diff --git a/intermediate/datastructures-intermediate.ipynb b/intermediate/datastructures-intermediate.ipynb
index bf58ee3b..1431b531 100644
--- a/intermediate/datastructures-intermediate.ipynb
+++ b/intermediate/datastructures-intermediate.ipynb
@@ -115,7 +115,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# pull out \"air\" dataarray with dictionary syntax\n",
+    "# pull out \"air\" DataArray with dict-like syntax\n",
     "ds[\"air\"]"
    ]
   },
@@ -123,7 +123,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "You can save some typing by using the \"attribute\" or \"dot\" notation. This won't\n",
+    "You can save some typing by using the \"dict-like\" or \"attribute-like\" syntax. This won't\n",
     "work for variable names that clash with a built-in method name (like `mean` for\n",
     "example).\n"
    ]
@@ -134,7 +134,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# pull out dataarray using dot notation\n",
+    "# pull out DataArray using attribute-like syntax notation\n",
     "ds.air"
    ]
   },
@@ -341,20 +341,6 @@
     "<img src=\"https://docs.xarray.dev/en/stable/_images/dataset-diagram.png\" align=\"center\" width=\"50%\">"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Exercise\n",
-    "\n",
-    "In this exercise the air dataset has been deconstructed into a dictionary of NumPy arrays. Please\n",
-    "\n",
-    "- Build a Dataset from scratch from this dictionary of NumPy arrays.\n",
-    "\n",
-    "\n",
-    "Hint: You will want to start by building DataArrays, then combining them into a Dataset.\n"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -372,10 +358,42 @@
     "    }\n",
     "\n",
     "\n",
-    "data = air_as_dictionary()\n",
+    "data = air_as_dictionary()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Exercise"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "::::{admonition} Exercise\n",
+    ":class: tip\n",
+    "\n",
+    "In this exercise the air dataset has been deconstructed into a dictionary of NumPy arrays. Please\n",
+    "\n",
+    "- Build a Dataset from scratch from this dictionary of NumPy arrays.\n",
+    "\n",
+    ":::{admonition} Hint\n",
+    ":class: dropdown\n",
+    "\n",
+    "Hint: You will want to start by building DataArrays. You can start with something like `xr.DataArray(data=data['air-temp']...`\n",
     "\n",
+    ":::\n",
     "\n",
-    "# Your code here"
+    ":::{admonition} Solution\n",
+    ":class: dropdown\n",
+    "\n",
+    "```python\n",
+    "xr.DataArray(data=data['air-temp'], coords={'time':data['time'], 'lat':data['lat'], 'lon':data['lon']}).to_dataset(name='air_temp')\n",
+    "```\n",
+    ":::\n",
+    "::::"
    ]
   },
   {
@@ -596,7 +614,7 @@
     "\n",
     "Dataset of non-alignable data.\n",
     "\n",
-    "For this exercise we will be using the `\"precipitation\"` example data. This data has two parts observed rainfall (`observed`), and predicted rainfall, on a different lat-lon grid. The next cell calls a function that will give you two different Datasets. Try to combine them using the tools we've discussed thus far and observe what goes wrong.\n"
+    "For this exercise we will be using the `\"precipitation\"` example data. This data has two groups, observed precipitation (`observed`), and model precipitation, on a different lat-lon grid. The next cell calls a function that will give you two different Datasets. Try to combine them using the tools we've discussed thus far and observe what goes wrong.\n"
    ]
   },
   {
@@ -610,43 +628,12 @@
     "observed = xr.Dataset(tree[\"reanalysis\"])"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "For more see the [user guide](https://docs.xarray.dev/en/stable/plotting.html), the [gallery](https://docs.xarray.dev/en/stable/examples/visualization_gallery.html), and [the tutorial material](https://tutorial.xarray.dev/fundamentals/04.0_plotting.html)."
    ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": []
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
diff --git a/workshops/scipy2026/index.ipynb b/workshops/scipy2026/index.ipynb
index 9ad3538c..ffc5b08f 100644
--- a/workshops/scipy2026/index.ipynb
+++ b/workshops/scipy2026/index.ipynb
@@ -9,8 +9,6 @@
     "\n",
     "## Welcome to the Xarray SciPy 2026 Tutorial! \n",
     "\n",
-    "> 🚧👷‍♀️🏗️ This page is under construction. Please check back later.\n",
-    "\n",
     "<img src=\"https://images.squarespace-cdn.com/content/v1/69223993a619b0382ba1b905/9ef1aa1c-4fab-404d-818c-17edcb653166/Horizontal.png?format=1500w\" align=\"right\" width=\"20%\">\n",
     "\n",
     "**Everything is an Xarray Dataset**\n",