R/sedimentdata.R

In tbep-tech/tbeptools: Data and Indicators for the Tampa Bay Estuary Program

#' Sediment data for the Tampa Bay current as of 20241212
#'
#' Sediment data for the Tampa Bay current as of 20241212
#'
#' @format A \code{data.frame} with 226536 rows and 24 variables:
#' \describe{
#'   \item{ProgramId}{int}
#'   \item{ProgramName}{chr}
#'   \item{FundingProject}{chr}
#'   \item{yr}{int}
#'   \item{AreaAbbr}{chr}
#'   \item{StationID}{int}
#'   \item{StationNumber}{chr}
#'   \item{Latitude}{num}
#'   \item{Longitude}{num}
#'   \item{Replicate}{chr}
#'   \item{SedResultsType}{chr}
#'   \item{Parameter}{chr}
#'   \item{ValueAdjusted}{num}
#'   \item{Units}{chr}
#'   \item{Qualifier}{chr}
#'   \item{MDLnum}{num}
#'   \item{PQLnum}{num}
#'   \item{TEL}{num}
#'   \item{PEL}{num}
#'   \item{BetweenTELPEL}{chr}
#'   \item{ExceedsPEL}{chr}
#'   \item{PreparationDate}{chr}
#'   \item{AnalysisTimeMerge}{chr}
#'   \item{PELGrade}{Factor}
#'  }
#'
#' @concept data
#'
#' @examples
#' \dontrun{
#' # location to download data
#' path <- '~/Desktop/sediment.zip'
#'
#' # load and assign to object
#' sedimentdata <- read_importsediment(path, download_latest = TRUE, remove = TRUE)
#'
#' save(sedimentdata, file = 'data/sedimentdata.RData', compress = 'xz')
#'
#' }
"sedimentdata"