update docs dependencies

docs/tutorials/dmrpp-virtualizarr.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Creating cloud optimized reference files with earthaccess and virtualizarr\n",
+    "# Cloud optimized access to NASA data with earthaccess and virtualizarr\n",
     "This notebook will focus on the usage of `earthaccess.open_virtual_dataset` and `earthaccess.open_virtual_mfdataset` to create cloud optimized reference files for the data stored in the cloud.\n",
     "\n",
     "All of the examples in this tutorial load data over https (`access=\"indirect\"`). However, there is a **significant** speed improvement when using these functions in-cloud and enabling `access=\"direct\"`. For example, using managed cloud JupyterHubs like NASA VEDA or 2i2c Openscapes. This is because the data is streamed directly from cloud storage to cloud compute.\n",

mkdocs.yml

@@ -89,6 +89,7 @@ nav:
       - "Search and access of restricted datasets": "tutorials/restricted-datasets.ipynb"
       - "Reproducing NASA sea level rise infographic": "tutorials/SSL.ipynb"
       - "Accessing and visualizing EMIT data with a few lines of code": "tutorials/emit-earthaccess.ipynb"
+      - "Cloud optimized access to NASA data with earthaccess and virtualizarr": "tutorials/dmrpp-virtualizarr.ipynb"
   - USER REFERENCE:
       - API:
           - "Search and Access": "user-reference/api/api.md"

pyproject.toml

@@ -65,7 +65,8 @@ kerchunk = [
   "xarray",
 ]
 virtualizarr = [
-  "virtualizarr >=1.2.0"
+  "virtualizarr >=1.2.0",
+  "zarr",
 ]
 dev = [
   "bump-my-version >=0.10.0",
@@ -119,6 +120,7 @@ docs = [
     # See https://github.com/danielfrg/mkdocs-jupyter/issues/197
     "lxml-html-clean >=0.1.1",
     "dask>=2024.8.0",
+    "earthaccess[virtualizarr]",
     "cftime>=1.6.4",
 ]