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#' Properties of the predefined scenarios from the EFSA guidance from 2017
#'
#' Properties of the predefined scenarios used at Tier 1, Tier 2A and Tier 3A for the
#' concentration in soil as given in the EFSA guidance (2017, p. 14/15). Also, the
#' scenario and model adjustment factors from p. 16 and p. 18 are included.
#'
#' @name soil_scenario_data_EFSA_2017
#' @docType data
#' @format A data frame with one row for each scenario. Row names are the scenario codes,
#' e.g. CTN for the Northern scenario for the total concentration in soil. Columns are
#' mostly self-explanatory. \code{rho} is the dry bulk density of the top soil.
#' @source EFSA (European Food Safety Authority) (2017)
#' EFSA guidance document for predicting environmental concentrations
#' of active substances of plant protection products and transformation products of these
#' active substances in soil. \emph{EFSA Journal} \bold{15}(10) 4982
#' \doi{10.2903/j.efsa.2017.4982}
#' @keywords datasets
#' @examples
#' soil_scenario_data_EFSA_2017
#'
#' waldo::compare(soil_scenario_data_EFSA_2017, soil_scenario_data_EFSA_2015)
"soil_scenario_data_EFSA_2017"
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