Section 6: update WOUDC links

README.md

@@ -121,6 +121,8 @@ Then you can open port 8888 in the browser:
 Paste in the token you copied above:
 <img width="1000" height="800" alt="image" src="https://github.com/user-attachments/assets/adce8d62-52bb-4110-bdbb-479b61dca23a" />
 
+NOTE: Please consult [GitHub Codespaces documentation](https://docs.github.com/en/billing/concepts/product-billing/github-codespaces#free-and-billed-use-by-personal-accounts) for more information on personal GitHub accounts and free usage.
+
 ### Bugs and Issues
 
 All bugs, enhancements and issues are managed

web/docs/index.md

@@ -228,6 +228,8 @@ To run this workshop via GitHub Codespaces, please complete the following steps:
 
 Note that a GitHub account is required.
 
+NOTE: Please consult [GitHub Codespaces documentation](https://docs.github.com/en/billing/concepts/product-billing/github-codespaces#free-and-billed-use-by-personal-accounts) for more information on personal GitHub accounts and free usage.
+
 ### Binder
 
 There is a Cloud version of the Jupyter-Notebook-part of the workshop, 

workshop/jupyter/content/notebooks/02-geometry.ipynb

@@ -344,7 +344,7 @@
     "* What is the area of The Netherlands?\n",
     "* What is the distance between Amsterdam and Athens?\n",
     "* How long is The Donau?\n",
-    "* Do two features overlap or intersect? Does the Donau float through Romania?\n",
+    "* Do two features overlap or intersect? Does the Donau flow through Romania?\n",
     "* How does the common area of two features look like?\n",
     "* Create a buffer area around the feature.\n",
     "* ...\n",

workshop/jupyter/content/notebooks/06-data-analysis.ipynb

@@ -31,7 +31,7 @@
     "If you want to dive into\n",
     "a theoretical background, check out the [Dimensionally Extended nine-Intersection Model (DE-9IM)](https://en.wikipedia.org/wiki/DE-9IM).\n",
     "\n",
-    "We'll start simple, answering the question: **Does the Paraná float through Argentina?**. We'll use two National Earth datasets: Rivers and lakes (LineStrings) and (Admin-0) Countries. In spatial relationship-terms: *Is  the (Multi)LineString representing the Paraná crossing the (Multi)Polygon representing Argentina?\"*\n",
+    "We'll start simple, answering the question: **Does the Paraná flow through Argentina?**. We'll use two National Earth datasets: Rivers and lakes (LineStrings) and (Admin-0) Countries. In spatial relationship-terms: *Is  the (Multi)LineString representing the Paraná crossing the (Multi)Polygon representing Argentina?\"*\n",
     "\n",
     "We will follow these steps:\n",
     "\n",
@@ -41,7 +41,7 @@
     "* extract the Argentina feature Geometry  \n",
     "* apply the Shapely `crosses` function\n",
     "* advanced: list all DE-9IM relations of the two geometries\n",
-    "* advanced: through which countries does the Paraná float?\n"
+    "* advanced: through which countries does the Paraná flow?\n"
    ]
   },
   {
@@ -115,7 +115,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Does the Paraná float through Argentina?\n"
+    "### Does the Paraná flow through Argentina?\n"
    ]
   },
   {
@@ -157,7 +157,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Through which countries does the Paranà float?\n"
+    "### Through which countries does the Paranà flow?\n"
    ]
   },
   {
@@ -170,7 +170,7 @@
    },
    "outputs": [],
    "source": [
-    "print(\"The Paranà floats through:\")\n",
+    "print(\"The Paranà flows through:\")\n",
     "\n",
     "with fiona.open(\"../data/countries.gpkg\") as countries:\n",
     "    for feature in countries:\n",
@@ -190,7 +190,7 @@
     "\n",
     "Total ozone is measured in [Dobson units](https://en.wikipedia.org/wiki/Dobson_unit) with an acceptable range of 100 - 700 du.\n",
     "\n",
-    "Let's generate a time series plot based on downloading GeoJSON data (via [WFS](https://geo.woudc.org/ows?service=WFS&version=1.1.0&request=GetFeature&outputformat=GeoJSON&typename=totalozone&filter=%3Cogc:Filter%3E%3Cogc:And%3E%3CPropertyIsEqualTo%3E%3CPropertyName%3Eplatform_id%3C/PropertyName%3E%3CLiteral%3E493%3C/Literal%3E%3C/PropertyIsEqualTo%3E%3CPropertyIsEqualTo%3E%3CPropertyName%3Eplatform_type%3C/PropertyName%3E%3CLiteral%3ESTN%3C/Literal%3E%3C/PropertyIsEqualTo%3E%3Cogc:PropertyIsBetween%3E%3Cogc:PropertyName%3Einstance_datetime%3C/ogc:PropertyName%3E%3Cogc:LowerBoundary%3E1924-01-01%2000:00:00%3C/ogc:LowerBoundary%3E%3Cogc:UpperBoundary%3E2021-12-31%2023:59:59%3C/ogc:UpperBoundary%3E%3C/ogc:PropertyIsBetween%3E%3C/ogc:And%3E%3C/ogc:Filter%3E&sortby=instance_datetime%20DESC&startindex=0&maxfeatures=200000)) of the [CNRS Rio Gallegos station 493](https://woudc.org/data/stations/?id=493&lang=en) record of the data and do some basic range checking."
+    "Let's generate a time series plot based on downloading GeoJSON data (via [OGC API - Features](https://api.woudc.org/collections/totalozone/items?station_id=493&f=json&limit=1&sortby=-observation_date)) of the [CNRS Rio Gallegos station 493](https://woudc.org/en/data/stations/493) record of the data and do some basic range checking."
    ]
   },
   {
@@ -369,7 +369,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.3"
+   "version": "3.12.10"
   },
   "pycharm": {
    "stem_cell": {