diff --git a/DESCRIPTION b/DESCRIPTION
index 4ca1f159..e9b475cf 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: wallace
-Version: 2024.11.18
-Date: 2024-11-18
+Version: 2024.12.12
+Date: 2024-12-12
 Title: A Modular Platform for Reproducible Modeling of Species Niches 
     and Distributions
 Description: The 'shiny' application Wallace is a modular platform for 
diff --git a/README.md b/README.md
index 053ac334..ddd0e915 100644
--- a/README.md
+++ b/README.md
@@ -1,6 +1,6 @@
 [![R-CMD-check](https://github.com/wallaceEcoMod/wallace/workflows/R-CMD-check/badge.svg)](https://github.com/wallaceEcoMod/wallace/actions) [![License: GPL v3](https://img.shields.io/badge/License-GPL%20v3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0) [![CRAN version](http://www.r-pkg.org/badges/version/wallace)](https://CRAN.R-project.org/package=wallace) [![downloads](https://cranlogs.r-pkg.org:443/badges/grand-total/wallace?color=orange)](https://cranlogs.r-pkg.org:443/badges/grand-total/wallace?color=orange)
 
-# Wallace (v2024.11.18)
+# Wallace (v2024.12.12)
 *Wallace* is a modular platform for reproducible modeling of species niches and distributions, written in R. The application guides users through a complete analysis, from the acquisition of data to visualizing model predictions on an interactive map, thus bundling complex workflows into a single, streamlined interface.
 
 Developmental versions (such as this branch) can be downloaded from Github with the following R code.
diff --git a/inst/shiny/Rmd/text_about.Rmd b/inst/shiny/Rmd/text_about.Rmd
index bc5a8404..2a049273 100644
--- a/inst/shiny/Rmd/text_about.Rmd
+++ b/inst/shiny/Rmd/text_about.Rmd
@@ -6,7 +6,7 @@ output: html_document
 ### **What is *Wallace*?**  
 
 <img src="logo.png" alt="logo" style="width: 150px; float:right; padding:10px;"/>
-Welcome to *Wallace*, a flexible application for reproducible ecological modeling, built for community expansion. The current version of *Wallace* (v2024.09.18) steps the user through a full niche/distribution modeling analysis, from data acquisition to visualizing results.
+Welcome to *Wallace*, a flexible application for reproducible ecological modeling, built for community expansion. The current version of *Wallace* (v2024.12.12) steps the user through a full niche/distribution modeling analysis, from data acquisition to visualizing results.
 
 The application is written in `R` with the web app development package `shiny`. Please find the stable version of *Wallace* on <a href="https://CRAN.R-project.org/package=wallace" target="_blank">CRAN</a>, and the development version on <a href="https://github.com/wallaceEcoMod/wallace" target="_blank">Github</a>. We also maintain a *Wallace* <a href="https://wallaceecomod.github.io/" target="_blank">website</a> that has some basic info, links, and will be updated with tutorial materials in the near future.
 
diff --git a/inst/shiny/Rmd/text_intro_tab.Rmd b/inst/shiny/Rmd/text_intro_tab.Rmd
index b00cb7e5..6ea768b4 100644
--- a/inst/shiny/Rmd/text_intro_tab.Rmd
+++ b/inst/shiny/Rmd/text_intro_tab.Rmd
@@ -5,7 +5,7 @@ output: html_document
 
 #### WORKFLOW
 
-*Wallace* (v2024.11.18) currently includes ten components, or steps of a possible workflow. Each component includes two or more modules, which are possible analyses for that step.  
+*Wallace* (v2024.12.12) currently includes thirteen components, or steps of a possible workflow. Each component includes two or more modules, which are possible analyses for that step.  
 
 **Components:**  
 
diff --git a/inst/shiny/Rmd/userReport_intro.Rmd b/inst/shiny/Rmd/userReport_intro.Rmd
index 8beb9ff4..0ff3d656 100644
--- a/inst/shiny/Rmd/userReport_intro.Rmd
+++ b/inst/shiny/Rmd/userReport_intro.Rmd
@@ -10,7 +10,7 @@ knit_engines$set(asis = function(options) {
 knitr::opts_chunk$set(message = FALSE, warning = FALSE, eval = FALSE)
 ```
 
-Please find below the R code history from your *Wallace* v2024.11.18 session. 
+Please find below the R code history from your *Wallace* v2024.12.12 session. 
 
 You can reproduce your session results by running this R Markdown file in RStudio.