notebook fixes

notebooks/Python/speciesgrids_demo.ipynb

@@ -6,7 +6,7 @@
    "source": [
     "# speciesgrids demo\n",
     "\n",
-    "This notebook demonstrates querying the speciesgrids data product using geopandas and duckdb. The examples use the `s3://obis-products/speciesgrids/h3_7/` remote datasource as default. To query a local copy instead, use the local file path.\n",
+    "This notebook demonstrates querying the speciesgrids data product using geopandas and duckdb. The examples use the `s3://obis-products/speciesgrids/h3_7/` remote datasource as default. To query a local copy instead for better performance, use the local file path.\n",
     "\n",
     "## Regional species list using duckdb\n",
     "\n",
@@ -54,7 +54,7 @@
    "source": [
     "## Species distributions using geopandas\n",
     "\n",
-    "This example uses geopandas to query the gridded product with H3 resolution 7 to obtain species distributions for the genus Abra, and lonboard to visualize the distributions on a map."
+    "This example uses geopandas to query the gridded product with H3 resolution 7 to obtain species distributions for the genus Gadus, and lonboard to visualize the distributions on a map."
    ]
   },
   {
@@ -67,7 +67,7 @@
     "import lonboard\n",
     "import seaborn as sns\n",
     "\n",
-    "filters = [(\"genus\", \"==\", \"Abra\")]\n",
+    "filters = [(\"genus\", \"==\", \"Gadus\")]\n",
     "gdf = geopandas.read_parquet(\"s3://obis-products/speciesgrids/h3_7/\", filters=filters)[[\"cell\", \"records\", \"geometry\", \"species\"]]\n",
     "\n",
     "def generate_colors(unique_species):\n",