#' 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"