, U+29BF, U+29EB, U+2B00-2BFF, U+4DC0-4DFF, U+FFF9-FFFB, U+10140-1018E, U+10190-1019C, U+101A0, U+101D0-101FD, U+102E0-102FB, U+10E60-10E7E, U+1D2C0-1D2D3, U+1D2E0-1D37F, U+1F000-1F0FF, U+1F100-1F1AD, U+1F1E6-1F1FF, U+1F30D-1F30F, U+1F315, U+1F31C, U+1F31E, U+1F320-1F32C, U+1F336, U+1F378, U+1F37D, U+1F382, U+1F393-1F39F, U+1F3A7-1F3A8, U+1F3AC-1F3AF, U+1F3C2, U+1F3C4-1F3C6, U+1F3CA-1F3CE, U+1F3D4-1F3E0, U+1F3ED, U+1F3F1-1F3F3, U+1F3F5-1F3F7, U+1F408, U+1F415, U+1F41F, U+1F426, U+1F43F, U+1F441-1F442, U+1F444, U+1F446-1F449, U+1F44C-1F44E, U+1F453, U+1F46A, U+1F47D, U+1F4A3, U+1F4B0, U+1F4B3, U+1F4B9, U+1F4BB, U+1F4BF, U+1F4C8-1F4CB, U+1F4D6, U+1F4DA, U+1F4DF, U+1F4E3-1F4E6, U+1F4EA-1F4ED, U+1F4F7, U+1F4F9-1F4FB, U+1F4FD-1F4FE, U+1F503, U+1F507-1F50B, U+1F50D, U+1F512-1F513, U+1F53E-1F54A, U+1F54F-1F5FA, U+1F610, U+1F650-1F67F, U+1F687, U+1F68D, U+1F691, U+1F694, U+1F698, U+1F6AD, U+1F6B2, U+1F6B9-1F6BA, U+1F6BC, U+1F6C6-1F6CF, U+1F6D3-1F6D7, U+1F6E0-1F6EA, U+1F6F0-1F6F3, U+1F6F7-1F6FC, U+1F700-1F7FF, U+1F800-1F80B, U+1F810-1F847, U+1F850-1F859, U+1F860-1F887, U+1F890-1F8AD, U+1F8B0-1F8B1, U+1F900-1F90B, U+1F93B, U+1F946, U+1F984, U+1F996, U+1F9E9, U+1FA00-1FA6F, U+1FA70-1FA7C, U+1FA80-1FA88, U+1FA90-1FABD, U+1FABF-1FAC5, U+1FACE-1FADB, U+1FAE0-1FAE8, U+1FAF0-1FAF8, U+1FB00-1FBFF; -} -/* vietnamese */ -@font-face { - font-family: 'Open Sans'; - font-style: italic; - font-weight: 600; - font-stretch: 100%; - font-display: swap; - src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWtk6F15M.woff2) format('woff2'); - unicode-range: U+0102-0103, U+0110-0111, U+0128-0129, U+0168-0169, U+01A0-01A1, U+01AF-01B0, U+0300-0301, U+0303-0304, U+0308-0309, U+0323, U+0329, U+1EA0-1EF9, U+20AB; -} -/* latin-ext */ -@font-face { - font-family: 'Open Sans'; - font-style: italic; - font-weight: 600; - font-stretch: 100%; - font-display: swap; - src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWt06F15M.woff2) format('woff2'); - unicode-range: U+0100-02AF, U+0304, U+0308, U+0329, U+1E00-1E9F, U+1EF2-1EFF, U+2020, U+20A0-20AB, U+20AD-20C0, U+2113, U+2C60-2C7F, U+A720-A7FF; -} -/* latin */ -@font-face { - font-family: 'Open Sans'; - font-style: italic; - font-weight: 600; - font-stretch: 100%; - font-display: swap; - src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWuU6F.woff2) format('woff2'); - unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA, U+02DC, U+0304, U+0308, U+0329, U+2000-206F, U+2074, U+20AC, U+2122, U+2191, U+2193, U+2212, U+2215, U+FEFF, U+FFFD; -} -/* cyrillic-ext */ -@font-face { - font-family: 'Open Sans'; - font-style: italic; - font-weight: 700; - font-stretch: 100%; - font-display: swap; - src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWtE6F15M.woff2) format('woff2'); - unicode-range: U+0460-052F, U+1C80-1C88, U+20B4, U+2DE0-2DFF, U+A640-A69F, U+FE2E-FE2F; -} -/* cyrillic */ -@font-face { - font-family: 'Open Sans'; - font-style: italic; - font-weight: 700; - font-stretch: 100%; - font-display: swap; - src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWvU6F15M.woff2) format('woff2'); - unicode-range: U+0301, U+0400-045F, U+0490-0491, U+04B0-04B1, U+2116; -} -/* greek-ext */ -@font-face { - font-family: 'Open Sans'; - font-style: italic; - font-weight: 700; - font-stretch: 100%; - font-display: swap; - src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWtU6F15M.woff2) format('woff2'); - unicode-range: U+1F00-1FFF; -} -/* greek */ -@font-face { - font-family: 'Open Sans'; - font-style: italic; - font-weight: 700; - font-stretch: 100%; - font-display: swap; - src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWuk6F15M.woff2) format('woff2'); - unicode-range: U+0370-0377, U+037A-037F, U+0384-038A, U+038C, U+038E-03A1, U+03A3-03FF; -} -/* hebrew */ -@font-face { - font-family: 'Open Sans'; - font-style: italic; - font-weight: 700; - font-stretch: 100%; - font-display: swap; - src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWu06F15M.woff2) format('woff2'); - unicode-range: U+0590-05FF, U+200C-2010, U+20AA, U+25CC, U+FB1D-FB4F; -} -/* math */ -@font-face { - font-family: 'Open Sans'; - font-style: italic; - font-weight: 700; - font-stretch: 100%; - font-display: swap; - src: url(fonts/memtYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWqWxU6F15M.woff2) format('woff2'); - unicode-range: 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600; - font-stretch: 100%; - font-display: swap; - src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTSKmu1aB.woff2) format('woff2'); - unicode-range: U+0460-052F, U+1C80-1C88, U+20B4, U+2DE0-2DFF, U+A640-A69F, U+FE2E-FE2F; -} -/* cyrillic */ -@font-face { - font-family: 'Open Sans'; - font-style: normal; - font-weight: 600; - font-stretch: 100%; - font-display: swap; - src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTSumu1aB.woff2) format('woff2'); - unicode-range: U+0301, U+0400-045F, U+0490-0491, U+04B0-04B1, U+2116; -} -/* greek-ext */ -@font-face { - font-family: 'Open Sans'; - font-style: normal; - font-weight: 600; - font-stretch: 100%; - font-display: swap; - src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTSOmu1aB.woff2) format('woff2'); - unicode-range: U+1F00-1FFF; -} -/* greek */ -@font-face { - font-family: 'Open Sans'; - font-style: normal; - font-weight: 600; - font-stretch: 100%; - font-display: swap; - src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTSymu1aB.woff2) format('woff2'); - unicode-range: U+0370-0377, U+037A-037F, U+0384-038A, U+038C, U+038E-03A1, U+03A3-03FF; -} -/* hebrew */ -@font-face { - font-family: 'Open Sans'; - font-style: normal; - font-weight: 600; - font-stretch: 100%; - font-display: swap; - src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTS2mu1aB.woff2) format('woff2'); - unicode-range: U+0590-05FF, U+200C-2010, U+20AA, U+25CC, U+FB1D-FB4F; -} -/* math */ -@font-face { - font-family: 'Open Sans'; - font-style: normal; - font-weight: 600; - font-stretch: 100%; - font-display: swap; - src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTVOmu1aB.woff2) format('woff2'); - unicode-range: U+0302-0303, U+0305, U+0307-0308, U+0330, U+0391-03A1, U+03A3-03A9, U+03B1-03C9, U+03D1, U+03D5-03D6, U+03F0-03F1, U+03F4-03F5, U+2034-2037, U+2057, U+20D0-20DC, U+20E1, U+20E5-20EF, U+2102, U+210A-210E, U+2110-2112, U+2115, U+2119-211D, U+2124, U+2128, U+212C-212D, U+212F-2131, 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U+1F850-1F859, U+1F860-1F887, U+1F890-1F8AD, U+1F8B0-1F8B1, U+1F900-1F90B, U+1F93B, U+1F946, U+1F984, U+1F996, U+1F9E9, U+1FA00-1FA6F, U+1FA70-1FA7C, U+1FA80-1FA88, U+1FA90-1FABD, U+1FABF-1FAC5, U+1FACE-1FADB, U+1FAE0-1FAE8, U+1FAF0-1FAF8, U+1FB00-1FBFF; -} -/* vietnamese */ -@font-face { - font-family: 'Open Sans'; - font-style: normal; - font-weight: 600; - font-stretch: 100%; + font-weight: 400; + font-stretch: normal; font-display: swap; - src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTSCmu1aB.woff2) format('woff2'); - unicode-range: U+0102-0103, U+0110-0111, U+0128-0129, U+0168-0169, U+01A0-01A1, U+01AF-01B0, U+0300-0301, U+0303-0304, U+0308-0309, U+0323, U+0329, U+1EA0-1EF9, U+20AB; + src: url(fonts/memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0Rk8ZkaVQ.woff) format('woff'); } -/* latin-ext */ @font-face { font-family: 'Open Sans'; - font-style: normal; - font-weight: 600; - font-stretch: 100%; + font-style: italic; + font-weight: 500; + font-stretch: normal; font-display: swap; - src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTSGmu1aB.woff2) format('woff2'); - unicode-range: U+0100-02AF, U+0304, U+0308, U+0329, U+1E00-1E9F, U+1EF2-1EFF, U+2020, U+20A0-20AB, U+20AD-20C0, U+2113, U+2C60-2C7F, U+A720-A7FF; + src: url(fonts/memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0Rk_RkaVQ.woff) format('woff'); } -/* latin */ @font-face { font-family: 'Open Sans'; - font-style: normal; + font-style: italic; font-weight: 600; - font-stretch: 100%; - font-display: swap; - src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTS-muw.woff2) format('woff2'); - unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA, U+02DC, U+0304, U+0308, U+0329, U+2000-206F, U+2074, U+20AC, U+2122, U+2191, U+2193, U+2212, U+2215, U+FEFF, U+FFFD; -} -/* cyrillic-ext */ -@font-face { - font-family: 'Open Sans'; - font-style: normal; - font-weight: 700; - font-stretch: 100%; - font-display: swap; - src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTSKmu1aB.woff2) format('woff2'); - unicode-range: U+0460-052F, U+1C80-1C88, U+20B4, U+2DE0-2DFF, U+A640-A69F, U+FE2E-FE2F; -} -/* cyrillic */ -@font-face { - font-family: 'Open Sans'; - font-style: normal; - font-weight: 700; - font-stretch: 100%; - font-display: swap; - src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTSumu1aB.woff2) format('woff2'); - unicode-range: U+0301, U+0400-045F, U+0490-0491, U+04B0-04B1, U+2116; -} -/* greek-ext */ -@font-face { - font-family: 'Open Sans'; - font-style: normal; - font-weight: 700; - font-stretch: 100%; - font-display: swap; - src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTSOmu1aB.woff2) format('woff2'); - unicode-range: U+1F00-1FFF; -} -/* greek */ -@font-face { - font-family: 'Open Sans'; - font-style: normal; - font-weight: 700; - font-stretch: 100%; - font-display: swap; - src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTSymu1aB.woff2) format('woff2'); - unicode-range: U+0370-0377, 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url(fonts/memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0RkxhjaVQ.woff) format('woff'); } -/* latin */ @font-face { font-family: 'Open Sans'; - font-style: normal; + font-style: italic; font-weight: 700; - font-stretch: 100%; - font-display: swap; - src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTS-muw.woff2) format('woff2'); - unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA, U+02DC, U+0304, U+0308, U+0329, U+2000-206F, U+2074, U+20AC, U+2122, U+2191, U+2193, U+2212, U+2215, U+FEFF, U+FFFD; -} -/* cyrillic-ext */ -@font-face { - font-family: 'Open Sans'; - font-style: normal; - font-weight: 800; - font-stretch: 100%; - font-display: swap; - src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTSKmu1aB.woff2) format('woff2'); - unicode-range: U+0460-052F, U+1C80-1C88, U+20B4, U+2DE0-2DFF, U+A640-A69F, U+FE2E-FE2F; -} -/* cyrillic */ -@font-face { - font-family: 'Open Sans'; - font-style: normal; - font-weight: 800; - font-stretch: 100%; - font-display: swap; - src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTSumu1aB.woff2) format('woff2'); - unicode-range: U+0301, U+0400-045F, U+0490-0491, U+04B0-04B1, U+2116; -} -/* greek-ext */ -@font-face { - font-family: 'Open Sans'; - font-style: normal; - font-weight: 800; - font-stretch: 100%; + font-stretch: normal; font-display: swap; - src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTSOmu1aB.woff2) format('woff2'); - unicode-range: U+1F00-1FFF; + src: url(fonts/memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0RkyFjaVQ.woff) format('woff'); } -/* greek */ @font-face { font-family: 'Open Sans'; - font-style: normal; + font-style: italic; font-weight: 800; - font-stretch: 100%; + font-stretch: normal; font-display: swap; - src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTSymu1aB.woff2) format('woff2'); - unicode-range: U+0370-0377, U+037A-037F, U+0384-038A, U+038C, U+038E-03A1, U+03A3-03FF; + src: url(fonts/memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0Rk0ZjaVQ.woff) format('woff'); } -/* hebrew */ @font-face { font-family: 'Open Sans'; font-style: normal; - font-weight: 800; - font-stretch: 100%; + font-weight: 300; + font-stretch: normal; font-display: swap; - src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTS2mu1aB.woff2) format('woff2'); - unicode-range: U+0590-05FF, U+200C-2010, U+20AA, U+25CC, U+FB1D-FB4F; + src: url(fonts/memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgsiH0C4k.woff) format('woff'); } -/* math */ @font-face { font-family: 'Open Sans'; font-style: normal; - font-weight: 800; - font-stretch: 100%; + font-weight: 400; + font-stretch: normal; font-display: swap; - src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTVOmu1aB.woff2) format('woff2'); - unicode-range: U+0302-0303, U+0305, U+0307-0308, U+0330, U+0391-03A1, U+03A3-03A9, U+03B1-03C9, U+03D1, U+03D5-03D6, U+03F0-03F1, U+03F4-03F5, U+2034-2037, U+2057, U+20D0-20DC, U+20E1, U+20E5-20EF, U+2102, U+210A-210E, U+2110-2112, U+2115, U+2119-211D, U+2124, U+2128, U+212C-212D, 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U+1F6B9-1F6BA, U+1F6BC, U+1F6C6-1F6CF, U+1F6D3-1F6D7, U+1F6E0-1F6EA, U+1F6F0-1F6F3, U+1F6F7-1F6FC, U+1F700-1F7FF, U+1F800-1F80B, U+1F810-1F847, U+1F850-1F859, U+1F860-1F887, U+1F890-1F8AD, U+1F8B0-1F8B1, U+1F900-1F90B, U+1F93B, U+1F946, U+1F984, U+1F996, U+1F9E9, U+1FA00-1FA6F, U+1FA70-1FA7C, U+1FA80-1FA88, U+1FA90-1FABD, U+1FABF-1FAC5, U+1FACE-1FADB, U+1FAE0-1FAE8, U+1FAF0-1FAF8, U+1FB00-1FBFF; + src: url(fonts/memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgsjr0C4k.woff) format('woff'); } -/* vietnamese */ @font-face { font-family: 'Open Sans'; font-style: normal; - font-weight: 800; - font-stretch: 100%; + font-weight: 600; + font-stretch: normal; font-display: swap; - src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTSCmu1aB.woff2) format('woff2'); - unicode-range: U+0102-0103, U+0110-0111, U+0128-0129, U+0168-0169, U+01A0-01A1, U+01AF-01B0, U+0300-0301, U+0303-0304, U+0308-0309, U+0323, U+0329, U+1EA0-1EF9, U+20AB; + src: url(fonts/memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgsgH1y4k.woff) format('woff'); } -/* latin-ext */ @font-face { font-family: 'Open Sans'; font-style: normal; - font-weight: 800; - font-stretch: 100%; + font-weight: 700; + font-stretch: normal; font-display: swap; - src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTSGmu1aB.woff2) format('woff2'); - unicode-range: U+0100-02AF, U+0304, U+0308, U+0329, U+1E00-1E9F, U+1EF2-1EFF, U+2020, U+20A0-20AB, U+20AD-20C0, U+2113, U+2C60-2C7F, U+A720-A7FF; + src: url(fonts/memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgsg-1y4k.woff) format('woff'); } -/* latin */ @font-face { font-family: 'Open Sans'; font-style: normal; font-weight: 800; - font-stretch: 100%; - font-display: swap; - src: url(fonts/memvYaGs126MiZpBA-UvWbX2vVnXBbObj2OVTS-muw.woff2) format('woff2'); - unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA, U+02DC, U+0304, U+0308, U+0329, U+2000-206F, U+2074, U+20AC, U+2122, U+2191, U+2193, U+2212, U+2215, U+FEFF, U+FFFD; -} -/* cyrillic-ext */ -@font-face { - font-family: 'Source Code Pro'; - font-style: italic; - font-weight: 400; - font-display: swap; - src: url(fonts/HI_QiYsKILxRpg3hIP6sJ7fM7PqlONvZlMIXxw.woff2) format('woff2'); - unicode-range: U+0460-052F, U+1C80-1C88, U+20B4, U+2DE0-2DFF, U+A640-A69F, U+FE2E-FE2F; -} -/* cyrillic */ -@font-face { - font-family: 'Source Code Pro'; - font-style: italic; - font-weight: 400; - font-display: swap; - src: url(fonts/HI_QiYsKILxRpg3hIP6sJ7fM7PqlONvQlMIXxw.woff2) format('woff2'); - unicode-range: U+0301, U+0400-045F, U+0490-0491, U+04B0-04B1, U+2116; -} -/* greek-ext */ -@font-face { - font-family: 'Source Code Pro'; - font-style: italic; - font-weight: 400; - font-display: swap; - src: url(fonts/HI_QiYsKILxRpg3hIP6sJ7fM7PqlONvYlMIXxw.woff2) format('woff2'); - unicode-range: U+1F00-1FFF; -} -/* greek */ -@font-face { - font-family: 'Source Code Pro'; - font-style: italic; - font-weight: 400; - font-display: swap; - src: 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Cite this dataMetadata

This package was last produced using:

-
#> R version 4.3.1 (2023-06-16 ucrt)
+
#> R version 4.3.2 (2023-10-31 ucrt)
 #> Platform: x86_64-w64-mingw32/x64 (64-bit)
 #> Running under: Windows 10 x64 (build 19045)
 #> 
@@ -175,18 +175,19 @@ 

Metadata#> [1] stats4 stats graphics grDevices utils datasets methods base #> #> other attached packages: -#> [1] badger_0.2.3 gapindex_2.1.3 pkgdown_2.0.7 readr_2.1.5 magrittr_2.0.3 akgfmaps_3.5.0 terra_1.7-71 stars_0.6-4 abind_1.4-5 gstat_2.1-1 classInt_0.4-10 gapctd_2.1.2 lubridate_1.9.3 plotly_4.10.4 sf_1.0-16 interp_1.1-6 bbmle_1.0.25.1 oce_1.8-2 -#> [19] gsw_1.1-1 ggplot2_3.5.0 tidyr_1.3.1 dplyr_1.1.4 plyr_1.8.9 RODBC_1.3-23 roxygen2_7.3.1 devtools_2.4.5 usethis_2.2.3 here_1.0.1 +#> [1] badger_0.2.3 pkgdown_2.0.7 gapctd_2.1.2 lubridate_1.9.3 plotly_4.10.4 interp_1.1-6 bbmle_1.0.25.1 oce_1.8-2 gsw_1.1-1 tidyr_1.3.1 plyr_1.8.9 RODBC_1.3-23 roxygen2_7.3.1 devtools_2.4.5 usethis_2.2.3 +#> [16] here_1.0.1 akgfmaps_3.5.0 terra_1.7-71 stars_0.6-4 abind_1.4-5 sf_1.0-16 gstat_2.1-1 ggplot2_3.5.0 classInt_0.4-10 gapindex_2.2.0 dplyr_1.1.4 readr_2.1.5 magrittr_2.0.3 #> #> loaded via a namespace (and not attached): -#> [1] RColorBrewer_1.1-3 sys_3.4.2 rstudioapi_0.16.0 dlstats_0.1.7 jsonlite_1.8.8 rmarkdown_2.26 fs_1.6.3 vctrs_0.6.5 memoise_2.0.1 askpass_1.2.0 gh_1.4.1 htmltools_0.5.8 curl_5.2.1 KernSmooth_2.23-22 -#> [15] htmlwidgets_1.6.4 desc_1.4.3 httr2_1.0.1 zoo_1.8-12 cachem_1.0.8 mime_0.12 lifecycle_1.0.4 pkgconfig_2.0.3 Matrix_1.6-5 R6_2.5.1 fastmap_1.1.1 shiny_1.8.1.1 digest_0.6.35 numDeriv_2016.8-1.1 -#> [29] colorspace_2.1-0 rprojroot_2.0.4 pkgload_1.3.4 fansi_1.0.6 timechange_0.3.0 httr_1.4.7 compiler_4.3.1 proxy_0.4-27 intervals_0.15.4 remotes_2.5.0 withr_3.0.0 DBI_1.2.2 pkgbuild_1.4.4 MASS_7.3-60.0.1 -#> [43] openssl_2.1.1 rappdirs_0.3.3 sessioninfo_1.2.2 tools_4.3.1 units_0.8-5 httpuv_1.6.15 glue_1.7.0 promises_1.2.1 grid_4.3.1 generics_0.1.3 gtable_0.3.4 tzdb_0.4.0 class_7.3-22 data.table_1.15.4 -#> [57] hms_1.1.3 sp_2.1-3 xml2_1.3.6 utf8_1.2.4 pillar_1.9.0 stringr_1.5.1 yulab.utils_0.1.4 later_1.3.2 lattice_0.22-6 FNN_1.1.4 deldir_2.0-4 tidyselect_1.2.1 rvcheck_0.2.1 miniUI_0.1.1.1 -#> [71] knitr_1.45 gitcreds_0.1.2 xfun_0.43 credentials_2.0.1 stringi_1.8.3 lazyeval_0.2.2 yaml_2.3.8 evaluate_0.23 codetools_0.2-19 tibble_3.2.1 BiocManager_1.30.22 cli_3.6.2 xtable_1.8-4 munsell_0.5.1 -#> [85] spacetime_1.3-1 Rcpp_1.0.12 gert_2.0.1 bdsmatrix_1.3-7 parallel_4.3.1 ellipsis_0.3.2 profvis_0.3.8 urlchecker_1.0.1 viridisLite_0.4.2 mvtnorm_1.2-4 scales_1.3.0 xts_0.13.2 e1071_1.7-14 purrr_1.0.2 -#> [99] crayon_1.5.2 rlang_1.1.3

+#> [1] RColorBrewer_1.1-3 sys_3.4.2 rstudioapi_0.16.0 dlstats_0.1.7 jsonlite_1.8.8 rmarkdown_2.26 fs_1.6.3 vctrs_0.6.5 memoise_2.0.1 askpass_1.2.0 gh_1.4.0 janitor_2.2.0 +#> [13] htmltools_0.5.7 curl_5.2.1 KernSmooth_2.23-22 htmlwidgets_1.6.4 keyring_1.3.2 desc_1.4.3 httr2_1.0.0 zoo_1.8-12 cachem_1.0.8 mime_0.12 lifecycle_1.0.4 pkgconfig_2.0.3 +#> [25] Matrix_1.6-5 R6_2.5.1 fastmap_1.1.1 shiny_1.8.0 snakecase_0.11.1 digest_0.6.35 numDeriv_2016.8-1.1 colorspace_2.1-0 rprojroot_2.0.4 pkgload_1.3.4 fansi_1.0.6 timechange_0.3.0 +#> [37] httr_1.4.7 compiler_4.3.2 proxy_0.4-27 intervals_0.15.4 remotes_2.5.0 withr_3.0.0 DBI_1.2.2 pkgbuild_1.4.4 MASS_7.3-60 openssl_2.1.1 rappdirs_0.3.3 sessioninfo_1.2.2 +#> [49] tools_4.3.2 units_0.8-5 httpuv_1.6.14 glue_1.7.0 promises_1.2.1 grid_4.3.2 getPass_0.2-4 generics_0.1.3 gtable_0.3.4 tzdb_0.4.0 class_7.3-22 data.table_1.15.2 +#> [61] hms_1.1.3 sp_2.1-3 xml2_1.3.6 utf8_1.2.4 pillar_1.9.0 stringr_1.5.1 yulab.utils_0.1.4 later_1.3.2 lattice_0.21-9 FNN_1.1.4 deldir_2.0-4 tidyselect_1.2.1 +#> [73] rvcheck_0.2.1 miniUI_0.1.1.1 knitr_1.45 gitcreds_0.1.2 xfun_0.42 credentials_2.0.1 stringi_1.8.3 lazyeval_0.2.2 yaml_2.3.8 evaluate_0.23 codetools_0.2-19 tibble_3.2.1 +#> [85] BiocManager_1.30.22 cli_3.6.2 xtable_1.8-4 munsell_0.5.0 spacetime_1.3-1 Rcpp_1.0.12 gert_2.0.1 bdsmatrix_1.3-7 parallel_4.3.2 ellipsis_0.3.2 assertthat_0.2.1 profvis_0.3.8 +#> [97] urlchecker_1.0.1 viridisLite_0.4.2 mvtnorm_1.2-4 scales_1.3.0 xts_0.13.2 e1071_1.7-14 purrr_1.0.2 crayon_1.5.2 rlang_1.1.3

NOAA README diff --git a/docs/pkgdown.yml b/docs/pkgdown.yml index 57b6aa6..51e16f5 100644 --- a/docs/pkgdown.yml +++ b/docs/pkgdown.yml @@ -3,7 +3,7 @@ pkgdown: 2.0.7 pkgdown_sha: ~ articles: example-script: example-script.html -last_built: 2024-04-04T23:25Z +last_built: 2024-04-06T23:12Z urls: reference: https://afsc-gap-products.github.io/GAPsurvey/reference article: https://afsc-gap-products.github.io/GAPsurvey/articles diff --git a/docs/reference/2021_06_13_0003.cnv b/docs/reference/2021_06_13_0003.cnv index 6e5974d..92501cf 100644 --- a/docs/reference/2021_06_13_0003.cnv +++ b/docs/reference/2021_06_13_0003.cnv @@ -455,8 +455,8 @@ # interval = seconds: 0.25 # start_time = Jun 13 2021 12:13:29 [Instrument's time stamp, header] # bad_flag = -9.990e-29 -# gapctd_date = Apr 04 2024 16:25:50, GAPSurvey 2024.4.4 -# gapctd_in = C:/Users/emily.markowitz/AppData/Local/R/win-library/4.3/GAPsurvey/exdata/convert_ctd_btd/2021_06_13_0003.hex +# gapctd_date = Apr 06 2024 16:12:14, GAPSurvey 2024.4.4 +# gapctd_in = C:/Users/sean.rohan/AppData/Local/Temp/RtmpWSLcfB/temp_libpath15cc58f34baf/GAPsurvey/exdata/convert_ctd_btd/2021_06_13_0003.hex # file_type = ascii *END* 0.000 5.5861 -0.251 0.000139 0.0 diff --git a/docs/reference/SBE19plus_01908106_2023_06_18_0001.cnv b/docs/reference/SBE19plus_01908106_2023_06_18_0001.cnv index bed4462..4abeb71 100644 --- a/docs/reference/SBE19plus_01908106_2023_06_18_0001.cnv +++ b/docs/reference/SBE19plus_01908106_2023_06_18_0001.cnv @@ -501,8 +501,8 @@ # interval = seconds: 0.25 # start_time = Jun 18 2023 07:13:35 [Instrument's time stamp, header] # bad_flag = -9.990e-29 -# gapctd_date = Apr 04 2024 16:25:56, GAPSurvey 2024.4.4 -# gapctd_in = C:/Users/emily.markowitz/AppData/Local/R/win-library/4.3/GAPsurvey/exdata/convert_ctd_btd/SBE19plus_01908106_2023_06_18_0001.hex +# gapctd_date = Apr 06 2024 16:12:17, GAPSurvey 2024.4.4 +# gapctd_in = C:/Users/sean.rohan/AppData/Local/Temp/RtmpWSLcfB/temp_libpath15cc58f34baf/GAPsurvey/exdata/convert_ctd_btd/SBE19plus_01908106_2023_06_18_0001.hex # file_type = ascii *END* 0.000 3.1821 -0.051 0.000776 3.349355 6.875 0.0 diff --git a/docs/reference/convert_ctd_btd.html b/docs/reference/convert_ctd_btd.html index 33d2fc7..856fa3b 100644 --- a/docs/reference/convert_ctd_btd.html +++ b/docs/reference/convert_ctd_btd.html @@ -184,8 +184,10 @@

Examples#> xmlcon_to_df: Skpping ph. Sensor calibration parameters not detected in xmlcon file. #> hex_to_cnv: 5 data channels detected (time_elapsed, temperature, pressure, conductivity, flag) #> hex_to_cnv: Writing data to cnv. -#> convert_ctd_btd: Intermediate data file (.cnv) saved to Z:/Projects/GAPsurvey_general/GAPsurvey/docs/reference/2021_06_13_0003.cnv -#> Baththermic data (.BTD) and header (.BTD) files written to: ./ +#> convert_ctd_btd: Intermediate data file (.cnv) saved to C:/Users/sean.rohan/Work/afsc/package_testing/GAPsurvey/docs/reference/2021_06_13_0003.cnv +#> Baththermic data (.BTD) and header (.BTD) files written to: +#> .//HAUL0107_new.BTD +#> .//HAUL0107_new.BTH # CTD with DO and pH sensors @@ -203,8 +205,10 @@

Examples SERIAL_NUMBER = 8106) #> hex_to_cnv: 7 data channels detected (time_elapsed, temperature, pressure, conductivity, oxygen_voltage, ph, flag) #> hex_to_cnv: Writing data to cnv. -#> convert_ctd_btd: Intermediate data file (.cnv) saved to Z:/Projects/GAPsurvey_general/GAPsurvey/docs/reference/SBE19plus_01908106_2023_06_18_0001.cnv -#> Baththermic data (.BTD) and header (.BTD) files written to: ./ +#> convert_ctd_btd: Intermediate data file (.cnv) saved to C:/Users/sean.rohan/Work/afsc/package_testing/GAPsurvey/docs/reference/SBE19plus_01908106_2023_06_18_0001.cnv +#> Baththermic data (.BTD) and header (.BTD) files written to: +#> .//HAUL0097_new.BTD +#> .//HAUL0097_new.BTH

diff --git a/docs/reference/convert_log_gps.html b/docs/reference/convert_log_gps.html index c450767..569de4e 100644 --- a/docs/reference/convert_log_gps.html +++ b/docs/reference/convert_log_gps.html @@ -173,7 +173,7 @@

DetailsExamples

readLines(system.file("exdata/convert_log_gps/06062017.log",
   package = "GAPsurvey"))[1:5] # input file
-#> Warning: incomplete final line found on 'C:/Users/emily.markowitz/AppData/Local/R/win-library/4.3/GAPsurvey/exdata/convert_log_gps/06062017.log'
+#> Warning: incomplete final line found on 'C:/Users/sean.rohan/AppData/Local/Temp/RtmpWSLcfB/temp_libpath15cc58f34baf/GAPsurvey/exdata/convert_log_gps/06062017.log'
 #> [1] "$GPRMC,235958.000,A,5814.4411,N,15934.8091,W,9.45,11.19,050617,,,D*4E"        
 #> [2] "$SDDBS,76.71,f,23.38,M,12.79,F"                                               
 #> [3] "$GPGGA,235959.000,5814.4436,N,15934.8081,W,2,08,1.1,10.9,M,16.2,M,2.0,0000*53"
@@ -188,7 +188,7 @@ 

Examples package = "GAPsurvey"), path_out = getwd(), filename_add = "newlog") -#> Your new .gps files are saved to Z:/Projects/GAPsurvey_general/GAPsurvey/docs/reference/HAUL0003_newlog.gps +#> Your new .gps files are saved to C:/Users/sean.rohan/Work/afsc/package_testing/GAPsurvey/docs/reference/HAUL0003_newlog.gps readLines(system.file("exdata/convert_log_gps/HAUL0003_newlog.gps", package = "GAPsurvey"))[1:5] # output file #> [1] "94,201901,3,06/06/2017 15:59:58,5814.4411,-15934.8091" @@ -210,7 +210,7 @@

Examples package = "GAPsurvey"), path_out = getwd(), filename_add = "newlog") -#> Your new .gps files are saved to Z:/Projects/GAPsurvey_general/GAPsurvey/docs/reference/HAUL0037_newlog.gps +#> Your new .gps files are saved to C:/Users/sean.rohan/Work/afsc/package_testing/GAPsurvey/docs/reference/HAUL0037_newlog.gps readLines(system.file("exdata/convert_log_gps/Haul0037_newlog.gps", package = "GAPsurvey"))[1:5] # output file #> [1] "94,202101,37,06/07/2021 08:04:00,5737.6868,-16401.4024" diff --git a/docs/reference/convert_ted_btd.html b/docs/reference/convert_ted_btd.html index 638ead0..d09135c 100644 --- a/docs/reference/convert_ted_btd.html +++ b/docs/reference/convert_ted_btd.html @@ -180,7 +180,7 @@

Examples path_in = system.file("exdata/convert_bvdr_btd/", package = "GAPsurvey"), path_out = getwd(), filename_add = "newted") -#> Your new Z:/Projects/GAPsurvey_general/GAPsurvey/docs/reference/HAUL0003_newted .BTD and .BTH files are saved. +#> Your new C:/Users/sean.rohan/Work/afsc/package_testing/GAPsurvey/docs/reference/HAUL0003_newted .BTD and .BTH files are saved. # output files readLines(system.file("exdata/convert_bvdr_btd/HAUL0003_newted.BTD", package = "GAPsurvey"))[1:5] diff --git a/docs/reference/get_sunrise_sunset.html b/docs/reference/get_sunrise_sunset.html index 5e7e9cd..22475a2 100644 --- a/docs/reference/get_sunrise_sunset.html +++ b/docs/reference/get_sunrise_sunset.html @@ -142,8 +142,8 @@

Examples latitude = 63.3, longitude = -170.5) #> Using latitude and longitude to calcualte sunrise and sunset. -#> Sunrise is at 2024-04-04 08:29:00 AKDT -#> Sunset is at 2024-04-03 22:20:00 AKDT +#> Sunrise is at 2024-04-06 08:22:00 AKDT +#> Sunset is at 2024-04-05 22:25:00 AKDT # Find times based on lat/lon for today's date, where date is a character get_sunrise_sunset(chosen_date = "2023-06-05", @@ -165,15 +165,15 @@

Examples survey = "EBS", station = "I-13") #> Using survey station (EBS I-13) centroid location information (lat = 57.667, lon = -160.23) to calculate sunrise and sunset. -#> Sunrise is at 2024-04-04 07:59:00 AKDT -#> Sunset is at 2024-04-03 21:27:00 AKDT +#> Sunrise is at 2024-04-06 07:54:00 AKDT +#> Sunset is at 2024-04-05 21:32:00 AKDT # Find times based on a survey (GOA) station's recorded lat/lon for today's date get_sunrise_sunset(chosen_date = Sys.Date(), survey = "GOA", station = "323-176") #> Using survey station (GOA 323-176) centroid location information (lat = 60.052, lon = -143.311) to calculate sunrise and sunset. -#> Sunrise is at 2024-04-04 06:47:00 AKDT -#> Sunset is at 2024-04-03 20:24:00 AKDT +#> Sunrise is at 2024-04-06 06:41:00 AKDT +#> Sunset is at 2024-04-05 20:29:00 AKDT # Find times based on a survey (AI) station's recorded lat/lon for today's date get_sunrise_sunset(chosen_date = "2023-06-10", survey = "AI", diff --git a/docs/reference/public_data.html b/docs/reference/public_data.html index 41c5e1a..6793de3 100644 --- a/docs/reference/public_data.html +++ b/docs/reference/public_data.html @@ -1,5 +1,5 @@ -Presence-only public data from FOSS — public_data • GAPsurveyPresence-only public data from FOSS — public_data • GAPsurvey @@ -82,7 +82,7 @@

-

These datasets, FOSS_CATCH, FOSS_CPUE_PRESONLY, FOSS_HAUL, and FOSS_SPECIES, when full joined by the HAULJOIN variable, includes zero-filled (presence and absence) observations and catch-per-unit-effort (CPUE) estimates for all identified species at for index stations. These tables were created by the Resource Assessment and Conservation Engineering Division (RACE) Groundfish Assessment Program (GAP) of the Alaska Fisheries Science Center (AFSC). There are legal restrictions on access to the data. These data are not intended for public dissemination and should not be shared without the explicit written consent of the data managers and owners (NOAA Fisheries). The GitHub repository for the scripts that created this code can be found at https://github.com/afsc-gap-products/gap_products. For more information about codes used in the tables, please refer to the survey code books (https://www.fisheries.noaa.gov/resource/document/groundfish-survey-species-code-manual-and-data-codes-manual). These data were last updated March 04, 2024.

+

Presence-only public data from FOSS

@@ -116,42 +116,6 @@

Format<
cruisejoin

Cruise ID. Unique integer ID assigned to each survey, vessel, and year combination.

-
date_time
-

Date and time. The date (MM/DD/YYYY) and time (HH:MM) of the haul. All dates and times are in Alaska time (AKDT) of Anchorage, AK, USA (UTC/GMT -8 hours).

- -
depth_m
-

Depth (m). Bottom depth (meters).

- -
distance_fished_km
-

Distance fished (km). Distance the net fished (thousands of kilometers).

- -
duration_hr
-

Tow duration (decimal hr). This is the elapsed time between start and end of a haul (decimal hours).

- -
haul
-

Haul number. This number uniquely identifies a sampling event (haul) within a cruise. It is a sequential number, in chronological order of occurrence.

- -
hauljoin
-

Haul ID. This is a unique numeric identifier assigned to each (vessel, cruise, and haul) combination.

- -
id_rank
-

Lowest taxonomic rank. Lowest taxonomic rank of a given species entry.

- -
itis
-

Integrated taxonomic information system (ITIS) serial number. Species code as identified in the Integrated Taxonomic Information System (https://itis.gov/).

- -
latitude_dd_end
-

End latitude (decimal degrees). Latitude (one hundred thousandth of a decimal degree) of the end of the haul.

- -
latitude_dd_start
-

Start latitude (decimal degrees). Latitude (one hundred thousandth of a decimal degree) of the start of the haul.

- -
longitude_dd_end
-

End longitude (decimal degrees). Longitude (one hundred thousandth of a decimal degree) of the end of the haul.

- -
longitude_dd_start
-

Start longitude (decimal degrees). Longitude (one hundred thousandth of a decimal degree) of the start of the haul.

-
net_height_m

Net height (m). Measured or estimated distance (meters) between footrope and headrope of the trawl.

@@ -183,7 +147,7 @@

Format<

Survey name. Name and description of survey. The column 'survey' is associated with the 'srvy' and 'survey_definition_id' columns.

survey_definition_id
-

Survey ID. The survey definition ID key code uniquely identifies a survey/survey design. The column 'survey_definition_id' is associated with the 'srvy' and 'survey' columns. For a complete list of surveys, review the [code books](https://www.fisheries.noaa.gov/resource/document/groundfish-survey-species-code-manual-and-data-codes-manual).

+

Survey ID. The survey definition ID key code uniquely identifies a survey/survey design. Integer code that uniquely identifies survey. Full list of survey definition IDs are in RACE_DATA.SURVEY_DEFINITIONS. IDs used in GAP_PRODUCTS are: 47 (Gulf of Alaska); 52 (Aleutian Islands); 78 (Bering Sea Slope); 98 (Eastern Bering Sea Shelf); 143 (Northern Bering Sea Shelf). The column 'survey_definition_id' is associated with the 'srvy' and 'survey' columns. For a complete list of surveys, review the [code books](https://www.fisheries.noaa.gov/resource/document/groundfish-survey-species-code-manual-and-data-codes-manual).

taxon_confidence

Taxon confidence rating. Confidence in the ability of the survey team to correctly identify the taxon to the specified level, based solely on identification skill (e.g., not likelihood of a taxon being caught at that station on a location-by-location basis). Quality codes follow: **'High'**: High confidence and consistency. Taxonomy is stable and reliable at this level, and field identification characteristics are well known and reliable. **'Moderate'**: Moderate confidence. Taxonomy may be questionable at this level, or field identification characteristics may be variable and difficult to assess consistently. **'Low'**: Low confidence. Taxonomy is incompletely known, or reliable field identification characteristics are unknown. Documentation: [Species identification confidence in the eastern Bering Sea shelf survey (1982-2008)](http://apps-afsc.fisheries.noaa.gov/Publications/ProcRpt/PR2009-04.pdf), [Species identification confidence in the eastern Bering Sea slope survey (1976-2010)](http://apps-afsc.fisheries.noaa.gov/Publications/ProcRpt/PR2014-05.pdf), and [Species identification confidence in the Gulf of Alaska and Aleutian Islands surveys (1980-2011)](http://apps-afsc.fisheries.noaa.gov/Publications/ProcRpt/PR2014-01.pdf).

@@ -202,6 +166,42 @@

Format<
year

Survey year. Year the observation (survey) was collected.

+ +
date_time
+

Date and time. The date (MM/DD/YYYY) and time (HH:MM) of the haul. All dates and times are in Alaska time (AKDT) of Anchorage, AK, USA (UTC/GMT -8 hours).

+ +
depth_m
+

Depth (m). Bottom depth (meters).

+ +
distance_fished_km
+

Distance fished (km). Distance the net fished (thousands of kilometers).

+ +
duration_hr
+

Tow duration (decimal hr). This is the elapsed time between start and end of a haul (decimal hours).

+ +
haul
+

Haul number. This number uniquely identifies a sampling event (haul) within a cruise. It is a sequential number, in chronological order of occurrence.

+ +
hauljoin
+

Haul ID. This is a unique numeric identifier assigned to each (vessel, cruise, and haul) combination.

+ +
id_rank
+

Lowest taxonomic rank. Lowest taxonomic rank of a given species entry.

+ +
itis
+

Integrated taxonomic information system (ITIS) serial number. Species code as identified in the Integrated Taxonomic Information System (https://itis.gov/).

+ +
latitude_dd_end
+

End latitude (decimal degrees). Latitude (one hundred thousandth of a decimal degree) of the end of the haul.

+ +
latitude_dd_start
+

Start latitude (decimal degrees). Latitude (one hundred thousandth of a decimal degree) of the start of the haul.

+ +
longitude_dd_end
+

End longitude (decimal degrees). Longitude (one hundred thousandth of a decimal degree) of the end of the haul.

+ +
longitude_dd_start
+

Start longitude (decimal degrees). Longitude (one hundred thousandth of a decimal degree) of the start of the haul.

#'

diff --git a/docs/reference/station_coords.html b/docs/reference/station_coords.html index 44c0f6e..04088bf 100644 --- a/docs/reference/station_coords.html +++ b/docs/reference/station_coords.html @@ -92,17 +92,17 @@

Usage

Format

-

A data frame with 31594 observations on the following 4 variables.

latitude_dd
-

Latitude (decimal degrees). Latitude (one hundred thousandth of a decimal degree).

- -
longitude_dd
-

Longitude (decimal degrees). Longitude (one hundred thousandth of a decimal degree).

- -
srvy
+

A data frame with 31594 observations on the following 4 variables.

srvy

Survey abbreviation. Abbreviated survey names. The column 'srvy' is associated with the 'survey' and 'survey_definition_id' columns. Northern Bering Sea (NBS), Southeastern Bering Sea (EBS), Bering Sea Slope (BSS), Gulf of Alaska (GOA), Aleutian Islands (AI).

station

Station ID. Alpha-numeric designation for the station established in the design of a survey.

+ +
latitude_dd
+

Latitude (decimal degrees). Latitude (one hundred thousandth of a decimal degree).

+ +
longitude_dd
+

Longitude (decimal degrees). Longitude (one hundred thousandth of a decimal degree).

#'
diff --git a/docs/search.json b/docs/search.json index 164a920..c266efb 100644 --- a/docs/search.json +++ b/docs/search.json @@ -1 +1 @@ -[{"path":"https://afsc-gap-products.github.io/GAPsurvey/articles/example-script.html","id":"example-script-using-r-package-gapsurvey","dir":"Articles","previous_headings":"","what":"Example Script Using R Package GAPsurvey","title":"Example got-to script","text":"Last updated April 2024 Open Rstudio script example_script.R. already located desktop, otherwise find using link .","code":"system.file(\"r/example_script.R\", package = \"GAPsurvey\") #> [1] \"C:/Users/emily.markowitz/AppData/Local/R/win-library/4.3/GAPsurvey/r/example_script.R\""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/articles/example-script.html","id":"install-r-package","dir":"Articles","previous_headings":"Example Script Using R Package GAPsurvey","what":"Install R package","title":"Example got-to script","text":"Rerun new version package install. user may install GitHub: install local file .tar.gz:","code":"devtools::install_github(\"afsc-gap-products/GAPsurvey\") # example, the user may have a different path install.packages('C:/Users/User/Downloads/GAPsurvey_2023.04.04.tar.gz', repos=NULL, type='source')"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/articles/example-script.html","id":"load-libraries","dir":"Articles","previous_headings":"Example Script Using R Package GAPsurvey","what":"Load libraries","title":"Example got-to script","text":"Now can use functions GAPSurvey!","code":"library(GAPsurvey)"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/articles/example-script.html","id":"what-have-we-historically-caught-at-this-station","dir":"Articles","previous_headings":"Example Script Using R Package GAPsurvey","what":"What have we historically caught at this station?","title":"Example got-to script","text":"Learn find examples using…","code":"?get_catch_haul_history get_catch_haul_history( years = 2021:2023, # optional; if you only want to see a specific year, not the last 10 species_codes = c(21720, 21740), # optional; pacific cod and walleye pollock ONLY survey = \"EBS\", # for example station = \"I-13\") # for example #> $catch #> $catch$`2021` #> station scientific_name common_name count weight_kg cpue_kgkm2 #> 5 I-13 Gadus chalcogrammus walleye pollock 793 550.359 11529.7821 #> 6 I-13 Gadus macrocephalus Pacific cod 91 31.140 652.3695 #> cpue_nokm2 #> 5 16613.01 #> 6 1906.41 #> #> $catch$`2022` #> station scientific_name common_name count weight_kg cpue_kgkm2 #> 3 I-13 Gadus chalcogrammus walleye pollock 135 140.138 3252.886 #> 4 I-13 Gadus macrocephalus Pacific cod 173 104.016 2414.421 #> cpue_nokm2 #> 3 3133.623 #> 4 4015.679 #> #> $catch$`2023` #> station scientific_name common_name count weight_kg cpue_kgkm2 #> 1 I-13 Gadus chalcogrammus walleye pollock 70 41.744 898.023 #> 2 I-13 Gadus macrocephalus Pacific cod 31 9.190 197.701 #> cpue_nokm2 #> 1 1505.8837 #> 2 666.8913 #> #> #> $catch_means #> scientific_name common_name station count weight_kg cpue_kgkm2 #> 1 Gadus chalcogrammus walleye pollock I-13 332.7 244.08 5226.90 #> 2 Gadus macrocephalus Pacific cod I-13 98.3 48.12 1088.16 #> cpue_nokm2 Freq #> 1 7084.17 3 #> 2 2196.33 3 #> #> $haul #> year station haul stratum vessel_name date_time #> 1 2021 I-13 7 31 ALASKA KNIGHT 2021-06-02 12:05:29 #> 2 2022 I-13 12 31 VESTERAALEN 2022-06-01 16:20:20 #> 3 2023 I-13 16 31 NORTHWEST EXPLORER 2023-05-30 13:43:02 #> latitude_dd_start longitude_dd_start bottom_temperature_c #> 1 57.65493 -160.2535 4.4 #> 2 57.65502 -160.2754 3.6 #> 3 57.66505 -160.2725 3.4 #> surface_temperature_c depth_m distance_fished_km net_width_m net_height_m #> 1 4.7 55 2.954 16.159 1.794 #> 2 7.6 54 2.854 15.095 2.566 #> 3 3.4 55 2.879 16.146 2.175 #> area_swept_km2 duration_hr total_weight_kg #> 1 0.047734 0.522 1220 #> 2 0.043081 0.531 1190 #> 3 0.046484 0.516 812"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/articles/example-script.html","id":"what-time-is-sunrise-and-sunset","dir":"Articles","previous_headings":"Example Script Using R Package GAPsurvey","what":"What time is sunrise and sunset?","title":"Example got-to script","text":"Learn find examples using…","code":"?get_sunrise_sunset get_sunrise_sunset(chosen_date = \"2024-06-10\", survey = \"AI\", station = \"33-47\") #> Using survey station (AI 33-47) centroid location information (lat = 53.013, lon = 172.407) to calculate sunrise and sunset. #> Sunrise is at 2024-06-10 08:04:00 AKDT #> Sunset is at 2024-06-10 00:54:00 AKDT get_sunrise_sunset(chosen_date = Sys.Date(), survey = \"GOA\", station = \"323-176\") #> Using survey station (GOA 323-176) centroid location information (lat = 60.052, lon = -143.311) to calculate sunrise and sunset. #> Sunrise is at 2024-04-04 06:47:00 AKDT #> Sunset is at 2024-04-03 20:24:00 AKDT get_sunrise_sunset(chosen_date = \"2024-08-04\", survey = \"EBS\", station = \"P-31\") #> Using survey station (EBS P-31) centroid location information (lat = 60, lon = -177.356) to calculate sunrise and sunset. #> Sunrise is at 2024-08-04 07:38:00 AKDT #> Sunset is at 2024-08-04 00:12:00 AKDT get_sunrise_sunset(chosen_date = \"2024-06-04\", survey = \"NBS\", station = \"ZZ-01\") #> Using survey station (NBS ZZ-01) centroid location information (lat = 63.334, lon = -168.244) to calculate sunrise and sunset. #> Sunrise is at 2024-06-04 05:14:00 AKDT #> Sunset is at 2024-06-04 01:08:00 AKDT get_sunrise_sunset(chosen_date = \"2024-08-04\", survey = NULL, latitude = 60, longitude = -162) #> Using latitude and longitude to calcualte sunrise and sunset. #> Sunrise is at 2024-08-04 06:37:00 AKDT #> Sunset is at 2024-08-03 23:10:00 AKDT"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/articles/example-script.html","id":"convert-ctd-data-to-btd-as-a-backup-for-sbe39-aka-the-bt","dir":"Articles","previous_headings":"Example Script Using R Package GAPsurvey","what":"Convert CTD data to BTD as a backup for SBE39 (aka ‘the BT’)","title":"Example got-to script","text":"","code":"?convert_ctd_btd convert_ctd_btd( filepath_hex = system.file(paste0(\"exdata/convert_ctd_btd/\", \"SBE19plus_01908106_2023_06_18_0001.hex\"), package = \"GAPsurvey\"), filepath_xmlcon = system.file(paste0(\"exdata/convert_ctd_btd/\", \"SBE19plusV2_8106_ph_DO_leg2.xmlcon\"), package = \"GAPsurvey\"), VESSEL = 162, CRUISE = 202301, HAUL = 97, latitude = 59.01693, # Approximate - for depth estimation MODEL_NUMBER = \"\", VERSION_NUMBER = \"\", SERIAL_NUMBER = 8106)"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Emily Markowitz. Author, maintainer. Sean Rohan. Author. Margaret Siple. Author. Liz Dawson. Author.","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Markowitz E, Rohan S, Siple M, Dawson L (2024). GAPsurvey: Provides -sea data management tools RACE GAP surveys. R package version 2024.04.04, https://github.com/afsc-gap-products/GAPsurvey.","code":"@Manual{, title = {GAPsurvey: Provides at-sea data management tools for RACE GAP surveys}, author = {Emily Markowitz and Sean Rohan and Margaret Siple and Liz Dawson}, year = {2024}, note = {R package version 2024.04.04}, url = {https://github.com/afsc-gap-products/GAPsurvey}, }"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/index.html","id":"gapsurvey-","dir":"","previous_headings":"","what":"Provides at-sea data management tools for RACE GAP surveys","title":"Provides at-sea data management tools for RACE GAP surveys","text":"code always development","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/index.html","id":"this-code-is-primarally-maintained-by","dir":"","previous_headings":"","what":"This code is primarally maintained by:","title":"Provides at-sea data management tools for RACE GAP surveys","text":"Emily Markowitz (Emily.Markowitz noaa.gov; @EmilyMarkowitz-NOAA) Sean Rohan (Sean.Rohan noaa.gov; @MargaretSiple-NOAA) Megsie Siple (Margaret.Siple noaa.gov; @MargaretSiple-NOAA) Liz Dawson (Liz.Dawson noaa.gov; @liz-dawson-NOAA) Alaska Fisheries Science Center, National Marine Fisheries Service, National Oceanic Atmospheric Administration, Seattle, WA 98195","code":""},{"path":[]},{"path":"https://afsc-gap-products.github.io/GAPsurvey/index.html","id":"make-sure-the-necessary-packages-are-installed","dir":"","previous_headings":"","what":"Make sure the necessary packages are installed","title":"Provides at-sea data management tools for RACE GAP surveys","text":"","code":"library(devtools) devtools::install_github(\"afsc-gap-products/GAPsurvey\") # Or remotes::install_github(\"afsc-gap-products/GAPsurvey@main\") library(GAPsurvey)"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/index.html","id":"cite-this-data","dir":"","previous_headings":"","what":"Cite this data","title":"Provides at-sea data management tools for RACE GAP surveys","text":"Use bibtext citations citing package created maintained repo. Add “note = {Accessed: mm/dd/yyyy}” append day data accessed.","code":"#> @misc{GAPsurvey, #> author = {{NOAA Fisheries Alaska Fisheries Science Center, Goundfish Assessment Program}}, #> year = {2024}, #> title = {AFSC Goundfish Assessment Program at-Sea data management tools for RACE GAP surveys}, #> howpublished = {https://www.fisheries.noaa.gov/alaska/science-data/groundfish-assessment-program-bottom-trawl-surveys}, #> publisher = {{U.S. Dep. Commer.}}, #> copyright = {Public Domain} #> }"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/index.html","id":"metadata","dir":"","previous_headings":"","what":"Metadata","title":"Provides at-sea data management tools for RACE GAP surveys","text":"package last produced using:","code":"#> R version 4.3.1 (2023-06-16 ucrt) #> Platform: x86_64-w64-mingw32/x64 (64-bit) #> Running under: Windows 10 x64 (build 19045) #> #> Matrix products: default #> #> #> locale: #> [1] LC_COLLATE=English_United States.utf8 LC_CTYPE=English_United States.utf8 LC_MONETARY=English_United States.utf8 LC_NUMERIC=C LC_TIME=English_United States.utf8 #> #> time zone: America/Los_Angeles #> tzcode source: internal #> #> attached base packages: #> [1] stats4 stats graphics grDevices utils datasets methods base #> #> other attached packages: #> [1] badger_0.2.3 gapindex_2.1.3 pkgdown_2.0.7 readr_2.1.5 magrittr_2.0.3 akgfmaps_3.5.0 terra_1.7-71 stars_0.6-4 abind_1.4-5 gstat_2.1-1 classInt_0.4-10 gapctd_2.1.2 lubridate_1.9.3 plotly_4.10.4 sf_1.0-16 interp_1.1-6 bbmle_1.0.25.1 oce_1.8-2 #> [19] gsw_1.1-1 ggplot2_3.5.0 tidyr_1.3.1 dplyr_1.1.4 plyr_1.8.9 RODBC_1.3-23 roxygen2_7.3.1 devtools_2.4.5 usethis_2.2.3 here_1.0.1 #> #> loaded via a namespace (and not attached): #> [1] RColorBrewer_1.1-3 sys_3.4.2 rstudioapi_0.16.0 dlstats_0.1.7 jsonlite_1.8.8 rmarkdown_2.26 fs_1.6.3 vctrs_0.6.5 memoise_2.0.1 askpass_1.2.0 gh_1.4.1 htmltools_0.5.8 curl_5.2.1 KernSmooth_2.23-22 #> [15] htmlwidgets_1.6.4 desc_1.4.3 httr2_1.0.1 zoo_1.8-12 cachem_1.0.8 mime_0.12 lifecycle_1.0.4 pkgconfig_2.0.3 Matrix_1.6-5 R6_2.5.1 fastmap_1.1.1 shiny_1.8.1.1 digest_0.6.35 numDeriv_2016.8-1.1 #> [29] colorspace_2.1-0 rprojroot_2.0.4 pkgload_1.3.4 fansi_1.0.6 timechange_0.3.0 httr_1.4.7 compiler_4.3.1 proxy_0.4-27 intervals_0.15.4 remotes_2.5.0 withr_3.0.0 DBI_1.2.2 pkgbuild_1.4.4 MASS_7.3-60.0.1 #> [43] openssl_2.1.1 rappdirs_0.3.3 sessioninfo_1.2.2 tools_4.3.1 units_0.8-5 httpuv_1.6.15 glue_1.7.0 promises_1.2.1 grid_4.3.1 generics_0.1.3 gtable_0.3.4 tzdb_0.4.0 class_7.3-22 data.table_1.15.4 #> [57] hms_1.1.3 sp_2.1-3 xml2_1.3.6 utf8_1.2.4 pillar_1.9.0 stringr_1.5.1 yulab.utils_0.1.4 later_1.3.2 lattice_0.22-6 FNN_1.1.4 deldir_2.0-4 tidyselect_1.2.1 rvcheck_0.2.1 miniUI_0.1.1.1 #> [71] knitr_1.45 gitcreds_0.1.2 xfun_0.43 credentials_2.0.1 stringi_1.8.3 lazyeval_0.2.2 yaml_2.3.8 evaluate_0.23 codetools_0.2-19 tibble_3.2.1 BiocManager_1.30.22 cli_3.6.2 xtable_1.8-4 munsell_0.5.1 #> [85] spacetime_1.3-1 Rcpp_1.0.12 gert_2.0.1 bdsmatrix_1.3-7 parallel_4.3.1 ellipsis_0.3.2 profvis_0.3.8 urlchecker_1.0.1 viridisLite_0.4.2 mvtnorm_1.2-4 scales_1.3.0 xts_0.13.2 e1071_1.7-14 purrr_1.0.2 #> [99] crayon_1.5.2 rlang_1.1.3"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/index.html","id":"noaa-readme","dir":"","previous_headings":"","what":"NOAA README","title":"Provides at-sea data management tools for RACE GAP surveys","text":"repository scientific product official communication National Oceanic Atmospheric Administration, United States Department Commerce. NOAA GitHub project code provided ‘’ basis user assumes responsibility use. claims Department Commerce Department Commerce bureaus stemming use GitHub project governed applicable Federal law. reference specific commercial products, processes, services service mark, trademark, manufacturer, otherwise, constitute imply endorsement, recommendation favoring Department Commerce. Department Commerce seal logo, seal logo DOC bureau, shall used manner imply endorsement commercial product activity DOC United States Government.","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/index.html","id":"license","dir":"","previous_headings":"","what":"License","title":"Provides at-sea data management tools for RACE GAP surveys","text":"Software code created U.S. Government employees subject copyright United States (17 U.S.C. §105). United States/Department Commerce reserve rights seek obtain copyright protection countries United States Software authored entirety Department Commerce. end, Department Commerce hereby grants Recipient royalty-free, nonexclusive license use, copy, create derivative works Software outside United States. U.S. Department Commerce | National Oceanographic Atmospheric Administration | NOAA Fisheries","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/calc_net_spread.html","id":null,"dir":"Reference","previous_headings":"","what":"Calculate Net Spread for tows missing net width using a glm. — calc_net_spread","title":"Calculate Net Spread for tows missing net width using a glm. — calc_net_spread","text":"Marport Deep Sea Technologies Inc. net mensuration system used deployment tow record net spread net height. Net width measured horizontal distance two sensors attached immediately forward junction upper breastline dandyline, net height measured headrope center seafloor. custom-made AFSC bottom contact sensor (accelerometer) attached center footrope used determine tow duration based footrope contact seafloor. Mean calc_net_spread values estimating area swept tow duration calculated according methods described Lauth Kotwicki (2014).","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/calc_net_spread.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calculate Net Spread for tows missing net width using a glm. — calc_net_spread","text":"","code":"calc_net_spread(dat)"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/calc_net_spread.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calculate Net Spread for tows missing net width using a glm. — calc_net_spread","text":"dat data.frame. can data GIDES race_data.hauls, including columns: WIRE_OUT, NET_HEIGHT, NET_SPREAD","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/calc_net_spread.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Calculate Net Spread for tows missing net width using a glm. — calc_net_spread","text":"list equations","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/calc_net_spread.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Calculate Net Spread for tows missing net width using a glm. — calc_net_spread","text":"race_data, manifest ... net_mensuration_code = Net Mensuration Method 0* Unidentified method. make racebase.haul$net_mesured = \"N\". 1 Scanmar net mensuration - use, historical 2 NetMind net mensuration - use, historical 3 Furuno net mensuration - use, historical 4* Estimated hauls - missing net spread, spread hieght. make racebase.haul$net_mesured = \"N\". Estimated using GLM 5* Estimated warp angle - hopefully, come used 6 Marport net mensuration - , indicates raw data 7* Marport sequential outlier rejection, smoothed mean, adjusted MKII offset (see AFSC Proc. Report Lauth & Kotwicki 2014). make racebase.haul$net_mesured = \"Y\".","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/calc_net_spread.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Calculate Net Spread for tows missing net width using a glm. — calc_net_spread","text":"","code":"# Here is an example using 202101 Alaska Night Data from race_data.hauls: path <- system.file(\"exdata/calc_net_spread/VESTY202101_RACE_DATA.HAULS.csv\", package = \"GAPsurvey\") dat <- read.csv(file=path, header=TRUE, sep=\",\", stringsAsFactors = FALSE) dat <- dat[dat$PERFORMANCE >= 0 & dat$HAUL_TYPE == 3,] dat[dat$NET_SPREAD_METHOD != 7, \"NET_SPREAD\"] <- NA # a normal net width dat[dat$NET_HEIGHT_METHOD != 6, \"NET_HEIGHT\"] <- NA # a normal net height calc_net_spread(dat) #> $actions #> method_col method_code n #> 1 NET_SPREAD_METHOD 7 161 #> 2 NET_HEIGHT_METHOD 4 5 #> 3 NET_SPREAD_METHOD 4 27 #> desc #> 1 There were 161 hauls successfully completed where the Marport sensor properly caclulated net mensuration using sequential outlier rejection, smoothed mean, and MKII offset adjustments (see AFSC Proc. Report Lauth & Kotwicki 2014). #> 2 There were 5 missing net height values estimated by averaging the net height of tows with the same wire out scope. #> 3 w ~ 20.835 - 559.975/s - 0.729 * h: For 27 hauls, the net width was estimated using a generalized linear model. The both predictor variables and their interaction were significant (P < 0.001) #> #> $glm_summary #> est0 se tvalue prob var #> (Intercept) 20.8345889 0.3579184 58.210439 1.179885e-108 (Intercept) #> INVSCOPE -559.9746315 38.3797512 -14.590366 4.416356e-31 INVSCOPE #> NET_HEIGHT -0.7289979 0.1812255 -4.022601 8.899050e-05 NET_HEIGHT #> est case var0 #> (Intercept) 20.835 very signifcant (P < 0.001) intercept #> INVSCOPE -559.975 very signifcant (P < 0.001) inversed scope #> NET_HEIGHT -0.729 very signifcant (P < 0.001) net height #> #> $dat #> HAUL NET_SPREAD NET_HEIGHT WIRE_OUT NET_SPREAD_METHODS NET_HEIGHT_METHOD #> 2 3 14.83635 2.627722 137.16 4 4 #> 3 186 17.86335 2.209000 411.48 4 6 #> 4 185 17.92678 2.122000 411.48 4 6 #> 5 22 17.45922 2.230000 320.04 4 6 #> 6 39 17.19329 2.194773 274.32 4 4 #> 7 40 17.18947 2.200000 274.32 4 6 #> 8 62 15.00017 2.403000 137.16 4 6 #> 9 71 17.91849 1.600000 320.04 4 6 #> 10 73 18.04389 1.728000 365.76 4 6 #> 11 74 17.95641 1.848000 365.76 4 6 #> 12 75 17.97999 2.049000 411.48 4 6 #> 13 76 18.25751 1.855000 457.20 4 6 #> 14 78 18.22639 1.711000 411.48 4 6 #> 15 93 14.83635 2.627722 137.16 4 4 #> 16 96 14.83635 2.627722 137.16 4 4 #> 17 124 17.07211 2.361000 274.32 4 6 #> 18 125 16.52242 2.555000 228.60 4 6 #> 19 127 17.16177 2.238000 274.32 4 6 #> 20 130 16.54429 2.525000 228.60 4 6 #> 21 132 16.52752 2.548000 228.60 4 6 #> 22 155 17.75375 2.126000 365.76 4 6 #> 23 157 17.65096 2.267000 365.76 4 6 #> 24 158 17.80186 2.060000 365.76 4 6 #> 25 162 17.70928 2.187000 365.76 4 6 #> 26 175 17.38997 2.325000 320.04 4 6 #> 27 179 17.80649 2.287000 411.48 4 6 #> 28 180 17.82472 2.262000 411.48 4 6 #> 39 153 17.17460 2.343000 365.76 7 6 #> 40 154 18.06890 2.172000 411.48 7 6 #> 41 156 17.26440 2.022000 365.76 7 6 #> 42 160 17.65670 2.246000 320.04 7 6 #> 43 161 17.72740 2.305000 365.76 7 6 #> 44 163 16.91930 2.240000 365.76 7 6 #> 45 164 17.80950 2.166000 365.76 7 6 #> 46 165 17.85030 2.193000 320.04 7 6 #> 47 166 17.89860 2.234000 320.04 7 6 #> 48 167 17.89930 2.080000 365.76 7 6 #> 49 168 17.82630 2.109000 365.76 7 6 #> 50 169 18.03190 2.031000 365.76 7 6 #> 51 170 17.90640 2.016000 320.04 7 6 #> 52 171 17.30380 2.134000 320.04 7 6 #> 53 172 17.63530 2.083000 320.04 7 6 #> 54 173 18.04400 2.273000 320.04 7 6 #> 55 174 17.73700 2.184000 320.04 7 6 #> 56 176 17.63460 2.077000 365.76 7 6 #> 57 177 18.20400 2.234000 365.76 7 6 #> 58 178 18.22860 2.259000 365.76 7 6 #> 59 181 19.17180 2.186000 411.48 7 6 #> 60 182 17.95510 1.952000 411.48 7 6 #> 61 183 18.34570 2.080000 411.48 7 6 #> 62 184 17.71440 2.077000 365.76 7 6 #> 63 187 17.69960 2.038000 365.76 7 6 #> 64 188 17.84100 2.052000 365.76 7 6 #> 65 189 18.36430 2.225000 320.04 7 6 #> 66 190 17.89060 2.090000 274.32 7 6 #> 67 191 18.83180 1.968000 274.32 7 6 #> 68 192 17.46850 2.266000 274.32 7 6 #> 69 193 17.28910 2.285000 228.60 7 6 #> 70 194 17.46780 2.278000 228.60 7 6 #> 71 195 17.40940 2.351000 228.60 7 6 #> 103 79 17.10380 1.842000 411.48 7 6 #> 104 80 17.27980 1.827000 320.04 7 6 #> 105 81 16.65240 1.903000 274.32 7 6 #> 106 82 15.83280 2.174000 228.60 7 6 #> 107 83 15.52930 2.013000 228.60 7 6 #> 108 84 16.48600 1.860000 228.60 7 6 #> 109 85 16.31050 1.917000 228.60 7 6 #> 110 86 15.99340 1.888000 182.88 7 6 #> 111 87 15.80450 2.250000 228.60 7 6 #> 112 88 15.71270 2.299000 182.88 7 6 #> 113 89 15.62770 2.401000 182.88 7 6 #> 114 90 15.07380 2.254000 137.16 7 6 #> 115 91 15.75430 2.166000 137.16 7 6 #> 116 92 15.45820 2.171000 137.16 7 6 #> 117 94 15.28100 2.148000 137.16 7 6 #> 118 95 15.35290 2.105000 137.16 7 6 #> 119 97 15.37120 2.454000 137.16 7 6 #> 120 98 15.82680 2.563000 137.16 7 6 #> 121 99 15.76280 1.911000 137.16 7 6 #> 122 100 16.43660 2.198000 182.88 7 6 #> 123 101 16.71100 2.107000 182.88 7 6 #> 124 102 14.94470 2.025000 182.88 7 6 #> 125 103 16.60100 2.058000 182.88 7 6 #> 126 104 17.11460 1.820000 228.60 7 6 #> 127 105 16.61830 2.025000 228.60 7 6 #> 128 106 16.68170 1.858000 228.60 7 6 #> 129 107 16.39690 1.914000 228.60 7 6 #> 130 108 16.23050 2.292256 228.60 7 4 #> 131 109 17.24800 2.105000 228.60 7 6 #> 132 110 16.16760 2.041000 228.60 7 6 #> 133 111 15.97460 2.093000 228.60 7 6 #> 134 112 15.52170 2.191000 228.60 7 6 #> 135 113 16.57390 2.099000 274.32 7 6 #> 136 114 15.57140 2.313000 228.60 7 6 #> 137 115 15.64320 2.316000 274.32 7 6 #> 138 117 16.55170 1.943000 274.32 7 6 #> 139 118 17.19710 1.905000 320.04 7 6 #> 140 119 16.47080 2.087000 228.60 7 6 #> 141 120 16.10490 2.134000 228.60 7 6 #> 142 121 15.67950 1.986000 182.88 7 6 #> 143 122 15.10710 2.223000 182.88 7 6 #> 144 123 15.97710 1.977000 228.60 7 6 #> 145 126 16.59840 2.554000 274.32 7 6 #> 146 128 17.23980 2.637000 274.32 7 6 #> 147 129 16.30940 2.701000 228.60 7 6 #> 148 131 17.07920 2.561000 228.60 7 6 #> 149 133 16.89850 2.652000 228.60 7 6 #> 150 134 16.34050 2.543000 228.60 7 6 #> 151 135 17.50510 2.864000 228.60 7 6 #> 152 136 18.53180 2.660000 228.60 7 6 #> 153 137 16.72080 3.029000 228.60 7 6 #> 154 138 16.98170 2.740000 228.60 7 6 #> 155 139 16.60090 2.868000 228.60 7 6 #> 156 140 16.38400 2.904000 228.60 7 6 #> 157 142 18.23070 2.173000 274.32 7 6 #> 158 143 18.24750 2.116000 274.32 7 6 #> 159 144 16.85120 2.248000 274.32 7 6 #> 160 145 18.21740 2.235000 274.32 7 6 #> 161 146 18.09960 2.209000 274.32 7 6 #> 162 147 17.75310 2.054000 274.32 7 6 #> 163 148 18.15540 2.120000 320.04 7 6 #> 164 149 17.98690 2.092000 320.04 7 6 #> 165 150 17.93780 2.021000 320.04 7 6 #> 166 151 19.46440 2.002000 320.04 7 6 #> 167 4 15.25780 2.467000 182.88 7 6 #> 168 5 14.36380 2.934000 137.16 7 6 #> 169 6 15.27740 2.729000 182.88 7 6 #> 170 7 14.69230 3.084000 137.16 7 6 #> 171 8 14.67880 2.706000 137.16 7 6 #> 172 9 14.93400 2.718000 137.16 7 6 #> 173 10 15.27550 2.681000 137.16 7 6 #> 174 11 15.96140 2.429000 182.88 7 6 #> 175 12 14.74250 2.874000 137.16 7 6 #> 176 13 13.82240 2.893000 137.16 7 6 #> 177 14 15.12340 2.695000 182.88 7 6 #> 178 15 14.93340 2.822000 137.16 7 6 #> 179 16 15.26170 2.688000 182.88 7 6 #> 180 17 15.65620 2.489000 182.88 7 6 #> 181 19 15.36790 2.572000 182.88 7 6 #> 182 20 15.23390 2.694000 182.88 7 6 #> 183 21 16.17880 2.467000 228.60 7 6 #> 184 23 16.68610 2.427000 274.32 7 6 #> 185 24 16.41350 2.445000 228.60 7 6 #> 186 25 15.51110 2.530000 182.88 7 6 #> 187 26 15.70080 2.379000 182.88 7 6 #> 188 27 15.82300 2.555000 137.16 7 6 #> 189 28 16.42010 2.439000 182.88 7 6 #> 190 29 14.76970 2.709000 137.16 7 6 #> 191 30 12.79130 3.414000 137.16 7 6 #> 192 31 15.49810 2.530000 137.16 7 6 #> 193 32 15.18150 2.869000 137.16 7 6 #> 194 33 15.37120 2.792000 137.16 7 6 #> 195 34 15.94770 2.386000 137.16 7 6 #> 196 35 16.50700 2.606000 182.88 7 6 #> 197 36 16.26920 2.395000 182.88 7 6 #> 198 37 16.64200 2.406000 228.60 7 6 #> 199 38 16.52550 2.492000 228.60 7 6 #> 200 41 17.08090 2.333000 320.04 7 6 #> 201 42 16.89840 2.316000 320.04 7 6 #> 202 43 16.18790 2.308000 320.04 7 6 #> 203 44 17.22730 2.374000 320.04 7 6 #> 204 45 17.56640 2.306000 274.32 7 6 #> 205 46 16.68040 2.226000 274.32 7 6 #> 206 47 16.17150 2.412000 228.60 7 6 #> 207 48 16.42820 2.348000 228.60 7 6 #> 208 49 15.92490 2.410000 182.88 7 6 #> 209 50 15.71800 2.559000 182.88 7 6 #> 210 51 15.87330 2.437000 182.88 7 6 #> 211 52 15.10380 2.709000 137.16 7 6 #> 212 53 14.66880 2.792000 137.16 7 6 #> 213 54 15.05630 2.662000 137.16 7 6 #> 214 55 13.95290 3.082000 137.16 7 6 #> 215 56 14.57480 2.768000 137.16 7 6 #> 216 57 14.30510 2.963000 137.16 7 6 #> 217 58 12.56630 3.249000 137.16 7 6 #> 218 59 14.91530 2.698000 137.16 7 6 #> 219 60 15.28120 2.655000 137.16 7 6 #> 220 61 15.22370 2.883000 137.16 7 6 #> 221 63 15.58820 1.933000 137.16 7 6 #> 222 64 15.92360 2.062000 137.16 7 6 #> 223 65 16.76920 1.860000 182.88 7 6 #> 224 66 17.35500 1.719000 228.60 7 6 #> 225 67 17.90080 1.861000 228.60 7 6 #> 226 68 17.36020 1.761000 228.60 7 6 #> 227 69 17.46470 1.820000 228.60 7 6 #> 228 70 16.92950 1.716000 274.32 7 6 #> 229 72 17.78080 1.740000 320.04 7 6 #> 230 77 18.56800 1.814000 411.48 7 6 #> WIRE_OUT_METHODS #> 2 5 #> 3 5 #> 4 5 #> 5 5 #> 6 5 #> 7 5 #> 8 5 #> 9 5 #> 10 5 #> 11 5 #> 12 5 #> 13 5 #> 14 5 #> 15 5 #> 16 5 #> 17 5 #> 18 5 #> 19 5 #> 20 5 #> 21 5 #> 22 5 #> 23 5 #> 24 5 #> 25 5 #> 26 5 #> 27 5 #> 28 5 #> 39 5 #> 40 5 #> 41 5 #> 42 5 #> 43 5 #> 44 5 #> 45 5 #> 46 5 #> 47 5 #> 48 5 #> 49 5 #> 50 5 #> 51 5 #> 52 5 #> 53 5 #> 54 5 #> 55 5 #> 56 5 #> 57 5 #> 58 5 #> 59 5 #> 60 5 #> 61 5 #> 62 5 #> 63 5 #> 64 5 #> 65 5 #> 66 5 #> 67 5 #> 68 5 #> 69 5 #> 70 5 #> 71 5 #> 103 5 #> 104 5 #> 105 5 #> 106 5 #> 107 5 #> 108 5 #> 109 5 #> 110 5 #> 111 5 #> 112 5 #> 113 5 #> 114 5 #> 115 5 #> 116 5 #> 117 5 #> 118 5 #> 119 5 #> 120 5 #> 121 5 #> 122 5 #> 123 5 #> 124 5 #> 125 5 #> 126 5 #> 127 5 #> 128 5 #> 129 5 #> 130 5 #> 131 5 #> 132 5 #> 133 5 #> 134 5 #> 135 5 #> 136 5 #> 137 5 #> 138 5 #> 139 5 #> 140 5 #> 141 5 #> 142 5 #> 143 5 #> 144 5 #> 145 5 #> 146 5 #> 147 5 #> 148 5 #> 149 5 #> 150 5 #> 151 5 #> 152 5 #> 153 5 #> 154 5 #> 155 5 #> 156 5 #> 157 5 #> 158 5 #> 159 5 #> 160 5 #> 161 5 #> 162 5 #> 163 5 #> 164 5 #> 165 5 #> 166 5 #> 167 5 #> 168 5 #> 169 5 #> 170 5 #> 171 5 #> 172 5 #> 173 5 #> 174 5 #> 175 5 #> 176 5 #> 177 5 #> 178 5 #> 179 5 #> 180 5 #> 181 5 #> 182 5 #> 183 5 #> 184 5 #> 185 5 #> 186 5 #> 187 5 #> 188 5 #> 189 5 #> 190 5 #> 191 5 #> 192 5 #> 193 5 #> 194 5 #> 195 5 #> 196 5 #> 197 5 #> 198 5 #> 199 5 #> 200 5 #> 201 5 #> 202 5 #> 203 5 #> 204 5 #> 205 5 #> 206 5 #> 207 5 #> 208 5 #> 209 5 #> 210 5 #> 211 5 #> 212 5 #> 213 5 #> 214 5 #> 215 5 #> 216 5 #> 217 5 #> 218 5 #> 219 5 #> 220 5 #> 221 5 #> 222 5 #> 223 5 #> 224 5 #> 225 5 #> 226 5 #> 227 5 #> 228 5 #> 229 5 #> 230 5 #>"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/convert_bvdr_marp.html","id":null,"dir":"Reference","previous_headings":"","what":"Convert .bvdr files to .marp files — convert_bvdr_marp","title":"Convert .bvdr files to .marp files — convert_bvdr_marp","text":"mistakenly delete marport data haul, can retrieve data converter. using script, 1. Open .bvdr file Notepad ++ similar text editor. 2. Find uninterpretable character symbol. Often, depending editor, look like box highlighted letters \"SUB\". Find delete (via replace) characters whole document. error appear part file read (stopping line unsupported symbol ) edit data ahead time. 3. Save .bvdr file changes use link file path_bvdr example proper .marp file looks like, refer system.file(\"exdata/convert_bvdr_marp/HAUL0001.marp\", package = \"GAPsurvey\")","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/convert_bvdr_marp.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Convert .bvdr files to .marp files — convert_bvdr_marp","text":"","code":"convert_bvdr_marp(path_bvdr, verbose = FALSE)"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/convert_bvdr_marp.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Convert .bvdr files to .marp files — convert_bvdr_marp","text":"path_bvdr Character string. full path .bvdr file want convert. example, path_bvdr <- system.file(\"exdata/convert_bvdr_marp/20220811-00Za.bvdr\", package = \"GAPsurvey\") verbose Logical. Default = FALSE. like readout file looks like console, set TRUE.","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/convert_bvdr_marp.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Convert .bvdr files to .marp files — convert_bvdr_marp","text":"","code":"# readLines(system.file(\"exdata/convert_bvdr_marp/20220811-00Za.bvdr\", # package = \"GAPsurvey\"))[1:5] # input file # head(convert_bvdr_marp( # path_bvdr = system.file(\"exdata/convert_bvdr_marp/20220811-00Za.bvdr\", # package = \"GAPsurvey\"), # verbose = TRUE), 20) # convert_bvdr_marp( # path_bvdr = system.file(\"exdata/convert_bvdr_marp/20220811-00Za.bvdr\", # package = \"GAPsurvey\")) # readLines(system.file(\"exdata/convert_bvdr_marp/20220811-00Za.marp\", # package = \"GAPsurvey\")) # output file"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/convert_ctd_btd.html","id":null,"dir":"Reference","previous_headings":"","what":"Convert CTD data from .hex to BTD and BTH — convert_ctd_btd","title":"Convert CTD data from .hex to BTD and BTH — convert_ctd_btd","text":"function converts CTD hexadecimal (.hex) file bathythermic data (.btd) bathythermic header files (.bth). unable convert file, please contact sean.rohan@noaa.gov.","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/convert_ctd_btd.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Convert CTD data from .hex to BTD and BTH — convert_ctd_btd","text":"","code":"convert_ctd_btd( filepath_hex, dirpath_output = \"./\", filepath_xmlcon = NULL, latitude = NA, VESSEL = NA, CRUISE = NA, HAUL = NA, MODEL_NUMBER = NA, VERSION_NUMBER = NA, SERIAL_NUMBER = NA, instrument_timezone = \"America/Anchorage\", filename_add = \"new\" )"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/convert_ctd_btd.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Convert CTD data from .hex to BTD and BTH — convert_ctd_btd","text":"filepath_hex Required. Filepath SBE19plus hexadecimal (.hex) file single cast character vector (e.g. \"C:/CTD/202301_162_L1/sbe19plus01908091_05_04_0001.hex\")/. dirpath_output Optional. default local working directory may specified string. filepath_xmlcon Required. Filepath instrument configuration file (.xmlcon) CTD (e.g. serial number 8091 use file 8091 name (\"C:/CTD/xmlcon configuration files/SBE19plusV2_8091.xmlcon\"). latitude Required. Latitude decimal degrees (approximate). VESSEL Required. vessel number (e.g., 94). CRUISE Required. cruise number (e.g., 201901). HAUL Required. haul number (e.g. 150). MODEL_NUMBER Optional. model number CTD . VERSION_NUMBER Optional. version number CTD. SERIAL_NUMBER Optional. serial number CTD. instrument_timezone Time zone instrument data. change unless instrument setup Alaska Time filename_add Optional. Default = \"new\". string added BTD BTH outputs. can help prevent accidentally overwriting BTH BTD files.","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/convert_ctd_btd.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Convert CTD data from .hex to BTD and BTH — convert_ctd_btd","text":".BTH .BTD files dirpath_output directory.","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/convert_ctd_btd.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Convert CTD data from .hex to BTD and BTH — convert_ctd_btd","text":"https://github.com/afsc-gap-products/gapctd","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/convert_ctd_btd.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Convert CTD data from .hex to BTD and BTH — convert_ctd_btd","text":"","code":"# CTD without auxiliary sensors convert_ctd_btd( filepath_hex = system.file(paste0(\"exdata/convert_ctd_btd/\", \"2021_06_13_0003.hex\"), package = \"GAPsurvey\"), filepath_xmlcon = system.file(paste0(\"exdata/convert_ctd_btd/\", \"19-8102_Deploy2021.xmlcon\"), package = \"GAPsurvey\"), latitude = 55, VESSEL = 94, CRUISE = 202101, HAUL = 107, SERIAL_NUMBER = 8105) #> Type model number (optional): #> Type version number (optional): #> xmlcon_to_df: Skpping oxygen. Sensor calibration parameters not detected in xmlcon file. #> xmlcon_to_df: Skpping ph. Sensor calibration parameters not detected in xmlcon file. #> hex_to_cnv: 5 data channels detected (time_elapsed, temperature, pressure, conductivity, flag) #> hex_to_cnv: Writing data to cnv. #> convert_ctd_btd: Intermediate data file (.cnv) saved to Z:/Projects/GAPsurvey_general/GAPsurvey/docs/reference/2021_06_13_0003.cnv #> Baththermic data (.BTD) and header (.BTD) files written to: ./ # CTD with DO and pH sensors convert_ctd_btd( filepath_hex = system.file(paste0(\"exdata/convert_ctd_btd/\", \"SBE19plus_01908106_2023_06_18_0001.hex\"), package = \"GAPsurvey\"), filepath_xmlcon = system.file(paste0(\"exdata/convert_ctd_btd/\", \"SBE19plusV2_8106_ph_DO_leg2.xmlcon\"), package = \"GAPsurvey\"), VESSEL = 162, CRUISE = 202301, HAUL = 97, latitude = 59.01693, MODEL_NUMBER = \"\", VERSION_NUMBER = \"\", SERIAL_NUMBER = 8106) #> hex_to_cnv: 7 data channels detected (time_elapsed, temperature, pressure, conductivity, oxygen_voltage, ph, flag) #> hex_to_cnv: Writing data to cnv. #> convert_ctd_btd: Intermediate data file (.cnv) saved to Z:/Projects/GAPsurvey_general/GAPsurvey/docs/reference/SBE19plus_01908106_2023_06_18_0001.cnv #> Baththermic data (.BTD) and header (.BTD) files written to: ./"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/convert_do_to_o2sat.html","id":null,"dir":"Reference","previous_headings":"","what":"Calculate oxygen saturation (percent) from dissolved oxygen (ml/l) — convert_do_to_o2sat","title":"Calculate oxygen saturation (percent) from dissolved oxygen (ml/l) — convert_do_to_o2sat","text":"Dissolved oxygen divided oxygen saturation calculated following Garcia Gordon (1992)","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/convert_do_to_o2sat.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calculate oxygen saturation (percent) from dissolved oxygen (ml/l) — convert_do_to_o2sat","text":"","code":"convert_do_to_o2sat(oxygen, temperature, salinity)"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/convert_do_to_o2sat.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calculate oxygen saturation (percent) from dissolved oxygen (ml/l) — convert_do_to_o2sat","text":"oxygen Dissolved oxygen ml/l temperature Temperature (IPTS-68, degrees Celsius). salinity Salinity (PSU, PSS-78).","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/convert_do_to_o2sat.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Calculate oxygen saturation (percent) from dissolved oxygen (ml/l) — convert_do_to_o2sat","text":"Garcia, H.E., Gordon, L.., 1992. Oxygen solubility seawater: Better fitting equations. Limnol. Oceanogr. 37, 1307–1312. https://doi.org/10.4319/lo.1992.37.6.1307","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/convert_do_to_o2sat.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Calculate oxygen saturation (percent) from dissolved oxygen (ml/l) — convert_do_to_o2sat","text":"Sean Rohan","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/convert_log_gps.html","id":null,"dir":"Reference","previous_headings":"","what":"Recover position data from Globe .log file — convert_log_gps","title":"Recover position data from Globe .log file — convert_log_gps","text":"event MARPORT server GPS fails incomplete, \"convert_log_gps()\" converts GLOBE LOG files format can uploaded WHEELHOUSE. get .log file usable function, 1) Go C:\\ globe\\ logs\\ 2018\\ directory choose GLG file proper date 2) Use GLOBE Files>Logs> convert .GLG (binary) .LOG (.csv) file 3) convert_log_gps()prompt Vessel code, Cruise ., Haul . Date 4) final prompt ask location GLOBE LOG file 5) convert_log_gps()create csv file R directory filename \"new.gps\" 6) Rename \"new.gps\" HAULXXXX.GPS XXXX haul number 7) Upload HAULXXXX.GPS WHEELHOUSE 8) NOTE: raw GLOBE log data GMT time (-8 hrs 4PM AKDT prior day 4PM current day. Hence haul missing GPS spans 4PM hour (e.g.,3:45-4:30 PM),CONVERT TWO GLG files (current day next day)run convert_log_gps()twice & manually combine two GPS files 9) ALSO NOTE: may shut GLOBE wait 4pm following day incoming NMEA data written GLG file.","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/convert_log_gps.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Recover position data from Globe .log file — convert_log_gps","text":"","code":"convert_log_gps( VESSEL = NA, CRUISE = NA, HAUL = NA, DATE = NA, path_in, path_out = \"./\", filename_add = \"\" )"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/convert_log_gps.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Recover position data from Globe .log file — convert_log_gps","text":"VESSEL Optional. Default = NA. vessel number (e.g., 94). NA called function, prompt appear asking data. CRUISE Optional. Default = NA. cruise number, usually year date (e.g., 201901). NA called function, prompt appear asking data. HAUL Optional. Default = NA. haul number, aka iterative number haul (e.g., 3). NA called function, prompt appear asking data. DATE Optional. Default = NA. date MM/DD/YYYY format (e.g., \"06/02/2019\"). NA called function, prompt appear asking data. path_in Optional. Default = \"./., local working directory path (string) may entered. path_out Optional. default local working directory may specified string. filename_add Optional. Default = \"new\". string added name outputted file. , can additional information may make file helpful find later.","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/convert_log_gps.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Recover position data from Globe .log file — convert_log_gps","text":".GPS file path_out directory.","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/convert_log_gps.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Recover position data from Globe .log file — convert_log_gps","text":"Now .log file, can RUN function putting cursor \"convert_log_gps()\" line & press CTRL+R.","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/convert_log_gps.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Recover position data from Globe .log file — convert_log_gps","text":"","code":"readLines(system.file(\"exdata/convert_log_gps/06062017.log\", package = \"GAPsurvey\"))[1:5] # input file #> Warning: incomplete final line found on 'C:/Users/emily.markowitz/AppData/Local/R/win-library/4.3/GAPsurvey/exdata/convert_log_gps/06062017.log' #> [1] \"$GPRMC,235958.000,A,5814.4411,N,15934.8091,W,9.45,11.19,050617,,,D*4E\" #> [2] \"$SDDBS,76.71,f,23.38,M,12.79,F\" #> [3] \"$GPGGA,235959.000,5814.4436,N,15934.8081,W,2,08,1.1,10.9,M,16.2,M,2.0,0000*53\" #> [4] \"$GPGSA,M,3,25,29,02,31,12,06,14,51,,,,,1.8,1.1,1.4*3A\" #> [5] \"$SDDBS,76.79,f,23.41,M,12.80,F\" convert_log_gps( VESSEL = 94, CRUISE = 201901, HAUL = 3, DATE = \"06/06/2017\", path_in = system.file(\"exdata/convert_log_gps/06062017.log\", package = \"GAPsurvey\"), path_out = getwd(), filename_add = \"newlog\") #> Your new .gps files are saved to Z:/Projects/GAPsurvey_general/GAPsurvey/docs/reference/HAUL0003_newlog.gps readLines(system.file(\"exdata/convert_log_gps/HAUL0003_newlog.gps\", package = \"GAPsurvey\"))[1:5] # output file #> [1] \"94,201901,3,06/06/2017 15:59:58,5814.4411,-15934.8091\" #> [2] \"94,201901,3,06/06/2017 15:59:59,5814.4436,-15934.8081\" #> [3] \"94,201901,3,06/06/2017 16:00:00,5814.4462,-15934.8071\" #> [4] \"94,201901,3,06/06/2017 16:00:01,5814.4487,-15934.8061\" #> [5] \"94,201901,3,06/06/2017 16:00:02,5814.4513,-15934.8052\" readLines(system.file(\"exdata/convert_log_gps/Haul0037\", package = \"GAPsurvey\"))[1:5] # input file #> Warning: file(\"\") only supports open = \"w+\" and open = \"w+b\": using the former #> [1] NA NA NA NA NA convert_log_gps( VESSEL = 94, CRUISE = 202101, HAUL = 37, DATE = \"06/07/2021\", path_in = system.file(\"exdata/convert_log_gps/Haul0037.log\", package = \"GAPsurvey\"), path_out = getwd(), filename_add = \"newlog\") #> Your new .gps files are saved to Z:/Projects/GAPsurvey_general/GAPsurvey/docs/reference/HAUL0037_newlog.gps readLines(system.file(\"exdata/convert_log_gps/Haul0037_newlog.gps\", package = \"GAPsurvey\"))[1:5] # output file #> [1] \"94,202101,37,06/07/2021 08:04:00,5737.6868,-16401.4024\" #> [2] \"94,202101,37,06/07/2021 08:04:01,5737.6842,-16401.4038\" #> [3] \"94,202101,37,06/07/2021 08:04:02,5737.6816,-16401.4046\" #> [4] \"94,202101,37,06/07/2021 08:04:03,5737.6792,-16401.4044\" #> [5] \"94,202101,37,06/07/2021 08:04:04,5737.6767,-16401.4038\""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/convert_ted_btd.html","id":null,"dir":"Reference","previous_headings":"","what":"BVDR Conversion to Create BTD data — convert_ted_btd","title":"BVDR Conversion to Create BTD data — convert_ted_btd","text":"Converts Marport BVDR data (.ted .tet files Marport headrope sensor) .BTD format. must first run BVDR converter program (convert_bvdr.exe) convert Marport .bvdr files .ted .tet files can pulled R. BVDR program instructions can found RACE Survey App. create .SGT file using example BVDR instruction file start end time (sure include carriage return (second ) final row data!), file current systems creates. used BVDR converter output .ted .tet files ready use convert_ted_btd() function !","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/convert_ted_btd.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"BVDR Conversion to Create BTD data — convert_ted_btd","text":"","code":"convert_ted_btd( VESSEL = NA, CRUISE = NA, HAUL = NA, MODEL_NUMBER = NA, VERSION_NUMBER = NA, SERIAL_NUMBER = NA, path_in = \"C:/Program Files/Marport Server/Logs/\", path_out = \"./\", filename_add = \"new\" )"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/convert_ted_btd.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"BVDR Conversion to Create BTD data — convert_ted_btd","text":"VESSEL Optional. Default = NA. vessel number (e.g., 162 AK Knight, 94 Vesteraalen). NA called function, prompt appear asking data. CRUISE Optional. Default = NA. cruise number, usually year + sequential two digit cruise (e.g., 202101). NA called function, prompt appear asking data. HAUL Optional. Default = NA. haul number trying convert data (e.g., 3). NA called function, prompt appear asking data. MODEL_NUMBER Optional. Default = NA. model number Marport sensor (e.g., 123 999, can put NA dummy number instead actual model number without negative repercussions). VERSION_NUMBER Optional. Default = NA. version number Marport sensor (e.g., 123 999, can put NA dummy number instead actual version number without negative repercussions). SERIAL_NUMBER Optional. Default = NA. serial number Marport sensor (e.g., 123 999, can put NA dummy number instead actual serial number without negative repercussions). path_in Optional. default location catch computer (\"C:/Program Files/Marport Server/Logs/\") path can entered. path_out Optional. default local working directory can specified string. filename_add Optional. Default = \"new\". string added name outputed file. , can additional information may make file helpful find later.","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/convert_ted_btd.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"BVDR Conversion to Create BTD data — convert_ted_btd","text":".BTH .BTD files path_out directory.","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/convert_ted_btd.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"BVDR Conversion to Create BTD data — convert_ted_btd","text":"","code":"# input files readLines(system.file(\"exdata/convert_bvdr_btd/201901_94_0003.ted\", package = \"GAPsurvey\"))[1:5] #> [1] \"94,201901,3,6/3/2019 11:47:08,1,51,m\" #> [2] \"94,201901,3,6/3/2019 11:47:09,1,51,m\" #> [3] \"94,201901,3,6/3/2019 11:47:10,1,51,m\" #> [4] \"94,201901,3,6/3/2019 11:47:11,1,51,m\" #> [5] \"94,201901,3,6/3/2019 11:47:13,1,51,m\" readLines(system.file(\"exdata/convert_bvdr_btd/201901_94_0003.tet\", package = \"GAPsurvey\"))[1:5] #> [1] \"94,201901,3,6/3/2019 10:49:47,1,8.8,C\" #> [2] \"94,201901,3,6/3/2019 10:49:37,1,8.7,C\" #> [3] \"94,201901,3,6/3/2019 10:49:45,1,8.7,C\" #> [4] \"94,201901,3,6/3/2019 10:49:46,1,8.7,C\" #> [5] \"94,201901,3,6/3/2019 10:49:48,1,8.7,C\" readLines(system.file(\"exdata/convert_bvdr_btd/201901_94_0003.teh\", package = \"GAPsurvey\"))[1:5] #> [1] \"94,201901,3,6/3/2019 10:02:27,23,4.9\" #> [2] \"94,201901,3,6/3/2019 10:05:58,23,4.9\" #> [3] \"94,201901,3,6/3/2019 10:10:33,23,4.9\" #> [4] \"94,201901,3,6/3/2019 10:13:29,23,4.8\" #> [5] \"94,201901,3,6/3/2019 10:17:47,23,4.8\" #' run function convert_ted_btd( VESSEL = 94, CRUISE = 201901, HAUL = 3, MODEL_NUMBER = 123, VERSION_NUMBER = 456, SERIAL_NUMBER = 789, path_in = system.file(\"exdata/convert_bvdr_btd/\", package = \"GAPsurvey\"), path_out = getwd(), filename_add = \"newted\") #> Your new Z:/Projects/GAPsurvey_general/GAPsurvey/docs/reference/HAUL0003_newted .BTD and .BTH files are saved. # output files readLines(system.file(\"exdata/convert_bvdr_btd/HAUL0003_newted.BTD\", package = \"GAPsurvey\"))[1:5] #> [1] \"VESSEL,CRUISE,HAUL,SERIAL_NUMBER,DATE_TIME,TEMPERATURE,DEPTH,\" #> [2] \"94,201901,3,789,6/3/2019 10:49:20,8.5,0,\" #> [3] \"94,201901,3,789,6/3/2019 10:49:23,8.5,,\" #> [4] \"94,201901,3,789,6/3/2019 10:49:25,8.5,,\" #> [5] \"94,201901,3,789,6/3/2019 10:49:26,8.5,,\" readLines(system.file(\"exdata/convert_bvdr_btd/HAUL0003_newted.BTH\", package = \"GAPsurvey\"))[1:5] #> [1] \"VESSEL,CRUISE,HAUL,MODEL_NUMBER,VERSION_NUMBER,SERIAL_NUMBER,HOST_TIME,LOGGER_TIME,LOGGING_START,LOGGING_END,SAMPLE_PERIOD,NUMBER_CHANNELS,NUMBER_SAMPLES,MODE\" #> [2] \"94,201901,3,123,456,789,06/03/19 11:59:59,06/03/19 11:59:59,06/03/19 10:49:20,06/03/19 11:59:59,3,2,0,2\" #> [3] NA #> [4] NA #> [5] NA"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/extract_calibration_xmlcon.html","id":null,"dir":"Reference","previous_headings":"","what":"Extract calibration parameters from xmlcon to a list — extract_calibration_xmlcon","title":"Extract calibration parameters from xmlcon to a list — extract_calibration_xmlcon","text":"Retrives calibration parameters temperature, conductivity, pressure, oxygen, pH sensors instrument configuration (.xmlcon) file.","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/extract_calibration_xmlcon.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Extract calibration parameters from xmlcon to a list — extract_calibration_xmlcon","text":"","code":"extract_calibration_xmlcon(xmlcon_path)"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/extract_calibration_xmlcon.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Extract calibration parameters from xmlcon to a list — extract_calibration_xmlcon","text":"xmlcon_path Path xmlcon file.","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/extract_calibration_xmlcon.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Extract calibration parameters from xmlcon to a list — extract_calibration_xmlcon","text":"Sean Rohan","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/fix_path.html","id":null,"dir":"Reference","previous_headings":"","what":"Make sure file path is complete — fix_path","title":"Make sure file path is complete — fix_path","text":"Function adds '/' '\\' end directories recognizes file extensions end strings.","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/fix_path.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Make sure file path is complete — fix_path","text":"","code":"fix_path(path)"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/fix_path.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Make sure file path is complete — fix_path","text":"path string complete path directory file.","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/fix_path.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Make sure file path is complete — fix_path","text":"fixed path string.","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/fix_path.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Make sure file path is complete — fix_path","text":"","code":"fix_path(\"sdfg/sdfg/sdfg/dfg.dd\") #> [1] \"sdfg/sdfg/sdfg/dfg.dd\" fix_path(\"sdfg/sdfg/sdfg\") #> [1] \"sdfg/sdfg/sdfg/\" fix_path(\"sdfg/sdfg/sdfg/\") #> [1] \"sdfg/sdfg/sdfg/\""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/get_calibration_parameter.html","id":null,"dir":"Reference","previous_headings":"","what":"Extract variable from xmlcon file text — get_calibration_parameter","title":"Extract variable from xmlcon file text — get_calibration_parameter","text":"Extract variable xmlcon file text","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/get_calibration_parameter.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Extract variable from xmlcon file text — get_calibration_parameter","text":"","code":"get_calibration_parameter( header, cal_par, start_block = NULL, end_block = NULL, make_numeric = TRUE )"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/get_calibration_parameter.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Extract variable from xmlcon file text — get_calibration_parameter","text":"header Character vector lines xmlcon file cal_par Character vector xmlcon tag start_block starting index lines header search end_block ending index lines leader search make_numeric Logical. tag value forced numeric?","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/get_calibration_parameter.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Extract variable from xmlcon file text — get_calibration_parameter","text":"Sean Rohan","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/get_catch_haul_history.html","id":null,"dir":"Reference","previous_headings":"","what":"Find historical catch data from previous years — get_catch_haul_history","title":"Find historical catch data from previous years — get_catch_haul_history","text":"Find historical catch data previous years","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/get_catch_haul_history.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Find historical catch data from previous years — get_catch_haul_history","text":"","code":"get_catch_haul_history( survey, species_codes = NA, years = NA, station, grid_buffer = NA )"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/get_catch_haul_history.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Find historical catch data from previous years — get_catch_haul_history","text":"survey (character) character string survey interested reivewing. Options public_data$survey, \"AI\", \"GOA\", \"EBS\", \"NBS\", \"BSS\". species_codes (numeric) species code number species species specifically interested reviewing data . NA/entered, function return data species caught haul. years (numeric) years want returned output. years = NA, script default last 10 years. like see years, simply choose large range covers years survey (e.g., 1970:2030) station (character) character string current station name (grid cell; e.g., \"264-85\") grid_buffer (numeric) GOA/AI . number cells around current station like see catches . Typically, use grid_buffer = 3.","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/get_catch_haul_history.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Find historical catch data from previous years — get_catch_haul_history","text":"data.frame past catches hauls","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/get_catch_haul_history.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Find historical catch data from previous years — get_catch_haul_history","text":"","code":"#' # EBS (or NBS) -------------------------------------------------------------- ## for one year and only 1 station for all species -------------------------- get_catch_haul_history( survey = \"EBS\", years = 2021, station = \"I-13\") #> $catch #> $catch$`2021` #> station scientific_name common_name count #> 1 I-13 Gadus chalcogrammus walleye pollock 793 #> 2 I-13 Lepidopsetta polyxystra northern rock sole 1530 #> 3 I-13 Limanda aspera yellowfin sole 584 #> 4 I-13 Asterias amurensis purple-orange sea star 1816 #> 5 I-13 Arctoraja parmifera Alaska skate 6 #> 6 I-13 Gadus macrocephalus Pacific cod 91 #> 7 I-13 Hippoglossus stenolepis Pacific halibut 45 #> 8 I-13 Hippoglossoides elassodon flathead sole 48 #> 9 I-13 Paralithodes camtschaticus red king crab 18 #> 10 I-13 Pleuronectes quadrituberculatus Alaska plaice 47 #> 11 I-13 Myoxocephalus jaok plain sculpin 3 #> 12 I-13 Isopsetta isolepis butter sole 17 #> 13 I-13 Neptunea ventricosa fat whelk 29 #> 14 I-13 Podothecus accipenserinus sturgeon poacher 54 #> 15 I-13 Platichthys stellatus starry flounder 2 #> 16 I-13 Porifera sponge unid. NA #> 17 I-13 Gorgonocephalus eucnemis basketstar 8 #> 18 I-13 Pagurus ochotensis Alaskan hermit 8 #> 19 I-13 empty gastropod shells NA #> 20 I-13 Mactromeris polynyma Arctic surfclam 8 #> 21 I-13 Neptunea heros 4 #> 22 I-13 Hyas lyratus Pacific lyre crab 6 #> 23 I-13 empty bivalve shells NA #> 24 I-13 Boltenia ovifera sea onion NA #> 25 I-13 Clupea pallasii Pacific herring 2 #> 26 I-13 Chionoecetes bairdi Tanner crab 1 #> 27 I-13 Metridium sp. 8 #> 28 I-13 Chrysaora melanaster 2 #> 29 I-13 Styela rustica sea potato NA #> 30 I-13 Gersemia rubiformis NA #> 31 I-13 Neptunea borealis 2 #> 32 I-13 Liparis gibbus variegated snailfish 2 #> 33 I-13 Glebocarcinus oregonensis Oregon rock crab 2 #> 34 I-13 Polychaeta polychaete worm unid. 4 #> 35 I-13 Crangon sp. 2 #> weight_kg cpue_kgkm2 cpue_nokm2 #> 1 550.359 11529.782133 16613.00575 #> 2 213.721 4477.362171 32052.83581 #> 3 139.534 2923.176727 12234.54648 #> 4 127.104 2662.773623 38044.41166 #> 5 41.960 879.043785 125.69740 #> 6 31.140 652.369482 1906.41050 #> 7 26.103 546.846518 942.73046 #> 8 23.811 498.830113 1005.57916 #> 9 19.380 406.002587 377.09219 #> 10 16.947 355.032293 984.62960 #> 11 5.420 113.546647 62.84870 #> 12 4.072 85.306632 356.14262 #> 13 3.742 78.393276 607.53741 #> 14 3.355 70.285794 1131.27656 #> 15 3.219 67.436653 41.89913 #> 16 2.889 60.523296 0.00000 #> 17 1.861 38.987142 167.59653 #> 18 0.853 17.869980 167.59653 #> 19 0.795 16.654905 0.00000 #> 20 0.620 12.988731 167.59653 #> 21 0.620 12.988731 83.79826 #> 22 0.465 9.741548 125.69740 #> 23 0.427 8.945465 0.00000 #> 24 0.359 7.520894 0.00000 #> 25 0.339 7.101903 41.89913 #> 26 0.220 4.608904 20.94957 #> 27 0.213 4.462258 167.59653 #> 28 0.175 3.666174 41.89913 #> 29 0.145 3.037687 0.00000 #> 30 0.068 1.424570 0.00000 #> 31 0.039 0.817033 41.89913 #> 32 0.019 0.398042 41.89913 #> 33 0.010 0.209496 41.89913 #> 34 0.010 0.209496 83.79826 #> 35 0.004 0.083798 41.89913 #> #> #> $catch_means #> [1] \"A summary of catch data would not be helpful with these function parameters\" #> #> $haul #> year station haul stratum vessel_name date_time latitude_dd_start #> 1 2021 I-13 7 31 ALASKA KNIGHT 2021-06-02 12:05:29 57.65493 #> longitude_dd_start bottom_temperature_c surface_temperature_c depth_m #> 1 -160.2535 4.4 4.7 55 #> distance_fished_km net_width_m net_height_m area_swept_km2 duration_hr #> 1 2.954 16.159 1.794 0.047734 0.522 #> total_weight_kg #> 1 1220 #> ## for default 10 years and only 1 station for PCOD and walleye pollock ---- get_catch_haul_history( species_codes = c(21720, 21740), # pacific cod and walleye pollock survey = \"EBS\", station = \"I-13\") #> $catch #> $catch$`2013` #> station scientific_name common_name count weight_kg cpue_kgkm2 #> 19 I-13 Gadus chalcogrammus walleye pollock 20 49.20 1136.2251 #> 20 I-13 Gadus macrocephalus Pacific cod 68 30.72 709.4479 #> cpue_nokm2 #> 19 461.8801 #> 20 1570.3924 #> #> $catch$`2014` #> station scientific_name common_name count weight_kg cpue_kgkm2 #> 17 I-13 Gadus macrocephalus Pacific cod 138 54.367 1306.6566 #> 18 I-13 Gadus chalcogrammus walleye pollock 65 41.508 997.6033 #> cpue_nokm2 #> 17 3316.692 #> 18 1562.210 #> #> $catch$`2015` #> station scientific_name common_name count weight_kg cpue_kgkm2 #> 15 I-13 Gadus macrocephalus Pacific cod 827 442.790 9202.058 #> 16 I-13 Gadus chalcogrammus walleye pollock 363 377.003 7834.873 #> cpue_nokm2 #> 15 17186.707 #> 16 7543.863 #> #> $catch$`2016` #> station scientific_name common_name count weight_kg cpue_kgkm2 #> 13 I-13 Gadus macrocephalus Pacific cod 779 776.725 16690.3179 #> 14 I-13 Gadus chalcogrammus walleye pollock 37 7.043 151.3404 #> cpue_nokm2 #> 13 16739.2032 #> 14 795.0584 #> #> $catch$`2017` #> station scientific_name common_name count weight_kg cpue_kgkm2 #> 11 I-13 Gadus chalcogrammus walleye pollock 139 57.062 1303.8383 #> 12 I-13 Gadus macrocephalus Pacific cod 13 9.800 223.9251 #> cpue_nokm2 #> 11 3176.0808 #> 12 297.0435 #> #> $catch$`2018` #> station scientific_name common_name count weight_kg cpue_kgkm2 #> 9 I-13 Gadus chalcogrammus walleye pollock 95 80.05 1685.4747 #> 10 I-13 Gadus macrocephalus Pacific cod 8 5.05 106.3291 #> cpue_nokm2 #> 9 2000.2511 #> 10 168.4422 #> #> $catch$`2019` #> station scientific_name common_name count weight_kg cpue_kgkm2 #> 7 I-13 Gadus macrocephalus Pacific cod 118 43.080 946.3481 #> 8 I-13 Gadus chalcogrammus walleye pollock 31 6.915 151.9034 #> cpue_nokm2 #> 7 2592.133 #> 8 680.984 #> #> $catch$`2021` #> station scientific_name common_name count weight_kg cpue_kgkm2 #> 5 I-13 Gadus chalcogrammus walleye pollock 793 550.359 11529.7821 #> 6 I-13 Gadus macrocephalus Pacific cod 91 31.140 652.3695 #> cpue_nokm2 #> 5 16613.01 #> 6 1906.41 #> #> $catch$`2022` #> station scientific_name common_name count weight_kg cpue_kgkm2 #> 3 I-13 Gadus chalcogrammus walleye pollock 135 140.138 3252.886 #> 4 I-13 Gadus macrocephalus Pacific cod 173 104.016 2414.421 #> cpue_nokm2 #> 3 3133.623 #> 4 4015.679 #> #> $catch$`2023` #> station scientific_name common_name count weight_kg cpue_kgkm2 #> 1 I-13 Gadus chalcogrammus walleye pollock 70 41.744 898.023 #> 2 I-13 Gadus macrocephalus Pacific cod 31 9.190 197.701 #> cpue_nokm2 #> 1 1505.8837 #> 2 666.8913 #> #> #> $catch_means #> scientific_name common_name station count weight_kg cpue_kgkm2 #> 1 Gadus macrocephalus Pacific cod I-13 224.6 150.69 3244.96 #> 2 Gadus chalcogrammus walleye pollock I-13 174.8 135.10 2894.19 #> cpue_nokm2 Freq #> 1 4845.96 10 #> 2 3747.28 10 #> #> $haul #> year station haul stratum vessel_name date_time #> 1 2013 I-13 8 31 ALDEBARAN 2013-06-10 11:35:21 #> 2 2014 I-13 8 31 ALASKA KNIGHT 2014-06-09 12:34:43 #> 3 2015 I-13 9 31 VESTERAALEN 2015-06-04 11:36:07 #> 4 2016 I-13 12 31 ALASKA KNIGHT 2016-06-02 12:23:54 #> 5 2017 I-13 8 31 ALASKA KNIGHT 2017-06-05 15:12:37 #> 6 2018 I-13 9 31 ALASKA KNIGHT 2018-06-04 12:39:27 #> 7 2019 I-13 11 31 VESTERAALEN 2019-06-04 13:15:57 #> 8 2021 I-13 7 31 ALASKA KNIGHT 2021-06-02 12:05:29 #> 9 2022 I-13 12 31 VESTERAALEN 2022-06-01 16:20:20 #> 10 2023 I-13 16 31 NORTHWEST EXPLORER 2023-05-30 13:43:02 #> latitude_dd_start longitude_dd_start bottom_temperature_c #> 1 57.67621 -160.2702 2.5 #> 2 57.67458 -160.2594 5.0 #> 3 57.67938 -160.2449 4.6 #> 4 57.66506 -160.2658 6.0 #> 5 57.65211 -160.2444 3.3 #> 6 57.68093 -160.2568 4.3 #> 7 57.69052 -160.2580 5.5 #> 8 57.65493 -160.2535 4.4 #> 9 57.65502 -160.2754 3.6 #> 10 57.66505 -160.2725 3.4 #> surface_temperature_c depth_m distance_fished_km net_width_m net_height_m #> 1 3.0 56 2.832 15.290 2.545 #> 2 6.1 54 2.772 15.010 2.257 #> 3 7.5 55 2.969 16.207 2.635 #> 4 7.1 55 3.116 14.935 2.880 #> 5 3.5 53 2.829 15.470 2.426 #> 6 4.5 54 2.887 16.451 2.459 #> 7 7.5 54 2.840 16.029 2.200 #> 8 4.7 55 2.954 16.159 1.794 #> 9 7.6 54 2.854 15.095 2.566 #> 10 3.4 55 2.879 16.146 2.175 #> area_swept_km2 duration_hr total_weight_kg #> 1 0.043301 0.498 2118.00 #> 2 0.041608 0.503 1456.00 #> 3 0.048119 0.527 3026.00 #> 4 0.046537 0.545 4480.00 #> 5 0.043765 0.518 1296.00 #> 6 0.047494 0.515 875.12 #> 7 0.045522 0.520 3186.00 #> 8 0.047734 0.522 1220.00 #> 9 0.043081 0.531 1190.00 #> 10 0.046484 0.516 812.00 #> # AI (or GOA) --------------------------------------------------------------- ## for two specific years and nearby stations ------------------------------- get_catch_haul_history( survey = \"AI\", years = c(2016, 2018), station = \"324-73\", grid_buffer = 3) #> $catch #> $catch$`2016` #> haul scientific_name common_name station count #> 88 3 Gadus macrocephalus Pacific cod 320-73 243 #> 89 7 Atheresthes stomias arrowtooth flounder 320-74 291 #> 90 3 Hippoglossus stenolepis Pacific halibut 320-73 133 #> 91 5 Hippoglossoides elassodon flathead sole 320-74 78 #> 92 5 Lepidopsetta bilineata southern rock sole 320-74 69 #> 93 3 Lepidopsetta bilineata southern rock sole 320-73 90 #> 94 3 Lepidopsetta polyxystra northern rock sole 320-73 103 #> 95 5 Hippoglossus stenolepis Pacific halibut 320-74 31 #> 96 4 Hippoglossoides elassodon flathead sole 324-73 133 #> 97 7 Gadus macrocephalus Pacific cod 320-74 10 #> 98 4 Atheresthes stomias arrowtooth flounder 324-73 54 #> 99 7 Lepidopsetta polyxystra northern rock sole 320-74 41 #> 100 3 Atheresthes stomias arrowtooth flounder 320-73 27 #> 101 7 Hippoglossus stenolepis Pacific halibut 320-74 12 #> 102 4 Hippoglossus stenolepis Pacific halibut 324-73 11 #> 103 7 Enteroctopus dofleini giant octopus 320-74 2 #> 104 5 Lepidopsetta polyxystra northern rock sole 320-74 26 #> 105 4 Anoplopoma fimbria sablefish 324-73 11 #> 106 4 Gadus chalcogrammus walleye pollock 324-73 10 #> 107 4 Lepidopsetta bilineata southern rock sole 324-73 6 #> 108 5 Atheresthes stomias arrowtooth flounder 320-74 8 #> 109 4 Parophrys vetulus English sole 324-73 6 #> 110 4 Glyptocephalus zachirus rex sole 324-73 29 #> 111 5 Gadus macrocephalus Pacific cod 320-74 4 #> 112 3 Anarrhichthys ocellatus wolf-eel 320-73 1 #> 113 4 Enteroctopus dofleini giant octopus 324-73 1 #> 114 4 Myoxocephalus polyacanthocephalus great sculpin 324-73 1 #> 115 3 Clupea pallasii Pacific herring 320-73 10 #> 116 7 Hemilepidotus jordani yellow Irish lord 320-74 6 #> 117 3 Pleurogrammus monopterygius Atka mackerel 320-73 5 #> 118 7 Glyptocephalus zachirus rex sole 320-74 7 #> 119 5 Hemilepidotus jordani yellow Irish lord 320-74 2 #> 120 7 Lepidopsetta bilineata southern rock sole 320-74 2 #> 121 4 Gadus macrocephalus Pacific cod 324-73 2 #> 122 7 Atheresthes evermanni Kamchatka flounder 320-74 8 #> 123 7 Chirona evermanni giant barnacle 320-74 NA #> 124 3 Hemilepidotus jordani yellow Irish lord 320-73 1 #> 125 5 Pycnopodia helianthoides sunflower sea star 320-74 1 #> 126 4 Gorgonocephalus eucnemis basketstar 324-73 4 #> 127 4 Thaliacea salp unid. 324-73 NA #> 128 3 Hippoglossoides elassodon flathead sole 320-73 1 #> 129 5 Pleurogrammus monopterygius Atka mackerel 320-74 1 #> 130 7 Sebastes polyspinis northern rockfish 320-74 2 #> 131 5 Gadus chalcogrammus walleye pollock 320-74 1 #> 132 7 Hippoglossoides elassodon flathead sole 320-74 1 #> 133 4 Fusitriton oregonensis Oregon triton 324-73 15 #> 134 4 Atheresthes evermanni Kamchatka flounder 324-73 5 #> 135 4 Podothecus accipenserinus sturgeon poacher 324-73 4 #> 136 5 Gorgonocephalus eucnemis basketstar 320-74 1 #> 137 7 Fusitriton oregonensis Oregon triton 320-74 9 #> 138 4 Sebastes polyspinis northern rockfish 324-73 1 #> 139 7 Pagurus trigonocheirus fuzzy hermit crab 320-74 5 #> 140 7 Thaliacea salp unid. 320-74 NA #> 141 4 Bathymaster signatus searcher 324-73 1 #> 142 7 Elassochirus cavimanus purple hermit 320-74 5 #> 143 4 Pagurus confragosus knobbyhand hermit 324-73 5 #> 144 7 Modiolus modiolus northern horsemussel 320-74 1 #> 145 5 Thaliacea salp unid. 320-74 NA #> 146 3 Ammodytes sp. sand lance unid. 320-73 2 #> 147 4 Pagurus aleuticus Aleutian hermit 324-73 3 #> 148 3 Fusitriton oregonensis Oregon triton 320-73 2 #> 149 7 Pagurus confragosus knobbyhand hermit 320-74 2 #> 150 4 Axinella blanca firm finger sponge 324-73 NA #> 151 7 Ceramaster patagonicus orange bat sea star 320-74 1 #> 152 3 Gorgonocephalus eucnemis basketstar 320-73 1 #> 153 4 Chaetopterus sp. parchment tubeworms 324-73 NA #> 154 5 Rajiformes egg case skate egg case unid. 320-74 4 #> 155 7 Alcyonidium pedunculatum fruit leather bryozoan 320-74 NA #> 156 4 Nudibranchia nudibranch unid. 324-73 1 #> 157 5 Ophiura sarsii notched brittlestar 320-74 6 #> 158 3 Ophiura sarsii notched brittlestar 320-73 5 #> 159 7 Metridium farcimen gigantic anemone 320-74 1 #> 160 4 Rajiformes egg case skate egg case unid. 324-73 NA #> 161 7 Hyas lyratus Pacific lyre crab 320-74 2 #> 162 4 Actiniaria sea anemone unid. 324-73 1 #> 163 4 Labidochirus splendescens splendid hermit 324-73 1 #> 164 7 Rajiformes egg case skate egg case unid. 320-74 NA #> 165 7 Styela rustica sea potato 320-74 NA #> weight_kg cpue_kgkm2 cpue_nokm2 #> 88 343.340 14793.441181 10470.10604 #> 89 136.844 6214.554539 13215.30627 #> 90 118.374 5100.363507 5730.55186 #> 91 67.768 3050.003623 3510.51060 #> 92 62.926 2832.081926 3105.45169 #> 93 59.940 2582.626156 3877.81705 #> 94 33.600 1447.718366 4437.94618 #> 95 28.166 1267.654380 1395.20293 #> 96 23.320 950.181635 5419.13196 #> 97 20.740 941.874405 454.13424 #> 98 20.212 823.545077 2200.24907 #> 99 20.080 911.901546 1861.95037 #> 100 17.950 773.409067 1163.34512 #> 101 15.040 683.017891 544.96108 #> 102 10.780 439.234907 448.19888 #> 103 10.220 464.125189 90.82685 #> 104 9.904 445.744834 1170.17020 #> 105 8.980 365.893271 448.19888 #> 106 8.680 353.669665 407.45353 #> 107 8.620 351.224944 244.47212 #> 108 8.320 374.454464 360.05237 #> 109 7.000 285.217472 244.47212 #> 110 6.612 269.408275 1181.61524 #> 111 6.080 273.639801 180.02618 #> 112 5.900 254.212451 43.08686 #> 113 5.562 226.625654 40.74535 #> 114 4.960 202.096951 40.74535 #> 115 4.320 186.135218 430.86856 #> 116 3.920 178.020621 272.48054 #> 117 3.870 166.746133 215.43428 #> 118 3.340 151.680835 317.89396 #> 119 2.540 114.316627 90.01309 #> 120 2.468 112.080329 90.82685 #> 121 2.240 91.269591 81.49071 #> 122 1.672 75.931244 363.30739 #> 123 1.508 68.483443 0.00000 #> 124 1.332 57.391692 43.08686 #> 125 1.320 59.408641 45.00655 #> 126 1.182 48.161007 162.98141 #> 127 1.072 43.679019 0.00000 #> 128 0.946 40.760166 43.08686 #> 129 0.910 40.955957 45.00655 #> 130 0.863 39.191785 90.82685 #> 131 0.754 33.934936 45.00655 #> 132 0.648 29.427898 45.41342 #> 133 0.500 20.372677 611.18030 #> 134 0.416 16.950067 203.72677 #> 135 0.360 14.668327 162.98141 #> 136 0.236 10.621545 45.00655 #> 137 0.226 10.263434 408.72081 #> 138 0.198 8.067580 40.74535 #> 139 0.186 8.446897 227.06712 #> 140 0.172 7.811109 0.00000 #> 141 0.152 6.193294 40.74535 #> 142 0.148 6.721187 227.06712 #> 143 0.142 5.785840 203.72677 #> 144 0.090 4.087208 45.41342 #> 145 0.088 3.960576 0.00000 #> 146 0.080 3.446948 86.17371 #> 147 0.066 2.689193 122.23606 #> 148 0.062 2.671385 86.17371 #> 149 0.060 2.724805 90.82685 #> 150 0.060 2.444721 0.00000 #> 151 0.058 2.633979 45.41342 #> 152 0.056 2.412864 43.08686 #> 153 0.054 2.200249 0.00000 #> 154 0.048 2.160314 180.02618 #> 155 0.044 1.998191 0.00000 #> 156 0.036 1.466833 40.74535 #> 157 0.032 1.440209 270.03928 #> 158 0.020 0.861737 215.43428 #> 159 0.020 0.908268 45.41342 #> 160 0.020 0.814907 0.00000 #> 161 0.018 0.817442 90.82685 #> 162 0.016 0.651926 40.74535 #> 163 0.008 0.325963 40.74535 #> 164 0.004 0.181654 0.00000 #> 165 0.002 0.090827 0.00000 #> #> $catch$`2018` #> haul scientific_name common_name station count #> 1 2 Gadus chalcogrammus walleye pollock 325-76 1616 #> 2 9 Atheresthes stomias arrowtooth flounder 320-74 1041 #> 3 1 Gadus chalcogrammus walleye pollock 324-73 489 #> 4 2 Porifera sponge unid. 325-76 NA #> 5 1 Atheresthes stomias arrowtooth flounder 324-73 357 #> 6 2 Mycale loveni lampshade sponge 325-76 NA #> 7 9 Lepidopsetta polyxystra northern rock sole 320-74 99 #> 8 2 Sebastes polyspinis northern rockfish 325-76 88 #> 9 2 Gadus macrocephalus Pacific cod 325-76 12 #> 10 9 Gadus chalcogrammus walleye pollock 320-74 35 #> 11 9 Gadus macrocephalus Pacific cod 320-74 9 #> 12 2 Atheresthes stomias arrowtooth flounder 325-76 33 #> 13 9 Hemilepidotus jordani yellow Irish lord 320-74 29 #> 14 9 Hippoglossus stenolepis Pacific halibut 320-74 9 #> 15 9 Bathyraja aleutica Aleutian skate 320-74 1 #> 16 1 Hippoglossus stenolepis Pacific halibut 324-73 11 #> 17 9 Sebastes alutus Pacific ocean perch 320-74 40 #> 18 1 Gadus macrocephalus Pacific cod 324-73 6 #> 19 2 Lepidopsetta polyxystra northern rock sole 325-76 54 #> 20 10 Gadus macrocephalus Pacific cod 320-73 4 #> 21 2 Pododesmus macrochisma abalone jingle 325-76 NA #> 22 2 Enteroctopus dofleini giant octopus 325-76 1 #> 23 10 Hippoglossus stenolepis Pacific halibut 320-73 6 #> 24 2 Hemilepidotus jordani yellow Irish lord 325-76 17 #> 25 2 Hexagrammos decagrammus kelp greenling 325-76 30 #> 26 1 Hippoglossoides elassodon flathead sole 324-73 37 #> 27 2 Hippoglossus stenolepis Pacific halibut 325-76 5 #> 28 9 Sebastes polyspinis northern rockfish 320-74 14 #> 29 9 Glyptocephalus zachirus