diff --git a/stac_dist/wetness_index_city_of_luxembourg/wetness_index_city_of_luxembourg.json b/stac_dist/wetness_index_city_of_luxembourg/wetness_index_city_of_luxembourg.json
index aa7fb4df..4be9eebc 100644
--- a/stac_dist/wetness_index_city_of_luxembourg/wetness_index_city_of_luxembourg.json
+++ b/stac_dist/wetness_index_city_of_luxembourg/wetness_index_city_of_luxembourg.json
@@ -71,7 +71,6 @@
     "provenance_name": "LiDAR 2019 - Digital Terrain Model (DTM)",
     "preprocessing": "Calculation of TWI based on the Digital Terrain Model (DTM)",
     "source_data": "https://data.public.lu/fr/datasets/lidar-2019-modele-numerique-de-terrain-mnt/",
-    "apis": "AWS-S3 API",
     "access_control": "fairicube account required ",
     "datetime": "2019-01-01T00:00Z",
     "modification": null,
@@ -118,9 +117,31 @@
       "href": "../catalog.json",
       "type": "application/json",
       "title": "data-access catalog"
+    },
+    {
+      "example:container": false,
+      "example:language": "Python",
+      "type": "text/x-python",
+      "title": "AWS S3 bucket API",
+      "description": "The script shows how to open a gridded dataset stored on an S3 Bucket as an xarray DataSet",
+      "href": "https://github.com/FAIRiCUBE/common-code/blob/main/access_data_apis/access_s3_bucket.py",
+      "rel": "example"
     }
   ],
-  "assets": {},
+  "assets": {
+    "twi_2019_10m_b1": {
+      "href": "https://hub-fairicube0.s3.eu-central-1.amazonaws.com/data/d012_luxembourg/twi_2019_10m_b1.tif",
+      "roles": [
+        "data"
+      ]
+    },
+    "twi_2019_10m_b1_viz": {
+      "href": "https://hub-fairicube0.s3.eu-central-1.amazonaws.com/data/web/luxembourg/twi_2019_10m_b1_COG.tif",
+      "roles": [
+        "data"
+      ]
+    }
+  },
   "bbox": [
     6.069058507516138,
     49.56094657618465,