#' @name get_reference_db
#'
#' @title Function to download reference taxonomic trees, traits dataset,
#' and biomonitoring index scores.
#'
#' @description
#' This function allows the user to download several data sets useful for `biomonitoR` analyses.
#' See details to discover which data sets you can download.
#'
#' @param db_name dataset name to download. See details to know the available data sets.
#'
#'
#' @details Available data set:
#' 1) mi_cuba: Taxonomic data set of macroinvertebrates from Cuba (Torres-Cambas et al., 2023).
#'
#' @keywords reference data sets download
#'
#' @export
#'
#' @examples
#' db_reference <- get_reference_db(db_name = "mi_cuba_2023")
#'
#' @importFrom utils read.csv
get_reference_db <- function(db_name = "mi_cuba_2023"){
error_message <- db_name %in% dfMain$dataset
if(!error_message){
stop("Please provide a valid db_name")
}
db <- read.csv(dfMain$link[dfMain$dataset == db_name])
# message(paste("Please to cite ‘biomonitoR’ in your publications use:\n
# Laini A., Guareschi S., Bolpagni R., Burgazzi G., Bruno D., Gutiérrez-Cánovas C.,
# ... & Cancellario T. (2022). biomonitoR: an R package for managing ecological
# data and calculating biomonitoring indices. PeerJ, 10, e14183. \n
# Moreover to cite the reference dataset use: \n \n",
# dfMain$citation_APA[dfMain$dataset == db_name]))
db[is.na(db)] <- ""
return(db)
}
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