rex sole 320-74 13 #> 30 9 Lepidopsetta bilineata southern rock sole 320-74 9 #> 31 1 Chionoecetes bairdi Tanner crab 324-73 25 #> 32 1 Glyptocephalus zachirus rex sole 324-73 24 #> 33 2 Pleurogrammus monopterygius Atka mackerel 325-76 10 #> 34 9 Enteroctopus dofleini giant octopus 320-74 1 #> 35 2 Tethya sp. ball sponge 325-76 NA #> 36 9 Hippoglossoides elassodon flathead sole 320-74 8 #> 37 10 Anarrhichthys ocellatus wolf-eel 320-73 1 #> 38 9 Pleurogrammus monopterygius Atka mackerel 320-74 3 #> 39 10 Lepidopsetta bilineata southern rock sole 320-73 7 #> 40 1 Arctoraja parmifera Alaska skate 324-73 1 #> 41 2 Fusitriton oregonensis Oregon triton 325-76 75 #> 42 9 Atheresthes evermanni Kamchatka flounder 320-74 3 #> 43 2 Hippoglossoides elassodon flathead sole 325-76 4 #> 44 2 Myoxocephalus polyacanthocephalus great sculpin 325-76 1 #> 45 2 Isodictya rigida orange finger sponge 325-76 NA #> 46 1 Pycnopodia helianthoides sunflower sea star 324-73 1 #> 47 2 Lepidopsetta bilineata southern rock sole 325-76 8 #> 48 2 Sebastes alutus Pacific ocean perch 325-76 30 #> 49 1 Myoxocephalus polyacanthocephalus great sculpin 324-73 1 #> 50 1 Bathyraja interrupta Bering skate 324-73 1 #> 51 2 Sebastes variabilis dusky rockfish 325-76 4 #> 52 2 Zaprora silenus prowfish 325-76 1 #> 53 10 Pleurogrammus monopterygius Atka mackerel 320-73 1 #> 54 2 Cucumaria fallax sea football 325-76 3 #> 55 1 Sebastes polyspinis northern rockfish 324-73 2 #> 56 1 Anoplopoma fimbria sablefish 324-73 2 #> 57 1 Hemilepidotus jordani yellow Irish lord 324-73 1 #> 58 2 Bathymaster signatus searcher 325-76 2 #> 59 10 Atheresthes stomias arrowtooth flounder 320-73 2 #> 60 1 Fusitriton oregonensis Oregon triton 324-73 21 #> 61 1 Thaliacea salp unid. 324-73 5 #> 62 1 Pagurus ochotensis Alaskan hermit 324-73 15 #> 63 1 Gorgonocephalus eucnemis basketstar 324-73 1 #> 64 2 Modiolus modiolus northern horsemussel 325-76 12 #> 65 1 Metridium farcimen gigantic anemone 324-73 3 #> 66 9 Scyphozoa jellyfish unid. 320-74 1 #> 67 1 Triglops macellus roughspine sculpin 324-73 5 #> 68 2 Crystallichthys cyclospilus blotched snailfish 325-76 1 #> 69 2 Ceramaster patagonicus orange bat sea star 325-76 4 #> 70 1 Lepidopsetta polyxystra northern rock sole 324-73 1 #> 71 2 Aphrocallistes vastus clay pipe sponge 325-76 NA #> 72 2 Gorgonocephalus eucnemis basketstar 325-76 2 #> 73 1 Sarritor frenatus sawback poacher 324-73 3 #> 74 2 Pteraster militaris wrinkled star 325-76 2 #> 75 2 Scyphozoa jellyfish unid. 325-76 2 #> 76 2 Elassochirus gilli Pacific red hermit 325-76 2 #> 77 2 Podothecus accipenserinus sturgeon poacher 325-76 1 #> 78 2 Doris odhneri white night doris 325-76 2 #> 79 1 Atheresthes evermanni Kamchatka flounder 324-73 1 #> 80 1 Oregonia gracilis graceful decorator crab 324-73 1 #> 81 1 Stomphia coccinea swimming anemone 324-73 1 #> 82 2 Pagurus brandti sponge hermit 325-76 2 #> 83 2 Sarritor frenatus sawback poacher 325-76 1 #> 84 1 Crossaster papposus rose sea star 324-73 1 #> 85 1 Pagurus capillatus hairy hermit crab 324-73 1 #> 86 2 Elassochirus tenuimanus widehand hermit crab 325-76 1 #> 87 1 Ciliatocardium ciliatum hairy cockle 324-73 1 #> weight_kg cpue_kgkm2 cpue_nokm2 #> 1 1211.290 56195.947836 74971.84960 #> 2 643.495 25096.701051 40599.64070 #> 3 399.642 15729.789050 19246.89308 #> 4 227.830 10569.824564 0.00000 #> 5 98.418 3873.702911 14051.41274 #> 6 75.420 3498.995605 0.00000 #> 7 50.810 1981.621272 3861.06093 #> 8 45.950 2131.780006 4082.62547 #> 9 42.680 1980.073355 556.72166 #> 10 28.595 1115.222599 1365.02154 #> 11 26.500 1033.516310 351.00554 #> 12 23.050 1069.369513 1530.98455 #> 13 20.740 808.872765 1131.01785 #> 14 18.849 735.122601 351.00554 #> 15 18.780 732.431559 39.00062 #> 16 18.470 726.973651 432.95670 #> 17 17.560 684.850808 1560.02462 #> 18 15.540 611.649731 236.15820 #> 19 13.025 604.274964 2505.24745 #> 20 11.950 534.815361 179.01769 #> 21 11.200 519.606878 0.00000 #> 22 11.130 516.359335 46.39347 #> 23 9.534 426.688674 268.52654 #> 24 9.350 433.778957 788.68901 #> 25 9.346 433.593383 1391.80414 #> 26 9.250 364.077221 1456.30888 #> 27 9.080 421.252719 231.96736 #> 28 8.980 350.225527 546.00862 #> 29 7.520 293.284628 507.00800 #> 30 7.370 287.434536 351.00554 #> 31 6.900 271.581927 983.99249 #> 32 6.170 242.849346 944.63279 #> 33 5.740 266.298525 463.93471 #> 34 5.380 209.823311 39.00062 #> 35 5.080 235.678834 0.00000 #> 36 4.875 190.128000 312.00492 #> 37 4.670 209.003158 44.75442 #> 38 4.300 167.702647 117.00185 #> 39 4.100 183.493136 313.28096 #> 40 3.580 140.907724 39.35970 #> 41 3.280 152.170586 3479.51035 #> 42 2.940 114.661809 117.00185 #> 43 2.914 135.190575 185.57388 #> 44 2.720 126.190242 46.39347 #> 45 2.600 120.623025 0.00000 #> 46 2.504 98.556688 39.35970 #> 47 2.259 104.802852 371.14777 #> 48 2.159 100.163505 1391.80414 #> 49 1.890 74.389832 39.35970 #> 50 1.850 72.815444 39.35970 #> 51 1.632 75.714145 185.57388 #> 52 1.592 73.858406 46.39347 #> 53 1.140 51.020043 44.75442 #> 54 0.994 46.115110 139.18041 #> 55 0.990 38.966103 78.71940 #> 56 0.974 38.336347 78.71940 #> 57 0.880 34.636536 39.35970 #> 58 0.756 35.073464 92.78694 #> 59 0.730 32.670729 89.50885 #> 60 0.634 24.954050 826.55369 #> 61 0.452 17.790584 196.79850 #> 62 0.442 17.396987 590.39549 #> 63 0.430 16.924671 39.35970 #> 64 0.375 17.397552 556.72166 #> 65 0.360 14.169492 118.07910 #> 66 0.295 11.505182 39.00062 #> 67 0.292 11.493032 196.79850 #> 68 0.222 10.299351 46.39347 #> 69 0.200 9.278694 185.57388 #> 70 0.174 6.848588 39.35970 #> 71 0.155 7.190988 0.00000 #> 72 0.145 6.727053 92.78694 #> 73 0.140 5.510358 118.07910 #> 74 0.100 4.639347 92.78694 #> 75 0.095 4.407380 92.78694 #> 76 0.085 3.943445 92.78694 #> 77 0.072 3.340330 46.39347 #> 78 0.055 2.551641 92.78694 #> 79 0.042 1.653107 39.35970 #> 80 0.042 1.653107 39.35970 #> 81 0.034 1.338230 39.35970 #> 82 0.030 1.391804 92.78694 #> 83 0.024 1.113443 46.39347 #> 84 0.014 0.551036 39.35970 #> 85 0.012 0.472316 39.35970 #> 86 0.005 0.231967 46.39347 #> 87 0.002 0.078719 39.35970 #> #> #> $catch_means #> scientific_name common_name station count #> 1 Gadus chalcogrammus walleye pollock 325-76 1616.0 #> 2 Porifera sponge unid. 325-76 NaN #> 3 Atheresthes stomias arrowtooth flounder 320-74 446.7 #> 4 Gadus chalcogrammus walleye pollock 324-73 249.5 #> 5 Gadus macrocephalus Pacific cod 320-73 123.5 #> 6 Mycale loveni lampshade sponge 325-76 NaN #> 7 Hippoglossus stenolepis Pacific halibut 320-73 69.5 #> 8 Atheresthes stomias arrowtooth flounder 324-73 205.5 #> 9 Sebastes polyspinis northern rockfish 325-76 88.0 #> 10 Gadus macrocephalus Pacific cod 325-76 12.0 #> 11 Lepidopsetta polyxystra northern rock sole 320-73 103.0 #> 12 Lepidopsetta bilineata southern rock sole 320-73 48.5 #> 13 Lepidopsetta polyxystra northern rock sole 320-74 55.3 #> 14 Hippoglossoides elassodon flathead sole 320-74 29.0 #> 15 Lepidopsetta bilineata southern rock sole 320-74 26.7 #> 16 Atheresthes stomias arrowtooth flounder 325-76 33.0 #> 17 Hippoglossus stenolepis Pacific halibut 320-74 17.3 #> 18 Gadus macrocephalus Pacific cod 320-74 7.7 #> 19 Bathyraja aleutica Aleutian skate 320-74 1.0 #> 20 Sebastes alutus Pacific ocean perch 320-74 40.0 #> 21 Hippoglossoides elassodon flathead sole 324-73 85.0 #> 22 Lepidopsetta polyxystra northern rock sole 325-76 54.0 #> 23 Hippoglossus stenolepis Pacific halibut 324-73 11.0 #> 24 Gadus chalcogrammus walleye pollock 320-74 18.0 #> 25 Pododesmus macrochisma abalone jingle 325-76 NaN #> 26 Enteroctopus dofleini giant octopus 325-76 1.0 #> 27 Hemilepidotus jordani yellow Irish lord 325-76 17.0 #> 28 Hexagrammos decagrammus kelp greenling 325-76 30.0 #> 29 Hippoglossus stenolepis Pacific halibut 325-76 5.0 #> 30 Atheresthes stomias arrowtooth flounder 320-73 14.5 #> 31 Hemilepidotus jordani yellow Irish lord 320-74 12.3 #> 32 Gadus macrocephalus Pacific cod 324-73 4.0 #> 33 Lepidopsetta bilineata southern rock sole 324-73 6.0 #> 34 Enteroctopus dofleini giant octopus 320-74 1.5 #> 35 Parophrys vetulus English sole 324-73 6.0 #> 36 Chionoecetes bairdi Tanner crab 324-73 25.0 #> 37 Pleurogrammus monopterygius Atka mackerel 325-76 10.0 #> 38 Glyptocephalus zachirus rex sole 324-73 26.5 #> 39 Tethya sp. ball sponge 325-76 NaN #> 40 Anarrhichthys ocellatus wolf-eel 320-73 1.0 #> 41 Enteroctopus dofleini giant octopus 324-73 1.0 #> 42 Glyptocephalus zachirus rex sole 320-74 10.0 #> 43 Anoplopoma fimbria sablefish 324-73 6.5 #> 44 Sebastes polyspinis northern rockfish 320-74 8.0 #> 45 Clupea pallasii Pacific herring 320-73 10.0 #> 46 Fusitriton oregonensis Oregon triton 325-76 75.0 #> 47 Arctoraja parmifera Alaska skate 324-73 1.0 #> 48 Myoxocephalus polyacanthocephalus great sculpin 324-73 1.0 #> 49 Hippoglossoides elassodon flathead sole 325-76 4.0 #> 50 Myoxocephalus polyacanthocephalus great sculpin 325-76 1.0 #> 51 Isodictya rigida orange finger sponge 325-76 NaN #> 52 Pleurogrammus monopterygius Atka mackerel 320-73 3.0 #> 53 Lepidopsetta bilineata southern rock sole 325-76 8.0 #> 54 Pleurogrammus monopterygius Atka mackerel 320-74 2.0 #> 55 Sebastes alutus Pacific ocean perch 325-76 30.0 #> 56 Pycnopodia helianthoides sunflower sea star 324-73 1.0 #> 57 Atheresthes evermanni Kamchatka flounder 320-74 5.5 #> 58 Sebastes variabilis dusky rockfish 325-76 4.0 #> 59 Zaprora silenus prowfish 325-76 1.0 #> 60 Bathyraja interrupta Bering skate 324-73 1.0 #> 61 Chirona evermanni giant barnacle 320-74 NaN #> 62 Pycnopodia helianthoides sunflower sea star 320-74 1.0 #> 63 Hemilepidotus jordani yellow Irish lord 320-73 1.0 #> 64 Cucumaria fallax sea football 325-76 3.0 #> 65 Hippoglossoides elassodon flathead sole 320-73 1.0 #> 66 Bathymaster signatus searcher 325-76 2.0 #> 67 Hemilepidotus jordani yellow Irish lord 324-73 1.0 #> 68 Gorgonocephalus eucnemis basketstar 324-73 2.5 #> 69 Thaliacea salp unid. 324-73 5.0 #> 70 Sebastes polyspinis northern rockfish 324-73 1.5 #> 71 Fusitriton oregonensis Oregon triton 324-73 18.0 #> 72 Modiolus modiolus northern horsemussel 325-76 12.0 #> 73 Pagurus ochotensis Alaskan hermit 324-73 15.0 #> 74 Podothecus accipenserinus sturgeon poacher 324-73 4.0 #> 75 Metridium farcimen gigantic anemone 324-73 3.0 #> 76 Scyphozoa jellyfish unid. 320-74 1.0 #> 77 Triglops macellus roughspine sculpin 324-73 5.0 #> 78 Gorgonocephalus eucnemis basketstar 320-74 1.0 #> 79 Crystallichthys cyclospilus blotched snailfish 325-76 1.0 #> 80 Fusitriton oregonensis Oregon triton 320-74 9.0 #> 81 Atheresthes evermanni Kamchatka flounder 324-73 3.0 #> 82 Ceramaster patagonicus orange bat sea star 325-76 4.0 #> 83 Pagurus trigonocheirus fuzzy hermit crab 320-74 5.0 #> 84 Aphrocallistes vastus clay pipe sponge 325-76 NaN #> 85 Lepidopsetta polyxystra northern rock sole 324-73 1.0 #> 86 Gorgonocephalus eucnemis basketstar 325-76 2.0 #> 87 Elassochirus cavimanus purple hermit 320-74 5.0 #> 88 Bathymaster signatus searcher 324-73 1.0 #> 89 Thaliacea salp unid. 320-74 NaN #> 90 Pagurus confragosus knobbyhand hermit 324-73 5.0 #> 91 Sarritor frenatus sawback poacher 324-73 3.0 #> 92 Pteraster militaris wrinkled star 325-76 2.0 #> 93 Scyphozoa jellyfish unid. 325-76 2.0 #> 94 Modiolus modiolus northern horsemussel 320-74 1.0 #> 95 Elassochirus gilli Pacific red hermit 325-76 2.0 #> 96 Ammodytes sp. sand lance unid. 320-73 2.0 #> 97 Podothecus accipenserinus sturgeon poacher 325-76 1.0 #> 98 Pagurus confragosus knobbyhand hermit 320-74 2.0 #> 99 Pagurus aleuticus Aleutian hermit 324-73 3.0 #> 100 Fusitriton oregonensis Oregon triton 320-73 2.0 #> 101 Ceramaster patagonicus orange bat sea star 320-74 1.0 #> 102 Doris odhneri white night doris 325-76 2.0 #> 103 Axinella blanca firm finger sponge 324-73 NaN #> 104 Gorgonocephalus eucnemis basketstar 320-73 1.0 #> 105 Chaetopterus sp. parchment tubeworms 324-73 NaN #> 106 Alcyonidium pedunculatum fruit leather bryozoan 320-74 NaN #> 107 Oregonia gracilis graceful decorator crab 324-73 1.0 #> 108 Nudibranchia nudibranch unid. 324-73 1.0 #> 109 Ophiura sarsii notched brittlestar 320-74 6.0 #> 110 Pagurus brandti sponge hermit 325-76 2.0 #> 111 Stomphia coccinea swimming anemone 324-73 1.0 #> 112 Rajiformes egg case skate egg case unid. 320-74 4.0 #> 113 Sarritor frenatus sawback poacher 325-76 1.0 #> 114 Metridium farcimen gigantic anemone 320-74 1.0 #> 115 Ophiura sarsii notched brittlestar 320-73 5.0 #> 116 Hyas lyratus Pacific lyre crab 320-74 2.0 #> 117 Rajiformes egg case skate egg case unid. 324-73 NaN #> 118 Actiniaria sea anemone unid. 324-73 1.0 #> 119 Crossaster papposus rose sea star 324-73 1.0 #> 120 Pagurus capillatus hairy hermit crab 324-73 1.0 #> 121 Labidochirus splendescens splendid hermit 324-73 1.0 #> 122 Elassochirus tenuimanus widehand hermit crab 325-76 1.0 #> 123 Styela rustica sea potato 320-74 NaN #> 124 Ciliatocardium ciliatum hairy cockle 324-73 1.0 #> weight_kg cpue_kgkm2 cpue_nokm2 Freq #> 1 1211.29 56195.95 74971.85 5 #> 2 227.83 10569.82 0.00 1 #> 3 262.89 10561.90 18058.33 8 #> 4 204.16 8041.73 9827.17 5 #> 5 177.64 7664.13 5324.56 8 #> 6 75.42 3499.00 0.00 1 #> 7 63.95 2763.53 2999.54 8 #> 8 59.32 2348.62 8125.83 8 #> 9 45.95 2131.78 4082.63 5 #> 10 42.68 1980.07 556.72 8 #> 11 33.60 1447.72 4437.95 6 #> 12 32.02 1383.06 2095.55 7 #> 13 26.93 1113.09 2297.73 6 #> 14 24.43 1089.85 1289.31 7 #> 15 24.25 1077.20 1182.43 7 #> 16 23.05 1069.37 1530.98 8 #> 17 20.68 895.26 763.72 8 #> 18 17.77 749.68 328.39 8 #> 19 18.78 732.43 39.00 1 #> 20 17.56 684.85 1560.02 2 #> 21 16.28 657.13 3437.72 7 #> 22 13.03 604.27 2505.25 6 #> 23 14.62 583.10 440.58 8 #> 24 14.67 574.58 705.01 5 #> 25 11.20 519.61 0.00 1 #> 26 11.13 516.36 46.39 4 #> 27 9.35 433.78 788.69 6 #> 28 9.35 433.59 1391.80 1 #> 29 9.08 421.25 231.97 8 #> 30 9.34 403.04 626.43 8 #> 31 9.07 367.07 497.84 6 #> 32 8.89 351.46 158.82 8 #> 33 8.62 351.22 244.47 7 #> 34 7.80 336.97 64.91 4 #> 35 7.00 285.22 244.47 1 #> 36 6.90 271.58 983.99 1 #> 37 5.74 266.30 463.93 5 #> 38 6.39 256.13 1063.12 4 #> 39 5.08 235.68 0.00 1 #> 40 5.28 231.61 43.92 2 #> 41 5.56 226.63 40.75 4 #> 42 5.43 222.48 412.45 4 #> 43 4.98 202.11 263.46 2 #> 44 4.92 194.71 318.42 5 #> 45 4.32 186.14 430.87 1 #> 46 3.28 152.17 3479.51 5 #> 47 3.58 140.91 39.36 1 #> 48 3.42 138.24 40.05 3 #> 49 2.91 135.19 185.57 7 #> 50 2.72 126.19 46.39 3 #> 51 2.60 120.62 0.00 1 #> 52 2.50 108.88 130.09 5 #> 53 2.26 104.80 371.15 7 #> 54 2.60 104.33 81.00 5 #> 55 2.16 100.16 1391.80 2 #> 56 2.50 98.56 39.36 2 #> 57 2.31 95.30 240.15 4 #> 58 1.63 75.71 185.57 1 #> 59 1.59 73.86 46.39 1 #> 60 1.85 72.82 39.36 1 #> 61 1.51 68.48 0.00 1 #> 62 1.32 59.41 45.01 2 #> 63 1.33 57.39 43.09 6 #> 64 0.99 46.12 139.18 1 #> 65 0.95 40.76 43.09 7 #> 66 0.76 35.07 92.79 2 #> 67 0.88 34.64 39.36 6 #> 68 0.81 32.54 101.17 5 #> 69 0.76 30.73 98.40 4 #> 70 0.59 23.52 59.73 5 #> 71 0.57 22.66 718.87 5 #> 72 0.38 17.40 556.72 2 #> 73 0.44 17.40 590.40 1 #> 74 0.36 14.67 162.98 2 #> 75 0.36 14.17 118.08 2 #> 76 0.30 11.51 39.00 2 #> 77 0.29 11.49 196.80 1 #> 78 0.24 10.62 45.01 5 #> 79 0.22 10.30 46.39 1 #> 80 0.23 10.26 408.72 5 #> 81 0.23 9.30 121.54 4 #> 82 0.20 9.28 185.57 2 #> 83 0.19 8.45 227.07 1 #> 84 0.16 7.19 0.00 1 #> 85 0.17 6.85 39.36 6 #> 86 0.14 6.73 92.79 5 #> 87 0.15 6.72 227.07 1 #> 88 0.15 6.19 40.75 2 #> 89 0.13 5.89 0.00 4 #> 90 0.14 5.79 203.73 2 #> 91 0.14 5.51 118.08 2 #> 92 0.10 4.64 92.79 1 #> 93 0.10 4.41 92.79 2 #> 94 0.09 4.09 45.41 2 #> 95 0.09 3.94 92.79 1 #> 96 0.08 3.45 86.17 1 #> 97 0.07 3.34 46.39 2 #> 98 0.06 2.72 90.83 2 #> 99 0.07 2.69 122.24 1 #> 100 0.06 2.67 86.17 5 #> 101 0.06 2.63 45.41 2 #> 102 0.06 2.55 92.79 1 #> 103 0.06 2.44 0.00 1 #> 104 0.06 2.41 43.09 5 #> 105 0.05 2.20 0.00 1 #> 106 0.04 2.00 0.00 1 #> 107 0.04 1.65 39.36 1 #> 108 0.04 1.47 40.75 1 #> 109 0.03 1.44 270.04 2 #> 110 0.03 1.39 92.79 1 #> 111 0.03 1.34 39.36 1 #> 112 0.03 1.17 90.01 3 #> 113 0.02 1.11 46.39 2 #> 114 0.02 0.91 45.41 2 #> 115 0.02 0.86 215.43 2 #> 116 0.02 0.82 90.83 1 #> 117 0.02 0.81 0.00 3 #> 118 0.02 0.65 40.75 1 #> 119 0.01 0.55 39.36 1 #> 120 0.01 0.47 39.36 1 #> 121 0.01 0.33 40.75 1 #> 122 0.00 0.23 46.39 1 #> 123 0.00 0.09 0.00 1 #> 124 0.00 0.08 39.36 1 #> #> $haul #> year station haul stratum vessel_name date_time #> 1 2016 320-73 3 721 ALASKA PROVIDER 2016-06-07 15:15:11 #> 2 2016 320-74 7 722 SEA STORM 2016-06-08 09:23:26 #> 3 2016 320-74 5 721 SEA STORM 2016-06-07 18:04:38 #> 4 2016 324-73 4 721 SEA STORM 2016-06-07 16:05:45 #> 5 2018 320-73 10 721 SEA STORM 2018-06-11 17:28:48 #> 6 2018 320-74 9 722 SEA STORM 2018-06-11 15:08:22 #> 7 2018 324-73 1 721 OCEAN EXPLORER 2018-06-09 07:27:06 #> 8 2018 325-76 2 721 OCEAN EXPLORER 2018-06-09 11:58:02 #> latitude_dd_start longitude_dd_start bottom_temperature_c #> 1 54.20566 -166.0491 6.3 #> 2 54.25784 -166.0004 6.2 #> 3 54.22642 -166.0167 6.4 #> 4 54.21666 -165.7556 6.4 #> 5 54.21682 -166.0323 5.6 #> 6 54.24662 -166.0222 4.5 #> 7 54.21011 -165.7440 5.3 #> 8 54.35293 -165.5989 5.0 #> surface_temperature_c depth_m distance_fished_km net_width_m net_height_m #> 1 7.1 61 1.526 15.209 5.907 #> 2 6.9 110 1.441 15.281 7.178 #> 3 7.4 74 1.515 14.666 7.647 #> 4 7.6 93 1.436 17.091 6.704 #> 5 5.8 63 1.436 15.560 6.568 #> 6 7.0 109 1.451 17.671 6.146 #> 7 NA 96 1.549 16.402 4.755 #> 8 6.2 83 1.321 16.317 5.575 #> area_swept_km2 duration_hr total_weight_kg #> 1 0.023209 0.272 590.05 #> 2 0.022020 0.265 410.23 #> 3 0.022219 0.274 410.23 #> 4 0.024543 0.269 111.26 #> 5 0.022344 0.294 32.12 #> 6 0.025641 0.269 867.17 #> 7 0.025407 0.274 571.17 #> 8 0.021555 0.239 1735.27 #> ## for default 10 years and nearby stations for all species (a typical use-case) ---- get_catch_haul_history( survey = \"AI\", years = NA, # default station = \"324-73\", grid_buffer = 3) #> $catch #> $catch$`2000` #> haul scientific_name common_name #> 789 6 Gadus chalcogrammus walleye pollock #> 790 7 Gadus chalcogrammus walleye pollock #> 791 10 Lepidopsetta bilineata southern rock sole #> 792 7 Atheresthes stomias arrowtooth flounder #> 793 7 Gadus macrocephalus Pacific cod #> 794 6 Gadus macrocephalus Pacific cod #> 795 9 Hippoglossus stenolepis Pacific halibut #> 796 9 Lepidopsetta bilineata southern rock sole #> 797 10 Gadus macrocephalus Pacific cod #> 798 7 Hippoglossus stenolepis Pacific halibut #> 799 7 Lepidopsetta polyxystra northern rock sole #> 800 10 Atheresthes stomias arrowtooth flounder #> 801 10 Lepidopsetta polyxystra northern rock sole #> 802 6 Hippoglossoides elassodon flathead sole #> 803 7 Hemilepidotus jordani yellow Irish lord #> 804 10 Hippoglossus stenolepis Pacific halibut #> 805 6 Atheresthes stomias arrowtooth flounder #> 806 9 Lepidopsetta polyxystra northern rock sole #> 807 6 Glyptocephalus zachirus rex sole #> 808 6 Chionoecetes bairdi Tanner crab #> 809 7 Hippoglossoides elassodon flathead sole #> 810 7 Arctoraja parmifera Alaska skate #> 811 10 Gadus chalcogrammus walleye pollock #> 812 7 Lepidopsetta bilineata southern rock sole #> 813 6 Arctoraja parmifera Alaska skate #> 814 6 Myoxocephalus polyacanthocephalus great sculpin #> 815 6 Sebastes variabilis dusky rockfish #> 816 7 Squalus suckleyi spiny dogfish #> 817 6 Lepidopsetta polyxystra northern rock sole #> 818 6 Lepidopsetta bilineata southern rock sole #> 819 7 Pleurogrammus monopterygius Atka mackerel #> 820 6 Hippoglossus stenolepis Pacific halibut #> 821 6 Hemilepidotus jordani yellow Irish lord #> 822 6 Pycnopodia helianthoides sunflower sea star #> 823 7 Sebastes variabilis dusky rockfish #> 824 10 Glyptocephalus zachirus rex sole #> 825 7 Lethasterias nanimensis blackspined sea star #> 826 10 Strongylocentrotus droebachiensis green sea urchin #> 827 9 Hemilepidotus jordani yellow Irish lord #> 828 9 Strongylocentrotus droebachiensis green sea urchin #> 829 10 Lethasterias nanimensis blackspined sea star #> 830 6 Berryteuthis magister magistrate armhook squid #> 831 7 Triglops forficatus scissortail sculpin #> 832 10 Gymnocanthus galeatus armorhead sculpin #> 833 6 Podothecus accipenserinus sturgeon poacher #> 834 7 Strongylocentrotus droebachiensis green sea urchin #> 835 7 Gymnocanthus galeatus armorhead sculpin #> 836 10 Berryteuthis magister magistrate armhook squid #> 837 6 Sebastes alutus Pacific ocean perch #> 838 9 Gymnocanthus galeatus armorhead sculpin #> 839 10 Hippoglossoides elassodon flathead sole #> 840 9 Gorgonocephalus eucnemis basketstar #> 841 6 Strongylocentrotus droebachiensis green sea urchin #> 842 6 Gymnocanthus galeatus armorhead sculpin #> 843 6 Fusitriton oregonensis Oregon triton #> 844 6 Microstomus pacificus Dover sole #> 845 7 Pododesmus macrochisma abalone jingle #> 846 6 Tethya sp. ball sponge #> 847 6 Annelida worm unid. #> 848 10 Ophiura sarsii notched brittlestar #> 849 10 Sarritor frenatus sawback poacher #> 850 10 Pagurus aleuticus Aleutian hermit #> 851 10 Echinarachnius parma parma sand dollar #> 852 6 Sarritor frenatus sawback poacher #> 853 7 Pagurus brandti sponge hermit #> 854 7 Ophiura sarsii notched brittlestar #> 855 6 Gorgonocephalus eucnemis basketstar #> 856 7 Sebastes sp. white spotted red rockfish unid. #> 857 9 Gadus chalcogrammus walleye pollock #> 858 9 Ophiura sarsii notched brittlestar #> 859 6 Dasycottus setiger spinyhead sculpin #> 860 6 Pagurus tanneri longhand hermit #> 861 9 Hydroidolina hydroid unid. #> station count weight_kg cpue_kgkm2 cpue_nokm2 #> 789 324-73 550 807.500 32352.618298 22035.83909 #> 790 326-76 735 565.000 28200.333573 36685.38969 #> 791 321-74 241 151.400 6440.030435 10249.43655 #> 792 326-76 303 143.200 7147.411978 15123.36473 #> 793 326-76 37 108.000 5390.506240 1846.74751 #> 794 324-73 49 91.000 3645.929740 1963.19294 #> 795 320-74 32 57.108 2232.974886 1251.22919 #> 796 320-74 76 54.390 2126.698607 2971.66932 #> 797 321-74 22 52.600 2192.356271 907.83822 #> 798 326-76 23 47.061 2348.913094 1147.97818 #> 799 326-76 85 44.000 2196.132172 4242.52806 #> 800 321-74 100 43.900 1783.350027 4062.30074 #> 801 321-74 98 43.700 1823.509944 4075.26842 #> 802 324-73 202 38.368 1537.220135 8093.16272 #> 803 326-76 42 33.700 1682.037595 2096.30798 #> 804 321-74 33 28.157 1180.657219 1399.44280 #> 805 324-73 164 21.900 877.427047 6570.68656 #> 806 320-74 44 20.810 813.689980 1720.44013 #> 807 324-73 76 12.600 504.821041 3044.95231 #> 808 324-73 20 12.200 488.794976 801.30324 #> 809 326-76 17 11.900 593.953928 848.50561 #> 810 326-76 1 9.200 459.191272 49.91210 #> 811 321-74 8 8.818 374.701076 339.11611 #> 812 326-76 8 8.600 429.244015 399.29676 #> 813 324-73 2 7.152 286.546038 80.13032 #> 814 324-73 6 7.120 285.263953 240.39097 #> 815 324-73 9 3.980 159.459345 360.58646 #> 816 326-76 1 3.100 154.727494 49.91210 #> 817 324-73 5 2.584 103.528379 200.32581 #> 818 324-73 2 2.388 95.675607 80.13032 #> 819 326-76 2 2.262 112.901158 99.82419 #> 820 324-73 2 1.872 75.001983 80.13032 #> 821 324-73 3 1.828 73.239116 120.19549 #> 822 324-73 1 1.722 68.992209 40.06516 #> 823 326-76 1 1.602 79.959176 49.91210 #> 824 321-74 2 0.914 37.129429 81.24601 #> 825 326-76 5 0.878 43.822819 249.56047 #> 826 321-74 15 0.770 31.279716 609.34511 #> 827 320-74 1 0.632 24.711776 39.10091 #> 828 320-74 7 0.550 21.505502 273.70638 #> 829 321-74 1 0.488 20.973435 42.97835 #> 830 324-73 2 0.428 17.147889 80.13032 #> 831 326-76 5 0.428 21.362377 249.56047 #> 832 321-74 2 0.424 17.224155 81.24601 #> 833 324-73 5 0.392 15.705543 200.32581 #> 834 326-76 4 0.330 16.470991 199.64838 #> 835 326-76 1 0.282 14.075211 49.91210 #> 836 321-74 2 0.226 9.180800 81.24601 #> 837 324-73 2 0.220 8.814336 80.13032 #> 838 320-74 2 0.214 8.367595 78.20182 #> 839 321-74 1 0.210 8.530832 40.62301 #> 840 320-74 1 0.182 7.116366 39.10091 #> 841 324-73 1 0.178 7.131599 40.06516 #> 842 324-73 1 0.172 6.891208 40.06516 #> 843 324-73 5 0.158 6.330296 200.32581 #> 844 324-73 1 0.122 4.887950 40.06516 #> 845 326-76 2 0.102 5.091034 99.82419 #> 846 324-73 1 0.088 3.525734 40.06516 #> 847 324-73 NA 0.084 3.365474 0.00000 #> 848 321-74 18 0.074 3.180398 773.61030 #> 849 321-74 1 0.060 2.437380 40.62301 #> 850 321-74 1 0.048 1.949904 40.62301 #> 851 321-74 2 0.042 1.805091 85.95670 #> 852 324-73 1 0.042 1.682737 40.06516 #> 853 326-76 2 0.042 2.096308 99.82419 #> 854 326-76 4 0.032 1.597187 199.64838 #> 855 324-73 1 0.030 1.201955 40.06516 #> 856 326-76 2 0.028 1.397539 99.82419 #> 857 320-74 1 0.016 0.625615 39.10091 #> 858 320-74 1 0.014 0.547413 39.10091 #> 859 324-73 1 0.008 0.320521 40.06516 #> 860 324-73 1 0.004 0.160261 40.06516 #> 861 320-74 NA 0.001 0.039101 0.00000 #> #> $catch$`2002` #> haul scientific_name common_name station count #> 725 23 Gadus chalcogrammus walleye pollock 321-74 4153 #> 726 23 Lepidopsetta bilineata southern rock sole 321-74 176 #> 727 28 Hippoglossus stenolepis Pacific halibut 320-74 49 #> 728 28 Gadus macrocephalus Pacific cod 320-74 41 #> 729 23 Atheresthes stomias arrowtooth flounder 321-74 85 #> 730 16 Gadus chalcogrammus walleye pollock 324-73 50 #> 731 28 Lepidopsetta bilineata southern rock sole 320-74 63 #> 732 27 Lepidopsetta bilineata southern rock sole 320-73 25 #> 733 16 Atheresthes stomias arrowtooth flounder 324-73 154 #> 734 23 Hippoglossus stenolepis Pacific halibut 321-74 13 #> 735 23 Gadus macrocephalus Pacific cod 321-74 15 #> 736 16 Somniosus pacificus Pacific sleeper shark 324-73 1 #> 737 28 Lepidopsetta polyxystra northern rock sole 320-74 50 #> 738 16 Gadus macrocephalus Pacific cod 324-73 15 #> 739 16 Glyptocephalus zachirus rex sole 324-73 47 #> 740 28 Atheresthes stomias arrowtooth flounder 320-74 47 #> 741 27 Hippoglossus stenolepis Pacific halibut 320-73 16 #> 742 16 Hippoglossoides elassodon flathead sole 324-73 85 #> 743 16 Hippoglossus stenolepis Pacific halibut 324-73 3 #> 744 27 Atheresthes stomias arrowtooth flounder 320-73 38 #> 745 23 Lepidopsetta polyxystra northern rock sole 321-74 10 #> 746 28 Hemilepidotus jordani yellow Irish lord 320-74 8 #> 747 16 Chionoecetes bairdi Tanner crab 324-73 9 #> 748 27 Myoxocephalus polyacanthocephalus great sculpin 320-73 1 #> 749 28 Myoxocephalus polyacanthocephalus great sculpin 320-74 1 #> 750 27 Lepidopsetta polyxystra northern rock sole 320-73 7 #> 751 27 Gadus macrocephalus Pacific cod 320-73 2 #> 752 28 Metridium farcimen gigantic anemone 320-74 13 #> 753 16 Lepidopsetta bilineata southern rock sole 324-73 2 #> 754 27 Hemilepidotus jordani yellow Irish lord 320-73 3 #> 755 28 Sebastes variabilis dusky rockfish 320-74 2 #> 756 27 Gadus chalcogrammus walleye pollock 320-73 3 #> 757 16 Myoxocephalus polyacanthocephalus great sculpin 324-73 1 #> 758 28 Hexagrammos decagrammus kelp greenling 320-74 2 #> 759 28 Scyphozoa jellyfish unid. 320-74 NA #> 760 23 Sebastes ciliatus dark rockfish 321-74 1 #> 761 27 Pleurogrammus monopterygius Atka mackerel 320-73 3 #> 762 28 Porifera sponge unid. 320-74 NA #> 763 23 Limanda aspera yellowfin sole 321-74 1 #> 764 23 Hippoglossoides elassodon flathead sole 321-74 2 #> 765 23 Pleurogrammus monopterygius Atka mackerel 321-74 2 #> 766 16 Podothecus accipenserinus sturgeon poacher 324-73 14 #> 767 27 Lethasterias nanimensis blackspined sea star 320-73 3 #> 768 16 Lepidopsetta polyxystra northern rock sole 324-73 1 #> 769 16 Axinella blanca firm finger sponge 324-73 NA #> 770 16 Hemilepidotus jordani yellow Irish lord 324-73 1 #> 771 16 Sebastes variabilis dusky rockfish 324-73 1 #> 772 27 Strongylocentrotus droebachiensis green sea urchin 320-73 7 #> 773 23 Gymnocanthus galeatus armorhead sculpin 321-74 1 #> 774 16 Monanchora pulchra yellow leafy sponge 324-73 NA #> 775 16 Sebastes polyspinis northern rockfish 324-73 1 #> 776 28 Strongylocentrotus droebachiensis green sea urchin 320-74 2 #> 777 23 Echinarachnius parma parma sand dollar 321-74 4 #> 778 28 Thaliacea salp unid. 320-74 NA #> 779 16 Fusitriton oregonensis Oregon triton 324-73 2 #> 780 27 Podothecus accipenserinus sturgeon poacher 320-73 1 #> 781 23 Podothecus accipenserinus sturgeon poacher 321-74 1 #> 782 16 Mycale loveni lampshade sponge 324-73 1 #> 783 28 Fusitriton oregonensis Oregon triton 320-74 1 #> 784 28 Ammodytes sp. sand lance unid. 320-74 1 #> 785 28 Cucumaria fallax sea football 320-74 1 #> 786 27 Ophiura sarsii notched brittlestar 320-73 1 #> 787 27 Porifera sponge unid. 320-73 NA #> 788 16 Argis lar kuro argid 324-73 1 #> weight_kg cpue_kgkm2 cpue_nokm2 #> 725 3769.262 1.706609e+05 188035.45734 #> 726 171.600 7.769536e+03 7968.75523 #> 727 64.400 3.002039e+03 2284.16036 #> 728 56.900 2.652423e+03 1911.23622 #> 729 49.000 2.218574e+03 3848.54656 #> 730 45.400 1.950869e+03 2148.53465 #> 731 35.900 1.673497e+03 2936.77761 #> 732 30.300 1.584891e+03 1307.66570 #> 733 29.800 1.280527e+03 6617.48671 #> 734 27.204 1.231716e+03 588.60124 #> 735 27.100 1.227007e+03 679.15528 #> 736 25.800 1.108644e+03 42.97069 #> 737 25.200 1.174711e+03 2330.77588 #> 738 19.100 8.207402e+02 644.56039 #> 739 17.500 7.519871e+02 2019.62257 #> 740 17.200 8.017869e+02 2190.92933 #> 741 16.832 8.804252e+02 836.90605 #> 742 16.800 7.219076e+02 3652.50890 #> 743 16.774 7.207904e+02 128.91208 #> 744 13.900 7.270621e+02 1987.65187 #> 745 6.300 2.852452e+02 452.77018 #> 746 5.796 2.701835e+02 372.92414 #> 747 5.086 2.185489e+02 386.73624 #> 748 4.456 2.330783e+02 52.30663 #> 749 2.780 1.295911e+02 46.61552 #> 750 2.682 1.402864e+02 366.14640 #> 751 2.574 1.346373e+02 104.61326 #> 752 2.102 9.798582e+01 606.00173 #> 753 2.102 9.032440e+01 85.94139 #> 754 1.846 9.655804e+01 156.91988 #> 755 1.836 8.558609e+01 93.23104 #> 756 1.638 8.567826e+01 156.91988 #> 757 1.458 6.265127e+01 42.97069 #> 758 1.442 6.721958e+01 93.23104 #> 759 1.436 6.693988e+01 0.00000 #> 760 1.326 6.003733e+01 45.27702 #> 761 1.308 6.841707e+01 156.91988 #> 762 1.132 5.276877e+01 0.00000 #> 763 0.996 4.509591e+01 45.27702 #> 764 0.962 4.355649e+01 90.55404 #> 765 0.920 4.165486e+01 90.55404 #> 766 0.904 3.884551e+01 601.58970 #> 767 0.786 4.111301e+01 156.91988 #> 768 0.406 1.744610e+01 42.97069 #> 769 0.345 1.482489e+01 0.00000 #> 770 0.312 1.340686e+01 42.97069 #> 771 0.294 1.263338e+01 42.97069 #> 772 0.180 9.415193e+00 366.14640 #> 773 0.150 6.791553e+00 45.27702 #> 774 0.144 6.187780e+00 0.00000 #> 775 0.140 6.015897e+00 42.97069 #> 776 0.126 5.873555e+00 93.23104 #> 777 0.126 5.704904e+00 181.10807 #> 778 0.116 5.407400e+00 0.00000 #> 779 0.102 4.383011e+00 85.94139 #> 780 0.056 2.929171e+00 52.30663 #> 781 0.054 2.444959e+00 45.27702 #> 782 0.054 2.320417e+00 42.97069 #> 783 0.050 2.330776e+00 46.61552 #> 784 0.020 9.323100e-01 46.61552 #> 785 0.016 7.458480e-01 46.61552 #> 786 0.010 5.230660e-01 52.30663 #> 787 0.004 2.092270e-01 0.00000 #> 788 0.004 1.718830e-01 42.97069 #> #> $catch$`2004` #> haul scientific_name common_name station count #> 639 4 Pleurogrammus monopterygius Atka mackerel 326-76 10363 #> 640 5 Gadus chalcogrammus walleye pollock 324-73 777 #> 641 7 Gadus macrocephalus Pacific cod 320-74 96 #> 642 1 Atheresthes stomias arrowtooth flounder 321-74 346 #> 643 7 Hippoglossus stenolepis Pacific halibut 320-74 107 #> 644 6 Lepidopsetta bilineata southern rock sole 320-73 127 #> 645 6 Lepidopsetta polyxystra northern rock sole 320-73 217 #> 646 4 Gadus macrocephalus Pacific cod 326-76 12 #> 647 7 Lepidopsetta bilineata southern rock sole 320-74 93 #> 648 5 Atheresthes stomias arrowtooth flounder 324-73 240 #> 649 1 Lepidopsetta bilineata southern rock sole 321-74 91 #> 650 4 Hippoglossus stenolepis Pacific halibut 326-76 9 #> 651 5 Hippoglossoides elassodon flathead sole 324-73 237 #> 652 4 Tedania kagalaskai club sponge 326-76 NA #> 653 7 Lepidopsetta polyxystra northern rock sole 320-74 74 #> 654 1 Gadus macrocephalus Pacific cod 321-74 25 #> 655 6 Hippoglossus stenolepis Pacific halibut 320-73 22 #> 656 1 Lepidopsetta polyxystra northern rock sole 321-74 50 #> 657 7 Pleurogrammus monopterygius Atka mackerel 320-74 17 #> 658 1 Hippoglossus stenolepis Pacific halibut 321-74 7 #> 659 5 Glyptocephalus zachirus rex sole 324-73 49 #> 660 5 Beringraja binoculata big skate 324-73 1 #> 661 5 Hippoglossus stenolepis Pacific halibut 324-73 8 #> 662 6 Gadus macrocephalus Pacific cod 320-73 9 #> 663 6 Atheresthes stomias arrowtooth flounder 320-73 24 #> 664 1 Hippoglossoides elassodon flathead sole 321-74 14 #> 665 5 Gadus macrocephalus Pacific cod 324-73 5 #> 666 4 Mycale loveni lampshade sponge 326-76 NA #> 667 5 Arctoraja parmifera Alaska skate 324-73 1 #> 668 6 Pleurogrammus monopterygius Atka mackerel 320-73 9 #> 669 5 Myoxocephalus polyacanthocephalus great sculpin 324-73 3 #> 670 5 Hemilepidotus jordani yellow Irish lord 324-73 6 #> 671 1 Hemilepidotus jordani yellow Irish lord 321-74 3 #> 672 1 Strongylocentrotus droebachiensis green sea urchin 321-74 43 #> 673 5 Pleurogrammus monopterygius Atka mackerel 324-73 3 #> 674 7 Hemilepidotus jordani yellow Irish lord 320-74 3 #> 675 4 Hemitripterus bolini bigmouth sculpin 326-76 1 #> 676 5 Pleuronectes quadrituberculatus Alaska plaice 324-73 1 #> 677 1 Pleurogrammus monopterygius Atka mackerel 321-74 2 #> 678 7 Hexagrammos decagrammus kelp greenling 320-74 4 #> 679 7 Gadus chalcogrammus walleye pollock 320-74 2 #> 680 6 Aptocyclus ventricosus smooth lumpsucker 320-73 1 #> 681 1 Sebastes variabilis dusky rockfish 321-74 1 #> 682 5 Podothecus accipenserinus sturgeon poacher 324-73 14 #> 683 5 Lepidopsetta bilineata southern rock sole 324-73 2 #> 684 6 Gadus chalcogrammus walleye pollock 320-73 1 #> 685 4 Sebastes alutus Pacific ocean perch 326-76 4 #> 686 1 Thaliacea salp unid. 321-74 NA #> 687 4 Tethya sp. ball sponge 326-76 NA #> 688 5 Chionoecetes bairdi Tanner crab 324-73 4 #> 689 5 Fusitriton oregonensis Oregon triton 324-73 15 #> 690 4 Porifera sponge unid. 326-76 NA #> 691 5 Gymnocanthus galeatus armorhead sculpin 324-73 2 #> 692 1 Fusitriton oregonensis Oregon triton 321-74 8 #> 693 4 Sebastes polyspinis northern rockfish 326-76 1 #> 694 5 Clupea pallasii Pacific herring 324-73 1 #> 695 4 Sebastes variegatus harlequin rockfish 326-76 1 #> 696 4 Axinella blanca firm finger sponge 326-76 NA #> 697 5 Scyphozoa jellyfish unid. 324-73 1 #> 698 6 Thaliacea salp unid. 320-73 NA #> 699 5 Anoplopoma fimbria sablefish 324-73 1 #> 700 5 Stelodoryx oxeata scapula sponge 324-73 NA #> 701 1 Elassochirus cavimanus purple hermit 321-74 4 #> 702 5 Microstomus pacificus Dover sole 324-73 1 #> 703 4 Pododesmus macrochisma abalone jingle 326-76 3 #> 704 1 Podothecus accipenserinus sturgeon poacher 321-74 2 #> 705 6 Scyphozoa jellyfish unid. 320-73 NA #> 706 1 Pagurus ochotensis Alaskan hermit 321-74 2 #> 707 1 Scyphozoa jellyfish unid. 321-74 1 #> 708 7 Modiolus modiolus northern horsemussel 320-74 1 #> 709 5 Pagurus aleuticus Aleutian hermit 324-73 2 #> 710 1 Elassochirus tenuimanus widehand hermit crab 321-74 2 #> 711 4 Monanchora pulchra yellow leafy sponge 326-76 NA #> 712 7 Fusitriton oregonensis Oregon triton 320-74 1 #> 713 4 Fusitriton oregonensis Oregon triton 326-76 1 #> 714 5 Crossaster papposus rose sea star 324-73 1 #> 715 7 Elassochirus tenuimanus widehand hermit crab 320-74 3 #> 716 7 Ammodytes sp. sand lance unid. 320-74 1 #> 717 1 Hyas lyratus Pacific lyre crab 321-74 1 #> 718 6 Buccinum plectrum sinuous whelk 320-73 1 #> 719 7 Ophiura sarsii notched brittlestar 320-74 1 #> 720 1 Ophiura sarsii notched brittlestar 321-74 2 #> 721 4 Pagurus dalli whiteknee hermit 326-76 1 #> 722 1 Pagurus brandti sponge hermit 321-74 1 #> 723 1 Stomphia coccinea swimming anemone 321-74 1 #> 724 5 Eunoe nodosa giant scale worm 324-73 1 #> weight_kg cpue_kgkm2 cpue_nokm2 #> 639 11614.408 6.412954e+05 572198.24397 #> 640 804.260 3.108126e+04 30027.77395 #> 641 243.080 1.084801e+04 4284.22246 #> 642 184.880 6.666225e+03 12475.73542 #> 643 167.294 7.465882e+03 4775.12295 #> 644 120.050 5.364186e+03 5674.73238 #> 645 97.040 4.336032e+03 9696.19628 #> 646 69.470 3.835821e+03 662.58602 #> 647 65.860 2.939155e+03 4150.34051 #> 648 61.490 2.376329e+03 9274.98809 #> 649 57.400 2.069674e+03 3281.19053 #> 650 52.182 2.881255e+03 496.93951 #> 651 45.630 1.763407e+03 9159.05074 #> 652 43.860 2.421752e+03 0.00000 #> 653 36.060 1.609261e+03 3302.42148 #> 654 35.300 1.272813e+03 901.42597 #> 655 22.307 9.967422e+02 983.02451 #> 656 21.050 7.590007e+02 1802.85194 #> 657 21.030 9.385125e+02 758.66439 #> 658 19.555 7.050954e+02 252.39927 #> 659 16.580 6.407471e+02 1893.64340 #> 660 15.260 5.897347e+02 38.64578 #> 661 12.636 4.883281e+02 309.16627 #> 662 12.610 5.634518e+02 402.14639 #> 663 10.670 4.767669e+02 1072.39037 #> 664 9.380 3.382150e+02 504.79854 #> 665 7.010 2.709069e+02 193.22892 #> 666 6.780 3.743611e+02 0.00000 #> 667 6.560 2.535163e+02 38.64578 #> 668 4.782 2.136738e+02 402.14639 #> 669 4.528 1.749881e+02 115.93735 #> 670 4.020 1.553561e+02 231.87470 #> 671 3.562 1.284352e+02 108.17112 #> 672 3.440 1.240362e+02 1550.45267 #> 673 2.530 9.777383e+01 115.93735 #> 674 2.159 9.635038e+01 133.88195 #> 675 2.100 1.159526e+02 55.21550 #> 676 2.034 7.860552e+01 38.64578 #> 677 1.666 6.007103e+01 72.11408 #> 678 1.526 6.810129e+01 178.50927 #> 679 1.472 6.569141e+01 89.25463 #> 680 1.414 6.318167e+01 44.68293 #> 681 1.282 4.622512e+01 36.05704 #> 682 1.092 4.220120e+01 541.04097 #> 683 1.052 4.065536e+01 77.29157 #> 684 0.928 4.146576e+01 44.68293 #> 685 0.886 4.892093e+01 220.86201 #> 686 0.846 3.050426e+01 0.00000 #> 687 0.840 4.638102e+01 0.00000 #> 688 0.800 3.091663e+01 154.58313 #> 689 0.692 2.674288e+01 579.68676 #> 690 0.684 3.776740e+01 0.00000 #> 691 0.490 1.893643e+01 77.29157 #> 692 0.488 1.759584e+01 288.45631 #> 693 0.442 2.440525e+01 55.21550 #> 694 0.366 1.414436e+01 38.64578 #> 695 0.324 1.788982e+01 55.21550 #> 696 0.316 1.744810e+01 0.00000 #> 697 0.290 1.120728e+01 38.64578 #> 698 0.286 1.277932e+01 0.00000 #> 699 0.240 9.274988e+00 38.64578 #> 700 0.230 8.888530e+00 0.00000 #> 701 0.228 8.221005e+00 144.22815 #> 702 0.194 7.497282e+00 38.64578 #> 703 0.184 1.015965e+01 165.64650 #> 704 0.164 5.913354e+00 72.11408 #> 705 0.132 5.898147e+00 0.00000 #> 706 0.120 4.326845e+00 72.11408 #> 707 0.108 3.894160e+00 36.05704 #> 708 0.080 3.570185e+00 44.62732 #> 709 0.076 2.937080e+00 77.29157 #> 710 0.072 2.596107e+00 72.11408 #> 711 0.070 3.865085e+00 0.00000 #> 712 0.056 2.499130e+00 44.62732 #> 713 0.054 2.981637e+00 55.21550 #> 714 0.050 1.932289e+00 38.64578 #> 715 0.044 1.963602e+00 133.88195 #> 716 0.030 1.338820e+00 44.62732 #> 717 0.018 6.490270e-01 36.05704 #> 718 0.012 5.361950e-01 44.68293 #> 719 0.006 2.677640e-01 44.62732 #> 720 0.006 2.163420e-01 72.11408 #> 721 0.006 3.312930e-01 55.21550 #> 722 0.002 7.211400e-02 36.05704 #> 723 0.002 7.211400e-02 36.05704 #> 724 0.001 3.864600e-02 38.64578 #> #> $catch$`2006` #> haul scientific_name common_name station #> 516 7 Atheresthes stomias arrowtooth flounder 320-74 #> 517 6 Gadus chalcogrammus walleye pollock 324-73 #> 518 5 Tedania kagalaskai club sponge 325-76 #> 519 5 Mycale loveni lampshade sponge 325-76 #> 520 7 Atheresthes stomias arrowtooth flounder 321-74 #> 521 6 Atheresthes stomias arrowtooth flounder 324-73 #> 522 5 Porifera sponge unid. 325-76 #> 523 5 Hemilepidotus jordani yellow Irish lord 325-76 #> 524 7 Gadus chalcogrammus walleye pollock 321-74 #> 525 5 Lepidopsetta polyxystra northern rock sole 325-76 #> 526 7 Hippoglossus stenolepis Pacific halibut 320-74 #> 527 7 Lepidopsetta polyxystra northern rock sole 320-74 #> 528 5 Hippoglossus stenolepis Pacific halibut 325-76 #> 529 7 Gadus macrocephalus Pacific cod 321-74 #> 530 7 Lepidopsetta bilineata southern rock sole 321-74 #> 531 7 Hippoglossus stenolepis Pacific halibut 321-74 #> 532 6 Hippoglossus stenolepis Pacific halibut 324-73 #> 533 5 Gadus macrocephalus Pacific cod 325-76 #> 534 6 Enteroctopus dofleini giant octopus 324-73 #> 535 6 Hippoglossoides elassodon flathead sole 324-73 #> 536 7 Hemilepidotus jordani yellow Irish lord 320-74 #> 537 7 Glyptocephalus zachirus rex sole 320-74 #> 538 5 Pleurogrammus monopterygius Atka mackerel 325-76 #> 539 6 Gadus macrocephalus Pacific cod 324-73 #> 540 5 Atheresthes stomias arrowtooth flounder 325-76 #> 541 5 Pododesmus macrochisma abalone jingle 325-76 #> 542 5 Lepidopsetta bilineata southern rock sole 325-76 #> 543 7 Lepidopsetta polyxystra northern rock sole 321-74 #> 544 5 Gadus chalcogrammus walleye pollock 325-76 #> 545 7 Hippoglossoides elassodon flathead sole 321-74 #> 546 5 Arctoraja parmifera Alaska skate 325-76 #> 547 6 Myoxocephalus polyacanthocephalus great sculpin 324-73 #> 548 5 Monanchora pulchra yellow leafy sponge 325-76 #> 549 7 Myoxocephalus polyacanthocephalus great sculpin 320-74 #> 550 6 Glyptocephalus zachirus rex sole 324-73 #> 551 5 Bathymaster signatus searcher 325-76 #> 552 7 Gadus macrocephalus Pacific cod 320-74 #> 553 7 Gadus chalcogrammus walleye pollock 320-74 #> 554 5 Fusitriton oregonensis Oregon triton 325-76 #> 555 5 Hippoglossoides elassodon flathead sole 325-76 #> 556 5 Hexagrammos decagrammus kelp greenling 325-76 #> 557 7 Pleurogrammus monopterygius Atka mackerel 321-74 #> 558 7 Metridium farcimen gigantic anemone 321-74 #> 559 5 Oncorhynchus keta chum salmon 325-76 #> 560 7 Hemilepidotus jordani yellow Irish lord 321-74 #> 561 7 Lepidopsetta bilineata southern rock sole 320-74 #> 562 6 Fusitriton oregonensis Oregon triton 324-73 #> 563 5 Lethasterias nanimensis blackspined sea star 325-76 #> 564 5 Zoanthidae sp. A hot dog zoanthid 325-76 #> 565 5 Cucumaria fallax sea football 325-76 #> 566 5 Pagurus brandti sponge hermit 325-76 #> 567 6 Lepidopsetta bilineata southern rock sole 324-73 #> 568 7 Fusitriton oregonensis Oregon triton 321-74 #> 569 7 Glyptocephalus zachirus rex sole 321-74 #> 570 6 Lepidopsetta polyxystra northern rock sole 324-73 #> 571 5 Sebastes alutus Pacific ocean perch 325-76 #> 572 6 Chionoecetes bairdi Tanner crab 324-73 #> 573 7 Gorgonocephalus eucnemis basketstar 321-74 #> 574 5 Gymnocanthus galeatus armorhead sculpin 325-76 #> 575 7 Atheresthes evermanni Kamchatka flounder 320-74 #> 576 6 Gorgonocephalus eucnemis basketstar 324-73 #> 577 6 Pagurus trigonocheirus fuzzy hermit crab 324-73 #> 578 6 Hemilepidotus jordani yellow Irish lord 324-73 #> 579 6 Thaliacea salp unid. 324-73 #> 580 6 Lethasterias nanimensis blackspined sea star 324-73 #> 581 5 Crossaster papposus rose sea star 325-76 #> 582 7 Chionoecetes bairdi Tanner crab 321-74 #> 583 5 Modiolus modiolus northern horsemussel 325-76 #> 584 7 Gymnocanthus galeatus armorhead sculpin 321-74 #> 585 5 Mediaster aequalis vermilion sea star 325-76 #> 586 5 Sebastes ciliatus dark rockfish 325-76 #> 587 6 Podothecus accipenserinus sturgeon poacher 324-73 #> 588 6 Gymnocanthus galeatus armorhead sculpin 324-73 #> 589 5 Elassochirus cavimanus purple hermit 325-76 #> 590 7 Pagurus ochotensis Alaskan hermit 321-74 #> 591 5 Cheiraster dawsoni fragile sea star 325-76 #> 592 5 Ceramaster japonicus red bat star 325-76 #> 593 5 Triglops forficatus scissortail sculpin 325-76 #> 594 6 Erimacrus isenbeckii horsehair crab 324-73 #> 595 5 Acantholithodes hispidus fuzzy crab 325-76 #> 596 5 Scyphozoa jellyfish unid. 325-76 #> 597 5 Axinella blanca firm finger sponge 325-76 #> 598 6 Pododesmus macrochisma abalone jingle 324-73 #> 599 7 Podothecus accipenserinus sturgeon poacher 321-74 #> 600 7 Triglops macellus roughspine sculpin 321-74 #> 601 6 Pagurus aleuticus Aleutian hermit 324-73 #> 602 6 Crossaster papposus rose sea star 324-73 #> 603 7 Lethasterias nanimensis blackspined sea star 321-74 #> 604 5 Ascidia paratropa glassy tunicate 325-76 #> 605 5 Pseudarchaster parelii scarlet sea star 325-76 #> 606 6 Cyanea capillata lion's mane jelly 324-73 #> 607 6 Serripes notabilis oblique smoothcockle 324-73 #> 608 7 Elassochirus tenuimanus widehand hermit crab 321-74 #> 609 7 Hyas lyratus Pacific lyre crab 321-74 #> 610 5 Chaetopterus sp. parchment tubeworms 325-76 #> 611 5 Pagurus aleuticus Aleutian hermit 325-76 #> 612 7 Crossaster papposus rose sea star 321-74 #> 613 6 Pseudarchaster parelii scarlet sea star 324-73 #> 614 5 Rhinolithodes wosnessenskii rhinoceros crab 325-76 #> 615 7 Hyas lyratus Pacific lyre crab 320-74 #> 616 7 Pagurus aleuticus Aleutian hermit 320-74 #> 617 7 Elassochirus cavimanus purple hermit 320-74 #> 618 7 Henricia aspera ridged blood star 321-74 #> 619 7 Actiniaria sea anemone unid. 321-74 #> 620 5 Elassochirus tenuimanus widehand hermit crab 325-76 #> 621 7 Modiolus modiolus northern horsemussel 321-74 #> 622 7 Pseudarchaster parelii scarlet sea star 321-74 #> 623 7 Halocynthia aurantium sea peach 321-74 #> 624 7 Metridium farcimen gigantic anemone 320-74 #> 625 5 Pteraster militaris wrinkled star 325-76 #> 626 5 Leptychaster arcticus North Pacific sea star 325-76 #> 627 5 Porella compressa flattened bryozoan 325-76 #> 628 7 Ctenodiscus crispatus common mud star 321-74 #> 629 6 Cheiraster dawsoni fragile sea star 324-73 #> 630 5 Pedicellaster magister majestic sea star 325-76 #> 631 7 Ophiura sarsii notched brittlestar 321-74 #> 632 6 Pagurus rathbuni longfinger hermit 324-73 #> 633 5 Leptasterias hylodes Aleutian sea star 325-76 #> 634 7 Pagurus brandti sponge hermit 320-74 #> 635 7 Cryptonatica aleutica Aleutian moonsnail 321-74 #> 636 5 Oregonia gracilis graceful decorator crab 325-76 #> 637 5 Ophiura sarsii notched brittlestar 325-76 #> 638 5 Nudibranchia nudibranch unid. 325-76 #> count weight_kg cpue_kgkm2 cpue_nokm2 #> 516 438 417.490 18447.288758 19353.54733 #> 517 300 251.768 10546.830065 12567.31999 #> 518 NA 147.500 6778.731896 0.00000 #> 519 NA 137.070 6299.395126 0.00000 #> 520 220 114.970 5388.772492 10311.64607 #> 521 242 52.480 2198.443177 10137.63813 #> 522 NA 52.294 2403.301734 0.00000 #> 523 51 42.162 1937.660300 2343.83272 #> 524 48 41.520 1946.088840 2249.81369 #> 525 112 38.202 1755.668582 5147.24049 #> 526 19 37.129 1640.588719 839.53744 #> 527 64 35.440 1565.958259 2827.91559 #> 528 10 34.638 1591.876037 459.57504 #> 529 9 28.700 1345.201101 421.84007 #> 530 52 28.260 1324.577808 2437.29816 #> 531 10 26.350 1235.053972 468.71119 #> 532 11 23.507 984.733303 460.80173 #> 533 12 21.200 974.299093 551.49005 #> 534 1 21.130 885.158238 41.89107 #> 535 97 20.770 870.077454 4063.43346 #> 536 26 17.460 771.490722 1148.84071 #> 537 25 17.320 765.304657 1104.65453 #> 538 15 14.700 675.575314 689.36257 #> 539 10 13.102 548.856755 418.91067 #> 540 35 10.780 495.421897 1608.51265 #> 541 114 9.714 446.431198 5239.15550 #> 542 13 8.326 382.642181 597.44756 #> 543 25 8.210 384.811883 1171.77796 #> 544 6 7.160 329.055731 275.74503 #> 545 16 6.068 284.413947 749.93790 #> 546 1 5.980 274.825876 45.95750 #> 547 1 5.930 248.414025 41.89107 #> 548 NA 5.640 259.200325 0.00000 #> 549 2 5.630 248.768200 88.37236 #> 550 22 5.500 230.400867 921.60347 #> 551 18 4.740 217.838571 827.23508 #> 552 3 4.310 190.442441 132.55854 #> 553 4 4.240 187.349408 176.74472 #> 554 66 4.140 190.264068 3033.19529 #> 555 7 4.112 188.977258 321.70253 #> 556 9 3.600 165.447016 413.61754 #> 557 3 3.530 165.455048 140.61336 #> 558 22 3.464 162.361554 1031.16461 #> 559 1 3.120 143.387414 45.95750 #> 560 2 2.410 112.959396 93.74224 #> 561 2 1.820 80.418850 88.37236 #> 562 60 1.820 76.241741 2513.46400 #> 563 10 1.348 61.950716 459.57504 #> 564 NA 1.230 56.527730 0.00000 #> 565 2 1.170 53.770280 91.91501 #> 566 29 1.146 52.667300 1332.76763 #> 567 1 1.118 46.834213 41.89107 #> 568 25 1.082 50.714550 1171.77796 #> 569 1 0.930 43.590140 46.87112 #> 570 2 0.902 37.785742 83.78213 #> 571 7 0.814 37.409409 321.70253 #> 572 12 0.594 24.883294 502.69280 #> 573 6 0.566 26.529053 281.22671 #> 574 2 0.552 25.368542 91.91501 #> 575 1 0.550 24.302400 44.18618 #> 576 3 0.364 15.248348 125.67320 #> 577 1 0.360 15.080784 41.89107 #> 578 1 0.348 14.578091 41.89107 #> 579 NA 0.338 14.159181 0.00000 #> 580 3 0.336 14.075398 125.67320 #> 581 8 0.314 14.430656 367.66003 #> 582 2 0.296 13.873851 93.74224 #> 583 9 0.270 12.408526 413.61754 #> 584 2 0.264 12.373975 93.74224 #> 585 4 0.232 10.662141 183.83002 #> 586 1 0.226 10.386396 45.95750 #> 587 3 0.222 9.299817 125.67320 #> 588 1 0.184 7.707956 41.89107 #> 589 5 0.178 8.180436 229.78752 #> 590 3 0.170 7.968090 140.61336 #> 591 11 0.168 7.720861 505.53255 #> 592 3 0.168 7.720861 137.87251 #> 593 5 0.156 7.169371 229.78752 #> 594 1 0.146 6.116096 41.89107 #> 595 4 0.136 6.250221 183.83002 #> 596 NA 0.086 3.952345 0.00000 #> 597 NA 0.080 3.676600 0.00000 #> 598 1 0.078 3.267503 41.89107 #> 599 1 0.072 3.374721 46.87112 #> 600 1 0.066 3.093494 46.87112 #> 601 4 0.064 2.681028 167.56427 #> 602 1 0.062 2.597246 41.89107 #> 603 1 0.058 2.718525 46.87112 #> 604 1 0.058 2.665535 45.95750 #> 605 2 0.058 2.665535 91.91501 #> 606 1 0.054 2.262118 41.89107 #> 607 2 0.054 2.262118 83.78213 #> 608 1 0.048 2.249814 46.87112 #> 609 1 0.044 2.062329 46.87112 #> 610 NA 0.042 1.930215 0.00000 #> 611 2 0.038 1.746385 91.91501 #> 612 1 0.036 1.687360 46.87112 #> 613 1 0.036 1.508078 41.89107 #> 614 1 0.034 1.562555 45.95750 #> 615 1 0.030 1.325585 44.18618 #> 616 1 0.028 1.237213 44.18618 #> 617 1 0.028 1.237213 44.18618 #> 618 1 0.026 1.218649 46.87112 #> 619 2 0.026 1.218649 93.74224 #> 620 1 0.024 1.102980 45.95750 #> 621 1 0.022 1.031165 46.87112 #> 622 1 0.020 0.937422 46.87112 #> 623 1 0.020 0.937422 46.87112 #> 624 1 0.018 0.795351 44.18618 #> 625 1 0.018 0.827235 45.95750 #> 626 1 0.016 0.735320 45.95750 #> 627 NA 0.014 0.643405 0.00000 #> 628 1 0.010 0.468711 46.87112 #> 629 1 0.010 0.418911 41.89107 #> 630 2 0.010 0.459575 91.91501 #> 631 2 0.008 0.374969 93.74224 #> 632 1 0.008 0.335129 41.89107 #> 633 2 0.006 0.275745 91.91501 #> 634 1 0.002 0.088372 44.18618 #> 635 1 0.002 0.093742 46.87112 #> 636 1 0.002 0.091915 45.95750 #> 637 1 0.002 0.091915 45.95750 #> 638 1 0.002 0.091915 45.95750 #> #> $catch$`2010` #> haul scientific_name common_name station count #> 430 7 Gadus chalcogrammus walleye pollock 325-76 2081 #> 431 4 Pleurogrammus monopterygius Atka mackerel 326-76 1164 #> 432 3 Pleurogrammus monopterygius Atka mackerel 326-76 442 #> 433 3 Gadus chalcogrammus walleye pollock 326-76 355 #> 434 3 Gadus chalcogrammus walleye pollock 324-73 142 #> 435 5 Lepidopsetta polyxystra northern rock sole 320-73 342 #> 436 7 Gadus macrocephalus Pacific cod 325-76 45 #> 437 5 Lepidopsetta bilineata southern rock sole 320-73 175 #> 438 7 Lepidopsetta polyxystra northern rock sole 325-76 160 #> 439 7 Hippoglossus stenolepis Pacific halibut 325-76 71 #> 440 3 Gadus macrocephalus Pacific cod 326-76 44 #> 441 3 Atheresthes stomias arrowtooth flounder 326-76 97 #> 442 7 Hippoglossoides elassodon flathead sole 325-76 70 #> 443 7 Pleurogrammus monopterygius Atka mackerel 325-76 29 #> 444 5 Hippoglossus stenolepis Pacific halibut 320-73 56 #> 445 3 Atheresthes stomias arrowtooth flounder 324-73 195 #> 446 4 Gadus macrocephalus Pacific cod 326-76 14 #> 447 3 Hippoglossus stenolepis Pacific halibut 324-73 26 #> 448 4 Lepidopsetta polyxystra northern rock sole 326-76 76 #> 449 5 Gadus macrocephalus Pacific cod 320-73 22 #> 450 3 Lepidopsetta polyxystra northern rock sole 326-76 71 #> 451 3 Hippoglossoides elassodon flathead sole 324-73 173 #> 452 3 Chionoecetes bairdi Tanner crab 324-73 54 #> 453 3 Hemilepidotus jordani yellow Irish lord 326-76 45 #> 454 4 Hippoglossus stenolepis Pacific halibut 326-76 42 #> 455 7 Hemilepidotus jordani yellow Irish lord 325-76 31 #> 456 7 Lepidopsetta bilineata southern rock sole 325-76 33 #> 457 3 Hippoglossoides elassodon flathead sole 326-76 45 #> 458 7 Tedania kagalaskai club sponge 325-76 NA #> 459 3 Gadus macrocephalus Pacific cod 324-73 11 #> 460 4 Gadus chalcogrammus walleye pollock 326-76 17 #> 461 7 Atheresthes stomias arrowtooth flounder 325-76 21 #> 462 3 Glyptocephalus zachirus rex sole 324-73 39 #> 463 5 Atheresthes stomias arrowtooth flounder 320-73 7 #> 464 7 Mycale loveni lampshade sponge 325-76 NA #> 465 3 Hippoglossus stenolepis Pacific halibut 326-76 9 #> 466 4 Atheresthes stomias arrowtooth flounder 326-76 19 #> 467 4 Lepidopsetta bilineata southern rock sole 326-76 10 #> 468 4 Hippoglossoides elassodon flathead sole 326-76 8 #> 469 3 Enteroctopus dofleini giant octopus 324-73 1 #> 470 3 Hemilepidotus jordani yellow Irish lord 324-73 6 #> 471 3 Myoxocephalus polyacanthocephalus great sculpin 324-73 2 #> 472 4 Hemilepidotus jordani yellow Irish lord 326-76 5 #> 473 3 Arctoraja parmifera Alaska skate 324-73 1 #> 474 7 Hexagrammos decagrammus kelp greenling 325-76 5 #> 475 3 Gymnocanthus galeatus armorhead sculpin 324-73 13 #> 476 7 Monanchora pulchra yellow leafy sponge 325-76 NA #> 477 7 Porifera sponge unid. 325-76 NA #> 478 3 Lepidopsetta polyxystra northern rock sole 324-73 2 #> 479 3 Sebastes variabilis dusky rockfish 324-73 3 #> 480 7 Sebastes alutus Pacific ocean perch 325-76 9 #> 481 3 Porifera sponge unid. 324-73 NA #> 482 3 Atheresthes evermanni Kamchatka flounder 326-76 1 #> 483 4 Gymnocanthus galeatus armorhead sculpin 326-76 3 #> 484 3 Sebastes alutus Pacific ocean perch 324-73 8 #> 485 3 Atheresthes evermanni Kamchatka flounder 324-73 6 #> 486 3 Podothecus accipenserinus sturgeon poacher 324-73 7 #> 487 7 Gymnocanthus galeatus armorhead sculpin 325-76 2 #> 488 7 Isodictya palmata prickly pear sponge 325-76 NA #> 489 3 Fusitriton oregonensis Oregon triton 324-73 7 #> 490 3 Triglops forficatus scissortail sculpin 326-76 3 #> 491 4 Mycale loveni lampshade sponge 326-76 NA #> 492 7 Fusitriton oregonensis Oregon triton 325-76 4 #> 493 3 Halocynthia aurantium sea peach 326-76 1 #> 494 4 Strongylocentrotus droebachiensis green sea urchin 326-76 11 #> 495 3 Pagurus brandti sponge hermit 324-73 8 #> 496 3 Hemitripterus bolini bigmouth sculpin 326-76 1 #> 497 3 Mycale loveni lampshade sponge 324-73 NA #> 498 3 Lepidopsetta bilineata southern rock sole 326-76 1 #> 499 3 Pagurus aleuticus Aleutian hermit 324-73 2 #> 500 4 Fusitriton oregonensis Oregon triton 326-76 3 #> 501 3 Strongylocentrotus droebachiensis green sea urchin 326-76 1 #> 502 3 Sebastes polyspinis northern rockfish 324-73 1 #> 503 4 Actiniaria sea anemone unid. 326-76 2 #> 504 3 Porifera sponge unid. 326-76 NA #> 505 4 Elassochirus tenuimanus widehand hermit crab 326-76 2 #> 506 3 Diplopteraster multipes pincushion sea star 326-76 1 #> 507 4 Pododesmus macrochisma abalone jingle 326-76 1 #> 508 3 Ceramaster patagonicus orange bat sea star 326-76 1 #> 509 3 Metridium farcimen gigantic anemone 326-76 1 #> 510 3 Chirona evermanni giant barnacle 324-73 NA #> 511 4 Pagurus ochotensis Alaskan hermit 326-76 1 #> 512 3 Hyas lyratus Pacific lyre crab 324-73 1 #> 513 5 Pagurus brandti sponge hermit 320-73 1 #> 514 5 Notostomum cyclostomum striped sea leech 320-73 1 #> 515 3 Crangon dalli ridged Crangon 324-73 1 #> weight_kg cpue_kgkm2 cpue_nokm2 #> 430 2536.790 1.088185e+05 89266.85531 #> 431 2038.610 8.903763e+04 50838.46562 #> 432 651.820 2.843245e+04 19280.08511 #> 433 390.730 1.704368e+04 15485.13623 #> 434 223.770 9.541060e+03 6054.56700 #> 435 206.376 9.082907e+03 15051.91591 #> 436 148.840 6.384661e+03 1930.32604 #> 437 102.930 4.530099e+03 7702.00375 #> 438 76.840 3.296139e+03 6863.38148 #> 439 70.647 3.030483e+03 3045.62553 #> 440 69.570 3.034651e+03 1919.28449 #> 441 56.720 2.474132e+03 4231.14990 #> 442 48.200 2.067594e+03 3002.72939 #> 443 45.360 1.945769e+03 1243.98789 #> 444 45.138 1.986589e+03 2464.64120 #> 445 44.886 1.913840e+03 8314.37017 #> 446 44.050 1.923913e+03 611.45921 #> 447 43.582 1.858240e+03 1108.58269 #> 448 42.580 1.859710e+03 3319.34999 #> 449 40.480 1.781583e+03 968.25190 #> 450 32.540 1.419398e+03 3097.02725 #> 451 31.884 1.359463e+03 7376.33867 #> 452 31.000 1.321772e+03 2302.44097 #> 453 30.980 1.351351e+03 1962.90459 #> 454 28.413 1.240956e+03 1834.37763 #> 455 27.840 1.194228e+03 1329.78016 #> 456 26.020 1.116157e+03 1415.57243 #> 457 25.640 1.118419e+03 1962.90459 #> 458 21.580 9.256986e+02 0.00000 #> 459 21.150 9.017894e+02 469.01575 #> 460 20.290 8.861791e+02 742.48618 #> 461 12.960 5.559339e+02 900.81882 #> 462 12.690 5.410736e+02 1662.87404 #> 463 12.440 5.475024e+02 308.08015 #> 464 12.080 5.181853e+02 0.00000 #> 465 11.320 4.937796e+02 392.58092 #> 466 10.420 4.551004e+02 829.83750 #> 467 8.040 3.511523e+02 436.75658 #> 468 6.260 2.734096e+02 349.40526 #> 469 4.060 1.731095e+02 42.63780 #> 470 3.952 1.685046e+02 255.82677 #> 471 3.930 1.675665e+02 85.27559 #> 472 3.920 1.712086e+02 218.37829 #> 473 3.560 1.517906e+02 42.63780 #> 474 3.400 1.458469e+02 214.48067 #> 475 3.324 1.417280e+02 554.29134 #> 476 3.000 1.286884e+02 0.00000 #> 477 2.988 1.281736e+02 0.00000 #> 478 1.250 5.329724e+01 85.27559 #> 479 0.974 4.152921e+01 127.91339 #> 480 0.936 4.015078e+01 386.06521 #> 481 0.758 3.231945e+01 0.00000 #> 482 0.722 3.149371e+01 43.62010 #> 483 0.700 3.057296e+01 131.02697 #> 484 0.678 2.890843e+01 341.10237 #> 485 0.642 2.737346e+01 255.82677 #> 486 0.550 2.345079e+01 298.46457 #> 487 0.484 2.076173e+01 85.79227 #> 488 0.364 1.561419e+01 0.00000 #> 489 0.306 1.304717e+01 298.46457 #> 490 0.260 1.134123e+01 130.86031 #> 491 0.258 1.126832e+01 0.00000 #> 492 0.254 1.089562e+01 171.58454 #> 493 0.216 9.421942e+00 43.62010 #> 494 0.206 8.997185e+00 480.43223 #> 495 0.168 7.163150e+00 341.10237 #> 496 0.168 7.328177e+00 43.62010 #> 497 0.150 6.395669e+00 0.00000 #> 498 0.150 6.543015e+00 43.62010 #> 499 0.134 5.713465e+00 85.27559 #> 500 0.116 5.066376e+00 131.02697 #> 501 0.110 4.798211e+00 43.62010 #> 502 0.106 4.519606e+00 42.63780 #> 503 0.088 3.843458e+00 87.35132 #> 504 0.070 3.053407e+00 0.00000 #> 505 0.066 2.882593e+00 87.35132 #> 506 0.062 2.704446e+00 43.62010 #> 507 0.036 1.572324e+00 43.67566 #> 508 0.026 1.134123e+00 43.62010 #> 509 0.022 9.596420e-01 43.62010 #> 510 0.020 8.527560e-01 0.00000 #> 511 0.016 6.988110e-01 43.67566 #> 512 0.010 4.263780e-01 42.63780 #> 513 0.008 3.520920e-01 44.01145 #> 514 0.004 1.760460e-01 44.01145 #> 515 0.002 8.527600e-02 42.63780 #> #> $catch$`2012` #> haul scientific_name common_name station count #> 325 6 Lepidopsetta bilineata southern rock sole 321-74 310 #> 326 6 Gadus chalcogrammus walleye pollock 321-74 60 #> 327 4 Gadus chalcogrammus walleye pollock 326-76 76 #> 328 6 Hippoglossus stenolepis Pacific halibut 321-74 80 #> 329 7 Lepidopsetta polyxystra northern rock sole 320-73 82 #> 330 6 Lepidopsetta polyxystra northern rock sole 321-74 51 #> 331 1 Gadus macrocephalus Pacific cod 326-76 17 #> 332 7 Lepidopsetta bilineata southern rock sole 320-73 49 #> 333 6 Gadus macrocephalus Pacific cod 321-74 16 #> 334 1 Hippoglossus stenolepis Pacific halibut 320-74 25 #> 335 7 Hippoglossus stenolepis Pacific halibut 320-74 15 #> 336 4 Lepidopsetta polyxystra northern rock sole 326-76 29 #> 337 6 Atheresthes stomias arrowtooth flounder 321-74 15 #> 338 7 Hippoglossus stenolepis Pacific halibut 320-73 18 #> 339 1 Lepidopsetta polyxystra northern rock sole 326-76 26 #> 340 1 Lepidopsetta polyxystra northern rock sole 320-74 17 #> 341 1 Hemilepidotus jordani yellow Irish lord 326-76 18 #> 342 1 Atheresthes stomias arrowtooth flounder 326-76 15 #> 343 4 Hippoglossus stenolepis Pacific halibut 326-76 11 #> 344 1 Gadus macrocephalus Pacific cod 320-74 6 #> 345 4 Atheresthes stomias arrowtooth flounder 326-76 15 #> 346 7 Atheresthes stomias arrowtooth flounder 320-74 8 #> 347 1 Atheresthes stomias arrowtooth flounder 320-74 20 #> 348 7 Atheresthes stomias arrowtooth flounder 320-73 7 #> 349 4 Gadus macrocephalus Pacific cod 326-76 4 #> 350 6 Hippoglossoides elassodon flathead sole 321-74 7 #> 351 7 Glyptocephalus zachirus rex sole 320-74 6 #> 352 4 Hippoglossoides elassodon flathead sole 326-76 8 #> 353 1 Gadus chalcogrammus walleye pollock 320-74 2 #> 354 7 Gadus macrocephalus Pacific cod 320-73 4 #> 355 1 Lepidopsetta bilineata southern rock sole 320-74 4 #> 356 7 Pleurogrammus monopterygius Atka mackerel 320-73 2 #> 357 7 Hemilepidotus jordani yellow Irish lord 320-74 3 #> 358 4 Pleurogrammus monopterygius Atka mackerel 326-76 2 #> 359 1 Fusitriton oregonensis Oregon triton 326-76 47 #> 360 7 Gadus chalcogrammus walleye pollock 320-74 2 #> 361 1 Glyptocephalus zachirus rex sole 320-74 4 #> 362 1 Pleurogrammus monopterygius Atka mackerel 326-76 2 #> 363 7 Lepidopsetta polyxystra northern rock sole 320-74 2 #> 364 1 Gadus chalcogrammus walleye pollock 326-76 1 #> 365 1 Porifera sponge unid. 326-76 NA #> 366 7 Gadus macrocephalus Pacific cod 320-74 1 #> 367 4 Hemilepidotus jordani yellow Irish lord 326-76 2 #> 368 6 Berryteuthis magister magistrate armhook squid 321-74 5 #> 369 1 Hippoglossus stenolepis Pacific halibut 326-76 2 #> 370 7 Hemilepidotus jordani yellow Irish lord 320-73 1 #> 371 1 Hemilepidotus jordani yellow Irish lord 320-74 2 #> 372 1 Halocynthia aurantium sea peach 326-76 8 #> 373 6 Hemilepidotus jordani yellow Irish lord 321-74 1 #> 374 7 Hippoglossoides elassodon flathead sole 320-74 2 #> 375 1 Hippoglossoides elassodon flathead sole 326-76 2 #> 376 7 Berryteuthis magister magistrate armhook squid 320-74 3 #> 377 4 Lepidopsetta bilineata southern rock sole 326-76 1 #> 378 7 Atheresthes evermanni Kamchatka flounder 320-73 2 #> 379 1 Berryteuthis magister magistrate armhook squid 326-76 2 #> 380 7 Hemilepidotus hemilepidotus red Irish lord 320-73 1 #> 381 1 Hippoglossoides elassodon flathead sole 320-74 1 #> 382 4 Gymnocanthus galeatus armorhead sculpin 326-76 1 #> 383 1 Berryteuthis magister magistrate armhook squid 320-74 1 #> 384 4 Berryteuthis magister magistrate armhook squid 326-76 1 #> 385 1 Atheresthes evermanni Kamchatka flounder 326-76 1 #> 386 7 Halocynthia aurantium sea peach 320-73 1 #> 387 4 Gorgonocephalus eucnemis basketstar 326-76 1 #> 388 4 Triglops forficatus scissortail sculpin 326-76 3 #> 389 4 Atheresthes evermanni Kamchatka flounder 326-76 2 #> 390 1 Modiolus modiolus northern horsemussel 326-76 4 #> 391 1 Ascidiacea tunicate unid. 326-76 13 #> 392 1 Bathymaster signatus searcher 326-76 1 #> 393 1 Actiniaria sea anemone unid. 326-76 2 #> 394 6 Gorgonocephalus eucnemis basketstar 321-74 1 #> 395 1 Elassochirus cavimanus purple hermit 326-76 3 #> 396 7 Gorgonocephalus eucnemis basketstar 320-74 1 #> 397 1 Sebastes alutus Pacific ocean perch 326-76 2 #> 398 1 Bryozoa bryozoan unid. 326-76 NA #> 399 4 Thaliacea salp unid. 326-76 1 #> 400 1 Pteraster militaris wrinkled star 326-76 3 #> 401 7 Triglops scepticus spectacled sculpin 320-74 2 #> 402 1 Pagurus ochotensis Alaskan hermit 326-76 3 #> 403 1 Pagurus confragosus knobbyhand hermit 326-76 1 #> 404 1 Actiniaria sea anemone unid. 320-74 1 #> 405 1 Triglops forficatus scissortail sculpin 326-76 1 #> 406 1 Sarritor frenatus sawback poacher 326-76 1 #> 407 1 Pododesmus macrochisma abalone jingle 326-76 1 #> 408 4 Fusitriton oregonensis Oregon triton 326-76 2 #> 409 1 Triglops scepticus spectacled sculpin 326-76 1 #> 410 6 Fusitriton oregonensis Oregon triton 321-74 1 #> 411 1 Lethasterias nanimensis blackspined sea star 326-76 1 #> 412 6 Cheiraster dawsoni fragile sea star 321-74 1 #> 413 1 Hyas lyratus Pacific lyre crab 326-76 3 #> 414 7 Gadus chalcogrammus walleye pollock 320-73 1 #> 415 7 Porifera sponge unid. 320-73 NA #> 416 1 Pagurus aleuticus Aleutian hermit 326-76 1 #> 417 1 Tritonia tetraquetra rosy Tritonia 326-76 1 #> 418 1 Fusitriton oregonensis Oregon triton 320-74 1 #> 419 6 Pagurus aleuticus Aleutian hermit 321-74 1 #> 420 1 Laqueus erythraeus California lamp shell 326-76 1 #> 421 1 Cheiraster dawsoni fragile sea star 326-76 1 #> 422 1 Buccinum scalariforme ladder whelk 326-76 1 #> 423 1 Eumicrotremus sp. spiny lumpsuckers 326-76 2 #> 424 7 Fusitriton oregonensis Oregon triton 320-74 1 #> 425 1 Ophiura sarsii notched brittlestar 320-74 1 #> 426 1 Porifera sponge unid. 320-74 NA #> 427 7 Bulbus fragilis fragile moonsnail 320-73 1 #> 428 1 Ophiuroidea brittlestar unid. 326-76 1 #> 429 1 Isopoda isopod unid. 326-76 1 #> weight_kg cpue_kgkm2 cpue_nokm2 #> 325 266.120 11732.310055 13666.82744 #> 326 99.810 4400.277569 2645.19241 #> 327 68.020 3199.438570 3574.79170 #> 328 57.449 2532.727643 3526.92321 #> 329 47.540 2076.651323 3581.93960 #> 330 34.780 1533.329865 2248.41355 #> 331 29.110 1295.747314 756.70575 #> 332 28.570 1248.000175 2140.42732 #> 333 20.500 903.774072 705.38464 #> 334 20.490 947.837132 1156.46307 #> 335 17.956 795.845365 664.82961 #> 336 12.690 596.896140 1364.06525 #> 337 11.450 504.790884 661.29810 #> 338 11.422 498.937977 786.27942 #> 339 10.610 472.273411 1157.31467 #> 340 9.930 459.347131 786.39489 #> 341 9.560 425.535703 801.21785 #> 342 9.300 413.962556 667.68154 #> 343 8.163 383.960850 517.40406 #> 344 7.590 351.102188 277.55114 #> 345 6.380 300.094356 705.55099 #> 346 6.040 267.704723 354.57579 #> 347 4.780 221.115739 925.17046 #> 348 4.700 205.306294 305.77533 #> 349 4.620 217.309706 188.14693 #> 350 4.430 195.303373 308.60578 #> 351 3.900 172.855698 265.93184 #> 352 3.670 172.624810 376.29386 #> 353 3.460 160.054489 92.51705 #> 354 3.450 150.703556 174.72876 #> 355 3.250 150.340199 185.03409 #> 356 2.930 127.988817 87.36438 #> 357 2.496 110.627647 132.96592 #> 358 2.210 103.951180 94.07347 #> 359 2.005 89.246766 2092.06883 #> 360 1.946 86.250561 88.64395 #> 361 1.772 81.970102 185.03409 #> 362 1.710 76.115696 89.02421 #> 363 1.608 71.269734 88.64395 #> 364 1.540 68.548638 44.51210 #> 365 1.465 65.210231 0.00000 #> 366 1.450 64.266862 44.32197 #> 367 1.400 65.851426 94.07347 #> 368 1.372 60.486733 220.43270 #> 369 1.107 49.274898 89.02421 #> 370 0.962 42.022267 43.68219 #> 371 0.926 42.835392 92.51705 #> 372 0.776 34.541392 356.09682 #> 373 0.774 34.122982 44.08654 #> 374 0.745 33.019871 88.64395 #> 375 0.640 28.487746 89.02421 #> 376 0.604 26.770472 132.96592 #> 377 0.604 28.410187 47.03673 #> 378 0.515 22.496328 87.36438 #> 379 0.495 22.033491 89.02421 #> 380 0.390 17.036054 43.68219 #> 381 0.328 15.172795 46.25852 #> 382 0.312 14.675461 47.03673 #> 383 0.274 12.674835 46.25852 #> 384 0.262 12.323624 47.03673 #> 385 0.234 10.415832 44.51210 #> 386 0.222 9.697446 43.68219 #> 387 0.210 9.877714 47.03673 #> 388 0.196 9.219200 141.11020 #> 389 0.180 8.466612 94.07347 #> 390 0.180 8.012179 178.04841 #> 391 0.140 6.231694 578.65734 #> 392 0.132 5.875598 44.51210 #> 393 0.120 5.341452 89.02421 #> 394 0.110 4.849519 44.08654 #> 395 0.100 4.451210 133.53631 #> 396 0.078 3.457114 44.32197 #> 397 0.074 3.293896 89.02421 #> 398 0.070 3.115847 0.00000 #> 399 0.070 3.292571 47.03673 #> 400 0.060 2.670726 133.53631 #> 401 0.056 2.482031 88.64395 #> 402 0.055 2.448166 133.53631 #> 403 0.055 2.448166 44.51210 #> 404 0.054 2.497960 46.25852 #> 405 0.052 2.314629 44.51210 #> 406 0.048 2.136581 44.51210 #> 407 0.042 1.869508 44.51210 #> 408 0.040 1.881469 94.07347 #> 409 0.032 1.424387 44.51210 #> 410 0.030 1.322596 44.08654 #> 411 0.030 1.335363 44.51210 #> 412 0.028 1.234423 44.08654 #> 413 0.025 1.112803 133.53631 #> 414 0.024 1.048373 43.68219 #> 415 0.020 0.873644 0.00000 #> 416 0.015 0.667682 44.51210 #> 417 0.015 0.667682 44.51210 #> 418 0.012 0.555102 46.25852 #> 419 0.012 0.529038 44.08654 #> 420 0.010 0.445121 44.51210 #> 421 0.010 0.445121 44.51210 #> 422 0.010 0.445121 44.51210 #> 423 0.010 0.445121 89.02421 #> 424 0.008 0.354576 44.32197 #> 425 0.008 0.370068 46.25852 #> 426 0.008 0.370068 0.00000 #> 427 0.005 0.218411 43.68219 #> 428 0.005 0.222561 44.51210 #> 429 0.005 0.222561 44.51210 #> #> $catch$`2014` #> haul scientific_name common_name station count #> 208 3 Pleurogrammus monopterygius Atka mackerel 320-74 142 #> 209 3 Atheresthes stomias arrowtooth flounder 320-74 129 #> 210 6 Lepidopsetta polyxystra northern rock sole 320-74 298 #> 211 3 Lepidopsetta polyxystra northern rock sole 320-74 172 #> 212 1 Hippoglossoides elassodon flathead sole 321-74 129 #> 213 5 Gadus macrocephalus Pacific cod 326-76 74 #> 214 1 Lepidopsetta bilineata southern rock sole 321-74 66 #> 215 1 Gadus macrocephalus Pacific cod 321-74 16 #> 216 6 Gadus macrocephalus Pacific cod 320-74 11 #> 217 6 Lepidopsetta bilineata southern rock sole 320-74 34 #> 218 3 Gadus macrocephalus Pacific cod 320-74 39 #> 219 3 Hippoglossus stenolepis Pacific halibut 320-74 11 #> 220 3 Enteroctopus dofleini giant octopus 320-74 3 #> 221 3 Gadus chalcogrammus walleye pollock 320-74 15 #> 222 3 Sebastes variabilis dusky rockfish 320-74 22 #> 223 1 Atheresthes stomias arrowtooth flounder 321-74 99 #> 224 3 Hemilepidotus jordani yellow Irish lord 320-74 18 #> 225 5 Atheresthes stomias arrowtooth flounder 326-76 35 #> 226 5 Lepidopsetta polyxystra northern rock sole 326-76 37 #> 227 6 Hippoglossus stenolepis Pacific halibut 320-74 11 #> 228 5 Hemilepidotus jordani yellow Irish lord 326-76 20 #> 229 3 Sebastes polyspinis northern rockfish 320-74 17 #> 230 5 Hippoglossus stenolepis Pacific halibut 326-76 7 #> 231 1 Enteroctopus dofleini giant octopus 321-74 1 #> 232 1 Metridium farcimen gigantic anemone 321-74 39 #> 233 3 Atheresthes evermanni Kamchatka flounder 320-74 10 #> 234 3 Hippoglossoides elassodon flathead sole 320-74 10 #> 235 3 Glyptocephalus zachirus rex sole 320-74 7 #> 236 1 Hippoglossus stenolepis Pacific halibut 321-74 4 #> 237 6 Anarrhichthys ocellatus wolf-eel 320-74 1 #> 238 1 Gadus chalcogrammus walleye pollock 321-74 2 #> 239 3 Sebastes alutus Pacific ocean perch 320-74 8 #> 240 1 Porifera sponge unid. 321-74 NA #> 241 3 Lepidopsetta bilineata southern rock sole 320-74 3 #> 242 3 Chirona evermanni giant barnacle 320-74 NA #> 243 5 Hippoglossoides elassodon flathead sole 326-76 3 #> 244 1 Lepidopsetta polyxystra northern rock sole 321-74 4 #> 245 3 Bathyraja taranetzi mud skate 320-74 1 #> 246 5 Pleurogrammus monopterygius Atka mackerel 326-76 2 #> 247 5 Hemitripterus