diff --git a/notebooks/data-acquisition/03-download-sliiders-input-data.ipynb b/notebooks/data-acquisition/03-download-sliiders-input-data.ipynb
index 4775659..ef3e73f 100644
--- a/notebooks/data-acquisition/03-download-sliiders-input-data.ipynb
+++ b/notebooks/data-acquisition/03-download-sliiders-input-data.ipynb
@@ -527,12 +527,7 @@
     "with sset.PATH_GWDB_RAW.open(\"wb\") as f:\n",
     "    f.write(\n",
     "        requests.get(\n",
-    "            \"https://www.ubs.com/global/en/family-office-uhnw/reports/\"\n",
-    "            \"global-wealth-report-2023/_jcr_content/mainpar/toplevelgrid_5684475/col2/\"\n",
-    "            \"linklistnewlook/link_copy.0357374027.file/\"\n",
-    "            \"PS9jb250ZW50L2RhbS9hc3NldHMvd20vZ2xvYmFsL2ltZy9nbG9iYWwtZmFtaWx5LW9mZmljZS\"\n",
-    "            \"9kb2NzL2RhdGFib29rLWdsb2JhbC13ZWFsdGgtcmVwb3J0LTIwMjMtZW4ucGRm/\"\n",
-    "            \"databook-global-wealth-report-2023-en.pdf\"\n",
+    "            \"https://urldefense.us/v3/__https:/www.ubs.com/global/en/family-office-uhnw/reports/global-wealth-report-2023/_jcr_content/mainpar/toplevelgrid_5684475_1708633751/col1/innergrid/xcol1/actionbutton_copy_co.1784379955.file/PS9jb250ZW50L2RhbS9hc3NldHMvd20vZ2xvYmFsL2ltZy9nbG9iYWwtZmFtaWx5LW9mZmljZS9kb2NzL2d3ci0yMDIzLWVuLTIucGRm/gwr-2023-en-2.pdf__;!!PvBDto6Hs4WbVuu7!LkcjRnpeJpav7n7pccnu9GARkLWeYSdBrUR7_2wbXi9tKQiH0E3ypwI9h8cm0uHmnY0eFJ3da07dQQScVsUHry39Hg$\"\n",
     "        ).content\n",
     "    )"
    ]
@@ -1740,7 +1735,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.7"
+   "version": "3.12.2"
   },
   "widgets": {
    "application/vnd.jupyter.widget-state+json": {
diff --git a/notebooks/data-cleaning/01-clean-country-socioecon-data.ipynb b/notebooks/data-cleaning/01-clean-country-socioecon-data.ipynb
index 4dc6370..79e40aa 100644
--- a/notebooks/data-cleaning/01-clean-country-socioecon-data.ipynb
+++ b/notebooks/data-cleaning/01-clean-country-socioecon-data.ipynb
@@ -95,24 +95,6 @@
     ")"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "id": "dbff1f30-3dd4-4666-9df2-5358f456f5eb",
-   "metadata": {},
-   "source": [
-    "## Mangroves"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "1bc40d4b-ab6f-40de-b37f-cef0b2cffe6c",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "this = gpd.GeoDataFrame(geometry=[read_shapefile(sset.PATH_GLOBAL_MANGROVES_RAW).make_valid().unary_union], crs=4326).to_parquet(sset.PATH_GLOBAL_MANGROVES_INT)"
-   ]
-  },
   {
    "cell_type": "markdown",
    "id": "530700ee-d556-45c8-a254-1333a3a459c7",
@@ -1471,7 +1453,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.7"
+   "version": "3.12.2"
   },
   "widgets": {
    "application/vnd.jupyter.widget-state+json": {