diff --git a/DESCRIPTION b/DESCRIPTION
index 93ecae2..c348878 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: ColOpenData
 Title: Download Colombian Demographic, Climate and Geospatial Data
-Version: 0.3.0
+Version: 0.3.1
 Authors@R: c(
     person("Maria Camila", "Tavera-Cifuentes", , "mc.tavera@uniandes.edu.co", role = c("aut", "cre", "cph"),
            comment = c(ORCID = "0009-0007-1610-4583")),
diff --git a/README.Rmd b/README.Rmd
index 8fe4905..db7da5e 100644
--- a/README.Rmd
+++ b/README.Rmd
@@ -31,7 +31,7 @@ knitr::opts_chunk$set(
 
 **ColOpenData** is a package designed to access curated and wrangled Colombian demographic, geospatial, climate and population projections data, retrieved from various open Colombian data sources. The package addresses the challenge of scattered Colombian data across multiple web sources by providing functions that enable users to select and load desired datasets without the need for extensive data acquisition processes. Additionally, the tidy data structure offered for demographic and climate data facilitates analysis and visualization.
 
-ColOpenData is developed at [Universidad de Los Andes](https://uniandes.edu.co/) as part of the [Epiverse-TRACE program](https://data.org/initiatives/epiverse/).
+ColOpenData is developed at [Universidad de Los Andes](https://uniandes.edu.co/es) as part of the [Epiverse-TRACE program](https://data.org/initiatives/epiverse/).
 
 ## Installation
 
diff --git a/README.md b/README.md
index 576ed80..37967e5 100644
--- a/README.md
+++ b/README.md
@@ -28,7 +28,7 @@ processes. Additionally, the tidy data structure offered for demographic
 and climate data facilitates analysis and visualization.
 
 ColOpenData is developed at [Universidad de Los
-Andes](https://uniandes.edu.co/) as part of the [Epiverse-TRACE
+Andes](https://uniandes.edu.co/es) as part of the [Epiverse-TRACE
 program](https://data.org/initiatives/epiverse/).
 
 ## Installation
@@ -37,13 +37,12 @@ You can install the CRAN version of ColOpenData with:
 
 ``` r
 install.packages("ColOpenData")
-#> Installing package into 'C:/Users/Julia/AppData/Local/Temp/RtmpwZnATh/temp_libpath46443860632b'
+#> Installing package into 'C:/Users/ASUS/AppData/Local/Temp/RtmpGAqKBn/temp_libpath4c9c4ce17445'
 #> (as 'lib' is unspecified)
-#> Warning: package 'ColOpenData' is not available for this version of R
+#> package 'ColOpenData' successfully unpacked and MD5 sums checked
 #> 
-#> A version of this package for your version of R might be available elsewhere,
-#> see the ideas at
-#> https://cran.r-project.org/doc/manuals/r-patched/R-admin.html#Installing-packages
+#> The downloaded binary packages are in
+#>  C:\Users\ASUS\AppData\Local\Temp\RtmpmepthL\downloaded_packages
 ```
 
 You can also install the development version of ColOpenData from
@@ -57,10 +56,9 @@ pak::pak("epiverse-trace/ColOpenData")
 ## Quick Overview
 
 **ColOpenData** contains data from two public data sources: The National
-Administrative Department of Statistics
-[(DANE)](https://www.dane.gov.co/), and the Institute of Hydrology,
-Meteorology and Environmental Studies [(IDEAM)](https://ideam.gov.co).
-The available data is divided in four categories:
+Administrative Department of Statistics (DANE), and the Institute of
+Hydrology, Meteorology and Environmental Studies (IDEAM). The available
+data is divided in four categories:
 
 - **Demographic:** Demographic and Socioeconomic data presents
   information from the National Population and Dwelling Census (CNPV)
@@ -79,14 +77,12 @@ The available data is divided in four categories:
   provided by IDEAM, containing historical data from the first station
   in the country (January 1st 1920) until May 31st 2023. This backup
   includes temperature, precipitation, sunshine duration, wind
-  direction, among others..
+  direction, among others.
 
 - **Population projections:** Population Projections data contains the
   population projections and back projections from 1950 to 2070,
   considering the post COVID-19 update, which was calculated based on
-  the results of 2018 CNPV. Further information can be consulted at
-  [DANE
-  website](https://www.dane.gov.co/index.php/estadisticas-por-tema/demografia-y-poblacion/proyecciones-de-poblacion).
+  the results of 2018 CNPV.
 
 Documentation and vignettes are available for the modules in the [user
 vignettes](https://epiverse-trace.github.io/ColOpenData/).