bolini bigmouth sculpin 326-76 2 #> 248 1 Fusitriton oregonensis Oregon triton 321-74 23 #> 249 5 Triglops forficatus scissortail sculpin 326-76 12 #> 250 6 Atheresthes stomias arrowtooth flounder 320-74 9 #> 251 6 Aptocyclus ventricosus smooth lumpsucker 320-74 1 #> 252 3 Fusitriton oregonensis Oregon triton 320-74 33 #> 253 6 Hemilepidotus jordani yellow Irish lord 320-74 1 #> 254 5 Lepidopsetta bilineata southern rock sole 326-76 1 #> 255 5 Atheresthes evermanni Kamchatka flounder 326-76 2 #> 256 3 Sebastes melanostictus blackspotted rockfish 320-74 1 #> 257 3 Malacocottus zonurus darkfin sculpin 320-74 1 #> 258 5 Porifera sponge unid. 326-76 NA #> 259 6 Hippoglossoides elassodon flathead sole 320-74 1 #> 260 1 Pleurogrammus monopterygius Atka mackerel 321-74 1 #> 261 1 Thaliacea salp unid. 321-74 NA #> 262 3 Holothuroidea sea cucumber unid. 320-74 11 #> 263 3 Pagurus brandti sponge hermit 320-74 17 #> 264 3 Porifera sponge unid. 320-74 NA #> 265 5 Gadus chalcogrammus walleye pollock 326-76 2 #> 266 1 Serpulidae serpulid worm 321-74 NA #> 267 5 Modiolus modiolus northern horsemussel 326-76 1 #> 268 3 Lethasterias nanimensis blackspined sea star 320-74 1 #> 269 3 Elassochirus cavimanus purple hermit 320-74 10 #> 270 5 Sebastes alutus Pacific ocean perch 326-76 2 #> 271 3 Actiniaria sea anemone unid. 320-74 2 #> 272 3 Scyphozoa jellyfish unid. 320-74 NA #> 273 3 Sebastes ciliatus dark rockfish 320-74 1 #> 274 6 Crystallichthys cyclospilus blotched snailfish 320-74 1 #> 275 3 Pagurus cornutus hornyhand hermit 320-74 5 #> 276 3 Solaster dawsoni morning sun sea star 320-74 1 #> 277 6 Ophiura sarsii notched brittlestar 320-74 16 #> 278 1 Atheresthes evermanni Kamchatka flounder 321-74 4 #> 279 3 Ophiura sarsii notched brittlestar 320-74 16 #> 280 3 Pagurus confragosus knobbyhand hermit 320-74 7 #> 281 6 Fusitriton oregonensis Oregon triton 320-74 6 #> 282 6 Gymnocanthus galeatus armorhead sculpin 320-74 2 #> 283 3 Pyrulofusus harpa left-hand whelk 320-74 2 #> 284 3 Hyas lyratus Pacific lyre crab 320-74 7 #> 285 3 Triglops scepticus spectacled sculpin 320-74 4 #> 286 1 Ophiura sarsii notched brittlestar 321-74 25 #> 287 6 Porifera sponge unid. 320-74 NA #> 288 3 Ascidiacea tunicate unid. 320-74 NA #> 289 5 Crystallichthys cyclospilus blotched snailfish 326-76 1 #> 290 5 Fusitriton oregonensis Oregon triton 326-76 1 #> 291 1 Podothecus accipenserinus sturgeon poacher 321-74 1 #> 292 5 Ceramaster japonicus red bat star 326-76 1 #> 293 5 Hyas lyratus Pacific lyre crab 326-76 1 #> 294 3 Diplopteraster multipes pincushion sea star 320-74 1 #> 295 1 Elassochirus cavimanus purple hermit 321-74 1 #> 296 6 Actiniaria sea anemone unid. 320-74 3 #> 297 3 Metridium farcimen gigantic anemone 320-74 1 #> 298 5 Elassochirus cavimanus purple hermit 326-76 1 #> 299 1 Hyas lyratus Pacific lyre crab 321-74 1 #> 300 5 Nudibranchia nudibranch unid. 326-76 1 #> 301 5 Pseudarchaster parelii scarlet sea star 326-76 1 #> 302 6 Elassochirus tenuimanus widehand hermit crab 320-74 2 #> 303 5 Pododesmus macrochisma abalone jingle 326-76 1 #> 304 1 Pagurus brandti sponge hermit 321-74 2 #> 305 3 Cheiraster dawsoni fragile sea star 320-74 2 #> 306 3 Castaneobuccinum castaneum chestnut whelk 320-74 1 #> 307 5 Aptocyclus ventricosus smooth lumpsucker 326-76 3 #> 308 1 Modiolus modiolus northern horsemussel 321-74 1 #> 309 6 Ceramaster arcticus Arctic bat sea star 320-74 1 #> 310 6 Mycale loveni lampshade sponge 320-74 NA #> 311 6 Hyas lyratus Pacific lyre crab 320-74 1 #> 312 5 Pedicellaster magister majestic sea star 326-76 1 #> 313 3 Keenocardium blandum low-rib cockle 320-74 1 #> 314 3 Labidochirus splendescens splendid hermit 320-74 1 #> 315 1 Periphylla periphylla helmet jelly 321-74 1 #> 316 3 Styela rustica sea potato 320-74 1 #> 317 1 Rhamphocottus richardsonii grunt sculpin 321-74 1 #> 318 3 Ophiuroidea brittlestar unid. 320-74 1 #> 319 6 Bryozoa bryozoan unid. 320-74 NA #> 320 3 Eunoe nodosa giant scale worm 320-74 1 #> 321 3 Paguridae hermit crab unid. 320-74 3 #> 322 3 Polychaeta polychaete worm unid. 320-74 1 #> 323 1 Chaetopterus sp. parchment tubeworms 321-74 NA #> 324 5 Hydroidolina hydroid unid. 326-76 NA #> weight_kg cpue_kgkm2 cpue_nokm2 #> 208 214.240 8637.949677 5725.30272 #> 209 129.014 5201.719752 5201.15528 #> 210 126.552 5725.758380 13482.80546 #> 211 110.220 4443.963842 6934.87371 #> 212 97.520 4081.346355 5398.82773 #> 213 67.910 3286.122879 3580.81421 #> 214 62.090 2598.552043 2762.19093 #> 215 38.570 1614.207639 669.62204 #> 216 36.530 1652.774777 497.68745 #> 217 32.038 1449.537320 1538.30666 #> 218 28.920 1166.026441 1572.44230 #> 219 28.484 1148.447342 443.50937 #> 220 26.480 1067.648000 120.95710 #> 221 19.220 774.931818 604.78550 #> 222 17.860 720.097933 887.01873 #> 223 15.930 666.692447 4143.28640 #> 224 13.590 547.935661 725.74260 #> 225 13.480 652.288859 1693.62834 #> 226 11.940 577.769212 1790.40711 #> 227 11.383 515.016022 497.68745 #> 228 11.180 540.993282 967.78762 #> 229 11.150 449.557220 685.42357 #> 230 10.763 520.814910 338.72567 #> 231 10.250 428.976622 41.85138 #> 232 9.998 418.430074 1632.20373 #> 233 6.080 245.139722 403.19033 #> 234 5.780 233.044012 403.19033 #> 235 5.670 228.608918 282.23323 #> 236 5.228 218.799003 167.40551 #> 237 4.480 202.694525 45.24431 #> 238 4.020 168.242538 83.70275 #> 239 3.680 148.374042 322.55227 #> 240 3.276 137.105113 0.00000 #> 241 2.790 112.490103 120.95710 #> 242 2.434 98.136527 0.00000 #> 243 2.260 109.360002 145.16814 #> 244 2.008 84.037566 167.40551 #> 245 1.722 69.429375 40.31903 #> 246 1.680 81.294160 96.77876 #> 247 1.620 78.390798 96.77876 #> 248 1.338 55.997143 962.58169 #> 249 1.288 62.325523 580.67258 #> 250 1.216 55.017085 407.19882 #> 251 1.110 50.221188 45.24431 #> 252 1.044 42.093071 1330.52810 #> 253 0.992 44.882359 45.24431 #> 254 0.920 44.518231 48.38938 #> 255 0.840 40.647080 96.77876 #> 256 0.770 31.045656 40.31903 #> 257 0.732 29.513532 40.31903 #> 258 0.632 30.582089 0.00000 #> 259 0.618 27.960986 45.24431 #> 260 0.580 24.273799 41.85138 #> 261 0.564 23.604177 0.00000 #> 262 0.440 17.740375 443.50937 #> 263 0.364 14.676128 685.42357 #> 264 0.346 13.950385 0.00000 #> 265 0.304 14.710372 96.77876 #> 266 0.294 12.304305 0.00000 #> 267 0.284 13.742584 48.38938 #> 268 0.274 11.047415 40.31903 #> 269 0.240 9.676568 403.19033 #> 270 0.236 11.419894 96.77876 #> 271 0.226 9.112102 80.63807 #> 272 0.200 8.063807 0.00000 #> 273 0.198 7.983169 40.31903 #> 274 0.178 8.053488 45.24431 #> 275 0.156 6.289769 201.59517 #> 276 0.136 5.483389 40.31903 #> 277 0.132 5.972249 723.90902 #> 278 0.126 5.273274 167.40551 #> 279 0.114 4.596370 645.10453 #> 280 0.110 4.435094 282.23323 #> 281 0.108 4.886386 271.46588 #> 282 0.104 4.705409 90.48863 #> 283 0.104 4.193179 80.63807 #> 284 0.100 4.031903 282.23323 #> 285 0.098 3.951265 161.27613 #> 286 0.098 4.101435 1046.28444 #> 287 0.094 4.252965 0.00000 #> 288 0.084 3.386799 0.00000 #> 289 0.084 4.064708 48.38938 #> 290 0.078 3.774372 48.38938 #> 291 0.076 3.180705 41.85138 #> 292 0.060 2.903363 48.38938 #> 293 0.058 2.806584 48.38938 #> 294 0.054 2.177228 40.31903 #> 295 0.050 2.092569 41.85138 #> 296 0.048 2.171727 135.73294 #> 297 0.044 1.774037 40.31903 #> 298 0.042 2.032354 48.38938 #> 299 0.036 1.506650 41.85138 #> 300 0.036 1.742018 48.38938 #> 301 0.034 1.645239 48.38938 #> 302 0.032 1.447818 90.48863 #> 303 0.032 1.548460 48.38938 #> 304 0.030 1.255541 83.70275 #> 305 0.022 0.887019 80.63807 #> 306 0.018 0.725743 40.31903 #> 307 0.018 0.871009 145.16814 #> 308 0.016 0.669622 41.85138 #> 309 0.014 0.633420 45.24431 #> 310 0.012 0.542932 0.00000 #> 311 0.010 0.452443 45.24431 #> 312 0.010 0.483894 48.38938 #> 313 0.008 0.322552 40.31903 #> 314 0.006 0.241914 40.31903 #> 315 0.006 0.251108 41.85138 #> 316 0.004 0.161276 40.31903 #> 317 0.004 0.167406 41.85138 #> 318 0.002 0.080638 40.31903 #> 319 0.002 0.090489 0.00000 #> 320 0.002 0.080638 40.31903 #> 321 0.002 0.080638 120.95710 #> 322 0.002 0.080638 40.31903 #> 323 0.002 0.083703 0.00000 #> 324 0.002 0.096779 0.00000 #> #> $catch$`2016` #> haul scientific_name common_name station count #> 130 3 Gadus macrocephalus Pacific cod 320-73 243 #> 131 7 Atheresthes stomias arrowtooth flounder 320-74 291 #> 132 3 Hippoglossus stenolepis Pacific halibut 320-73 133 #> 133 5 Hippoglossoides elassodon flathead sole 320-74 78 #> 134 5 Lepidopsetta bilineata southern rock sole 320-74 69 #> 135 3 Lepidopsetta bilineata southern rock sole 320-73 90 #> 136 3 Lepidopsetta polyxystra northern rock sole 320-73 103 #> 137 5 Hippoglossus stenolepis Pacific halibut 320-74 31 #> 138 4 Hippoglossoides elassodon flathead sole 324-73 133 #> 139 7 Gadus macrocephalus Pacific cod 320-74 10 #> 140 4 Atheresthes stomias arrowtooth flounder 324-73 54 #> 141 7 Lepidopsetta polyxystra northern rock sole 320-74 41 #> 142 3 Atheresthes stomias arrowtooth flounder 320-73 27 #> 143 7 Hippoglossus stenolepis Pacific halibut 320-74 12 #> 144 4 Hippoglossus stenolepis Pacific halibut 324-73 11 #> 145 7 Enteroctopus dofleini giant octopus 320-74 2 #> 146 5 Lepidopsetta polyxystra northern rock sole 320-74 26 #> 147 4 Anoplopoma fimbria sablefish 324-73 11 #> 148 4 Gadus chalcogrammus walleye pollock 324-73 10 #> 149 4 Lepidopsetta bilineata southern rock sole 324-73 6 #> 150 5 Atheresthes stomias arrowtooth flounder 320-74 8 #> 151 4 Parophrys vetulus English sole 324-73 6 #> 152 4 Glyptocephalus zachirus rex sole 324-73 29 #> 153 5 Gadus macrocephalus Pacific cod 320-74 4 #> 154 3 Anarrhichthys ocellatus wolf-eel 320-73 1 #> 155 4 Enteroctopus dofleini giant octopus 324-73 1 #> 156 4 Myoxocephalus polyacanthocephalus great sculpin 324-73 1 #> 157 3 Clupea pallasii Pacific herring 320-73 10 #> 158 7 Hemilepidotus jordani yellow Irish lord 320-74 6 #> 159 3 Pleurogrammus monopterygius Atka mackerel 320-73 5 #> 160 7 Glyptocephalus zachirus rex sole 320-74 7 #> 161 5 Hemilepidotus jordani yellow Irish lord 320-74 2 #> 162 7 Lepidopsetta bilineata southern rock sole 320-74 2 #> 163 4 Gadus macrocephalus Pacific cod 324-73 2 #> 164 7 Atheresthes evermanni Kamchatka flounder 320-74 8 #> 165 7 Chirona evermanni giant barnacle 320-74 NA #> 166 3 Hemilepidotus jordani yellow Irish lord 320-73 1 #> 167 5 Pycnopodia helianthoides sunflower sea star 320-74 1 #> 168 4 Gorgonocephalus eucnemis basketstar 324-73 4 #> 169 4 Thaliacea salp unid. 324-73 NA #> 170 3 Hippoglossoides elassodon flathead sole 320-73 1 #> 171 5 Pleurogrammus monopterygius Atka mackerel 320-74 1 #> 172 7 Sebastes polyspinis northern rockfish 320-74 2 #> 173 5 Gadus chalcogrammus walleye pollock 320-74 1 #> 174 7 Hippoglossoides elassodon flathead sole 320-74 1 #> 175 4 Fusitriton oregonensis Oregon triton 324-73 15 #> 176 4 Atheresthes evermanni Kamchatka flounder 324-73 5 #> 177 4 Podothecus accipenserinus sturgeon poacher 324-73 4 #> 178 5 Gorgonocephalus eucnemis basketstar 320-74 1 #> 179 7 Fusitriton oregonensis Oregon triton 320-74 9 #> 180 4 Sebastes polyspinis northern rockfish 324-73 1 #> 181 7 Pagurus trigonocheirus fuzzy hermit crab 320-74 5 #> 182 7 Thaliacea salp unid. 320-74 NA #> 183 4 Bathymaster signatus searcher 324-73 1 #> 184 7 Elassochirus cavimanus purple hermit 320-74 5 #> 185 4 Pagurus confragosus knobbyhand hermit 324-73 5 #> 186 7 Modiolus modiolus northern horsemussel 320-74 1 #> 187 5 Thaliacea salp unid. 320-74 NA #> 188 3 Ammodytes sp. sand lance unid. 320-73 2 #> 189 4 Pagurus aleuticus Aleutian hermit 324-73 3 #> 190 3 Fusitriton oregonensis Oregon triton 320-73 2 #> 191 7 Pagurus confragosus knobbyhand hermit 320-74 2 #> 192 4 Axinella blanca firm finger sponge 324-73 NA #> 193 7 Ceramaster patagonicus orange bat sea star 320-74 1 #> 194 3 Gorgonocephalus eucnemis basketstar 320-73 1 #> 195 4 Chaetopterus sp. parchment tubeworms 324-73 NA #> 196 5 Rajiformes egg case skate egg case unid. 320-74 4 #> 197 7 Alcyonidium pedunculatum fruit leather bryozoan 320-74 NA #> 198 4 Nudibranchia nudibranch unid. 324-73 1 #> 199 5 Ophiura sarsii notched brittlestar 320-74 6 #> 200 3 Ophiura sarsii notched brittlestar 320-73 5 #> 201 7 Metridium farcimen gigantic anemone 320-74 1 #> 202 4 Rajiformes egg case skate egg case unid. 324-73 NA #> 203 7 Hyas lyratus Pacific lyre crab 320-74 2 #> 204 4 Actiniaria sea anemone unid. 324-73 1 #> 205 4 Labidochirus splendescens splendid hermit 324-73 1 #> 206 7 Rajiformes egg case skate egg case unid. 320-74 NA #> 207 7 Styela rustica sea potato 320-74 NA #> weight_kg cpue_kgkm2 cpue_nokm2 #> 130 343.340 14793.441181 10470.10604 #> 131 136.844 6214.554539 13215.30627 #> 132 118.374 5100.363507 5730.55186 #> 133 67.768 3050.003623 3510.51060 #> 134 62.926 2832.081926 3105.45169 #> 135 59.940 2582.626156 3877.81705 #> 136 33.600 1447.718366 4437.94618 #> 137 28.166 1267.654380 1395.20293 #> 138 23.320 950.181635 5419.13196 #> 139 20.740 941.874405 454.13424 #> 140 20.212 823.545077 2200.24907 #> 141 20.080 911.901546 1861.95037 #> 142 17.950 773.409067 1163.34512 #> 143 15.040 683.017891 544.96108 #> 144 10.780 439.234907 448.19888 #> 145 10.220 464.125189 90.82685 #> 146 9.904 445.744834 1170.17020 #> 147 8.980 365.893271 448.19888 #> 148 8.680 353.669665 407.45353 #> 149 8.620 351.224944 244.47212 #> 150 8.320 374.454464 360.05237 #> 151 7.000 285.217472 244.47212 #> 152 6.612 269.408275 1181.61524 #> 153 6.080 273.639801 180.02618 #> 154 5.900 254.212451 43.08686 #> 155 5.562 226.625654 40.74535 #> 156 4.960 202.096951 40.74535 #> 157 4.320 186.135218 430.86856 #> 158 3.920 178.020621 272.48054 #> 159 3.870 166.746133 215.43428 #> 160 3.340 151.680835 317.89396 #> 161 2.540 114.316627 90.01309 #> 162 2.468 112.080329 90.82685 #> 163 2.240 91.269591 81.49071 #> 164 1.672 75.931244 363.30739 #> 165 1.508 68.483443 0.00000 #> 166 1.332 57.391692 43.08686 #> 167 1.320 59.408641 45.00655 #> 168 1.182 48.161007 162.98141 #> 169 1.072 43.679019 0.00000 #> 170 0.946 40.760166 43.08686 #> 171 0.910 40.955957 45.00655 #> 172 0.863 39.191785 90.82685 #> 173 0.754 33.934936 45.00655 #> 174 0.648 29.427898 45.41342 #> 175 0.500 20.372677 611.18030 #> 176 0.416 16.950067 203.72677 #> 177 0.360 14.668327 162.98141 #> 178 0.236 10.621545 45.00655 #> 179 0.226 10.263434 408.72081 #> 180 0.198 8.067580 40.74535 #> 181 0.186 8.446897 227.06712 #> 182 0.172 7.811109 0.00000 #> 183 0.152 6.193294 40.74535 #> 184 0.148 6.721187 227.06712 #> 185 0.142 5.785840 203.72677 #> 186 0.090 4.087208 45.41342 #> 187 0.088 3.960576 0.00000 #> 188 0.080 3.446948 86.17371 #> 189 0.066 2.689193 122.23606 #> 190 0.062 2.671385 86.17371 #> 191 0.060 2.724805 90.82685 #> 192 0.060 2.444721 0.00000 #> 193 0.058 2.633979 45.41342 #> 194 0.056 2.412864 43.08686 #> 195 0.054 2.200249 0.00000 #> 196 0.048 2.160314 180.02618 #> 197 0.044 1.998191 0.00000 #> 198 0.036 1.466833 40.74535 #> 199 0.032 1.440209 270.03928 #> 200 0.020 0.861737 215.43428 #> 201 0.020 0.908268 45.41342 #> 202 0.020 0.814907 0.00000 #> 203 0.018 0.817442 90.82685 #> 204 0.016 0.651926 40.74535 #> 205 0.008 0.325963 40.74535 #> 206 0.004 0.181654 0.00000 #> 207 0.002 0.090827 0.00000 #> #> $catch$`2018` #> haul scientific_name common_name station #> 43 2 Gadus chalcogrammus walleye pollock 325-76 #> 44 9 Atheresthes stomias arrowtooth flounder 320-74 #> 45 1 Gadus chalcogrammus walleye pollock 324-73 #> 46 2 Porifera sponge unid. 325-76 #> 47 1 Atheresthes stomias arrowtooth flounder 324-73 #> 48 2 Mycale loveni lampshade sponge 325-76 #> 49 9 Lepidopsetta polyxystra northern rock sole 320-74 #> 50 2 Sebastes polyspinis northern rockfish 325-76 #> 51 2 Gadus macrocephalus Pacific cod 325-76 #> 52 9 Gadus chalcogrammus walleye pollock 320-74 #> 53 9 Gadus macrocephalus Pacific cod 320-74 #> 54 2 Atheresthes stomias arrowtooth flounder 325-76 #> 55 9 Hemilepidotus jordani yellow Irish lord 320-74 #> 56 9 Hippoglossus stenolepis Pacific halibut 320-74 #> 57 9 Bathyraja aleutica Aleutian skate 320-74 #> 58 1 Hippoglossus stenolepis Pacific halibut 324-73 #> 59 9 Sebastes alutus Pacific ocean perch 320-74 #> 60 1 Gadus macrocephalus Pacific cod 324-73 #> 61 2 Lepidopsetta polyxystra northern rock sole 325-76 #> 62 10 Gadus macrocephalus Pacific cod 320-73 #> 63 2 Pododesmus macrochisma abalone jingle 325-76 #> 64 2 Enteroctopus dofleini giant octopus 325-76 #> 65 10 Hippoglossus stenolepis Pacific halibut 320-73 #> 66 2 Hemilepidotus jordani yellow Irish lord 325-76 #> 67 2 Hexagrammos decagrammus kelp greenling 325-76 #> 68 1 Hippoglossoides elassodon flathead sole 324-73 #> 69 2 Hippoglossus stenolepis Pacific halibut 325-76 #> 70 9 Sebastes polyspinis northern rockfish 320-74 #> 71 9 Glyptocephalus zachirus rex sole 320-74 #> 72 9 Lepidopsetta bilineata southern rock sole 320-74 #> 73 1 Chionoecetes bairdi Tanner crab 324-73 #> 74 1 Glyptocephalus zachirus rex sole 324-73 #> 75 2 Pleurogrammus monopterygius Atka mackerel 325-76 #> 76 9 Enteroctopus dofleini giant octopus 320-74 #> 77 2 Tethya sp. ball sponge 325-76 #> 78 9 Hippoglossoides elassodon flathead sole 320-74 #> 79 10 Anarrhichthys ocellatus wolf-eel 320-73 #> 80 9 Pleurogrammus monopterygius Atka mackerel 320-74 #> 81 10 Lepidopsetta bilineata southern rock sole 320-73 #> 82 1 Arctoraja parmifera Alaska skate 324-73 #> 83 2 Fusitriton oregonensis Oregon triton 325-76 #> 84 9 Atheresthes evermanni Kamchatka flounder 320-74 #> 85 2 Hippoglossoides elassodon flathead sole 325-76 #> 86 2 Myoxocephalus polyacanthocephalus great sculpin 325-76 #> 87 2 Isodictya rigida orange finger sponge 325-76 #> 88 1 Pycnopodia helianthoides sunflower sea star 324-73 #> 89 2 Lepidopsetta bilineata southern rock sole 325-76 #> 90 2 Sebastes alutus Pacific ocean perch 325-76 #> 91 1 Myoxocephalus polyacanthocephalus great sculpin 324-73 #> 92 1 Bathyraja interrupta Bering skate 324-73 #> 93 2 Sebastes variabilis dusky rockfish 325-76 #> 94 2 Zaprora silenus prowfish 325-76 #> 95 10 Pleurogrammus monopterygius Atka mackerel 320-73 #> 96 2 Cucumaria fallax sea football 325-76 #> 97 1 Sebastes polyspinis northern rockfish 324-73 #> 98 1 Anoplopoma fimbria sablefish 324-73 #> 99 1 Hemilepidotus jordani yellow Irish lord 324-73 #> 100 2 Bathymaster signatus searcher 325-76 #> 101 10 Atheresthes stomias arrowtooth flounder 320-73 #> 102 1 Fusitriton oregonensis Oregon triton 324-73 #> 103 1 Thaliacea salp unid. 324-73 #> 104 1 Pagurus ochotensis Alaskan hermit 324-73 #> 105 1 Gorgonocephalus eucnemis basketstar 324-73 #> 106 2 Modiolus modiolus northern horsemussel 325-76 #> 107 1 Metridium farcimen gigantic anemone 324-73 #> 108 9 Scyphozoa jellyfish unid. 320-74 #> 109 1 Triglops macellus roughspine sculpin 324-73 #> 110 2 Crystallichthys cyclospilus blotched snailfish 325-76 #> 111 2 Ceramaster patagonicus orange bat sea star 325-76 #> 112 1 Lepidopsetta polyxystra northern rock sole 324-73 #> 113 2 Aphrocallistes vastus clay pipe sponge 325-76 #> 114 2 Gorgonocephalus eucnemis basketstar 325-76 #> 115 1 Sarritor frenatus sawback poacher 324-73 #> 116 2 Pteraster militaris wrinkled star 325-76 #> 117 2 Scyphozoa jellyfish unid. 325-76 #> 118 2 Elassochirus gilli Pacific red hermit 325-76 #> 119 2 Podothecus accipenserinus sturgeon poacher 325-76 #> 120 2 Doris odhneri white night doris 325-76 #> 121 1 Atheresthes evermanni Kamchatka flounder 324-73 #> 122 1 Oregonia gracilis graceful decorator crab 324-73 #> 123 1 Stomphia coccinea swimming anemone 324-73 #> 124 2 Pagurus brandti sponge hermit 325-76 #> 125 2 Sarritor frenatus sawback poacher 325-76 #> 126 1 Crossaster papposus rose sea star 324-73 #> 127 1 Pagurus capillatus hairy hermit crab 324-73 #> 128 2 Elassochirus tenuimanus widehand hermit crab 325-76 #> 129 1 Ciliatocardium ciliatum hairy cockle 324-73 #> count weight_kg cpue_kgkm2 cpue_nokm2 #> 43 1616 1211.290 56195.947836 74971.84960 #> 44 1041 643.495 25096.701051 40599.64070 #> 45 489 399.642 15729.789050 19246.89308 #> 46 NA 227.830 10569.824564 0.00000 #> 47 357 98.418 3873.702911 14051.41274 #> 48 NA 75.420 3498.995605 0.00000 #> 49 99 50.810 1981.621272 3861.06093 #> 50 88 45.950 2131.780006 4082.62547 #> 51 12 42.680 1980.073355 556.72166 #> 52 35 28.595 1115.222599 1365.02154 #> 53 9 26.500 1033.516310 351.00554 #> 54 33 23.050 1069.369513 1530.98455 #> 55 29 20.740 808.872765 1131.01785 #> 56 9 18.849 735.122601 351.00554 #> 57 1 18.780 732.431559 39.00062 #> 58 11 18.470 726.973651 432.95670 #> 59 40 17.560 684.850808 1560.02462 #> 60 6 15.540 611.649731 236.15820 #> 61 54 13.025 604.274964 2505.24745 #> 62 4 11.950 534.815361 179.01769 #> 63 NA 11.200 519.606878 0.00000 #> 64 1 11.130 516.359335 46.39347 #> 65 6 9.534 426.688674 268.52654 #> 66 17 9.350 433.778957 788.68901 #> 67 30 9.346 433.593383 1391.80414 #> 68 37 9.250 364.077221 1456.30888 #> 69 5 9.080 421.252719 231.96736 #> 70 14 8.980 350.225527 546.00862 #> 71 13 7.520 293.284628 507.00800 #> 72 9 7.370 287.434536 351.00554 #> 73 25 6.900 271.581927 983.99249 #> 74 24 6.170 242.849346 944.63279 #> 75 10 5.740 266.298525 463.93471 #> 76 1 5.380 209.823311 39.00062 #> 77 NA 5.080 235.678834 0.00000 #> 78 8 4.875 190.128000 312.00492 #> 79 1 4.670 209.003158 44.75442 #> 80 3 4.300 167.702647 117.00185 #> 81 7 4.100 183.493136 313.28096 #> 82 1 3.580 140.907724 39.35970 #> 83 75 3.280 152.170586 3479.51035 #> 84 3 2.940 114.661809 117.00185 #> 85 4 2.914 135.190575 185.57388 #> 86 1 2.720 126.190242 46.39347 #> 87 NA 2.600 120.623025 0.00000 #> 88 1 2.504 98.556688 39.35970 #> 89 8 2.259 104.802852 371.14777 #> 90 30 2.159 100.163505 1391.80414 #> 91 1 1.890 74.389832 39.35970 #> 92 1 1.850 72.815444 39.35970 #> 93 4 1.632 75.714145 185.57388 #> 94 1 1.592 73.858406 46.39347 #> 95 1 1.140 51.020043 44.75442 #> 96 3 0.994 46.115110 139.18041 #> 97 2 0.990 38.966103 78.71940 #> 98 2 0.974 38.336347 78.71940 #> 99 1 0.880 34.636536 39.35970 #> 100 2 0.756 35.073464 92.78694 #> 101 2 0.730 32.670729 89.50885 #> 102 21 0.634 24.954050 826.55369 #> 103 5 0.452 17.790584 196.79850 #> 104 15 0.442 17.396987 590.39549 #> 105 1 0.430 16.924671 39.35970 #> 106 12 0.375 17.397552 556.72166 #> 107 3 0.360 14.169492 118.07910 #> 108 1 0.295 11.505182 39.00062 #> 109 5 0.292 11.493032 196.79850 #> 110 1 0.222 10.299351 46.39347 #> 111 4 0.200 9.278694 185.57388 #> 112 1 0.174 6.848588 39.35970 #> 113 NA 0.155 7.190988 0.00000 #> 114 2 0.145 6.727053 92.78694 #> 115 3 0.140 5.510358 118.07910 #> 116 2 0.100 4.639347 92.78694 #> 117 2 0.095 4.407380 92.78694 #> 118 2 0.085 3.943445 92.78694 #> 119 1 0.072 3.340330 46.39347 #> 120 2 0.055 2.551641 92.78694 #> 121 1 0.042 1.653107 39.35970 #> 122 1 0.042 1.653107 39.35970 #> 123 1 0.034 1.338230 39.35970 #> 124 2 0.030 1.391804 92.78694 #> 125 1 0.024 1.113443 46.39347 #> 126 1 0.014 0.551036 39.35970 #> 127 1 0.012 0.472316 39.35970 #> 128 1 0.005 0.231967 46.39347 #> 129 1 0.002 0.078719 39.35970 #> #> $catch$`2022` #> haul scientific_name common_name station #> 1 6 Gadus chalcogrammus walleye pollock 324-73 #> 2 5 Gadus chalcogrammus walleye pollock 326-76 #> 3 5 Atheresthes stomias arrowtooth flounder 326-76 #> 4 6 Atheresthes stomias arrowtooth flounder 324-73 #> 5 5 Gadus macrocephalus Pacific cod 326-76 #> 6 5 Hippoglossoides elassodon flathead sole 326-76 #> 7 6 Hippoglossus stenolepis Pacific halibut 324-73 #> 8 6 Enteroctopus dofleini giant octopus 324-73 #> 9 6 Hippoglossoides elassodon flathead sole 324-73 #> 10 5 Hemilepidotus jordani yellow Irish lord 326-76 #> 11 5 Lepidopsetta polyxystra northern rock sole 326-76 #> 12 6 Beringraja binoculata big skate 324-73 #> 13 6 Parophrys vetulus English sole 324-73 #> 14 5 Hippoglossus stenolepis Pacific halibut 326-76 #> 15 6 Glyptocephalus zachirus rex sole 324-73 #> 16 6 Chionoecetes bairdi Tanner crab 324-73 #> 17 6 Pycnopodia helianthoides sunflower sea star 324-73 #> 18 6 Myoxocephalus polyacanthocephalus great sculpin 324-73 #> 19 6 Gadus macrocephalus Pacific cod 324-73 #> 20 6 Fusitriton oregonensis Oregon triton 324-73 #> 21 5 Myoxocephalus polyacanthocephalus great sculpin 326-76 #> 22 6 Lepidopsetta bilineata southern rock sole 324-73 #> 23 6 Hemilepidotus jordani yellow Irish lord 324-73 #> 24 5 Pleurogrammus monopterygius Atka mackerel 326-76 #> 25 6 Lepidopsetta polyxystra northern rock sole 324-73 #> 26 5 Atheresthes evermanni Kamchatka flounder 326-76 #> 27 6 Microstomus pacificus Dover sole 324-73 #> 28 5 Sebastes alutus Pacific ocean perch 326-76 #> 29 5 Malacocottus zonurus darkfin sculpin 326-76 #> 30 5 Microstomus pacificus Dover sole 326-76 #> 31 5 Sebastes polyspinis northern rockfish 326-76 #> 32 6 Gorgonocephalus eucnemis basketstar 324-73 #> 33 6 Pennatuloidea sea whip or sea pen unid. 324-73 #> 34 6 Virgularia sp. smoothstem seawhip 324-73 #> 35 6 Porifera sponge unid. 324-73 #> 36 5 Fusitriton oregonensis Oregon triton 326-76 #> 37 5 Triglops forficatus scissortail sculpin 326-76 #> 38 5 Triglops scepticus spectacled sculpin 326-76 #> 39 6 Pagurus trigonocheirus fuzzy hermit crab 324-73 #> 40 5 Modiolus modiolus northern horsemussel 326-76 #> 41 6 Pagurus confragosus knobbyhand hermit 324-73 #> 42 6 Triglops macellus roughspine sculpin 324-73 #> count weight_kg cpue_kgkm2 cpue_nokm2 #> 1 1066 715.400 25276.726092 37664.22982 #> 2 620 569.090 22754.334435 24789.90555 #> 3 295 157.540 6299.035033 11795.19700 #> 4 201 134.890 4765.973697 7101.79193 #> 5 47 103.320 4131.117809 1879.23478 #> 6 104 55.660 2225.493779 4158.30674 #> 7 33 50.280 1776.507951 1165.96584 #> 8 2 24.500 865.641305 70.66460 #> 9 96 21.030 743.038230 3391.90062 #> 10 24 18.960 758.091305 959.60925 #> 11 37 16.840 673.325822 1479.39759 #> 12 1 15.560 549.770559 35.33230 #> 13 18 13.171 465.361699 635.98137 #> 14 6 8.480 339.061934 239.90231 #> 15 26 7.860 277.711863 918.63975 #> 16 25 6.400 226.126708 883.30745 #> 17 2 6.300 222.593478 70.66460 #> 18 2 4.865 171.891630 70.66460 #> 19 4 3.870 136.735994 141.32919 #> 20 77 3.145 111.120078 2720.58696 #> 21 1 3.085 123.349772 39.98372 #> 22 4 2.975 105.113587 141.32919 #> 23 5 2.940 103.876957 176.66149 #> 24 2 1.980 79.167763 79.96744 #> 25 2 1.455 51.408494 70.66460 #> 26 4 1.380 55.177532 159.93488 #> 27 5 1.280 45.225342 176.66149 #> 28 4 1.105 44.182009 159.93488 #> 29 2 0.975 38.984126 79.96744 #> 30 3 0.915 36.585103 119.95116 #> 31 1 0.860 34.385998 39.98372 #> 32 2 0.835 29.502469 70.66460 #> 33 1 0.240 8.479752 35.33230 #> 34 1 0.240 8.479752 35.33230 #> 35 NA 0.170 6.006491 0.00000 #> 36 3 0.140 5.597721 119.95116 #> 37 1 0.100 3.998372 39.98372 #> 38 2 0.085 3.398616 79.96744 #> 39 1 0.065 2.296599 35.33230 #> 40 1 0.060 2.399023 39.98372 #> 41 1 0.055 1.943276 35.33230 #> 42 1 0.020 0.706646 35.33230 #> #> #> $catch_means #> scientific_name common_name station #> 1 Pleurogrammus monopterygius Atka mackerel 326-76 #> 2 Gadus chalcogrammus walleye pollock 325-76 #> 3 Gadus chalcogrammus walleye pollock 321-74 #> 4 Gadus chalcogrammus walleye pollock 324-73 #> 5 Gadus chalcogrammus walleye pollock 326-76 #> 6 Atheresthes stomias arrowtooth flounder 320-74 #> 7 Lepidopsetta bilineata southern rock sole 321-74 #> 8 Porifera sponge unid. 325-76 #> 9 Tedania kagalaskai club sponge 325-76 #> 10 Mycale loveni lampshade sponge 325-76 #> 11 Lepidopsetta polyxystra northern rock sole 320-73 #> 12 Gadus macrocephalus Pacific cod 325-76 #> 13 Gadus macrocephalus Pacific cod 320-73 #> 14 Gadus macrocephalus Pacific cod 326-76 #> 15 Atheresthes stomias arrowtooth flounder 321-74 #> 16 Lepidopsetta bilineata southern rock sole 320-73 #> 17 Atheresthes stomias arrowtooth flounder 326-76 #> 18 Pleurogrammus monopterygius Atka mackerel 320-74 #> 19 Tedania kagalaskai club sponge 326-76 #> 20 Atheresthes stomias arrowtooth flounder 324-73 #> 21 Sebastes polyspinis northern rockfish 325-76 #> 22 Gadus macrocephalus Pacific cod 320-74 #> 23 Lepidopsetta polyxystra northern rock sole 325-76 #> 24 Hippoglossus stenolepis Pacific halibut 320-74 #> 25 Lepidopsetta polyxystra northern rock sole 320-74 #> 26 Hippoglossus stenolepis Pacific halibut 325-76 #> 27 Hippoglossus stenolepis Pacific halibut 320-73 #> 28 Gadus macrocephalus Pacific cod 321-74 #> 29 Hemilepidotus jordani yellow Irish lord 325-76 #> 30 Hippoglossus stenolepis Pacific halibut 321-74 #> 31 Lepidopsetta bilineata southern rock sole 320-74 #> 32 Lepidopsetta polyxystra northern rock sole 326-76 #> 33 Somniosus pacificus Pacific sleeper shark 324-73 #> 34 Hippoglossoides elassodon flathead sole 324-73 #> 35 Hippoglossus stenolepis Pacific halibut 326-76 #> 36 Pleurogrammus monopterygius Atka mackerel 325-76 #> 37 Hippoglossus stenolepis Pacific halibut 324-73 #> 38 Gadus macrocephalus Pacific cod 324-73 #> 39 Hippoglossoides elassodon flathead sole 321-74 #> 40 Lepidopsetta polyxystra northern rock sole 321-74 #> 41 Hippoglossoides elassodon flathead sole 325-76 #> 42 Bathyraja aleutica Aleutian skate 320-74 #> 43 Hemilepidotus jordani yellow Irish lord 326-76 #> 44 Atheresthes stomias arrowtooth flounder 325-76 #> 45 Hippoglossoides elassodon flathead sole 326-76 #> 46 Enteroctopus dofleini giant octopus 320-74 #> 47 Beringraja binoculata big skate 324-73 #> 48 Enteroctopus dofleini giant octopus 324-73 #> 49 Lepidopsetta bilineata southern rock sole 325-76 #> 50 Enteroctopus dofleini giant octopus 325-76 #> 51 Hippoglossoides elassodon flathead sole 320-74 #> 52 Pododesmus macrochisma abalone jingle 325-76 #> 53 Atheresthes stomias arrowtooth flounder 320-73 #> 54 Arctoraja parmifera Alaska skate 326-76 #> 55 Glyptocephalus zachirus rex sole 324-73 #> 56 Enteroctopus dofleini giant octopus 321-74 #> 57 Sebastes alutus Pacific ocean perch 320-74 #> 58 Sebastes variabilis dusky rockfish 320-74 #> 59 Parophrys vetulus English sole 324-73 #> 60 Chionoecetes bairdi Tanner crab 324-73 #> 61 Gadus chalcogrammus walleye pollock 320-74 #> 62 Metridium farcimen gigantic anemone 321-74 #> 63 Glyptocephalus zachirus rex sole 320-74 #> 64 Sebastes polyspinis northern rockfish 320-74 #> 65 Arctoraja parmifera Alaska skate 325-76 #> 66 Hemilepidotus jordani yellow Irish lord 320-74 #> 67 Hexagrammos decagrammus kelp greenling 325-76 #> 68 Tethya sp. ball sponge 325-76 #> 69 Myoxocephalus polyacanthocephalus great sculpin 320-73 #> 70 Anarrhichthys ocellatus wolf-eel 320-73 #> 71 Arctoraja parmifera Alaska skate 324-73 #> 72 Anarrhichthys ocellatus wolf-eel 320-74 #> 73 Monanchora pulchra yellow leafy sponge 325-76 #> 74 Mycale loveni lampshade sponge 326-76 #> 75 Myoxocephalus polyacanthocephalus great sculpin 320-74 #> 76 Clupea pallasii Pacific herring 320-73 #> 77 Myoxocephalus polyacanthocephalus great sculpin 324-73 #> 78 Lepidopsetta bilineata southern rock sole 326-76 #> 79 Squalus suckleyi spiny dogfish 326-76 #> 80 Oncorhynchus keta chum salmon 325-76 #> 81 Anoplopoma fimbria sablefish 324-73 #> 82 Porifera sponge unid. 321-74 #> 83 Pycnopodia helianthoides sunflower sea star 324-73 #> 84 Bathymaster signatus searcher 325-76 #> 85 Myoxocephalus polyacanthocephalus great sculpin 325-76 #> 86 Pleurogrammus monopterygius Atka mackerel 320-73 #> 87 Myoxocephalus polyacanthocephalus great sculpin 326-76 #> 88 Lepidopsetta bilineata southern rock sole 324-73 #> 89 Isodictya rigida orange finger sponge 325-76 #> 90 Fusitriton oregonensis Oregon triton 325-76 #> 91 Atheresthes evermanni Kamchatka flounder 320-74 #> 92 Pleurogrammus monopterygius Atka mackerel 324-73 #> 93 Hemilepidotus jordani yellow Irish lord 321-74 #> 94 Chirona evermanni giant barnacle 320-74 #> 95 Hemilepidotus jordani yellow Irish lord 324-73 #> 96 Sebastes variabilis dusky rockfish 326-76 #> 97 Pleuronectes quadrituberculatus Alaska plaice 324-73 #> 98 Strongylocentrotus droebachiensis green sea urchin 321-74 #> 99 Sebastes variabilis dusky rockfish 325-76 #> 100 Zaprora silenus prowfish 325-76 #> 101 Pleurogrammus monopterygius Atka mackerel 321-74 #> 102 Bathyraja interrupta Bering skate 324-73 #> 103 Sebastes variabilis dusky rockfish 324-73 #> 104 Bathyraja taranetzi mud skate 320-74 #> 105 Hexagrammos decagrammus kelp greenling 320-74 #> 106 Hemitripterus bolini bigmouth sculpin 326-76 #> 107 Hemilepidotus jordani yellow Irish lord 320-73 #> 108 Aptocyclus ventricosus smooth lumpsucker 320-73 #> 109 Lethasterias nanimensis blackspined sea star 325-76 #> 110 Sebastes ciliatus dark rockfish 321-74 #> 111 Pycnopodia helianthoides sunflower sea star 320-74 #> 112 Sebastes alutus Pacific ocean perch 325-76 #> 113 Zoanthidae sp. A hot dog zoanthid 325-76 #> 114 Aptocyclus ventricosus smooth lumpsucker 320-74 #> 115 Cucumaria fallax sea football 325-76 #> 116 Tethya sp. ball sponge 326-76 #> 117 Sebastes variabilis dusky rockfish 321-74 #> 118 Limanda aspera yellowfin sole 321-74 #> 119 Lepidopsetta polyxystra northern rock sole 324-73 #> 120 Gymnocanthus galeatus armorhead sculpin 324-73 #> 121 Gadus chalcogrammus walleye pollock 320-73 #> 122 Lethasterias nanimensis blackspined sea star 320-73 #> 123 Hippoglossoides elassodon flathead sole 320-73 #> 124 Glyptocephalus zachirus rex sole 321-74 #> 125 Malacocottus zonurus darkfin sculpin 326-76 #> 126 Microstomus pacificus Dover sole 326-76 #> 127 Fusitriton oregonensis Oregon triton 324-73 #> 128 Berryteuthis magister magistrate armhook squid 321-74 #> 129 Porifera sponge unid. 326-76 #> 130 Fusitriton oregonensis Oregon triton 321-74 #> 131 Sebastes melanostictus blackspotted rockfish 320-74 #> 132 Malacocottus zonurus darkfin sculpin 320-74 #> 133 Sebastes polyspinis northern rockfish 326-76 #> 134 Atheresthes evermanni Kamchatka flounder 326-76 #> 135 Scyphozoa jellyfish unid. 320-74 #> 136 Thaliacea salp unid. 321-74 #> 137 Pagurus brandti sponge hermit 325-76 #> 138 Sebastes alutus Pacific ocean perch 326-76 #> 139 Metridium farcimen gigantic anemone 320-74 #> 140 Thaliacea salp unid. 324-73 #> 141 Podothecus accipenserinus sturgeon poacher 324-73 #> 142 Gymnocanthus galeatus armorhead sculpin 325-76 #> 143 Lethasterias nanimensis blackspined sea star 326-76 #> 144 Atheresthes evermanni Kamchatka flounder 320-73 #> 145 Gorgonocephalus eucnemis basketstar 324-73 #> 146 Halocynthia aurantium sea peach 326-76 #> 147 Gymnocanthus galeatus armorhead sculpin 326-76 #> 148 Berryteuthis magister magistrate armhook squid 320-74 #> 149 Microstomus pacificus Dover sole 324-73 #> 150 Porifera sponge unid. 324-73 #> 151 Sebastes alutus Pacific ocean perch 324-73 #> 152 Triglops forficatus scissortail sculpin 326-76 #> 153 Fusitriton oregonensis Oregon triton 326-76 #> 154 Sebastes variegatus harlequin rockfish 326-76 #> 155 Porifera sponge unid. 320-74 #> 156 Holothuroidea sea cucumber unid. 320-74 #> 157 Axinella blanca firm finger sponge 326-76 #> 158 Pagurus ochotensis Alaskan hermit 324-73 #> 159 Berryteuthis magister magistrate armhook squid 326-76 #> 160 Berryteuthis magister magistrate armhook squid 324-73 #> 161 Hemilepidotus hemilepidotus red Irish lord 320-73 #> 162 Gorgonocephalus eucnemis basketstar 321-74 #> 163 Isodictya palmata prickly pear sponge 325-76 #> 164 Atheresthes evermanni Kamchatka flounder 324-73 #> 165 Modiolus modiolus northern horsemussel 325-76 #> 166 Crossaster papposus rose sea star 325-76 #> 167 Sebastes polyspinis northern rockfish 324-73 #> 168 Metridium farcimen gigantic anemone 324-73 #> 169 Clupea pallasii Pacific herring 324-73 #> 170 Lethasterias nanimensis blackspined sea star 324-73 #> 171 Chionoecetes bairdi Tanner crab 321-74 #> 172 Strongylocentrotus droebachiensis green sea urchin 320-74 #> 173 Thaliacea salp unid. 320-73 #> 174 Serpulidae serpulid worm 321-74 #> 175 Gymnocanthus galeatus armorhead sculpin 321-74 #> 176 Lethasterias nanimensis blackspined sea star 321-74 #> 177 Scyphozoa jellyfish unid. 324-73 #> 178 Lethasterias nanimensis blackspined sea star 320-74 #> 179 Mediaster aequalis vermilion sea star 325-76 #> 180 Sebastes ciliatus dark rockfish 325-76 #> 181 Crystallichthys cyclospilus blotched snailfish 325-76 #> 182 Strongylocentrotus droebachiensis green sea urchin 326-76 #> 183 Gorgonocephalus eucnemis basketstar 326-76 #> 184 Halocynthia aurantium sea peach 320-73 #> 185 Strongylocentrotus droebachiensis green sea urchin 320-73 #> 186 Ceramaster patagonicus orange bat sea star 325-76 #> 187 Fusitriton oregonensis Oregon triton 320-74 #> 188 Stelodoryx oxeata scapula sponge 324-73 #> 189 Pagurus trigonocheirus fuzzy hermit crab 324-73 #> 190 Axinella blanca firm finger sponge 324-73 #> 191 Pennatuloidea sea whip or sea pen unid. 324-73 #> 192 Virgularia sp. smoothstem seawhip 324-73 #> 193 Pagurus trigonocheirus fuzzy hermit crab 320-74 #> 194 Elassochirus cavimanus purple hermit 325-76 #> 195 Crystallichthys cyclospilus blotched snailfish 320-74 #> 196 Modiolus modiolus northern horsemussel 326-76 #> 197 Sebastes ciliatus dark rockfish 320-74 #> 198 Ceramaster japonicus red bat star 325-76 #> 199 Cheiraster dawsoni fragile sea star 325-76 #> 200 Pagurus brandti sponge hermit 320-74 #> 201 Aphrocallistes vastus clay pipe sponge 325-76 #> 202 Triglops forficatus scissortail sculpin 325-76 #> 203 Pagurus brandti sponge hermit 324-73 #> 204 Strongylocentrotus droebachiensis green sea urchin 324-73 #> 205 Gorgonocephalus eucnemis basketstar 320-74 #> 206 Gorgonocephalus eucnemis basketstar 325-76 #> 207 Gymnocanthus galeatus armorhead sculpin 320-74 #> 208 Pagurus cornutus hornyhand hermit 320-74 #> 209 Acantholithodes hispidus fuzzy crab 325-76 #> 210 Ascidiacea tunicate unid. 326-76 #> 211 Bathymaster signatus searcher 324-73 #> 212 Monanchora pulchra yellow leafy sponge 324-73 #> 213 Pagurus ochotensis Alaskan hermit 321-74 #> 214 Erimacrus isenbeckii horsehair crab 324-73 #> 215 Triglops macellus roughspine sculpin 324-73 #> 216 Scyphozoa jellyfish unid. 320-73 #> 217 Elassochirus cavimanus purple hermit 320-74 #> 218 Bathymaster signatus searcher 326-76 #> 219 Thaliacea salp unid. 320-74 #> 220 Solaster dawsoni morning sun sea star 320-74 #> 221 Atheresthes evermanni Kamchatka flounder 321-74 #> 222 Elassochirus cavimanus purple hermit 321-74 #> 223 Actiniaria sea anemone unid. 320-74 #> 224 Actiniaria sea anemone unid. 326-76 #> 225 Mycale loveni lampshade sponge 324-73 #> 226 Pyrulofusus harpa left-hand whelk 320-74 #> 227 Scyphozoa jellyfish unid. 325-76 #> 228 Crystallichthys cyclospilus blotched snailfish 326-76 #> 229 Pododesmus macrochisma abalone jingle 326-76 #> 230 Elassochirus gilli Pacific red hermit 325-76 #> 231 Scyphozoa jellyfish unid. 321-74 #> 232 Monanchora pulchra yellow leafy sponge 326-76 #> 233 Pagurus confragosus knobbyhand hermit 324-73 #> 234 Modiolus modiolus northern horsemussel 320-74 #> 235 Echinarachnius parma parma sand dollar 321-74 #> 236 Podothecus accipenserinus sturgeon poacher 321-74 #> 237 Axinella blanca firm finger sponge 325-76 #> 238 Sarritor frenatus sawback poacher 324-73 #> 239 Pagurus confragosus knobbyhand hermit 320-74 #> 240 Tethya sp. ball sponge 324-73 #> 241 Pagurus aleuticus Aleutian hermit 324-73 #> 242 Ammodytes sp. sand lance unid. 320-73 #> 243 Ascidiacea tunicate unid. 320-74 #> 244 Annelida worm unid. 324-73 #> 245 Podothecus accipenserinus sturgeon poacher 325-76 #> 246 Thaliacea salp unid. 326-76 #> 247 Pododesmus macrochisma abalone jingle 324-73 #> 248 Elassochirus cavimanus purple hermit 326-76 #> 249 Triglops scepticus spectacled sculpin 320-74 #> 250 Bryozoa bryozoan unid. 326-76 #> 251 Triglops macellus roughspine sculpin 321-74 #> 252 Podothecus accipenserinus sturgeon poacher 320-73 #> 253 Ceramaster japonicus red bat star 326-76 #> 254 Elassochirus tenuimanus widehand hermit crab 326-76 #> 255 Pteraster militaris wrinkled star 325-76 #> 256 Diplopteraster multipes pincushion sea star 326-76 #> 257 Fusitriton oregonensis Oregon triton 320-73 #> 258 Pteraster militaris wrinkled star 326-76 #> 259 Ascidia paratropa glassy tunicate 325-76 #> 260 Pseudarchaster parelii scarlet sea star 325-76 #> 261 Ceramaster patagonicus orange bat sea star 320-74 #> 262 Doris odhneri white night doris 325-76 #> 263 Pagurus confragosus knobbyhand hermit 326-76 #> 264 Sarritor frenatus sawback poacher 321-74 #> 265 Elassochirus tenuimanus widehand hermit crab 321-74 #> 266 Gorgonocephalus eucnemis basketstar 320-73 #> 267 Triglops scepticus spectacled sculpin 326-76 #> 268 Cyanea capillata lion's mane jelly 324-73 #> 269 Serripes notabilis oblique smoothcockle 324-73 #> 270 Chaetopterus sp. parchment tubeworms 324-73 #> 271 Ophiura sarsii notched brittlestar 320-74 #> 272 Diplopteraster multipes pincushion sea star 320-74 #> 273 Sarritor frenatus sawback poacher 326-76 #> 274 Pagurus brandti sponge hermit 326-76 #> 275 Alcyonidium pedunculatum fruit leather bryozoan 320-74 #> 276 Ophiura sarsii notched brittlestar 321-74 #> 277 Hyas lyratus Pacific lyre crab 326-76 #> 278 Chaetopterus sp. parchment tubeworms 325-76 #> 279 Pagurus aleuticus Aleutian hermit 325-76 #> 280 Nudibranchia nudibranch unid. 326-76 #> 281 Elassochirus tenuimanus widehand hermit crab 320-74 #> 282 Crossaster papposus rose sea star 324-73 #> 283 Crossaster papposus rose sea star 321-74 #> 284 Hyas lyratus Pacific lyre crab 320-74 #> 285 Oregonia gracilis graceful decorator crab 324-73 #> 286 Pseudarchaster parelii scarlet sea star 326-76 #> 287 Ophiura sarsii notched brittlestar 326-76 #> 288 Pagurus ochotensis Alaskan hermit 326-76 #> 289 Rhinolithodes wosnessenskii rhinoceros crab 325-76 #> 290 Pseudarchaster parelii scarlet sea star 324-73 #> 291 Nudibranchia nudibranch unid. 324-73 #> 292 Hyas lyratus Pacific lyre crab 321-74 #> 293 Sebastes sp. white spotted red rockfish unid. 326-76 #> 294 Stomphia coccinea swimming anemone 324-73 #> 295 Pagurus aleuticus Aleutian hermit 321-74 #> 296 Pagurus aleuticus Aleutian hermit 320-74 #> 297 Cheiraster dawsoni fragile sea star 321-74 #> 298 Actiniaria sea anemone unid. 321-74 #> 299 Henricia aspera ridged blood star 321-74 #> 300 Rajiformes egg case skate egg case unid. 320-74 #> 301 Ammodytes sp. sand lance unid. 320-74 #> 302 Ceramaster patagonicus orange bat sea star 326-76 #> 303 Sarritor frenatus sawback poacher 325-76 #> 304 Metridium farcimen gigantic anemone 326-76 #> 305 Halocynthia aurantium sea peach 321-74 #> 306 Pseudarchaster parelii scarlet sea star 321-74 #> 307 Cheiraster dawsoni fragile sea star 320-74 #> 308 Aptocyclus ventricosus smooth lumpsucker 326-76 #> 309 Chirona evermanni giant barnacle 324-73 #> 310 Modiolus modiolus northern horsemussel 321-74 #> 311 Rajiformes egg case skate egg case unid. 324-73 #> 312 Cucumaria fallax sea football 320-74 #> 313 Leptychaster arcticus North Pacific sea star 325-76 #> 314 Castaneobuccinum castaneum chestnut whelk 320-74 #> 315 Ophiura sarsii notched brittlestar 320-73 #> 316 Pagurus aleuticus Aleutian hermit 326-76 #> 317 Tritonia tetraquetra rosy Tritonia 326-76 #> 318 Elassochirus tenuimanus widehand hermit crab 325-76 #> 319 Pagurus brandti sponge hermit 321-74 #> 320 Actiniaria sea anemone unid. 324-73 #> 321 Porella compressa flattened bryozoan 325-76 #> 322 Ceramaster arcticus Arctic bat sea star 320-74 #> 323 Mycale loveni lampshade sponge 320-74 #> 324 Porifera sponge unid. 320-73 #> 325 Buccinum plectrum sinuous whelk 320-73 #> 326 Pedicellaster magister majestic sea star 326-76 #> 327 Pagurus capillatus hairy hermit crab 324-73 #> 328 Ctenodiscus crispatus common mud star 321-74 #> 329 Pedicellaster magister majestic sea star 325-76 #> 330 Buccinum scalariforme ladder whelk 326-76 #> 331 Cheiraster dawsoni fragile sea star 326-76 #> 332 Eumicrotremus sp. spiny lumpsuckers 326-76 #> 333 Laqueus erythraeus California lamp shell 326-76 #> 334 Hyas lyratus Pacific lyre crab 324-73 #> 335 Cheiraster dawsoni fragile sea star 324-73 #> 336 Pagurus brandti sponge hermit 320-73 #> 337 Pagurus rathbuni longfinger hermit 324-73 #> 338 Pagurus dalli whiteknee hermit 326-76 #> 339 Labidochirus splendescens splendid hermit 324-73 #> 340 Keenocardium blandum low-rib cockle 320-74 #> 341 Dasycottus setiger spinyhead sculpin 324-73 #> 342 Leptasterias hylodes Aleutian sea star 325-76 #> 343 Periphylla periphylla helmet jelly 321-74 #> 344 Labidochirus splendescens splendid hermit 320-74 #> 345 Isopoda isopod unid. 326-76 #> 346 Ophiuroidea brittlestar unid. 326-76 #> 347 Bulbus fragilis fragile moonsnail 320-73 #> 348 Notostomum cyclostomum striped sea leech 320-73 #> 349 Argis lar kuro argid 324-73 #> 350 Rhamphocottus richardsonii grunt sculpin 321-74 #> 351 Pagurus tanneri longhand hermit 324-73 #> 352 Styela rustica sea potato 320-74 #> 353 Hydroidolina hydroid unid. 326-76 #> 354 Cryptonatica aleutica Aleutian moonsnail 321-74 #> 355 Nudibranchia nudibranch unid. 325-76 #> 356 Ophiura sarsii notched brittlestar 325-76 #> 357 Oregonia gracilis graceful decorator crab 325-76 #> 358 Bryozoa bryozoan unid. 320-74 #> 359 Crangon dalli ridged Crangon 324-73 #> 360 Chaetopterus sp. parchment tubeworms 321-74 #> 361 Eunoe nodosa giant scale worm 320-74 #> 362 Ophiuroidea brittlestar unid. 320-74 #> 363 Paguridae hermit crab unid. 320-74 #> 364 Polychaeta polychaete worm unid. 320-74 #> 365 Ciliatocardium ciliatum hairy cockle 324-73 #> 366 Stomphia coccinea swimming anemone 321-74 #> 367 Hydroidolina hydroid unid. 320-74 #> 368 Eunoe nodosa giant scale worm 324-73 #> count weight_kg cpue_kgkm2 cpue_nokm2 Freq #> 1 1497.4 1789.34 94902.36 80347.06 25 #> 2 1234.3 1251.75 55114.50 54838.15 34 #> 3 854.2 784.69 35510.05 38670.66 34 #> 4 423.0 407.05 15854.10 16269.08 34 #> 5 258.0 230.71 10309.60 11631.29 34 #> 6 221.2 151.60 6297.82 9178.62 39 #> 7 156.0 122.81 5322.45 6727.62 36 #> 8 NaN 94.37 4367.10 0.00 16 #> 9 NaN 84.54 3852.22 0.00 3 #> 10 NaN 74.86 3438.86 0.00 8 #> 11 150.2 77.45 3416.72 6626.83 38 #> 12 23.0 70.91 3113.01 1012.85 41 #> 13 47.3 69.07 2993.11 2049.81 41 #> 14 31.1 62.01 2889.40 1430.62 41 #> 15 144.2 70.02 2871.40 5917.14 39 #> 16 78.8 57.65 2582.22 3502.65 36 #> 17 111.3 56.72 2534.58 5006.63 39 #> 18 40.8 60.12 2446.28 1661.49 25 #> 19 NaN 43.86 2421.75 0.00 3 #> 20 200.9 58.01 2263.72 8033.58 39 #> 21 88.0 45.95 2131.78 4082.63 10 #> 22 22.0 43.21 1917.41 970.52 41 #> 23 108.7 42.69 1885.36 4838.62 38 #> 24 29.2 42.39 1857.68 1291.25 42 #> 25 80.6 40.60 1745.75 3487.95 38 #> 26 28.7 38.12 1681.20 1245.72 42 #> 27 41.8 37.27 1648.29 1844.99 42 #> 28 17.2 33.80 1425.89 714.21 41 #> 29 33.0 26.45 1188.56 1487.43 34 #> 30 24.5 27.32 1184.01 1067.25 42 #> 31 35.5 26.88 1176.37 1553.87 36 #> 32 51.6 24.46 1113.64 2350.01 38 #> 33 1.0 25.80 1108.64 42.97 1 #> 34 132.5 25.88 1038.67 5326.48 32 #> 35 13.6 20.94 1032.25 632.12 42 #> 36 18.0 21.93 962.55 799.10 25 #> 37 13.1 22.24 883.73 516.84 42 #> 38 12.8 21.63 878.48 518.49 41 #> 39 28.2 19.76 825.23 1182.22 32 #> 40 39.7 19.34 811.66 1653.08 38 #> 41 27.0 18.41 797.25 1170.00 32 #> 42 1.0 18.78 732.43 39.00 1 #> 43 22.3 15.67 713.58 1014.33 34 #> 44 29.7 15.60 706.91 1346.77 39 #> 45 26.7 15.15 645.96 1132.80 32 #> 46 2.0 14.03 580.53 83.59 9 #> 47 1.0 15.41 569.75 36.99 2 #> 48 1.2 13.81 537.63 48.98 9 #> 49 18.0 12.20 534.53 794.72 36 #> 50 1.0 11.13 516.36 46.39 9 #> 51 14.4 11.54 511.25 635.90 32 #> 52 114.0 10.46 483.02 2619.58 8 #> 53 17.5 10.06 460.45 821.13 39 #> 54 1.0 9.20 459.19 49.91 6 #> 55 39.0 10.69 432.37 1573.45 16 #> 56 1.0 10.25 428.98 41.85 9 #> 57 24.0 10.62 416.61 941.29 11 #> 58 12.0 9.85 402.84 490.12 8 #> 59 12.0 10.09 375.29 440.23 2 #> 60 21.3 9.00 368.95 859.29 8 #> 61 7.8 7.46 303.01 312.63 34 #> 62 30.5 6.73 290.40 1331.68 8 #> 63 10.3 6.59 282.28 443.79 16 #> 64 11.0 7.00 279.66 440.75 10 #> 65 1.0 5.98 274.83 45.96 6 #> 66 9.0 6.48 273.66 380.43 34 #> 67 14.7 5.45 248.30 673.30 5 #> 68 NaN 5.08 235.68 0.00 3 #> 69 1.0 4.46 233.08 52.31 13 #> 70 1.0 5.28 231.61 43.92 3 #> 71 1.2 5.21 208.19 50.19 6 #> 72 1.0 4.48 202.69 45.24 3 #> 73 NaN 4.32 193.94 0.00 4 #> 74 NaN 3.52 192.81 0.00 8 #> 75 1.5 4.20 189.18 67.49 13 #> 76 10.0 4.32 186.14 430.87 2 #> 77 2.1 4.34 173.41 84.65 13 #> 78 4.2 3.66 171.97 195.02 36 #> 79 1.0 3.10 154.73 49.91 1 #> 80 1.0 3.12 143.39 45.96 1 #> 81 4.7 3.40 137.83 188.52 3 #> 82 NaN 3.28 137.11 0.00 16 #> 83 1.3 3.51 130.05 50.03 4 #> 84 10.0 2.75 126.46 460.01 4 #> 85 1.0 2.72 126.19 46.39 13 #> 86 4.0 2.81 125.57 181.32 25 #> 87 1.0 3.08 123.35 39.98 13 #> 88 2.8 3.04 121.64 111.84 36 #> 89 NaN 2.60 120.62 0.00 1 #> 90 48.3 2.56 117.78 2228.10 29 #> 91 5.5 2.81 115.01 231.92 14 #> 92 3.0 2.53 97.77 115.94 25 #> 93 2.0 2.25 91.84 82.00 34 #> 94 NaN 1.97 83.31 0.00 3 #> 95 3.3 2.04 80.51 129.83 34 #> 96 1.0 1.60 79.96 49.91 8 #> 97 1.0 2.03 78.61 38.65 1 #> 98 29.0 2.10 77.66 1079.90 9 #> 99 4.0 1.63 75.71 185.57 8 #> 100 1.0 1.59 73.86 46.39 1 #> 101 2.0 1.67 72.86 86.28 25 #> 102 1.0 1.85 72.82 39.36 1 #> 103 4.3 1.75 71.21 177.16 8 #> 104 1.0 1.72 69.43 40.32 1 #> 105 3.0 1.48 67.66 135.87 5 #> 106 1.3 1.30 67.22 65.20 3 #> 107 1.7 1.38 65.32 81.23 34 #> 108 1.0 1.41 63.18 44.68 3 #> 109 10.0 1.35 61.95 459.58 8 #> 110 1.0 1.33 60.04 45.28 3 #> 111 1.0 1.32 59.41 45.01 4 #> 112 15.3 1.30 59.24 699.86 11 #> 113 NaN 1.23 56.53 0.00 1 #> 114 1.0 1.11 50.22 45.24 3 #> 115 2.5 1.08 49.94 115.55 3 #> 116 NaN 0.84 46.38 0.00 3 #> 117 1.0 1.28 46.23 36.06 8 #> 118 1.0 1.00 45.10 45.28 1 #> 119 2.2 1.13 45.05 87.06 38 #> 120 4.2 1.04 43.82 178.38 14 #> 121 1.7 0.86 42.73 81.76 34 #> 122 3.0 0.79 41.11 156.92 8 #> 123 1.0 0.95 40.76 43.09 32 #> 124 1.5 0.92 40.36 64.06 16 #> 125 2.0 0.98 38.98 79.97 2 #> 126 3.0 0.92 36.59 119.95 4 #> 127 25.2 0.92 35.40 979.53 29 #> 128 3.5 0.80 34.83 150.84 7 #> 129 NaN 0.71 34.15 0.00 16 #> 130 14.2 0.73 31.41 616.73 29 #> 131 1.0 0.77 31.05 40.32 1 #> 132 1.0 0.73 29.51 40.32 2 #> 133 1.0 0.65 29.40 47.60 10 #> 134 2.0 0.67 29.24 87.78 14 #> 135 1.0 0.64 28.84 13.00 8 #> 136 NaN 0.70 27.05 0.00 10 #> 137 15.5 0.59 27.03 712.78 9 #> 138 3.0 0.58 26.95 141.65 11 #> 139 4.0 0.55 25.37 183.98 8 #> 140 5.0 0.62 25.21 65.60 10 #> 141 7.8 0.59 24.03 321.68 12 #> 142 2.0 0.52 23.07 88.85 14 #> 143 3.0 0.45 22.58 147.04 8 #> 144 2.0 0.52 22.50 87.36 14 #> 145 2.2 0.57 22.21 87.75 13 #> 146 4.5 0.50 21.98 199.86 4 #> 147 1.7 0.43 19.77 75.99 14 #> 148 2.0 0.44 19.72 89.61 7 #> 149 2.3 0.53 19.20 85.12 4 #> 150 NaN 0.46 19.16 0.00 16 #> 151 5.0 0.45 18.86 210.62 11 #> 152 4.2 0.39 18.43 197.78 7 #> 153 9.5 0.41 18.09 423.45 29 #> 154 1.0 0.32 17.89 55.22 1 #> 155 NaN 0.39 17.84 0.00 16 #> 156 11.0 0.44 17.74 443.51 1 #> 157 NaN 0.32 17.45 0.00 4 #> 158 15.0 0.44 17.40 590.40 5 #> 159 1.5 0.38 17.18 68.03 7 #> 160 2.0 0.43 17.15 80.13 7 #> 161 1.0 0.39 17.04 43.68 1 #> 162 3.5 0.34 15.69 162.66 13 #> 163 NaN 0.36 15.61 0.00 1 #> 164 4.0 0.37 15.33 166.30 14 #> 165 10.5 0.32 14.90 485.17 9 #> 166 8.0 0.31 14.43 367.66 5 #> 167 1.2 0.36 14.39 51.27 10 #> 168 3.0 0.36 14.17 118.08 8 #> 169 1.0 0.37 14.14 38.65 2 #> 170 3.0 0.34 14.08 125.67 8 #> 171 2.0 0.30 13.87 93.74 8 #> 172 4.5 0.34 13.69 183.47 9 #> 173 NaN 0.29 12.78 0.00 10 #> 174 NaN 0.29 12.30 0.00 1 #> 175 1.7 0.28 12.13 73.42 14 #> 176 1.0 0.27 11.85 44.92 8 #> 177 1.0 0.29 11.21 38.65 8 #> 178 1.0 0.27 11.05 40.32 8 #> 179 4.0 0.23 10.66 183.83 1 #> 180 1.0 0.23 10.39 45.96 3 #> 181 1.0 0.22 10.30 46.39 3 #> 182 5.3 0.22 10.09 241.23 9 #> 183 1.0 0.21 9.88 47.04 13 #> 184 1.0 0.22 9.70 43.68 4 #> 185 7.0 0.18 9.42 366.15 9 #> 186 4.0 0.20 9.28 185.57 3 #> 187 7.4 0.21 9.00 313.22 29 #> 188 NaN 0.23 8.89 0.00 1 #> 189 1.0 0.21 8.69 38.61 3 #> 190 NaN 0.20 8.63 0.00 4 #> 191 1.0 0.24 8.48 35.33 1 #> 192 1.0 0.24 8.48 35.33 1 #> 193 5.0 0.19 8.45 227.07 3 #> 194 5.0 0.18 8.18 229.79 8 #> 195 1.0 0.18 8.05 45.24 3 #> 196 2.0 0.17 8.05 88.81 9 #> 197 1.0 0.20 7.98 40.32 3 #> 198 3.0 0.17 7.72 137.87 2 #> 199 11.0 0.17 7.72 505.53 5 #> 200 9.0 0.18 7.38 364.80 9 #> 201 NaN 0.16 7.19 0.00 1 #> 202 5.0 0.16 7.17 229.79 7 #> 203 8.0 0.17 7.16 341.10 9 #> 204 1.0 0.18 7.13 40.07 9 #> 205 1.0 0.17 7.07 42.81 13 #> 206 2.0 0.14 6.73 92.79 13 #> 207 2.0 0.16 6.54 84.35 14 #> 208 5.0 0.16 6.29 201.60 1 #> 209 4.0 0.14 6.25 183.83 1 #> 210 13.0 0.14 6.23 578.66 2 #> 211 1.0 0.15 6.19 40.75 4 #> 212 NaN 0.14 6.19 0.00 4 #> 213 2.5 0.15 6.15 106.36 5 #> 214 1.0 0.15 6.12 41.89 1 #> 215 3.0 0.16 6.10 116.07 3 #> 216 NaN 0.13 5.90 0.00 8 #> 217 5.3 0.14 5.88 224.81 8 #> 218 1.0 0.13 5.88 44.51 4 #> 219 NaN 0.13 5.73 0.00 10 #> 220 1.0 0.14 5.48 40.32 1 #> 221 4.0 0.13 5.27 167.41 14 #> 222 2.5 0.14 5.16 93.04 8 #> 223 2.0 0.11 4.59 87.54 7 #> 224 2.0 0.10 4.59 88.19 7 #> 225 1.0 0.10 4.36 21.49 8 #> 226 2.0 0.10 4.19 80.64 1 #> 227 2.0 0.09 4.18 46.39 8 #> 228 1.0 0.08 4.06 48.39 3 #> 229 1.6 0.08 4.05 80.41 8 #> 230 2.0 0.09 3.94 92.79 1 #> 231 1.0 0.11 3.89 36.06 8 #> 232 NaN 0.07 3.87 0.00 4 #> 233 3.0 0.10 3.86 119.53 5 #> 234 1.0 0.08 3.83 45.02 9 #> 235 3.0 0.08 3.75 133.53 2 #> 236 1.2 0.09 3.73 51.53 12 #> 237 NaN 0.08 3.68 0.00 4 #> 238 2.0 0.09 3.60 79.07 5 #> 239 4.5 0.08 3.58 186.53 5 #> 240 1.0 0.09 3.53 40.07 3 #> 241 2.8 0.09 3.51 113.09 9 #> 242 2.0 0.08 3.45 86.17 3 #> 243 NaN 0.08 3.39 0.00 2 #> 244 NaN 0.08 3.37 0.00 1 #> 245 1.0 0.07 3.34 46.39 12 #> 246 1.0 0.07 3.29 47.04 10 #> 247 1.0 0.08 3.27 41.89 8 #> 248 2.0 0.07 3.24 90.96 8 #> 249 3.0 0.08 3.22 124.96 4 #> 250 NaN 0.07 3.12 0.00 2 #> 251 1.0 0.07 3.09 46.87 3 #> 252 1.0 0.06 2.93 52.31 12 #> 253 1.0 0.06 2.90 48.39 2 #> 254 2.0 0.07 2.88 87.35 7 #> 255 1.5 0.06 2.73 69.37 3 #> 256 1.0 0.06 2.70 43.62 2 #> 257 2.0 0.06 2.67 86.17 29 #> 258 3.0 0.06 2.67 133.54 3 #> 259 1.0 0.06 2.67 45.96 1 #> 260 2.0 0.06 2.67 91.92 4 #> 261 1.0 0.06 2.63 45.41 3 #> 262 2.0 0.06 2.55 92.79 1 #> 263 1.0 0.06 2.45 44.51 5 #> 264 1.0 0.06 2.44 40.62 5 #> 265 1.5 0.06 2.42 59.49 7 #> 266 1.0 0.06 2.41 43.09 13 #> 267 1.5 0.06 2.41 62.24 4 #> 268 1.0 0.05 2.26 41.89 1 #> 269 2.0 0.05 2.26 83.78 1 #> 270 NaN 0.05 2.20 0.00 3 #> 271 6.8 0.05 2.20 294.84 14 #> 272 1.0 0.05 2.18 40.32 2 #> 273 1.0 0.05 2.14 44.51 5 #> 274 2.0 0.04 2.10 99.82 9 #> 275 NaN 0.04 2.00 0.00 1 #> 276 11.8 0.05 1.97 496.44 14 #> 277 2.0 0.04 1.96 90.96 10 #> 278 NaN 0.04 1.93 0.00 3 #> 279 2.0 0.04 1.75 91.92 9 #> 280 1.0 0.04 1.74 48.39 3 #> 281 2.5 0.04 1.71 112.19 7 #> 282 1.0 0.04 1.69 39.97 5 #> 283 1.0 0.04 1.69 46.87 5 #> 284 2.8 0.04 1.66 115.62 10 #> 285 1.0 0.04 1.65 39.36 2 #> 286 1.0 0.03 1.65 48.39 4 #> 287 4.0 0.03 1.60 199.65 14 #> 288 2.0 0.04 1.57 88.61 5 #> 289 1.0 0.03 1.56 45.96 1 #> 290 1.0 0.04 1.51 41.89 4 #> 291 1.0 0.04 1.47 40.75 3 #> 292 1.0 0.03 1.41 41.59 10 #> 293 2.0 0.03 1.40 99.82 1 #> 294 1.0 0.03 1.34 39.36 2 #> 295 1.0 0.03 1.24 42.35 9 #> 296 1.0 0.03 1.24 44.19 9 #> 297 1.0 0.03 1.23 44.09 5 #> 298 2.0 0.03 1.22 93.74 7 #> 299 1.0 0.03 1.22 46.87 1 #> 300 4.0 0.03 1.17 90.01 3 #> 301 1.0 0.03 1.14 45.62 3 #> 302 1.0 0.03 1.13 43.62 3 #> 303 1.0 0.02 1.11 46.39 5 #> 304 1.0 0.02 0.96 43.62 8 #> 305 1.0 0.02 0.94 46.87 4 #> 306 1.0 0.02 0.94 46.87 4 #> 307 2.0 0.02 0.89 80.64 5 #> 308 3.0 0.02 0.87 145.17 3 #> 309 NaN 0.02 0.85 0.00 3 #> 310 1.0 0.02 0.85 44.36 9 #> 311 NaN 0.02 0.81 0.00 3 #> 312 1.0 0.02 0.75 46.62 3 #> 313 1.0 0.02 0.74 45.96 1 #> 314 1.0 0.02 0.73 40.32 1 #> 315 3.0 0.01 0.69 133.87 14 #> 316 1.0 0.01 0.67 44.51 9 #> 317 1.0 0.01 0.67 44.51 1 #> 318 1.0 0.01 0.67 46.18 7 #> 319 1.5 0.02 0.66 59.88 9 #> 320 1.0 0.02 0.65 40.75 7 #> 321 NaN 0.01 0.64 0.00 1 #> 322 1.0 0.01 0.63 45.24 1 #> 323 NaN 0.01 0.54 0.00 8 #> 324 NaN 0.01 0.54 0.00 16 #> 325 1.0 0.01 0.54 44.68 1 #> 326 1.0 0.01 0.48 48.39 2 #> 327 1.0 0.01 0.47 39.36 1 #> 328 1.0 0.01 0.47 46.87 1 #> 329 2.0 0.01 0.46 91.92 2 #> 330 1.0 0.01 0.45 44.51 1 #> 331 1.0 0.01 0.45 44.51 5 #> 332 2.0 0.01 0.45 89.02 1 #> 333 1.0 0.01 0.45 44.51 1 #> 334 1.0 0.01 0.43 42.64 10 #> 335 1.0 0.01 0.42 41.89 5 #> 336 1.0 0.01 0.35 44.01 9 #> 337 1.0 0.01 0.34 41.89 1 #> 338 1.0 0.01 0.33 55.22 1 #> 339 1.0 0.01 0.33 40.75 2 #> 340 1.0 0.01 0.32 40.32 1 #> 341 1.0 0.01 0.32 40.07 1 #> 342 2.0 0.01 0.28 91.92 1 #> 343 1.0 0.01 0.25 41.85 1 #> 344 1.0 0.01 0.24 40.32 2 #> 345 1.0 0.00 0.22 44.51 1 #> 346 1.0 0.00 0.22 44.51 2 #> 347 1.0 0.00 0.22 43.68 1 #> 348 1.0 0.00 0.18 44.01 1 #> 349 1.0 0.00 0.17 42.97 1 #> 350 1.0 0.00 0.17 41.85 1 #> 351 1.0 0.00 0.16 40.07 1 #> 352 1.0 0.00 0.13 20.16 2 #> 353 NaN 0.00 0.10 0.00 2 #> 354 1.0 0.00 0.09 46.87 1 #> 355 1.0 0.00 0.09 45.96 3 #> 356 1.0 0.00 0.09 45.96 14 #> 357 1.0 0.00 0.09 45.96 2 #> 358 NaN 0.00 0.09 0.00 2 #> 359 1.0 0.00 0.09 42.64 1 #> 360 NaN 0.00 0.08 0.00 3 #> 361 1.0 0.00 0.08 40.32 2 #> 362 1.0 0.00 0.08 40.32 2 #> 363 3.0 0.00 0.08 120.96 1 #> 364 1.0 0.00 0.08 40.32 1 #> 365 1.0 0.00 0.08 39.36 1 #> 366 1.0 0.00 0.07 36.06 2 #> 367 NaN 0.00 0.04 0.00 2 #> 368 1.0 0.00 0.04 38.65 2 #> #> $haul #> year station haul stratum vessel_name date_time #> 1 2000 320-74 9 721 DOMINATOR 2000-05-21 15:00:00 #> 2 2000 321-74 10 721 DOMINATOR 2000-05-21 16:35:35 #> 3 2000 321-74 10 721 VESTERAALEN 2000-05-22 07:38:55 #> 4 2000 324-73 6 721 VESTERAALEN 2000-05-21 07:36:15 #> 5 2000 326-76 7 722 DOMINATOR 2000-05-21 09:59:38 #> 6 2002 320-73 27 721 VESTERAALEN 2002-05-23 14:57:45 #> 7 2002 320-74 28 721 VESTERAALEN 2002-05-23 15:53:07 #> 8 2002 321-74 23 721 VESTERAALEN 2002-05-22 12:37:05 #> 9 2002 324-73 16 721 VESTERAALEN 2002-05-20 08:47:20 #> 10 2004 320-73 6 721 GLADIATOR 2004-06-08 07:16:35 #> 11 2004 320-74 7 721 SEA STORM 2004-06-08 12:14:10 #> 12 2004 321-74 1 721 GLADIATOR 2004-06-06 14:06:11 #> 13 2004 324-73 5 721 GLADIATOR 2004-06-07 17:09:12 #> 14 2004 326-76 4 721 SEA STORM 2004-06-07 17:51:19 #> 15 2006 320-74 7 722 GLADIATOR 2006-06-07 14:18:43 #> 16 2006 321-74 7 721 SEA STORM 2006-06-08 09:39:09 #> 17 2006 324-73 6 721 SEA STORM 2006-06-08 07:12:11 #> 18 2006 325-76 5 721 SEA STORM 2006-06-07 16:25:03 #> 19 2010 320-73 5 721 OCEAN EXPLORER 2010-06-10 13:05:42 #> 20 2010 324-73 3 721 OCEAN EXPLORER 2010-06-10 07:12:59 #> 21 2010 325-76 7 721 SEA STORM 2010-06-11 10:47:39 #> 22 2010 326-76 4 721 SEA STORM 2010-06-10 14:47:59 #> 23 2010 326-76 3 722 SEA STORM 2010-06-10 11:11:17 #> 24 2012 320-73 7 721 OCEAN EXPLORER 2012-06-10 07:03:03 #> 25 2012 320-74 7 722 SEA STORM 2012-06-09 08:11:36 #> 26 2012 320-74 1 721 SEA STORM 2012-06-08 07:27:27 #> 27 2012 321-74 6 721 OCEAN EXPLORER 2012-06-09 16:34:38 #> 28 2012 326-76 1 722 OCEAN EXPLORER 2012-06-09 07:10:55 #> 29 2012 326-76 4 721 SEA STORM 2012-06-08 14:16:40 #> 30 2014 320-74 6 721 SEA STORM 2014-06-12 13:26:56 #> 31 2014 320-74 3 722 SEA STORM 2014-06-11 16:00:45 #> 32 2014 321-74 1 721 ALASKA PROVIDER 2014-06-11 17:40:03 #> 33 2014 326-76 5 722 ALASKA PROVIDER 2014-06-12 14:34:14 #> 34 2016 320-73 3 721 ALASKA PROVIDER 2016-06-07 15:15:11 #> 35 2016 320-74 7 722 SEA STORM 2016-06-08 09:23:26 #> 36 2016 320-74 5 721 SEA STORM 2016-06-07 18:04:38 #> 37 2016 324-73 4 721 SEA STORM 2016-06-07 16:05:45 #> 38 2018 320-73 10 721 SEA STORM 2018-06-11 17:28:48 #> 39 2018 320-74 9 722 SEA STORM 2018-06-11 15:08:22 #> 40 2018 324-73 1 721 OCEAN EXPLORER 2018-06-09 07:27:06 #> 41 2018 325-76 2 721 OCEAN EXPLORER 2018-06-09 11:58:02 #> 42 2022 324-73 6 721 OCEAN EXPLORER 2022-06-11 08:10:18 #> 43 2022 326-76 5 722 OCEAN EXPLORER 2022-06-10 15:59:58 #> latitude_dd_start longitude_dd_start bottom_temperature_c #> 1 54.22348 -166.0363 4.3 #> 2 54.23911 -165.9106 4.3 #> 3 54.25416 -165.9284 4.2 #> 4 54.20465 -165.7477 4.2 #> 5 54.35204 -165.5665 4.2 #> 6 54.21785 -166.0437 4.3 #> 7 54.23024 -166.0035 4.5 #> 8 54.24220 -165.9348 4.7 #> 9 54.20549 -165.7466 4.5 #> 10 54.20921 -166.0613 5.2 #> 11 54.23151 -165.9993 5.2 #> 12 54.25199 -165.9398 5.0 #> 13 54.20250 -165.7467 5.2 #> 14 54.34954 -165.6114 4.4 #> 15 54.25761 -165.9996 4.1 #> 16 54.25770 -165.9099 5.1 #> 17 54.21174 -165.7529 4.9 #> 18 54.34783 -165.6215 4.6 #> 19 54.21217 -166.0394 4.7 #> 20 54.19405 -165.7223 4.7 #> 21 54.34708 -165.6544 4.1 #> 22 54.33688 -165.5711 4.2 #> 23 54.34305 -165.5495 4.2 #> 24 54.21403 -166.0355 4.1 #> 25 54.24643 -166.0219 3.7 #> 26 54.24227 -165.9876 4.0 #> 27 54.24130 -165.9455 4.1 #> 28 54.34417 -165.5489 3.7 #> 29 54.33457 -165.5654 3.7 #> 30 54.21945 -166.0375 5.0 #> 31 54.24728 -166.0211 4.5 #> 32 54.23909 -165.9084 5.7 #> 33 54.34741 -165.5540 4.4 #> 34 54.20566 -166.0491 6.3 #> 35 54.25784 -166.0004 6.2 #> 36 54.22642 -166.0167 6.4 #> 37 54.21666 -165.7556 6.4 #> 38 54.21682 -166.0323 5.6 #> 39 54.24662 -166.0222 4.5 #> 40 54.21011 -165.7440 5.3 #> 41 54.35293 -165.5989 5.0 #> 42 54.21109 -165.7537 5.3 #> 43 54.34763 -165.5462 4.7 #> surface_temperature_c depth_m distance_fished_km net_width_m net_height_m #> 1 4.8 77 1.637 15.623 7.026 #> 2 4.9 61 1.549 15.021 7.625 #> 3 4.1 92 1.537 16.016 7.000 #> 4 4.1 93 1.491 16.740 6.783 #> 5 4.9 115 1.353 14.808 7.361 #> 6 4.8 82 1.442 13.258 8.361 #> 7 5.0 71 1.438 14.918 7.530 #> 8 4.8 62 1.454 15.190 7.503 #> 9 5.2 93 1.425 16.331 7.773 #> 10 5.8 82 1.491 15.010 7.998 #> 11 5.6 71 1.448 15.475 7.723 #> 12 5.4 89 1.807 15.348 NA #> 13 6.6 91 1.578 16.398 7.396 #> 14 6.1 83 1.257 14.408 8.502 #> 15 5.5 109 1.454 15.565 6.925 #> 16 5.4 90 1.425 14.972 7.218 #> 17 6.4 92 1.473 16.206 5.371 #> 18 6.1 85 1.408 15.454 6.992 #> 19 4.9 61 1.487 15.280 7.434 #> 20 5.2 92 1.530 15.329 7.384 #> 21 4.9 86 1.364 17.091 6.945 #> 22 5.2 89 1.441 15.889 6.640 #> 23 5.2 108 1.463 15.670 6.639 #> 24 4.2 60 1.615 14.175 7.906 #> 25 4.3 109 1.426 15.822 6.996 #> 26 4.6 95 1.498 14.431 7.739 #> 27 4.3 62 1.573 14.420 7.494 #> 28 4.0 112 1.575 14.264 7.755 #> 29 4.2 96 1.436 14.805 7.375 #> 30 6.4 73 1.501 14.725 6.267 #> 31 6.4 110 1.543 16.074 6.041 #> 32 6.3 69 1.578 15.142 7.007 #> 33 6.3 122 1.277 16.183 6.198 #> 34 7.1 61 1.526 15.209 5.907 #> 35 6.9 110 1.441 15.281 7.178 #> 36 7.4 74 1.515 14.666 7.647 #> 37 7.6 93 1.436 17.091 6.704 #> 38 5.8 63 1.436 15.560 6.568 #> 39 7.0 109 1.451 17.671 6.146 #> 40 NA 96 1.549 16.402 4.755 #> 41 6.2 83 1.321 16.317 5.575 #> 42 6.2 91 1.438 19.682 5.069 #> 43 6.0 129 1.508 16.585 5.643 #> area_swept_km2 duration_hr total_weight_kg #> 1 0.025575 0.280 134.04 #> 2 0.023268 0.280 331.83 #> 3 0.024617 0.280 331.83 #> 4 0.024959 0.270 1014.23 #> 5 0.020035 0.290 980.33 #> 6 0.019118 0.260 77.91 #> 7 0.021452 0.260 217.12 #> 8 0.022086 0.260 4055.00 #> 9 0.023272 0.290 183.04 #> 10 0.022380 0.270 270.23 #> 11 0.022408 0.270 538.84 #> 12 0.027734 0.350 339.77 #> 13 0.025876 0.280 988.46 #> 14 0.018111 0.230 11793.00 #> 15 0.022632 0.277 541.80 #> 16 0.021335 0.264 268.14 #> 17 0.023871 0.270 401.73 #> 18 0.021759 0.262 577.60 #> 19 0.022721 0.269 407.52 #> 20 0.023453 0.286 434.93 #> 21 0.023312 0.248 3038.58 #> 22 0.022896 0.261 3475.82 #> 23 0.022925 0.262 3475.82 #> 24 0.022893 0.289 101.15 #> 25 0.022562 0.267 89.89 #> 26 0.021618 0.274 89.89 #> 27 0.022683 0.286 496.86 #> 28 0.022466 0.282 189.13 #> 29 0.021260 0.269 189.13 #> 30 0.022102 0.278 872.01 #> 31 0.024802 0.279 872.01 #> 32 0.023894 0.289 252.24 #> 33 0.020666 0.250 131.01 #> 34 0.023209 0.272 590.05 #> 35 0.022020 0.265 410.23 #> 36 0.022219 0.274 410.23 #> 37 0.024543 0.269 111.26 #> 38 0.022344 0.294 32.12 #> 39 0.025641 0.269 867.17 #> 40 0.025407 0.274 571.17 #> 41 0.021555 0.239 1735.27 #> 42 0.028303 0.258 1017.75 #> 43 0.025010 0.274 941.97 #> ## for default 10 years and nearby stations for Bering Flounder (0 results returned!) --- get_catch_haul_history( survey = \"AI\", species_codes = 10140, # Bering flounder which would be VERY unlikely to be found years = NA, # default station = \"324-73\", grid_buffer = 3) #> [1] \"Your quiery returned 0 results.\""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/get_sunrise_sunset.html","id":null,"dir":"Reference","previous_headings":"","what":"Get sunrise and sunset times by day, latitude, and longitude — get_sunrise_sunset","title":"Get sunrise and sunset times by day, latitude, and longitude — get_sunrise_sunset","text":"Get sunrise sunset times day, latitude, longitude","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/get_sunrise_sunset.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get sunrise and sunset times by day, latitude, and longitude — get_sunrise_sunset","text":"","code":"get_sunrise_sunset( chosen_date, latitude = NULL, longitude = NULL, survey = NULL, station = NULL, verbose = FALSE, timezone = \"US/Alaska\" )"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/get_sunrise_sunset.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get sunrise and sunset times by day, latitude, and longitude — get_sunrise_sunset","text":"chosen_date Date charater. Formatted \"YYYY-MM-DD\" latitude Numeric. Fill survey station entered. latitude either decimal degrees character latitude degrees decimal minutes longitude Numeric. Fill survey station entered. Longitude either decimal degrees character longitude degrees decimal minutes survey Character. Fill latitude longitude entered. character string survey interested reivewing. Options public_data$survey, \"AI\", \"GOA\", \"EBS\", \"NBS\", \"BSS\". station Character. Fill latitude longitude entered. character string current station name (grid cell; e.g., \"264-85\"). Stations defined station_coords dataset. verbose Logical. Default = FALSE. like readout file looks like console, set TRUE. timezone Character. Default = \"US/Alaska.\" options include: \"US/Aleutian\"","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/get_sunrise_sunset.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get sunrise and sunset times by day, latitude, and longitude — get_sunrise_sunset","text":"Time sunrise sunset text. Also shows pop-sunrise sunset times.","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/get_sunrise_sunset.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get sunrise and sunset times by day, latitude, and longitude — get_sunrise_sunset","text":"","code":"# Find times based on lat/lon for today's date, where date is a date object get_sunrise_sunset(chosen_date = Sys.Date(), latitude = 63.3, longitude = -170.5) #> Using latitude and longitude to calcualte sunrise and sunset. #> Sunrise is at 2024-04-04 08:29:00 AKDT #> Sunset is at 2024-04-03 22:20:00 AKDT # Find times based on lat/lon for today's date, where date is a character get_sunrise_sunset(chosen_date = \"2023-06-05\", latitude = 63.3, longitude = -170.5) #> Using latitude and longitude to calcualte sunrise and sunset. #> Sunrise is at 2023-06-05 05:23:00 AKDT #> Sunset is at 2023-06-05 01:17:00 AKDT # Find times based on lat/lon for today's date, where date is a character # and lat/lon in degree decimal-minutes get_sunrise_sunset(chosen_date = \"2023-06-05\", latitude = \"63 18.0\", longitude = \"-170 30.0\") #> Using latitude and longitude to calcualte sunrise and sunset. #> Sunrise is at 2023-06-05 05:19:00 AKDT #> Sunset is at 2023-06-05 01:13:00 AKDT # Find times based on a survey (EBS) station's recorded lat/lon for today's date get_sunrise_sunset(chosen_date = Sys.Date(), survey = \"EBS\", station = \"I-13\") #> Using survey station (EBS I-13) centroid location information (lat = 57.667, lon = -160.23) to calculate sunrise and sunset. #> Sunrise is at 2024-04-04 07:59:00 AKDT #> Sunset is at 2024-04-03 21:27:00 AKDT # Find times based on a survey (GOA) station's recorded lat/lon for today's date get_sunrise_sunset(chosen_date = Sys.Date(), survey = \"GOA\", station = \"323-176\") #> Using survey station (GOA 323-176) centroid location information (lat = 60.052, lon = -143.311) to calculate sunrise and sunset. #> Sunrise is at 2024-04-04 06:47:00 AKDT #> Sunset is at 2024-04-03 20:24:00 AKDT # Find times based on a survey (AI) station's recorded lat/lon for today's date get_sunrise_sunset(chosen_date = \"2023-06-10\", survey = \"AI\", station = \"33-47\") #> Using survey station (AI 33-47) centroid location information (lat = 53.013, lon = 172.407) to calculate sunrise and sunset. #> Sunrise is at 2023-06-10 08:05:00 AKDT #> Sunset is at 2023-06-10 00:54:00 AKDT"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/hex_to_cnv.html","id":null,"dir":"Reference","previous_headings":"","what":"Convert SBE19plus V2 hex files to cnv — hex_to_cnv","title":"Convert SBE19plus V2 hex files to cnv — hex_to_cnv","text":"function decodes hexadecimal-formatted Sea-Bird CTD files cnv files.","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/hex_to_cnv.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Convert SBE19plus V2 hex files to cnv — hex_to_cnv","text":"","code":"hex_to_cnv( hex_path, output_path, xmlcon_path = NULL, sample_interval = 0.25, output_channels = NULL, output_sig_digits = NULL )"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/hex_to_cnv.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Convert SBE19plus V2 hex files to cnv — hex_to_cnv","text":"hex_path Path .hex file output_path Path output file location .cnv file xmlcon_path Optional. Path config file. Must provided .hex file contain configuration file parameters. sample_interval Sampling interval scans; 0.25 typical SBE19plus V2 deployment. output_channels Optional. Named vector output channels names. use unless outputs defaults. output_sig_digits Optional. Significant digits decimal place output channels. change subset channels. use unless outputs defaults.","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/hex_to_cnv.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Convert SBE19plus V2 hex files to cnv — hex_to_cnv","text":"Sean Rohan","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/integer_to_conductivity.html","id":null,"dir":"Reference","previous_headings":"","what":"Convert SBE integer to conductivity — integer_to_conductivity","title":"Convert SBE integer to conductivity — integer_to_conductivity","text":"Convert SBE integer conductivity","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/integer_to_conductivity.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Convert SBE integer to conductivity — integer_to_conductivity","text":"","code":"integer_to_conductivity( conductivity_integer, temperature, pressure, condg, condh, condi, condj, cpcor, ctcor, par0 = 256, par1 = 1000, sig_figs = 6 )"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/integer_to_conductivity.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Convert SBE integer to conductivity — integer_to_conductivity","text":"conductivity_integer Conductivity voltage integer temperature Temperature degrees C pressure Presssure degrees C condg Conductivity calibration parameter condg condh Conductivity calibration parameter condh condi Conductivity calibration parameter condi condj Conductivity calibration parameter condj cpcor Conductivity calibration parameter cpcor ctcor Conductivity calibration parameter ctcor par0 Constant convert integer voltage par1 Constant convert integer voltage sig_figs number significant digits use conductivity (default = 6)","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/integer_to_conductivity.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Convert SBE integer to conductivity — integer_to_conductivity","text":"Sean Rohan","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/integer_to_ph.html","id":null,"dir":"Reference","previous_headings":"","what":"Convert SBE integer to pH — integer_to_ph","title":"Convert SBE integer to pH — integer_to_ph","text":"Convert SBE integer pH","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/integer_to_ph.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Convert SBE integer to pH — integer_to_ph","text":"","code":"integer_to_ph( ph_integer, ph_offset, ph_slope, temperature, sig_figs = 3, par0 = 13107 )"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/integer_to_ph.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Convert SBE integer to pH — integer_to_ph","text":"ph_integer pH voltage integer ph_offset pH calibration parameter offset ph_slope pH calibration parameter slope temperature temperature degrees C sig_figs number significant digits use conductivity (default = 3) par0 ph_integer conversion constant","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/integer_to_ph.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Convert SBE integer to pH — integer_to_ph","text":"Sean Rohan","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/integer_to_pressure.html","id":null,"dir":"Reference","previous_headings":"","what":"Convert SBE integer to pressure — integer_to_pressure","title":"Convert SBE integer to pressure — integer_to_pressure","text":"Convert SBE integer pressure","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/integer_to_pressure.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Convert SBE integer to pressure — integer_to_pressure","text":"","code":"integer_to_pressure( pressure_integer, tvoltage_integer, ptempa0, ptempa1, ptempa2, ptca0, ptca1, ptca2, ptcb0, ptcb1, ptcb2, pa0, pa1, pa2, par0 = 13107, sig_figs = 3, convert_to_dbar = TRUE )"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/integer_to_pressure.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Convert SBE integer to pressure — integer_to_pressure","text":"pressure_integer Pressure voltage integer tvoltage_integer Temperature voltage integer ptempa0 Pressure calibration parameter ptempa0 ptempa1 Pressure calibration parameter ptempa1 ptempa2 Pressure calibration parameter ptempa2 ptca0 Pressure calibration parameter ptca0 ptca1 Pressure calibration parameter ptca1 ptca2 Pressure calibration parameter ptca2 ptcb0 Pressure calibration parameter ptcb0 ptcb1 Pressure calibration parameter ptcb1 ptcb2 Pressure calibration parameter ptcb2 pa0 Pressure calibration parameter pa0 pa1 Pressure calibration parameter pa1 pa2 Pressure calibration parameter pa2 par0 tvoltage_integer conversion constant sig_figs number significant digits use temperature (default = 3) convert_to_dbar pressure returned decibars (TRUE) pounds per square inch without offset (FALSE)","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/integer_to_pressure.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Convert SBE integer to pressure — integer_to_pressure","text":"Sean Rohan","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/integer_to_temperature.html","id":null,"dir":"Reference","previous_headings":"","what":"Convert SBE integer to ITS-90 temperature — integer_to_temperature","title":"Convert SBE integer to ITS-90 temperature — integer_to_temperature","text":"Convert SBE integer -90 temperature","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/integer_to_temperature.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Convert SBE integer to ITS-90 temperature — integer_to_temperature","text":"","code":"integer_to_temperature( temperature_integer, sig_figs = NULL, a0, a1, a2, a3, offset = 0, par0 = 524288, par1 = 1.6e+07, par2 = 2.9e+09, par3 = 102400000, par4 = 20480, par5 = 2e+05 )"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/integer_to_temperature.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Convert SBE integer to ITS-90 temperature — integer_to_temperature","text":"temperature_integer Temperature voltage integer sig_figs number significant digits use temperature a0 Temperature calibration parameter a0 a1 Temperature Calibration parameter a1 a2 Temperature calibration parameter a2 a3 Temperature calibration parameter a3 offset Temperature calibration parameter offset par0 Temperature calibration parameter par0 par1 Temperature calibration parameter par1 par2 Temperature calibration parameter par2 par3 Temperature calibration parameter par3 par4 Temperature calibration parameter par4 par5 Temperature calibration parameter par5","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/integer_to_temperature.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Convert SBE integer to ITS-90 temperature — integer_to_temperature","text":"Sean Rohan","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/numbers0.html","id":null,"dir":"Reference","previous_headings":"","what":"Make numbers the same length preceeded by 0s — numbers0","title":"Make numbers the same length preceeded by 0s — numbers0","text":"Make numbers length preceeded 0s","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/numbers0.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Make numbers the same length preceeded by 0s — numbers0","text":"","code":"numbers0(x, number_places = NA)"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/numbers0.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Make numbers the same length preceeded by 0s — numbers0","text":"x single vector values need converted something like 1 \"001\" number_places default = NA. equal NA, function take use longest length value provided x (example 1). equal number, make sure every number length number_places (example 2) larger (value x places number_places(example 3)).","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/numbers0.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Make numbers the same length preceeded by 0s — numbers0","text":"string values x preceeded \"0\"s","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/numbers0.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Make numbers the same length preceeded by 0s — numbers0","text":"","code":"# example 1 numbers0(x = c(1,11,111)) #> [1] \"001\" \"011\" \"111\" # example 2 numbers0(x = c(1,11,111), number_places = 4) #> [1] \"0001\" \"0011\" \"0111\" # example 3 numbers0(x = c(1,11,111), number_places = 2) #> [1] \"01\" \"11\" \"111\""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/oxygen_saturation.html","id":null,"dir":"Reference","previous_headings":"","what":"Calculate oxygen saturation (ml/l) — oxygen_saturation","title":"Calculate oxygen saturation (ml/l) — oxygen_saturation","text":"Calculate oxygen saturation function temperature salinity based oxygen solubility Garcia Gordon (1992).","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/oxygen_saturation.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calculate oxygen saturation (ml/l) — oxygen_saturation","text":"","code":"oxygen_saturation(temperature, salinity)"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/oxygen_saturation.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calculate oxygen saturation (ml/l) — oxygen_saturation","text":"temperature Temperature (degrees Celsius). salinity Salinity (PSU, PSS-78).","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/oxygen_saturation.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Calculate oxygen saturation (ml/l) — oxygen_saturation","text":"Garcia, H.E., Gordon, L.., 1992. Oxygen solubility seawater: Better fitting equations. Limnol. Oceanogr. 37, 1307–1312. https://doi.org/10.4319/lo.1992.37.6.1307","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/oxygen_saturation.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Calculate oxygen saturation (ml/l) — oxygen_saturation","text":"Sean Rohan","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/PolySpecies.html","id":null,"dir":"Reference","previous_headings":"","what":"PolySpecies Data Set — PolySpecies","title":"PolySpecies Data Set — PolySpecies","text":"polynumbers","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/PolySpecies.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"PolySpecies Data Set — PolySpecies","text":"","code":"data(PolySpecies)"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/PolySpecies.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"PolySpecies Data Set — PolySpecies","text":"data frame 172 rows 4 variables: SPECIES_CODE integer Species code POLY_SPECIES_CODE integer Poly species code SPECIES_NAME character Species scientific latin name COMMON_NAME character Species common names","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/PolySpecies.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"PolySpecies Data Set — PolySpecies","text":"DETAILS","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/PolySpecies.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"PolySpecies Data Set — PolySpecies","text":"Jason Conner (jason.conner noaa.gov)","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/PolySpecies.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"PolySpecies Data Set — PolySpecies","text":"","code":"data(PolySpecies)"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/public_data.html","id":null,"dir":"Reference","previous_headings":"","what":"Presence-only public data from FOSS — public_data","title":"Presence-only public data from FOSS — public_data","text":"datasets, FOSS_CATCH, FOSS_CPUE_PRESONLY, FOSS_HAUL, FOSS_SPECIES, full joined HAULJOIN variable, includes zero-filled (presence absence) observations catch-per-unit-effort (CPUE) estimates identified species index stations. tables created Resource Assessment Conservation Engineering Division (RACE) Groundfish Assessment Program (GAP) Alaska Fisheries Science Center (AFSC). legal restrictions access data. data intended public dissemination shared without explicit written consent data managers owners (NOAA Fisheries). GitHub repository scripts created code can found https://github.com/afsc-gap-products/gap_products. information codes used tables, please refer survey code books (https://www.fisheries.noaa.gov/resource/document/groundfish-survey-species-code-manual--data-codes-manual). data last updated March 04, 2024.","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/public_data.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Presence-only public data from FOSS — public_data","text":"","code":"data('public_data')"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/public_data.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Presence-only public data from FOSS — public_data","text":"data frame 939197 observations following 37 variables. area_swept_km2 Area swept (km). area net covered net fishing (kilometers squared), defined distance fished times net width. bottom_temperature_c Bottom temperature (degrees Celsius). Bottom temperature (tenths degree Celsius); NA indicates removed missing values. common_name Taxon common name. common name marine organism associated 'scientific_name' 'species_code' columns. complete species list, review [code books](https://www.fisheries.noaa.gov/resource/document/groundfish-survey-species-code-manual--data-codes-manual). count Taxon count. Total whole number individuals caught haul samples collected. cpue_kgkm2 Weight CPUE (kg/km2). Catch weight (kilograms) per unit effort (area swept net, units square kilometers). cpue_nokm2 Number CPUE (/km2). Numerical catch per unit effort (area swept net, units square kilometers). cruise Cruise Name. six-digit integer identifying cruise number form: YYYY99 (YYYY = year cruise; 99 = 2-digit number sequential; 01 denotes first cruise vessel made year, 02 second, etc.). cruisejoin Cruise ID. Unique integer ID assigned survey, vessel, year combination. date_time Date time. date (MM/DD/YYYY) time (HH:MM) haul. dates times Alaska time (AKDT) Anchorage, AK, USA (UTC/GMT -8 hours). depth_m Depth (m). Bottom depth (meters). distance_fished_km Distance fished (km). Distance net fished (thousands kilometers). duration_hr Tow duration (decimal hr). elapsed time start end haul (decimal hours). haul Haul number. number uniquely identifies sampling event (haul) within cruise. sequential number, chronological order occurrence. hauljoin Haul ID. unique numeric identifier assigned (vessel, cruise, haul) combination. id_rank Lowest taxonomic rank. Lowest taxonomic rank given species entry. itis Integrated taxonomic information system (ITIS) serial number. Species code identified Integrated Taxonomic Information System (https://itis.gov/). latitude_dd_end End latitude (decimal degrees). Latitude (one hundred thousandth decimal degree) end haul. latitude_dd_start Start latitude (decimal degrees). Latitude (one hundred thousandth decimal degree) start haul. longitude_dd_end End longitude (decimal degrees). Longitude (one hundred thousandth decimal degree) end haul. longitude_dd_start Start longitude (decimal degrees). Longitude (one hundred thousandth decimal degree) start haul. net_height_m Net height (m). Measured estimated distance (meters) footrope headrope trawl. net_width_m Net width (m). Measured estimated distance (meters) wingtips trawl. performance Haul performance code. denotes , , issues arose haul. information, review [code books](https://www.fisheries.noaa.gov/resource/document/groundfish-survey-species-code-manual--data-codes-manual). scientific_name Taxon scientific name. scientific name organism associated 'common_name' 'species_code' columns. complete taxon list, review [code books](https://www.fisheries.noaa.gov/resource/document/groundfish-survey-species-code-manual--data-codes-manual). species_code Taxon code. species code organism associated 'common_name' 'scientific_name' columns. complete species list, review [code books](https://www.fisheries.noaa.gov/resource/document/groundfish-survey-species-code-manual--data-codes-manual). srvy Survey abbreviation. Abbreviated survey names. column 'srvy' associated 'survey' 'survey_definition_id' columns. Northern Bering Sea (NBS), Southeastern Bering Sea (EBS), Bering Sea Slope (BSS), Gulf Alaska (GOA), Aleutian Islands (AI). station Station ID. Alpha-numeric designation station established design survey. stratum Stratum ID. RACE database statistical area analyzing data. Strata designed using bathymetry geographic habitat-related elements. strata unique survey region. Stratum value 0 indicates experimental tows. surface_temperature_c Surface temperature (degrees Celsius). Surface temperature (tenths degree Celsius); NA indicates removed missing values. survey Survey name. Name description survey. column 'survey' associated 'srvy' 'survey_definition_id' columns. survey_definition_id Survey ID. survey definition ID key code uniquely identifies survey/survey design. column 'survey_definition_id' associated 'srvy' 'survey' columns. complete list surveys, review [code books](https://www.fisheries.noaa.gov/resource/document/groundfish-survey-species-code-manual--data-codes-manual). taxon_confidence Taxon confidence rating. Confidence ability survey team correctly identify taxon specified level, based solely identification skill (e.g., likelihood taxon caught station location--location basis). Quality codes follow: **'High'**: High confidence consistency. Taxonomy stable reliable level, field identification characteristics well known reliable. **'Moderate'**: Moderate confidence. Taxonomy may questionable level, field identification characteristics may variable difficult assess consistently. **'Low'**: Low confidence. Taxonomy incompletely known, reliable field identification characteristics unknown. Documentation: [Species identification confidence eastern Bering Sea shelf survey (1982-2008)](http://apps-afsc.fisheries.noaa.gov/Publications/ProcRpt/PR2009-04.pdf), [Species identification confidence eastern Bering Sea slope survey (1976-2010)](http://apps-afsc.fisheries.noaa.gov/Publications/ProcRpt/PR2014-05.pdf), [Species identification confidence Gulf Alaska Aleutian Islands surveys (1980-2011)](http://apps-afsc.fisheries.noaa.gov/Publications/ProcRpt/PR2014-01.pdf). vessel_id Vessel ID. ID number vessel used collect data haul. column 'vessel_id' associated 'vessel_name' column. Note possible vessel new name vessel id number. complete list vessel ID key codes, review [code books](https://www.fisheries.noaa.gov/resource/document/groundfish-survey-species-code-manual--data-codes-manual). vessel_name Vessel name. Name vessel used collect data haul. column 'vessel_name' associated 'vessel_id' column. Note possible vessel new name vessel id number. complete list vessel ID key codes, review [code books](https://www.fisheries.noaa.gov/resource/document/groundfish-survey-species-code-manual--data-codes-manual). weight_kg Sample taxon weight (kg). Weight (thousandths kilogram) individuals haul taxon. worms World register marine species (WoRMS) taxonomic serial number. Species code identified World Register Marine Species (WoRMS) (https://www.marinespecies.org/). year Survey year. Year observation (survey) collected.","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/public_data.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Presence-only public data from FOSS — public_data","text":"https://github.com/afsc-gap-products/gap_products https://www.fisheries.noaa.gov/foss/f?p=215:28:14951401791129:::::","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/public_data.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Presence-only public data from FOSS — public_data","text":"Resource Assessment Conservation Engineering (RACE) Division Groundfish Assessment Program (GAP) Alaska Fisheries Science Center (AFSC) conducts fisheries-independent bottom trawl surveys assess populations demersal fish crab stocks Alaska.","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/public_data.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Presence-only public data from FOSS — public_data","text":"Emily Markowitz (Emily.Markowitz noaa.gov)","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/public_data.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Presence-only public data from FOSS — public_data","text":"","code":"data(public_data)"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/species_data.html","id":null,"dir":"Reference","previous_headings":"","what":"Subsetted species data — species_data","title":"Subsetted species data — species_data","text":"species classification table","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/species_data.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Subsetted species data — species_data","text":"","code":"data('species_data')"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/species_data.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Subsetted species data — species_data","text":"data frame 2699 observations following 3 variables. common_name Taxon common name. common name marine organism associated 'scientific_name' 'species_code' columns. complete species list, review [code books](https://www.fisheries.noaa.gov/resource/document/groundfish-survey-species-code-manual--data-codes-manual). scientific_name Taxon scientific name. scientific name organism associated 'common_name' 'species_code' columns. complete taxon list, review [code books](https://www.fisheries.noaa.gov/resource/document/groundfish-survey-species-code-manual--data-codes-manual). species_code Taxon code. species code organism associated 'common_name' 'scientific_name' columns. complete species list, review [code books](https://www.fisheries.noaa.gov/resource/document/groundfish-survey-species-code-manual--data-codes-manual).","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/species_data.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Subsetted species data — species_data","text":"https://github.com/afsc-gap-products/gap_products","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/species_data.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Subsetted species data — species_data","text":"Resource Assessment Conservation Engineering (RACE) Division Groundfish Assessment Program (GAP) Alaska Fisheries Science Center (AFSC) conducts fisheries-independent bottom trawl surveys assess populations demersal fish crab stocks Alaska.","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/species_data.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Subsetted species data — species_data","text":"Sarah Friedman (sarah.friedman noaa.gov)","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/species_data.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Subsetted species data — species_data","text":"","code":"data(species_data)"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/station_coords.html","id":null,"dir":"Reference","previous_headings":"","what":"Station centroid locations for each station from akgfmaps — station_coords","title":"Station centroid locations for each station from akgfmaps — station_coords","text":"Station centroid coordinates station surveys, defined akgfmaps package.","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/station_coords.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Station centroid locations for each station from akgfmaps — station_coords","text":"","code":"data('station_coords')"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/station_coords.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Station centroid locations for each station from akgfmaps — station_coords","text":"data frame 31594 observations following 4 variables. latitude_dd Latitude (decimal degrees). Latitude (one hundred thousandth decimal degree). longitude_dd Longitude (decimal degrees). Longitude (one hundred thousandth decimal degree). srvy Survey abbreviation. Abbreviated survey names. column 'srvy' associated 'survey' 'survey_definition_id' columns. Northern Bering Sea (NBS), Southeastern Bering Sea (EBS), Bering Sea Slope (BSS), Gulf Alaska (GOA), Aleutian Islands (AI). station Station ID. Alpha-numeric designation station established design survey.","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/station_coords.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Station centroid locations for each station from akgfmaps — station_coords","text":"https://github.com/afsc-gap-products/akgfmaps","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/station_coords.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Station centroid locations for each station from akgfmaps — station_coords","text":"Find code create table ./inst/run.R","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/station_coords.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Station centroid locations for each station from akgfmaps — station_coords","text":"Sean Rohan (sean.rohan noaa.gov)","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/station_coords.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Station centroid locations for each station from akgfmaps — station_coords","text":"","code":"data(station_coords)"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/tau_par.html","id":null,"dir":"Reference","previous_headings":"","what":"Tau correction for dissolved oxygen voltage — tau_par","title":"Tau correction for dissolved oxygen voltage — tau_par","text":"Tau correction following Edwards et al. (2010).","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/tau_par.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Tau correction for dissolved oxygen voltage — tau_par","text":"","code":"tau_par(temperature, pressure, tau20, d0, d1, d2)"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/tau_par.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Tau correction for dissolved oxygen voltage — tau_par","text":"temperature Temperature degrees C pressure Pressure dbar tau20 Tau correction calibration parameter Tau20. d0 Tau correction calibration parameter D0. d1 Tau correction calibration parameter D1. d2 Tau correction calibration parameter D2.","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/tau_par.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Tau correction for dissolved oxygen voltage — tau_par","text":"Edwards, B., Murphy, D., Janzen, C., Larson, .N., 2010. Calibration, response, hysteresis deep-sea dissolved oxygen measurements. J. Atmos. Ocean. Technol. 27, 920–931. https://doi.org/10.1175/2009JTECHO693.1","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/tau_par.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Tau correction for dissolved oxygen voltage — tau_par","text":"Sean Rohan","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/text_list.html","id":null,"dir":"Reference","previous_headings":"","what":"Takes a string of words and combines them into a sentance that lists them. — text_list","title":"Takes a string of words and combines them into a sentance that lists them. — text_list","text":"function alows take string words combine sentance list. example, 'apples', 'oranges', 'pears' become 'apples, oranges, pears'. function uses oxford commas.","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/text_list.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Takes a string of words and combines them into a sentance that lists them. — text_list","text":"","code":"text_list(x, oxford = TRUE, sep = \",\")"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/text_list.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Takes a string of words and combines them into a sentance that lists them. — text_list","text":"x Character strings want string. oxford T/F: like use oxford comma? Default = TRUE sep string. default = \",\" \";\" might need!","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/text_list.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Takes a string of words and combines them into a sentance that lists them. — text_list","text":"","code":"text_list(c(1,2,\"hello\",4,\"world\",6)) #> [1] \"1, 2, hello, 4, world, and 6\""}] +[{"path":"https://afsc-gap-products.github.io/GAPsurvey/articles/example-script.html","id":"example-script-using-r-package-gapsurvey","dir":"Articles","previous_headings":"","what":"Example Script Using R Package GAPsurvey","title":"Example got-to script","text":"Last updated April 2024 Open Rstudio script example_script.R. already located desktop, otherwise find using link .","code":"system.file(\"r/example_script.R\", package = \"GAPsurvey\") #> [1] \"C:/Users/sean.rohan/AppData/Local/Temp/RtmpWSLcfB/temp_libpath15cc58f34baf/GAPsurvey/r/example_script.R\""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/articles/example-script.html","id":"install-r-package","dir":"Articles","previous_headings":"Example Script Using R Package GAPsurvey","what":"Install R package","title":"Example got-to script","text":"Rerun new version package install. user may install GitHub: install local file .tar.gz:","code":"devtools::install_github(\"afsc-gap-products/GAPsurvey\") # example, the user may have a different path install.packages('C:/Users/User/Downloads/GAPsurvey_2023.04.04.tar.gz', repos=NULL, type='source')"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/articles/example-script.html","id":"load-libraries","dir":"Articles","previous_headings":"Example Script Using R Package GAPsurvey","what":"Load libraries","title":"Example got-to script","text":"Now can use functions GAPSurvey!","code":"library(GAPsurvey)"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/articles/example-script.html","id":"what-have-we-historically-caught-at-this-station","dir":"Articles","previous_headings":"Example Script Using R Package GAPsurvey","what":"What have we historically caught at this station?","title":"Example got-to script","text":"Learn find examples using…","code":"?get_catch_haul_history get_catch_haul_history( years = 2021:2023, # optional; if you only want to see a specific year, not the last 10 species_codes = c(21720, 21740), # optional; pacific cod and walleye pollock ONLY survey = \"EBS\", # for example station = \"I-13\") # for example #> $catch #> $catch$`2021` #> station scientific_name common_name count weight_kg cpue_kgkm2 #> 5 I-13 Gadus chalcogrammus walleye pollock 793 550.359 11529.7821 #> 6 I-13 Gadus macrocephalus Pacific cod 91 31.140 652.3695 #> cpue_nokm2 #> 5 16613.01 #> 6 1906.41 #> #> $catch$`2022` #> station scientific_name common_name count weight_kg cpue_kgkm2 #> 3 I-13 Gadus chalcogrammus walleye pollock 135 140.138 3252.886 #> 4 I-13 Gadus macrocephalus Pacific cod 173 104.016 2414.421 #> cpue_nokm2 #> 3 3133.623 #> 4 4015.679 #> #> $catch$`2023` #> station scientific_name common_name count weight_kg cpue_kgkm2 #> 1 I-13 Gadus chalcogrammus walleye pollock 70 41.744 898.023 #> 2 I-13 Gadus macrocephalus Pacific cod 31 9.190 197.701 #> cpue_nokm2 #> 1 1505.8837 #> 2 666.8913 #> #> #> $catch_means #> scientific_name common_name station count weight_kg cpue_kgkm2 #> 1 Gadus chalcogrammus walleye pollock I-13 332.7 244.08 5226.90 #> 2 Gadus macrocephalus Pacific cod I-13 98.3 48.12 1088.16 #> cpue_nokm2 Freq #> 1 7084.17 3 #> 2 2196.33 3 #> #> $haul #> year station haul stratum vessel_name date_time #> 1 2021 I-13 7 31 ALASKA KNIGHT 2021-06-02 12:05:29 #> 2 2022 I-13 12 31 VESTERAALEN 2022-06-01 16:20:20 #> 3 2023 I-13 16 31 NORTHWEST EXPLORER 2023-05-30 13:43:02 #> latitude_dd_start longitude_dd_start bottom_temperature_c #> 1 57.65493 -160.2535 4.4 #> 2 57.65502 -160.2754 3.6 #> 3 57.66505 -160.2725 3.4 #> surface_temperature_c depth_m distance_fished_km net_width_m net_height_m #> 1 4.7 55 2.954 16.159 1.794 #> 2 7.6 54 2.854 15.095 2.566 #> 3 3.4 55 2.879 16.146 2.175 #> area_swept_km2 duration_hr total_weight_kg #> 1 0.047734 0.522 1220 #> 2 0.043081 0.531 1190 #> 3 0.046484 0.516 812"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/articles/example-script.html","id":"what-time-is-sunrise-and-sunset","dir":"Articles","previous_headings":"Example Script Using R Package GAPsurvey","what":"What time is sunrise and sunset?","title":"Example got-to script","text":"Learn find examples using…","code":"?get_sunrise_sunset get_sunrise_sunset(chosen_date = \"2024-06-10\", survey = \"AI\", station = \"33-47\") #> Using survey station (AI 33-47) centroid location information (lat = 53.013, lon = 172.407) to calculate sunrise and sunset. #> Sunrise is at 2024-06-10 08:04:00 AKDT #> Sunset is at 2024-06-10 00:54:00 AKDT get_sunrise_sunset(chosen_date = Sys.Date(), survey = \"GOA\", station = \"323-176\") #> Using survey station (GOA 323-176) centroid location information (lat = 60.052, lon = -143.311) to calculate sunrise and sunset. #> Sunrise is at 2024-04-06 06:41:00 AKDT #> Sunset is at 2024-04-05 20:29:00 AKDT get_sunrise_sunset(chosen_date = \"2024-08-04\", survey = \"EBS\", station = \"P-31\") #> Using survey station (EBS P-31) centroid location information (lat = 60, lon = -177.356) to calculate sunrise and sunset. #> Sunrise is at 2024-08-04 07:38:00 AKDT #> Sunset is at 2024-08-04 00:12:00 AKDT get_sunrise_sunset(chosen_date = \"2024-06-04\", survey = \"NBS\", station = \"ZZ-01\") #> Using survey station (NBS ZZ-01) centroid location information (lat = 63.334, lon = -168.244) to calculate sunrise and sunset. #> Sunrise is at 2024-06-04 05:14:00 AKDT #> Sunset is at 2024-06-04 01:08:00 AKDT get_sunrise_sunset(chosen_date = \"2024-08-04\", survey = NULL, latitude = 60, longitude = -162) #> Using latitude and longitude to calcualte sunrise and sunset. #> Sunrise is at 2024-08-04 06:37:00 AKDT #> Sunset is at 2024-08-03 23:10:00 AKDT"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/articles/example-script.html","id":"convert-ctd-data-to-btd-as-a-backup-for-sbe39-aka-the-bt","dir":"Articles","previous_headings":"Example Script Using R Package GAPsurvey","what":"Convert CTD data to BTD as a backup for SBE39 (aka ‘the BT’)","title":"Example got-to script","text":"","code":"?convert_ctd_btd convert_ctd_btd( filepath_hex = system.file(paste0(\"exdata/convert_ctd_btd/\", \"SBE19plus_01908106_2023_06_18_0001.hex\"), package = \"GAPsurvey\"), filepath_xmlcon = system.file(paste0(\"exdata/convert_ctd_btd/\", \"SBE19plusV2_8106_ph_DO_leg2.xmlcon\"), package = \"GAPsurvey\"), VESSEL = 162, CRUISE = 202301, HAUL = 97, latitude = 59.01693, # Approximate - for depth estimation MODEL_NUMBER = \"\", VERSION_NUMBER = \"\", SERIAL_NUMBER = 8106)"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Emily Markowitz. Author, maintainer. Sean Rohan. Author. Margaret Siple. Author. Liz Dawson. Author.","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Markowitz E, Rohan S, Siple M, Dawson L (2024). GAPsurvey: Provides -sea data management tools RACE GAP surveys. R package version 2024.04.04, https://github.com/afsc-gap-products/GAPsurvey.","code":"@Manual{, title = {GAPsurvey: Provides at-sea data management tools for RACE GAP surveys}, author = {Emily Markowitz and Sean Rohan and Margaret Siple and Liz Dawson}, year = {2024}, note = {R package version 2024.04.04}, url = {https://github.com/afsc-gap-products/GAPsurvey}, }"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/index.html","id":"gapsurvey-","dir":"","previous_headings":"","what":"Provides at-sea data management tools for RACE GAP surveys","title":"Provides at-sea data management tools for RACE GAP surveys","text":"code always development","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/index.html","id":"this-code-is-primarally-maintained-by","dir":"","previous_headings":"","what":"This code is primarally maintained by:","title":"Provides at-sea data management tools for RACE GAP surveys","text":"Emily Markowitz (Emily.Markowitz noaa.gov; @EmilyMarkowitz-NOAA) Sean Rohan (Sean.Rohan noaa.gov; @MargaretSiple-NOAA) Megsie Siple (Margaret.Siple noaa.gov; @MargaretSiple-NOAA) Liz Dawson (Liz.Dawson noaa.gov; @liz-dawson-NOAA) Alaska Fisheries Science Center, National Marine Fisheries Service, National Oceanic Atmospheric Administration, Seattle, WA 98195","code":""},{"path":[]},{"path":"https://afsc-gap-products.github.io/GAPsurvey/index.html","id":"make-sure-the-necessary-packages-are-installed","dir":"","previous_headings":"","what":"Make sure the necessary packages are installed","title":"Provides at-sea data management tools for RACE GAP surveys","text":"","code":"library(devtools) devtools::install_github(\"afsc-gap-products/GAPsurvey\") # Or remotes::install_github(\"afsc-gap-products/GAPsurvey@main\") library(GAPsurvey)"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/index.html","id":"cite-this-data","dir":"","previous_headings":"","what":"Cite this data","title":"Provides at-sea data management tools for RACE GAP surveys","text":"Use bibtext citations citing package created maintained repo. Add “note = {Accessed: mm/dd/yyyy}” append day data accessed.","code":"#> @misc{GAPsurvey, #> author = {{NOAA Fisheries Alaska Fisheries Science Center, Goundfish Assessment Program}}, #> year = {2024}, #> title = {AFSC Goundfish Assessment Program at-Sea data management tools for RACE GAP surveys}, #> howpublished = {https://www.fisheries.noaa.gov/alaska/science-data/groundfish-assessment-program-bottom-trawl-surveys}, #> publisher = {{U.S. Dep. Commer.}}, #> copyright = {Public Domain} #> }"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/index.html","id":"metadata","dir":"","previous_headings":"","what":"Metadata","title":"Provides at-sea data management tools for RACE GAP surveys","text":"package last produced using:","code":"#> R version 4.3.2 (2023-10-31 ucrt) #> Platform: x86_64-w64-mingw32/x64 (64-bit) #> Running under: Windows 10 x64 (build 19045) #> #> Matrix products: default #> #> #> locale: #> [1] LC_COLLATE=English_United States.utf8 LC_CTYPE=English_United States.utf8 LC_MONETARY=English_United States.utf8 LC_NUMERIC=C LC_TIME=English_United States.utf8 #> #> time zone: America/Los_Angeles #> tzcode source: internal #> #> attached base packages: #> [1] stats4 stats graphics grDevices utils datasets methods base #> #> other attached packages: #> [1] badger_0.2.3 pkgdown_2.0.7 gapctd_2.1.2 lubridate_1.9.3 plotly_4.10.4 interp_1.1-6 bbmle_1.0.25.1 oce_1.8-2 gsw_1.1-1 tidyr_1.3.1 plyr_1.8.9 RODBC_1.3-23 roxygen2_7.3.1 devtools_2.4.5 usethis_2.2.3 #> [16] here_1.0.1 akgfmaps_3.5.0 terra_1.7-71 stars_0.6-4 abind_1.4-5 sf_1.0-16 gstat_2.1-1 ggplot2_3.5.0 classInt_0.4-10 gapindex_2.2.0 dplyr_1.1.4 readr_2.1.5 magrittr_2.0.3 #> #> loaded via a namespace (and not attached): #> [1] RColorBrewer_1.1-3 sys_3.4.2 rstudioapi_0.16.0 dlstats_0.1.7 jsonlite_1.8.8 rmarkdown_2.26 fs_1.6.3 vctrs_0.6.5 memoise_2.0.1 askpass_1.2.0 gh_1.4.0 janitor_2.2.0 #> [13] htmltools_0.5.7 curl_5.2.1 KernSmooth_2.23-22 htmlwidgets_1.6.4 keyring_1.3.2 desc_1.4.3 httr2_1.0.0 zoo_1.8-12 cachem_1.0.8 mime_0.12 lifecycle_1.0.4 pkgconfig_2.0.3 #> [25] Matrix_1.6-5 R6_2.5.1 fastmap_1.1.1 shiny_1.8.0 snakecase_0.11.1 digest_0.6.35 numDeriv_2016.8-1.1 colorspace_2.1-0 rprojroot_2.0.4 pkgload_1.3.4 fansi_1.0.6 timechange_0.3.0 #> [37] httr_1.4.7 compiler_4.3.2 proxy_0.4-27 intervals_0.15.4 remotes_2.5.0 withr_3.0.0 DBI_1.2.2 pkgbuild_1.4.4 MASS_7.3-60 openssl_2.1.1 rappdirs_0.3.3 sessioninfo_1.2.2 #> [49] tools_4.3.2 units_0.8-5 httpuv_1.6.14 glue_1.7.0 promises_1.2.1 grid_4.3.2 getPass_0.2-4 generics_0.1.3 gtable_0.3.4 tzdb_0.4.0 class_7.3-22 data.table_1.15.2 #> [61] hms_1.1.3 sp_2.1-3 xml2_1.3.6 utf8_1.2.4 pillar_1.9.0 stringr_1.5.1 yulab.utils_0.1.4 later_1.3.2 lattice_0.21-9 FNN_1.1.4 deldir_2.0-4 tidyselect_1.2.1 #> [73] rvcheck_0.2.1 miniUI_0.1.1.1 knitr_1.45 gitcreds_0.1.2 xfun_0.42 credentials_2.0.1 stringi_1.8.3 lazyeval_0.2.2 yaml_2.3.8 evaluate_0.23 codetools_0.2-19 tibble_3.2.1 #> [85] BiocManager_1.30.22 cli_3.6.2 xtable_1.8-4 munsell_0.5.0 spacetime_1.3-1 Rcpp_1.0.12 gert_2.0.1 bdsmatrix_1.3-7 parallel_4.3.2 ellipsis_0.3.2 assertthat_0.2.1 profvis_0.3.8 #> [97] urlchecker_1.0.1 viridisLite_0.4.2 mvtnorm_1.2-4 scales_1.3.0 xts_0.13.2 e1071_1.7-14 purrr_1.0.2 crayon_1.5.2 rlang_1.1.3"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/index.html","id":"noaa-readme","dir":"","previous_headings":"","what":"NOAA README","title":"Provides at-sea data management tools for RACE GAP surveys","text":"repository scientific product official communication National Oceanic Atmospheric Administration, United States Department Commerce. NOAA GitHub project code provided ‘’ basis user assumes responsibility use. claims Department Commerce Department Commerce bureaus stemming use GitHub project governed applicable Federal law. reference specific commercial products, processes, services service mark, trademark, manufacturer, otherwise, constitute imply endorsement, recommendation favoring Department Commerce. Department Commerce seal logo, seal logo DOC bureau, shall used manner imply endorsement commercial product activity DOC United States Government.","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/index.html","id":"license","dir":"","previous_headings":"","what":"License","title":"Provides at-sea data management tools for RACE GAP surveys","text":"Software code created U.S. Government employees subject copyright United States (17 U.S.C. §105). United States/Department Commerce reserve rights seek obtain copyright protection countries United States Software authored entirety Department Commerce. end, Department Commerce hereby grants Recipient royalty-free, nonexclusive license use, copy, create derivative works Software outside United States. U.S. Department Commerce | National Oceanographic Atmospheric Administration | NOAA Fisheries","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/calc_net_spread.html","id":null,"dir":"Reference","previous_headings":"","what":"Calculate Net Spread for tows missing net width using a glm. — calc_net_spread","title":"Calculate Net Spread for tows missing net width using a glm. — calc_net_spread","text":"Marport Deep Sea Technologies Inc. net mensuration system used deployment tow record net spread net height. Net width measured horizontal distance two sensors attached immediately forward junction upper breastline dandyline, net height measured headrope center seafloor. custom-made AFSC bottom contact sensor (accelerometer) attached center footrope used determine tow duration based footrope contact seafloor. Mean calc_net_spread values estimating area swept tow duration calculated according methods described Lauth Kotwicki (2014).","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/calc_net_spread.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calculate Net Spread for tows missing net width using a glm. — calc_net_spread","text":"","code":"calc_net_spread(dat)"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/calc_net_spread.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calculate Net Spread for tows missing net width using a glm. — calc_net_spread","text":"dat data.frame. can data GIDES race_data.hauls, including columns: WIRE_OUT, NET_HEIGHT, NET_SPREAD","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/calc_net_spread.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Calculate Net Spread for tows missing net width using a glm. — calc_net_spread","text":"list equations","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/calc_net_spread.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Calculate Net Spread for tows missing net width using a glm. — calc_net_spread","text":"race_data, manifest ... net_mensuration_code = Net Mensuration Method 0* Unidentified method. make racebase.haul$net_mesured = \"N\". 1 Scanmar net mensuration - use, historical 2 NetMind net mensuration - use, historical 3 Furuno net mensuration - use, historical 4* Estimated hauls - missing net spread, spread hieght. make racebase.haul$net_mesured = \"N\". Estimated using GLM 5* Estimated warp angle - hopefully, come used 6 Marport net mensuration - , indicates raw data 7* Marport sequential outlier rejection, smoothed mean, adjusted MKII offset (see AFSC Proc. Report Lauth & Kotwicki 2014). make racebase.haul$net_mesured = \"Y\".","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/calc_net_spread.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Calculate Net Spread for tows missing net width using a glm. — calc_net_spread","text":"","code":"# Here is an example using 202101 Alaska Night Data from race_data.hauls: path <- system.file(\"exdata/calc_net_spread/VESTY202101_RACE_DATA.HAULS.csv\", package = \"GAPsurvey\") dat <- read.csv(file=path, header=TRUE, sep=\",\", stringsAsFactors = FALSE) dat <- dat[dat$PERFORMANCE >= 0 & dat$HAUL_TYPE == 3,] dat[dat$NET_SPREAD_METHOD != 7, \"NET_SPREAD\"] <- NA # a normal net width dat[dat$NET_HEIGHT_METHOD != 6, \"NET_HEIGHT\"] <- NA # a normal net height calc_net_spread(dat) #> $actions #> method_col method_code n #> 1 NET_SPREAD_METHOD 7 161 #> 2 NET_HEIGHT_METHOD 4 5 #> 3 NET_SPREAD_METHOD 4 27 #> desc #> 1 There were 161 hauls successfully completed where the Marport sensor properly caclulated net mensuration using sequential outlier rejection, smoothed mean, and MKII offset adjustments (see AFSC Proc. Report Lauth & Kotwicki 2014). #> 2 There were 5 missing net height values estimated by averaging the net height of tows with the same wire out scope. #> 3 w ~ 20.835 - 559.975/s - 0.729 * h: For 27 hauls, the net width was estimated using a generalized linear model. The both predictor variables and their interaction were significant (P < 0.001) #> #> $glm_summary #> est0 se tvalue prob var #> (Intercept) 20.8345889 0.3579184 58.210439 1.179885e-108 (Intercept) #> INVSCOPE -559.9746315 38.3797512 -14.590366 4.416356e-31 INVSCOPE #> NET_HEIGHT -0.7289979 0.1812255 -4.022601 8.899050e-05 NET_HEIGHT #> est case var0 #> (Intercept) 20.835 very signifcant (P < 0.001) intercept #> INVSCOPE -559.975 very signifcant (P < 0.001) inversed scope #> NET_HEIGHT -0.729 very signifcant (P < 0.001) net height #> #> $dat #> HAUL NET_SPREAD NET_HEIGHT WIRE_OUT NET_SPREAD_METHODS NET_HEIGHT_METHOD #> 2 3 14.83635 2.627722 137.16 4 4 #> 3 186 17.86335 2.209000 411.48 4 6 #> 4 185 17.92678 2.122000 411.48 4 6 #> 5 22 17.45922 2.230000 320.04 4 6 #> 6 39 17.19329 2.194773 274.32 4 4 #> 7 40 17.18947 2.200000 274.32 4 6 #> 8 62 15.00017 2.403000 137.16 4 6 #> 9 71 17.91849 1.600000 320.04 4 6 #> 10 73 18.04389 1.728000 365.76 4 6 #> 11 74 17.95641 1.848000 365.76 4 6 #> 12 75 17.97999 2.049000 411.48 4 6 #> 13 76 18.25751 1.855000 457.20 4 6 #> 14 78 18.22639 1.711000 411.48 4 6 #> 15 93 14.83635 2.627722 137.16 4 4 #> 16 96 14.83635 2.627722 137.16 4 4 #> 17 124 17.07211 2.361000 274.32 4 6 #> 18 125 16.52242 2.555000 228.60 4 6 #> 19 127 17.16177 2.238000 274.32 4 6 #> 20 130 16.54429 2.525000 228.60 4 6 #> 21 132 16.52752 2.548000 228.60 4 6 #> 22 155 17.75375 2.126000 365.76 4 6 #> 23 157 17.65096 2.267000 365.76 4 6 #> 24 158 17.80186 2.060000 365.76 4 6 #> 25 162 17.70928 2.187000 365.76 4 6 #> 26 175 17.38997 2.325000 320.04 4 6 #> 27 179 17.80649 2.287000 411.48 4 6 #> 28 180 17.82472 2.262000 411.48 4 6 #> 39 153 17.17460 2.343000 365.76 7 6 #> 40 154 18.06890 2.172000 411.48 7 6 #> 41 156 17.26440 2.022000 365.76 7 6 #> 42 160 17.65670 2.246000 320.04 7 6 #> 43 161 17.72740 2.305000 365.76 7 6 #> 44 163 16.91930 2.240000 365.76 7 6 #> 45 164 17.80950 2.166000 365.76 7 6 #> 46 165 17.85030 2.193000 320.04 7 6 #> 47 166 17.89860 2.234000 320.04 7 6 #> 48 167 17.89930 2.080000 365.76 7 6 #> 49 168 17.82630 2.109000 365.76 7 6 #> 50 169 18.03190 2.031000 365.76 7 6 #> 51 170 17.90640 2.016000 320.04 7 6 #> 52 171 17.30380 2.134000 320.04 7 6 #> 53 172 17.63530 2.083000 320.04 7 6 #> 54 173 18.04400 2.273000 320.04 7 6 #> 55 174 17.73700 2.184000 320.04 7 6 #> 56 176 17.63460 2.077000 365.76 7 6 #> 57 177 18.20400 2.234000 365.76 7 6 #> 58 178 18.22860 2.259000 365.76 7 6 #> 59 181 19.17180 2.186000 411.48 7 6 #> 60 182 17.95510 1.952000 411.48 7 6 #> 61 183 18.34570 2.080000 411.48 7 6 #> 62 184 17.71440 2.077000 365.76 7 6 #> 63 187 17.69960 2.038000 365.76 7 6 #> 64 188 17.84100 2.052000 365.76 7 6 #> 65 189 18.36430 2.225000 320.04 7 6 #> 66 190 17.89060 2.090000 274.32 7 6 #> 67 191 18.83180 1.968000 274.32 7 6 #> 68 192 17.46850 2.266000 274.32 7 6 #> 69 193 17.28910 2.285000 228.60 7 6 #> 70 194 17.46780 2.278000 228.60 7 6 #> 71 195 17.40940 2.351000 228.60 7 6 #> 103 79 17.10380 1.842000 411.48 7 6 #> 104 80 17.27980 1.827000 320.04 7 6 #> 105 81 16.65240 1.903000 274.32 7 6 #> 106 82 15.83280 2.174000 228.60 7 6 #> 107 83 15.52930 2.013000 228.60 7 6 #> 108 84 16.48600 1.860000 228.60 7 6 #> 109 85 16.31050 1.917000 228.60 7 6 #> 110 86 15.99340 1.888000 182.88 7 6 #> 111 87 15.80450 2.250000 228.60 7 6 #> 112 88 15.71270 2.299000 182.88 7 6 #> 113 89 15.62770 2.401000 182.88 7 6 #> 114 90 15.07380 2.254000 137.16 7 6 #> 115 91 15.75430 2.166000 137.16 7 6 #> 116 92 15.45820 2.171000 137.16 7 6 #> 117 94 15.28100 2.148000 137.16 7 6 #> 118 95 15.35290 2.105000 137.16 7 6 #> 119 97 15.37120 2.454000 137.16 7 6 #> 120 98 15.82680 2.563000 137.16 7 6 #> 121 99 15.76280 1.911000 137.16 7 6 #> 122 100 16.43660 2.198000 182.88 7 6 #> 123 101 16.71100 2.107000 182.88 7 6 #> 124 102 14.94470 2.025000 182.88 7 6 #> 125 103 16.60100 2.058000 182.88 7 6 #> 126 104 17.11460 1.820000 228.60 7 6 #> 127 105 16.61830 2.025000 228.60 7 6 #> 128 106 16.68170 1.858000 228.60 7 6 #> 129 107 16.39690 1.914000 228.60 7 6 #> 130 108 16.23050 2.292256 228.60 7 4 #> 131 109 17.24800 2.105000 228.60 7 6 #> 132 110 16.16760 2.041000 228.60 7 6 #> 133 111 15.97460 2.093000 228.60 7 6 #> 134 112 15.52170 2.191000 228.60 7 6 #> 135 113 16.57390 2.099000 274.32 7 6 #> 136 114 15.57140 2.313000 228.60 7 6 #> 137 115 15.64320 2.316000 274.32 7 6 #> 138 117 16.55170 1.943000 274.32 7 6 #> 139 118 17.19710 1.905000 320.04 7 6 #> 140 119 16.47080 2.087000 228.60 7 6 #> 141 120 16.10490 2.134000 228.60 7 6 #> 142 121 15.67950 1.986000 182.88 7 6 #> 143 122 15.10710 2.223000 182.88 7 6 #> 144 123 15.97710 1.977000 228.60 7 6 #> 145 126 16.59840 2.554000 274.32 7 6 #> 146 128 17.23980 2.637000 274.32 7 6 #> 147 129 16.30940 2.701000 228.60 7 6 #> 148 131 17.07920 2.561000 228.60 7 6 #> 149 133 16.89850 2.652000 228.60 7 6 #> 150 134 16.34050 2.543000 228.60 7 6 #> 151 135 17.50510 2.864000 228.60 7 6 #> 152 136 18.53180 2.660000 228.60 7 6 #> 153 137 16.72080 3.029000 228.60 7 6 #> 154 138 16.98170 2.740000 228.60 7 6 #> 155 139 16.60090 2.868000 228.60 7 6 #> 156 140 16.38400 2.904000 228.60 7 6 #> 157 142 18.23070 2.173000 274.32 7 6 #> 158 143 18.24750 2.116000 274.32 7 6 #> 159 144 16.85120 2.248000 274.32 7 6 #> 160 145 18.21740 2.235000 274.32 7 6 #> 161 146 18.09960 2.209000 274.32 7 6 #> 162 147 17.75310 2.054000 274.32 7 6 #> 163 148 18.15540 2.120000 320.04 7 6 #> 164 149 17.98690 2.092000 320.04 7 6 #> 165 150 17.93780 2.021000 320.04 7 6 #> 166 151 19.46440 2.002000 320.04 7 6 #> 167 4 15.25780 2.467000 182.88 7 6 #> 168 5 14.36380 2.934000 137.16 7 6 #> 169 6 15.27740 2.729000 182.88 7 6 #> 170 7 14.69230 3.084000 137.16 7 6 #> 171 8 14.67880 2.706000 137.16 7 6 #> 172 9 14.93400 2.718000 137.16 7 6 #> 173 10 15.27550 2.681000 137.16 7 6 #> 174 11 15.96140 2.429000 182.88 7 6 #> 175 12 14.74250 2.874000 137.16 7 6 #> 176 13 13.82240 2.893000 137.16 7 6 #> 177 14 15.12340 2.695000 182.88 7 6 #> 178 15 14.93340 2.822000 137.16 7 6 #> 179 16 15.26170 2.688000 182.88 7 6 #> 180 17 15.65620 2.489000 182.88 7 6 #> 181 19 15.36790 2.572000 182.88 7 6 #> 182 20 15.23390 2.694000 182.88 7 6 #> 183 21 16.17880 2.467000 228.60 7 6 #> 184 23 16.68610 2.427000 274.32 7 6 #> 185 24 16.41350 2.445000 228.60 7 6 #> 186 25 15.51110 2.530000 182.88 7 6 #> 187 26 15.70080 2.379000 182.88 7 6 #> 188 27 15.82300 2.555000 137.16 7 6 #> 189 28 16.42010 2.439000 182.88 7 6 #> 190 29 14.76970 2.709000 137.16 7 6 #> 191 30 12.79130 3.414000 137.16 7 6 #> 192 31 15.49810 2.530000 137.16 7 6 #> 193 32 15.18150 2.869000 137.16 7 6 #> 194 33 15.37120 2.792000 137.16 7 6 #> 195 34 15.94770 2.386000 137.16 7 6 #> 196 35 16.50700 2.606000 182.88 7 6 #> 197 36 16.26920 2.395000 182.88 7 6 #> 198 37 16.64200 2.406000 228.60 7 6 #> 199 38 16.52550 2.492000 228.60 7 6 #> 200 41 17.08090 2.333000 320.04 7 6 #> 201 42 16.89840 2.316000 320.04 7 6 #> 202 43 16.18790 2.308000 320.04 7 6 #> 203 44 17.22730 2.374000 320.04 7 6 #> 204 45 17.56640 2.306000 274.32 7 6 #> 205 46 16.68040 2.226000 274.32 7 6 #> 206 47 16.17150 2.412000 228.60 7 6 #> 207 48 16.42820 2.348000 228.60 7 6 #> 208 49 15.92490 2.410000 182.88 7 6 #> 209 50 15.71800 2.559000 182.88 7 6 #> 210 51 15.87330 2.437000 182.88 7 6 #> 211 52 15.10380 2.709000 137.16 7 6 #> 212 53 14.66880 2.792000 137.16 7 6 #> 213 54 15.05630 2.662000 137.16 7 6 #> 214 55 13.95290 3.082000 137.16 7 6 #> 215 56 14.57480 2.768000 137.16 7 6 #> 216 57 14.30510 2.963000 137.16 7 6 #> 217 58 12.56630 3.249000 137.16 7 6 #> 218 59 14.91530 2.698000 137.16 7 6 #> 219 60 15.28120 2.655000 137.16 7 6 #> 220 61 15.22370 2.883000 137.16 7 6 #> 221 63 15.58820 1.933000 137.16 7 6 #> 222 64 15.92360 2.062000 137.16 7 6 #> 223 65 16.76920 1.860000 182.88 7 6 #> 224 66 17.35500 1.719000 228.60 7 6 #> 225 67 17.90080 1.861000 228.60 7 6 #> 226 68 17.36020 1.761000 228.60 7 6 #> 227 69 17.46470 1.820000 228.60 7 6 #> 228 70 16.92950 1.716000 274.32 7 6 #> 229 72 17.78080 1.740000 320.04 7 6 #> 230 77 18.56800 1.814000 411.48 7 6 #> WIRE_OUT_METHODS #> 2 5 #> 3 5 #> 4 5 #> 5 5 #> 6 5 #> 7 5 #> 8 5 #> 9 5 #> 10 5 #> 11 5 #> 12 5 #> 13 5 #> 14 5 #> 15 5 #> 16 5 #> 17 5 #> 18 5 #> 19 5 #> 20 5 #> 21 5 #> 22 5 #> 23 5 #> 24 5 #> 25 5 #> 26 5 #> 27 5 #> 28 5 #> 39 5 #> 40 5 #> 41 5 #> 42 5 #> 43 5 #> 44 5 #> 45 5 #> 46 5 #> 47 5 #> 48 5 #> 49 5 #> 50 5 #> 51 5 #> 52 5 #> 53 5 #> 54 5 #> 55 5 #> 56 5 #> 57 5 #> 58 5 #> 59 5 #> 60 5 #> 61 5 #> 62 5 #> 63 5 #> 64 5 #> 65 5 #> 66 5 #> 67 5 #> 68 5 #> 69 5 #> 70 5 #> 71 5 #> 103 5 #> 104 5 #> 105 5 #> 106 5 #> 107 5 #> 108 5 #> 109 5 #> 110 5 #> 111 5 #> 112 5 #> 113 5 #> 114 5 #> 115 5 #> 116 5 #> 117 5 #> 118 5 #> 119 5 #> 120 5 #> 121 5 #> 122 5 #> 123 5 #> 124 5 #> 125 5 #> 126 5 #> 127 5 #> 128 5 #> 129 5 #> 130 5 #> 131 5 #> 132 5 #> 133 5 #> 134 5 #> 135 5 #> 136 5 #> 137 5 #> 138 5 #> 139 5 #> 140 5 #> 141 5 #> 142 5 #> 143 5 #> 144 5 #> 145 5 #> 146 5 #> 147 5 #> 148 5 #> 149 5 #> 150 5 #> 151 5 #> 152 5 #> 153 5 #> 154 5 #> 155 5 #> 156 5 #> 157 5 #> 158 5 #> 159 5 #> 160 5 #> 161 5 #> 162 5 #> 163 5 #> 164 5 #> 165 5 #> 166 5 #> 167 5 #> 168 5 #> 169 5 #> 170 5 #> 171 5 #> 172 5 #> 173 5 #> 174 5 #> 175 5 #> 176 5 #> 177 5 #> 178 5 #> 179 5 #> 180 5 #> 181 5 #> 182 5 #> 183 5 #> 184 5 #> 185 5 #> 186 5 #> 187 5 #> 188 5 #> 189 5 #> 190 5 #> 191 5 #> 192 5 #> 193 5 #> 194 5 #> 195 5 #> 196 5 #> 197 5 #> 198 5 #> 199 5 #> 200 5 #> 201 5 #> 202 5 #> 203 5 #> 204 5 #> 205 5 #> 206 5 #> 207 5 #> 208 5 #> 209 5 #> 210 5 #> 211 5 #> 212 5 #> 213 5 #> 214 5 #> 215 5 #> 216 5 #> 217 5 #> 218 5 #> 219 5 #> 220 5 #> 221 5 #> 222 5 #> 223 5 #> 224 5 #> 225 5 #> 226 5 #> 227 5 #> 228 5 #> 229 5 #> 230 5 #>"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/convert_bvdr_marp.html","id":null,"dir":"Reference","previous_headings":"","what":"Convert .bvdr files to .marp files — convert_bvdr_marp","title":"Convert .bvdr files to .marp files — convert_bvdr_marp","text":"mistakenly delete marport data haul, can retrieve data converter. using script, 1. Open .bvdr file Notepad ++ similar text editor. 2. Find uninterpretable character symbol. Often, depending editor, look like box highlighted letters \"SUB\". Find delete (via replace) characters whole document. error appear part file read (stopping line unsupported symbol ) edit data ahead time. 3. Save .bvdr file changes use link file path_bvdr example proper .marp file looks like, refer system.file(\"exdata/convert_bvdr_marp/HAUL0001.marp\", package = \"GAPsurvey\")","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/convert_bvdr_marp.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Convert .bvdr files to .marp files — convert_bvdr_marp","text":"","code":"convert_bvdr_marp(path_bvdr, verbose = FALSE)"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/convert_bvdr_marp.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Convert .bvdr files to .marp files — convert_bvdr_marp","text":"path_bvdr Character string. full path .bvdr file want convert. example, path_bvdr <- system.file(\"exdata/convert_bvdr_marp/20220811-00Za.bvdr\", package = \"GAPsurvey\") verbose Logical. Default = FALSE. like readout file looks like console, set TRUE.","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/convert_bvdr_marp.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Convert .bvdr files to .marp files — convert_bvdr_marp","text":"","code":"# readLines(system.file(\"exdata/convert_bvdr_marp/20220811-00Za.bvdr\", # package = \"GAPsurvey\"))[1:5] # input file # head(convert_bvdr_marp( # path_bvdr = system.file(\"exdata/convert_bvdr_marp/20220811-00Za.bvdr\", # package = \"GAPsurvey\"), # verbose = TRUE), 20) # convert_bvdr_marp( # path_bvdr = system.file(\"exdata/convert_bvdr_marp/20220811-00Za.bvdr\", # package = \"GAPsurvey\")) # readLines(system.file(\"exdata/convert_bvdr_marp/20220811-00Za.marp\", # package = \"GAPsurvey\")) # output file"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/convert_ctd_btd.html","id":null,"dir":"Reference","previous_headings":"","what":"Convert CTD data from .hex to BTD and BTH — convert_ctd_btd","title":"Convert CTD data from .hex to BTD and BTH — convert_ctd_btd","text":"function converts CTD hexadecimal (.hex) file bathythermic data (.btd) bathythermic header files (.bth). unable convert file, please contact sean.rohan@noaa.gov.","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/convert_ctd_btd.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Convert CTD data from .hex to BTD and BTH — convert_ctd_btd","text":"","code":"convert_ctd_btd( filepath_hex, dirpath_output = \"./\", filepath_xmlcon = NULL, latitude = NA, VESSEL = NA, CRUISE = NA, HAUL = NA, MODEL_NUMBER = NA, VERSION_NUMBER = NA, SERIAL_NUMBER = NA, instrument_timezone = \"America/Anchorage\", filename_add = \"new\" )"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/convert_ctd_btd.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Convert CTD data from .hex to BTD and BTH — convert_ctd_btd","text":"filepath_hex Required. Filepath SBE19plus hexadecimal (.hex) file single cast character vector (e.g. \"C:/CTD/202301_162_L1/sbe19plus01908091_05_04_0001.hex\")/. dirpath_output Optional. default local working directory may specified string. filepath_xmlcon Required. Filepath instrument configuration file (.xmlcon) CTD (e.g. serial number 8091 use file 8091 name (\"C:/CTD/xmlcon configuration files/SBE19plusV2_8091.xmlcon\"). latitude Required. Latitude decimal degrees (approximate). VESSEL Required. vessel number (e.g., 94). CRUISE Required. cruise number (e.g., 201901). HAUL Required. haul number (e.g. 150). MODEL_NUMBER Optional. model number CTD . VERSION_NUMBER Optional. version number CTD. SERIAL_NUMBER Optional. serial number CTD. instrument_timezone Time zone instrument data. change unless instrument setup Alaska Time filename_add Optional. Default = \"new\". string added BTD BTH outputs. can help prevent accidentally overwriting BTH BTD files.","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/convert_ctd_btd.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Convert CTD data from .hex to BTD and BTH — convert_ctd_btd","text":".BTH .BTD files dirpath_output directory.","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/convert_ctd_btd.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Convert CTD data from .hex to BTD and BTH — convert_ctd_btd","text":"https://github.com/afsc-gap-products/gapctd","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/convert_ctd_btd.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Convert CTD data from .hex to BTD and BTH — convert_ctd_btd","text":"","code":"# CTD without auxiliary sensors convert_ctd_btd( filepath_hex = system.file(paste0(\"exdata/convert_ctd_btd/\", \"2021_06_13_0003.hex\"), package = \"GAPsurvey\"), filepath_xmlcon = system.file(paste0(\"exdata/convert_ctd_btd/\", \"19-8102_Deploy2021.xmlcon\"), package = \"GAPsurvey\"), latitude = 55, VESSEL = 94, CRUISE = 202101, HAUL = 107, SERIAL_NUMBER = 8105) #> Type model number (optional): #> Type version number (optional): #> xmlcon_to_df: Skpping oxygen. Sensor calibration parameters not detected in xmlcon file. #> xmlcon_to_df: Skpping ph. Sensor calibration parameters not detected in xmlcon file. #> hex_to_cnv: 5 data channels detected (time_elapsed, temperature, pressure, conductivity, flag) #> hex_to_cnv: Writing data to cnv. #> convert_ctd_btd: Intermediate data file (.cnv) saved to C:/Users/sean.rohan/Work/afsc/package_testing/GAPsurvey/docs/reference/2021_06_13_0003.cnv #> Baththermic data (.BTD) and header (.BTD) files written to: #> .//HAUL0107_new.BTD #> .//HAUL0107_new.BTH # CTD with DO and pH sensors convert_ctd_btd( filepath_hex = system.file(paste0(\"exdata/convert_ctd_btd/\", \"SBE19plus_01908106_2023_06_18_0001.hex\"), package = \"GAPsurvey\"), filepath_xmlcon = system.file(paste0(\"exdata/convert_ctd_btd/\", \"SBE19plusV2_8106_ph_DO_leg2.xmlcon\"), package = \"GAPsurvey\"), VESSEL = 162, CRUISE = 202301, HAUL = 97, latitude = 59.01693, MODEL_NUMBER = \"\", VERSION_NUMBER = \"\", SERIAL_NUMBER = 8106) #> hex_to_cnv: 7 data channels detected (time_elapsed, temperature, pressure, conductivity, oxygen_voltage, ph, flag) #> hex_to_cnv: Writing data to cnv. #> convert_ctd_btd: Intermediate data file (.cnv) saved to C:/Users/sean.rohan/Work/afsc/package_testing/GAPsurvey/docs/reference/SBE19plus_01908106_2023_06_18_0001.cnv #> Baththermic data (.BTD) and header (.BTD) files written to: #> .//HAUL0097_new.BTD #> .//HAUL0097_new.BTH"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/convert_do_to_o2sat.html","id":null,"dir":"Reference","previous_headings":"","what":"Calculate oxygen saturation (percent) from dissolved oxygen (ml/l) — convert_do_to_o2sat","title":"Calculate oxygen saturation (percent) from dissolved oxygen (ml/l) — convert_do_to_o2sat","text":"Dissolved oxygen divided oxygen saturation calculated following Garcia Gordon (1992)","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/convert_do_to_o2sat.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calculate oxygen saturation (percent) from dissolved oxygen (ml/l) — convert_do_to_o2sat","text":"","code":"convert_do_to_o2sat(oxygen, temperature, salinity)"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/convert_do_to_o2sat.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calculate oxygen saturation (percent) from dissolved oxygen (ml/l) — convert_do_to_o2sat","text":"oxygen Dissolved oxygen ml/l temperature Temperature (IPTS-68, degrees Celsius). salinity Salinity (PSU, PSS-78).","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/convert_do_to_o2sat.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Calculate oxygen saturation (percent) from dissolved oxygen (ml/l) — convert_do_to_o2sat","text":"Garcia, H.E., Gordon, L.., 1992. Oxygen solubility seawater: Better fitting equations. Limnol. Oceanogr. 37, 1307–1312. https://doi.org/10.4319/lo.1992.37.6.1307","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/convert_do_to_o2sat.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Calculate oxygen saturation (percent) from dissolved oxygen (ml/l) — convert_do_to_o2sat","text":"Sean Rohan","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/convert_log_gps.html","id":null,"dir":"Reference","previous_headings":"","what":"Recover position data from Globe .log file — convert_log_gps","title":"Recover position data from Globe .log file — convert_log_gps","text":"event MARPORT server GPS fails incomplete, \"convert_log_gps()\" converts GLOBE LOG files format can uploaded WHEELHOUSE. get .log file usable function, 1) Go C:\\ globe\\ logs\\ 2018\\ directory choose GLG file proper date 2) Use GLOBE Files>Logs> convert .GLG (binary) .LOG (.csv) file 3) convert_log_gps()prompt Vessel code, Cruise ., Haul . Date 4) final prompt ask location GLOBE LOG file 5) convert_log_gps()create csv file R directory filename \"new.gps\" 6) Rename \"new.gps\" HAULXXXX.GPS XXXX haul number 7) Upload HAULXXXX.GPS WHEELHOUSE 8) NOTE: raw GLOBE log data GMT time (-8 hrs 4PM AKDT prior day 4PM current day. Hence haul missing GPS spans 4PM hour (e.g.,3:45-4:30 PM),CONVERT TWO GLG files (current day next day)run convert_log_gps()twice & manually combine two GPS files 9) ALSO NOTE: may shut GLOBE wait 4pm following day incoming NMEA data written GLG file.","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/convert_log_gps.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Recover position data from Globe .log file — convert_log_gps","text":"","code":"convert_log_gps( VESSEL = NA, CRUISE = NA, HAUL = NA, DATE = NA, path_in, path_out = \"./\", filename_add = \"\" )"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/convert_log_gps.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Recover position data from Globe .log file — convert_log_gps","text":"VESSEL Optional. Default = NA. vessel number (e.g., 94). NA called function, prompt appear asking data. CRUISE Optional. Default = NA. cruise number, usually year date (e.g., 201901). NA called function, prompt appear asking data. HAUL Optional. Default = NA. haul number, aka iterative number haul (e.g., 3). NA called function, prompt appear asking data. DATE Optional. Default = NA. date MM/DD/YYYY format (e.g., \"06/02/2019\"). NA called function, prompt appear asking data. path_in Optional. Default = \"./., local working directory path (string) may entered. path_out Optional. default local working directory may specified string. filename_add Optional. Default = \"new\". string added name outputted file. , can additional information may make file helpful find later.","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/convert_log_gps.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Recover position data from Globe .log file — convert_log_gps","text":".GPS file path_out directory.","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/convert_log_gps.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Recover position data from Globe .log file — convert_log_gps","text":"Now .log file, can RUN function putting cursor \"convert_log_gps()\" line & press CTRL+R.","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/convert_log_gps.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Recover position data from Globe .log file — convert_log_gps","text":"","code":"readLines(system.file(\"exdata/convert_log_gps/06062017.log\", package = \"GAPsurvey\"))[1:5] # input file #> Warning: incomplete final line found on 'C:/Users/sean.rohan/AppData/Local/Temp/RtmpWSLcfB/temp_libpath15cc58f34baf/GAPsurvey/exdata/convert_log_gps/06062017.log' #> [1] \"$GPRMC,235958.000,A,5814.4411,N,15934.8091,W,9.45,11.19,050617,,,D*4E\" #> [2] \"$SDDBS,76.71,f,23.38,M,12.79,F\" #> [3] \"$GPGGA,235959.000,5814.4436,N,15934.8081,W,2,08,1.1,10.9,M,16.2,M,2.0,0000*53\" #> [4] \"$GPGSA,M,3,25,29,02,31,12,06,14,51,,,,,1.8,1.1,1.4*3A\" #> [5] \"$SDDBS,76.79,f,23.41,M,12.80,F\" convert_log_gps( VESSEL = 94, CRUISE = 201901, HAUL = 3, DATE = \"06/06/2017\", path_in = system.file(\"exdata/convert_log_gps/06062017.log\", package = \"GAPsurvey\"), path_out = getwd(), filename_add = \"newlog\") #> Your new .gps files are saved to C:/Users/sean.rohan/Work/afsc/package_testing/GAPsurvey/docs/reference/HAUL0003_newlog.gps readLines(system.file(\"exdata/convert_log_gps/HAUL0003_newlog.gps\", package = \"GAPsurvey\"))[1:5] # output file #> [1] \"94,201901,3,06/06/2017 15:59:58,5814.4411,-15934.8091\" #> [2] \"94,201901,3,06/06/2017 15:59:59,5814.4436,-15934.8081\" #> [3] \"94,201901,3,06/06/2017 16:00:00,5814.4462,-15934.8071\" #> [4] \"94,201901,3,06/06/2017 16:00:01,5814.4487,-15934.8061\" #> [5] \"94,201901,3,06/06/2017 16:00:02,5814.4513,-15934.8052\" readLines(system.file(\"exdata/convert_log_gps/Haul0037\", package = \"GAPsurvey\"))[1:5] # input file #> Warning: file(\"\") only supports open = \"w+\" and open = \"w+b\": using the former #> [1] NA NA NA NA NA convert_log_gps( VESSEL = 94, CRUISE = 202101, HAUL = 37, DATE = \"06/07/2021\", path_in = system.file(\"exdata/convert_log_gps/Haul0037.log\", package = \"GAPsurvey\"), path_out = getwd(), filename_add = \"newlog\") #> Your new .gps files are saved to C:/Users/sean.rohan/Work/afsc/package_testing/GAPsurvey/docs/reference/HAUL0037_newlog.gps readLines(system.file(\"exdata/convert_log_gps/Haul0037_newlog.gps\", package = \"GAPsurvey\"))[1:5] # output file #> [1] \"94,202101,37,06/07/2021 08:04:00,5737.6868,-16401.4024\" #> [2] \"94,202101,37,06/07/2021 08:04:01,5737.6842,-16401.4038\" #> [3] \"94,202101,37,06/07/2021 08:04:02,5737.6816,-16401.4046\" #> [4] \"94,202101,37,06/07/2021 08:04:03,5737.6792,-16401.4044\" #> [5] \"94,202101,37,06/07/2021 08:04:04,5737.6767,-16401.4038\""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/convert_ted_btd.html","id":null,"dir":"Reference","previous_headings":"","what":"BVDR Conversion to Create BTD data — convert_ted_btd","title":"BVDR Conversion to Create BTD data — convert_ted_btd","text":"Converts Marport BVDR data (.ted .tet files Marport headrope sensor) .BTD format. must first run BVDR converter program (convert_bvdr.exe) convert Marport .bvdr files .ted .tet files can pulled R. BVDR program instructions can found RACE Survey App. create .SGT file using example BVDR instruction file start end time (sure include carriage return (second ) final row data!), file current systems creates. used BVDR converter output .ted .tet files ready use convert_ted_btd() function !","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/convert_ted_btd.