## 2d polygons ----
#' JHU parcellation
#'
#' @docType data
#' @name jhu
#' @keywords datasets
#' @family ggseg_atlases
#' @references Hua et al. (2008) NeuroImage, 39(1):336-347
#' (\href{https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2724595/}{PubMed})
#'
#' @format A data.frame with 11341 observations and 11 variables
#' \describe{
#' \item{long}{coordinates for the x-axis}
#' \item{lat}{coordinates for the y-axis}
#' \item{area}{name of region}
#' \item{hemi}{dummy name of the hemisphere}
#' \item{side}{which side to view (sagittal)}
#' \item{label}{label name from Freesurfer}
#' \item{atlas}{name of the atlas}
#' }
#'
#' @examples
#' data(jhu)
"jhu"
### 3d meshes ----
#' Parcellation from JHU
#'
#' @docType data
#' @name jhu_3d
#' @keywords datasets
#' @family ggseg3d_atlases
#' @references Hua et al., Tract probability maps in stereotaxic spaces:
#' analysis of white matter anatomy and tract-specific quantification. NeuroImage, 39(1):336-347 (2008)
#' (\href{https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2724595/}{PubMed})
#'
#'
#' @examples
#' data(jhu_3d)
"jhu_3d"
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