diff --git a/storage/layers/layers-de.json b/storage/layers/layers-de.json
index e524e5b08..9760e619d 100644
--- a/storage/layers/layers-de.json
+++ b/storage/layers/layers-de.json
@@ -88,7 +88,7 @@
     "type": "Cryosphere",
     "name": "Permafrost",
     "shortName": "Permafrost",
-    "description": "Permafrost is an Essential Climate Variable (ECV) within the Global Climate Observing System (GCOS), which is characterized by subsurface temperatures and the depth of the seasonal thaw layer. Complementing ground-based monitoring networks, the Permafrost CCI project is establishing Earth Observation (EO) based products for the permafrost ECV spanning the last two decades. Since ground temperature and thaw depth cannot be directly observed from space-borne sensors, a variety of satellite and reanalysis data are combined in a ground thermal model. The algorithm uses remotely sensed data sets of Land Surface Temperature and landcover to drive the transient permafrost model CryoGrid CCI, which yields thaw depth and ground temperature at various depths, while ground temperature at 2m forms the basis for permafrost fraction.\n\n**Variable Shown:** Permafrost Fraction in Percent  \n**Time Span:** 2003 – 2017  \n**Temporal Resolution:** yearly  \n**Geographic Extent:** 90° N – 30° N  \n**Spatial Resolution:** 2km  \n**Version:** 1.0  \n**DOI:** [10.5285/c7590fe40d8e44169d511c70a60ccbcc](http://dx.doi.org/10.5285/c7590fe40d8e44169d511c70a60ccbcc)  \n\n[ESA CCI Permafrost ECV Project website](https://climate.esa.int/projects/permafrost/)  \n[Data in the Open Data Portal](https://catalogue.ceda.ac.uk/uuid/c7590fe40d8e44169d511c70a60ccbcc)"
+    "description": "Permafrost is an Essential Climate Variable (ECV) within the Global Climate Observing System (GCOS), which is characterized by subsurface temperatures and the depth of the seasonal thaw layer. Complementing ground-based monitoring networks, the Permafrost CCI project is establishing Earth Observation (EO) based products for the permafrost ECV spanning the last two decades. Since ground temperature and thaw depth cannot be directly observed from space-borne sensors, a variety of satellite and reanalysis data are combined in a ground thermal model. The algorithm uses remotely sensed data sets of Land Surface Temperature and landcover to drive the transient permafrost model CryoGrid CCI, which yields thaw depth and ground temperature at various depths, while ground temperature at 2m forms the basis for permafrost fraction.\n\n**Variable Shown:** Permafrost Fraction in Percent  \n**Time Span:** 2003 – 2017  \n**Temporal Resolution:** yearly  \n**Geographic Extent:** 90° N – 30° N  \n**Spatial Resolution:** 1km  \n**Version:** 1.0  \n**DOI:** [10.5285/c7590fe40d8e44169d511c70a60ccbcc](http://dx.doi.org/10.5285/c7590fe40d8e44169d511c70a60ccbcc)  \n\n[ESA CCI Permafrost ECV Project website](https://climate.esa.int/projects/permafrost/)  \n[Data in the Open Data Portal](https://catalogue.ceda.ac.uk/uuid/c7590fe40d8e44169d511c70a60ccbcc)"
   },
   {
     "id": "land_cover.lccs_class",
diff --git a/storage/layers/layers-en.json b/storage/layers/layers-en.json
index e524e5b08..9760e619d 100644
--- a/storage/layers/layers-en.json
+++ b/storage/layers/layers-en.json
@@ -88,7 +88,7 @@
     "type": "Cryosphere",
     "name": "Permafrost",
     "shortName": "Permafrost",
