#' Example `data.frame` with species name column
#'
#' A dataset containing 3 taxa to be matched with GBIF Taxonomy Backbone. The
#' variable are as follows:
#'
#' @format A data frame with 3 rows and 3 variables
#' \itemize{
#' \item {`speciesName`: name of the species}
#' \item {`kingdom`: kingdom to which the species belongs}
#' \item {`euConcernStatus`: level of concern according to EU directives}
#' }
#'
#' @docType data
#' @keywords datasets
#' @family datasets
#' @name species_example
#' @usage species_example
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#' Example `data.frame` with coordinates
#'
#' A dataset containing 52 coordinates as latitude and longitude
#'
#' @format A `data.frame` with 52 rows and 3 variables:
#' \itemize{
#' \item{`id`: resource identifier}
#' \item{`latitude`: Latitude of the coordinates}
#' \item{`longitude`: Longitude of the coordinates}
#' }
#'
#' @docType data
#' @keywords datasets
#' @family datasets
#' @name coordinate_example
#' @usage coordinate_example
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#' Example `data.frame` with `KNMI` downloaded data
#'
#' A dataset containing the rainfall from January 1st till February 1st for
#' `Vlissingen` and `Westdorpe`, as downloaded from `KNMI`
#'
#' @format A `data.frame` with 1536 rows and 9 variables:
#' \itemize{
#' \item{`value`: measured value}
#' \item{`datetime`: `datetime` of the measurement}
#' \item{`unit`: unit (mm)}
#' \item{`variable_name`: precipitation}
#' \item{`longitude`: coordinate}
#' \item{`latitude`: coordinate}
#' \item{`location_name`: station name}
#' \item{`source_filename`: filename from which the data was read}
#' \item{`quality_code`: empty string as `KNMI` does not provide this}
#' }
#'
#' @docType data
#' @keywords datasets
#' @family datasets
#' @name rain_knmi_2012
#' @usage rain_knmi_2012
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