diff --git a/.Rbuildignore b/.Rbuildignore
index 5b23b455401c260d8450a0920702c162a6fcf585..e06dfa986fbe1bc1f42937fb8aa767264c38cfe6 100644
--- a/.Rbuildignore
+++ b/.Rbuildignore
@@ -6,3 +6,4 @@
 .gitlab-ci.yml
 # unit tests should be ignored when building the package for CRAN
 ^tests$
+^CONTRIBUTING\.md$
diff --git a/DESCRIPTION b/DESCRIPTION
index 26bf454899e6a696149fa0666ef5048ad58b42cf..cb6d1b5ba450f105dcc376cd41acef328c1b98ee 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -18,6 +18,6 @@ License: GPL-3
 URL: https://earth.bsc.es/gitlab/es/easyNCDF
 BugReports: https://earth.bsc.es/gitlab/es/easyNCDF/-/issues
 SystemRequirements: netcdf development libraries
-RoxygenNote: 7.2.0
+RoxygenNote: 7.3.1
 Encoding: UTF-8
 Config/testthat/edition: 3
diff --git a/R/ArrayToNc.R b/R/ArrayToNc.R
index 6b4e477fd17e073d7c46124b337741d2ba1c8584..6952edc978799596e26c6cf802d353a9ff176963 100644
--- a/R/ArrayToNc.R
+++ b/R/ArrayToNc.R
@@ -5,53 +5,56 @@
 #'arrays and stores them in a NetCDF file, using the \code{ncdf4} package. The
 #'full path and name of the resulting file must be specified. Metadata can be 
 #'attached to the arrays and propagated into the NetCDF file in 3 possible 
-#'ways:\cr
-#'  \itemize{
- #'   \item{Via the list names if a list of arrays is provided:}{Each name in 
-#'       the input list, corresponding to one multidimensional array, will be
-#'       interpreted as the name of the variable it contains.\cr
-#'E.g:\cr
-#'     \code{
-#'ArrayToNc(arrays = list(temperature = array(1:9, c(3, 3))),
-#'          file_path = 'example.nc')
+#'ways:
+#'  \describe{
+#'    \item{Via the list names if a list of arrays is provided:}{
+#'      Each name in the input list, corresponding to one multidimensional 
+#'      array, will be interpreted as the name of the variable it contains.
+#'      
+#'      E.g.:
+#'      \code{
+#'      ArrayToNc(arrays = list(temperature = array(1:9, c(3, 3))),
+#'                file_path = 'example.nc')
 #'      }
 #'    }
-#'    \item{Via the dimension names of each provided array:}{The dimension names
-#'       of each of the provided arrays will be interpreted as names for the 
-#'       dimensions of the NetCDF files. Read further for special dimension 
-#'       names that will trigger special behaviours, such as 'time' and 'var'.
-#'\cr
-#'E.g:\cr
+#'    \item{Via the dimension names of each provided array:}{
+#'      The dimension names of each of the provided arrays will be interpreted 
+#'      as names for the dimensions of the NetCDF files. Read further for 
+#'      special dimension names that will trigger special behaviours, such as 
+#'      'time' and 'var'.
+#'
+#'      E.g.:
 #'      \code{
-#'temperature <- array(rnorm(100 * 50 * 10), dim = c(100, 50, 10))
-#'names(dim(temperature)) <- c('longitude', 'latitude', 'time')
-#'ArrayToNc(list(temperature = temperature), file_path = 'example.nc')
+#'      temperature <- array(rnorm(100 * 50 * 10), dim = c(100, 50, 10))
+#'      names(dim(temperature)) <- c('longitude', 'latitude', 'time')
+#'      ArrayToNc(list(temperature = temperature), file_path = 'example.nc')
 #'      }
 #'    }
-#'    \item{Via the attribute 'variables' of each provided array:}{The arrays 
-#'       can be provided with metadata in an attribute named 'variables', which
-#'       is expected to be a named list of named lists, where the names of the 
-#'       container list are the names of the variables present in the provided
-#'       array, and where each sub-list contains metadata for each of the 
-#'       variables. The attribute names and values supported in the sub-lists 
-#'       must follow the same format the package \code{ncdf4} uses to represent
-#'       the NetCDF file headers.\cr
-#'E.g:\cr
+#'    \item{Via the attribute 'variables' of each provided array:}{
+#'      The arrays can be provided with metadata in an attribute named 
+#'      'variables', which is expected to be a named list of named lists, where 
+#'      the names of the container list are the names of the variables present 
+#'      in the provided array, and where each sub-list contains metadata for 
+#'      each of the variables. The attribute names and values supported in the 
+#'      sub-lists must follow the same format the package \code{ncdf4} uses to 
+#'      represent the NetCDF file headers.
