Update metainfo.json

metainfo.json

@@ -8,7 +8,7 @@
   "description": "In this tutorial, we will use Gaussian process regression, GPR (or equivalently, Kernel Ridge Regression, KRR) to train and predict charges of atoms in small organic molecules.",
   "url": "https://gitlab.mpcdf.mpg.de/nomad-lab/analytics-soap-atomic-charges",
   "link": "https://analytics-toolkit.nomad-coe.eu/hub/user-redirect/notebooks/tutorials/soap_atomic_charges.ipynb",
-  "link_public": "https://analytics-toolkit.nomad-coe.eu/public/user-redirect/notebooks/tutorials/soap-atomic-charges.ipynb",
+  "link_public": "https://analytics-toolkit.nomad-coe.eu/public/user-redirect/notebooks/tutorials/soap_atomic_charges.ipynb",
   "updated": "2019-06-01",
   "flags": {
     "featured": true,