-    "description": "Permafrost is an Essential Climate Variable (ECV) within the Global Climate Observing System (GCOS), which is characterized by subsurface temperatures and the depth of the seasonal thaw layer. Complementing ground-based monitoring networks, the Permafrost CCI project is establishing Earth Observation (EO) based products for the permafrost ECV spanning the last two decades. Since ground temperature and thaw depth cannot be directly observed from space-borne sensors, a variety of satellite and reanalysis data are combined in a ground thermal model. The algorithm uses remotely sensed data sets of Land Surface Temperature and landcover to drive the transient permafrost model CryoGrid CCI, which yields thaw depth and ground temperature at various depths, while ground temperature at 2m forms the basis for permafrost fraction.\n\n**Variable Shown:** Permafrost Fraction in Percent  \n**Time Span:** 2003 – 2017  \n**Temporal Resolution:** yearly  \n**Geographic Extent:** 90° N – 30° N  \n**Spatial Resolution:** 2km  \n**Version:** 1.0  \n**DOI:** [10.5285/c7590fe40d8e44169d511c70a60ccbcc](http://dx.doi.org/10.5285/c7590fe40d8e44169d511c70a60ccbcc)  \n\n[ESA CCI Permafrost ECV Project website](https://climate.esa.int/projects/permafrost/)  \n[Data in the Open Data Portal](https://catalogue.ceda.ac.uk/uuid/c7590fe40d8e44169d511c70a60ccbcc)"
+    "description": "Permafrost is an Essential Climate Variable (ECV) within the Global Climate Observing System (GCOS), which is characterized by subsurface temperatures and the depth of the seasonal thaw layer. Complementing ground-based monitoring networks, the Permafrost CCI project is establishing Earth Observation (EO) based products for the permafrost ECV spanning the last two decades. Since ground temperature and thaw depth cannot be directly observed from space-borne sensors, a variety of satellite and reanalysis data are combined in a ground thermal model. The algorithm uses remotely sensed data sets of Land Surface Temperature and landcover to drive the transient permafrost model CryoGrid CCI, which yields thaw depth and ground temperature at various depths, while ground temperature at 2m forms the basis for permafrost fraction.\n\n**Variable Shown:** Permafrost Fraction in Percent  \n**Time Span:** 2003 – 2017  \n**Temporal Resolution:** yearly  \n**Geographic Extent:** 90° N – 30° N  \n**Spatial Resolution:** 1km  \n**Version:** 1.0  \n**DOI:** [10.5285/c7590fe40d8e44169d511c70a60ccbcc](http://dx.doi.org/10.5285/c7590fe40d8e44169d511c70a60ccbcc)  \n\n[ESA CCI Permafrost ECV Project website](https://climate.esa.int/projects/permafrost/)  \n[Data in the Open Data Portal](https://catalogue.ceda.ac.uk/uuid/c7590fe40d8e44169d511c70a60ccbcc)"
   },
   {
     "id": "land_cover.lccs_class",
diff --git a/storage/layers/layers-es.json b/storage/layers/layers-es.json
index e524e5b08..9760e619d 100644
--- a/storage/layers/layers-es.json
+++ b/storage/layers/layers-es.json
@@ -88,7 +88,7 @@
     "type": "Cryosphere",
     "name": "Permafrost",
     "shortName": "Permafrost",
-    "description": "Permafrost is an Essential Climate Variable (ECV) within the Global Climate Observing System (GCOS), which is characterized by subsurface temperatures and the depth of the seasonal thaw layer. Complementing ground-based monitoring networks, the Permafrost CCI project is establishing Earth Observation (EO) based products for the permafrost ECV spanning the last two decades. Since ground temperature and thaw depth cannot be directly observed from space-borne sensors, a variety of satellite and reanalysis data are combined in a ground thermal model. The algorithm uses remotely sensed data sets of Land Surface Temperature and landcover to drive the transient permafrost model CryoGrid CCI, which yields thaw depth and ground temperature at various depths, while ground temperature at 2m forms the basis for permafrost fraction.\n\n**Variable Shown:** Permafrost Fraction in Percent  \n**Time Span:** 2003 – 2017  \n**Temporal Resolution:** yearly  \n**Geographic Extent:** 90° N – 30° N  \n**Spatial Resolution:** 2km  \n**Version:** 1.0  \n**DOI:** [10.5285/c7590fe40d8e44169d511c70a60ccbcc](http://dx.doi.org/10.5285/c7590fe40d8e44169d511c70a60ccbcc)  \n\n[ESA CCI Permafrost ECV Project website](https://climate.esa.int/projects/permafrost/)  \n[Data in the Open Data Portal](https://catalogue.ceda.ac.uk/uuid/c7590fe40d8e44169d511c70a60ccbcc)"
+    "description": "Permafrost is an Essential Climate Variable (ECV) within the Global Climate Observing System (GCOS), which is characterized by subsurface temperatures and the depth of the seasonal thaw layer. Complementing ground-based monitoring networks, the Permafrost CCI project is establishing Earth Observation (EO) based products for the permafrost ECV spanning the last two decades. Since ground temperature and thaw depth cannot be directly observed from space-borne sensors, a variety of satellite and reanalysis data are combined in a ground thermal model. The algorithm uses remotely sensed data sets of Land Surface Temperature and landcover to drive the transient permafrost model CryoGrid CCI, which yields thaw depth and ground temperature at various depths, while ground temperature at 2m forms the basis for permafrost fraction.\n\n**Variable Shown:** Permafrost Fraction in Percent  \n**Time Span:** 2003 – 2017  \n**Temporal Resolution:** yearly  \n**Geographic Extent:** 90° N – 30° N  \n**Spatial Resolution:** 1km  \n**Version:** 1.0  \n**DOI:** [10.5285/c7590fe40d8e44169d511c70a60ccbcc](http://dx.doi.org/10.5285/c7590fe40d8e44169d511c70a60ccbcc)  \n\n[ESA CCI Permafrost ECV Project website](https://climate.esa.int/projects/permafrost/)  \n[Data in the Open Data Portal](https://catalogue.ceda.ac.uk/uuid/c7590fe40d8e44169d511c70a60ccbcc)"
   },
   {
     "id": "land_cover.lccs_class",
diff --git a/storage/layers/layers-fr.json b/storage/layers/layers-fr.json
index e524e5b08..9760e619d 100644
--- a/storage/layers/layers-fr.json
+++ b/storage/layers/layers-fr.json
@@ -88,7 +88,7 @@
     "type": "Cryosphere",
     "name": "Permafrost",
     "shortName": "Permafrost",
-    "description": "Permafrost is an Essential Climate Variable (ECV) within the Global Climate Observing System (GCOS), which is characterized by subsurface temperatures and the depth of the seasonal thaw layer. Complementing ground-based monitoring networks, the Permafrost CCI project is establishing Earth Observation (EO) based products for the permafrost ECV spanning the last two decades. Since ground temperature and thaw depth cannot be directly observed from space-borne sensors, a variety of satellite and reanalysis data are combined in a ground thermal model. The algorithm uses remotely sensed data sets of Land Surface Temperature and landcover to drive the transient permafrost model CryoGrid CCI, which yields thaw depth and ground temperature at various depths, while ground temperature at 2m forms the basis for permafrost fraction.\n\n**Variable Shown:** Permafrost Fraction in Percent  \n**Time Span:** 2003 – 2017  \n**Temporal Resolution:** yearly  \n**Geographic Extent:** 90° N – 30° N  \n**Spatial Resolution:** 2km  \n**Version:** 1.0  \n**DOI:** [10.5285/c7590fe40d8e44169d511c70a60ccbcc](http://dx.doi.org/10.5285/c7590fe40d8e44169d511c70a60ccbcc)  \n\n[ESA CCI Permafrost ECV Project website](https://climate.esa.int/projects/permafrost/)  \n[Data in the Open Data Portal](https://catalogue.ceda.ac.uk/uuid/c7590fe40d8e44169d511c70a60ccbcc)"
+    "description": "Permafrost is an Essential Climate Variable (ECV) within the Global Climate Observing System (GCOS), which is characterized by subsurface temperatures and the depth of the seasonal thaw layer. Complementing ground-based monitoring networks, the Permafrost CCI project is establishing Earth Observation (EO) based products for the permafrost ECV spanning the last two decades. Since ground temperature and thaw depth cannot be directly observed from space-borne sensors, a variety of satellite and reanalysis data are combined in a ground thermal model. The algorithm uses remotely sensed data sets of Land Surface Temperature and landcover to drive the transient permafrost model CryoGrid CCI, which yields thaw depth and ground temperature at various depths, while ground temperature at 2m forms the basis for permafrost fraction.