diff --git a/src/toolkitMetadata.json b/src/toolkitMetadata.json
index 46dac79e30e0924f516fefe11094cca83c136bf6..3d49603f0dc096eb6b6de02cb35771418fcc666c 100644
--- a/src/toolkitMetadata.json
+++ b/src/toolkitMetadata.json
@@ -431,6 +431,46 @@
         ]
       }
     },
+    {
+      "authors": [
+        "Gabaj, \u0160imon",
+        "Kuban, Martin",
+        "Rigamonti, Santiago",
+        "Draxl, Claudia"
+      ],
+      "email": "gabajsim@physik.hu-berlin.de",
+      "title": "Electronic density-of-states similarity search",
+      "description": "This notebook shows how to compute the similarity of materials in terms of their electronic density-of-states (DOS), from data retrieved from the NOMAD Archive.",
+      "notebook_name": "dos_similarity_search.ipynb",
+      "url": "https://gitlab.mpcdf.mpg.de/nomad-lab/analytics-dos-similarity-search",
+      "link": "https://analytics-toolkit.nomad-coe.eu/hub/user-redirect/notebooks/tutorials/dos_similarity_search.ipynb",
+      "link_public": "https://analytics-toolkit.nomad-coe.eu/public/user-redirect/notebooks/tutorials/dos_similarity_search.ipynb",
+      "updated": "2022-30-03",
+      "flags": {
+        "featured": true,
+        "top_of_list": false,
+        "paper": false
+      },
+      "labels": {
+        "application_section": [
+          "Tutorials for artificial-intelligence methods"
+        ],
+        "application_system": [
+          "Binaries",
+          "Ternaries"
+        ],
+        "category": [
+          "intermediate_tutorial"
+        ],
+        "ai_methods": [
+          "Similarity search",
+          "Fingerprint"
+        ],
+        "platform": [
+          "jupyter"
+        ]
+      }
+    },
     {
       "authors": [
         "Bieniek, Bj\u00f6rn",