Revert back to using Carpentries supplied link for data

.github/workflows/pr-close-signal.yaml

@@ -16,7 +16,7 @@ jobs:
           mkdir -p ./pr
           printf ${{ github.event.number }} > ./pr/NUM
       - name: Upload Diff
-        uses: actions/upload-artifact@v3
+        uses: actions/upload-artifact@v4
         with:
           name: pr
           path: ./pr

.github/workflows/pr-receive.yaml

@@ -25,7 +25,7 @@ jobs:
       - name: "Upload PR number"
         id: upload
         if: ${{ always() }}
-        uses: actions/upload-artifact@v3
+        uses: actions/upload-artifact@v4
         with:
           name: pr
           path: ${{ github.workspace }}/NR
@@ -58,7 +58,7 @@ jobs:
       MD: ${{ github.workspace }}/site/built
     steps:
       - name: "Check Out Main Branch"
-        uses: actions/checkout@v3
+        uses: actions/checkout@v4
 
       - name: "Check Out Staging Branch"
         uses: actions/checkout@v3
@@ -107,20 +107,20 @@ jobs:
         shell: Rscript {0}
 
       - name: "Upload PR"
-        uses: actions/upload-artifact@v3
+        uses: actions/upload-artifact@v4
         with:
           name: pr
           path: ${{ env.PR }}
 
       - name: "Upload Diff"
-        uses: actions/upload-artifact@v3
+        uses: actions/upload-artifact@v4
         with:
           name: diff
           path: ${{ env.CHIVE }}
           retention-days: 1
 
       - name: "Upload Build"
-        uses: actions/upload-artifact@v3
+        uses: actions/upload-artifact@v4
         with:
           name: built
           path: ${{ env.MD }}

learners/setup.md

@@ -8,14 +8,12 @@ described in this page.
 
 ## Data
 
-The example images used in this lesson are available for University of Birmingham staff on SharePoint.
-Please follow this [link](https://bham.sharepoint.com/sites/AdvancedResearchComputing-Department/_layouts/15/guestaccess.aspx?share=Eh38JNN264JBv0krIXjdgBcB3bIYFedVU2jRR1hjIQM1pw&e=es0Hsf), 
-log on if required, and click "Download".
-Unzip the downloaded file, and save the contents as a folder called `data` somewhere you will easily
-find it again,
+The example images and a description of the Python environment used in this lesson are available on [FigShare](https://figshare.com/).
+To download the data, please visit [the dataset page for this workshop][figshare-data]
+and click the "Download all" button.
+Unzip the downloaded file, and save the contents as a folder called `data` somewhere you will easily find it again,
 e.g. your Desktop or a folder you have created for using in this workshop.
-(The name `data` is optional but recommended, as this is the name we will use to refer to the folder
-throughout the lesson.)
+(The name `data` is optional but recommended, as this is the name we will use to refer to the folder throughout the lesson.)
 
 ## Software