CI: Update metainfo in the GUI

src/toolkitMetadata.json

@@ -59,6 +59,8 @@
       "title": "Atomic-features-package usage demonstration",
       "description": "In this tutorial, we show how the atomic-features-package can be accessed and used to explore the atomic features form various sources and to prepare the input features for machine-learning studies.",
       "url": "https://gitlab.mpcdf.mpg.de/nomad-lab/analytics-atomic-features",
+      "link": "https://analytics-toolkit.nomad-coe.eu/hub/user-redirect/notebooks/tutorials/atomic_features.ipynb",
+      "link_public": "https://analytics-toolkit.nomad-coe.eu/public/user-redirect/notebooks/tutorials/atomic_features.ipynb",
       "updated": "2021-12-07",
       "labels": {
         "application_system": [
@@ -748,8 +750,8 @@
       "title": "Finding a tolerance factor to predict perovskite stability with SISSO",
       "description": "This tutorial shows how a tolerance factor for predicting perovskite stability can be learned from data with the sure-independece-screening-and-sparsifying-operator (SISSO) descriptor-identification approach.",
       "url": "https://gitlab.mpcdf.mpg.de/nomad-lab/analytics-perovskite-tolerance-factor",
-      "link": "https://analytics-toolkit.nomad-coe.eu/hub/user-redirect/notebooks/tutorials/{tutorial}.ipynb",
-      "link_public": "https://analytics-toolkit.nomad-coe.eu/public/user-redirect/notebooks/tutorials/{tutorial}.ipynb",
+      "link": "https://analytics-toolkit.nomad-coe.eu/hub/user-redirect/notebooks/tutorials/perovskites_tolerance_factor.ipynb",
+      "link_public": "https://analytics-toolkit.nomad-coe.eu/public/user-redirect/notebooks/tutorials/perovskites_tolerance_factor.ipynb",
       "link_paper": "https://advances.sciencemag.org/content/advances/5/2/eaav0693.full.pdf",
       "link_doi_paper": "https://doi.org/10.1126/sciadv.aav0693",
       "updated": "2021-12-14",