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"BVDR Conversion to Create BTD data — convert_ted_btd","text":"","code":"convert_ted_btd( VESSEL = NA, CRUISE = NA, HAUL = NA, MODEL_NUMBER = NA, VERSION_NUMBER = NA, SERIAL_NUMBER = NA, path_in = \"C:/Program Files/Marport Server/Logs/\", path_out = \"./\", filename_add = \"new\" )"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/convert_ted_btd.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"BVDR Conversion to Create BTD data — convert_ted_btd","text":"VESSEL Optional. Default = NA. vessel number (e.g., 162 AK Knight, 94 Vesteraalen). NA called function, prompt appear asking data. CRUISE Optional. Default = NA. cruise number, usually year + sequential two digit cruise (e.g., 202101). NA called function, prompt appear asking data. HAUL Optional. Default = NA. haul number trying convert data (e.g., 3). NA called function, prompt appear asking data. MODEL_NUMBER Optional. Default = NA. model number Marport sensor (e.g., 123 999, can put NA dummy number instead actual model number without negative repercussions). VERSION_NUMBER Optional. Default = NA. version number Marport sensor (e.g., 123 999, can put NA dummy number instead actual version number without negative repercussions). SERIAL_NUMBER Optional. Default = NA. serial number Marport sensor (e.g., 123 999, can put NA dummy number instead actual serial number without negative repercussions). path_in Optional. default location catch computer (\"C:/Program Files/Marport Server/Logs/\") path can entered. path_out Optional. default local working directory can specified string. filename_add Optional. Default = \"new\". string added name outputed file. , can additional information may make file helpful find later.","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/convert_ted_btd.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"BVDR Conversion to Create BTD data — convert_ted_btd","text":".BTH .BTD files path_out directory.","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/convert_ted_btd.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"BVDR Conversion to Create BTD data — convert_ted_btd","text":"","code":"# input files readLines(system.file(\"exdata/convert_bvdr_btd/201901_94_0003.ted\", package = \"GAPsurvey\"))[1:5] #> [1] \"94,201901,3,6/3/2019 11:47:08,1,51,m\" #> [2] \"94,201901,3,6/3/2019 11:47:09,1,51,m\" #> [3] \"94,201901,3,6/3/2019 11:47:10,1,51,m\" #> [4] \"94,201901,3,6/3/2019 11:47:11,1,51,m\" #> [5] \"94,201901,3,6/3/2019 11:47:13,1,51,m\" readLines(system.file(\"exdata/convert_bvdr_btd/201901_94_0003.tet\", package = \"GAPsurvey\"))[1:5] #> [1] \"94,201901,3,6/3/2019 10:49:47,1,8.8,C\" #> [2] \"94,201901,3,6/3/2019 10:49:37,1,8.7,C\" #> [3] \"94,201901,3,6/3/2019 10:49:45,1,8.7,C\" #> [4] \"94,201901,3,6/3/2019 10:49:46,1,8.7,C\" #> [5] \"94,201901,3,6/3/2019 10:49:48,1,8.7,C\" readLines(system.file(\"exdata/convert_bvdr_btd/201901_94_0003.teh\", package = \"GAPsurvey\"))[1:5] #> [1] \"94,201901,3,6/3/2019 10:02:27,23,4.9\" #> [2] \"94,201901,3,6/3/2019 10:05:58,23,4.9\" #> [3] \"94,201901,3,6/3/2019 10:10:33,23,4.9\" #> [4] \"94,201901,3,6/3/2019 10:13:29,23,4.8\" #> [5] \"94,201901,3,6/3/2019 10:17:47,23,4.8\" #' run function convert_ted_btd( VESSEL = 94, CRUISE = 201901, HAUL = 3, MODEL_NUMBER = 123, VERSION_NUMBER = 456, SERIAL_NUMBER = 789, path_in = system.file(\"exdata/convert_bvdr_btd/\", package = \"GAPsurvey\"), path_out = getwd(), filename_add = \"newted\") #> Your new C:/Users/sean.rohan/Work/afsc/package_testing/GAPsurvey/docs/reference/HAUL0003_newted .BTD and .BTH files are saved. # output files readLines(system.file(\"exdata/convert_bvdr_btd/HAUL0003_newted.BTD\", package = \"GAPsurvey\"))[1:5] #> [1] \"VESSEL,CRUISE,HAUL,SERIAL_NUMBER,DATE_TIME,TEMPERATURE,DEPTH,\" #> [2] \"94,201901,3,789,6/3/2019 10:49:20,8.5,0,\" #> [3] \"94,201901,3,789,6/3/2019 10:49:23,8.5,,\" #> [4] \"94,201901,3,789,6/3/2019 10:49:25,8.5,,\" #> [5] \"94,201901,3,789,6/3/2019 10:49:26,8.5,,\" readLines(system.file(\"exdata/convert_bvdr_btd/HAUL0003_newted.BTH\", package = \"GAPsurvey\"))[1:5] #> [1] \"VESSEL,CRUISE,HAUL,MODEL_NUMBER,VERSION_NUMBER,SERIAL_NUMBER,HOST_TIME,LOGGER_TIME,LOGGING_START,LOGGING_END,SAMPLE_PERIOD,NUMBER_CHANNELS,NUMBER_SAMPLES,MODE\" #> [2] \"94,201901,3,123,456,789,06/03/19 11:59:59,06/03/19 11:59:59,06/03/19 10:49:20,06/03/19 11:59:59,3,2,0,2\" #> [3] NA #> [4] NA #> [5] NA"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/extract_calibration_xmlcon.html","id":null,"dir":"Reference","previous_headings":"","what":"Extract calibration parameters from xmlcon to a list — extract_calibration_xmlcon","title":"Extract calibration parameters from xmlcon to a list — extract_calibration_xmlcon","text":"Retrives calibration parameters temperature, conductivity, pressure, oxygen, pH sensors instrument configuration (.xmlcon) file.","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/extract_calibration_xmlcon.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Extract calibration parameters from xmlcon to a list — extract_calibration_xmlcon","text":"","code":"extract_calibration_xmlcon(xmlcon_path)"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/extract_calibration_xmlcon.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Extract calibration parameters from xmlcon to a list — extract_calibration_xmlcon","text":"xmlcon_path Path xmlcon file.","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/extract_calibration_xmlcon.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Extract calibration parameters from xmlcon to a list — extract_calibration_xmlcon","text":"Sean Rohan","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/fix_path.html","id":null,"dir":"Reference","previous_headings":"","what":"Make sure file path is complete — fix_path","title":"Make sure file path is complete — fix_path","text":"Function adds '/' '\\' end directories recognizes file extensions end strings.","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/fix_path.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Make sure file path is complete — fix_path","text":"","code":"fix_path(path)"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/fix_path.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Make sure file path is complete — fix_path","text":"path string complete path directory file.","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/fix_path.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Make sure file path is complete — fix_path","text":"fixed path string.","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/fix_path.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Make sure file path is complete — fix_path","text":"","code":"fix_path(\"sdfg/sdfg/sdfg/dfg.dd\") #> [1] \"sdfg/sdfg/sdfg/dfg.dd\" fix_path(\"sdfg/sdfg/sdfg\") #> [1] \"sdfg/sdfg/sdfg/\" fix_path(\"sdfg/sdfg/sdfg/\") #> [1] \"sdfg/sdfg/sdfg/\""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/get_calibration_parameter.html","id":null,"dir":"Reference","previous_headings":"","what":"Extract variable from xmlcon file text — get_calibration_parameter","title":"Extract variable from xmlcon file text — get_calibration_parameter","text":"Extract variable xmlcon file text","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/get_calibration_parameter.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Extract variable from xmlcon file text — get_calibration_parameter","text":"","code":"get_calibration_parameter( header, cal_par, start_block = NULL, end_block = NULL, make_numeric = TRUE )"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/get_calibration_parameter.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Extract variable from xmlcon file text — get_calibration_parameter","text":"header Character vector lines xmlcon file cal_par Character vector xmlcon tag start_block starting index lines header search end_block ending index lines leader search make_numeric Logical. tag value forced numeric?","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/get_calibration_parameter.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Extract variable from xmlcon file text — get_calibration_parameter","text":"Sean Rohan","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/get_catch_haul_history.html","id":null,"dir":"Reference","previous_headings":"","what":"Find historical catch data from previous years — get_catch_haul_history","title":"Find historical catch data from previous years — get_catch_haul_history","text":"Find historical catch data previous years","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/get_catch_haul_history.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Find historical catch data from previous years — get_catch_haul_history","text":"","code":"get_catch_haul_history( survey, species_codes = NA, years = NA, station, grid_buffer = NA )"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/get_catch_haul_history.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Find historical catch data from previous years — get_catch_haul_history","text":"survey (character) character string survey interested reivewing. Options public_data$survey, \"AI\", \"GOA\", \"EBS\", \"NBS\", \"BSS\". species_codes (numeric) species code number species species specifically interested reviewing data . NA/entered, function return data species caught haul. years (numeric) years want returned output. years = NA, script default last 10 years. like see years, simply choose large range covers years survey (e.g., 1970:2030) station (character) character string current station name (grid cell; e.g., \"264-85\") grid_buffer (numeric) GOA/AI . number cells around current station like see catches . Typically, use grid_buffer = 3.","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/get_catch_haul_history.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Find historical catch data from previous years — get_catch_haul_history","text":"data.frame past catches hauls","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/get_catch_haul_history.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Find historical catch data from previous years — get_catch_haul_history","text":"","code":"#' # EBS (or NBS) -------------------------------------------------------------- ## for one year and only 1 station for all species -------------------------- get_catch_haul_history( survey = \"EBS\", years = 2021, station = \"I-13\") #> $catch #> $catch$`2021` #> station scientific_name common_name count #> 1 I-13 Gadus chalcogrammus walleye pollock 793 #> 2 I-13 Lepidopsetta polyxystra northern rock sole 1530 #> 3 I-13 Limanda aspera yellowfin sole 584 #> 4 I-13 Asterias amurensis purple-orange sea star 1816 #> 5 I-13 Arctoraja parmifera Alaska skate 6 #> 6 I-13 Gadus macrocephalus Pacific cod 91 #> 7 I-13 Hippoglossus stenolepis Pacific halibut 45 #> 8 I-13 Hippoglossoides elassodon flathead sole 48 #> 9 I-13 Paralithodes camtschaticus red king crab 18 #> 10 I-13 Pleuronectes quadrituberculatus Alaska plaice 47 #> 11 I-13 Myoxocephalus jaok plain sculpin 3 #> 12 I-13 Isopsetta isolepis butter sole 17 #> 13 I-13 Neptunea ventricosa fat whelk 29 #> 14 I-13 Podothecus accipenserinus sturgeon poacher 54 #> 15 I-13 Platichthys stellatus starry flounder 2 #> 16 I-13 Porifera sponge unid. NA #> 17 I-13 Gorgonocephalus eucnemis basketstar 8 #> 18 I-13 Pagurus ochotensis Alaskan hermit 8 #> 19 I-13 empty gastropod shells NA #> 20 I-13 Mactromeris polynyma Arctic surfclam 8 #> 21 I-13 Neptunea heros 4 #> 22 I-13 Hyas lyratus Pacific lyre crab 6 #> 23 I-13 empty bivalve shells NA #> 24 I-13 Boltenia ovifera sea onion NA #> 25 I-13 Clupea pallasii Pacific herring 2 #> 26 I-13 Chionoecetes bairdi Tanner crab 1 #> 27 I-13 Metridium sp. 8 #> 28 I-13 Chrysaora melanaster 2 #> 29 I-13 Styela rustica sea potato NA #> 30 I-13 Gersemia rubiformis NA #> 31 I-13 Neptunea borealis 2 #> 32 I-13 Liparis gibbus variegated snailfish 2 #> 33 I-13 Glebocarcinus oregonensis Oregon rock crab 2 #> 34 I-13 Polychaeta polychaete worm unid. 4 #> 35 I-13 Crangon sp. 2 #> weight_kg cpue_kgkm2 cpue_nokm2 #> 1 550.359 11529.782133 16613.00575 #> 2 213.721 4477.362171 32052.83581 #> 3 139.534 2923.176727 12234.54648 #> 4 127.104 2662.773623 38044.41166 #> 5 41.960 879.043785 125.69740 #> 6 31.140 652.369482 1906.41050 #> 7 26.103 546.846518 942.73046 #> 8 23.811 498.830113 1005.57916 #> 9 19.380 406.002587 377.09219 #> 10 16.947 355.032293 984.62960 #> 11 5.420 113.546647 62.84870 #> 12 4.072 85.306632 356.14262 #> 13 3.742 78.393276 607.53741 #> 14 3.355 70.285794 1131.27656 #> 15 3.219 67.436653 41.89913 #> 16 2.889 60.523296 0.00000 #> 17 1.861 38.987142 167.59653 #> 18 0.853 17.869980 167.59653 #> 19 0.795 16.654905 0.00000 #> 20 0.620 12.988731 167.59653 #> 21 0.620 12.988731 83.79826 #> 22 0.465 9.741548 125.69740 #> 23 0.427 8.945465 0.00000 #> 24 0.359 7.520894 0.00000 #> 25 0.339 7.101903 41.89913 #> 26 0.220 4.608904 20.94957 #> 27 0.213 4.462258 167.59653 #> 28 0.175 3.666174 41.89913 #> 29 0.145 3.037687 0.00000 #> 30 0.068 1.424570 0.00000 #> 31 0.039 0.817033 41.89913 #> 32 0.019 0.398042 41.89913 #> 33 0.010 0.209496 41.89913 #> 34 0.010 0.209496 83.79826 #> 35 0.004 0.083798 41.89913 #> #> #> $catch_means #> [1] \"A summary of catch data would not be helpful with these function parameters\" #> #> $haul #> year station haul stratum vessel_name date_time latitude_dd_start #> 1 2021 I-13 7 31 ALASKA KNIGHT 2021-06-02 12:05:29 57.65493 #> longitude_dd_start bottom_temperature_c surface_temperature_c depth_m #> 1 -160.2535 4.4 4.7 55 #> distance_fished_km net_width_m net_height_m area_swept_km2 duration_hr #> 1 2.954 16.159 1.794 0.047734 0.522 #> total_weight_kg #> 1 1220 #> ## for default 10 years and only 1 station for PCOD and walleye pollock ---- get_catch_haul_history( species_codes = c(21720, 21740), # pacific cod and walleye pollock survey = \"EBS\", station = \"I-13\") #> $catch #> $catch$`2013` #> station scientific_name common_name count weight_kg cpue_kgkm2 #> 19 I-13 Gadus chalcogrammus walleye pollock 20 49.20 1136.2251 #> 20 I-13 Gadus macrocephalus Pacific cod 68 30.72 709.4479 #> cpue_nokm2 #> 19 461.8801 #> 20 1570.3924 #> #> $catch$`2014` #> station scientific_name common_name count weight_kg cpue_kgkm2 #> 17 I-13 Gadus macrocephalus Pacific cod 138 54.367 1306.6566 #> 18 I-13 Gadus chalcogrammus walleye pollock 65 41.508 997.6033 #> cpue_nokm2 #> 17 3316.692 #> 18 1562.210 #> #> $catch$`2015` #> station scientific_name common_name count weight_kg cpue_kgkm2 #> 15 I-13 Gadus macrocephalus Pacific cod 827 442.790 9202.058 #> 16 I-13 Gadus chalcogrammus walleye pollock 363 377.003 7834.873 #> cpue_nokm2 #> 15 17186.707 #> 16 7543.863 #> #> $catch$`2016` #> station scientific_name common_name count weight_kg cpue_kgkm2 #> 13 I-13 Gadus macrocephalus Pacific cod 779 776.725 16690.3179 #> 14 I-13 Gadus chalcogrammus walleye pollock 37 7.043 151.3404 #> cpue_nokm2 #> 13 16739.2032 #> 14 795.0584 #> #> $catch$`2017` #> station scientific_name common_name count weight_kg cpue_kgkm2 #> 11 I-13 Gadus chalcogrammus walleye pollock 139 57.062 1303.8383 #> 12 I-13 Gadus macrocephalus Pacific cod 13 9.800 223.9251 #> cpue_nokm2 #> 11 3176.0808 #> 12 297.0435 #> #> $catch$`2018` #> station scientific_name common_name count weight_kg cpue_kgkm2 #> 9 I-13 Gadus chalcogrammus walleye pollock 95 80.05 1685.4747 #> 10 I-13 Gadus macrocephalus Pacific cod 8 5.05 106.3291 #> cpue_nokm2 #> 9 2000.2511 #> 10 168.4422 #> #> $catch$`2019` #> station scientific_name common_name count weight_kg cpue_kgkm2 #> 7 I-13 Gadus macrocephalus Pacific cod 118 43.080 946.3481 #> 8 I-13 Gadus chalcogrammus walleye pollock 31 6.915 151.9034 #> cpue_nokm2 #> 7 2592.133 #> 8 680.984 #> #> $catch$`2021` #> station scientific_name common_name count weight_kg cpue_kgkm2 #> 5 I-13 Gadus chalcogrammus walleye pollock 793 550.359 11529.7821 #> 6 I-13 Gadus macrocephalus Pacific cod 91 31.140 652.3695 #> cpue_nokm2 #> 5 16613.01 #> 6 1906.41 #> #> $catch$`2022` #> station scientific_name common_name count weight_kg cpue_kgkm2 #> 3 I-13 Gadus chalcogrammus walleye pollock 135 140.138 3252.886 #> 4 I-13 Gadus macrocephalus Pacific cod 173 104.016 2414.421 #> cpue_nokm2 #> 3 3133.623 #> 4 4015.679 #> #> $catch$`2023` #> station scientific_name common_name count weight_kg cpue_kgkm2 #> 1 I-13 Gadus chalcogrammus walleye pollock 70 41.744 898.023 #> 2 I-13 Gadus macrocephalus Pacific cod 31 9.190 197.701 #> cpue_nokm2 #> 1 1505.8837 #> 2 666.8913 #> #> #> $catch_means #> scientific_name common_name station count weight_kg cpue_kgkm2 #> 1 Gadus macrocephalus Pacific cod I-13 224.6 150.69 3244.96 #> 2 Gadus chalcogrammus walleye pollock I-13 174.8 135.10 2894.19 #> cpue_nokm2 Freq #> 1 4845.96 10 #> 2 3747.28 10 #> #> $haul #> year station haul stratum vessel_name date_time #> 1 2013 I-13 8 31 ALDEBARAN 2013-06-10 11:35:21 #> 2 2014 I-13 8 31 ALASKA KNIGHT 2014-06-09 12:34:43 #> 3 2015 I-13 9 31 VESTERAALEN 2015-06-04 11:36:07 #> 4 2016 I-13 12 31 ALASKA KNIGHT 2016-06-02 12:23:54 #> 5 2017 I-13 8 31 ALASKA KNIGHT 2017-06-05 15:12:37 #> 6 2018 I-13 9 31 ALASKA KNIGHT 2018-06-04 12:39:27 #> 7 2019 I-13 11 31 VESTERAALEN 2019-06-04 13:15:57 #> 8 2021 I-13 7 31 ALASKA KNIGHT 2021-06-02 12:05:29 #> 9 2022 I-13 12 31 VESTERAALEN 2022-06-01 16:20:20 #> 10 2023 I-13 16 31 NORTHWEST EXPLORER 2023-05-30 13:43:02 #> latitude_dd_start longitude_dd_start bottom_temperature_c #> 1 57.67621 -160.2702 2.5 #> 2 57.67458 -160.2594 5.0 #> 3 57.67938 -160.2449 4.6 #> 4 57.66506 -160.2658 6.0 #> 5 57.65211 -160.2444 3.3 #> 6 57.68093 -160.2568 4.3 #> 7 57.69052 -160.2580 5.5 #> 8 57.65493 -160.2535 4.4 #> 9 57.65502 -160.2754 3.6 #> 10 57.66505 -160.2725 3.4 #> surface_temperature_c depth_m distance_fished_km net_width_m net_height_m #> 1 3.0 56 2.832 15.290 2.545 #> 2 6.1 54 2.772 15.010 2.257 #> 3 7.5 55 2.969 16.207 2.635 #> 4 7.1 55 3.116 14.935 2.880 #> 5 3.5 53 2.829 15.470 2.426 #> 6 4.5 54 2.887 16.451 2.459 #> 7 7.5 54 2.840 16.029 2.200 #> 8 4.7 55 2.954 16.159 1.794 #> 9 7.6 54 2.854 15.095 2.566 #> 10 3.4 55 2.879 16.146 2.175 #> area_swept_km2 duration_hr total_weight_kg #> 1 0.043301 0.498 2118.00 #> 2 0.041608 0.503 1456.00 #> 3 0.048119 0.527 3026.00 #> 4 0.046537 0.545 4480.00 #> 5 0.043765 0.518 1296.00 #> 6 0.047494 0.515 875.12 #> 7 0.045522 0.520 3186.00 #> 8 0.047734 0.522 1220.00 #> 9 0.043081 0.531 1190.00 #> 10 0.046484 0.516 812.00 #> # AI (or GOA) --------------------------------------------------------------- ## for two specific years and nearby stations ------------------------------- get_catch_haul_history( survey = \"AI\", years = c(2016, 2018), station = \"324-73\", grid_buffer = 3) #> $catch #> $catch$`2016` #> haul scientific_name common_name station count #> 88 3 Gadus macrocephalus Pacific cod 320-73 243 #> 89 7 Atheresthes stomias arrowtooth flounder 320-74 291 #> 90 3 Hippoglossus stenolepis Pacific halibut 320-73 133 #> 91 5 Hippoglossoides elassodon flathead sole 320-74 78 #> 92 5 Lepidopsetta bilineata southern rock sole 320-74 69 #> 93 3 Lepidopsetta bilineata southern rock sole 320-73 90 #> 94 3 Lepidopsetta polyxystra northern rock sole 320-73 103 #> 95 5 Hippoglossus stenolepis Pacific halibut 320-74 31 #> 96 4 Hippoglossoides elassodon flathead sole 324-73 133 #> 97 7 Gadus macrocephalus Pacific cod 320-74 10 #> 98 4 Atheresthes stomias arrowtooth flounder 324-73 54 #> 99 7 Lepidopsetta polyxystra northern rock sole 320-74 41 #> 100 3 Atheresthes stomias arrowtooth flounder 320-73 27 #> 101 7 Hippoglossus stenolepis Pacific halibut 320-74 12 #> 102 4 Hippoglossus stenolepis Pacific halibut 324-73 11 #> 103 7 Enteroctopus dofleini giant octopus 320-74 2 #> 104 5 Lepidopsetta polyxystra northern rock sole 320-74 26 #> 105 4 Anoplopoma fimbria sablefish 324-73 11 #> 106 4 Gadus chalcogrammus walleye pollock 324-73 10 #> 107 4 Lepidopsetta bilineata southern rock sole 324-73 6 #> 108 5 Atheresthes stomias arrowtooth flounder 320-74 8 #> 109 4 Parophrys vetulus English sole 324-73 6 #> 110 4 Glyptocephalus zachirus rex sole 324-73 29 #> 111 5 Gadus macrocephalus Pacific cod 320-74 4 #> 112 3 Anarrhichthys ocellatus wolf-eel 320-73 1 #> 113 4 Enteroctopus dofleini giant octopus 324-73 1 #> 114 4 Myoxocephalus polyacanthocephalus great sculpin 324-73 1 #> 115 3 Clupea pallasii Pacific herring 320-73 10 #> 116 7 Hemilepidotus jordani yellow Irish lord 320-74 6 #> 117 3 Pleurogrammus monopterygius Atka mackerel 320-73 5 #> 118 7 Glyptocephalus zachirus rex sole 320-74 7 #> 119 5 Hemilepidotus jordani yellow Irish lord 320-74 2 #> 120 7 Lepidopsetta bilineata southern rock sole 320-74 2 #> 121 4 Gadus macrocephalus Pacific cod 324-73 2 #> 122 7 Atheresthes evermanni Kamchatka flounder 320-74 8 #> 123 7 Chirona evermanni giant barnacle 320-74 NA #> 124 3 Hemilepidotus jordani yellow Irish lord 320-73 1 #> 125 5 Pycnopodia helianthoides sunflower sea star 320-74 1 #> 126 4 Gorgonocephalus eucnemis basketstar 324-73 4 #> 127 4 Thaliacea salp unid. 324-73 NA #> 128 3 Hippoglossoides elassodon flathead sole 320-73 1 #> 129 5 Pleurogrammus monopterygius Atka mackerel 320-74 1 #> 130 7 Sebastes polyspinis northern rockfish 320-74 2 #> 131 5 Gadus chalcogrammus walleye pollock 320-74 1 #> 132 7 Hippoglossoides elassodon flathead sole 320-74 1 #> 133 4 Fusitriton oregonensis Oregon triton 324-73 15 #> 134 4 Atheresthes evermanni Kamchatka flounder 324-73 5 #> 135 4 Podothecus accipenserinus sturgeon poacher 324-73 4 #> 136 5 Gorgonocephalus eucnemis basketstar 320-74 1 #> 137 7 Fusitriton oregonensis Oregon triton 320-74 9 #> 138 4 Sebastes polyspinis northern rockfish 324-73 1 #> 139 7 Pagurus trigonocheirus fuzzy hermit crab 320-74 5 #> 140 7 Thaliacea salp unid. 320-74 NA #> 141 4 Bathymaster signatus searcher 324-73 1 #> 142 7 Elassochirus cavimanus purple hermit 320-74 5 #> 143 4 Pagurus confragosus knobbyhand hermit 324-73 5 #> 144 7 Modiolus modiolus northern horsemussel 320-74 1 #> 145 5 Thaliacea salp unid. 320-74 NA #> 146 3 Ammodytes sp. sand lance unid. 320-73 2 #> 147 4 Pagurus aleuticus Aleutian hermit 324-73 3 #> 148 3 Fusitriton oregonensis Oregon triton 320-73 2 #> 149 7 Pagurus confragosus knobbyhand hermit 320-74 2 #> 150 4 Axinella blanca firm finger sponge 324-73 NA #> 151 7 Ceramaster patagonicus orange bat sea star 320-74 1 #> 152 3 Gorgonocephalus eucnemis basketstar 320-73 1 #> 153 4 Chaetopterus sp. parchment tubeworms 324-73 NA #> 154 5 Rajiformes egg case skate egg case unid. 320-74 4 #> 155 7 Alcyonidium pedunculatum fruit leather bryozoan 320-74 NA #> 156 4 Nudibranchia nudibranch unid. 324-73 1 #> 157 5 Ophiura sarsii notched brittlestar 320-74 6 #> 158 3 Ophiura sarsii notched brittlestar 320-73 5 #> 159 7 Metridium farcimen gigantic anemone 320-74 1 #> 160 4 Rajiformes egg case skate egg case unid. 324-73 NA #> 161 7 Hyas lyratus Pacific lyre crab 320-74 2 #> 162 4 Actiniaria sea anemone unid. 324-73 1 #> 163 4 Labidochirus splendescens splendid hermit 324-73 1 #> 164 7 Rajiformes egg case skate egg case unid. 320-74 NA #> 165 7 Styela rustica sea potato 320-74 NA #> weight_kg cpue_kgkm2 cpue_nokm2 #> 88 343.340 14793.441181 10470.10604 #> 89 136.844 6214.554539 13215.30627 #> 90 118.374 5100.363507 5730.55186 #> 91 67.768 3050.003623 3510.51060 #> 92 62.926 2832.081926 3105.45169 #> 93 59.940 2582.626156 3877.81705 #> 94 33.600 1447.718366 4437.94618 #> 95 28.166 1267.654380 1395.20293 #> 96 23.320 950.181635 5419.13196 #> 97 20.740 941.874405 454.13424 #> 98 20.212 823.545077 2200.24907 #> 99 20.080 911.901546 1861.95037 #> 100 17.950 773.409067 1163.34512 #> 101 15.040 683.017891 544.96108 #> 102 10.780 439.234907 448.19888 #> 103 10.220 464.125189 90.82685 #> 104 9.904 445.744834 1170.17020 #> 105 8.980 365.893271 448.19888 #> 106 8.680 353.669665 407.45353 #> 107 8.620 351.224944 244.47212 #> 108 8.320 374.454464 360.05237 #> 109 7.000 285.217472 244.47212 #> 110 6.612 269.408275 1181.61524 #> 111 6.080 273.639801 180.02618 #> 112 5.900 254.212451 43.08686 #> 113 5.562 226.625654 40.74535 #> 114 4.960 202.096951 40.74535 #> 115 4.320 186.135218 430.86856 #> 116 3.920 178.020621 272.48054 #> 117 3.870 166.746133 215.43428 #> 118 3.340 151.680835 317.89396 #> 119 2.540 114.316627 90.01309 #> 120 2.468 112.080329 90.82685 #> 121 2.240 91.269591 81.49071 #> 122 1.672 75.931244 363.30739 #> 123 1.508 68.483443 0.00000 #> 124 1.332 57.391692 43.08686 #> 125 1.320 59.408641 45.00655 #> 126 1.182 48.161007 162.98141 #> 127 1.072 43.679019 0.00000 #> 128 0.946 40.760166 43.08686 #> 129 0.910 40.955957 45.00655 #> 130 0.863 39.191785 90.82685 #> 131 0.754 33.934936 45.00655 #> 132 0.648 29.427898 45.41342 #> 133 0.500 20.372677 611.18030 #> 134 0.416 16.950067 203.72677 #> 135 0.360 14.668327 162.98141 #> 136 0.236 10.621545 45.00655 #> 137 0.226 10.263434 408.72081 #> 138 0.198 8.067580 40.74535 #> 139 0.186 8.446897 227.06712 #> 140 0.172 7.811109 0.00000 #> 141 0.152 6.193294 40.74535 #> 142 0.148 6.721187 227.06712 #> 143 0.142 5.785840 203.72677 #> 144 0.090 4.087208 45.41342 #> 145 0.088 3.960576 0.00000 #> 146 0.080 3.446948 86.17371 #> 147 0.066 2.689193 122.23606 #> 148 0.062 2.671385 86.17371 #> 149 0.060 2.724805 90.82685 #> 150 0.060 2.444721 0.00000 #> 151 0.058 2.633979 45.41342 #> 152 0.056 2.412864 43.08686 #> 153 0.054 2.200249 0.00000 #> 154 0.048 2.160314 180.02618 #> 155 0.044 1.998191 0.00000 #> 156 0.036 1.466833 40.74535 #> 157 0.032 1.440209 270.03928 #> 158 0.020 0.861737 215.43428 #> 159 0.020 0.908268 45.41342 #> 160 0.020 0.814907 0.00000 #> 161 0.018 0.817442 90.82685 #> 162 0.016 0.651926 40.74535 #> 163 0.008 0.325963 40.74535 #> 164 0.004 0.181654 0.00000 #> 165 0.002 0.090827 0.00000 #> #> $catch$`2018` #> haul scientific_name common_name station count #> 1 2 Gadus chalcogrammus walleye pollock 325-76 1616 #> 2 9 Atheresthes stomias arrowtooth flounder 320-74 1041 #> 3 1 Gadus chalcogrammus walleye pollock 324-73 489 #> 4 2 Porifera sponge unid. 325-76 NA #> 5 1 Atheresthes stomias arrowtooth flounder 324-73 357 #> 6 2 Mycale loveni lampshade sponge 325-76 NA #> 7 9 Lepidopsetta polyxystra northern rock sole 320-74 99 #> 8 2 Sebastes polyspinis northern rockfish 325-76 88 #> 9 2 Gadus macrocephalus Pacific cod 325-76 12 #> 10 9 Gadus chalcogrammus walleye pollock 320-74 35 #> 11 9 Gadus macrocephalus Pacific cod 320-74 9 #> 12 2 Atheresthes stomias arrowtooth flounder 325-76 33 #> 13 9 Hemilepidotus jordani yellow Irish lord 320-74 29 #> 14 9 Hippoglossus stenolepis Pacific halibut 320-74 9 #> 15 9 Bathyraja aleutica Aleutian skate 320-74 1 #> 16 1 Hippoglossus stenolepis Pacific halibut 324-73 11 #> 17 9 Sebastes alutus Pacific ocean perch 320-74 40 #> 18 1 Gadus macrocephalus Pacific cod 324-73 6 #> 19 2 Lepidopsetta polyxystra northern rock sole 325-76 54 #> 20 10 Gadus macrocephalus Pacific cod 320-73 4 #> 21 2 Pododesmus macrochisma abalone jingle 325-76 NA #> 22 2 Enteroctopus dofleini giant octopus 325-76 1 #> 23 10 Hippoglossus stenolepis Pacific halibut 320-73 6 #> 24 2 Hemilepidotus jordani yellow Irish lord 325-76 17 #> 25 2 Hexagrammos decagrammus kelp greenling 325-76 30 #> 26 1 Hippoglossoides elassodon flathead sole 324-73 37 #> 27 2 Hippoglossus stenolepis Pacific halibut 325-76 5 #> 28 9 Sebastes polyspinis northern rockfish 320-74 14 #> 29 9 Glyptocephalus zachirus rex sole 320-74 13 #> 30 9 Lepidopsetta bilineata southern rock sole 320-74 9 #> 31 1 Chionoecetes bairdi Tanner crab 324-73 25 #> 32 1 Glyptocephalus zachirus rex sole 324-73 24 #> 33 2 Pleurogrammus monopterygius Atka mackerel 325-76 10 #> 34 9 Enteroctopus dofleini giant octopus 320-74 1 #> 35 2 Tethya sp. ball sponge 325-76 NA #> 36 9 Hippoglossoides elassodon flathead sole 320-74 8 #> 37 10 Anarrhichthys ocellatus wolf-eel 320-73 1 #> 38 9 Pleurogrammus monopterygius Atka mackerel 320-74 3 #> 39 10 Lepidopsetta bilineata southern rock sole 320-73 7 #> 40 1 Arctoraja parmifera Alaska skate 324-73 1 #> 41 2 Fusitriton oregonensis Oregon triton 325-76 75 #> 42 9 Atheresthes evermanni Kamchatka flounder 320-74 3 #> 43 2 Hippoglossoides elassodon flathead sole 325-76 4 #> 44 2 Myoxocephalus polyacanthocephalus great sculpin 325-76 1 #> 45 2 Isodictya rigida orange finger sponge 325-76 NA #> 46 1 Pycnopodia helianthoides sunflower sea star 324-73 1 #> 47 2 Lepidopsetta bilineata southern rock sole 325-76 8 #> 48 2 Sebastes alutus Pacific ocean perch 325-76 30 #> 49 1 Myoxocephalus polyacanthocephalus great sculpin 324-73 1 #> 50 1 Bathyraja interrupta Bering skate 324-73 1 #> 51 2 Sebastes variabilis dusky rockfish 325-76 4 #> 52 2 Zaprora silenus prowfish 325-76 1 #> 53 10 Pleurogrammus monopterygius Atka mackerel 320-73 1 #> 54 2 Cucumaria fallax sea football 325-76 3 #> 55 1 Sebastes polyspinis northern rockfish 324-73 2 #> 56 1 Anoplopoma fimbria sablefish 324-73 2 #> 57 1 Hemilepidotus jordani yellow Irish lord 324-73 1 #> 58 2 Bathymaster signatus searcher 325-76 2 #> 59 10 Atheresthes stomias arrowtooth flounder 320-73 2 #> 60 1 Fusitriton oregonensis Oregon triton 324-73 21 #> 61 1 Thaliacea salp unid. 324-73 5 #> 62 1 Pagurus ochotensis Alaskan hermit 324-73 15 #> 63 1 Gorgonocephalus eucnemis basketstar 324-73 1 #> 64 2 Modiolus modiolus northern horsemussel 325-76 12 #> 65 1 Metridium farcimen gigantic anemone 324-73 3 #> 66 9 Scyphozoa jellyfish unid. 320-74 1 #> 67 1 Triglops macellus roughspine sculpin 324-73 5 #> 68 2 Crystallichthys cyclospilus blotched snailfish 325-76 1 #> 69 2 Ceramaster patagonicus orange bat sea star 325-76 4 #> 70 1 Lepidopsetta polyxystra northern rock sole 324-73 1 #> 71 2 Aphrocallistes vastus clay pipe sponge 325-76 NA #> 72 2 Gorgonocephalus eucnemis basketstar 325-76 2 #> 73 1 Sarritor frenatus sawback poacher 324-73 3 #> 74 2 Pteraster militaris wrinkled star 325-76 2 #> 75 2 Scyphozoa jellyfish unid. 325-76 2 #> 76 2 Elassochirus gilli Pacific red hermit 325-76 2 #> 77 2 Podothecus accipenserinus sturgeon poacher 325-76 1 #> 78 2 Doris odhneri white night doris 325-76 2 #> 79 1 Atheresthes evermanni Kamchatka flounder 324-73 1 #> 80 1 Oregonia gracilis graceful decorator crab 324-73 1 #> 81 1 Stomphia coccinea swimming anemone 324-73 1 #> 82 2 Pagurus brandti sponge hermit 325-76 2 #> 83 2 Sarritor frenatus sawback poacher 325-76 1 #> 84 1 Crossaster papposus rose sea star 324-73 1 #> 85 1 Pagurus capillatus hairy hermit crab 324-73 1 #> 86 2 Elassochirus tenuimanus widehand hermit crab 325-76 1 #> 87 1 Ciliatocardium ciliatum hairy cockle 324-73 1 #> weight_kg cpue_kgkm2 cpue_nokm2 #> 1 1211.290 56195.947836 74971.84960 #> 2 643.495 25096.701051 40599.64070 #> 3 399.642 15729.789050 19246.89308 #> 4 227.830 10569.824564 0.00000 #> 5 98.418 3873.702911 14051.41274 #> 6 75.420 3498.995605 0.00000 #> 7 50.810 1981.621272 3861.06093 #> 8 45.950 2131.780006 4082.62547 #> 9 42.680 1980.073355 556.72166 #> 10 28.595 1115.222599 1365.02154 #> 11 26.500 1033.516310 351.00554 #> 12 23.050 1069.369513 1530.98455 #> 13 20.740 808.872765 1131.01785 #> 14 18.849 735.122601 351.00554 #> 15 18.780 732.431559 39.00062 #> 16 18.470 726.973651 432.95670 #> 17 17.560 684.850808 1560.02462 #> 18 15.540 611.649731 236.15820 #> 19 13.025 604.274964 2505.24745 #> 20 11.950 534.815361 179.01769 #> 21 11.200 519.606878 0.00000 #> 22 11.130 516.359335 46.39347 #> 23 9.534 426.688674 268.52654 #> 24 9.350 433.778957 788.68901 #> 25 9.346 433.593383 1391.80414 #> 26 9.250 364.077221 1456.30888 #> 27 9.080 421.252719 231.96736 #> 28 8.980 350.225527 546.00862 #> 29 7.520 293.284628 507.00800 #> 30 7.370 287.434536 351.00554 #> 31 6.900 271.581927 983.99249 #> 32 6.170 242.849346 944.63279 #> 33 5.740 266.298525 463.93471 #> 34 5.380 209.823311 39.00062 #> 35 5.080 235.678834 0.00000 #> 36 4.875 190.128000 312.00492 #> 37 4.670 209.003158 44.75442 #> 38 4.300 167.702647 117.00185 #> 39 4.100 183.493136 313.28096 #> 40 3.580 140.907724 39.35970 #> 41 3.280 152.170586 3479.51035 #> 42 2.940 114.661809 117.00185 #> 43 2.914 135.190575 185.57388 #> 44 2.720 126.190242 46.39347 #> 45 2.600 120.623025 0.00000 #> 46 2.504 98.556688 39.35970 #> 47 2.259 104.802852 371.14777 #> 48 2.159 100.163505 1391.80414 #> 49 1.890 74.389832 39.35970 #> 50 1.850 72.815444 39.35970 #> 51 1.632 75.714145 185.57388 #> 52 1.592 73.858406 46.39347 #> 53 1.140 51.020043 44.75442 #> 54 0.994 46.115110 139.18041 #> 55 0.990 38.966103 78.71940 #> 56 0.974 38.336347 78.71940 #> 57 0.880 34.636536 39.35970 #> 58 0.756 35.073464 92.78694 #> 59 0.730 32.670729 89.50885 #> 60 0.634 24.954050 826.55369 #> 61 0.452 17.790584 196.79850 #> 62 0.442 17.396987 590.39549 #> 63 0.430 16.924671 39.35970 #> 64 0.375 17.397552 556.72166 #> 65 0.360 14.169492 118.07910 #> 66 0.295 11.505182 39.00062 #> 67 0.292 11.493032 196.79850 #> 68 0.222 10.299351 46.39347 #> 69 0.200 9.278694 185.57388 #> 70 0.174 6.848588 39.35970 #> 71 0.155 7.190988 0.00000 #> 72 0.145 6.727053 92.78694 #> 73 0.140 5.510358 118.07910 #> 74 0.100 4.639347 92.78694 #> 75 0.095 4.407380 92.78694 #> 76 0.085 3.943445 92.78694 #> 77 0.072 3.340330 46.39347 #> 78 0.055 2.551641 92.78694 #> 79 0.042 1.653107 39.35970 #> 80 0.042 1.653107 39.35970 #> 81 0.034 1.338230 39.35970 #> 82 0.030 1.391804 92.78694 #> 83 0.024 1.113443 46.39347 #> 84 0.014 0.551036 39.35970 #> 85 0.012 0.472316 39.35970 #> 86 0.005 0.231967 46.39347 #> 87 0.002 0.078719 39.35970 #> #> #> $catch_means #> scientific_name common_name station count #> 1 Gadus chalcogrammus walleye pollock 325-76 1616.0 #> 2 Porifera sponge unid. 325-76 NaN #> 3 Atheresthes stomias arrowtooth flounder 320-74 446.7 #> 4 Gadus chalcogrammus walleye pollock 324-73 249.5 #> 5 Gadus macrocephalus Pacific cod 320-73 123.5 #> 6 Mycale loveni lampshade sponge 325-76 NaN #> 7 Hippoglossus stenolepis Pacific halibut 320-73 69.5 #> 8 Atheresthes stomias arrowtooth flounder 324-73 205.5 #> 9 Sebastes polyspinis northern rockfish 325-76 88.0 #> 10 Gadus macrocephalus Pacific cod 325-76 12.0 #> 11 Lepidopsetta polyxystra northern rock sole 320-73 103.0 #> 12 Lepidopsetta bilineata southern rock sole 320-73 48.5 #> 13 Lepidopsetta polyxystra northern rock sole 320-74 55.3 #> 14 Hippoglossoides elassodon flathead sole 320-74 29.0 #> 15 Lepidopsetta bilineata southern rock sole 320-74 26.7 #> 16 Atheresthes stomias arrowtooth flounder 325-76 33.0 #> 17 Hippoglossus stenolepis Pacific halibut 320-74 17.3 #> 18 Gadus macrocephalus Pacific cod 320-74 7.7 #> 19 Bathyraja aleutica Aleutian skate 320-74 1.0 #> 20 Sebastes alutus Pacific ocean perch 320-74 40.0 #> 21 Hippoglossoides elassodon flathead sole 324-73 85.0 #> 22 Lepidopsetta polyxystra northern rock sole 325-76 54.0 #> 23 Hippoglossus stenolepis Pacific halibut 324-73 11.0 #> 24 Gadus chalcogrammus walleye pollock 320-74 18.0 #> 25 Pododesmus macrochisma abalone jingle 325-76 NaN #> 26 Enteroctopus dofleini giant octopus 325-76 1.0 #> 27 Hemilepidotus jordani yellow Irish lord 325-76 17.0 #> 28 Hexagrammos decagrammus kelp greenling 325-76 30.0 #> 29 Hippoglossus stenolepis Pacific halibut 325-76 5.0 #> 30 Atheresthes stomias arrowtooth flounder 320-73 14.5 #> 31 Hemilepidotus jordani yellow Irish lord 320-74 12.3 #> 32 Gadus macrocephalus Pacific cod 324-73 4.0 #> 33 Lepidopsetta bilineata southern rock sole 324-73 6.0 #> 34 Enteroctopus dofleini giant octopus 320-74 1.5 #> 35 Parophrys vetulus English sole 324-73 6.0 #> 36 Chionoecetes bairdi Tanner crab 324-73 25.0 #> 37 Pleurogrammus monopterygius Atka mackerel 325-76 10.0 #> 38 Glyptocephalus zachirus rex sole 324-73 26.5 #> 39 Tethya sp. ball sponge 325-76 NaN #> 40 Anarrhichthys ocellatus wolf-eel 320-73 1.0 #> 41 Enteroctopus dofleini giant octopus 324-73 1.0 #> 42 Glyptocephalus zachirus rex sole 320-74 10.0 #> 43 Anoplopoma fimbria sablefish 324-73 6.5 #> 44 Sebastes polyspinis northern rockfish 320-74 8.0 #> 45 Clupea pallasii Pacific herring 320-73 10.0 #> 46 Fusitriton oregonensis Oregon triton 325-76 75.0 #> 47 Arctoraja parmifera Alaska skate 324-73 1.0 #> 48 Myoxocephalus polyacanthocephalus great sculpin 324-73 1.0 #> 49 Hippoglossoides elassodon flathead sole 325-76 4.0 #> 50 Myoxocephalus polyacanthocephalus great sculpin 325-76 1.0 #> 51 Isodictya rigida orange finger sponge 325-76 NaN #> 52 Pleurogrammus monopterygius Atka mackerel 320-73 3.0 #> 53 Lepidopsetta bilineata southern rock sole 325-76 8.0 #> 54 Pleurogrammus monopterygius Atka mackerel 320-74 2.0 #> 55 Sebastes alutus Pacific ocean perch 325-76 30.0 #> 56 Pycnopodia helianthoides sunflower sea star 324-73 1.0 #> 57 Atheresthes evermanni Kamchatka flounder 320-74 5.5 #> 58 Sebastes variabilis dusky rockfish 325-76 4.0 #> 59 Zaprora silenus prowfish 325-76 1.0 #> 60 Bathyraja interrupta Bering skate 324-73 1.0 #> 61 Chirona evermanni giant barnacle 320-74 NaN #> 62 Pycnopodia helianthoides sunflower sea star 320-74 1.0 #> 63 Hemilepidotus jordani yellow Irish lord 320-73 1.0 #> 64 Cucumaria fallax sea football 325-76 3.0 #> 65 Hippoglossoides elassodon flathead sole 320-73 1.0 #> 66 Bathymaster signatus searcher 325-76 2.0 #> 67 Hemilepidotus jordani yellow Irish lord 324-73 1.0 #> 68 Gorgonocephalus eucnemis basketstar 324-73 2.5 #> 69 Thaliacea salp unid. 324-73 5.0 #> 70 Sebastes polyspinis northern rockfish 324-73 1.5 #> 71 Fusitriton oregonensis Oregon triton 324-73 18.0 #> 72 Modiolus modiolus northern horsemussel 325-76 12.0 #> 73 Pagurus ochotensis Alaskan hermit 324-73 15.0 #> 74 Podothecus accipenserinus sturgeon poacher 324-73 4.0 #> 75 Metridium farcimen gigantic anemone 324-73 3.0 #> 76 Scyphozoa jellyfish unid. 320-74 1.0 #> 77 Triglops macellus roughspine sculpin 324-73 5.0 #> 78 Gorgonocephalus eucnemis basketstar 320-74 1.0 #> 79 Crystallichthys cyclospilus blotched snailfish 325-76 1.0 #> 80 Fusitriton oregonensis Oregon triton 320-74 9.0 #> 81 Atheresthes evermanni Kamchatka flounder 324-73 3.0 #> 82 Ceramaster patagonicus orange bat sea star 325-76 4.0 #> 83 Pagurus trigonocheirus fuzzy hermit crab 320-74 5.0 #> 84 Aphrocallistes vastus clay pipe sponge 325-76 NaN #> 85 Lepidopsetta polyxystra northern rock sole 324-73 1.0 #> 86 Gorgonocephalus eucnemis basketstar 325-76 2.0 #> 87 Elassochirus cavimanus purple hermit 320-74 5.0 #> 88 Bathymaster signatus searcher 324-73 1.0 #> 89 Thaliacea salp unid. 320-74 NaN #> 90 Pagurus confragosus knobbyhand hermit 324-73 5.0 #> 91 Sarritor frenatus sawback poacher 324-73 3.0 #> 92 Pteraster militaris wrinkled star 325-76 2.0 #> 93 Scyphozoa jellyfish unid. 325-76 2.0 #> 94 Modiolus modiolus northern horsemussel 320-74 1.0 #> 95 Elassochirus gilli Pacific red hermit 325-76 2.0 #> 96 Ammodytes sp. sand lance unid. 320-73 2.0 #> 97 Podothecus accipenserinus sturgeon poacher 325-76 1.0 #> 98 Pagurus confragosus knobbyhand hermit 320-74 2.0 #> 99 Pagurus aleuticus Aleutian hermit 324-73 3.0 #> 100 Fusitriton oregonensis Oregon triton 320-73 2.0 #> 101 Ceramaster patagonicus orange bat sea star 320-74 1.0 #> 102 Doris odhneri white night doris 325-76 2.0 #> 103 Axinella blanca firm finger sponge 324-73 NaN #> 104 Gorgonocephalus eucnemis basketstar 320-73 1.0 #> 105 Chaetopterus sp. parchment tubeworms 324-73 NaN #> 106 Alcyonidium pedunculatum fruit leather bryozoan 320-74 NaN #> 107 Oregonia gracilis graceful decorator crab 324-73 1.0 #> 108 Nudibranchia nudibranch unid. 324-73 1.0 #> 109 Ophiura sarsii notched brittlestar 320-74 6.0 #> 110 Pagurus brandti sponge hermit 325-76 2.0 #> 111 Stomphia coccinea swimming anemone 324-73 1.0 #> 112 Rajiformes egg case skate egg case unid. 320-74 4.0 #> 113 Sarritor frenatus sawback poacher 325-76 1.0 #> 114 Metridium farcimen gigantic anemone 320-74 1.0 #> 115 Ophiura sarsii notched brittlestar 320-73 5.0 #> 116 Hyas lyratus Pacific lyre crab 320-74 2.0 #> 117 Rajiformes egg case skate egg case unid. 324-73 NaN #> 118 Actiniaria sea anemone unid. 324-73 1.0 #> 119 Crossaster papposus rose sea star 324-73 1.0 #> 120 Pagurus capillatus hairy hermit crab 324-73 1.0 #> 121 Labidochirus splendescens splendid hermit 324-73 1.0 #> 122 Elassochirus tenuimanus widehand hermit crab 325-76 1.0 #> 123 Styela rustica sea potato 320-74 NaN #> 124 Ciliatocardium ciliatum hairy cockle 324-73 1.0 #> weight_kg cpue_kgkm2 cpue_nokm2 Freq #> 1 1211.29 56195.95 74971.85 5 #> 2 227.83 10569.82 0.00 1 #> 3 262.89 10561.90 18058.33 8 #> 4 204.16 8041.73 9827.17 5 #> 5 177.64 7664.13 5324.56 8 #> 6 75.42 3499.00 0.00 1 #> 7 63.95 2763.53 2999.54 8 #> 8 59.32 2348.62 8125.83 8 #> 9 45.95 2131.78 4082.63 5 #> 10 42.68 1980.07 556.72 8 #> 11 33.60 1447.72 4437.95 6 #> 12 32.02 1383.06 2095.55 7 #> 13 26.93 1113.09 2297.73 6 #> 14 24.43 1089.85 1289.31 7 #> 15 24.25 1077.20 1182.43 7 #> 16 23.05 1069.37 1530.98 8 #> 17 20.68 895.26 763.72 8 #> 18 17.77 749.68 328.39 8 #> 19 18.78 732.43 39.00 1 #> 20 17.56 684.85 1560.02 2 #> 21 16.28 657.13 3437.72 7 #> 22 13.03 604.27 2505.25 6 #> 23 14.62 583.10 440.58 8 #> 24 14.67 574.58 705.01 5 #> 25 11.20 519.61 0.00 1 #> 26 11.13 516.36 46.39 4 #> 27 9.35 433.78 788.69 6 #> 28 9.35 433.59 1391.80 1 #> 29 9.08 421.25 231.97 8 #> 30 9.34 403.04 626.43 8 #> 31 9.07 367.07 497.84 6 #> 32 8.89 351.46 158.82 8 #> 33 8.62 351.22 244.47 7 #> 34 7.80 336.97 64.91 4 #> 35 7.00 285.22 244.47 1 #> 36 6.90 271.58 983.99 1 #> 37 5.74 266.30 463.93 5 #> 38 6.39 256.13 1063.12 4 #> 39 5.08 235.68 0.00 1 #> 40 5.28 231.61 43.92 2 #> 41 5.56 226.63 40.75 4 #> 42 5.43 222.48 412.45 4 #> 43 4.98 202.11 263.46 2 #> 44 4.92 194.71 318.42 5 #> 45 4.32 186.14 430.87 1 #> 46 3.28 152.17 3479.51 5 #> 47 3.58 140.91 39.36 1 #> 48 3.42 138.24 40.05 3 #> 49 2.91 135.19 185.57 7 #> 50 2.72 126.19 46.39 3 #> 51 2.60 120.62 0.00 1 #> 52 2.50 108.88 130.09 5 #> 53 2.26 104.80 371.15 7 #> 54 2.60 104.33 81.00 5 #> 55 2.16 100.16 1391.80 2 #> 56 2.50 98.56 39.36 2 #> 57 2.31 95.30 240.15 4 #> 58 1.63 75.71 185.57 1 #> 59 1.59 73.86 46.39 1 #> 60 1.85 72.82 39.36 1 #> 61 1.51 68.48 0.00 1 #> 62 1.32 59.41 45.01 2 #> 63 1.33 57.39 43.09 6 #> 64 0.99 46.12 139.18 1 #> 65 0.95 40.76 43.09 7 #> 66 0.76 35.07 92.79 2 #> 67 0.88 34.64 39.36 6 #> 68 0.81 32.54 101.17 5 #> 69 0.76 30.73 98.40 4 #> 70 0.59 23.52 59.73 5 #> 71 0.57 22.66 718.87 5 #> 72 0.38 17.40 556.72 2 #> 73 0.44 17.40 590.40 1 #> 74 0.36 14.67 162.98 2 #> 75 0.36 14.17 118.08 2 #> 76 0.30 11.51 39.00 2 #> 77 0.29 11.49 196.80 1 #> 78 0.24 10.62 45.01 5 #> 79 0.22 10.30 46.39 1 #> 80 0.23 10.26 408.72 5 #> 81 0.23 9.30 121.54 4 #> 82 0.20 9.28 185.57 2 #> 83 0.19 8.45 227.07 1 #> 84 0.16 7.19 0.00 1 #> 85 0.17 6.85 39.36 6 #> 86 0.14 6.73 92.79 5 #> 87 0.15 6.72 227.07 1 #> 88 0.15 6.19 40.75 2 #> 89 0.13 5.89 0.00 4 #> 90 0.14 5.79 203.73 2 #> 91 0.14 5.51 118.08 2 #> 92 0.10 4.64 92.79 1 #> 93 0.10 4.41 92.79 2 #> 94 0.09 4.09 45.41 2 #> 95 0.09 3.94 92.79 1 #> 96 0.08 3.45 86.17 1 #> 97 0.07 3.34 46.39 2 #> 98 0.06 2.72 90.83 2 #> 99 0.07 2.69 122.24 1 #> 100 0.06 2.67 86.17 5 #> 101 0.06 2.63 45.41 2 #> 102 0.06 2.55 92.79 1 #> 103 0.06 2.44 0.00 1 #> 104 0.06 2.41 43.09 5 #> 105 0.05 2.20 0.00 1 #> 106 0.04 2.00 0.00 1 #> 107 0.04 1.65 39.36 1 #> 108 0.04 1.47 40.75 1 #> 109 0.03 1.44 270.04 2 #> 110 0.03 1.39 92.79 1 #> 111 0.03 1.34 39.36 1 #> 112 0.03 1.17 90.01 3 #> 113 0.02 1.11 46.39 2 #> 114 0.02 0.91 45.41 2 #> 115 0.02 0.86 215.43 2 #> 116 0.02 0.82 90.83 1 #> 117 0.02 0.81 0.00 3 #> 118 0.02 0.65 40.75 1 #> 119 0.01 0.55 39.36 1 #> 120 0.01 0.47 39.36 1 #> 121 0.01 0.33 40.75 1 #> 122 0.00 0.23 46.39 1 #> 123 0.00 0.09 0.00 1 #> 124 0.00 0.08 39.36 1 #> #> $haul #> year station haul stratum vessel_name date_time #> 1 2016 320-73 3 721 ALASKA PROVIDER 2016-06-07 15:15:11 #> 2 2016 320-74 7 722 SEA STORM 2016-06-08 09:23:26 #> 3 2016 320-74 5 721 SEA STORM 2016-06-07 18:04:38 #> 4 2016 324-73 4 721 SEA STORM 2016-06-07 16:05:45 #> 5 2018 320-73 10 721 SEA STORM 2018-06-11 17:28:48 #> 6 2018 320-74 9 722 SEA STORM 2018-06-11 15:08:22 #> 7 2018 324-73 1 721 OCEAN EXPLORER 2018-06-09 07:27:06 #> 8 2018 325-76 2 721 OCEAN EXPLORER 2018-06-09 11:58:02 #> latitude_dd_start longitude_dd_start bottom_temperature_c #> 1 54.20566 -166.0491 6.3 #> 2 54.25784 -166.0004 6.2 #> 3 54.22642 -166.0167 6.4 #> 4 54.21666 -165.7556 6.4 #> 5 54.21682 -166.0323 5.6 #> 6 54.24662 -166.0222 4.5 #> 7 54.21011 -165.7440 5.3 #> 8 54.35293 -165.5989 5.0 #> surface_temperature_c depth_m distance_fished_km net_width_m net_height_m #> 1 7.1 61 1.526 15.209 5.907 #> 2 6.9 110 1.441 15.281 7.178 #> 3 7.4 74 1.515 14.666 7.647 #> 4 7.6 93 1.436 17.091 6.704 #> 5 5.8 63 1.436 15.560 6.568 #> 6 7.0 109 1.451 17.671 6.146 #> 7 NA 96 1.549 16.402 4.755 #> 8 6.2 83 1.321 16.317 5.575 #> area_swept_km2 duration_hr total_weight_kg #> 1 0.023209 0.272 590.05 #> 2 0.022020 0.265 410.23 #> 3 0.022219 0.274 410.23 #> 4 0.024543 0.269 111.26 #> 5 0.022344 0.294 32.12 #> 6 0.025641 0.269 867.17 #> 7 0.025407 0.274 571.17 #> 8 0.021555 0.239 1735.27 #> ## for default 10 years and nearby stations for all species (a typical use-case) ---- get_catch_haul_history( survey = \"AI\", years = NA, # default station = \"324-73\", grid_buffer = 3) #> $catch #> $catch$`2000` #> haul scientific_name common_name #> 789 6 Gadus chalcogrammus walleye pollock #> 790 7 Gadus chalcogrammus walleye pollock #> 791 10 Lepidopsetta bilineata southern rock sole #> 792 7 Atheresthes stomias arrowtooth flounder #> 793 7 Gadus macrocephalus Pacific cod #> 794 6 Gadus macrocephalus Pacific cod #> 795 9 Hippoglossus stenolepis Pacific halibut #> 796 9 Lepidopsetta bilineata southern rock sole #> 797 10 Gadus macrocephalus Pacific cod #> 798 7 Hippoglossus stenolepis Pacific halibut #> 799 7 Lepidopsetta polyxystra northern rock sole #> 800 10 Atheresthes stomias arrowtooth flounder #> 801 10 Lepidopsetta polyxystra northern rock sole #> 802 6 Hippoglossoides elassodon flathead sole #> 803 7 Hemilepidotus jordani yellow Irish lord #> 804 10 Hippoglossus stenolepis Pacific halibut #> 805 6 Atheresthes stomias arrowtooth flounder #> 806 9 Lepidopsetta polyxystra northern rock sole #> 807 6 Glyptocephalus zachirus rex sole #> 808 6 Chionoecetes bairdi Tanner crab #> 809 7 Hippoglossoides elassodon flathead sole #> 810 7 Arctoraja parmifera Alaska skate #> 811 10 Gadus chalcogrammus walleye pollock #> 812 7 Lepidopsetta bilineata southern rock sole #> 813 6 Arctoraja parmifera Alaska skate #> 814 6 Myoxocephalus polyacanthocephalus great sculpin #> 815 6 Sebastes variabilis dusky rockfish #> 816 7 Squalus suckleyi spiny dogfish #> 817 6 Lepidopsetta polyxystra northern rock sole #> 818 6 Lepidopsetta bilineata southern rock sole #> 819 7 Pleurogrammus monopterygius Atka mackerel #> 820 6 Hippoglossus stenolepis Pacific halibut #> 821 6 Hemilepidotus jordani yellow Irish lord #> 822 6 Pycnopodia helianthoides sunflower sea star #> 823 7 Sebastes variabilis dusky rockfish #> 824 10 Glyptocephalus zachirus rex sole #> 825 7 Lethasterias nanimensis blackspined sea star #> 826 10 Strongylocentrotus droebachiensis green sea urchin #> 827 9 Hemilepidotus jordani yellow Irish lord #> 828 9 Strongylocentrotus droebachiensis green sea urchin #> 829 10 Lethasterias nanimensis blackspined sea star #> 830 6 Berryteuthis magister magistrate armhook squid #> 831 7 Triglops forficatus scissortail sculpin #> 832 10 Gymnocanthus galeatus armorhead sculpin #> 833 6 Podothecus accipenserinus sturgeon poacher #> 834 7 Strongylocentrotus droebachiensis green sea urchin #> 835 7 Gymnocanthus galeatus armorhead sculpin #> 836 10 Berryteuthis magister magistrate armhook squid #> 837 6 Sebastes alutus Pacific ocean perch #> 838 9 Gymnocanthus galeatus armorhead sculpin #> 839 10 Hippoglossoides elassodon flathead sole #> 840 9 Gorgonocephalus eucnemis basketstar #> 841 6 Strongylocentrotus droebachiensis green sea urchin #> 842 6 Gymnocanthus galeatus armorhead sculpin #> 843 6 Fusitriton oregonensis Oregon triton #> 844 6 Microstomus pacificus Dover sole #> 845 7 Pododesmus macrochisma abalone jingle #> 846 6 Tethya sp. ball sponge #> 847 6 Annelida worm unid. #> 848 10 Ophiura sarsii notched brittlestar #> 849 10 Sarritor frenatus sawback poacher #> 850 10 Pagurus aleuticus Aleutian hermit #> 851 10 Echinarachnius parma parma sand dollar #> 852 6 Sarritor frenatus sawback poacher #> 853 7 Pagurus brandti sponge hermit #> 854 7 Ophiura sarsii notched brittlestar #> 855 6 Gorgonocephalus eucnemis basketstar #> 856 7 Sebastes sp. white spotted red rockfish unid. #> 857 9 Gadus chalcogrammus walleye pollock #> 858 9 Ophiura sarsii notched brittlestar #> 859 6 Dasycottus setiger spinyhead sculpin #> 860 6 Pagurus tanneri longhand hermit #> 861 9 Hydroidolina hydroid unid. #> station count weight_kg cpue_kgkm2 cpue_nokm2 #> 789 324-73 550 807.500 32352.618298 22035.83909 #> 790 326-76 735 565.000 28200.333573 36685.38969 #> 791 321-74 241 151.400 6440.030435 10249.43655 #> 792 326-76 303 143.200 7147.411978 15123.36473 #> 793 326-76 37 108.000 5390.506240 1846.74751 #> 794 324-73 49 91.000 3645.929740 1963.19294 #> 795 320-74 32 57.108 2232.974886 1251.22919 #> 796 320-74 76 54.390 2126.698607 2971.66932 #> 797 321-74 22 52.600 2192.356271 907.83822 #> 798 326-76 23 47.061 2348.913094 1147.97818 #> 799 326-76 85 44.000 2196.132172 4242.52806 #> 800 321-74 100 43.900 1783.350027 4062.30074 #> 801 321-74 98 43.700 1823.509944 4075.26842 #> 802 324-73 202 38.368 1537.220135 8093.16272 #> 803 326-76 42 33.700 1682.037595 2096.30798 #> 804 321-74 33 28.157 1180.657219 1399.44280 #> 805 324-73 164 21.900 877.427047 6570.68656 #> 806 320-74 44 20.810 813.689980 1720.44013 #> 807 324-73 76 12.600 504.821041 3044.95231 #> 808 324-73 20 12.200 488.794976 801.30324 #> 809 326-76 17 11.900 593.953928 848.50561 #> 810 326-76 1 9.200 459.191272 49.91210 #> 811 321-74 8 8.818 374.701076 339.11611 #> 812 326-76 8 8.600 429.244015 399.29676 #> 813 324-73 2 7.152 286.546038 80.13032 #> 814 324-73 6 7.120 285.263953 240.39097 #> 815 324-73 9 3.980 159.459345 360.58646 #> 816 326-76 1 3.100 154.727494 49.91210 #> 817 324-73 5 2.584 103.528379 200.32581 #> 818 324-73 2 2.388 95.675607 80.13032 #> 819 326-76 2 2.262 112.901158 99.82419 #> 820 324-73 2 1.872 75.001983 80.13032 #> 821 324-73 3 1.828 73.239116 120.19549 #> 822 324-73 1 1.722 68.992209 40.06516 #> 823 326-76 1 1.602 79.959176 49.91210 #> 824 321-74 2 0.914 37.129429 81.24601 #> 825 326-76 5 0.878 43.822819 249.56047 #> 826 321-74 15 0.770 31.279716 609.34511 #> 827 320-74 1 0.632 24.711776 39.10091 #> 828 320-74 7 0.550 21.505502 273.70638 #> 829 321-74 1 0.488 20.973435 42.97835 #> 830 324-73 2 0.428 17.147889 80.13032 #> 831 326-76 5 0.428 21.362377 249.56047 #> 832 321-74 2 0.424 17.224155 81.24601 #> 833 324-73 5 0.392 15.705543 200.32581 #> 834 326-76 4 0.330 16.470991 199.64838 #> 835 326-76 1 0.282 14.075211 49.91210 #> 836 321-74 2 0.226 9.180800 81.24601 #> 837 324-73 2 0.220 8.814336 80.13032 #> 838 320-74 2 0.214 8.367595 78.20182 #> 839 321-74 1 0.210 8.530832 40.62301 #> 840 320-74 1 0.182 7.116366 39.10091 #> 841 324-73 1 0.178 7.131599 40.06516 #> 842 324-73 1 0.172 6.891208 40.06516 #> 843 324-73 5 0.158 6.330296 200.32581 #> 844 324-73 1 0.122 4.887950 40.06516 #> 845 326-76 2 0.102 5.091034 99.82419 #> 846 324-73 1 0.088 3.525734 40.06516 #> 847 324-73 NA 0.084 3.365474 0.00000 #> 848 321-74 18 0.074 3.180398 773.61030 #> 849 321-74 1 0.060 2.437380 40.62301 #> 850 321-74 1 0.048 1.949904 40.62301 #> 851 321-74 2 0.042 1.805091 85.95670 #> 852 324-73 1 0.042 1.682737 40.06516 #> 853 326-76 2 0.042 2.096308 99.82419 #> 854 326-76 4 0.032 1.597187 199.64838 #> 855 324-73 1 0.030 1.201955 40.06516 #> 856 326-76 2 0.028 1.397539 99.82419 #> 857 320-74 1 0.016 0.625615 39.10091 #> 858 320-74 1 0.014 0.547413 39.10091 #> 859 324-73 1 0.008 0.320521 40.06516 #> 860 324-73 1 0.004 0.160261 40.06516 #> 861 320-74 NA 0.001 0.039101 0.00000 #> #> $catch$`2002` #> haul scientific_name common_name station count #> 725 23 Gadus chalcogrammus walleye pollock 321-74 4153 #> 726 23 Lepidopsetta bilineata southern rock sole 321-74 176 #> 727 28 Hippoglossus stenolepis Pacific halibut 320-74 49 #> 728 28 Gadus macrocephalus Pacific cod 320-74 41 #> 729 23 Atheresthes stomias arrowtooth flounder 321-74 85 #> 730 16 Gadus chalcogrammus walleye pollock 324-73 50 #> 731 28 Lepidopsetta bilineata southern rock sole 320-74 63 #> 732 27 Lepidopsetta bilineata southern rock sole 320-73 25 #> 733 16 Atheresthes stomias arrowtooth flounder 324-73 154 #> 734 23 Hippoglossus stenolepis Pacific halibut 321-74 13 #> 735 23 Gadus macrocephalus Pacific cod 321-74 15 #> 736 16 Somniosus pacificus Pacific sleeper shark 324-73 1 #> 737 28 Lepidopsetta polyxystra northern rock sole 320-74 50 #> 738 16 Gadus macrocephalus Pacific cod 324-73 15 #> 739 16 Glyptocephalus zachirus rex sole 324-73 47 #> 740 28 Atheresthes stomias arrowtooth flounder 320-74 47 #> 741 27 Hippoglossus stenolepis Pacific halibut 320-73 16 #> 742 16 Hippoglossoides elassodon flathead sole 324-73 85 #> 743 16 Hippoglossus stenolepis Pacific halibut 324-73 3 #> 744 27 Atheresthes stomias arrowtooth flounder 320-73 38 #> 745 23 Lepidopsetta polyxystra northern rock sole 321-74 10 #> 746 28 Hemilepidotus jordani yellow Irish lord 320-74 8 #> 747 16 Chionoecetes bairdi Tanner crab 324-73 9 #> 748 27 Myoxocephalus polyacanthocephalus great sculpin 320-73 1 #> 749 28 Myoxocephalus polyacanthocephalus great sculpin 320-74 1 #> 750 27 Lepidopsetta polyxystra northern rock sole 320-73 7 #> 751 27 Gadus macrocephalus Pacific cod 320-73 2 #> 752 28 Metridium farcimen gigantic anemone 320-74 13 #> 753 16 Lepidopsetta bilineata southern rock sole 324-73 2 #> 754 27 Hemilepidotus jordani yellow Irish lord 320-73 3 #> 755 28 Sebastes variabilis dusky rockfish 320-74 2 #> 756 27 Gadus chalcogrammus walleye pollock 320-73 3 #> 757 16 Myoxocephalus polyacanthocephalus great sculpin 324-73 1 #> 758 28 Hexagrammos decagrammus kelp greenling 320-74 2 #> 759 28 Scyphozoa jellyfish unid. 320-74 NA #> 760 23 Sebastes ciliatus dark rockfish 321-74 1 #> 761 27 Pleurogrammus monopterygius Atka mackerel 320-73 3 #> 762 28 Porifera sponge unid. 320-74 NA #> 763 23 Limanda aspera yellowfin sole 321-74 1 #> 764 23 Hippoglossoides elassodon flathead sole 321-74 2 #> 765 23 Pleurogrammus monopterygius Atka mackerel 321-74 2 #> 766 16 Podothecus accipenserinus sturgeon poacher 324-73 14 #> 767 27 Lethasterias nanimensis blackspined sea star 320-73 3 #> 768 16 Lepidopsetta polyxystra northern rock sole 324-73 1 #> 769 16 Axinella blanca firm finger sponge 324-73 NA #> 770 16 Hemilepidotus jordani yellow Irish lord 324-73 1 #> 771 16 Sebastes variabilis dusky rockfish 324-73 1 #> 772 27 Strongylocentrotus droebachiensis green sea urchin 320-73 7 #> 773 23 Gymnocanthus galeatus armorhead sculpin 321-74 1 #> 774 16 Monanchora pulchra yellow leafy sponge 324-73 NA #> 775 16 Sebastes polyspinis northern rockfish 324-73 1 #> 776 28 Strongylocentrotus droebachiensis green sea urchin 320-74 2 #> 777 23 Echinarachnius parma parma sand dollar 321-74 4 #> 778 28 Thaliacea salp unid. 320-74 NA #> 779 16 Fusitriton oregonensis Oregon triton 324-73 2 #> 780 27 Podothecus accipenserinus sturgeon poacher 320-73 1 #> 781 23 Podothecus accipenserinus sturgeon poacher 321-74 1 #> 782 16 Mycale loveni lampshade sponge 324-73 1 #> 783 28 Fusitriton oregonensis Oregon triton 320-74 1 #> 784 28 Ammodytes sp. sand lance unid. 320-74 1 #> 785 28 Cucumaria fallax sea football 320-74 1 #> 786 27 Ophiura sarsii notched brittlestar 320-73 1 #> 787 27 Porifera sponge unid. 320-73 NA #> 788 16 Argis lar kuro argid 324-73 1 #> weight_kg cpue_kgkm2 cpue_nokm2 #> 725 3769.262 1.706609e+05 188035.45734 #> 726 171.600 7.769536e+03 7968.75523 #> 727 64.400 3.002039e+03 2284.16036 #> 728 56.900 2.652423e+03 1911.23622 #> 729 49.000 2.218574e+03 3848.54656 #> 730 45.400 1.950869e+03 2148.53465 #> 731 35.900 1.673497e+03 2936.77761 #> 732 30.300 1.584891e+03 1307.66570 #> 733 29.800 1.280527e+03 6617.48671 #> 734 27.204 1.231716e+03 588.60124 #> 735 27.100 1.227007e+03 679.15528 #> 736 25.800 1.108644e+03 42.97069 #> 737 25.200 1.174711e+03 2330.77588 #> 738 19.100 8.207402e+02 644.56039 #> 739 17.500 7.519871e+02 2019.62257 #> 740 17.200 8.017869e+02 2190.92933 #> 741 16.832 8.804252e+02 836.90605 #> 742 16.800 7.219076e+02 3652.50890 #> 743 16.774 7.207904e+02 128.91208 #> 744 13.900 7.270621e+02 1987.65187 #> 745 6.300 2.852452e+02 452.77018 #> 746 5.796 2.701835e+02 372.92414 #> 747 5.086 2.185489e+02 386.73624 #> 748 4.456 2.330783e+02 52.30663 #> 749 2.780 1.295911e+02 46.61552 #> 750 2.682 1.402864e+02 366.14640 #> 751 2.574 1.346373e+02 104.61326 #> 752 2.102 9.798582e+01 606.00173 #> 753 2.102 9.032440e+01 85.94139 #> 754 1.846 9.655804e+01 156.91988 #> 755 1.836 8.558609e+01 93.23104 #> 756 1.638 8.567826e+01 156.91988 #> 757 1.458 6.265127e+01 42.97069 #> 758 1.442 6.721958e+01 93.23104 #> 759 1.436 6.693988e+01 0.00000 #> 760 1.326 6.003733e+01 45.27702 #> 761 1.308 6.841707e+01 156.91988 #> 762 1.132 5.276877e+01 0.00000 #> 763 0.996 4.509591e+01 45.27702 #> 764 0.962 4.355649e+01 90.55404 #> 765 0.920 4.165486e+01 90.55404 #> 766 0.904 3.884551e+01 601.58970 #> 767 0.786 4.111301e+01 156.91988 #> 768 0.406 1.744610e+01 42.97069 #> 769 0.345 1.482489e+01 0.00000 #> 770 0.312 1.340686e+01 42.97069 #> 771 0.294 1.263338e+01 42.97069 #> 772 0.180 9.415193e+00 366.14640 #> 773 0.150 6.791553e+00 45.27702 #> 774 0.144 6.187780e+00 0.00000 #> 775 0.140 6.015897e+00 42.97069 #> 776 0.126 5.873555e+00 93.23104 #> 777 0.126 5.704904e+00 181.10807 #> 778 0.116 5.407400e+00 0.00000 #> 779 0.102 4.383011e+00 85.94139 #> 780 0.056 2.929171e+00 52.30663 #> 781 0.054 2.444959e+00 45.27702 #> 782 0.054 2.320417e+00 42.97069 #> 783 0.050 2.330776e+00 46.61552 #> 784 0.020 9.323100e-01 46.61552 #> 785 0.016 7.458480e-01 46.61552 #> 786 0.010 5.230660e-01 52.30663 #> 787 0.004 2.092270e-01 0.00000 #> 788 0.004 1.718830e-01 42.97069 #> #> $catch$`2004` #> haul scientific_name common_name station count #> 639 4 Pleurogrammus monopterygius Atka mackerel 326-76 10363 #> 640 5 Gadus chalcogrammus walleye pollock 324-73 777 #> 641 7 Gadus macrocephalus Pacific cod 320-74 96 #> 642 1 Atheresthes stomias arrowtooth flounder 321-74 346 #> 643 7 Hippoglossus stenolepis Pacific halibut 320-74 107 #> 644 6 Lepidopsetta bilineata southern rock sole 320-73 127 #> 645 6 Lepidopsetta polyxystra northern rock sole 320-73 217 #> 646 4 Gadus macrocephalus Pacific cod 326-76 12 #> 647 7 Lepidopsetta bilineata southern rock sole 320-74 93 #> 648 5 Atheresthes stomias arrowtooth flounder 324-73 240 #> 649 1 Lepidopsetta bilineata southern rock sole 321-74 91 #> 650 4 Hippoglossus stenolepis Pacific halibut 326-76 9 #> 651 5 Hippoglossoides elassodon flathead sole 324-73 237 #> 652 4 Tedania kagalaskai club sponge 326-76 NA #> 653 7 Lepidopsetta polyxystra northern rock sole 320-74 74 #> 654 1 Gadus macrocephalus Pacific cod 321-74 25 #> 655 6 Hippoglossus stenolepis Pacific halibut 320-73 22 #> 656 1 Lepidopsetta polyxystra northern rock sole 321-74 50 #> 657 7 Pleurogrammus monopterygius Atka mackerel 320-74 17 #> 658 1 Hippoglossus stenolepis Pacific halibut 321-74 7 #> 659 5 Glyptocephalus zachirus rex sole 324-73 49 #> 660 5 Beringraja binoculata big skate 324-73 1 #> 661 5 Hippoglossus stenolepis Pacific halibut 324-73 8 #> 662 6 Gadus macrocephalus Pacific cod 320-73 9 #> 663 6 Atheresthes stomias arrowtooth flounder 320-73 24 #> 664 1 Hippoglossoides elassodon flathead sole 321-74 14 #> 665 5 Gadus macrocephalus Pacific cod 324-73 5 #> 666 4 Mycale loveni lampshade sponge 326-76 NA #> 667 5 Arctoraja parmifera Alaska skate 324-73 1 #> 668 6 Pleurogrammus monopterygius Atka mackerel 320-73 9 #> 669 5 Myoxocephalus polyacanthocephalus great sculpin 324-73 3 #> 670 5 Hemilepidotus jordani yellow Irish lord 324-73 6 #> 671 1 Hemilepidotus jordani yellow Irish lord 321-74 3 #> 672 1 Strongylocentrotus droebachiensis green sea urchin 321-74 43 #> 673 5 Pleurogrammus monopterygius Atka mackerel 324-73 3 #> 674 7 Hemilepidotus jordani yellow Irish lord 320-74 3 #> 675 4 Hemitripterus bolini bigmouth sculpin 326-76 1 #> 676 5 Pleuronectes quadrituberculatus Alaska plaice 324-73 1 #> 677 1 Pleurogrammus monopterygius Atka mackerel 321-74 2 #> 678 7 Hexagrammos decagrammus kelp greenling 320-74 4 #> 679 7 Gadus chalcogrammus walleye pollock 320-74 2 #> 680 6 Aptocyclus ventricosus smooth lumpsucker 320-73 1 #> 681 1 Sebastes variabilis dusky rockfish 321-74 1 #> 682 5 Podothecus accipenserinus sturgeon poacher 324-73 14 #> 683 5 Lepidopsetta bilineata southern rock sole 324-73 2 #> 684 6 Gadus chalcogrammus walleye pollock 320-73 1 #> 685 4 Sebastes alutus Pacific ocean perch 326-76 4 #> 686 1 Thaliacea salp unid. 321-74 NA #> 687 4 Tethya sp. ball sponge 326-76 NA #> 688 5 Chionoecetes bairdi Tanner crab 324-73 4 #> 689 5 Fusitriton oregonensis Oregon triton 324-73 15 #> 690 4 Porifera sponge unid. 326-76 NA #> 691 5 Gymnocanthus galeatus armorhead sculpin 324-73 2 #> 692 1 Fusitriton oregonensis Oregon triton 321-74 8 #> 693 4 Sebastes polyspinis northern rockfish 326-76 1 #> 694 5 Clupea pallasii Pacific herring 324-73 1 #> 695 4 Sebastes variegatus harlequin rockfish 326-76 1 #> 696 4 Axinella blanca firm finger sponge 326-76 NA #> 697 5 Scyphozoa jellyfish unid. 324-73 1 #> 698 6 Thaliacea salp unid. 320-73 NA #> 699 5 Anoplopoma fimbria sablefish 324-73 1 #> 700 5 Stelodoryx oxeata scapula sponge 324-73 NA #> 701 1 Elassochirus cavimanus purple hermit 321-74 4 #> 702 5 Microstomus pacificus Dover sole 324-73 1 #> 703 4 Pododesmus macrochisma abalone jingle 326-76 3 #> 704 1 Podothecus accipenserinus sturgeon poacher 321-74 2 #> 705 6 Scyphozoa jellyfish unid. 320-73 NA #> 706 1 Pagurus ochotensis Alaskan hermit 321-74 2 #> 707 1 Scyphozoa jellyfish unid. 321-74 1 #> 708 7 Modiolus modiolus northern horsemussel 320-74 1 #> 709 5 Pagurus aleuticus Aleutian hermit 324-73 2 #> 710 1 Elassochirus tenuimanus widehand hermit crab 321-74 2 #> 711 4 Monanchora pulchra yellow leafy sponge 326-76 NA #> 712 7 Fusitriton oregonensis Oregon triton 320-74 1 #> 713 4 Fusitriton oregonensis Oregon triton 326-76 1 #> 714 5 Crossaster papposus rose sea star 324-73 1 #> 715 7 Elassochirus tenuimanus widehand hermit crab 320-74 3 #> 716 7 Ammodytes sp. sand lance unid. 320-74 1 #> 717 1 Hyas lyratus Pacific lyre crab 321-74 1 #> 718 6 Buccinum plectrum sinuous whelk 320-73 1 #> 719 7 Ophiura sarsii notched brittlestar 320-74 1 #> 720 1 Ophiura sarsii notched brittlestar 321-74 2 #> 721 4 Pagurus dalli whiteknee hermit 326-76 1 #> 722 1 Pagurus brandti sponge hermit 321-74 1 #> 723 1 Stomphia coccinea swimming anemone 321-74 1 #> 724 5 Eunoe nodosa giant scale worm 324-73 1 #> weight_kg cpue_kgkm2 cpue_nokm2 #> 639 11614.408 6.412954e+05 572198.24397 #> 640 804.260 3.108126e+04 30027.77395 #> 641 243.080 1.084801e+04 4284.22246 #> 642 184.880 6.666225e+03 12475.73542 #> 643 167.294 7.465882e+03 4775.12295 #> 644 120.050 5.364186e+03 5674.73238 #> 645 97.040 4.336032e+03 9696.19628 #> 646 69.470 3.835821e+03 662.58602 #> 647 65.860 2.939155e+03 4150.34051 #> 648 61.490 2.376329e+03 9274.98809 #> 649 57.400 2.069674e+03 3281.19053 #> 650 52.182 2.881255e+03 496.93951 #> 651 45.630 1.763407e+03 9159.05074 #> 652 43.860 2.421752e+03 0.00000 #> 653 36.060 1.609261e+03 3302.42148 #> 654 35.300 1.272813e+03 901.42597 #> 655 22.307 9.967422e+02 983.02451 #> 656 21.050 7.590007e+02 1802.85194 #> 657 21.030 9.385125e+02 758.66439 #> 658 19.555 7.050954e+02 252.39927 #> 659 16.580 6.407471e+02 1893.64340 #> 660 15.260 5.897347e+02 38.64578 #> 661 12.636 4.883281e+02 309.16627 #> 662 12.610 5.634518e+02 402.14639 #> 663 10.670 4.767669e+02 1072.39037 #> 664 9.380 3.382150e+02 504.79854 #> 665 7.010 2.709069e+02 193.22892 #> 666 6.780 3.743611e+02 0.00000 #> 667 6.560 2.535163e+02 38.64578 #> 668 4.782 2.136738e+02 402.14639 #> 669 4.528 1.749881e+02 115.93735 #> 670 4.020 1.553561e+02 231.87470 #> 671 3.562 1.284352e+02 108.17112 #> 672 3.440 1.240362e+02 1550.45267 #> 673 2.530 9.777383e+01 115.93735 #> 674 2.159 9.635038e+01 133.88195 #> 675 2.100 1.159526e+02 55.21550 #> 676 2.034 7.860552e+01 38.64578 #> 677 1.666 6.007103e+01 72.11408 #> 678 1.526 6.810129e+01 178.50927 #> 679 1.472 6.569141e+01 89.25463 #> 680 1.414 6.318167e+01 44.68293 #> 681 1.282 4.622512e+01 36.05704 #> 682 1.092 4.220120e+01 541.04097 #> 683 1.052 4.065536e+01 77.29157 #> 684 0.928 4.146576e+01 44.68293 #> 685 0.886 4.892093e+01 220.86201 #> 686 0.846 3.050426e+01 0.00000 #> 687 0.840 4.638102e+01 0.00000 #> 688 0.800 3.091663e+01 154.58313 #> 689 0.692 2.674288e+01 579.68676 #> 690 0.684 3.776740e+01 0.00000 #> 691 0.490 1.893643e+01 77.29157 #> 692 0.488 1.759584e+01 288.45631 #> 693 0.442 2.440525e+01 55.21550 #> 694 0.366 1.414436e+01 38.64578 #> 695 0.324 1.788982e+01 55.21550 #> 696 0.316 1.744810e+01 0.00000 #> 697 0.290 1.120728e+01 38.64578 #> 698 0.286 1.277932e+01 0.00000 #> 699 0.240 9.274988e+00 38.64578 #> 700 0.230 8.888530e+00 0.00000 #> 701 0.228 8.221005e+00 144.22815 #> 702 0.194 7.497282e+00 38.64578 #> 703 0.184 1.015965e+01 165.64650 #> 704 0.164 5.913354e+00 72.11408 #> 705 0.132 5.898147e+00 0.00000 #> 706 0.120 4.326845e+00 72.11408 #> 707 0.108 3.894160e+00 36.05704 #> 708 0.080 3.570185e+00 44.62732 #> 709 0.076 2.937080e+00 77.29157 #> 710 0.072 2.596107e+00 72.11408 #> 711 0.070 3.865085e+00 0.00000 #> 712 0.056 2.499130e+00 44.62732 #> 713 0.054 2.981637e+00 55.21550 #> 714 0.050 1.932289e+00 38.64578 #> 715 0.044 1.963602e+00 133.88195 #> 716 0.030 1.338820e+00 44.62732 #> 717 0.018 6.490270e-01 36.05704 #> 718 0.012 5.361950e-01 44.68293 #> 719 0.006 2.677640e-01 44.62732 #> 720 0.006 2.163420e-01 72.11408 #> 721 0.006 3.312930e-01 55.21550 #> 722 0.002 7.211400e-02 36.05704 #> 723 0.002 7.211400e-02 36.05704 #> 724 0.001 3.864600e-02 38.64578 #> #> $catch$`2006` #> haul scientific_name common_name station #> 516 7 Atheresthes stomias arrowtooth flounder 320-74 #> 517 6 Gadus chalcogrammus walleye pollock 324-73 #> 518 5 Tedania kagalaskai club sponge 325-76 #> 519 5 Mycale loveni lampshade sponge 325-76 #> 520 7 Atheresthes stomias arrowtooth flounder 321-74 #> 521 6 Atheresthes stomias arrowtooth flounder 324-73 #> 522 5 Porifera sponge unid. 325-76 #> 523 5 Hemilepidotus jordani yellow Irish lord 325-76 #> 524 7 Gadus chalcogrammus walleye pollock 321-74 #> 525 5 Lepidopsetta polyxystra northern rock sole 325-76 #> 526 7 Hippoglossus stenolepis Pacific halibut 320-74 #> 527 7 Lepidopsetta polyxystra northern rock sole 320-74 #> 528 5 Hippoglossus stenolepis Pacific halibut 325-76 #> 529 7 Gadus macrocephalus Pacific cod 321-74 #> 530 7 Lepidopsetta bilineata southern rock sole 321-74 #> 531 7 Hippoglossus stenolepis Pacific halibut 321-74 #> 532 6 Hippoglossus stenolepis Pacific halibut 324-73 #> 533 5 Gadus macrocephalus Pacific cod 325-76 #> 534 6 Enteroctopus dofleini giant octopus 324-73 #> 535 6 Hippoglossoides elassodon flathead sole 324-73 #> 536 7 Hemilepidotus jordani yellow Irish lord 320-74 #> 537 7 Glyptocephalus zachirus rex sole 320-74 #> 538 5 Pleurogrammus monopterygius Atka mackerel 325-76 #> 539 6 Gadus macrocephalus Pacific cod 324-73 #> 540 5 Atheresthes stomias arrowtooth flounder 325-76 #> 541 5 Pododesmus macrochisma abalone jingle 325-76 #> 542 5 Lepidopsetta bilineata southern rock sole 325-76 #> 543 7 Lepidopsetta polyxystra northern rock sole 321-74 #> 544 5 Gadus chalcogrammus walleye pollock 325-76 #> 545 7 Hippoglossoides elassodon flathead sole 321-74 #> 546 5 Arctoraja parmifera Alaska skate 325-76 #> 547 6 Myoxocephalus polyacanthocephalus great sculpin 324-73 #> 548 5 Monanchora pulchra yellow leafy sponge 325-76 #> 549 7 Myoxocephalus polyacanthocephalus great sculpin 320-74 #> 550 6 Glyptocephalus zachirus rex sole 324-73 #> 551 5 Bathymaster signatus searcher 325-76 #> 552 7 Gadus macrocephalus Pacific cod 320-74 #> 553 7 Gadus chalcogrammus walleye pollock 320-74 #> 554 5 Fusitriton oregonensis Oregon triton 325-76 #> 555 5 Hippoglossoides elassodon flathead sole 325-76 #> 556 5 Hexagrammos decagrammus kelp greenling 325-76 #> 557 7 Pleurogrammus monopterygius Atka mackerel 321-74 #> 558 7 Metridium farcimen gigantic anemone 321-74 #> 559 5 Oncorhynchus keta chum salmon 325-76 #> 560 7 Hemilepidotus jordani yellow Irish lord 321-74 #> 561 7 Lepidopsetta bilineata southern rock sole 320-74 #> 562 6 Fusitriton oregonensis Oregon triton 324-73 #> 563 5 Lethasterias nanimensis blackspined sea star 325-76 #> 564 5 Zoanthidae sp. A hot dog zoanthid 325-76 #> 565 5 Cucumaria fallax sea football 325-76 #> 566 5 Pagurus brandti sponge hermit 325-76 #> 567 6 Lepidopsetta bilineata southern rock sole 324-73 #> 568 7 Fusitriton oregonensis Oregon triton 321-74 #> 569 7 Glyptocephalus zachirus rex sole 321-74 #> 570 6 Lepidopsetta polyxystra