diff --git a/.github/workflows/publish.yml b/.github/workflows/publish.yml
new file mode 100644
index 0000000..34ceb01
--- /dev/null
+++ b/.github/workflows/publish.yml
@@ -0,0 +1,50 @@
+---
+name: Publish content
+
+on:
+  pull_request: ~
+  push:
+    branches: [ main ]
+
+  # Allow job to be triggered manually.
+  workflow_dispatch:
+
+# Cancel in-progress jobs when pushing to the same branch.
+concurrency:
+  cancel-in-progress: true
+  group: ${{ github.workflow }}-${{ github.ref }}
+
+jobs:
+
+  publish-webserver:
+
+    runs-on: "ubuntu-latest"
+
+    name: Upload content to web server
+    steps:
+
+    - name: Acquire sources
+      uses: actions/checkout@v4
+
+    - name: Install Rclone
+      run: sudo apt-get install --yes --no-install-recommends --no-install-suggests rclone
+
+    - name: Configure Rclone
+      run: |
+        mkdir -p ~/.config/rclone
+        cat << EOF > ~/.config/rclone/rclone.conf
+
+        [datasets-webdav]
+        type = webdav
+        url = https://cdn.crate.io/downloads/datasets/
+        vendor = other
+
+        EOF
+
+    - name: Upload content using WebDAV
+      env:
+        RCLONE_WEBDAV_USER: webdav
+        RCLONE_WEBDAV_PASS: ${{ secrets.RCLONE_WEBDAV_PASS }}
+      run: |
+        rclone sync $(pwd) datasets-webdav:/cratedb-datasets \
+          --copy-links --delete-excluded --exclude="/.git**"
diff --git a/README.md b/README.md
index f8d85b3..3533c7d 100644
--- a/README.md
+++ b/README.md
@@ -13,6 +13,31 @@ The datasets are used for learning and experimenting,
 and to support blog posts and tech talks about CrateDB.
 
 
+## Usage
+
+How to acquire and use datasets provided by this repository.
+
+### Acquisition
+
+The content of this repository is published to an HTTP folder
+on the web server. Please consume all resources from there,
+because it is discouraged to use GitHub as a CDN.
+
+https://cdn.crate.io/downloads/datasets/cratedb-datasets/
+
+### Python API
+
+You can acquire datasets fluently in Python code by using
+CrateDB Toolkit's [Dataset API].
+```python
+from cratedb_toolkit.datasets import load_dataset
+load_dataset("tutorial/weather-basic")
+```
+Some of the datasets already include a default SQL DDL schema definition file,
+so provisioning them as a CrateDB database table is easier than needing to
+discover and type the correct `CREATE TABLE ...` statement manually.
+
+
 ## What's inside
 
 ### Embedded datasets
@@ -55,4 +80,5 @@ type, make sure it is listed there.
 
 
 
+[Dataset API]: https://cratedb-toolkit.readthedocs.io/datasets.html
 [Git LFS]: https://git-lfs.com/