\n\n**Variable Shown:** Permafrost Fraction in Percent  \n**Time Span:** 2003 – 2017  \n**Temporal Resolution:** yearly  \n**Geographic Extent:** 90° N – 30° N  \n**Spatial Resolution:** 1km  \n**Version:** 1.0  \n**DOI:** [10.5285/c7590fe40d8e44169d511c70a60ccbcc](http://dx.doi.org/10.5285/c7590fe40d8e44169d511c70a60ccbcc)  \n\n[ESA CCI Permafrost ECV Project website](https://climate.esa.int/projects/permafrost/)  \n[Data in the Open Data Portal](https://catalogue.ceda.ac.uk/uuid/c7590fe40d8e44169d511c70a60ccbcc)"
   },
   {
     "id": "land_cover.lccs_class",
diff --git a/storage/layers/layers-nl.json b/storage/layers/layers-nl.json
index e524e5b08..9760e619d 100644
--- a/storage/layers/layers-nl.json
+++ b/storage/layers/layers-nl.json
@@ -88,7 +88,7 @@
     "type": "Cryosphere",
     "name": "Permafrost",
     "shortName": "Permafrost",
-    "description": "Permafrost is an Essential Climate Variable (ECV) within the Global Climate Observing System (GCOS), which is characterized by subsurface temperatures and the depth of the seasonal thaw layer. Complementing ground-based monitoring networks, the Permafrost CCI project is establishing Earth Observation (EO) based products for the permafrost ECV spanning the last two decades. Since ground temperature and thaw depth cannot be directly observed from space-borne sensors, a variety of satellite and reanalysis data are combined in a ground thermal model. The algorithm uses remotely sensed data sets of Land Surface Temperature and landcover to drive the transient permafrost model CryoGrid CCI, which yields thaw depth and ground temperature at various depths, while ground temperature at 2m forms the basis for permafrost fraction.\n\n**Variable Shown:** Permafrost Fraction in Percent  \n**Time Span:** 2003 – 2017  \n**Temporal Resolution:** yearly  \n**Geographic Extent:** 90° N – 30° N  \n**Spatial Resolution:** 2km  \n**Version:** 1.0  \n**DOI:** [10.5285/c7590fe40d8e44169d511c70a60ccbcc](http://dx.doi.org/10.5285/c7590fe40d8e44169d511c70a60ccbcc)  \n\n[ESA CCI Permafrost ECV Project website](https://climate.esa.int/projects/permafrost/)  \n[Data in the Open Data Portal](https://catalogue.ceda.ac.uk/uuid/c7590fe40d8e44169d511c70a60ccbcc)"
+    "description": "Permafrost is an Essential Climate Variable (ECV) within the Global Climate Observing System (GCOS), which is characterized by subsurface temperatures and the depth of the seasonal thaw layer. Complementing ground-based monitoring networks, the Permafrost CCI project is establishing Earth Observation (EO) based products for the permafrost ECV spanning the last two decades. Since ground temperature and thaw depth cannot be directly observed from space-borne sensors, a variety of satellite and reanalysis data are combined in a ground thermal model. The algorithm uses remotely sensed data sets of Land Surface Temperature and landcover to drive the transient permafrost model CryoGrid CCI, which yields thaw depth and ground temperature at various depths, while ground temperature at 2m forms the basis for permafrost fraction.\n\n**Variable Shown:** Permafrost Fraction in Percent  \n**Time Span:** 2003 – 2017  \n**Temporal Resolution:** yearly  \n**Geographic Extent:** 90° N – 30° N  \n**Spatial Resolution:** 1km  \n**Version:** 1.0  \n**DOI:** [10.5285/c7590fe40d8e44169d511c70a60ccbcc](http://dx.doi.org/10.5285/c7590fe40d8e44169d511c70a60ccbcc)  \n\n[ESA CCI Permafrost ECV Project website](https://climate.esa.int/projects/permafrost/)  \n[Data in the Open Data Portal](https://catalogue.ceda.ac.uk/uuid/c7590fe40d8e44169d511c70a60ccbcc)"
   },
   {
     "id": "land_cover.lccs_class",