northern rock sole 324-73 #> 571 5 Sebastes alutus Pacific ocean perch 325-76 #> 572 6 Chionoecetes bairdi Tanner crab 324-73 #> 573 7 Gorgonocephalus eucnemis basketstar 321-74 #> 574 5 Gymnocanthus galeatus armorhead sculpin 325-76 #> 575 7 Atheresthes evermanni Kamchatka flounder 320-74 #> 576 6 Gorgonocephalus eucnemis basketstar 324-73 #> 577 6 Pagurus trigonocheirus fuzzy hermit crab 324-73 #> 578 6 Hemilepidotus jordani yellow Irish lord 324-73 #> 579 6 Thaliacea salp unid. 324-73 #> 580 6 Lethasterias nanimensis blackspined sea star 324-73 #> 581 5 Crossaster papposus rose sea star 325-76 #> 582 7 Chionoecetes bairdi Tanner crab 321-74 #> 583 5 Modiolus modiolus northern horsemussel 325-76 #> 584 7 Gymnocanthus galeatus armorhead sculpin 321-74 #> 585 5 Mediaster aequalis vermilion sea star 325-76 #> 586 5 Sebastes ciliatus dark rockfish 325-76 #> 587 6 Podothecus accipenserinus sturgeon poacher 324-73 #> 588 6 Gymnocanthus galeatus armorhead sculpin 324-73 #> 589 5 Elassochirus cavimanus purple hermit 325-76 #> 590 7 Pagurus ochotensis Alaskan hermit 321-74 #> 591 5 Cheiraster dawsoni fragile sea star 325-76 #> 592 5 Ceramaster japonicus red bat star 325-76 #> 593 5 Triglops forficatus scissortail sculpin 325-76 #> 594 6 Erimacrus isenbeckii horsehair crab 324-73 #> 595 5 Acantholithodes hispidus fuzzy crab 325-76 #> 596 5 Scyphozoa jellyfish unid. 325-76 #> 597 5 Axinella blanca firm finger sponge 325-76 #> 598 6 Pododesmus macrochisma abalone jingle 324-73 #> 599 7 Podothecus accipenserinus sturgeon poacher 321-74 #> 600 7 Triglops macellus roughspine sculpin 321-74 #> 601 6 Pagurus aleuticus Aleutian hermit 324-73 #> 602 6 Crossaster papposus rose sea star 324-73 #> 603 7 Lethasterias nanimensis blackspined sea star 321-74 #> 604 5 Ascidia paratropa glassy tunicate 325-76 #> 605 5 Pseudarchaster parelii scarlet sea star 325-76 #> 606 6 Cyanea capillata lion's mane jelly 324-73 #> 607 6 Serripes notabilis oblique smoothcockle 324-73 #> 608 7 Elassochirus tenuimanus widehand hermit crab 321-74 #> 609 7 Hyas lyratus Pacific lyre crab 321-74 #> 610 5 Chaetopterus sp. parchment tubeworms 325-76 #> 611 5 Pagurus aleuticus Aleutian hermit 325-76 #> 612 7 Crossaster papposus rose sea star 321-74 #> 613 6 Pseudarchaster parelii scarlet sea star 324-73 #> 614 5 Rhinolithodes wosnessenskii rhinoceros crab 325-76 #> 615 7 Hyas lyratus Pacific lyre crab 320-74 #> 616 7 Pagurus aleuticus Aleutian hermit 320-74 #> 617 7 Elassochirus cavimanus purple hermit 320-74 #> 618 7 Henricia aspera ridged blood star 321-74 #> 619 7 Actiniaria sea anemone unid. 321-74 #> 620 5 Elassochirus tenuimanus widehand hermit crab 325-76 #> 621 7 Modiolus modiolus northern horsemussel 321-74 #> 622 7 Pseudarchaster parelii scarlet sea star 321-74 #> 623 7 Halocynthia aurantium sea peach 321-74 #> 624 7 Metridium farcimen gigantic anemone 320-74 #> 625 5 Pteraster militaris wrinkled star 325-76 #> 626 5 Leptychaster arcticus North Pacific sea star 325-76 #> 627 5 Porella compressa flattened bryozoan 325-76 #> 628 7 Ctenodiscus crispatus common mud star 321-74 #> 629 6 Cheiraster dawsoni fragile sea star 324-73 #> 630 5 Pedicellaster magister majestic sea star 325-76 #> 631 7 Ophiura sarsii notched brittlestar 321-74 #> 632 6 Pagurus rathbuni longfinger hermit 324-73 #> 633 5 Leptasterias hylodes Aleutian sea star 325-76 #> 634 7 Pagurus brandti sponge hermit 320-74 #> 635 7 Cryptonatica aleutica Aleutian moonsnail 321-74 #> 636 5 Oregonia gracilis graceful decorator crab 325-76 #> 637 5 Ophiura sarsii notched brittlestar 325-76 #> 638 5 Nudibranchia nudibranch unid. 325-76 #> count weight_kg cpue_kgkm2 cpue_nokm2 #> 516 438 417.490 18447.288758 19353.54733 #> 517 300 251.768 10546.830065 12567.31999 #> 518 NA 147.500 6778.731896 0.00000 #> 519 NA 137.070 6299.395126 0.00000 #> 520 220 114.970 5388.772492 10311.64607 #> 521 242 52.480 2198.443177 10137.63813 #> 522 NA 52.294 2403.301734 0.00000 #> 523 51 42.162 1937.660300 2343.83272 #> 524 48 41.520 1946.088840 2249.81369 #> 525 112 38.202 1755.668582 5147.24049 #> 526 19 37.129 1640.588719 839.53744 #> 527 64 35.440 1565.958259 2827.91559 #> 528 10 34.638 1591.876037 459.57504 #> 529 9 28.700 1345.201101 421.84007 #> 530 52 28.260 1324.577808 2437.29816 #> 531 10 26.350 1235.053972 468.71119 #> 532 11 23.507 984.733303 460.80173 #> 533 12 21.200 974.299093 551.49005 #> 534 1 21.130 885.158238 41.89107 #> 535 97 20.770 870.077454 4063.43346 #> 536 26 17.460 771.490722 1148.84071 #> 537 25 17.320 765.304657 1104.65453 #> 538 15 14.700 675.575314 689.36257 #> 539 10 13.102 548.856755 418.91067 #> 540 35 10.780 495.421897 1608.51265 #> 541 114 9.714 446.431198 5239.15550 #> 542 13 8.326 382.642181 597.44756 #> 543 25 8.210 384.811883 1171.77796 #> 544 6 7.160 329.055731 275.74503 #> 545 16 6.068 284.413947 749.93790 #> 546 1 5.980 274.825876 45.95750 #> 547 1 5.930 248.414025 41.89107 #> 548 NA 5.640 259.200325 0.00000 #> 549 2 5.630 248.768200 88.37236 #> 550 22 5.500 230.400867 921.60347 #> 551 18 4.740 217.838571 827.23508 #> 552 3 4.310 190.442441 132.55854 #> 553 4 4.240 187.349408 176.74472 #> 554 66 4.140 190.264068 3033.19529 #> 555 7 4.112 188.977258 321.70253 #> 556 9 3.600 165.447016 413.61754 #> 557 3 3.530 165.455048 140.61336 #> 558 22 3.464 162.361554 1031.16461 #> 559 1 3.120 143.387414 45.95750 #> 560 2 2.410 112.959396 93.74224 #> 561 2 1.820 80.418850 88.37236 #> 562 60 1.820 76.241741 2513.46400 #> 563 10 1.348 61.950716 459.57504 #> 564 NA 1.230 56.527730 0.00000 #> 565 2 1.170 53.770280 91.91501 #> 566 29 1.146 52.667300 1332.76763 #> 567 1 1.118 46.834213 41.89107 #> 568 25 1.082 50.714550 1171.77796 #> 569 1 0.930 43.590140 46.87112 #> 570 2 0.902 37.785742 83.78213 #> 571 7 0.814 37.409409 321.70253 #> 572 12 0.594 24.883294 502.69280 #> 573 6 0.566 26.529053 281.22671 #> 574 2 0.552 25.368542 91.91501 #> 575 1 0.550 24.302400 44.18618 #> 576 3 0.364 15.248348 125.67320 #> 577 1 0.360 15.080784 41.89107 #> 578 1 0.348 14.578091 41.89107 #> 579 NA 0.338 14.159181 0.00000 #> 580 3 0.336 14.075398 125.67320 #> 581 8 0.314 14.430656 367.66003 #> 582 2 0.296 13.873851 93.74224 #> 583 9 0.270 12.408526 413.61754 #> 584 2 0.264 12.373975 93.74224 #> 585 4 0.232 10.662141 183.83002 #> 586 1 0.226 10.386396 45.95750 #> 587 3 0.222 9.299817 125.67320 #> 588 1 0.184 7.707956 41.89107 #> 589 5 0.178 8.180436 229.78752 #> 590 3 0.170 7.968090 140.61336 #> 591 11 0.168 7.720861 505.53255 #> 592 3 0.168 7.720861 137.87251 #> 593 5 0.156 7.169371 229.78752 #> 594 1 0.146 6.116096 41.89107 #> 595 4 0.136 6.250221 183.83002 #> 596 NA 0.086 3.952345 0.00000 #> 597 NA 0.080 3.676600 0.00000 #> 598 1 0.078 3.267503 41.89107 #> 599 1 0.072 3.374721 46.87112 #> 600 1 0.066 3.093494 46.87112 #> 601 4 0.064 2.681028 167.56427 #> 602 1 0.062 2.597246 41.89107 #> 603 1 0.058 2.718525 46.87112 #> 604 1 0.058 2.665535 45.95750 #> 605 2 0.058 2.665535 91.91501 #> 606 1 0.054 2.262118 41.89107 #> 607 2 0.054 2.262118 83.78213 #> 608 1 0.048 2.249814 46.87112 #> 609 1 0.044 2.062329 46.87112 #> 610 NA 0.042 1.930215 0.00000 #> 611 2 0.038 1.746385 91.91501 #> 612 1 0.036 1.687360 46.87112 #> 613 1 0.036 1.508078 41.89107 #> 614 1 0.034 1.562555 45.95750 #> 615 1 0.030 1.325585 44.18618 #> 616 1 0.028 1.237213 44.18618 #> 617 1 0.028 1.237213 44.18618 #> 618 1 0.026 1.218649 46.87112 #> 619 2 0.026 1.218649 93.74224 #> 620 1 0.024 1.102980 45.95750 #> 621 1 0.022 1.031165 46.87112 #> 622 1 0.020 0.937422 46.87112 #> 623 1 0.020 0.937422 46.87112 #> 624 1 0.018 0.795351 44.18618 #> 625 1 0.018 0.827235 45.95750 #> 626 1 0.016 0.735320 45.95750 #> 627 NA 0.014 0.643405 0.00000 #> 628 1 0.010 0.468711 46.87112 #> 629 1 0.010 0.418911 41.89107 #> 630 2 0.010 0.459575 91.91501 #> 631 2 0.008 0.374969 93.74224 #> 632 1 0.008 0.335129 41.89107 #> 633 2 0.006 0.275745 91.91501 #> 634 1 0.002 0.088372 44.18618 #> 635 1 0.002 0.093742 46.87112 #> 636 1 0.002 0.091915 45.95750 #> 637 1 0.002 0.091915 45.95750 #> 638 1 0.002 0.091915 45.95750 #> #> $catch$`2010` #> haul scientific_name common_name station count #> 430 7 Gadus chalcogrammus walleye pollock 325-76 2081 #> 431 4 Pleurogrammus monopterygius Atka mackerel 326-76 1164 #> 432 3 Pleurogrammus monopterygius Atka mackerel 326-76 442 #> 433 3 Gadus chalcogrammus walleye pollock 326-76 355 #> 434 3 Gadus chalcogrammus walleye pollock 324-73 142 #> 435 5 Lepidopsetta polyxystra northern rock sole 320-73 342 #> 436 7 Gadus macrocephalus Pacific cod 325-76 45 #> 437 5 Lepidopsetta bilineata southern rock sole 320-73 175 #> 438 7 Lepidopsetta polyxystra northern rock sole 325-76 160 #> 439 7 Hippoglossus stenolepis Pacific halibut 325-76 71 #> 440 3 Gadus macrocephalus Pacific cod 326-76 44 #> 441 3 Atheresthes stomias arrowtooth flounder 326-76 97 #> 442 7 Hippoglossoides elassodon flathead sole 325-76 70 #> 443 7 Pleurogrammus monopterygius Atka mackerel 325-76 29 #> 444 5 Hippoglossus stenolepis Pacific halibut 320-73 56 #> 445 3 Atheresthes stomias arrowtooth flounder 324-73 195 #> 446 4 Gadus macrocephalus Pacific cod 326-76 14 #> 447 3 Hippoglossus stenolepis Pacific halibut 324-73 26 #> 448 4 Lepidopsetta polyxystra northern rock sole 326-76 76 #> 449 5 Gadus macrocephalus Pacific cod 320-73 22 #> 450 3 Lepidopsetta polyxystra northern rock sole 326-76 71 #> 451 3 Hippoglossoides elassodon flathead sole 324-73 173 #> 452 3 Chionoecetes bairdi Tanner crab 324-73 54 #> 453 3 Hemilepidotus jordani yellow Irish lord 326-76 45 #> 454 4 Hippoglossus stenolepis Pacific halibut 326-76 42 #> 455 7 Hemilepidotus jordani yellow Irish lord 325-76 31 #> 456 7 Lepidopsetta bilineata southern rock sole 325-76 33 #> 457 3 Hippoglossoides elassodon flathead sole 326-76 45 #> 458 7 Tedania kagalaskai club sponge 325-76 NA #> 459 3 Gadus macrocephalus Pacific cod 324-73 11 #> 460 4 Gadus chalcogrammus walleye pollock 326-76 17 #> 461 7 Atheresthes stomias arrowtooth flounder 325-76 21 #> 462 3 Glyptocephalus zachirus rex sole 324-73 39 #> 463 5 Atheresthes stomias arrowtooth flounder 320-73 7 #> 464 7 Mycale loveni lampshade sponge 325-76 NA #> 465 3 Hippoglossus stenolepis Pacific halibut 326-76 9 #> 466 4 Atheresthes stomias arrowtooth flounder 326-76 19 #> 467 4 Lepidopsetta bilineata southern rock sole 326-76 10 #> 468 4 Hippoglossoides elassodon flathead sole 326-76 8 #> 469 3 Enteroctopus dofleini giant octopus 324-73 1 #> 470 3 Hemilepidotus jordani yellow Irish lord 324-73 6 #> 471 3 Myoxocephalus polyacanthocephalus great sculpin 324-73 2 #> 472 4 Hemilepidotus jordani yellow Irish lord 326-76 5 #> 473 3 Arctoraja parmifera Alaska skate 324-73 1 #> 474 7 Hexagrammos decagrammus kelp greenling 325-76 5 #> 475 3 Gymnocanthus galeatus armorhead sculpin 324-73 13 #> 476 7 Monanchora pulchra yellow leafy sponge 325-76 NA #> 477 7 Porifera sponge unid. 325-76 NA #> 478 3 Lepidopsetta polyxystra northern rock sole 324-73 2 #> 479 3 Sebastes variabilis dusky rockfish 324-73 3 #> 480 7 Sebastes alutus Pacific ocean perch 325-76 9 #> 481 3 Porifera sponge unid. 324-73 NA #> 482 3 Atheresthes evermanni Kamchatka flounder 326-76 1 #> 483 4 Gymnocanthus galeatus armorhead sculpin 326-76 3 #> 484 3 Sebastes alutus Pacific ocean perch 324-73 8 #> 485 3 Atheresthes evermanni Kamchatka flounder 324-73 6 #> 486 3 Podothecus accipenserinus sturgeon poacher 324-73 7 #> 487 7 Gymnocanthus galeatus armorhead sculpin 325-76 2 #> 488 7 Isodictya palmata prickly pear sponge 325-76 NA #> 489 3 Fusitriton oregonensis Oregon triton 324-73 7 #> 490 3 Triglops forficatus scissortail sculpin 326-76 3 #> 491 4 Mycale loveni lampshade sponge 326-76 NA #> 492 7 Fusitriton oregonensis Oregon triton 325-76 4 #> 493 3 Halocynthia aurantium sea peach 326-76 1 #> 494 4 Strongylocentrotus droebachiensis green sea urchin 326-76 11 #> 495 3 Pagurus brandti sponge hermit 324-73 8 #> 496 3 Hemitripterus bolini bigmouth sculpin 326-76 1 #> 497 3 Mycale loveni lampshade sponge 324-73 NA #> 498 3 Lepidopsetta bilineata southern rock sole 326-76 1 #> 499 3 Pagurus aleuticus Aleutian hermit 324-73 2 #> 500 4 Fusitriton oregonensis Oregon triton 326-76 3 #> 501 3 Strongylocentrotus droebachiensis green sea urchin 326-76 1 #> 502 3 Sebastes polyspinis northern rockfish 324-73 1 #> 503 4 Actiniaria sea anemone unid. 326-76 2 #> 504 3 Porifera sponge unid. 326-76 NA #> 505 4 Elassochirus tenuimanus widehand hermit crab 326-76 2 #> 506 3 Diplopteraster multipes pincushion sea star 326-76 1 #> 507 4 Pododesmus macrochisma abalone jingle 326-76 1 #> 508 3 Ceramaster patagonicus orange bat sea star 326-76 1 #> 509 3 Metridium farcimen gigantic anemone 326-76 1 #> 510 3 Chirona evermanni giant barnacle 324-73 NA #> 511 4 Pagurus ochotensis Alaskan hermit 326-76 1 #> 512 3 Hyas lyratus Pacific lyre crab 324-73 1 #> 513 5 Pagurus brandti sponge hermit 320-73 1 #> 514 5 Notostomum cyclostomum striped sea leech 320-73 1 #> 515 3 Crangon dalli ridged Crangon 324-73 1 #> weight_kg cpue_kgkm2 cpue_nokm2 #> 430 2536.790 1.088185e+05 89266.85531 #> 431 2038.610 8.903763e+04 50838.46562 #> 432 651.820 2.843245e+04 19280.08511 #> 433 390.730 1.704368e+04 15485.13623 #> 434 223.770 9.541060e+03 6054.56700 #> 435 206.376 9.082907e+03 15051.91591 #> 436 148.840 6.384661e+03 1930.32604 #> 437 102.930 4.530099e+03 7702.00375 #> 438 76.840 3.296139e+03 6863.38148 #> 439 70.647 3.030483e+03 3045.62553 #> 440 69.570 3.034651e+03 1919.28449 #> 441 56.720 2.474132e+03 4231.14990 #> 442 48.200 2.067594e+03 3002.72939 #> 443 45.360 1.945769e+03 1243.98789 #> 444 45.138 1.986589e+03 2464.64120 #> 445 44.886 1.913840e+03 8314.37017 #> 446 44.050 1.923913e+03 611.45921 #> 447 43.582 1.858240e+03 1108.58269 #> 448 42.580 1.859710e+03 3319.34999 #> 449 40.480 1.781583e+03 968.25190 #> 450 32.540 1.419398e+03 3097.02725 #> 451 31.884 1.359463e+03 7376.33867 #> 452 31.000 1.321772e+03 2302.44097 #> 453 30.980 1.351351e+03 1962.90459 #> 454 28.413 1.240956e+03 1834.37763 #> 455 27.840 1.194228e+03 1329.78016 #> 456 26.020 1.116157e+03 1415.57243 #> 457 25.640 1.118419e+03 1962.90459 #> 458 21.580 9.256986e+02 0.00000 #> 459 21.150 9.017894e+02 469.01575 #> 460 20.290 8.861791e+02 742.48618 #> 461 12.960 5.559339e+02 900.81882 #> 462 12.690 5.410736e+02 1662.87404 #> 463 12.440 5.475024e+02 308.08015 #> 464 12.080 5.181853e+02 0.00000 #> 465 11.320 4.937796e+02 392.58092 #> 466 10.420 4.551004e+02 829.83750 #> 467 8.040 3.511523e+02 436.75658 #> 468 6.260 2.734096e+02 349.40526 #> 469 4.060 1.731095e+02 42.63780 #> 470 3.952 1.685046e+02 255.82677 #> 471 3.930 1.675665e+02 85.27559 #> 472 3.920 1.712086e+02 218.37829 #> 473 3.560 1.517906e+02 42.63780 #> 474 3.400 1.458469e+02 214.48067 #> 475 3.324 1.417280e+02 554.29134 #> 476 3.000 1.286884e+02 0.00000 #> 477 2.988 1.281736e+02 0.00000 #> 478 1.250 5.329724e+01 85.27559 #> 479 0.974 4.152921e+01 127.91339 #> 480 0.936 4.015078e+01 386.06521 #> 481 0.758 3.231945e+01 0.00000 #> 482 0.722 3.149371e+01 43.62010 #> 483 0.700 3.057296e+01 131.02697 #> 484 0.678 2.890843e+01 341.10237 #> 485 0.642 2.737346e+01 255.82677 #> 486 0.550 2.345079e+01 298.46457 #> 487 0.484 2.076173e+01 85.79227 #> 488 0.364 1.561419e+01 0.00000 #> 489 0.306 1.304717e+01 298.46457 #> 490 0.260 1.134123e+01 130.86031 #> 491 0.258 1.126832e+01 0.00000 #> 492 0.254 1.089562e+01 171.58454 #> 493 0.216 9.421942e+00 43.62010 #> 494 0.206 8.997185e+00 480.43223 #> 495 0.168 7.163150e+00 341.10237 #> 496 0.168 7.328177e+00 43.62010 #> 497 0.150 6.395669e+00 0.00000 #> 498 0.150 6.543015e+00 43.62010 #> 499 0.134 5.713465e+00 85.27559 #> 500 0.116 5.066376e+00 131.02697 #> 501 0.110 4.798211e+00 43.62010 #> 502 0.106 4.519606e+00 42.63780 #> 503 0.088 3.843458e+00 87.35132 #> 504 0.070 3.053407e+00 0.00000 #> 505 0.066 2.882593e+00 87.35132 #> 506 0.062 2.704446e+00 43.62010 #> 507 0.036 1.572324e+00 43.67566 #> 508 0.026 1.134123e+00 43.62010 #> 509 0.022 9.596420e-01 43.62010 #> 510 0.020 8.527560e-01 0.00000 #> 511 0.016 6.988110e-01 43.67566 #> 512 0.010 4.263780e-01 42.63780 #> 513 0.008 3.520920e-01 44.01145 #> 514 0.004 1.760460e-01 44.01145 #> 515 0.002 8.527600e-02 42.63780 #> #> $catch$`2012` #> haul scientific_name common_name station count #> 325 6 Lepidopsetta bilineata southern rock sole 321-74 310 #> 326 6 Gadus chalcogrammus walleye pollock 321-74 60 #> 327 4 Gadus chalcogrammus walleye pollock 326-76 76 #> 328 6 Hippoglossus stenolepis Pacific halibut 321-74 80 #> 329 7 Lepidopsetta polyxystra northern rock sole 320-73 82 #> 330 6 Lepidopsetta polyxystra northern rock sole 321-74 51 #> 331 1 Gadus macrocephalus Pacific cod 326-76 17 #> 332 7 Lepidopsetta bilineata southern rock sole 320-73 49 #> 333 6 Gadus macrocephalus Pacific cod 321-74 16 #> 334 1 Hippoglossus stenolepis Pacific halibut 320-74 25 #> 335 7 Hippoglossus stenolepis Pacific halibut 320-74 15 #> 336 4 Lepidopsetta polyxystra northern rock sole 326-76 29 #> 337 6 Atheresthes stomias arrowtooth flounder 321-74 15 #> 338 7 Hippoglossus stenolepis Pacific halibut 320-73 18 #> 339 1 Lepidopsetta polyxystra northern rock sole 326-76 26 #> 340 1 Lepidopsetta polyxystra northern rock sole 320-74 17 #> 341 1 Hemilepidotus jordani yellow Irish lord 326-76 18 #> 342 1 Atheresthes stomias arrowtooth flounder 326-76 15 #> 343 4 Hippoglossus stenolepis Pacific halibut 326-76 11 #> 344 1 Gadus macrocephalus Pacific cod 320-74 6 #> 345 4 Atheresthes stomias arrowtooth flounder 326-76 15 #> 346 7 Atheresthes stomias arrowtooth flounder 320-74 8 #> 347 1 Atheresthes stomias arrowtooth flounder 320-74 20 #> 348 7 Atheresthes stomias arrowtooth flounder 320-73 7 #> 349 4 Gadus macrocephalus Pacific cod 326-76 4 #> 350 6 Hippoglossoides elassodon flathead sole 321-74 7 #> 351 7 Glyptocephalus zachirus rex sole 320-74 6 #> 352 4 Hippoglossoides elassodon flathead sole 326-76 8 #> 353 1 Gadus chalcogrammus walleye pollock 320-74 2 #> 354 7 Gadus macrocephalus Pacific cod 320-73 4 #> 355 1 Lepidopsetta bilineata southern rock sole 320-74 4 #> 356 7 Pleurogrammus monopterygius Atka mackerel 320-73 2 #> 357 7 Hemilepidotus jordani yellow Irish lord 320-74 3 #> 358 4 Pleurogrammus monopterygius Atka mackerel 326-76 2 #> 359 1 Fusitriton oregonensis Oregon triton 326-76 47 #> 360 7 Gadus chalcogrammus walleye pollock 320-74 2 #> 361 1 Glyptocephalus zachirus rex sole 320-74 4 #> 362 1 Pleurogrammus monopterygius Atka mackerel 326-76 2 #> 363 7 Lepidopsetta polyxystra northern rock sole 320-74 2 #> 364 1 Gadus chalcogrammus walleye pollock 326-76 1 #> 365 1 Porifera sponge unid. 326-76 NA #> 366 7 Gadus macrocephalus Pacific cod 320-74 1 #> 367 4 Hemilepidotus jordani yellow Irish lord 326-76 2 #> 368 6 Berryteuthis magister magistrate armhook squid 321-74 5 #> 369 1 Hippoglossus stenolepis Pacific halibut 326-76 2 #> 370 7 Hemilepidotus jordani yellow Irish lord 320-73 1 #> 371 1 Hemilepidotus jordani yellow Irish lord 320-74 2 #> 372 1 Halocynthia aurantium sea peach 326-76 8 #> 373 6 Hemilepidotus jordani yellow Irish lord 321-74 1 #> 374 7 Hippoglossoides elassodon flathead sole 320-74 2 #> 375 1 Hippoglossoides elassodon flathead sole 326-76 2 #> 376 7 Berryteuthis magister magistrate armhook squid 320-74 3 #> 377 4 Lepidopsetta bilineata southern rock sole 326-76 1 #> 378 7 Atheresthes evermanni Kamchatka flounder 320-73 2 #> 379 1 Berryteuthis magister magistrate armhook squid 326-76 2 #> 380 7 Hemilepidotus hemilepidotus red Irish lord 320-73 1 #> 381 1 Hippoglossoides elassodon flathead sole 320-74 1 #> 382 4 Gymnocanthus galeatus armorhead sculpin 326-76 1 #> 383 1 Berryteuthis magister magistrate armhook squid 320-74 1 #> 384 4 Berryteuthis magister magistrate armhook squid 326-76 1 #> 385 1 Atheresthes evermanni Kamchatka flounder 326-76 1 #> 386 7 Halocynthia aurantium sea peach 320-73 1 #> 387 4 Gorgonocephalus eucnemis basketstar 326-76 1 #> 388 4 Triglops forficatus scissortail sculpin 326-76 3 #> 389 4 Atheresthes evermanni Kamchatka flounder 326-76 2 #> 390 1 Modiolus modiolus northern horsemussel 326-76 4 #> 391 1 Ascidiacea tunicate unid. 326-76 13 #> 392 1 Bathymaster signatus searcher 326-76 1 #> 393 1 Actiniaria sea anemone unid. 326-76 2 #> 394 6 Gorgonocephalus eucnemis basketstar 321-74 1 #> 395 1 Elassochirus cavimanus purple hermit 326-76 3 #> 396 7 Gorgonocephalus eucnemis basketstar 320-74 1 #> 397 1 Sebastes alutus Pacific ocean perch 326-76 2 #> 398 1 Bryozoa bryozoan unid. 326-76 NA #> 399 4 Thaliacea salp unid. 326-76 1 #> 400 1 Pteraster militaris wrinkled star 326-76 3 #> 401 7 Triglops scepticus spectacled sculpin 320-74 2 #> 402 1 Pagurus ochotensis Alaskan hermit 326-76 3 #> 403 1 Pagurus confragosus knobbyhand hermit 326-76 1 #> 404 1 Actiniaria sea anemone unid. 320-74 1 #> 405 1 Triglops forficatus scissortail sculpin 326-76 1 #> 406 1 Sarritor frenatus sawback poacher 326-76 1 #> 407 1 Pododesmus macrochisma abalone jingle 326-76 1 #> 408 4 Fusitriton oregonensis Oregon triton 326-76 2 #> 409 1 Triglops scepticus spectacled sculpin 326-76 1 #> 410 6 Fusitriton oregonensis Oregon triton 321-74 1 #> 411 1 Lethasterias nanimensis blackspined sea star 326-76 1 #> 412 6 Cheiraster dawsoni fragile sea star 321-74 1 #> 413 1 Hyas lyratus Pacific lyre crab 326-76 3 #> 414 7 Gadus chalcogrammus walleye pollock 320-73 1 #> 415 7 Porifera sponge unid. 320-73 NA #> 416 1 Pagurus aleuticus Aleutian hermit 326-76 1 #> 417 1 Tritonia tetraquetra rosy Tritonia 326-76 1 #> 418 1 Fusitriton oregonensis Oregon triton 320-74 1 #> 419 6 Pagurus aleuticus Aleutian hermit 321-74 1 #> 420 1 Laqueus erythraeus California lamp shell 326-76 1 #> 421 1 Cheiraster dawsoni fragile sea star 326-76 1 #> 422 1 Buccinum scalariforme ladder whelk 326-76 1 #> 423 1 Eumicrotremus sp. spiny lumpsuckers 326-76 2 #> 424 7 Fusitriton oregonensis Oregon triton 320-74 1 #> 425 1 Ophiura sarsii notched brittlestar 320-74 1 #> 426 1 Porifera sponge unid. 320-74 NA #> 427 7 Bulbus fragilis fragile moonsnail 320-73 1 #> 428 1 Ophiuroidea brittlestar unid. 326-76 1 #> 429 1 Isopoda isopod unid. 326-76 1 #> weight_kg cpue_kgkm2 cpue_nokm2 #> 325 266.120 11732.310055 13666.82744 #> 326 99.810 4400.277569 2645.19241 #> 327 68.020 3199.438570 3574.79170 #> 328 57.449 2532.727643 3526.92321 #> 329 47.540 2076.651323 3581.93960 #> 330 34.780 1533.329865 2248.41355 #> 331 29.110 1295.747314 756.70575 #> 332 28.570 1248.000175 2140.42732 #> 333 20.500 903.774072 705.38464 #> 334 20.490 947.837132 1156.46307 #> 335 17.956 795.845365 664.82961 #> 336 12.690 596.896140 1364.06525 #> 337 11.450 504.790884 661.29810 #> 338 11.422 498.937977 786.27942 #> 339 10.610 472.273411 1157.31467 #> 340 9.930 459.347131 786.39489 #> 341 9.560 425.535703 801.21785 #> 342 9.300 413.962556 667.68154 #> 343 8.163 383.960850 517.40406 #> 344 7.590 351.102188 277.55114 #> 345 6.380 300.094356 705.55099 #> 346 6.040 267.704723 354.57579 #> 347 4.780 221.115739 925.17046 #> 348 4.700 205.306294 305.77533 #> 349 4.620 217.309706 188.14693 #> 350 4.430 195.303373 308.60578 #> 351 3.900 172.855698 265.93184 #> 352 3.670 172.624810 376.29386 #> 353 3.460 160.054489 92.51705 #> 354 3.450 150.703556 174.72876 #> 355 3.250 150.340199 185.03409 #> 356 2.930 127.988817 87.36438 #> 357 2.496 110.627647 132.96592 #> 358 2.210 103.951180 94.07347 #> 359 2.005 89.246766 2092.06883 #> 360 1.946 86.250561 88.64395 #> 361 1.772 81.970102 185.03409 #> 362 1.710 76.115696 89.02421 #> 363 1.608 71.269734 88.64395 #> 364 1.540 68.548638 44.51210 #> 365 1.465 65.210231 0.00000 #> 366 1.450 64.266862 44.32197 #> 367 1.400 65.851426 94.07347 #> 368 1.372 60.486733 220.43270 #> 369 1.107 49.274898 89.02421 #> 370 0.962 42.022267 43.68219 #> 371 0.926 42.835392 92.51705 #> 372 0.776 34.541392 356.09682 #> 373 0.774 34.122982 44.08654 #> 374 0.745 33.019871 88.64395 #> 375 0.640 28.487746 89.02421 #> 376 0.604 26.770472 132.96592 #> 377 0.604 28.410187 47.03673 #> 378 0.515 22.496328 87.36438 #> 379 0.495 22.033491 89.02421 #> 380 0.390 17.036054 43.68219 #> 381 0.328 15.172795 46.25852 #> 382 0.312 14.675461 47.03673 #> 383 0.274 12.674835 46.25852 #> 384 0.262 12.323624 47.03673 #> 385 0.234 10.415832 44.51210 #> 386 0.222 9.697446 43.68219 #> 387 0.210 9.877714 47.03673 #> 388 0.196 9.219200 141.11020 #> 389 0.180 8.466612 94.07347 #> 390 0.180 8.012179 178.04841 #> 391 0.140 6.231694 578.65734 #> 392 0.132 5.875598 44.51210 #> 393 0.120 5.341452 89.02421 #> 394 0.110 4.849519 44.08654 #> 395 0.100 4.451210 133.53631 #> 396 0.078 3.457114 44.32197 #> 397 0.074 3.293896 89.02421 #> 398 0.070 3.115847 0.00000 #> 399 0.070 3.292571 47.03673 #> 400 0.060 2.670726 133.53631 #> 401 0.056 2.482031 88.64395 #> 402 0.055 2.448166 133.53631 #> 403 0.055 2.448166 44.51210 #> 404 0.054 2.497960 46.25852 #> 405 0.052 2.314629 44.51210 #> 406 0.048 2.136581 44.51210 #> 407 0.042 1.869508 44.51210 #> 408 0.040 1.881469 94.07347 #> 409 0.032 1.424387 44.51210 #> 410 0.030 1.322596 44.08654 #> 411 0.030 1.335363 44.51210 #> 412 0.028 1.234423 44.08654 #> 413 0.025 1.112803 133.53631 #> 414 0.024 1.048373 43.68219 #> 415 0.020 0.873644 0.00000 #> 416 0.015 0.667682 44.51210 #> 417 0.015 0.667682 44.51210 #> 418 0.012 0.555102 46.25852 #> 419 0.012 0.529038 44.08654 #> 420 0.010 0.445121 44.51210 #> 421 0.010 0.445121 44.51210 #> 422 0.010 0.445121 44.51210 #> 423 0.010 0.445121 89.02421 #> 424 0.008 0.354576 44.32197 #> 425 0.008 0.370068 46.25852 #> 426 0.008 0.370068 0.00000 #> 427 0.005 0.218411 43.68219 #> 428 0.005 0.222561 44.51210 #> 429 0.005 0.222561 44.51210 #> #> $catch$`2014` #> haul scientific_name common_name station count #> 208 3 Pleurogrammus monopterygius Atka mackerel 320-74 142 #> 209 3 Atheresthes stomias arrowtooth flounder 320-74 129 #> 210 6 Lepidopsetta polyxystra northern rock sole 320-74 298 #> 211 3 Lepidopsetta polyxystra northern rock sole 320-74 172 #> 212 1 Hippoglossoides elassodon flathead sole 321-74 129 #> 213 5 Gadus macrocephalus Pacific cod 326-76 74 #> 214 1 Lepidopsetta bilineata southern rock sole 321-74 66 #> 215 1 Gadus macrocephalus Pacific cod 321-74 16 #> 216 6 Gadus macrocephalus Pacific cod 320-74 11 #> 217 6 Lepidopsetta bilineata southern rock sole 320-74 34 #> 218 3 Gadus macrocephalus Pacific cod 320-74 39 #> 219 3 Hippoglossus stenolepis Pacific halibut 320-74 11 #> 220 3 Enteroctopus dofleini giant octopus 320-74 3 #> 221 3 Gadus chalcogrammus walleye pollock 320-74 15 #> 222 3 Sebastes variabilis dusky rockfish 320-74 22 #> 223 1 Atheresthes stomias arrowtooth flounder 321-74 99 #> 224 3 Hemilepidotus jordani yellow Irish lord 320-74 18 #> 225 5 Atheresthes stomias arrowtooth flounder 326-76 35 #> 226 5 Lepidopsetta polyxystra northern rock sole 326-76 37 #> 227 6 Hippoglossus stenolepis Pacific halibut 320-74 11 #> 228 5 Hemilepidotus jordani yellow Irish lord 326-76 20 #> 229 3 Sebastes polyspinis northern rockfish 320-74 17 #> 230 5 Hippoglossus stenolepis Pacific halibut 326-76 7 #> 231 1 Enteroctopus dofleini giant octopus 321-74 1 #> 232 1 Metridium farcimen gigantic anemone 321-74 39 #> 233 3 Atheresthes evermanni Kamchatka flounder 320-74 10 #> 234 3 Hippoglossoides elassodon flathead sole 320-74 10 #> 235 3 Glyptocephalus zachirus rex sole 320-74 7 #> 236 1 Hippoglossus stenolepis Pacific halibut 321-74 4 #> 237 6 Anarrhichthys ocellatus wolf-eel 320-74 1 #> 238 1 Gadus chalcogrammus walleye pollock 321-74 2 #> 239 3 Sebastes alutus Pacific ocean perch 320-74 8 #> 240 1 Porifera sponge unid. 321-74 NA #> 241 3 Lepidopsetta bilineata southern rock sole 320-74 3 #> 242 3 Chirona evermanni giant barnacle 320-74 NA #> 243 5 Hippoglossoides elassodon flathead sole 326-76 3 #> 244 1 Lepidopsetta polyxystra northern rock sole 321-74 4 #> 245 3 Bathyraja taranetzi mud skate 320-74 1 #> 246 5 Pleurogrammus monopterygius Atka mackerel 326-76 2 #> 247 5 Hemitripterus bolini bigmouth sculpin 326-76 2 #> 248 1 Fusitriton oregonensis Oregon triton 321-74 23 #> 249 5 Triglops forficatus scissortail sculpin 326-76 12 #> 250 6 Atheresthes stomias arrowtooth flounder 320-74 9 #> 251 6 Aptocyclus ventricosus smooth lumpsucker 320-74 1 #> 252 3 Fusitriton oregonensis Oregon triton 320-74 33 #> 253 6 Hemilepidotus jordani yellow Irish lord 320-74 1 #> 254 5 Lepidopsetta bilineata southern rock sole 326-76 1 #> 255 5 Atheresthes evermanni Kamchatka flounder 326-76 2 #> 256 3 Sebastes melanostictus blackspotted rockfish 320-74 1 #> 257 3 Malacocottus zonurus darkfin sculpin 320-74 1 #> 258 5 Porifera sponge unid. 326-76 NA #> 259 6 Hippoglossoides elassodon flathead sole 320-74 1 #> 260 1 Pleurogrammus monopterygius Atka mackerel 321-74 1 #> 261 1 Thaliacea salp unid. 321-74 NA #> 262 3 Holothuroidea sea cucumber unid. 320-74 11 #> 263 3 Pagurus brandti sponge hermit 320-74 17 #> 264 3 Porifera sponge unid. 320-74 NA #> 265 5 Gadus chalcogrammus walleye pollock 326-76 2 #> 266 1 Serpulidae serpulid worm 321-74 NA #> 267 5 Modiolus modiolus northern horsemussel 326-76 1 #> 268 3 Lethasterias nanimensis blackspined sea star 320-74 1 #> 269 3 Elassochirus cavimanus purple hermit 320-74 10 #> 270 5 Sebastes alutus Pacific ocean perch 326-76 2 #> 271 3 Actiniaria sea anemone unid. 320-74 2 #> 272 3 Scyphozoa jellyfish unid. 320-74 NA #> 273 3 Sebastes ciliatus dark rockfish 320-74 1 #> 274 6 Crystallichthys cyclospilus blotched snailfish 320-74 1 #> 275 3 Pagurus cornutus hornyhand hermit 320-74 5 #> 276 3 Solaster dawsoni morning sun sea star 320-74 1 #> 277 6 Ophiura sarsii notched brittlestar 320-74 16 #> 278 1 Atheresthes evermanni Kamchatka flounder 321-74 4 #> 279 3 Ophiura sarsii notched brittlestar 320-74 16 #> 280 3 Pagurus confragosus knobbyhand hermit 320-74 7 #> 281 6 Fusitriton oregonensis Oregon triton 320-74 6 #> 282 6 Gymnocanthus galeatus armorhead sculpin 320-74 2 #> 283 3 Pyrulofusus harpa left-hand whelk 320-74 2 #> 284 3 Hyas lyratus Pacific lyre crab 320-74 7 #> 285 3 Triglops scepticus spectacled sculpin 320-74 4 #> 286 1 Ophiura sarsii notched brittlestar 321-74 25 #> 287 6 Porifera sponge unid. 320-74 NA #> 288 3 Ascidiacea tunicate unid. 320-74 NA #> 289 5 Crystallichthys cyclospilus blotched snailfish 326-76 1 #> 290 5 Fusitriton oregonensis Oregon triton 326-76 1 #> 291 1 Podothecus accipenserinus sturgeon poacher 321-74 1 #> 292 5 Ceramaster japonicus red bat star 326-76 1 #> 293 5 Hyas lyratus Pacific lyre crab 326-76 1 #> 294 3 Diplopteraster multipes pincushion sea star 320-74 1 #> 295 1 Elassochirus cavimanus purple hermit 321-74 1 #> 296 6 Actiniaria sea anemone unid. 320-74 3 #> 297 3 Metridium farcimen gigantic anemone 320-74 1 #> 298 5 Elassochirus cavimanus purple hermit 326-76 1 #> 299 1 Hyas lyratus Pacific lyre crab 321-74 1 #> 300 5 Nudibranchia nudibranch unid. 326-76 1 #> 301 5 Pseudarchaster parelii scarlet sea star 326-76 1 #> 302 6 Elassochirus tenuimanus widehand hermit crab 320-74 2 #> 303 5 Pododesmus macrochisma abalone jingle 326-76 1 #> 304 1 Pagurus brandti sponge hermit 321-74 2 #> 305 3 Cheiraster dawsoni fragile sea star 320-74 2 #> 306 3 Castaneobuccinum castaneum chestnut whelk 320-74 1 #> 307 5 Aptocyclus ventricosus smooth lumpsucker 326-76 3 #> 308 1 Modiolus modiolus northern horsemussel 321-74 1 #> 309 6 Ceramaster arcticus Arctic bat sea star 320-74 1 #> 310 6 Mycale loveni lampshade sponge 320-74 NA #> 311 6 Hyas lyratus Pacific lyre crab 320-74 1 #> 312 5 Pedicellaster magister majestic sea star 326-76 1 #> 313 3 Keenocardium blandum low-rib cockle 320-74 1 #> 314 3 Labidochirus splendescens splendid hermit 320-74 1 #> 315 1 Periphylla periphylla helmet jelly 321-74 1 #> 316 3 Styela rustica sea potato 320-74 1 #> 317 1 Rhamphocottus richardsonii grunt sculpin 321-74 1 #> 318 3 Ophiuroidea brittlestar unid. 320-74 1 #> 319 6 Bryozoa bryozoan unid. 320-74 NA #> 320 3 Eunoe nodosa giant scale worm 320-74 1 #> 321 3 Paguridae hermit crab unid. 320-74 3 #> 322 3 Polychaeta polychaete worm unid. 320-74 1 #> 323 1 Chaetopterus sp. parchment tubeworms 321-74 NA #> 324 5 Hydroidolina hydroid unid. 326-76 NA #> weight_kg cpue_kgkm2 cpue_nokm2 #> 208 214.240 8637.949677 5725.30272 #> 209 129.014 5201.719752 5201.15528 #> 210 126.552 5725.758380 13482.80546 #> 211 110.220 4443.963842 6934.87371 #> 212 97.520 4081.346355 5398.82773 #> 213 67.910 3286.122879 3580.81421 #> 214 62.090 2598.552043 2762.19093 #> 215 38.570 1614.207639 669.62204 #> 216 36.530 1652.774777 497.68745 #> 217 32.038 1449.537320 1538.30666 #> 218 28.920 1166.026441 1572.44230 #> 219 28.484 1148.447342 443.50937 #> 220 26.480 1067.648000 120.95710 #> 221 19.220 774.931818 604.78550 #> 222 17.860 720.097933 887.01873 #> 223 15.930 666.692447 4143.28640 #> 224 13.590 547.935661 725.74260 #> 225 13.480 652.288859 1693.62834 #> 226 11.940 577.769212 1790.40711 #> 227 11.383 515.016022 497.68745 #> 228 11.180 540.993282 967.78762 #> 229 11.150 449.557220 685.42357 #> 230 10.763 520.814910 338.72567 #> 231 10.250 428.976622 41.85138 #> 232 9.998 418.430074 1632.20373 #> 233 6.080 245.139722 403.19033 #> 234 5.780 233.044012 403.19033 #> 235 5.670 228.608918 282.23323 #> 236 5.228 218.799003 167.40551 #> 237 4.480 202.694525 45.24431 #> 238 4.020 168.242538 83.70275 #> 239 3.680 148.374042 322.55227 #> 240 3.276 137.105113 0.00000 #> 241 2.790 112.490103 120.95710 #> 242 2.434 98.136527 0.00000 #> 243 2.260 109.360002 145.16814 #> 244 2.008 84.037566 167.40551 #> 245 1.722 69.429375 40.31903 #> 246 1.680 81.294160 96.77876 #> 247 1.620 78.390798 96.77876 #> 248 1.338 55.997143 962.58169 #> 249 1.288 62.325523 580.67258 #> 250 1.216 55.017085 407.19882 #> 251 1.110 50.221188 45.24431 #> 252 1.044 42.093071 1330.52810 #> 253 0.992 44.882359 45.24431 #> 254 0.920 44.518231 48.38938 #> 255 0.840 40.647080 96.77876 #> 256 0.770 31.045656 40.31903 #> 257 0.732 29.513532 40.31903 #> 258 0.632 30.582089 0.00000 #> 259 0.618 27.960986 45.24431 #> 260 0.580 24.273799 41.85138 #> 261 0.564 23.604177 0.00000 #> 262 0.440 17.740375 443.50937 #> 263 0.364 14.676128 685.42357 #> 264 0.346 13.950385 0.00000 #> 265 0.304 14.710372 96.77876 #> 266 0.294 12.304305 0.00000 #> 267 0.284 13.742584 48.38938 #> 268 0.274 11.047415 40.31903 #> 269 0.240 9.676568 403.19033 #> 270 0.236 11.419894 96.77876 #> 271 0.226 9.112102 80.63807 #> 272 0.200 8.063807 0.00000 #> 273 0.198 7.983169 40.31903 #> 274 0.178 8.053488 45.24431 #> 275 0.156 6.289769 201.59517 #> 276 0.136 5.483389 40.31903 #> 277 0.132 5.972249 723.90902 #> 278 0.126 5.273274 167.40551 #> 279 0.114 4.596370 645.10453 #> 280 0.110 4.435094 282.23323 #> 281 0.108 4.886386 271.46588 #> 282 0.104 4.705409 90.48863 #> 283 0.104 4.193179 80.63807 #> 284 0.100 4.031903 282.23323 #> 285 0.098 3.951265 161.27613 #> 286 0.098 4.101435 1046.28444 #> 287 0.094 4.252965 0.00000 #> 288 0.084 3.386799 0.00000 #> 289 0.084 4.064708 48.38938 #> 290 0.078 3.774372 48.38938 #> 291 0.076 3.180705 41.85138 #> 292 0.060 2.903363 48.38938 #> 293 0.058 2.806584 48.38938 #> 294 0.054 2.177228 40.31903 #> 295 0.050 2.092569 41.85138 #> 296 0.048 2.171727 135.73294 #> 297 0.044 1.774037 40.31903 #> 298 0.042 2.032354 48.38938 #> 299 0.036 1.506650 41.85138 #> 300 0.036 1.742018 48.38938 #> 301 0.034 1.645239 48.38938 #> 302 0.032 1.447818 90.48863 #> 303 0.032 1.548460 48.38938 #> 304 0.030 1.255541 83.70275 #> 305 0.022 0.887019 80.63807 #> 306 0.018 0.725743 40.31903 #> 307 0.018 0.871009 145.16814 #> 308 0.016 0.669622 41.85138 #> 309 0.014 0.633420 45.24431 #> 310 0.012 0.542932 0.00000 #> 311 0.010 0.452443 45.24431 #> 312 0.010 0.483894 48.38938 #> 313 0.008 0.322552 40.31903 #> 314 0.006 0.241914 40.31903 #> 315 0.006 0.251108 41.85138 #> 316 0.004 0.161276 40.31903 #> 317 0.004 0.167406 41.85138 #> 318 0.002 0.080638 40.31903 #> 319 0.002 0.090489 0.00000 #> 320 0.002 0.080638 40.31903 #> 321 0.002 0.080638 120.95710 #> 322 0.002 0.080638 40.31903 #> 323 0.002 0.083703 0.00000 #> 324 0.002 0.096779 0.00000 #> #> $catch$`2016` #> haul scientific_name common_name station count #> 130 3 Gadus macrocephalus Pacific cod 320-73 243 #> 131 7 Atheresthes stomias arrowtooth flounder 320-74 291 #> 132 3 Hippoglossus stenolepis Pacific halibut 320-73 133 #> 133 5 Hippoglossoides elassodon flathead sole 320-74 78 #> 134 5 Lepidopsetta bilineata southern rock sole 320-74 69 #> 135 3 Lepidopsetta bilineata southern rock sole 320-73 90 #> 136 3 Lepidopsetta polyxystra northern rock sole 320-73 103 #> 137 5 Hippoglossus stenolepis Pacific halibut 320-74 31 #> 138 4 Hippoglossoides elassodon flathead sole 324-73 133 #> 139 7 Gadus macrocephalus Pacific cod 320-74 10 #> 140 4 Atheresthes stomias arrowtooth flounder 324-73 54 #> 141 7 Lepidopsetta polyxystra northern rock sole 320-74 41 #> 142 3 Atheresthes stomias arrowtooth flounder 320-73 27 #> 143 7 Hippoglossus stenolepis Pacific halibut 320-74 12 #> 144 4 Hippoglossus stenolepis Pacific halibut 324-73 11 #> 145 7 Enteroctopus dofleini giant octopus 320-74 2 #> 146 5 Lepidopsetta polyxystra northern rock sole 320-74 26 #> 147 4 Anoplopoma fimbria sablefish 324-73 11 #> 148 4 Gadus chalcogrammus walleye pollock 324-73 10 #> 149 4 Lepidopsetta bilineata southern rock sole 324-73 6 #> 150 5 Atheresthes stomias arrowtooth flounder 320-74 8 #> 151 4 Parophrys vetulus English sole 324-73 6 #> 152 4 Glyptocephalus zachirus rex sole 324-73 29 #> 153 5 Gadus macrocephalus Pacific cod 320-74 4 #> 154 3 Anarrhichthys ocellatus wolf-eel 320-73 1 #> 155 4 Enteroctopus dofleini giant octopus 324-73 1 #> 156 4 Myoxocephalus polyacanthocephalus great sculpin 324-73 1 #> 157 3 Clupea pallasii Pacific herring 320-73 10 #> 158 7 Hemilepidotus jordani yellow Irish lord 320-74 6 #> 159 3 Pleurogrammus monopterygius Atka mackerel 320-73 5 #> 160 7 Glyptocephalus zachirus rex sole 320-74 7 #> 161 5 Hemilepidotus jordani yellow Irish lord 320-74 2 #> 162 7 Lepidopsetta bilineata southern rock sole 320-74 2 #> 163 4 Gadus macrocephalus Pacific cod 324-73 2 #> 164 7 Atheresthes evermanni Kamchatka flounder 320-74 8 #> 165 7 Chirona evermanni giant barnacle 320-74 NA #> 166 3 Hemilepidotus jordani yellow Irish lord 320-73 1 #> 167 5 Pycnopodia helianthoides sunflower sea star 320-74 1 #> 168 4 Gorgonocephalus eucnemis basketstar 324-73 4 #> 169 4 Thaliacea salp unid. 324-73 NA #> 170 3 Hippoglossoides elassodon flathead sole 320-73 1 #> 171 5 Pleurogrammus monopterygius Atka mackerel 320-74 1 #> 172 7 Sebastes polyspinis northern rockfish 320-74 2 #> 173 5 Gadus chalcogrammus walleye pollock 320-74 1 #> 174 7 Hippoglossoides elassodon flathead sole 320-74 1 #> 175 4 Fusitriton oregonensis Oregon triton 324-73 15 #> 176 4 Atheresthes evermanni Kamchatka flounder 324-73 5 #> 177 4 Podothecus accipenserinus sturgeon poacher 324-73 4 #> 178 5 Gorgonocephalus eucnemis basketstar 320-74 1 #> 179 7 Fusitriton oregonensis Oregon triton 320-74 9 #> 180 4 Sebastes polyspinis northern rockfish 324-73 1 #> 181 7 Pagurus trigonocheirus fuzzy hermit crab 320-74 5 #> 182 7 Thaliacea salp unid. 320-74 NA #> 183 4 Bathymaster signatus searcher 324-73 1 #> 184 7 Elassochirus cavimanus purple hermit 320-74 5 #> 185 4 Pagurus confragosus knobbyhand hermit 324-73 5 #> 186 7 Modiolus modiolus northern horsemussel 320-74 1 #> 187 5 Thaliacea salp unid. 320-74 NA #> 188 3 Ammodytes sp. sand lance unid. 320-73 2 #> 189 4 Pagurus aleuticus Aleutian hermit 324-73 3 #> 190 3 Fusitriton oregonensis Oregon triton 320-73 2 #> 191 7 Pagurus confragosus knobbyhand hermit 320-74 2 #> 192 4 Axinella blanca firm finger sponge 324-73 NA #> 193 7 Ceramaster patagonicus orange bat sea star 320-74 1 #> 194 3 Gorgonocephalus eucnemis basketstar 320-73 1 #> 195 4 Chaetopterus sp. parchment tubeworms 324-73 NA #> 196 5 Rajiformes egg case skate egg case unid. 320-74 4 #> 197 7 Alcyonidium pedunculatum fruit leather bryozoan 320-74 NA #> 198 4 Nudibranchia nudibranch unid. 324-73 1 #> 199 5 Ophiura sarsii notched brittlestar 320-74 6 #> 200 3 Ophiura sarsii notched brittlestar 320-73 5 #> 201 7 Metridium farcimen gigantic anemone 320-74 1 #> 202 4 Rajiformes egg case skate egg case unid. 324-73 NA #> 203 7 Hyas lyratus Pacific lyre crab 320-74 2 #> 204 4 Actiniaria sea anemone unid. 324-73 1 #> 205 4 Labidochirus splendescens splendid hermit 324-73 1 #> 206 7 Rajiformes egg case skate egg case unid. 320-74 NA #> 207 7 Styela rustica sea potato 320-74 NA #> weight_kg cpue_kgkm2 cpue_nokm2 #> 130 343.340 14793.441181 10470.10604 #> 131 136.844 6214.554539 13215.30627 #> 132 118.374 5100.363507 5730.55186 #> 133 67.768 3050.003623 3510.51060 #> 134 62.926 2832.081926 3105.45169 #> 135 59.940 2582.626156 3877.81705 #> 136 33.600 1447.718366 4437.94618 #> 137 28.166 1267.654380 1395.20293 #> 138 23.320 950.181635 5419.13196 #> 139 20.740 941.874405 454.13424 #> 140 20.212 823.545077 2200.24907 #> 141 20.080 911.901546 1861.95037 #> 142 17.950 773.409067 1163.34512 #> 143 15.040 683.017891 544.96108 #> 144 10.780 439.234907 448.19888 #> 145 10.220 464.125189 90.82685 #> 146 9.904 445.744834 1170.17020 #> 147 8.980 365.893271 448.19888 #> 148 8.680 353.669665 407.45353 #> 149 8.620 351.224944 244.47212 #> 150 8.320 374.454464 360.05237 #> 151 7.000 285.217472 244.47212 #> 152 6.612 269.408275 1181.61524 #> 153 6.080 273.639801 180.02618 #> 154 5.900 254.212451 43.08686 #> 155 5.562 226.625654 40.74535 #> 156 4.960 202.096951 40.74535 #> 157 4.320 186.135218 430.86856 #> 158 3.920 178.020621 272.48054 #> 159 3.870 166.746133 215.43428 #> 160 3.340 151.680835 317.89396 #> 161 2.540 114.316627 90.01309 #> 162 2.468 112.080329 90.82685 #> 163 2.240 91.269591 81.49071 #> 164 1.672 75.931244 363.30739 #> 165 1.508 68.483443 0.00000 #> 166 1.332 57.391692 43.08686 #> 167 1.320 59.408641 45.00655 #> 168 1.182 48.161007 162.98141 #> 169 1.072 43.679019 0.00000 #> 170 0.946 40.760166 43.08686 #> 171 0.910 40.955957 45.00655 #> 172 0.863 39.191785 90.82685 #> 173 0.754 33.934936 45.00655 #> 174 0.648 29.427898 45.41342 #> 175 0.500 20.372677 611.18030 #> 176 0.416 16.950067 203.72677 #> 177 0.360 14.668327 162.98141 #> 178 0.236 10.621545 45.00655 #> 179 0.226 10.263434 408.72081 #> 180 0.198 8.067580 40.74535 #> 181 0.186 8.446897 227.06712 #> 182 0.172 7.811109 0.00000 #> 183 0.152 6.193294 40.74535 #> 184 0.148 6.721187 227.06712 #> 185 0.142 5.785840 203.72677 #> 186 0.090 4.087208 45.41342 #> 187 0.088 3.960576 0.00000 #> 188 0.080 3.446948 86.17371 #> 189 0.066 2.689193 122.23606 #> 190 0.062 2.671385 86.17371 #> 191 0.060 2.724805 90.82685 #> 192 0.060 2.444721 0.00000 #> 193 0.058 2.633979 45.41342 #> 194 0.056 2.412864 43.08686 #> 195 0.054 2.200249 0.00000 #> 196 0.048 2.160314 180.02618 #> 197 0.044 1.998191 0.00000 #> 198 0.036 1.466833 40.74535 #> 199 0.032 1.440209 270.03928 #> 200 0.020 0.861737 215.43428 #> 201 0.020 0.908268 45.41342 #> 202 0.020 0.814907 0.00000 #> 203 0.018 0.817442 90.82685 #> 204 0.016 0.651926 40.74535 #> 205 0.008 0.325963 40.74535 #> 206 0.004 0.181654 0.00000 #> 207 0.002 0.090827 0.00000 #> #> $catch$`2018` #> haul scientific_name common_name station #> 43 2 Gadus chalcogrammus walleye pollock 325-76 #> 44 9 Atheresthes stomias arrowtooth flounder 320-74 #> 45 1 Gadus chalcogrammus walleye pollock 324-73 #> 46 2 Porifera sponge unid. 325-76 #> 47 1 Atheresthes stomias arrowtooth flounder 324-73 #> 48 2 Mycale loveni lampshade sponge 325-76 #> 49 9 Lepidopsetta polyxystra northern rock sole 320-74 #> 50 2 Sebastes polyspinis northern rockfish 325-76 #> 51 2 Gadus macrocephalus Pacific cod 325-76 #> 52 9 Gadus chalcogrammus walleye pollock 320-74 #> 53 9 Gadus macrocephalus Pacific cod 320-74 #> 54 2 Atheresthes stomias arrowtooth flounder 325-76 #> 55 9 Hemilepidotus jordani yellow Irish lord 320-74 #> 56 9 Hippoglossus stenolepis Pacific halibut 320-74 #> 57 9 Bathyraja aleutica Aleutian skate 320-74 #> 58 1 Hippoglossus stenolepis Pacific halibut 324-73 #> 59 9 Sebastes alutus Pacific ocean perch 320-74 #> 60 1 Gadus macrocephalus Pacific cod 324-73 #> 61 2 Lepidopsetta polyxystra northern rock sole 325-76 #> 62 10 Gadus macrocephalus Pacific cod 320-73 #> 63 2 Pododesmus macrochisma abalone jingle 325-76 #> 64 2 Enteroctopus dofleini giant octopus 325-76 #> 65 10 Hippoglossus stenolepis Pacific halibut 320-73 #> 66 2 Hemilepidotus jordani yellow Irish lord 325-76 #> 67 2 Hexagrammos decagrammus kelp greenling 325-76 #> 68 1 Hippoglossoides elassodon flathead sole 324-73 #> 69 2 Hippoglossus stenolepis Pacific halibut 325-76 #> 70 9 Sebastes polyspinis northern rockfish 320-74 #> 71 9 Glyptocephalus zachirus rex sole 320-74 #> 72 9 Lepidopsetta bilineata southern rock sole 320-74 #> 73 1 Chionoecetes bairdi Tanner crab 324-73 #> 74 1 Glyptocephalus zachirus rex sole 324-73 #> 75 2 Pleurogrammus monopterygius Atka mackerel 325-76 #> 76 9 Enteroctopus dofleini giant octopus 320-74 #> 77 2 Tethya sp. ball sponge 325-76 #> 78 9 Hippoglossoides elassodon flathead sole 320-74 #> 79 10 Anarrhichthys ocellatus wolf-eel 320-73 #> 80 9 Pleurogrammus monopterygius Atka mackerel 320-74 #> 81 10 Lepidopsetta bilineata southern rock sole 320-73 #> 82 1 Arctoraja parmifera Alaska skate 324-73 #> 83 2 Fusitriton oregonensis Oregon triton 325-76 #> 84 9 Atheresthes evermanni Kamchatka flounder 320-74 #> 85 2 Hippoglossoides elassodon flathead sole 325-76 #> 86 2 Myoxocephalus polyacanthocephalus great sculpin 325-76 #> 87 2 Isodictya rigida orange finger sponge 325-76 #> 88 1 Pycnopodia helianthoides sunflower sea star 324-73 #> 89 2 Lepidopsetta bilineata southern rock sole 325-76 #> 90 2 Sebastes alutus Pacific ocean perch 325-76 #> 91 1 Myoxocephalus polyacanthocephalus great sculpin 324-73 #> 92 1 Bathyraja interrupta Bering skate 324-73 #> 93 2 Sebastes variabilis dusky rockfish 325-76 #> 94 2 Zaprora silenus prowfish 325-76 #> 95 10 Pleurogrammus monopterygius Atka mackerel 320-73 #> 96 2 Cucumaria fallax sea football 325-76 #> 97 1 Sebastes polyspinis northern rockfish 324-73 #> 98 1 Anoplopoma fimbria sablefish 324-73 #> 99 1 Hemilepidotus jordani yellow Irish lord 324-73 #> 100 2 Bathymaster signatus searcher 325-76 #> 101 10 Atheresthes stomias arrowtooth flounder 320-73 #> 102 1 Fusitriton oregonensis Oregon triton 324-73 #> 103 1 Thaliacea salp unid. 324-73 #> 104 1 Pagurus ochotensis Alaskan hermit 324-73 #> 105 1 Gorgonocephalus eucnemis basketstar 324-73 #> 106 2 Modiolus modiolus northern horsemussel 325-76 #> 107 1 Metridium farcimen gigantic anemone 324-73 #> 108 9 Scyphozoa jellyfish unid. 320-74 #> 109 1 Triglops macellus roughspine sculpin 324-73 #> 110 2 Crystallichthys cyclospilus blotched snailfish 325-76 #> 111 2 Ceramaster patagonicus orange bat sea star 325-76 #> 112 1 Lepidopsetta polyxystra northern rock sole 324-73 #> 113 2 Aphrocallistes vastus clay pipe sponge 325-76 #> 114 2 Gorgonocephalus eucnemis basketstar 325-76 #> 115 1 Sarritor frenatus sawback poacher 324-73 #> 116 2 Pteraster militaris wrinkled star 325-76 #> 117 2 Scyphozoa jellyfish unid. 325-76 #> 118 2 Elassochirus gilli Pacific red hermit 325-76 #> 119 2 Podothecus accipenserinus sturgeon poacher 325-76 #> 120 2 Doris odhneri white night doris 325-76 #> 121 1 Atheresthes evermanni Kamchatka flounder 324-73 #> 122 1 Oregonia gracilis graceful decorator crab 324-73 #> 123 1 Stomphia coccinea swimming anemone 324-73 #> 124 2 Pagurus brandti sponge hermit 325-76 #> 125 2 Sarritor frenatus sawback poacher 325-76 #> 126 1 Crossaster papposus rose sea star 324-73 #> 127 1 Pagurus capillatus hairy hermit crab 324-73 #> 128 2 Elassochirus tenuimanus widehand hermit crab 325-76 #> 129 1 Ciliatocardium ciliatum hairy cockle 324-73 #> count weight_kg cpue_kgkm2 cpue_nokm2 #> 43 1616 1211.290 56195.947836 74971.84960 #> 44 1041 643.495 25096.701051 40599.64070 #> 45 489 399.642 15729.789050 19246.89308 #> 46 NA 227.830 10569.824564 0.00000 #> 47 357 98.418 3873.702911 14051.41274 #> 48 NA 75.420 3498.995605 0.00000 #> 49 99 50.810 1981.621272 3861.06093 #> 50 88 45.950 2131.780006 4082.62547 #> 51 12 42.680 1980.073355 556.72166 #> 52 35 28.595 1115.222599 1365.02154 #> 53 9 26.500 1033.516310 351.00554 #> 54 33 23.050 1069.369513 1530.98455 #> 55 29 20.740 808.872765 1131.01785 #> 56 9 18.849 735.122601 351.00554 #> 57 1 18.780 732.431559 39.00062 #> 58 11 18.470 726.973651 432.95670 #> 59 40 17.560 684.850808 1560.02462 #> 60 6 15.540 611.649731 236.15820 #> 61 54 13.025 604.274964 2505.24745 #> 62 4 11.950 534.815361 179.01769 #> 63 NA 11.200 519.606878 0.00000 #> 64 1 11.130 516.359335 46.39347 #> 65 6 9.534 426.688674 268.52654 #> 66 17 9.350 433.778957 788.68901 #> 67 30 9.346 433.593383 1391.80414 #> 68 37 9.250 364.077221 1456.30888 #> 69 5 9.080 421.252719 231.96736 #> 70 14 8.980 350.225527 546.00862 #> 71 13 7.520 293.284628 507.00800 #> 72 9 7.370 287.434536 351.00554 #> 73 25 6.900 271.581927 983.99249 #> 74 24 6.170 242.849346 944.63279 #> 75 10 5.740 266.298525 463.93471 #> 76 1 5.380 209.823311 39.00062 #> 77 NA 5.080 235.678834 0.00000 #> 78 8 4.875 190.128000 312.00492 #> 79 1 4.670 209.003158 44.75442 #> 80 3 4.300 167.702647 117.00185 #> 81 7 4.100 183.493136 313.28096 #> 82 1 3.580 140.907724 39.35970 #> 83 75 3.280 152.170586 3479.51035 #> 84 3 2.940 114.661809 117.00185 #> 85 4 2.914 135.190575 185.57388 #> 86 1 2.720 126.190242 46.39347 #> 87 NA 2.600 120.623025 0.00000 #> 88 1 2.504 98.556688 39.35970 #> 89 8 2.259 104.802852 371.14777 #> 90 30 2.159 100.163505 1391.80414 #> 91 1 1.890 74.389832 39.35970 #> 92 1 1.850 72.815444 39.35970 #> 93 4 1.632 75.714145 185.57388 #> 94 1 1.592 73.858406 46.39347 #> 95 1 1.140 51.020043 44.75442 #> 96 3 0.994 46.115110 139.18041 #> 97 2 0.990 38.966103 78.71940 #> 98 2 0.974 38.336347 78.71940 #> 99 1 0.880 34.636536 39.35970 #> 100 2 0.756 35.073464 92.78694 #> 101 2 0.730 32.670729 89.50885 #> 102 21 0.634 24.954050 826.55369 #> 103 5 0.452 17.790584 196.79850 #> 104 15 0.442 17.396987 590.39549 #> 105 1 0.430 16.924671 39.35970 #> 106 12 0.375 17.397552 556.72166 #> 107 3 0.360 14.169492 118.07910 #> 108 1 0.295 11.505182 39.00062 #> 109 5 0.292 11.493032 196.79850 #> 110 1 0.222 10.299351 46.39347 #> 111 4 0.200 9.278694 185.57388 #> 112 1 0.174 6.848588 39.35970 #> 113 NA 0.155 7.190988 0.00000 #> 114 2 0.145 6.727053 92.78694 #> 115 3 0.140 5.510358 118.07910 #> 116 2 0.100 4.639347 92.78694 #> 117 2 0.095 4.407380 92.78694 #> 118 2 0.085 3.943445 92.78694 #> 119 1 0.072 3.340330 46.39347 #> 120 2 0.055 2.551641 92.78694 #> 121 1 0.042 1.653107 39.35970 #> 122 1 0.042 1.653107 39.35970 #> 123 1 0.034 1.338230 39.35970 #> 124 2 0.030 1.391804 92.78694 #> 125 1 0.024 1.113443 46.39347 #> 126 1 0.014 0.551036 39.35970 #> 127 1 0.012 0.472316 39.35970 #> 128 1 0.005 0.231967 46.39347 #> 129 1 0.002 0.078719 39.35970 #> #> $catch$`2022` #> haul scientific_name common_name station #> 1 6 Gadus chalcogrammus walleye pollock 324-73 #> 2 5 Gadus chalcogrammus walleye pollock 326-76 #> 3 5 Atheresthes stomias arrowtooth flounder 326-76 #> 4 6 Atheresthes stomias arrowtooth flounder 324-73 #> 5 5 Gadus macrocephalus Pacific cod 326-76 #> 6 5 Hippoglossoides elassodon flathead sole 326-76 #> 7 6 Hippoglossus stenolepis Pacific halibut 324-73 #> 8 6 Enteroctopus dofleini giant octopus 324-73 #> 9 6 Hippoglossoides elassodon flathead sole 324-73 #> 10 5 Hemilepidotus jordani yellow Irish lord 326-76 #> 11 5 Lepidopsetta polyxystra northern rock sole 326-76 #> 12 6 Beringraja binoculata big skate 324-73 #> 13 6 Parophrys vetulus English sole 324-73 #> 14 5 Hippoglossus stenolepis Pacific halibut 326-76 #> 15 6 Glyptocephalus zachirus rex sole 324-73 #> 16 6 Chionoecetes bairdi Tanner crab 324-73 #> 17 6 Pycnopodia helianthoides sunflower sea star 324-73 #> 18 6 Myoxocephalus polyacanthocephalus great sculpin 324-73 #> 19 6 Gadus macrocephalus Pacific cod 324-73 #> 20 6 Fusitriton oregonensis Oregon triton 324-73 #> 21 5 Myoxocephalus polyacanthocephalus great sculpin 326-76 #> 22 6 Lepidopsetta bilineata southern rock sole 324-73 #> 23 6 Hemilepidotus jordani yellow Irish lord 324-73 #> 24 5 Pleurogrammus monopterygius Atka mackerel 326-76 #> 25 6 Lepidopsetta polyxystra northern rock sole 324-73 #> 26 5 Atheresthes evermanni Kamchatka flounder 326-76 #> 27 6 Microstomus pacificus Dover sole 324-73 #> 28 5 Sebastes alutus Pacific ocean perch 326-76 #> 29 5 Malacocottus zonurus darkfin sculpin 326-76 #> 30 5 Microstomus pacificus Dover sole 326-76 #> 31 5 Sebastes polyspinis northern rockfish 326-76 #> 32 6 Gorgonocephalus eucnemis basketstar 324-73 #> 33 6 Pennatuloidea sea whip or sea pen unid. 324-73 #> 34 6 Virgularia sp. smoothstem seawhip 324-73 #> 35 6 Porifera sponge unid. 324-73 #> 36 5 Fusitriton oregonensis Oregon triton 326-76 #> 37 5 Triglops forficatus scissortail sculpin 326-76 #> 38 5 Triglops scepticus spectacled sculpin 326-76 #> 39 6 Pagurus trigonocheirus fuzzy hermit crab 324-73 #> 40 5 Modiolus modiolus northern horsemussel 326-76 #> 41 6 Pagurus confragosus knobbyhand hermit 324-73 #> 42 6 Triglops macellus roughspine sculpin 324-73 #> count weight_kg cpue_kgkm2 cpue_nokm2 #> 1 1066 715.400 25276.726092 37664.22982 #> 2 620 569.090 22754.334435 24789.90555 #> 3 295 157.540 6299.035033 11795.19700 #> 4 201 134.890 4765.973697 7101.79193 #> 5 47 103.320 4131.117809 1879.23478 #> 6 104 55.660 2225.493779 4158.30674 #> 7 33 50.280 1776.507951 1165.96584 #> 8 2 24.500 865.641305 70.66460 #> 9 96 21.030 743.038230 3391.90062 #> 10 24 18.960 758.091305 959.60925 #> 11 37 16.840 673.325822 1479.39759 #> 12 1 15.560 549.770559 35.33230 #> 13 18 13.171 465.361699 635.98137 #> 14 6 8.480 339.061934 239.90231 #> 15 26 7.860 277.711863 918.63975 #> 16 25 6.400 226.126708 883.30745 #> 17 2 6.300 222.593478 70.66460 #> 18 2 4.865 171.891630 70.66460 #> 19 4 3.870 136.735994 141.32919 #> 20 77 3.145 111.120078 2720.58696 #> 21 1 3.085 123.349772 39.98372 #> 22 4 2.975 105.113587 141.32919 #> 23 5 2.940 103.876957 176.66149 #> 24 2 1.980 79.167763 79.96744 #> 25 2 1.455 51.408494 70.66460 #> 26 4 1.380 55.177532 159.93488 #> 27 5 1.280 45.225342 176.66149 #> 28 4 1.105 44.182009 159.93488 #> 29 2 0.975 38.984126 79.96744 #> 30 3 0.915 36.585103 119.95116 #> 31 1 0.860 34.385998 39.98372 #> 32 2 0.835 29.502469 70.66460 #> 33 1 0.240 8.479752 35.33230 #> 34 1 0.240 8.479752 35.33230 #> 35 NA 0.170 6.006491 0.00000 #> 36 3 0.140 5.597721 119.95116 #> 37 1 0.100 3.998372 39.98372 #> 38 2 0.085 3.398616 79.96744 #> 39 1 0.065 2.296599 35.33230 #> 40 1 0.060 2.399023 39.98372 #> 41 1 0.055 1.943276 35.33230 #> 42 1 0.020 0.706646 35.33230 #> #> #> $catch_means #> scientific_name common_name station #> 1 Pleurogrammus monopterygius Atka mackerel 326-76 #> 2 Gadus chalcogrammus walleye pollock 325-76 #> 3 Gadus chalcogrammus walleye pollock 321-74 #> 4 Gadus chalcogrammus walleye pollock 324-73 #> 5 Gadus chalcogrammus walleye pollock 326-76 #> 6 Atheresthes stomias arrowtooth flounder 320-74 #> 7 Lepidopsetta bilineata southern rock sole 321-74 #> 8 Porifera sponge unid. 325-76 #> 9 Tedania kagalaskai club sponge 325-76 #> 10 Mycale loveni lampshade sponge 325-76 #> 11 Lepidopsetta polyxystra northern rock sole 320-73 #> 12 Gadus macrocephalus Pacific cod 325-76 #> 13 Gadus macrocephalus Pacific cod 320-73 #> 14 Gadus macrocephalus Pacific cod 326-76 #> 15 Atheresthes stomias arrowtooth flounder 321-74 #> 16 Lepidopsetta bilineata southern rock sole 320-73 #> 17 Atheresthes stomias arrowtooth flounder 326-76 #> 18 Pleurogrammus monopterygius Atka mackerel 320-74 #> 19 Tedania kagalaskai club sponge 326-76 #> 20 Atheresthes stomias arrowtooth flounder 324-73 #> 21 Sebastes polyspinis northern rockfish 325-76 #> 22 Gadus macrocephalus Pacific cod 320-74 #> 23 Lepidopsetta polyxystra northern rock sole 325-76 #> 24 Hippoglossus stenolepis Pacific halibut 320-74 #> 25 Lepidopsetta polyxystra northern rock sole 320-74 #> 26 Hippoglossus stenolepis Pacific halibut 325-76 #> 27 Hippoglossus stenolepis Pacific halibut 320-73 #> 28 Gadus macrocephalus Pacific cod 321-74 #> 29 Hemilepidotus jordani yellow Irish lord 325-76 #> 30 Hippoglossus stenolepis Pacific halibut 321-74 #> 31 Lepidopsetta bilineata southern rock sole 320-74 #> 32 Lepidopsetta polyxystra northern rock sole 326-76 #> 33 Somniosus pacificus Pacific sleeper shark 324-73 #> 34 Hippoglossoides elassodon flathead sole 324-73 #> 35 Hippoglossus stenolepis Pacific halibut 326-76 #> 36 Pleurogrammus monopterygius Atka mackerel 325-76 #> 37 Hippoglossus stenolepis Pacific halibut 324-73 #> 38 Gadus macrocephalus Pacific cod 324-73 #> 39 Hippoglossoides elassodon flathead sole 321-74 #> 40 Lepidopsetta polyxystra northern rock sole 321-74 #> 41 Hippoglossoides elassodon flathead sole 325-76 #> 42 Bathyraja aleutica Aleutian skate 320-74 #> 43 Hemilepidotus jordani yellow Irish lord 326-76 #> 44 Atheresthes stomias arrowtooth flounder 325-76 #> 45 Hippoglossoides elassodon flathead sole 326-76 #> 46 Enteroctopus dofleini giant octopus 320-74 #> 47 Beringraja binoculata big skate 324-73 #> 48 Enteroctopus dofleini giant octopus 324-73 #> 49 Lepidopsetta bilineata southern rock sole 325-76 #> 50 Enteroctopus dofleini giant octopus 325-76 #> 51 Hippoglossoides elassodon flathead sole 320-74 #> 52 Pododesmus macrochisma abalone jingle 325-76 #> 53 Atheresthes stomias arrowtooth flounder 320-73 #> 54 Arctoraja parmifera Alaska skate 326-76 #> 55 Glyptocephalus zachirus rex sole 324-73 #> 56 Enteroctopus dofleini giant octopus 321-74 #> 57 Sebastes alutus Pacific ocean perch 320-74 #> 58 Sebastes variabilis dusky rockfish 320-74 #> 59 Parophrys vetulus English sole 324-73 #> 60 Chionoecetes bairdi Tanner crab 324-73 #> 61 Gadus chalcogrammus walleye pollock 320-74 #> 62 Metridium farcimen gigantic anemone 321-74 #> 63 Glyptocephalus zachirus rex sole 320-74 #> 64 Sebastes polyspinis northern rockfish 320-74 #> 65 Arctoraja parmifera Alaska skate 325-76 #> 66 Hemilepidotus jordani yellow Irish lord 320-74 #> 67 Hexagrammos decagrammus kelp greenling 325-76 #> 68 Tethya sp. ball sponge 325-76 #> 69 Myoxocephalus polyacanthocephalus great sculpin 320-73 #> 70 Anarrhichthys ocellatus wolf-eel 320-73 #> 71 Arctoraja parmifera Alaska skate 324-73 #> 72 Anarrhichthys ocellatus wolf-eel 320-74 #> 73 Monanchora pulchra yellow leafy sponge 325-76 #> 74 Mycale loveni lampshade sponge 326-76 #> 75 Myoxocephalus polyacanthocephalus great sculpin 320-74 #> 76 Clupea pallasii Pacific herring 320-73 #> 77 Myoxocephalus polyacanthocephalus great sculpin 324-73 #> 78 Lepidopsetta bilineata southern rock sole 326-76 #> 79 Squalus suckleyi spiny dogfish 326-76 #> 80 Oncorhynchus keta chum salmon 325-76 #> 81 Anoplopoma fimbria sablefish 324-73 #> 82 Porifera sponge unid. 321-74 #> 83 Pycnopodia helianthoides sunflower sea star 324-73 #> 84 Bathymaster signatus searcher 325-76 #> 85 Myoxocephalus polyacanthocephalus great sculpin 325-76 #> 86 Pleurogrammus monopterygius Atka mackerel 320-73 #> 87 Myoxocephalus polyacanthocephalus great sculpin 326-76 #> 88 Lepidopsetta bilineata southern rock sole 324-73 #> 89 Isodictya rigida orange finger sponge 325-76 #> 90 Fusitriton oregonensis Oregon triton 325-76 #> 91 Atheresthes evermanni Kamchatka flounder 320-74 #> 92 Pleurogrammus monopterygius Atka mackerel 324-73 #> 93 Hemilepidotus jordani yellow Irish lord 321-74 #> 94 Chirona evermanni giant barnacle 320-74 #> 95 Hemilepidotus jordani yellow Irish lord 324-73 #> 96 Sebastes variabilis dusky rockfish 326-76 #> 97 Pleuronectes quadrituberculatus Alaska plaice 324-73 #> 98 Strongylocentrotus droebachiensis green sea urchin 321-74 #> 99 Sebastes variabilis dusky rockfish 325-76 #> 100 Zaprora silenus prowfish 325-76 #> 101 Pleurogrammus monopterygius Atka mackerel 321-74 #> 102 Bathyraja interrupta Bering skate 324-73 #> 103 Sebastes variabilis dusky rockfish 324-73 #> 104 Bathyraja taranetzi mud skate 320-74 #> 105 Hexagrammos decagrammus kelp greenling 320-74 #> 106 Hemitripterus bolini bigmouth sculpin 326-76 #> 107 Hemilepidotus jordani yellow Irish lord 320-73 #> 108 Aptocyclus ventricosus smooth lumpsucker 320-73 #> 109 Lethasterias nanimensis blackspined sea star 325-76 #> 110 Sebastes ciliatus dark rockfish 321-74 #> 111 Pycnopodia helianthoides sunflower sea star 320-74 #> 112 Sebastes alutus Pacific ocean perch 325-76 #> 113 Zoanthidae sp. A hot dog zoanthid 325-76 #> 114 Aptocyclus ventricosus smooth lumpsucker 320-74 #> 115 Cucumaria fallax sea football 325-76 #> 116 Tethya sp. ball sponge 326-76 #> 117 Sebastes variabilis dusky rockfish 321-74 #> 118 Limanda aspera yellowfin sole 321-74 #> 119 Lepidopsetta polyxystra northern rock sole 324-73 #> 120 Gymnocanthus galeatus armorhead sculpin 324-73 #> 121 Gadus chalcogrammus walleye pollock 320-73 #> 122 Lethasterias nanimensis blackspined sea star 320-73 #> 123 Hippoglossoides elassodon flathead sole 320-73 #> 124 Glyptocephalus zachirus rex sole 321-74 #> 125 Malacocottus zonurus darkfin sculpin 326-76 #> 126 Microstomus pacificus Dover sole 326-76 #> 127 Fusitriton oregonensis Oregon triton 324-73 #> 128 Berryteuthis magister magistrate armhook squid 321-74 #> 129 Porifera sponge unid. 326-76 #> 130 Fusitriton oregonensis Oregon triton 321-74 #> 131 Sebastes melanostictus blackspotted rockfish 320-74 #> 132 Malacocottus zonurus darkfin sculpin 320-74 #> 133 Sebastes polyspinis northern rockfish 326-76 #> 134 Atheresthes evermanni Kamchatka flounder 326-76 #> 135 Scyphozoa jellyfish unid. 320-74 #> 136 Thaliacea salp unid. 321-74 #> 137 Pagurus brandti sponge hermit 325-76 #> 138 Sebastes alutus Pacific ocean perch 326-76 #> 139 Metridium farcimen gigantic anemone 320-74 #> 140 Thaliacea salp unid. 324-73 #> 141 Podothecus accipenserinus sturgeon poacher 324-73 #> 142 Gymnocanthus galeatus armorhead sculpin 325-76 #> 143 Lethasterias nanimensis blackspined sea star 326-76 #> 144 Atheresthes evermanni Kamchatka flounder 320-73 #> 145 Gorgonocephalus eucnemis basketstar 324-73 #> 146 Halocynthia aurantium sea peach 326-76 #> 147 Gymnocanthus galeatus armorhead sculpin 326-76 #> 148 Berryteuthis magister magistrate armhook squid 320-74 #> 149 Microstomus pacificus Dover sole 324-73 #> 150 Porifera sponge unid. 324-73 #> 151 Sebastes alutus Pacific ocean perch 324-73 #> 152 Triglops forficatus scissortail sculpin 326-76 #> 153 Fusitriton oregonensis Oregon triton 326-76 #> 154 Sebastes variegatus harlequin rockfish 326-76 #> 155 Porifera sponge unid. 320-74 #> 156 Holothuroidea sea cucumber unid. 320-74 #> 157 Axinella blanca firm finger sponge 326-76 #> 158 Pagurus ochotensis Alaskan hermit 324-73 #> 159 Berryteuthis magister magistrate armhook squid 326-76 #> 160 Berryteuthis magister magistrate armhook squid 324-73 #> 161 Hemilepidotus hemilepidotus red Irish lord 320-73 #> 162 Gorgonocephalus eucnemis basketstar 321-74 #> 163 Isodictya palmata prickly pear sponge 325-76 #> 164 Atheresthes evermanni Kamchatka flounder 324-73 #> 165 Modiolus modiolus northern horsemussel 325-76 #> 166 Crossaster papposus rose sea star 325-76 #> 167 Sebastes polyspinis northern rockfish 324-73 #> 168 Metridium farcimen gigantic anemone 324-73 #> 169 Clupea pallasii Pacific herring 324-73 #> 170 Lethasterias nanimensis blackspined sea star 324-73 #> 171 Chionoecetes bairdi Tanner crab 321-74 #> 172 Strongylocentrotus droebachiensis green sea urchin 320-74 #> 173 Thaliacea salp unid. 320-73 #> 174 Serpulidae serpulid worm 321-74 #> 175 Gymnocanthus galeatus armorhead sculpin 321-74 #> 176 Lethasterias nanimensis blackspined sea star 321-74 #> 177 Scyphozoa jellyfish unid. 324-73 #> 178 Lethasterias nanimensis blackspined sea star 320-74 #> 179 Mediaster aequalis vermilion sea star 325-76 #> 180 Sebastes ciliatus dark rockfish 325-76 #> 181 Crystallichthys cyclospilus blotched snailfish 325-76 #> 182 Strongylocentrotus droebachiensis green sea urchin 326-76 #> 183 Gorgonocephalus eucnemis basketstar 326-76 #> 184 Halocynthia aurantium sea peach 320-73 #> 185 Strongylocentrotus droebachiensis green sea urchin 320-73 #> 186 Ceramaster patagonicus orange bat sea star 325-76 #> 187 Fusitriton oregonensis Oregon triton 320-74 #> 188 Stelodoryx oxeata scapula sponge 324-73 #> 189 Pagurus trigonocheirus fuzzy hermit crab 324-73 #> 190 Axinella blanca firm finger sponge 324-73 #> 191 Pennatuloidea sea whip or sea pen unid. 324-73 #> 192 Virgularia sp. smoothstem seawhip 324-73 #> 193 Pagurus trigonocheirus fuzzy hermit crab 320-74 #> 194 Elassochirus cavimanus purple hermit 325-76 #> 195 Crystallichthys cyclospilus blotched snailfish 320-74 #> 196 Modiolus modiolus northern horsemussel 326-76 #> 197 Sebastes ciliatus dark rockfish 320-74 #> 198 Ceramaster japonicus red bat star 325-76 #> 199 Cheiraster dawsoni fragile sea star 325-76 #> 200 Pagurus brandti sponge hermit 320-74 #> 201 Aphrocallistes vastus clay pipe sponge 325-76 #> 202 Triglops forficatus scissortail sculpin 325-76 #> 203 Pagurus brandti sponge hermit 324-73 #> 204 Strongylocentrotus droebachiensis green sea urchin 324-73 #> 205 Gorgonocephalus eucnemis basketstar 320-74 #> 206 Gorgonocephalus eucnemis basketstar 325-76 #> 207 Gymnocanthus galeatus armorhead sculpin 320-74 #> 208 Pagurus cornutus hornyhand hermit 320-74 #> 209 Acantholithodes hispidus fuzzy crab 325-76 #> 210 Ascidiacea tunicate unid. 326-76 #> 211 Bathymaster signatus searcher 324-73 #> 212 Monanchora pulchra yellow leafy sponge 324-73 #> 213 Pagurus ochotensis Alaskan hermit 321-74 #> 214 Erimacrus isenbeckii horsehair crab 324-73 #> 215 Triglops macellus roughspine sculpin 324-73 #> 216 Scyphozoa jellyfish unid. 320-73 #> 217 Elassochirus cavimanus purple hermit 320-74 #> 218 Bathymaster signatus searcher 326-76 #> 219 Thaliacea salp unid. 320-74 #> 220 Solaster dawsoni morning sun sea star 320-74 #> 221 Atheresthes evermanni Kamchatka flounder 321-74 #> 222 Elassochirus cavimanus purple hermit 321-74 #> 223 Actiniaria sea anemone unid. 320-74 #> 224 Actiniaria sea anemone unid. 326-76 #> 225 Mycale loveni lampshade sponge 324-73 #> 226 Pyrulofusus harpa left-hand whelk 320-74 #> 227 Scyphozoa jellyfish unid. 325-76 #> 228 Crystallichthys cyclospilus blotched snailfish 326-76 #> 229 Pododesmus macrochisma abalone jingle 326-76 #> 230 Elassochirus gilli Pacific red hermit 325-76 #> 231 Scyphozoa jellyfish unid. 321-74 #> 232 Monanchora pulchra yellow leafy sponge 326-76 #> 233 Pagurus confragosus knobbyhand hermit 324-73 #> 234 Modiolus modiolus northern horsemussel 320-74 #> 235 Echinarachnius parma parma sand dollar 321-74 #> 236 Podothecus accipenserinus sturgeon poacher 321-74 #> 237 Axinella blanca firm finger sponge 325-76 #> 238 Sarritor frenatus sawback poacher 324-73 #> 239 Pagurus confragosus knobbyhand hermit 320-74 #> 240 Tethya sp. ball sponge 324-73 #> 241 Pagurus aleuticus Aleutian hermit 324-73 #> 242 Ammodytes sp. sand lance unid. 320-73 #> 243 Ascidiacea tunicate unid. 320-74 #> 244 Annelida worm unid. 324-73 #> 245 Podothecus accipenserinus sturgeon poacher 325-76 #> 246 Thaliacea salp unid. 326-76 #> 247 Pododesmus macrochisma abalone jingle 324-73 #> 248 Elassochirus cavimanus purple hermit 326-76 #> 249 Triglops scepticus spectacled sculpin 320-74 #> 250 Bryozoa bryozoan unid. 326-76 #> 251 Triglops macellus roughspine sculpin 321-74 #> 252 Podothecus accipenserinus sturgeon poacher 320-73 #> 253 Ceramaster japonicus red bat star 326-76 #> 254 Elassochirus tenuimanus widehand hermit crab 326-76 #> 255 Pteraster militaris wrinkled star 325-76 #> 256 Diplopteraster multipes pincushion sea star 326-76 #> 257 Fusitriton oregonensis Oregon triton 320-73 #> 258 Pteraster militaris wrinkled star 326-76 #> 259 Ascidia paratropa glassy tunicate 325-76 #> 260 Pseudarchaster parelii scarlet sea star 325-76 #> 261 Ceramaster patagonicus orange bat sea star 320-74 #> 262 Doris odhneri white night doris 325-76 #> 263 Pagurus confragosus knobbyhand hermit 326-76 #> 264 Sarritor frenatus sawback poacher 321-74 #> 265 Elassochirus tenuimanus widehand hermit crab 321-74 #> 266 Gorgonocephalus eucnemis basketstar 320-73 #> 267 Triglops scepticus spectacled sculpin 326-76 #> 268 Cyanea capillata lion's mane jelly 324-73 #> 269 Serripes notabilis oblique smoothcockle 324-73 #> 270 Chaetopterus sp. parchment tubeworms 324-73 #> 271 Ophiura sarsii notched brittlestar 320-74 #> 272 Diplopteraster multipes pincushion sea star 320-74 #> 273 Sarritor frenatus sawback poacher 326-76 #> 274 Pagurus brandti sponge hermit 326-76 #> 275 Alcyonidium pedunculatum fruit leather bryozoan 320-74 #> 276 Ophiura sarsii notched brittlestar 321-74 #> 277 Hyas lyratus Pacific lyre crab 326-76 #> 278 Chaetopterus sp. parchment tubeworms 325-76 #> 279 Pagurus aleuticus Aleutian hermit 325-76 #> 280 Nudibranchia nudibranch unid. 326-76 #> 281 Elassochirus tenuimanus widehand hermit crab 320-74 #> 282 Crossaster papposus rose sea star 324-73 #> 283 Crossaster papposus rose sea star 321-74 #> 284 Hyas lyratus Pacific lyre crab 320-74 #> 285 Oregonia gracilis graceful decorator crab 324-73 #> 286 Pseudarchaster parelii scarlet sea star 326-76 #> 287 Ophiura sarsii notched brittlestar 326-76 #> 288 Pagurus ochotensis Alaskan hermit 326-76 #> 289 Rhinolithodes wosnessenskii rhinoceros crab 325-76 #> 290 Pseudarchaster parelii scarlet sea star 324-73 #> 291 Nudibranchia nudibranch unid. 324-73 #> 292 Hyas lyratus Pacific lyre crab 321-74 #> 293 Sebastes sp. white spotted red rockfish unid. 326-76 #> 294 Stomphia coccinea swimming anemone 324-73 #> 295 Pagurus aleuticus Aleutian hermit 321-74 #> 296 Pagurus aleuticus Aleutian hermit 320-74 #> 297 Cheiraster dawsoni fragile sea star 321-74 #> 298 Actiniaria sea anemone unid. 321-74 #> 299 Henricia aspera ridged blood star 321-74 #> 300 Rajiformes egg case skate egg case unid. 320-74 #> 301 Ammodytes sp. sand lance unid. 320-74 #> 302 Ceramaster patagonicus orange bat sea star 326-76 #> 303 Sarritor frenatus sawback poacher 325-76 #> 304 Metridium farcimen gigantic anemone 326-76 #> 305 Halocynthia aurantium sea peach 321-74 #> 306 Pseudarchaster parelii scarlet sea star 321-74 #> 307 Cheiraster dawsoni fragile sea star 320-74 #> 308 Aptocyclus ventricosus smooth lumpsucker 326-76 #> 309 Chirona evermanni giant barnacle 324-73 #> 310 Modiolus modiolus northern horsemussel 321-74 #> 311 Rajiformes egg case skate egg case unid. 324-73 #> 312 Cucumaria fallax sea football 320-74 #> 313 Leptychaster arcticus North Pacific sea star 325-76 #> 314 Castaneobuccinum castaneum chestnut whelk 320-74 #> 315 Ophiura sarsii notched brittlestar 320-73 #> 316 Pagurus aleuticus Aleutian hermit 326-76 #> 317 Tritonia tetraquetra rosy Tritonia 326-76 #> 318 Elassochirus tenuimanus widehand hermit crab 325-76 #> 319 Pagurus brandti sponge hermit 321-74 #> 320 Actiniaria sea anemone unid. 324-73 #> 321 Porella compressa flattened bryozoan 325-76 #> 322 Ceramaster arcticus Arctic bat sea star 320-74 #> 323 Mycale loveni lampshade sponge 320-74 #> 324 Porifera sponge unid. 320-73 #> 325 Buccinum plectrum sinuous whelk 320-73 #> 326 Pedicellaster magister majestic sea star 326-76 #> 327 Pagurus capillatus hairy hermit crab 324-73 #> 328 Ctenodiscus crispatus common mud star 321-74 #> 329 Pedicellaster magister majestic sea star 325-76 #> 330 Buccinum scalariforme ladder whelk 326-76 #> 331 Cheiraster dawsoni fragile sea star 326-76 #> 332 Eumicrotremus sp. spiny lumpsuckers 326-76 #> 333 Laqueus erythraeus California lamp shell 326-76 #> 334 Hyas lyratus Pacific lyre crab 324-73 #> 335 Cheiraster dawsoni fragile sea star 324-73 #> 336 Pagurus brandti sponge hermit 320-73 #> 337 Pagurus rathbuni longfinger hermit 324-73 #> 338 Pagurus dalli whiteknee hermit 326-76 #> 339 Labidochirus splendescens splendid hermit 324-73 #> 340 Keenocardium blandum low-rib cockle 320-74 #> 341 Dasycottus setiger spinyhead sculpin 324-73 #> 342 Leptasterias hylodes Aleutian sea star 325-76 #> 343 Periphylla periphylla helmet jelly 321-74 #> 344 Labidochirus splendescens splendid hermit 320-74 #> 345 Isopoda isopod unid. 326-76 #> 346 Ophiuroidea brittlestar unid. 326-76 #> 347 Bulbus fragilis fragile moonsnail 320-73 #> 348 Notostomum cyclostomum striped sea leech 320-73 #> 349 Argis lar kuro argid 324-73 #> 350 Rhamphocottus richardsonii grunt sculpin 321-74 #> 351 Pagurus tanneri longhand hermit 324-73 #> 352 Styela rustica sea potato 320-74 #> 353 Hydroidolina hydroid unid. 326-76 #> 354 Cryptonatica aleutica Aleutian moonsnail 321-74 #> 355 Nudibranchia nudibranch unid. 325-76 #> 356 Ophiura sarsii notched brittlestar 325-76 #> 357 Oregonia gracilis graceful decorator crab 325-76 #> 358 Bryozoa bryozoan unid. 320-74 #> 359 Crangon dalli ridged Crangon 324-73 #> 360 Chaetopterus sp. parchment tubeworms 321-74 #> 361 Eunoe nodosa giant scale worm 320-74 #> 362 Ophiuroidea brittlestar unid. 320-74 #> 363 Paguridae hermit crab unid. 320-74 #> 364 Polychaeta polychaete worm unid. 320-74 #> 365 Ciliatocardium ciliatum hairy cockle 324-73 #> 366 Stomphia coccinea swimming anemone 321-74 #> 367 Hydroidolina hydroid unid. 320-74 #> 368 Eunoe nodosa giant scale worm 324-73 #> count weight_kg cpue_kgkm2 cpue_nokm2 Freq #> 1 1497.4 1789.34 94902.36 80347.06 25 #> 2 1234.3 1251.75 55114.50 54838.15 34 #> 3 854.2 784.69 35510.05 38670.66 34 #> 4 423.0 407.05 15854.10 16269.08 34 #> 5 258.0 230.71 10309.60 11631.29 34 #> 6 221.2 151.60 6297.82 9178.62 39 #> 7 156.0 122.81 5322.45 6727.62 36 #> 8 NaN 94.37 4367.10 0.00 16 #> 9 NaN 84.54 3852.22 0.00 3 #> 10 NaN 74.86 3438.86 0.00 8 #> 11 150.2 77.45 3416.72 6626.83 38 #> 12 23.0 70.91 3113.01 1012.85 41 #> 13 47.3 69.07 2993.11 2049.81 41 #> 14 31.1 62.01 2889.40 1430.62 41 #> 15 144.2 70.02 2871.40 5917.14 39 #> 16 78.8 57.65 2582.22 3502.65 36 #> 17 111.3 56.72 2534.58 5006.63 39 #> 18 40.8 60.12 2446.28 1661.49 25 #> 19 NaN 43.86 2421.75 0.00 3 #> 20 200.9 58.01 2263.72 8033.58 39 #> 21 88.0 45.95 2131.78 4082.63 10 #> 22 22.0 43.21 1917.41 970.52 41 #> 23 108.7 42.69 1885.36 4838.62 38 #> 24 29.2 42.39 1857.68 1291.25 42 #> 25 80.6 40.60 1745.75 3487.95 38 #> 26 28.7 38.12 1681.20 1245.72 42 #> 27 41.8 37.27 1648.29 1844.99 42 #> 28 17.2 33.80 1425.89 714.21 41 #> 29 33.0 26.45 1188.56 1487.43 34 #> 30 24.5 27.32 1184.01 1067.25 42 #> 31 35.5 26.88 1176.37 1553.87 36 #> 32 51.6 24.46 1113.64 2350.01 38 #> 33 1.0 25.80 1108.64 42.97 1 #> 34 132.5 25.88 1038.67 5326.48 32 #> 35 13.6 20.94 1032.25 632.12 42 #> 36 18.0 21.93 962.55 799.10 25 #> 37 13.1 22.24 883.73 516.84 42 #> 38 12.8 21.63 878.48 518.49 41 #> 39 28.2 19.76 825.23 1182.22 32 #> 40 39.7 19.34 811.66 1653.08 38 #> 41 27.0 18.41 797.25 1170.00 32 #> 42 1.0 18.78 732.43 39.00 1 #> 43 22.3 15.67 713.58 1014.33 34 #> 44 29.7 15.60 706.91 1346.77 39 #> 45 26.7 15.15 645.96 1132.80 32 #> 46 2.0 14.03 580.53 83.59 9 #> 47 1.0 15.41 569.75 36.99 2 #> 48 1.2 13.81 537.63 48.98 9 #> 49 18.0 12.20 534.53 794.72 36 #> 50 1.0 11.13 516.36 46.39 9 #> 51 14.4 11.54 511.25 635.90 32 #> 52 114.0 10.46 483.02 2619.58 8 #> 53 17.5 10.06 460.45 821.13 39 #> 54 1.0 9.20 459.19 49.91 6 #> 55 39.0 10.69 432.37 1573.45 16 #> 56 1.0 10.25 428.98 41.85 9 #> 57 24.0 10.62 416.61 941.29 11 #> 58 12.0 9.85 402.84 490.12 8 #> 59 12.0 10.09 375.29 440.23 2 #> 60 21.3 9.00 368.95 859.29 8 #> 61 7.8 7.46 303.01 312.63 34 #> 62 30.5 6.73 290.40 1331.68 8 #> 63 10.3 6.59 282.28 443.79 16 #> 64 11.0 7.00 279.66 440.75 10 #> 65 1.0 5.98 274.83 45.96 6 #> 66 9.0 6.48 273.66 380.43 34 #> 67 14.7 5.45 248.30 673.30 5 #> 68 NaN 5.08 235.68 0.00 3 #> 69 1.0 4.46 233.08 52.31 13 #> 70 1.0 5.28 231.61 43.92 3 #> 71 1.2 5.21 208.19 50.19 6 #> 72 1.0 4.48 202.69 45.24 3 #> 73 NaN 4.32 193.94 0.00 4 #> 74 NaN 3.52 192.81 0.00 8 #> 75 1.5 4.20 189.18 67.49 13 #> 76 10.0 4.32 186.14 430.87 2 #> 77 2.1 4.34 173.41 84.65 13 #> 78 4.2 3.66 171.97 195.02 36 #> 79 1.0 3.10 154.73 49.91 1 #> 80 1.0 3.12 143.39 45.96 1 #> 81 4.7 3.40 137.83 188.52 3 #> 82 NaN 3.28 137.11 0.00 16 #> 83 1.3 3.51 130.05 50.03 4 #> 84 10.0 2.75 126.46 460.01 4 #> 85 1.0 2.72 126.19 46.39 13 #> 86 4.0 2.81 125.57 181.32 25 #> 87 1.0 3.08 123.35 39.98 13 #> 88 2.8 3.04 121.64 111.84 36 #> 89 NaN 2.60 120.62 0.00 1 #> 90 48.3 2.56 117.78 2228.10 29 #> 91 5.5 2.81 115.01 231.92 14 #> 92 3.0 2.53 97.77 115.94 25 #> 93 2.0 2.25 91.84 82.00 34 #> 94 NaN 1.97 83.31 0.00 3 #> 95 3.3 2.04 80.51 129.83 34 #> 96 1.0 1.60 79.96 49.91 8 #> 97 1.0 2.03 78.61 38.65 1 #> 98 29.0 2.10 77.66 1079.90 9 #> 99 4.0 1.63 75.71 185.57 8 #> 100 1.0 1.59 73.86 46.39 1 #> 101 2.0 1.67 72.86 86.28 25 #> 102 1.0 1.85 72.82 39.36 1 #> 103 4.3 1.75 71.21 177.16 8 #> 104 1.0 1.72 69.43 40.32 1 #> 105 3.0 1.48 67.66 135.87 5 #> 106 1.3 1.30 67.22 65.20 3 #> 107 1.7 1.38 65.32 81.23 34 #> 108 1.0 1.41 63.18 44.68 3 #> 109 10.0 1.35 61.95 459.58 8 #> 110 1.0 1.33 60.04 45.28 3 #> 111 1.0 1.32 59.41 45.01 4 #> 112 15.3 1.30 59.24 699.86 11 #> 113 NaN 1.23 56.53 0.00 1 #> 114 1.0 1.11 50.22 45.24 3 #> 115 2.5 1.08 49.94 115.55 3 #> 116 NaN 0.84 46.38 0.00 3 #> 117 1.0 1.28 46.23 36.06 8 #> 118 1.0 1.00 45.10 45.28 1 #> 119 2.2 1.13 45.05 87.06 38 #> 120 4.2 1.04 43.82 178.38 14 #> 121 1.7 0.86 42.73 81.76 34 #> 122 3.0 0.79 41.11 156.92 8 #> 123 1.0 0.95 40.76 43.09 32 #> 124 1.5 0.92 40.36 64.06 16 #> 125 2.0 0.98 38.98 79.97 2 #> 126 3.0 0.92 36.59 119.95 4 #> 127 25.2 0.92 35.40 979.53 29 #> 128 3.5 0.80 34.83 150.84 7 #> 129 NaN 0.71 34.15 0.00 16 #> 130 14.2 0.73 31.41 616.73 29 #> 131 1.0 0.77 31.05 40.32 1 #> 132 1.0 0.73 29.51 40.32 2 #> 133 1.0 0.65 29.40 47.60 10 #> 134 2.0 0.67 29.24 87.78 14 #> 135 1.0 0.64 28.84 13.00 8 #> 136 NaN 0.70 27.05 0.00 10 #> 137 15.5 0.59 27.03 712.78 9 #> 138 3.0 0.58 26.95 141.65 11 #> 139 4.0 0.55 25.37 183.98 8 #> 140 5.0 0.62 25.21 65.60 10 #> 141 7.8 0.59 24.03 321.68 12 #> 142 2.0 0.52 23.07 88.85 14 #> 143 3.0 0.45 22.58 147.04 8 #> 144 2.0 0.52 22.50 87.36 14 #> 145 2.2 0.57 22.21 87.75 13 #> 146 4.5 0.50 21.98 199.86 4 #> 147 1.7 0.43 19.77 75.99 14 #> 148 2.0 0.44 19.72 89.61 7 #> 149 2.3 0.53 19.20 85.12 4 #> 150 NaN 0.46 19.16 0.00 16 #> 151 5.0 0.45 18.86 210.62 11 #> 152 4.2 0.39 18.43 197.78 7 #> 153 9.5 0.41 18.09 423.45 29 #> 154 1.0 0.32 17.89 55.22 1 #> 155 NaN 0.39 17.84 0.00 16 #> 156 11.0 0.44 17.74 443.51 1 #> 157 NaN 0.32 17.45 0.00 4 #> 158 15.0 0.44 17.40 590.40 5 #> 159 1.5 0.38 17.18 68.03 7 #> 160 2.0 0.43 17.15 80.13 7 #> 161 1.0 0.39 17.04 43.68 1 #> 162 3.5 0.34 15.69 162.66 13 #> 163 NaN 0.36 15.61 0.00 1 #> 164 4.0 0.37 15.33 166.30 14 #> 165 10.5 0.32 14.90 485.17 9 #> 166 8.0 0.31 14.43 367.66 5 #> 167 1.2 0.36 14.39 51.27 10 #> 168 3.0 0.36 14.17 118.08 8 #> 169 1.0 0.37 14.14 38.65 2 #> 170 3.0 0.34 14.08 125.67 8 #> 171 2.0 0.30 13.87 93.74 8 #> 172 4.5 0.34 13.69 183.47 9 #> 173 NaN 0.29 12.78 0.00 10 #> 174 NaN 0.29 12.30 0.00 1 #> 175 1.7 0.28 12.13 73.42 14 #> 176 1.0 0.27 11.85 44.92 8 #> 177 1.0 0.29 11.21 38.65 8 #> 178 1.0 0.27 11.05 40.32 8 #> 179 4.0 0.23 10.66 183.83 1 #> 180 1.0 0.23 10.39 45.96 3 #> 181 1.0 0.22 10.30 46.39 3 #> 182 5.3 0.22 10.09 241.23 9 #> 183 1.0 0.21 9.88 47.04 13 #> 184 1.0 0.22 9.70 43.68 4 #> 185 7.0 0.18 9.42 366.15 9 #> 186 4.0 0.20 9.28 185.57 3 #> 187 7.4 0.21 9.00 313.22 29 #> 188 NaN 0.23 8.89 0.00 1 #> 189 1.0 0.21 8.69 38.61 3 #> 190 NaN 0.20 8.63 0.00 4 #> 191 1.0 0.24 8.48 35.33 1 #> 192 1.0 0.24 8.48 35.33 1 #> 193 5.0 0.19 8.45 227.07 3 #> 194 5.0 0.18 8.18 229.79 8 #> 195 1.0 0.18 8.05 45.24 3 #> 196 2.0 0.17 8.05 88.81 9 #> 197 1.0 0.20 7.98 40.32 3 #> 198 3.0 0.17 7.72 137.87 2 #> 199 11.0 0.17 7.72 505.53 5 #> 200 9.0 0.18 7.38 364.80 9 #> 201 NaN 0.16 7.19 0.00 1 #> 202 5.0 0.16 7.17 229.79 7 #> 203 8.0 0.17 7.16 341.10 9 #> 204 1.0 0.18 7.13 40.07 9 #> 205 1.0 0.17 7.07 42.81 13 #> 206 2.0 0.14 6.73 92.79 13 #> 207 2.0 0.16 6.54 84.35 14 #> 208 5.0 0.16 6.29 201.60 1 #> 209 4.0 0.14 6.25 183.83 1 #> 210 13.0 0.14 6.23 578.66 2 #> 211 1.0 0.15 6.19 40.75 4 #> 212 NaN 0.14 6.19 0.00 4 #> 213 2.5 0.15 6.15 106.36 5 #> 214 1.0 0.15 6.12 41.89 1 #> 215 3.0 0.16 6.10 116.07 3 #> 216 NaN 0.13 5.90 0.00 8 #> 217 5.3 0.14 5.88 224.81 8 #> 218 1.0 0.13 5.88 44.51 4 #> 219 NaN 0.13 5.73 0.00 10 #> 220 1.0 0.14 5.48 40.32 1 #> 221 4.0 0.13 5.27 167.41 14 #> 222 2.5 0.14 5.16 93.04 8 #> 223 2.0 0.11 4.59 87.54 7 #> 224 2.0 0.10 4.59 88.19 7 #> 225 1.0 0.10 4.36 21.49 8 #> 226 2.0 0.10 4.19 80.64 1 #> 227 2.0 0.09 4.18 46.39 8 #> 228 1.0 0.08 4.06 48.39 3 #> 229 1.6 0.08 4.05 80.41 8 #> 230 2.0 0.09 3.94 92.79 1 #> 231 1.0 0.11 3.89 36.06 8 #> 232 NaN 0.07 3.87 0.00 4 #> 233 3.0 0.10 3.86 119.53 5 #> 234 1.0 0.08 3.83 45.02 9 #> 235 3.0 0.08 3.75 133.53 2 #> 236 1.2 0.09 3.73 51.53 12 #> 237 NaN 0.08 3.68 0.00 4 #> 238 2.0 0.09 3.60 79.07 5 #> 239 4.5 0.08 3.58 186.53 5 #> 240 1.0 0.09 3.53 40.07 3 #> 241 2.8 0.09 3.51 113.09 9 #> 242 2.0 0.08 3.45 86.17 3 #> 243 NaN 0.08 3.39 0.00 2 #> 244 NaN 0.08 3.37 0.00 1 #> 245 1.0 0.07 3.34 46.39 12 #> 246 1.0 0.07 3.29 47.04 10 #> 247 1.0 0.08 3.27 41.89 8 #> 248 2.0 0.07 3.24 90.96 8 #> 249 3.0 0.08 3.22 124.96 4 #> 250 NaN 0.07 3.12 0.00 2 #> 251 1.0 0.07 3.09 46.87 3 #> 252 1.0 0.06 2.93 52.31 12 #> 253 1.0 0.06 2.90 48.39 2 #> 254 2.0 0.07 2.88 87.35 7 #> 255 1.5 0.06 2.73 69.37 3 #> 256 1.0 0.06 2.70 43.62 2 #> 257 2.0 0.06 2.67 86.17 29 #> 258 3.0 0.06 2.67 133.54 3 #> 259 1.0 0.06 2.67 45.96 1 #> 260 2.0 0.06 2.67 91.92 4 #> 261 1.0 0.06 2.63 45.41 3 #> 262 2.0 0.06 2.55 92.79 1 #> 263 1.0 0.06 2.45 44.51 5 #> 264 1.0 0.06 2.44 40.62 5 #> 265 1.5 0.06 2.42 59.49 7 #> 266 1.0 0.06 2.41 43.09 13 #> 267 1.5 0.06 2.41 62.24 4 #> 268 1.0 0.05 2.26 41.89 1 #> 269 2.0 0.05 2.26 83.78 1 #> 270 NaN 0.05 2.20 0.00 3 #> 271 6.8 0.05 2.20 294.84 14 #> 272 1.0 0.05 2.18 40.32 2 #> 273 1.0 0.05 2.14 44.51 5 #> 274 2.0 0.04 2.10 99.82 9 #> 275 NaN 0.04 2.00 0.00 1 #> 276 11.8 0.05 1.97 496.44 14 #> 277 2.0 0.04 1.96 90.96 10 #> 278 NaN 0.04 1.93 0.00 3 #> 279 2.0 0.04 1.75 91.92 9 #> 280 1.0 0.04 1.74 48.39 3 #> 281 2.5 0.04 1.71 112.19 7 #> 282 1.0 0.04 1.69 39.97 5 #> 283 1.0 0.04 1.69 46.87 5 #> 284 2.8 0.04 1.66 115.62 10 #> 285 1.0 0.04 1.65 39.36 2 #> 286 1.0 0.03 1.65 48.39 4 #> 287 4.0 0.03 1.60 199.65 14 #> 288 2.0 0.04 1.57 88.61 5 #> 289 1.0 0.03 1.56 45.96 1 #> 290 1.0 0.04 1.51 41.89 4 #> 291 1.0 0.04 1.47 40.75 3 #> 292 1.0 0.03 1.41 41.59 10 #> 293 2.0 0.03 1.40 99.82 1 #> 294 1.0 0.03 1.34 39.36 2 #> 295 1.0 0.03 1.24 42.35 9 #> 296 1.0 0.03 1.24 44.19 9 #> 297 1.0 0.03 1.23 44.09 5 #> 298 2.0 0.03 1.22 93.74 7 #> 299 1.0 0.03 1.22 46.87 1 #> 300 4.0 0.03 1.17 90.01 3 #> 301 1.0 0.03 1.14 45.62 3 #> 302 1.0 0.03 1.13 43.62 3 #> 303 1.0 0.02 1.11 46.39 5 #> 304 1.0 0.02 0.96 43.62 8 #> 305 1.0 0.02 0.94 46.87 4 #> 306 1.0 0.02 0.94 46.87 4 #> 307 2.0 0.02 0.89 80.64 5 #> 308 3.0 0.02 0.87 145.17 3 #> 309 NaN 0.02 0.85 0.00 3 #> 310 1.0 0.02 0.85 44.36 9 #> 311 NaN 0.02 0.81 0.00 3 #> 312 1.0 0.02 0.75 46.62 3 #> 313 1.0 0.02 0.74 45.96 1 #> 314 1.0 0.02 0.73 40.32 1 #> 315 3.0 0.01 0.69 133.87 14 #> 316 1.0 0.01 0.67 44.51 9 #> 317 1.0 0.01 0.67 44.51 1 #> 318 1.0 0.01 0.67 46.18 7 #> 319 1.5 0.02 0.66 59.88 9 #> 320 1.0 0.02 0.65 40.75 7 #> 321 NaN 0.01 0.64 0.00 1 #> 322 1.0 0.01 0.63 45.24 1 #> 323 NaN 0.01 0.54 0.00 8 #> 324 NaN 0.01 0.54 0.00 16 #> 325 1.0 0.01 0.54 44.68 1 #> 326 1.0 0.01 0.48 48.39 2 #> 327 1.0 0.01 0.47 39.36 1 #> 328 1.0 0.01 0.47 46.87 1 #> 329 2.0 0.01 0.46 91.92 2 #> 330 1.0 0.01 0.45 44.51 1 #> 331 1.0 0.01 0.45 44.51 5 #> 332 2.0 0.01 0.45 89.02 1 #> 333 1.0 0.01 0.45 44.51 1 #> 334 1.0 0.01 0.43 42.64 10 #> 335 1.0 0.01 0.42 41.89 5 #> 336 1.0 0.01 0.35 44.01 9 #> 337 1.0 0.01 0.34 41.89 1 #> 338 1.0 0.01 0.33 55.22 1 #> 339 1.0 0.01 0.33 40.75 2 #> 340 1.0 0.01 0.32 40.32 1 #> 341 1.0 0.01 0.32 40.07 1 #> 342 2.0 0.01 0.28 91.92 1 #> 343 1.0 0.01 0.25 41.85 1 #> 344 1.0 0.01 0.24 40.32 2 #> 345 1.0 0.00 0.22 44.51 1 #> 346 1.0 0.00 0.22 44.51 2 #> 347 1.0 0.00 0.22 43.68 1 #> 348 1.0 0.00 0.18 44.01 1 #> 349 1.0 0.00 0.17 42.97 1 #> 350 1.0 0.00 0.17 41.85 1 #> 351 1.0 0.00 0.16 40.07 1 #> 352 1.0 0.00 0.13 20.16 2 #> 353 NaN 0.00 0.10 0.00 2 #> 354 1.0 0.00 0.09 46.87 1 #> 355 1.0 0.00 0.09 45.96 3 #> 356 1.0 0.00 0.09 45.96 14 #> 357 1.0 0.00 0.09 45.96 2 #> 358 NaN 0.00 0.09 0.00 2 #> 359 1.0 0.00 0.09 42.64 1 #> 360 NaN 0.00 0.08 0.00 3 #> 361 1.0 0.00 0.08 40.32 2 #> 362 1.0 0.00 0.08 40.32 2 #> 363 3.0 0.00 0.08 120.96 1 #> 364 1.0 0.00 0.08 40.32 1 #> 365 1.0 0.00 0.08 39.36 1 #> 366 1.0 0.00 0.07 36.06 2 #> 367 NaN 0.00 0.04 0.00 2 #> 368 1.0 0.00 0.04 38.65 2 #> #> $haul #> year station haul stratum vessel_name date_time #> 1 2000 320-74 9 721 DOMINATOR 2000-05-21 15:00:00 #> 2 2000 321-74 10 721 DOMINATOR 2000-05-21 16:35:35 #> 3 2000 321-74 10 721 VESTERAALEN 2000-05-22 07:38:55 #> 4 2000 324-73 6 721 VESTERAALEN 2000-05-21 07:36:15 #> 5 2000 326-76 7 722 DOMINATOR 2000-05-21 09:59:38 #> 6 2002 320-73 27 721 VESTERAALEN 2002-05-23 14:57:45 #> 7 2002 320-74 28 721 VESTERAALEN 2002-05-23 15:53:07 #> 8 2002 321-74 23 721 VESTERAALEN 2002-05-22 12:37:05 #> 9 2002 324-73 16 721 VESTERAALEN 2002-05-20 08:47:20 #> 10 2004 320-73 6 721 GLADIATOR 2004-06-08 07:16:35 #> 11 2004 320-74 7 721 SEA STORM 2004-06-08 12:14:10 #> 12 2004 321-74 1 721 GLADIATOR 2004-06-06 14:06:11 #> 13 2004 324-73 5 721 GLADIATOR 2004-06-07 17:09:12 #> 14 2004 326-76 4 721 SEA STORM 2004-06-07 17:51:19 #> 15 2006 320-74 7 722 GLADIATOR 2006-06-07 14:18:43 #> 16 2006 321-74 7 721 SEA STORM 2006-06-08 09:39:09 #> 17 2006 324-73 6 721 SEA STORM 2006-06-08 07:12:11 #> 18 2006 325-76 5 721 SEA STORM 2006-06-07 16:25:03 #> 19 2010 320-73 5 721 OCEAN EXPLORER 2010-06-10 13:05:42 #> 20 2010 324-73 3 721 OCEAN EXPLORER 2010-06-10 07:12:59 #> 21 2010 325-76 7 721 SEA STORM 2010-06-11 10:47:39 #> 22 2010 326-76 4 721 SEA STORM 2010-06-10 14:47:59 #> 23 2010 326-76 3 722 SEA STORM 2010-06-10 11:11:17 #> 24 2012 320-73 7 721 OCEAN EXPLORER 2012-06-10 07:03:03 #> 25 2012 320-74 7 722 SEA STORM 2012-06-09 08:11:36 #> 26 2012 320-74 1 721 SEA STORM 2012-06-08 07:27:27 #> 27 2012 321-74 6 721 OCEAN EXPLORER 2012-06-09 16:34:38 #> 28 2012 326-76 1 722 OCEAN EXPLORER 2012-06-09 07:10:55 #> 29 2012 326-76 4 721 SEA STORM 2012-06-08 14:16:40 #> 30 2014 320-74 6 721 SEA STORM 2014-06-12 13:26:56 #> 31 2014 320-74 3 722 SEA STORM 2014-06-11 16:00:45 #> 32 2014 321-74 1 721 ALASKA PROVIDER 2014-06-11 17:40:03 #> 33 2014 326-76 5 722 ALASKA PROVIDER 2014-06-12 14:34:14 #> 34 2016 320-73 3 721 ALASKA PROVIDER 2016-06-07 15:15:11 #> 35 2016 320-74 7 722 SEA STORM 2016-06-08 09:23:26 #> 36 2016 320-74 5 721 SEA STORM 2016-06-07 18:04:38 #> 37 2016 324-73 4 721 SEA STORM 2016-06-07 16:05:45 #> 38 2018 320-73 10 721 SEA STORM 2018-06-11 17:28:48 #> 39 2018 320-74 9 722 SEA STORM 2018-06-11 15:08:22 #> 40 2018 324-73 1 721 OCEAN EXPLORER 2018-06-09 07:27:06 #> 41 2018 325-76 2 721 OCEAN EXPLORER 2018-06-09 11:58:02 #> 42 2022 324-73 6 721 OCEAN EXPLORER 2022-06-11 08:10:18 #> 43 2022 326-76 5 722 OCEAN EXPLORER 2022-06-10 15:59:58 #> latitude_dd_start longitude_dd_start bottom_temperature_c #> 1 54.22348 -166.0363 4.3 #> 2 54.23911 -165.9106 4.3 #> 3 54.25416 -165.9284 4.2 #> 4 54.20465 -165.7477 4.2 #> 5 54.35204 -165.5665 4.2 #> 6 54.21785 -166.0437 4.3 #> 7 54.23024 -166.0035 4.5 #> 8 54.24220 -165.9348 4.7 #> 9 54.20549 -165.7466 4.5 #> 10 54.20921 -166.0613 5.2 #> 11 54.23151 -165.9993 5.2 #> 12 54.25199 -165.9398 5.0 #> 13 54.20250 -165.7467 5.2 #> 14 54.34954 -165.6114 4.4 #> 15 54.25761 -165.9996 4.1 #> 16 54.25770 -165.9099 5.1 #> 17 54.21174 -165.7529 4.9 #> 18 54.34783 -165.6215 4.6 #> 19 54.21217 -166.0394 4.7 #> 20 54.19405 -165.7223 4.7 #> 21 54.34708 -165.6544 4.1 #> 22 54.33688 -165.5711 4.2 #> 23 54.34305 -165.5495 4.2 #> 24 54.21403 -166.0355 4.1 #> 25 54.24643 -166.0219 3.7 #> 26 54.24227 -165.9876 4.0 #> 27 54.24130 -165.9455 4.1 #> 28 54.34417 -165.5489 3.7 #> 29 54.33457 -165.5654 3.7 #> 30 54.21945 -166.0375 5.0 #> 31 54.24728 -166.0211 4.5 #> 32 54.23909 -165.9084 5.7 #> 33 54.34741 -165.5540 4.4 #> 34 54.20566 -166.0491 6.3 #> 35 54.25784 -166.0004 6.2 #> 36 54.22642 -166.0167 6.4 #> 37 54.21666 -165.7556 6.4 #> 38 54.21682 -166.0323 5.6 #> 39 54.24662 -166.0222 4.5 #> 40 54.21011 -165.7440 5.3 #> 41 54.35293 -165.5989 5.0 #> 42 54.21109 -165.7537 5.3 #> 43 54.34763 -165.5462 4.7 #> surface_temperature_c depth_m distance_fished_km net_width_m net_height_m #> 1 4.8 77 1.637 15.623 7.026 #> 2 4.9 61 1.549 15.021 7.625 #> 3 4.1 92 1.537 16.016 7.000 #> 4 4.1 93 1.491 16.740 6.783 #> 5 4.9 115 1.353 14.808 7.361 #> 6 4.8 82 1.442 13.258 8.361 #> 7 5.0 71 1.438 14.918 7.530 #> 8 4.8 62 1.454 15.190 7.503 #> 9 5.2 93 1.425 16.331 7.773 #> 10 5.8 82 1.491 15.010 7.998 #> 11 5.6 71 1.448 15.475 7.723 #> 12 5.4 89 1.807 15.348 NA #> 13 6.6 91 1.578 16.398 7.396 #> 14 6.1 83 1.257 14.408 8.502 #> 15 5.5 109 1.454 15.565 6.925 #> 16 5.4 90 1.425 14.972 7.218 #> 17 6.4 92 1.473 16.206 5.371 #> 18 6.1 85 1.408 15.454 6.992 #> 19 4.9 61 1.487 15.280 7.434 #> 20 5.2 92 1.530 15.329 7.384 #> 21 4.9 86 1.364 17.091 6.945 #> 22 5.2 89 1.441 15.889 6.640 #> 23 5.2 108 1.463 15.670 6.639 #> 24 4.2 60 1.615 14.175 7.906 #> 25 4.3 109 1.426 15.822 6.996 #> 26 4.6 95 1.498 14.431 7.739 #> 27 4.3 62 1.573 14.420 7.494 #> 28 4.0 112 1.575 14.264 7.755 #> 29 4.2 96 1.436 14.805 7.375 #> 30 6.4 73 1.501 14.725 6.267 #> 31 6.4 110 1.543 16.074 6.041 #> 32 6.3 69 1.578 15.142 7.007 #> 33 6.3 122 1.277 16.183 6.198 #> 34 7.1 61 1.526 15.209 5.907 #> 35 6.9 110 1.441 15.281 7.178 #> 36 7.4 74 1.515 14.666 7.647 #> 37 7.6 93 1.436 17.091 6.704 #> 38 5.8 63 1.436 15.560 6.568 #> 39 7.0 109 1.451 17.671 6.146 #> 40 NA 96 1.549 16.402 4.755 #> 41 6.2 83 1.321 16.317 5.575 #> 42 6.2 91 1.438 19.682 5.069 #> 43 6.0 129 1.508 16.585 5.643 #> area_swept_km2 duration_hr total_weight_kg #> 1 0.025575 0.280 134.04 #> 2 0.023268 0.280 331.83 #> 3 0.024617 0.280 331.83 #> 4 0.024959 0.270 1014.23 #> 5 0.020035 0.290 980.33 #> 6 0.019118 0.260 77.91 #> 7 0.021452 0.260 217.12 #> 8 0.022086 0.260 4055.00 #> 9 0.023272 0.290 183.04 #> 10 0.022380 0.270 270.23 #> 11 0.022408 0.270 538.84 #> 12 0.027734 0.350 339.77 #> 13 0.025876 0.280 988.46 #> 14 0.018111 0.230 11793.00 #> 15 0.022632 0.277 541.80 #> 16 0.021335 0.264 268.14 #> 17 0.023871 0.270 401.73 #> 18 0.021759 0.262 577.60 #> 19 0.022721 0.269 407.52 #> 20 0.023453 0.286 434.93 #> 21 0.023312 0.248 3038.58 #> 22 0.022896 0.261 3475.82 #> 23 0.022925 0.262 3475.82 #> 24 0.022893 0.289 101.15 #> 25 0.022562 0.267 89.89 #> 26 0.021618 0.274 89.89 #> 27 0.022683 0.286 496.86 #> 28 0.022466 0.282 189.13 #> 29 0.021260 0.269 189.13 #> 30 0.022102 0.278 872.01 #> 31 0.024802 0.279 872.01 #> 32 0.023894 0.289 252.24 #> 33 0.020666 0.250 131.01 #> 34 0.023209 0.272 590.05 #> 35 0.022020 0.265 410.23 #> 36 0.022219 0.274 410.23 #> 37 0.024543 0.269 111.26 #> 38 0.022344 0.294 32.12 #> 39 0.025641 0.269 867.17 #> 40 0.025407 0.274 571.17 #> 41 0.021555 0.239 1735.27 #> 42 0.028303 0.258 1017.75 #> 43 0.025010 0.274 941.97 #> ## for default 10 years and nearby stations for Bering Flounder (0 results returned!) --- get_catch_haul_history( survey = \"AI\", species_codes = 10140, # Bering flounder which would be VERY unlikely to be found years = NA, # default station = \"324-73\", grid_buffer = 3) #> [1] \"Your quiery returned 0 results.\""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/get_sunrise_sunset.html","id":null,"dir":"Reference","previous_headings":"","what":"Get sunrise and sunset times by day, latitude, and longitude — get_sunrise_sunset","title":"Get sunrise and sunset times by day, latitude, and longitude — get_sunrise_sunset","text":"Get sunrise sunset times day, latitude, longitude","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/get_sunrise_sunset.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get sunrise and sunset times by day, latitude, and longitude — get_sunrise_sunset","text":"","code":"get_sunrise_sunset( chosen_date, latitude = NULL, longitude = NULL, survey = NULL, station = NULL, verbose = FALSE, timezone = \"US/Alaska\" )"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/get_sunrise_sunset.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get sunrise and sunset times by day, latitude, and longitude — get_sunrise_sunset","text":"chosen_date Date charater. Formatted \"YYYY-MM-DD\" latitude Numeric. Fill survey station entered. latitude either decimal degrees character latitude degrees decimal minutes longitude Numeric. Fill survey station entered. Longitude either decimal degrees character longitude degrees decimal minutes survey Character. Fill latitude longitude entered. character string survey interested reivewing. Options public_data$survey, \"AI\", \"GOA\", \"EBS\", \"NBS\", \"BSS\". station Character. Fill latitude longitude entered. character string current station name (grid cell; e.g., \"264-85\"). Stations defined station_coords dataset. verbose Logical. Default = FALSE. like readout file looks like console, set TRUE. timezone Character. Default = \"US/Alaska.\" options include: \"US/Aleutian\"","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/get_sunrise_sunset.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get sunrise and sunset times by day, latitude, and longitude — get_sunrise_sunset","text":"Time sunrise sunset text. Also shows pop-sunrise sunset times.","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/get_sunrise_sunset.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get sunrise and sunset times by day, latitude, and longitude — get_sunrise_sunset","text":"","code":"# Find times based on lat/lon for today's date, where date is a date object get_sunrise_sunset(chosen_date = Sys.Date(), latitude = 63.3, longitude = -170.5) #> Using latitude and longitude to calcualte sunrise and sunset. #> Sunrise is at 2024-04-06 08:22:00 AKDT #> Sunset is at 2024-04-05 22:25:00 AKDT # Find times based on lat/lon for today's date, where date is a character get_sunrise_sunset(chosen_date = \"2023-06-05\", latitude = 63.3, longitude = -170.5) #> Using latitude and longitude to calcualte sunrise and sunset. #> Sunrise is at 2023-06-05 05:23:00 AKDT #> Sunset is at 2023-06-05 01:17:00 AKDT # Find times based on lat/lon for today's date, where date is a character # and lat/lon in degree decimal-minutes get_sunrise_sunset(chosen_date = \"2023-06-05\", latitude = \"63 18.0\", longitude = \"-170 30.0\") #> Using latitude and longitude to calcualte sunrise and sunset. #> Sunrise is at 2023-06-05 05:19:00 AKDT #> Sunset is at 2023-06-05 01:13:00 AKDT # Find times based on a survey (EBS) station's recorded lat/lon for today's date get_sunrise_sunset(chosen_date = Sys.Date(), survey = \"EBS\", station = \"I-13\") #> Using survey station (EBS I-13) centroid location information (lat = 57.667, lon = -160.23) to calculate sunrise and sunset. #> Sunrise is at 2024-04-06 07:54:00 AKDT #> Sunset is at 2024-04-05 21:32:00 AKDT # Find times based on a survey (GOA) station's recorded lat/lon for today's date get_sunrise_sunset(chosen_date = Sys.Date(), survey = \"GOA\", station = \"323-176\") #> Using survey station (GOA 323-176) centroid location information (lat = 60.052, lon = -143.311) to calculate sunrise and sunset. #> Sunrise is at 2024-04-06 06:41:00 AKDT #> Sunset is at 2024-04-05 20:29:00 AKDT # Find times based on a survey (AI) station's recorded lat/lon for today's date get_sunrise_sunset(chosen_date = \"2023-06-10\", survey = \"AI\", station = \"33-47\") #> Using survey station (AI 33-47) centroid location information (lat = 53.013, lon = 172.407) to calculate sunrise and sunset. #> Sunrise is at 2023-06-10 08:05:00 AKDT #> Sunset is at 2023-06-10 00:54:00 AKDT"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/hex_to_cnv.html","id":null,"dir":"Reference","previous_headings":"","what":"Convert SBE19plus V2 hex files to cnv — hex_to_cnv","title":"Convert SBE19plus V2 hex files to cnv — hex_to_cnv","text":"function decodes hexadecimal-formatted Sea-Bird CTD files cnv files.","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/hex_to_cnv.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Convert SBE19plus V2 hex files to cnv — hex_to_cnv","text":"","code":"hex_to_cnv( hex_path, output_path, xmlcon_path = NULL, sample_interval = 0.25, output_channels = NULL, output_sig_digits = NULL )"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/hex_to_cnv.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Convert SBE19plus V2 hex files to cnv — hex_to_cnv","text":"hex_path Path .hex file output_path Path output file location .cnv file xmlcon_path Optional. Path config file. Must provided .hex file contain configuration file parameters. sample_interval Sampling interval scans; 0.25 typical SBE19plus V2 deployment. output_channels Optional. Named vector output channels names. use unless outputs defaults. output_sig_digits Optional. Significant digits decimal place output channels. change subset channels. use unless outputs defaults.","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/hex_to_cnv.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Convert SBE19plus V2 hex files to cnv — hex_to_cnv","text":"Sean Rohan","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/integer_to_conductivity.html","id":null,"dir":"Reference","previous_headings":"","what":"Convert SBE integer to conductivity — integer_to_conductivity","title":"Convert SBE integer to conductivity — integer_to_conductivity","text":"Convert SBE integer conductivity","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/integer_to_conductivity.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Convert SBE integer to conductivity — integer_to_conductivity","text":"","code":"integer_to_conductivity( conductivity_integer, temperature, pressure, condg, condh, condi, condj, cpcor, ctcor, par0 = 256, par1 = 1000, sig_figs = 6 )"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/integer_to_conductivity.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Convert SBE integer to conductivity — integer_to_conductivity","text":"conductivity_integer Conductivity voltage integer temperature Temperature degrees C pressure Presssure degrees C condg Conductivity calibration parameter condg condh Conductivity calibration parameter condh condi Conductivity calibration parameter condi condj Conductivity calibration parameter condj cpcor Conductivity calibration parameter cpcor ctcor Conductivity calibration parameter ctcor par0 Constant convert integer voltage par1 Constant convert integer voltage sig_figs number significant digits use conductivity (default = 6)","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/integer_to_conductivity.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Convert SBE integer to conductivity — integer_to_conductivity","text":"Sean Rohan","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/integer_to_ph.html","id":null,"dir":"Reference","previous_headings":"","what":"Convert SBE integer to pH — integer_to_ph","title":"Convert SBE integer to pH — integer_to_ph","text":"Convert SBE integer pH","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/integer_to_ph.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Convert SBE integer to pH — integer_to_ph","text":"","code":"integer_to_ph( ph_integer, ph_offset, ph_slope, temperature, sig_figs = 3, par0 = 13107 )"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/integer_to_ph.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Convert SBE integer to pH — integer_to_ph","text":"ph_integer pH voltage integer ph_offset pH calibration parameter offset ph_slope pH calibration parameter slope temperature temperature degrees C sig_figs number significant digits use conductivity (default = 3) par0 ph_integer conversion constant","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/integer_to_ph.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Convert SBE integer to pH — integer_to_ph","text":"Sean Rohan","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/integer_to_pressure.html","id":null,"dir":"Reference","previous_headings":"","what":"Convert SBE integer to pressure — integer_to_pressure","title":"Convert SBE integer to pressure — integer_to_pressure","text":"Convert SBE integer pressure","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/integer_to_pressure.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Convert SBE integer to pressure — integer_to_pressure","text":"","code":"integer_to_pressure( pressure_integer, tvoltage_integer, ptempa0, ptempa1, ptempa2, ptca0, ptca1, ptca2, ptcb0, ptcb1, ptcb2, pa0, pa1, pa2, par0 = 13107, sig_figs = 3, convert_to_dbar = TRUE )"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/integer_to_pressure.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Convert SBE integer to pressure — integer_to_pressure","text":"pressure_integer Pressure voltage integer tvoltage_integer Temperature voltage integer ptempa0 Pressure calibration parameter ptempa0 ptempa1 Pressure calibration parameter ptempa1 ptempa2 Pressure calibration parameter ptempa2 ptca0 Pressure calibration parameter ptca0 ptca1 Pressure calibration parameter ptca1 ptca2 Pressure calibration parameter ptca2 ptcb0 Pressure calibration parameter ptcb0 ptcb1 Pressure calibration parameter ptcb1 ptcb2 Pressure calibration parameter ptcb2 pa0 Pressure calibration parameter pa0 pa1 Pressure calibration parameter pa1 pa2 Pressure calibration parameter pa2 par0 tvoltage_integer conversion constant sig_figs number significant digits use temperature (default = 3) convert_to_dbar pressure returned decibars (TRUE) pounds per square inch without offset (FALSE)","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/integer_to_pressure.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Convert SBE integer to pressure — integer_to_pressure","text":"Sean Rohan","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/integer_to_temperature.html","id":null,"dir":"Reference","previous_headings":"","what":"Convert SBE integer to ITS-90 temperature — integer_to_temperature","title":"Convert SBE integer to ITS-90 temperature — integer_to_temperature","text":"Convert SBE integer -90 temperature","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/integer_to_temperature.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Convert SBE integer to ITS-90 temperature — integer_to_temperature","text":"","code":"integer_to_temperature( temperature_integer, sig_figs = NULL, a0, a1, a2, a3, offset = 0, par0 = 524288, par1 = 1.6e+07, par2 = 2.9e+09, par3 = 102400000, par4 = 20480, par5 = 2e+05 )"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/integer_to_temperature.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Convert SBE integer to ITS-90 temperature — integer_to_temperature","text":"temperature_integer Temperature voltage integer sig_figs number significant digits use temperature a0 Temperature calibration parameter a0 a1 Temperature Calibration parameter a1 a2 Temperature calibration parameter a2 a3 Temperature calibration parameter a3 offset Temperature calibration parameter offset par0 Temperature calibration parameter par0 par1 Temperature calibration parameter par1 par2 Temperature calibration parameter par2 par3 Temperature calibration parameter par3 par4 Temperature calibration parameter par4 par5 Temperature calibration parameter par5","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/integer_to_temperature.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Convert SBE integer to ITS-90 temperature — integer_to_temperature","text":"Sean Rohan","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/numbers0.html","id":null,"dir":"Reference","previous_headings":"","what":"Make numbers the same length preceeded by 0s — numbers0","title":"Make numbers the same length preceeded by 0s — numbers0","text":"Make numbers length preceeded 0s","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/numbers0.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Make numbers the same length preceeded by 0s — numbers0","text":"","code":"numbers0(x, number_places = NA)"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/numbers0.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Make numbers the same length preceeded by 0s — numbers0","text":"x single vector values need converted something like 1 \"001\" number_places default = NA. equal NA, function take use longest length value provided x (example 1). equal number, make sure every number length number_places (example 2) larger (value x places number_places(example 3)).","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/numbers0.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Make numbers the same length preceeded by 0s — numbers0","text":"string values x preceeded \"0\"s","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/numbers0.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Make numbers the same length preceeded by 0s — numbers0","text":"","code":"# example 1 numbers0(x = c(1,11,111)) #> [1] \"001\" \"011\" \"111\" # example 2 numbers0(x = c(1,11,111), number_places = 4) #> [1] \"0001\" \"0011\" \"0111\" # example 3 numbers0(x = c(1,11,111), number_places = 2) #> [1] \"01\" \"11\" \"111\""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/oxygen_saturation.html","id":null,"dir":"Reference","previous_headings":"","what":"Calculate oxygen saturation (ml/l) — oxygen_saturation","title":"Calculate oxygen saturation (ml/l) — oxygen_saturation","text":"Calculate oxygen saturation function temperature salinity based oxygen solubility Garcia Gordon (1992).","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/oxygen_saturation.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calculate oxygen saturation (ml/l) — oxygen_saturation","text":"","code":"oxygen_saturation(temperature, salinity)"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/oxygen_saturation.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calculate oxygen saturation (ml/l) — oxygen_saturation","text":"temperature Temperature (degrees Celsius). salinity Salinity (PSU, PSS-78).","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/oxygen_saturation.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Calculate oxygen saturation (ml/l) — oxygen_saturation","text":"Garcia, H.E., Gordon, L.., 1992. Oxygen solubility seawater: Better fitting equations. Limnol. Oceanogr. 37, 1307–1312. https://doi.org/10.4319/lo.1992.37.6.1307","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/oxygen_saturation.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Calculate oxygen saturation (ml/l) — oxygen_saturation","text":"Sean Rohan","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/PolySpecies.html","id":null,"dir":"Reference","previous_headings":"","what":"PolySpecies Data Set — PolySpecies","title":"PolySpecies Data Set — PolySpecies","text":"polynumbers","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/PolySpecies.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"PolySpecies Data Set — PolySpecies","text":"","code":"data(PolySpecies)"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/PolySpecies.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"PolySpecies Data Set — PolySpecies","text":"data frame 172 rows 4 variables: SPECIES_CODE integer Species code POLY_SPECIES_CODE integer Poly species code SPECIES_NAME character Species scientific latin name COMMON_NAME character Species common names","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/PolySpecies.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"PolySpecies Data Set — PolySpecies","text":"DETAILS","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/PolySpecies.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"PolySpecies Data Set — PolySpecies","text":"Jason Conner (jason.conner noaa.gov)","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/PolySpecies.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"PolySpecies Data Set — PolySpecies","text":"","code":"data(PolySpecies)"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/public_data.html","id":null,"dir":"Reference","previous_headings":"","what":"Presence-only public data from FOSS — public_data","title":"Presence-only public data from FOSS — public_data","text":"Presence-public data FOSS","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/public_data.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Presence-only public data from FOSS — public_data","text":"","code":"data('public_data')"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/public_data.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Presence-only public data from FOSS — public_data","text":"data frame 939197 observations following 37 variables. area_swept_km2 Area swept (km). area net covered net fishing (kilometers squared), defined distance fished times net width. bottom_temperature_c Bottom temperature (degrees Celsius). Bottom temperature (tenths degree Celsius); NA indicates removed missing values. common_name Taxon common name. common name marine organism associated 'scientific_name' 'species_code' columns. complete species list, review [code books](https://www.fisheries.noaa.gov/resource/document/groundfish-survey-species-code-manual--data-codes-manual). count Taxon count. Total whole number individuals caught haul samples collected. cpue_kgkm2 Weight CPUE (kg/km2). Catch weight (kilograms) per unit effort (area swept net, units square kilometers). cpue_nokm2 Number CPUE (/km2). Numerical catch per unit effort (area swept net, units square kilometers). cruise Cruise Name. six-digit integer identifying cruise number form: YYYY99 (YYYY = year cruise; 99 = 2-digit number sequential; 01 denotes first cruise vessel made year, 02 second, etc.). cruisejoin Cruise ID. Unique integer ID assigned survey, vessel, year combination. net_height_m Net height (m). Measured estimated distance (meters) footrope headrope trawl. net_width_m Net width (m). Measured estimated distance (meters) wingtips trawl. performance Haul performance code. denotes , , issues arose haul. information, review [code books](https://www.fisheries.noaa.gov/resource/document/groundfish-survey-species-code-manual--data-codes-manual). scientific_name Taxon scientific name. scientific name organism associated 'common_name' 'species_code' columns. complete taxon list, review [code books](https://www.fisheries.noaa.gov/resource/document/groundfish-survey-species-code-manual--data-codes-manual). species_code Taxon code. species code organism associated 'common_name' 'scientific_name' columns. complete species list, review [code books](https://www.fisheries.noaa.gov/resource/document/groundfish-survey-species-code-manual--data-codes-manual). srvy Survey abbreviation. Abbreviated survey names. column 'srvy' associated 'survey' 'survey_definition_id' columns. Northern Bering Sea (NBS), Southeastern Bering Sea (EBS), Bering Sea Slope (BSS), Gulf Alaska (GOA), Aleutian Islands (AI). station Station ID. Alpha-numeric designation station established design survey. stratum Stratum ID. RACE database statistical area analyzing data. Strata designed using bathymetry geographic habitat-related elements. strata unique survey region. Stratum value 0 indicates experimental tows. surface_temperature_c Surface temperature (degrees Celsius). Surface temperature (tenths degree Celsius); NA indicates removed missing values. survey Survey name. Name description survey. column 'survey' associated 'srvy' 'survey_definition_id' columns. survey_definition_id Survey ID. survey definition ID key code uniquely identifies survey/survey design. Integer code uniquely identifies survey. Full list survey definition IDs RACE_DATA.SURVEY_DEFINITIONS. IDs used GAP_PRODUCTS : 47 (Gulf Alaska); 52 (Aleutian Islands); 78 (Bering Sea Slope); 98 (Eastern Bering Sea Shelf); 143 (Northern Bering Sea Shelf). column 'survey_definition_id' associated 'srvy' 'survey' columns. complete list surveys, review [code books](https://www.fisheries.noaa.gov/resource/document/groundfish-survey-species-code-manual--data-codes-manual). taxon_confidence Taxon confidence rating. Confidence ability survey team correctly identify taxon specified level, based solely identification skill (e.g., likelihood taxon caught station location--location basis). Quality codes follow: **'High'**: High confidence consistency. Taxonomy stable reliable level, field identification characteristics well known reliable. **'Moderate'**: Moderate confidence. Taxonomy may questionable level, field identification characteristics may variable difficult assess consistently. **'Low'**: Low confidence. Taxonomy incompletely known, reliable field identification characteristics unknown. Documentation: [Species identification confidence eastern Bering Sea shelf survey (1982-2008)](http://apps-afsc.fisheries.noaa.gov/Publications/ProcRpt/PR2009-04.pdf), [Species identification confidence eastern Bering Sea slope survey (1976-2010)](http://apps-afsc.fisheries.noaa.gov/Publications/ProcRpt/PR2014-05.pdf), [Species identification confidence Gulf Alaska Aleutian Islands surveys (1980-2011)](http://apps-afsc.fisheries.noaa.gov/Publications/ProcRpt/PR2014-01.pdf). vessel_id Vessel ID. ID number vessel used collect data haul. column 'vessel_id' associated 'vessel_name' column. Note possible vessel new name vessel id number. complete list vessel ID key codes, review [code books](https://www.fisheries.noaa.gov/resource/document/groundfish-survey-species-code-manual--data-codes-manual). vessel_name Vessel name. Name vessel used collect data haul. column 'vessel_name' associated 'vessel_id' column. Note possible vessel new name vessel id number. complete list vessel ID key codes, review [code books](https://www.fisheries.noaa.gov/resource/document/groundfish-survey-species-code-manual--data-codes-manual). weight_kg Sample taxon weight (kg). Weight (thousandths kilogram) individuals haul taxon. worms World register marine species (WoRMS) taxonomic serial number. Species code identified World Register Marine Species (WoRMS) (https://www.marinespecies.org/). year Survey year. Year observation (survey) collected. date_time Date time. date (MM/DD/YYYY) time (HH:MM) haul. dates times Alaska time (AKDT) Anchorage, AK, USA (UTC/GMT -8 hours). depth_m Depth (m). Bottom depth (meters). distance_fished_km Distance fished (km). Distance net fished (thousands kilometers). duration_hr Tow duration (decimal hr). elapsed time start end haul (decimal hours). haul Haul number. number uniquely identifies sampling event (haul) within cruise. sequential number, chronological order occurrence. hauljoin Haul ID. unique numeric identifier assigned (vessel, cruise, haul) combination. id_rank Lowest taxonomic rank. Lowest taxonomic rank given species entry. itis Integrated taxonomic information system (ITIS) serial number. Species code identified Integrated Taxonomic Information System (https://itis.gov/). latitude_dd_end End latitude (decimal degrees). Latitude (one hundred thousandth decimal degree) end haul. latitude_dd_start Start latitude (decimal degrees). Latitude (one hundred thousandth decimal degree) start haul. longitude_dd_end End longitude (decimal degrees). Longitude (one hundred thousandth decimal degree) end haul. longitude_dd_start Start longitude (decimal degrees). Longitude (one hundred thousandth decimal degree) start haul.","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/public_data.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Presence-only public data from FOSS — public_data","text":"https://github.com/afsc-gap-products/gap_products https://www.fisheries.noaa.gov/foss/f?p=215:28:14951401791129:::::","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/public_data.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Presence-only public data from FOSS — public_data","text":"Resource Assessment Conservation Engineering (RACE) Division Groundfish Assessment Program (GAP) Alaska Fisheries Science Center (AFSC) conducts fisheries-independent bottom trawl surveys assess populations demersal fish crab stocks Alaska.","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/public_data.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Presence-only public data from FOSS — public_data","text":"Emily Markowitz (Emily.Markowitz noaa.gov)","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/public_data.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Presence-only public data from FOSS — public_data","text":"","code":"data(public_data)"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/species_data.html","id":null,"dir":"Reference","previous_headings":"","what":"Subsetted species data — species_data","title":"Subsetted species data — species_data","text":"species classification table","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/species_data.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Subsetted species data — species_data","text":"","code":"data('species_data')"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/species_data.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Subsetted species data — species_data","text":"data frame 2699 observations following 3 variables. common_name Taxon common name. common name marine organism associated 'scientific_name' 'species_code' columns. complete species list, review [code books](https://www.fisheries.noaa.gov/resource/document/groundfish-survey-species-code-manual--data-codes-manual). scientific_name Taxon scientific name. scientific name organism associated 'common_name' 'species_code' columns. complete taxon list, review [code books](https://www.fisheries.noaa.gov/resource/document/groundfish-survey-species-code-manual--data-codes-manual). species_code Taxon code. species code organism associated 'common_name' 'scientific_name' columns. complete species list, review [code books](https://www.fisheries.noaa.gov/resource/document/groundfish-survey-species-code-manual--data-codes-manual).","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/species_data.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Subsetted species data — species_data","text":"https://github.com/afsc-gap-products/gap_products","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/species_data.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Subsetted species data — species_data","text":"Resource Assessment Conservation Engineering (RACE) Division Groundfish Assessment Program (GAP) Alaska Fisheries Science Center (AFSC) conducts fisheries-independent bottom trawl surveys assess populations demersal fish crab stocks Alaska.","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/species_data.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Subsetted species data — species_data","text":"Sarah Friedman (sarah.friedman noaa.gov)","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/species_data.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Subsetted species data — species_data","text":"","code":"data(species_data)"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/station_coords.html","id":null,"dir":"Reference","previous_headings":"","what":"Station centroid locations for each station from akgfmaps — station_coords","title":"Station centroid locations for each station from akgfmaps — station_coords","text":"Station centroid coordinates station surveys, defined akgfmaps package.","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/station_coords.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Station centroid locations for each station from akgfmaps — station_coords","text":"","code":"data('station_coords')"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/station_coords.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Station centroid locations for each station from akgfmaps — station_coords","text":"data frame 31594 observations following 4 variables. srvy Survey abbreviation. Abbreviated survey names. column 'srvy' associated 'survey' 'survey_definition_id' columns. Northern Bering Sea (NBS), Southeastern Bering Sea (EBS), Bering Sea Slope (BSS), Gulf Alaska (GOA), Aleutian Islands (AI). station Station ID. Alpha-numeric designation station established design survey. latitude_dd Latitude (decimal degrees). Latitude (one hundred thousandth decimal degree). longitude_dd Longitude (decimal degrees). Longitude (one hundred thousandth decimal degree).","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/station_coords.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Station centroid locations for each station from akgfmaps — station_coords","text":"https://github.com/afsc-gap-products/akgfmaps","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/station_coords.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Station centroid locations for each station from akgfmaps — station_coords","text":"Find code create table ./inst/run.R","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/station_coords.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Station centroid locations for each station from akgfmaps — station_coords","text":"Sean Rohan (sean.rohan noaa.gov)","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/station_coords.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Station centroid locations for each station from akgfmaps — station_coords","text":"","code":"data(station_coords)"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/tau_par.html","id":null,"dir":"Reference","previous_headings":"","what":"Tau correction for dissolved oxygen voltage — tau_par","title":"Tau correction for dissolved oxygen voltage — tau_par","text":"Tau correction following Edwards et al. (2010).","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/tau_par.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Tau correction for dissolved oxygen voltage — tau_par","text":"","code":"tau_par(temperature, pressure, tau20, d0, d1, d2)"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/tau_par.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Tau correction for dissolved oxygen voltage — tau_par","text":"temperature Temperature degrees C pressure Pressure dbar tau20 Tau correction calibration parameter Tau20. d0 Tau correction calibration parameter D0. d1 Tau correction calibration parameter D1. d2 Tau correction calibration parameter D2.","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/tau_par.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Tau correction for dissolved oxygen voltage — tau_par","text":"Edwards, B., Murphy, D., Janzen, C., Larson, .N., 2010. Calibration, response, hysteresis deep-sea dissolved oxygen measurements. J. Atmos. Ocean. Technol. 27, 920–931. https://doi.org/10.1175/2009JTECHO693.1","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/tau_par.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Tau correction for dissolved oxygen voltage — tau_par","text":"Sean Rohan","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/text_list.html","id":null,"dir":"Reference","previous_headings":"","what":"Takes a string of words and combines them into a sentance that lists them. — text_list","title":"Takes a string of words and combines them into a sentance that lists them. — text_list","text":"function alows take string words combine sentance list. example, 'apples', 'oranges', 'pears' become 'apples, oranges, pears'. function uses oxford commas.","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/text_list.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Takes a string of words and combines them into a sentance that lists them. — text_list","text":"","code":"text_list(x, oxford = TRUE, sep = \",\")"},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/text_list.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Takes a string of words and combines them into a sentance that lists them. — text_list","text":"x Character strings want string. oxford T/F: like use oxford comma? Default = TRUE sep string. default = \",\" \";\" might need!","code":""},{"path":"https://afsc-gap-products.github.io/GAPsurvey/reference/text_list.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Takes a string of words and combines them into a sentance that lists them. — text_list","text":"","code":"text_list(c(1,2,\"hello\",4,\"world\",6)) #> [1] \"1, 2, hello, 4, world, and 6\""}] diff --git a/inst/r/run.R b/inst/r/run.R index 96c0f40..c5061c3 100644 --- a/inst/r/run.R +++ b/inst/r/run.R @@ -15,7 +15,7 @@ if (file.exists("Z:/Projects/ConnectToOracle.R")) { # library(devtools) # devtools::install_github("afsc-gap-products/gapindex") library(gapindex) - gapindex::get_connected() + channel <- gapindex::get_connected() } # Load column metadata table --------------------------------------------------- @@ -23,7 +23,7 @@ if (file.exists("Z:/Projects/ConnectToOracle.R")) { metadata_table_comment <- dplyr::bind_rows( # tables RODBC::sqlQuery( - channel = channel_products, + channel = channel, query = "SELECT table_name, comments FROM all_tab_comments WHERE owner = 'GAP_PRODUCTS' @@ -31,20 +31,20 @@ ORDER BY table_name") %>% data.frame(), # materialized view RODBC::sqlQuery( - channel = channel_products, + channel = channel, query = "SELECT *FROM user_mview_comments") %>% data.frame() %>% dplyr::rename(TABLE_NAME = MVIEW_NAME) ) metadata_colname <- RODBC::sqlQuery( - channel = channel_products, + channel = channel, query = "SELECT * FROM GAP_PRODUCTS.METADATA_COLUMN") %>% janitor::clean_names() ## FOSS catch and haul data ---------------------------------------------------- public_data <- RODBC::sqlQuery( - channel = channel_products, + channel = channel, query = "SELECT hh.YEAR, @@ -191,7 +191,7 @@ write.table(str0, file = "./R/station_coords.R", sep = "\t", ## Taxonomic data -------------------------------------------------------------- species_data <- RODBC::sqlQuery( - channel = channel_products, + channel = channel, query = "SELECT * FROM GAP_PRODUCTS.TAXONOMIC_CLASSIFICATION @@ -287,11 +287,11 @@ pkgdown::build_site(pkg = here::here()) # usethis::use_github_action("pkgdown") # Save Package tar.gz -date0 <- "2023.04.04" -file.remove(paste0(dirname(here::here()), "/GAPsurvey_",date0,".tar.gz")) -file.remove(paste0((here::here()), "/GAPsurvey_",date0,".tar.gz")) -devtools::build() -file.copy(from = paste0(dirname(here::here()), "/GAPsurvey_",date0,".tar.gz"), - to = paste0(here::here(), "/GAPsurvey_",date0,".tar.gz"), - overwrite = TRUE) +date0 <- "2024.04.05" +# file.remove(paste0(dirname(here::here()), "/GAPsurvey_",date0,".tar.gz")) +# file.remove(paste0((here::here()), "/GAPsurvey_",date0,".tar.gz")) +devtools::build(path = here::here(paste0("GAPsurvey_",date0,".tar.gz"))) +# file.copy(from = paste0(dirname(here::here()), "/GAPsurvey_",date0,".tar.gz"), +# to = paste0(here::here(), "/GAPsurvey_",date0,".tar.gz"), +# overwrite = TRUE) diff --git a/man/public_data.Rd b/man/public_data.Rd index f87bca4..720fdd5 100644 --- a/man/public_data.Rd +++ b/man/public_data.Rd @@ -15,18 +15,6 @@ A data frame with 939197 observations on the following 37 variables. \item{\code{cpue_nokm2}}{Number CPUE (no/km2). Numerical catch per unit effort (area swept by the net, units square kilometers).} \item{\code{cruise}}{Cruise Name. This is a six-digit integer identifying the cruise number of the form: YYYY99 (where YYYY = year of the cruise; 99 = 2-digit number and is sequential; 01 denotes the first cruise that vessel made in this year, 02 is the second, etc.).} \item{\code{cruisejoin}}{Cruise ID. Unique integer ID assigned to each survey, vessel, and year combination.} - \item{\code{date_time}}{Date and time. The date (MM/DD/YYYY) and time (HH:MM) of the haul. All dates and times are in Alaska time (AKDT) of Anchorage, AK, USA (UTC/GMT -8 hours).} - \item{\code{depth_m}}{Depth (m). Bottom depth (meters).} - \item{\code{distance_fished_km}}{Distance fished (km). Distance the net fished (thousands of kilometers).} - \item{\code{duration_hr}}{Tow duration (decimal hr). This is the elapsed time between start and end of a haul (decimal hours).} - \item{\code{haul}}{Haul number. This number uniquely identifies a sampling event (haul) within a cruise. It is a sequential number, in chronological order of occurrence.} - \item{\code{hauljoin}}{Haul ID. This is a unique numeric identifier assigned to each (vessel, cruise, and haul) combination.} - \item{\code{id_rank}}{Lowest taxonomic rank. Lowest taxonomic rank of a given species entry.} - \item{\code{itis}}{Integrated taxonomic information system (ITIS) serial number. Species code as identified in the Integrated Taxonomic Information System (https://itis.gov/).} - \item{\code{latitude_dd_end}}{End latitude (decimal degrees). Latitude (one hundred thousandth of a decimal degree) of the end of the haul.} - \item{\code{latitude_dd_start}}{Start latitude (decimal degrees). Latitude (one hundred thousandth of a decimal degree) of the start of the haul.} - \item{\code{longitude_dd_end}}{End longitude (decimal degrees). Longitude (one hundred thousandth of a decimal degree) of the end of the haul.} - \item{\code{longitude_dd_start}}{Start longitude (decimal degrees). Longitude (one hundred thousandth of a decimal degree) of the start of the haul.} \item{\code{net_height_m}}{Net height (m). Measured or estimated distance (meters) between footrope and headrope of the trawl.} \item{\code{net_width_m}}{Net width (m). Measured or estimated distance (meters) between wingtips of the trawl.} \item{\code{performance}}{Haul performance code. This denotes what, if any, issues arose during the haul. For more information, review the [code books](https://www.fisheries.noaa.gov/resource/document/groundfish-survey-species-code-manual-and-data-codes-manual).} @@ -37,13 +25,25 @@ A data frame with 939197 observations on the following 37 variables. \item{\code{stratum}}{Stratum ID. RACE database statistical area for analyzing data. Strata were designed using bathymetry and other geographic and habitat-related elements. The strata are unique to each survey region. Stratum of value 0 indicates experimental tows.} \item{\code{surface_temperature_c}}{Surface temperature (degrees Celsius). Surface temperature (tenths of a degree Celsius); NA indicates removed or missing values.} \item{\code{survey}}{Survey name. Name and description of survey. The column 'survey' is associated with the 'srvy' and 'survey_definition_id' columns.} - \item{\code{survey_definition_id}}{Survey ID. The survey definition ID key code uniquely identifies a survey/survey design. The column 'survey_definition_id' is associated with the 'srvy' and 'survey' columns. For a complete list of surveys, review the [code books](https://www.fisheries.noaa.gov/resource/document/groundfish-survey-species-code-manual-and-data-codes-manual).} + \item{\code{survey_definition_id}}{Survey ID. The survey definition ID key code uniquely identifies a survey/survey design. Integer code that uniquely identifies survey. Full list of survey definition IDs are in RACE_DATA.SURVEY_DEFINITIONS. IDs used in GAP_PRODUCTS are: 47 (Gulf of Alaska); 52 (Aleutian Islands); 78 (Bering Sea Slope); 98 (Eastern Bering Sea Shelf); 143 (Northern Bering Sea Shelf). The column 'survey_definition_id' is associated with the 'srvy' and 'survey' columns. For a complete list of surveys, review the [code books](https://www.fisheries.noaa.gov/resource/document/groundfish-survey-species-code-manual-and-data-codes-manual).} \item{\code{taxon_confidence}}{Taxon confidence rating. Confidence in the ability of the survey team to correctly identify the taxon to the specified level, based solely on identification skill (e.g., not likelihood of a taxon being caught at that station on a location-by-location basis). Quality codes follow: **'High'**: High confidence and consistency. Taxonomy is stable and reliable at this level, and field identification characteristics are well known and reliable. **'Moderate'**: Moderate confidence. Taxonomy may be questionable at this level, or field identification characteristics may be variable and difficult to assess consistently. **'Low'**: Low confidence. Taxonomy is incompletely known, or reliable field identification characteristics are unknown. Documentation: [Species identification confidence in the eastern Bering Sea shelf survey (1982-2008)](http://apps-afsc.fisheries.noaa.gov/Publications/ProcRpt/PR2009-04.pdf), [Species identification confidence in the eastern Bering Sea slope survey (1976-2010)](http://apps-afsc.fisheries.noaa.gov/Publications/ProcRpt/PR2014-05.pdf), and [Species identification confidence in the Gulf of Alaska and Aleutian Islands surveys (1980-2011)](http://apps-afsc.fisheries.noaa.gov/Publications/ProcRpt/PR2014-01.pdf).} \item{\code{vessel_id}}{Vessel ID. ID number of the vessel used to collect data for that haul. The column 'vessel_id' is associated with the 'vessel_name' column. Note that it is possible for a vessel to have a new name but the same vessel id number. For a complete list of vessel ID key codes, review the [code books](https://www.fisheries.noaa.gov/resource/document/groundfish-survey-species-code-manual-and-data-codes-manual).} \item{\code{vessel_name}}{Vessel name. Name of the vessel used to collect data for that haul. The column 'vessel_name' is associated with the 'vessel_id' column. Note that it is possible for a vessel to have a new name but the same vessel id number. For a complete list of vessel ID key codes, review the [code books](https://www.fisheries.noaa.gov/resource/document/groundfish-survey-species-code-manual-and-data-codes-manual).} \item{\code{weight_kg}}{Sample or taxon weight (kg). Weight (thousandths of a kilogram) of individuals in a haul by taxon.} \item{\code{worms}}{World register of marine species (WoRMS) taxonomic serial number. Species code as identified in the World Register of Marine Species (WoRMS) (https://www.marinespecies.org/).} - \item{\code{year}}{Survey year. Year the observation (survey) was collected.}#' } + \item{\code{year}}{Survey year. Year the observation (survey) was collected.} + \item{\code{date_time}}{Date and time. The date (MM/DD/YYYY) and time (HH:MM) of the haul. All dates and times are in Alaska time (AKDT) of Anchorage, AK, USA (UTC/GMT -8 hours).} + \item{\code{depth_m}}{Depth (m). Bottom depth (meters).} + \item{\code{distance_fished_km}}{Distance fished (km). Distance the net fished (thousands of kilometers).} + \item{\code{duration_hr}}{Tow duration (decimal hr). This is the elapsed time between start and end of a haul (decimal hours).} + \item{\code{haul}}{Haul number. This number uniquely identifies a sampling event (haul) within a cruise. It is a sequential number, in chronological order of occurrence.} + \item{\code{hauljoin}}{Haul ID. This is a unique numeric identifier assigned to each (vessel, cruise, and haul) combination.} + \item{\code{id_rank}}{Lowest taxonomic rank. Lowest taxonomic rank of a given species entry.} + \item{\code{itis}}{Integrated taxonomic information system (ITIS) serial number. Species code as identified in the Integrated Taxonomic Information System (https://itis.gov/).} + \item{\code{latitude_dd_end}}{End latitude (decimal degrees). Latitude (one hundred thousandth of a decimal degree) of the end of the haul.} + \item{\code{latitude_dd_start}}{Start latitude (decimal degrees). Latitude (one hundred thousandth of a decimal degree) of the start of the haul.} + \item{\code{longitude_dd_end}}{End longitude (decimal degrees). Longitude (one hundred thousandth of a decimal degree) of the end of the haul.} + \item{\code{longitude_dd_start}}{Start longitude (decimal degrees). Longitude (one hundred thousandth of a decimal degree) of the start of the haul.}#' } } \source{ https://github.com/afsc-gap-products/gap_products and https://www.fisheries.noaa.gov/foss/f?p=215:28:14951401791129::::: @@ -52,7 +52,7 @@ https://github.com/afsc-gap-products/gap_products and https://www.fisheries.noaa data('public_data') } \description{ -These datasets, FOSS_CATCH, FOSS_CPUE_PRESONLY, FOSS_HAUL, and FOSS_SPECIES, when full joined by the HAULJOIN variable, includes zero-filled (presence and absence) observations and catch-per-unit-effort (CPUE) estimates for all identified species at for index stations. These tables were created by the Resource Assessment and Conservation Engineering Division (RACE) Groundfish Assessment Program (GAP) of the Alaska Fisheries Science Center (AFSC). There are legal restrictions on access to the data. These data are not intended for public dissemination and should not be shared without the explicit written consent of the data managers and owners (NOAA Fisheries). The GitHub repository for the scripts that created this code can be found at https://github.com/afsc-gap-products/gap_products. For more information about codes used in the tables, please refer to the survey code books (https://www.fisheries.noaa.gov/resource/document/groundfish-survey-species-code-manual-and-data-codes-manual). These data were last updated March 04, 2024. +Presence-only public data from FOSS } \details{ The Resource Assessment and Conservation Engineering (RACE) Division Groundfish Assessment Program (GAP) of the Alaska Fisheries Science Center (AFSC) conducts fisheries-independent bottom trawl surveys to assess the populations of demersal fish and crab stocks of Alaska. diff --git a/man/station_coords.Rd b/man/station_coords.Rd index 383d8ff..29556ca 100644 --- a/man/station_coords.Rd +++ b/man/station_coords.Rd @@ -7,10 +7,10 @@ \format{ A data frame with 31594 observations on the following 4 variables. \describe{ - \item{\code{latitude_dd}}{Latitude (decimal degrees). Latitude (one hundred thousandth of a decimal degree).} - \item{\code{longitude_dd}}{Longitude (decimal degrees). Longitude (one hundred thousandth of a decimal degree).} \item{\code{srvy}}{Survey abbreviation. Abbreviated survey names. The column 'srvy' is associated with the 'survey' and 'survey_definition_id' columns. Northern Bering Sea (NBS), Southeastern Bering Sea (EBS), Bering Sea Slope (BSS), Gulf of Alaska (GOA), Aleutian Islands (AI).} - \item{\code{station}}{Station ID. Alpha-numeric designation for the station established in the design of a survey.}#' } + \item{\code{station}}{Station ID. Alpha-numeric designation for the station established in the design of a survey.} + \item{\code{latitude_dd}}{Latitude (decimal degrees). Latitude (one hundred thousandth of a decimal degree).} + \item{\code{longitude_dd}}{Longitude (decimal degrees). Longitude (one hundred thousandth of a decimal degree).}#' } } \source{ https://github.com/afsc-gap-products/akgfmaps