+#'     
+#'      E.g.:
 #'      \code{
-#'a <- array(1:400, dim = c(5, 10, 4, 2))
-#'metadata <- list(
-#'              tos = list(addOffset = 100,
-#'                         scaleFact = 10,
-#'                         dim = list(list(name = 'time',
-#'                                         unlim = FALSE))),
-#'              tas = list(addOffset = 100,
-#'                         scaleFact = 10,
-#'                         dim = list(list(name = 'time',
-#'                                         unlim = FALSE)))
-#'            )
-#'attr(a, 'variables') <- metadata
-#'names(dim(a)) <- c('lat', 'lon', 'time', 'var')
-#'ArrayToNc(a, 'tmp.nc')
+#'      a <- array(1:400, dim = c(5, 10, 4, 2))
+#'      metadata <- list(
+#'        tos = list(addOffset = 100,
+#'                   scaleFact = 10,
+#'                   dim = list(list(name = 'time',
+#'                                   unlim = FALSE))),
+#'        tas = list(addOffset = 100,
+#'                   scaleFact = 10,
+#'                   dim = list(list(name = 'time',
+#'                                   unlim = FALSE)))
+#'      )
+#'      attr(a, 'variables') <- metadata
+#'      names(dim(a)) <- c('lat', 'lon', 'time', 'var')
+#'      ArrayToNc(a, 'tmp.nc')
 #'      }
 #'    }
 #'  }
@@ -235,7 +238,7 @@ ArrayToNc <- function(arrays, file_path) {
   if (!is.character(file_path)) {
     stop("Parameter 'file_path' must be a character string.")
   }
-
+  
   defined_dims <- list()
   defined_vars <- list()
   global_attrs <- list()
diff --git a/man/ArrayToNc.Rd b/man/ArrayToNc.Rd
index e51880ebb621affb4a878d274ebc5e203b8864ec..ed65ff3edf94c0de41d0e895f7eca397b9ab69ae 100644
--- a/man/ArrayToNc.Rd
+++ b/man/ArrayToNc.Rd
@@ -25,53 +25,56 @@ This function takes as input one or a list of multidimensional R
 arrays and stores them in a NetCDF file, using the \code{ncdf4} package. The
 full path and name of the resulting file must be specified. Metadata can be 
 attached to the arrays and propagated into the NetCDF file in 3 possible 
-ways:\cr
- \itemize{
-  \item{Via the list names if a list of arrays is provided:}{Each name in 
-      the input list, corresponding to one multidimensional array, will be
-      interpreted as the name of the variable it contains.\cr
-E.g:\cr
-    \code{
-ArrayToNc(arrays = list(temperature = array(1:9, c(3, 3))),
-         file_path = 'example.nc')
+ways:
+ \describe{
+   \item{Via the list names if a list of arrays is provided:}{
+     Each name in the input list, corresponding to one multidimensional 
+     array, will be interpreted as the name of the variable it contains.
+     
+     E.g.:
+     \code{
+     ArrayToNc(arrays = list(temperature = array(1:9, c(3, 3))),
+               file_path = 'example.nc')
      }
    }
-   \item{Via the dimension names of each provided array:}{The dimension names
-      of each of the provided arrays will be interpreted as names for the 
-      dimensions of the NetCDF files. Read further for special dimension 
-      names that will trigger special behaviours, such as 'time' and 'var'.
-\cr
-E.g:\cr
+   \item{Via the dimension names of each provided array:}{
+     The dimension names of each of the provided arrays will be interpreted 
+     as names for the dimensions of the NetCDF files. Read further for 
+     special dimension names that will trigger special behaviours, such as 
+     'time' and 'var'.
+
+     E.g.:
      \code{
-temperature <- array(rnorm(100 * 50 * 10), dim = c(100, 50, 10))
-names(dim(temperature)) <- c('longitude', 'latitude', 'time')
-ArrayToNc(list(temperature = temperature), file_path = 'example.nc')
+     temperature <- array(rnorm(100 * 50 * 10), dim = c(100, 50, 10))
+     names(dim(temperature)) <- c('longitude', 'latitude', 'time')
+     ArrayToNc(list(temperature = temperature), file_path = 'example.nc')
      }
    }
-   \item{Via the attribute 'variables' of each provided array:}{The arrays 
-      can be provided with metadata in an attribute named 'variables', which
-      is expected to be a named list of named lists, where the names of the 
-      container list are the names of the variables present in the provided
-      array, and where each sub-list contains metadata for each of the 
-      variables. The attribute names and values supported in the sub-lists 
-      must follow the same format the package \code{ncdf4} uses to represent
-      the NetCDF file headers.\cr
-E.g:\cr
+   \item{Via the attribute 'variables' of each provided array:}{
+     The arrays can be provided with metadata in an attribute named 
+     'variables', which is expected to be a named list of named lists, where 
+     the names of the container list are the names of the variables present 
+     in the provided array, and where each sub-list contains metadata for 
+     each of the variables. The attribute names and values supported in the 
+     sub-lists must follow the same format the package \code{ncdf4} uses to 
+     represent the NetCDF file headers.
+    
+     E.g.:
      \code{
-a <- array(1:400, dim = c(5, 10, 4, 2))
-metadata <- list(
-             tos = list(addOffset = 100,
-                        scaleFact = 10,
-                        dim = list(list(name = 'time',
-                                        unlim = FALSE))),
-             tas = list(addOffset = 100,
-                        scaleFact = 10,
-                        dim = list(list(name = 'time',
-                                        unlim = FALSE)))
-           )
-attr(a, 'variables') <- metadata
-names(dim(a)) <- c('lat', 'lon', 'time', 'var')
-ArrayToNc(a, 'tmp.nc')
+     a <- array(1:400, dim = c(5, 10, 4, 2))
+     metadata <- list(
+       tos = list(addOffset = 100,
+                  scaleFact = 10,
+                  dim = list(list(name = 'time',
+                                  unlim = FALSE))),
+       tas = list(addOffset = 100,
+                  scaleFact = 10,
+                  dim = list(list(name = 'time',
+                                  unlim = FALSE)))
+     )
+     attr(a, 'variables') <- metadata
+     names(dim(a)) <- c('lat', 'lon', 'time', 'var')
+     ArrayToNc(a, 'tmp.nc')
      }
    }
  }