#' ICESAT data.
#'
#' A sample of the Ice, Cloud and Elevation dataset, where each point represents an average trend in m/yr over a 20km x 20km grid box. The data has the following fields
#'
#' \itemize{
#' \item t. year of observation (0--6 where 0 is 2003, and 6 is 2009)
#' \item x. x coordinate in km (under polar stereographic projection)
#' \item y. y coordinate in km (under polar stereographic projection)
#' \item std. std standard error of trend
#' \item z. trend
#' \item obs_name. the name of the observation
#' }
#'
#' @docType data
#' @keywords datasets
#' @format A data frame with 10000 rows and 6 variables
#' @name icesat
NULL
#' Example mesh
#'
#' A list containing the mesh details of the Antarctic ice sheet at moderate (~200km) resolution
#'
#' \itemize{
#' \item p. a 1984 x 2 matrix containing the vertices
#' \item t. a 3911 x 3 matrix containing the trianulations
#' \item M. a 1984 x 1984 sparse mass matrix
#' \item K. a 1984 x 1984 sparse stiffness matrix
#' }
#'
#' @docType data
#' @keywords datasets
#' @format A list with four fields
#' @name surf_fe
NULL
#' Boundaries for Antarctica
#'
#' A list of data frames containing useful shapefiles for plotting results relating to Antarctica.
#'
#' \itemize{
#' \item grounding_sub. a 1984 x 2 matrix containing the vertices
#' \item coast_sub. a 3911 x 3 matrix containing the trianulations
#' \item Islands. a 1984 x 1984 sparse mass matrix
#' \item K. a 1984 x 1984 sparse stiffness matrix
#' }
#'
#' @docType data
#' @keywords datasets
#' @format A list with three fields. Each data frame has at least the following fields
#' \itemize{
#' \item x. x coordinate in km under a polar stereographic projection
#' \item y. y coordinate in km under a polar stereographic projection
#' \item id. polygon id
#' }
#' @name shapefiles
NULL
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