fix time series docs

docs/examples/time_series_example.ipynb

@@ -282,7 +282,7 @@
    "metadata": {},
    "source": [
     "## Example: HLSL30 GIF\n",
-    "The example below shows a weekly mosaic of imagery from the Harmonized Landsat Sentinel L30 (HLSL30) collection for the period from January to November 2024."
+    "The example below shows a weekly mosaic of imagery from the Harmonized Landsat Sentinel L30 (HLSL30) collection for the period from July through October 2021 in the area of the [Greenwood Fire](https://en.wikipedia.org/wiki/Greenwood_Fire)."
    ]
   },
   {
@@ -292,40 +292,41 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "minx, miny, maxx, maxy = -91.464,47.353,-90.466,47.974\n",
+    "minx, miny, maxx, maxy = -91.816,47.491,-91.359,47.716\n",
     "request = httpx.get(\n",
     "    f\"{titiler_endpoint}/timeseries/bbox/{minx},{miny},{maxx},{maxy}/512x512.gif\",\n",
     "    params={\n",
     "        \"concept_id\": \"C2021957657-LPCLOUD\",\n",
-    "        \"datetime\": \"2024-01-01T00:00:00Z/2024-11-30T00:00:00Z\",\n",
-    "        \"step\": \"P1W\",\n",
+    "        \"datetime\": \"2021-07-01T00:00:00Z/2021-10-30T00:00:00Z\",\n",
+    "        \"step\": \"P5D\",\n",
     "        \"temporal_mode\": \"interval\",\n",
     "        \"backend\": \"rasterio\",\n",
     "        \"bands_regex\":  \"B[0-9][0-9]\",\n",
     "        \"bands\": [\"B04\", \"B03\", \"B02\"],\n",
     "        \"color_formula\": \"Gamma RGB 3.5 Saturation 1.7 Sigmoidal RGB 15 0.35\",\n",
-    "        \"fps\": 5,\n",
+    "        \"fps\": 2,\n",
     "    },\n",
     "    timeout=None,\n",
     ")\n",
+    "\n",
     "display(Image(request.content))"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "6c466dbb-97cb-4dba-a540-4b5605eb5789",
+   "id": "4b60879b-20e9-4c4e-a2e1-4293bb78374f",
    "metadata": {},
    "source": [
     "## Example: sea surface temperature statistics\n",
     "The `/timeseries/statistics` endpoint will produce summary statistics for an AOI for all points along a timeseries.\n",
     "\n",
-    "The example below shows daily sea surface temperature summary statistics for the Gulf of Mexico from the GAMSSA dataset for the period from February 2022 through October 2024."
+    "The example below shows daily sea surface temperature summary statistics for the Gulf of Mexico from the GAMSSA dataset for the period from March 2022 through October 2024."
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "162b13b3-44af-42fa-965c-10f7d0528337",
+   "id": "7a9fffbe-2b49-48dd-abb3-ae558e2bcd52",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -340,7 +341,7 @@
     "    f\"{titiler_endpoint}/timeseries/statistics\",\n",
     "    params={\n",
     "        \"concept_id\": concept_id,\n",
-    "        \"datetime\": \"2022-02-01T00:00:01Z/2024-10-30T23:59:59Z\",\n",
+    "        \"datetime\": \"2022-03-01T00:00:01Z/2024-10-30T23:59:59Z\",\n",
     "        \"step\": \"P1D\",\n",
     "        \"temporal_mode\": \"point\",\n",
     "        \"variable\": \"analysed_sst\",\n",
@@ -349,6 +350,7 @@
     "    json=geojson.model_dump(exclude_none=True),\n",
     "    timeout=None,\n",
     ")\n",
+    "\n",
     "request.raise_for_status()\n",
     "response = request.json()"
    ]
@@ -487,6 +489,14 @@
     "LayerControl(collapsed=False).add_to(m)\n",
     "m"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ca3e8eb4-6d11-41d1-accf-b1e13e3366e1",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {