Minor edits (#23)

   * minor edits to traits.build book that have been on a branch for a while:
        - Add details about cloning template repository
   * updated actions-cache step to v4

closes #18

closes #8

closes #22

---------

Co-authored-by: Fonti Kar <[email protected]>

.github/workflows/render.yaml

@@ -30,7 +30,7 @@ jobs:
           needs: check
 
       - name: Cache results
-        uses: actions/cache@v2
+        uses: actions/cache@v4
         with:
           path: |
             _book

tutorial_compilation.qmd

@@ -4,7 +4,7 @@ This tutorial walks you through an example of creating a `traits.build` database
 
 ## Clone traits.build-template
 
-traits.build-template is a GitHub repository that contains:
+[traits.build-template](https://github.com/traitecoevo/traits.build-template) is a GitHub repository that contains:
 
 1.  Core files required to build your own database:
     -   a sample [trait dictionary](https://github.com/traitecoevo/traits.build-template/blob/master/config/traits.yml)
@@ -29,6 +29,8 @@ traits.build-template is a GitHub repository that contains:
 
     -   As of September 2023 there are 3 tutorials, but this will expand to 6 tutorials by October 2023.
 
+To clone the repository, either visit the GitHub repository and click on the green `<> Code` tab toward the upper right corner of the [landing page](https://github.com/traitecoevo/traits.build-template), or clone the repository through GitHub desktop, R Studio, or your choice of Git client. 
+
 ## Build the example
 
 Once you have cloned the repository and installed the package, the next step is to build the simplistic sample database:

tutorial_dataset_4.qmd

@@ -62,7 +62,7 @@ source("R/custom_R_code.R")
 
   1.    Use `metadata_add...` functions where possible.\
   2.    Mutate new columns using `custom_R_code`.\
-  3.    Manually map newly creted column names in the appropriate part of the `metadata.yml` file.\
+  3.    Manually map newly created column names in the appropriate part of the `metadata.yml` file.\
 
 #### **Create a metadata template**
 
@@ -196,6 +196,12 @@ Notes:\
 
 ------------------------------------------------------------------------
 
+#### **Fill in missing dataset-level metadata**
+
+-   Manually fill in the the information for the fields `description`, `basis_of_record`, `life_stage` and `sampling_strategy`, copying information from the supplied text file into `metadata.yml`.
+
+------------------------------------------------------------------------
+
 #### **Add traits** {#map_metadata_from_columns}
 
 There is a single trait for this study, Huber value, which is the sapwood area to leaf area ratio. However, in the data.csv file it is documented as `log_LA.SA` and another line of custom R code must be added:\

tutorial_datasets.qmd

@@ -10,6 +10,8 @@ remotes::install_github("traitecoevo/traits.build")
 ```
 2.  Cloned the traitecoevo/traits.build-template repository.
 
+-  Click on the green `<> Code` tab toward the upper right corner of `https://github.com/traitecoevo/traits.build-template`.
+
 3.  Built the [example database](tutorial_compilation.html).
 
 The tutorial is divided into the following sections: