diff --git a/current/catalog.json b/current/catalog.json
index 80e70a2e12..6ea28a785b 100644
--- a/current/catalog.json
+++ b/current/catalog.json
@@ -141,6 +141,12 @@
       "href": "./cfhp/collection.json",
       "type": "application/json",
       "title": "Coastal Hazard Flood Projections"
+    },
+    {
+      "rel": "child",
+      "href": "./slp/collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
     }
   ],
   "assets": {
diff --git a/current/slp/collection.json b/current/slp/collection.json
new file mode 100644
index 0000000000..bd4eb64f74
--- /dev/null
+++ b/current/slp/collection.json
@@ -0,0 +1,885 @@
+{
+  "type": "Collection",
+  "id": "slp",
+  "stac_version": "1.0.0",
+  "description": "The MSL_CIS_HIGH-END dataset provides AR6-based regional mean sea level projections following the High-end in 2030, 2040, 2050, 2060, 2070, 2080, 2090, 2100, 2110, 2120, 2130, 2140 and 2150 with respect to the baseline period 1995-2014 at a resolution of 1\u00b0 x 1\u00b0.",
+  "links": [
+    {
+      "rel": "item",
+      "href": "./items/high_end/msl_h/2031.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/high_end/msl_h/2041.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/high_end/msl_h/2051.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/high_end/msl_h/2061.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/high_end/msl_h/2071.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/high_end/msl_h/2081.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/high_end/msl_h/2091.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/high_end/msl_h/2101.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/high_end/msl_h/2111.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/high_end/msl_h/2121.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/high_end/msl_h/2131.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/high_end/msl_h/2141.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/high_end/msl_h/2151.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/high_end/msl_m/2031.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/high_end/msl_m/2041.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/high_end/msl_m/2051.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/high_end/msl_m/2061.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/high_end/msl_m/2071.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/high_end/msl_m/2081.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/high_end/msl_m/2091.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/high_end/msl_m/2101.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/high_end/msl_m/2111.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/high_end/msl_m/2121.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/high_end/msl_m/2131.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/high_end/msl_m/2141.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/high_end/msl_m/2151.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/high_end/msl_l/2031.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/high_end/msl_l/2041.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/high_end/msl_l/2051.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/high_end/msl_l/2061.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/high_end/msl_l/2071.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/high_end/msl_l/2081.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/high_end/msl_l/2091.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/high_end/msl_l/2101.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/high_end/msl_l/2111.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/high_end/msl_l/2121.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/high_end/msl_l/2131.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/high_end/msl_l/2141.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/high_end/msl_l/2151.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp126/msl_h/2031.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp126/msl_h/2041.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp126/msl_h/2051.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp126/msl_h/2061.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp126/msl_h/2071.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp126/msl_h/2081.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp126/msl_h/2091.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp126/msl_h/2101.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp126/msl_h/2111.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp126/msl_h/2121.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp126/msl_h/2131.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp126/msl_h/2141.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp126/msl_h/2151.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp126/msl_m/2031.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp126/msl_m/2041.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp126/msl_m/2051.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp126/msl_m/2061.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp126/msl_m/2071.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp126/msl_m/2081.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp126/msl_m/2091.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp126/msl_m/2101.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp126/msl_m/2111.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp126/msl_m/2121.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp126/msl_m/2131.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp126/msl_m/2141.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp126/msl_m/2151.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp126/msl_l/2031.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp126/msl_l/2041.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp126/msl_l/2051.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp126/msl_l/2061.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp126/msl_l/2071.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp126/msl_l/2081.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp126/msl_l/2091.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp126/msl_l/2101.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp126/msl_l/2111.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp126/msl_l/2121.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp126/msl_l/2131.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp126/msl_l/2141.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp126/msl_l/2151.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp245/msl_h/2031.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp245/msl_h/2041.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp245/msl_h/2051.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp245/msl_h/2061.json",
+      "type": "application/json"
+    },
+    {
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+      "href": "./items/ssp245/msl_h/2071.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp245/msl_h/2081.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp245/msl_h/2091.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp245/msl_h/2101.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp245/msl_h/2111.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp245/msl_h/2121.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp245/msl_h/2131.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp245/msl_h/2141.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp245/msl_h/2151.json",
+      "type": "application/json"
+    },
+    {
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+      "href": "./items/ssp245/msl_m/2031.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp245/msl_m/2041.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp245/msl_m/2051.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp245/msl_m/2061.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp245/msl_m/2071.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp245/msl_m/2081.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp245/msl_m/2091.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp245/msl_m/2101.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp245/msl_m/2111.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp245/msl_m/2121.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp245/msl_m/2131.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp245/msl_m/2141.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp245/msl_m/2151.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp245/msl_l/2031.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp245/msl_l/2041.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp245/msl_l/2051.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp245/msl_l/2061.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp245/msl_l/2071.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp245/msl_l/2081.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp245/msl_l/2091.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp245/msl_l/2101.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp245/msl_l/2111.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp245/msl_l/2121.json",
+      "type": "application/json"
+    },
+    {
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+      "type": "application/json"
+    },
+    {
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+      "type": "application/json"
+    },
+    {
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+      "href": "./items/ssp245/msl_l/2151.json",
+      "type": "application/json"
+    },
+    {
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+      "href": "./items/ssp585/msl_h/2031.json",
+      "type": "application/json"
+    },
+    {
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+      "href": "./items/ssp585/msl_h/2041.json",
+      "type": "application/json"
+    },
+    {
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+      "href": "./items/ssp585/msl_h/2051.json",
+      "type": "application/json"
+    },
+    {
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+      "href": "./items/ssp585/msl_h/2061.json",
+      "type": "application/json"
+    },
+    {
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+      "href": "./items/ssp585/msl_h/2071.json",
+      "type": "application/json"
+    },
+    {
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+      "href": "./items/ssp585/msl_h/2081.json",
+      "type": "application/json"
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+    {
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+      "type": "application/json"
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+    {
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+      "type": "application/json"
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+    {
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+      "type": "application/json"
+    },
+    {
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+      "href": "./items/ssp585/msl_h/2121.json",
+      "type": "application/json"
+    },
+    {
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+      "type": "application/json"
+    },
+    {
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+      "type": "application/json"
+    },
+    {
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+      "href": "./items/ssp585/msl_h/2151.json",
+      "type": "application/json"
+    },
+    {
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+      "href": "./items/ssp585/msl_m/2031.json",
+      "type": "application/json"
+    },
+    {
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+      "href": "./items/ssp585/msl_m/2041.json",
+      "type": "application/json"
+    },
+    {
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+      "href": "./items/ssp585/msl_m/2051.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp585/msl_m/2061.json",
+      "type": "application/json"
+    },
+    {
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+      "href": "./items/ssp585/msl_m/2071.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp585/msl_m/2081.json",
+      "type": "application/json"
+    },
+    {
+      "rel": "item",
+      "href": "./items/ssp585/msl_m/2091.json",
+      "type": "application/json"
+    },
+    {
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+      "href": "./items/ssp585/msl_m/2101.json",
+      "type": "application/json"
+    },
+    {
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+}
\ No newline at end of file
diff --git a/current/slp/items/high_end/msl_h/2031.json b/current/slp/items/high_end/msl_h/2031.json
new file mode 100644
index 0000000000..4e7932c694
--- /dev/null
+++ b/current/slp/items/high_end/msl_h/2031.json
@@ -0,0 +1,120 @@
+{
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+      "title": "Global Sea Level Projections"
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+}
\ No newline at end of file
diff --git a/current/slp/items/high_end/msl_h/2041.json b/current/slp/items/high_end/msl_h/2041.json
new file mode 100644
index 0000000000..dcb7a5213d
--- /dev/null
+++ b/current/slp/items/high_end/msl_h/2041.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
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+      "title": "CoCliCo STAC Catalog"
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+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
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+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
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+}
\ No newline at end of file
diff --git a/current/slp/items/high_end/msl_h/2051.json b/current/slp/items/high_end/msl_h/2051.json
new file mode 100644
index 0000000000..796464480f
--- /dev/null
+++ b/current/slp/items/high_end/msl_h/2051.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
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+      ]
+    ]
+  },
+  "links": [
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+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    },
+    {
+      "rel": "root",
+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/high_end/msl_h/2051.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
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+      ]
+    }
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+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/high_end/msl_h/2061.json b/current/slp/items/high_end/msl_h/2061.json
new file mode 100644
index 0000000000..79a8bb010b
--- /dev/null
+++ b/current/slp/items/high_end/msl_h/2061.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "high_end\\msl_h\\2061.tif",
+  "properties": {
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+      "title": "CoCliCo STAC Catalog"
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+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
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+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/high_end/msl_h/2061.tif",
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+}
\ No newline at end of file
diff --git a/current/slp/items/high_end/msl_h/2071.json b/current/slp/items/high_end/msl_h/2071.json
new file mode 100644
index 0000000000..87070528e8
--- /dev/null
+++ b/current/slp/items/high_end/msl_h/2071.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
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+    ]
+  },
+  "links": [
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+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    },
+    {
+      "rel": "root",
+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/high_end/msl_h/2071.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
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+  },
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+  "stac_extensions": [
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+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/high_end/msl_h/2081.json b/current/slp/items/high_end/msl_h/2081.json
new file mode 100644
index 0000000000..697fc19a6d
--- /dev/null
+++ b/current/slp/items/high_end/msl_h/2081.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
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+}
\ No newline at end of file
diff --git a/current/slp/items/high_end/msl_h/2091.json b/current/slp/items/high_end/msl_h/2091.json
new file mode 100644
index 0000000000..3f1d1436d3
--- /dev/null
+++ b/current/slp/items/high_end/msl_h/2091.json
@@ -0,0 +1,120 @@
+{
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+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/high_end/msl_h/2091.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
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+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/high_end/msl_h/2101.json b/current/slp/items/high_end/msl_h/2101.json
new file mode 100644
index 0000000000..91d54ea7d5
--- /dev/null
+++ b/current/slp/items/high_end/msl_h/2101.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
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+      "title": "CoCliCo STAC Catalog"
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+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
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+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
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+}
\ No newline at end of file
diff --git a/current/slp/items/high_end/msl_h/2111.json b/current/slp/items/high_end/msl_h/2111.json
new file mode 100644
index 0000000000..20365319f5
--- /dev/null
+++ b/current/slp/items/high_end/msl_h/2111.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "high_end\\msl_h\\2111.tif",
+  "properties": {
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+      "title": "CoCliCo STAC Catalog"
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+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
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+}
\ No newline at end of file
diff --git a/current/slp/items/high_end/msl_h/2121.json b/current/slp/items/high_end/msl_h/2121.json
new file mode 100644
index 0000000000..021112e94c
--- /dev/null
+++ b/current/slp/items/high_end/msl_h/2121.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "high_end\\msl_h\\2121.tif",
+  "properties": {
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+  "links": [
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+      "title": "Global Sea Level Projections"
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+    {
+      "rel": "root",
+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/high_end/msl_h/2121.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
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+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/high_end/msl_h/2131.json b/current/slp/items/high_end/msl_h/2131.json
new file mode 100644
index 0000000000..79966d7304
--- /dev/null
+++ b/current/slp/items/high_end/msl_h/2131.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "high_end\\msl_h\\2131.tif",
+  "properties": {
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+      "title": "Global Sea Level Projections"
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+    {
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+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/high_end/msl_h/2131.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
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+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/high_end/msl_h/2141.json b/current/slp/items/high_end/msl_h/2141.json
new file mode 100644
index 0000000000..491b474011
--- /dev/null
+++ b/current/slp/items/high_end/msl_h/2141.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "high_end\\msl_h\\2141.tif",
+  "properties": {
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+  },
+  "links": [
+    {
+      "rel": "collection",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    },
+    {
+      "rel": "root",
+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/high_end/msl_h/2141.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
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+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/high_end/msl_h/2151.json b/current/slp/items/high_end/msl_h/2151.json
new file mode 100644
index 0000000000..ea320ad660
--- /dev/null
+++ b/current/slp/items/high_end/msl_h/2151.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
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+      "title": "Global Sea Level Projections"
+    },
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+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
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+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
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+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/high_end/msl_l/2031.json b/current/slp/items/high_end/msl_l/2031.json
new file mode 100644
index 0000000000..e4df5a992a
--- /dev/null
+++ b/current/slp/items/high_end/msl_l/2031.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "high_end\\msl_l\\2031.tif",
+  "properties": {
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+      360
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+  "links": [
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+      "type": "application/json",
+      "title": "Global Sea Level Projections"
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+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/high_end/msl_l/2031.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
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+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/high_end/msl_l/2041.json b/current/slp/items/high_end/msl_l/2041.json
new file mode 100644
index 0000000000..47d0210baf
--- /dev/null
+++ b/current/slp/items/high_end/msl_l/2041.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "high_end\\msl_l\\2041.tif",
+  "properties": {
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+    "proj:geometry": {
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+  "links": [
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+      "title": "Global Sea Level Projections"
+    },
+    {
+      "rel": "root",
+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/high_end/msl_l/2041.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
+      "roles": [
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+      ]
+    }
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+  "stac_extensions": [
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+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/high_end/msl_l/2051.json b/current/slp/items/high_end/msl_l/2051.json
new file mode 100644
index 0000000000..ece5522150
--- /dev/null
+++ b/current/slp/items/high_end/msl_l/2051.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "high_end\\msl_l\\2051.tif",
+  "properties": {
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+      "type": "Polygon",
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+    ]
+  },
+  "links": [
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+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    },
+    {
+      "rel": "root",
+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/high_end/msl_l/2051.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
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+      ]
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+  },
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+  "stac_extensions": [
+    "https://stac-extensions.github.io/projection/v1.1.0/schema.json"
+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/high_end/msl_l/2061.json b/current/slp/items/high_end/msl_l/2061.json
new file mode 100644
index 0000000000..8bc9df7bf9
--- /dev/null
+++ b/current/slp/items/high_end/msl_l/2061.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "high_end\\msl_l\\2061.tif",
+  "properties": {
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+  },
+  "links": [
+    {
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+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    },
+    {
+      "rel": "root",
+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/high_end/msl_l/2061.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
+      "roles": [
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+    90.5
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+  "stac_extensions": [
+    "https://stac-extensions.github.io/projection/v1.1.0/schema.json"
+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/high_end/msl_l/2071.json b/current/slp/items/high_end/msl_l/2071.json
new file mode 100644
index 0000000000..a3ca2d88d6
--- /dev/null
+++ b/current/slp/items/high_end/msl_l/2071.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "high_end\\msl_l\\2071.tif",
+  "properties": {
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+    "proj:geometry": {
+      "type": "Polygon",
+      "coordinates": [
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+    ]
+  },
+  "links": [
+    {
+      "rel": "collection",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    },
+    {
+      "rel": "root",
+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/high_end/msl_l/2071.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
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+      ]
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+    90.5
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+  "stac_extensions": [
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+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/high_end/msl_l/2081.json b/current/slp/items/high_end/msl_l/2081.json
new file mode 100644
index 0000000000..5e8e085565
--- /dev/null
+++ b/current/slp/items/high_end/msl_l/2081.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "high_end\\msl_l\\2081.tif",
+  "properties": {
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+    ]
+  },
+  "links": [
+    {
+      "rel": "collection",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    },
+    {
+      "rel": "root",
+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/high_end/msl_l/2081.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
+      "roles": [
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+  "stac_extensions": [
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+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/high_end/msl_l/2091.json b/current/slp/items/high_end/msl_l/2091.json
new file mode 100644
index 0000000000..9176daf97a
--- /dev/null
+++ b/current/slp/items/high_end/msl_l/2091.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "high_end\\msl_l\\2091.tif",
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+  },
+  "links": [
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+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    },
+    {
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+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
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+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/high_end/msl_l/2091.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
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+    "https://stac-extensions.github.io/projection/v1.1.0/schema.json"
+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/high_end/msl_l/2101.json b/current/slp/items/high_end/msl_l/2101.json
new file mode 100644
index 0000000000..81515d3d2e
--- /dev/null
+++ b/current/slp/items/high_end/msl_l/2101.json
@@ -0,0 +1,120 @@
+{
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+  "stac_version": "1.0.0",
+  "id": "high_end\\msl_l\\2101.tif",
+  "properties": {
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+  },
+  "links": [
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+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    },
+    {
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+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/high_end/msl_l/2101.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
+      "roles": [
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+    }
+  },
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+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/high_end/msl_l/2111.json b/current/slp/items/high_end/msl_l/2111.json
new file mode 100644
index 0000000000..d3f46c6027
--- /dev/null
+++ b/current/slp/items/high_end/msl_l/2111.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "high_end\\msl_l\\2111.tif",
+  "properties": {
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+    ],
+    "proj:epsg": 4326,
+    "proj:geometry": {
+      "type": "Polygon",
+      "coordinates": [
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+  },
+  "links": [
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+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    },
+    {
+      "rel": "root",
+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/high_end/msl_l/2111.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
+      "roles": [
+        "data"
+      ]
+    }
+  },
+  "bbox": [
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+    -90.5,
+    179.5,
+    90.5
+  ],
+  "stac_extensions": [
+    "https://stac-extensions.github.io/projection/v1.1.0/schema.json"
+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/high_end/msl_l/2121.json b/current/slp/items/high_end/msl_l/2121.json
new file mode 100644
index 0000000000..236fd67bda
--- /dev/null
+++ b/current/slp/items/high_end/msl_l/2121.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "high_end\\msl_l\\2121.tif",
+  "properties": {
+    "proj:bbox": [
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+      -90.5,
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+      90.5
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+      360
+    ],
+    "proj:epsg": 4326,
+    "proj:geometry": {
+      "type": "Polygon",
+      "coordinates": [
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+    ]
+  },
+  "links": [
+    {
+      "rel": "collection",
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+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    },
+    {
+      "rel": "root",
+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/high_end/msl_l/2121.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
+      "roles": [
+        "data"
+      ]
+    }
+  },
+  "bbox": [
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+    179.5,
+    90.5
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+  "stac_extensions": [
+    "https://stac-extensions.github.io/projection/v1.1.0/schema.json"
+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/high_end/msl_l/2131.json b/current/slp/items/high_end/msl_l/2131.json
new file mode 100644
index 0000000000..ba07afa45a
--- /dev/null
+++ b/current/slp/items/high_end/msl_l/2131.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "high_end\\msl_l\\2131.tif",
+  "properties": {
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+    "proj:geometry": {
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+      "coordinates": [
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+    "datetime": "2131-07-02T12:00:00Z"
+  },
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+    "type": "Polygon",
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+        ]
+      ]
+    ]
+  },
+  "links": [
+    {
+      "rel": "collection",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    },
+    {
+      "rel": "root",
+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/high_end/msl_l/2131.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
+      "roles": [
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+      ]
+    }
+  },
+  "bbox": [
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+    90.5
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+  "stac_extensions": [
+    "https://stac-extensions.github.io/projection/v1.1.0/schema.json"
+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/high_end/msl_l/2141.json b/current/slp/items/high_end/msl_l/2141.json
new file mode 100644
index 0000000000..6ca865e84a
--- /dev/null
+++ b/current/slp/items/high_end/msl_l/2141.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "high_end\\msl_l\\2141.tif",
+  "properties": {
+    "proj:bbox": [
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+      90.5
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+    "proj:shape": [
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+      360
+    ],
+    "proj:epsg": 4326,
+    "proj:geometry": {
+      "type": "Polygon",
+      "coordinates": [
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+    "datetime": "2141-07-02T12:00:00Z"
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+    ]
+  },
+  "links": [
+    {
+      "rel": "collection",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    },
+    {
+      "rel": "root",
+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/high_end/msl_l/2141.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
+      "roles": [
+        "data"
+      ]
+    }
+  },
+  "bbox": [
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+    -90.5,
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+    90.5
+  ],
+  "stac_extensions": [
+    "https://stac-extensions.github.io/projection/v1.1.0/schema.json"
+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/high_end/msl_l/2151.json b/current/slp/items/high_end/msl_l/2151.json
new file mode 100644
index 0000000000..f9771e6276
--- /dev/null
+++ b/current/slp/items/high_end/msl_l/2151.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "high_end\\msl_l\\2151.tif",
+  "properties": {
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+    "proj:epsg": 4326,
+    "proj:geometry": {
+      "type": "Polygon",
+      "coordinates": [
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+    ]
+  },
+  "links": [
+    {
+      "rel": "collection",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    },
+    {
+      "rel": "root",
+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/high_end/msl_l/2151.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
+      "roles": [
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+  },
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+  "stac_extensions": [
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+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/high_end/msl_m/2031.json b/current/slp/items/high_end/msl_m/2031.json
new file mode 100644
index 0000000000..193c1c5b28
--- /dev/null
+++ b/current/slp/items/high_end/msl_m/2031.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "high_end\\msl_m\\2031.tif",
+  "properties": {
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+    ]
+  },
+  "links": [
+    {
+      "rel": "collection",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    },
+    {
+      "rel": "root",
+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/high_end/msl_m/2031.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
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+    -90.5,
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+    90.5
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+  "stac_extensions": [
+    "https://stac-extensions.github.io/projection/v1.1.0/schema.json"
+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/high_end/msl_m/2041.json b/current/slp/items/high_end/msl_m/2041.json
new file mode 100644
index 0000000000..9d8da9617c
--- /dev/null
+++ b/current/slp/items/high_end/msl_m/2041.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "high_end\\msl_m\\2041.tif",
+  "properties": {
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+      -90.5,
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+      90.5
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+    "proj:shape": [
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+      360
+    ],
+    "proj:epsg": 4326,
+    "proj:geometry": {
+      "type": "Polygon",
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+      0.0,
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+    "datetime": "2041-07-02T12:00:00Z"
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+  },
+  "links": [
+    {
+      "rel": "collection",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    },
+    {
+      "rel": "root",
+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/high_end/msl_m/2041.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
+      "roles": [
+        "data"
+      ]
+    }
+  },
+  "bbox": [
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+    -90.5,
+    179.5,
+    90.5
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+  "stac_extensions": [
+    "https://stac-extensions.github.io/projection/v1.1.0/schema.json"
+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/high_end/msl_m/2051.json b/current/slp/items/high_end/msl_m/2051.json
new file mode 100644
index 0000000000..6d53fc95be
--- /dev/null
+++ b/current/slp/items/high_end/msl_m/2051.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "high_end\\msl_m\\2051.tif",
+  "properties": {
+    "proj:bbox": [
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+      -90.5,
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+      90.5
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+    "proj:shape": [
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+      360
+    ],
+    "proj:epsg": 4326,
+    "proj:geometry": {
+      "type": "Polygon",
+      "coordinates": [
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+            -90.5
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+          ]
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+      0.0,
+      -1.0,
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+    "datetime": "2051-07-02T12:00:00Z"
+  },
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+    "type": "Polygon",
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+    ]
+  },
+  "links": [
+    {
+      "rel": "collection",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    },
+    {
+      "rel": "root",
+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/high_end/msl_m/2051.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
+      "roles": [
+        "data"
+      ]
+    }
+  },
+  "bbox": [
+    -180.5,
+    -90.5,
+    179.5,
+    90.5
+  ],
+  "stac_extensions": [
+    "https://stac-extensions.github.io/projection/v1.1.0/schema.json"
+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/high_end/msl_m/2061.json b/current/slp/items/high_end/msl_m/2061.json
new file mode 100644
index 0000000000..daa8d8eb93
--- /dev/null
+++ b/current/slp/items/high_end/msl_m/2061.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "high_end\\msl_m\\2061.tif",
+  "properties": {
+    "proj:bbox": [
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+      -90.5,
+      179.5,
+      90.5
+    ],
+    "proj:shape": [
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+      360
+    ],
+    "proj:epsg": 4326,
+    "proj:geometry": {
+      "type": "Polygon",
+      "coordinates": [
+        [
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+            -90.5
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+            -90.5
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+      0.0,
+      -1.0,
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+    ],
+    "datetime": "2061-07-02T12:00:00Z"
+  },
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+    "type": "Polygon",
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+        ]
+      ]
+    ]
+  },
+  "links": [
+    {
+      "rel": "collection",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    },
+    {
+      "rel": "root",
+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/high_end/msl_m/2061.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
+      "roles": [
+        "data"
+      ]
+    }
+  },
+  "bbox": [
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+    -90.5,
+    179.5,
+    90.5
+  ],
+  "stac_extensions": [
+    "https://stac-extensions.github.io/projection/v1.1.0/schema.json"
+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/high_end/msl_m/2071.json b/current/slp/items/high_end/msl_m/2071.json
new file mode 100644
index 0000000000..bcf9b6da04
--- /dev/null
+++ b/current/slp/items/high_end/msl_m/2071.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "high_end\\msl_m\\2071.tif",
+  "properties": {
+    "proj:bbox": [
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+      -90.5,
+      179.5,
+      90.5
+    ],
+    "proj:shape": [
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+      360
+    ],
+    "proj:epsg": 4326,
+    "proj:geometry": {
+      "type": "Polygon",
+      "coordinates": [
+        [
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+            90.5
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+            -90.5
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+        ]
+      ]
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+    "proj:transform": [
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+      0.0,
+      -1.0,
+      90.5
+    ],
+    "datetime": "2071-07-02T12:00:00Z"
+  },
+  "geometry": {
+    "type": "Polygon",
+    "coordinates": [
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+        ]
+      ]
+    ]
+  },
+  "links": [
+    {
+      "rel": "collection",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    },
+    {
+      "rel": "root",
+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/high_end/msl_m/2071.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
+      "roles": [
+        "data"
+      ]
+    }
+  },
+  "bbox": [
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+    -90.5,
+    179.5,
+    90.5
+  ],
+  "stac_extensions": [
+    "https://stac-extensions.github.io/projection/v1.1.0/schema.json"
+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/high_end/msl_m/2081.json b/current/slp/items/high_end/msl_m/2081.json
new file mode 100644
index 0000000000..eb03d1cf0a
--- /dev/null
+++ b/current/slp/items/high_end/msl_m/2081.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "high_end\\msl_m\\2081.tif",
+  "properties": {
+    "proj:bbox": [
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+      -90.5,
+      179.5,
+      90.5
+    ],
+    "proj:shape": [
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+      360
+    ],
+    "proj:epsg": 4326,
+    "proj:geometry": {
+      "type": "Polygon",
+      "coordinates": [
+        [
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+            179.5,
+            -90.5
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+      0.0,
+      -1.0,
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+    ],
+    "datetime": "2081-07-02T12:00:00Z"
+  },
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+        ],
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+        ]
+      ]
+    ]
+  },
+  "links": [
+    {
+      "rel": "collection",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    },
+    {
+      "rel": "root",
+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/high_end/msl_m/2081.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
+      "roles": [
+        "data"
+      ]
+    }
+  },
+  "bbox": [
+    -180.5,
+    -90.5,
+    179.5,
+    90.5
+  ],
+  "stac_extensions": [
+    "https://stac-extensions.github.io/projection/v1.1.0/schema.json"
+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/high_end/msl_m/2091.json b/current/slp/items/high_end/msl_m/2091.json
new file mode 100644
index 0000000000..2e17c25c47
--- /dev/null
+++ b/current/slp/items/high_end/msl_m/2091.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "high_end\\msl_m\\2091.tif",
+  "properties": {
+    "proj:bbox": [
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+      -90.5,
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+      90.5
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+    "proj:shape": [
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+      360
+    ],
+    "proj:epsg": 4326,
+    "proj:geometry": {
+      "type": "Polygon",
+      "coordinates": [
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+    "datetime": "2091-07-02T12:00:00Z"
+  },
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+        ]
+      ]
+    ]
+  },
+  "links": [
+    {
+      "rel": "collection",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    },
+    {
+      "rel": "root",
+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/high_end/msl_m/2091.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
+      "roles": [
+        "data"
+      ]
+    }
+  },
+  "bbox": [
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+    179.5,
+    90.5
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+  "stac_extensions": [
+    "https://stac-extensions.github.io/projection/v1.1.0/schema.json"
+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/high_end/msl_m/2101.json b/current/slp/items/high_end/msl_m/2101.json
new file mode 100644
index 0000000000..cabd245480
--- /dev/null
+++ b/current/slp/items/high_end/msl_m/2101.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "high_end\\msl_m\\2101.tif",
+  "properties": {
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+      360
+    ],
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+    "proj:geometry": {
+      "type": "Polygon",
+      "coordinates": [
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+    "datetime": "2101-07-02T12:00:00Z"
+  },
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+      ]
+    ]
+  },
+  "links": [
+    {
+      "rel": "collection",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    },
+    {
+      "rel": "root",
+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/high_end/msl_m/2101.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
+      "roles": [
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+      ]
+    }
+  },
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+  "stac_extensions": [
+    "https://stac-extensions.github.io/projection/v1.1.0/schema.json"
+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/high_end/msl_m/2111.json b/current/slp/items/high_end/msl_m/2111.json
new file mode 100644
index 0000000000..c16ae96fb1
--- /dev/null
+++ b/current/slp/items/high_end/msl_m/2111.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "high_end\\msl_m\\2111.tif",
+  "properties": {
+    "proj:bbox": [
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+      -90.5,
+      179.5,
+      90.5
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+    "proj:shape": [
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+      360
+    ],
+    "proj:epsg": 4326,
+    "proj:geometry": {
+      "type": "Polygon",
+      "coordinates": [
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+            90.5
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+            -180.5,
+            -90.5
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+  },
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+  },
+  "links": [
+    {
+      "rel": "collection",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    },
+    {
+      "rel": "root",
+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/high_end/msl_m/2111.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
+      "roles": [
+        "data"
+      ]
+    }
+  },
+  "bbox": [
+    -180.5,
+    -90.5,
+    179.5,
+    90.5
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+  "stac_extensions": [
+    "https://stac-extensions.github.io/projection/v1.1.0/schema.json"
+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/high_end/msl_m/2121.json b/current/slp/items/high_end/msl_m/2121.json
new file mode 100644
index 0000000000..0079a30bec
--- /dev/null
+++ b/current/slp/items/high_end/msl_m/2121.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "high_end\\msl_m\\2121.tif",
+  "properties": {
+    "proj:bbox": [
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+      -90.5,
+      179.5,
+      90.5
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+    "proj:shape": [
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+      360
+    ],
+    "proj:epsg": 4326,
+    "proj:geometry": {
+      "type": "Polygon",
+      "coordinates": [
+        [
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+            179.5,
+            -90.5
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+            90.5
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+            -180.5,
+            -90.5
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+            -90.5
+          ]
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+      0.0,
+      -1.0,
+      90.5
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+    "datetime": "2121-07-02T12:00:00Z"
+  },
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+    "type": "Polygon",
+    "coordinates": [
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+          179.5,
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+        ]
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+    ]
+  },
+  "links": [
+    {
+      "rel": "collection",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    },
+    {
+      "rel": "root",
+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/high_end/msl_m/2121.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
+      "roles": [
+        "data"
+      ]
+    }
+  },
+  "bbox": [
+    -180.5,
+    -90.5,
+    179.5,
+    90.5
+  ],
+  "stac_extensions": [
+    "https://stac-extensions.github.io/projection/v1.1.0/schema.json"
+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/high_end/msl_m/2131.json b/current/slp/items/high_end/msl_m/2131.json
new file mode 100644
index 0000000000..dd800eef63
--- /dev/null
+++ b/current/slp/items/high_end/msl_m/2131.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "high_end\\msl_m\\2131.tif",
+  "properties": {
+    "proj:bbox": [
+      -180.5,
+      -90.5,
+      179.5,
+      90.5
+    ],
+    "proj:shape": [
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+      360
+    ],
+    "proj:epsg": 4326,
+    "proj:geometry": {
+      "type": "Polygon",
+      "coordinates": [
+        [
+          [
+            179.5,
+            -90.5
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+            90.5
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+            -180.5,
+            -90.5
+          ],
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+            -90.5
+          ]
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+    "proj:transform": [
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+      0.0,
+      -1.0,
+      90.5
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+    "datetime": "2131-07-02T12:00:00Z"
+  },
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+    "type": "Polygon",
+    "coordinates": [
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+        ]
+      ]
+    ]
+  },
+  "links": [
+    {
+      "rel": "collection",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    },
+    {
+      "rel": "root",
+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/high_end/msl_m/2131.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
+      "roles": [
+        "data"
+      ]
+    }
+  },
+  "bbox": [
+    -180.5,
+    -90.5,
+    179.5,
+    90.5
+  ],
+  "stac_extensions": [
+    "https://stac-extensions.github.io/projection/v1.1.0/schema.json"
+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/high_end/msl_m/2141.json b/current/slp/items/high_end/msl_m/2141.json
new file mode 100644
index 0000000000..494f5e63c6
--- /dev/null
+++ b/current/slp/items/high_end/msl_m/2141.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "high_end\\msl_m\\2141.tif",
+  "properties": {
+    "proj:bbox": [
+      -180.5,
+      -90.5,
+      179.5,
+      90.5
+    ],
+    "proj:shape": [
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+      360
+    ],
+    "proj:epsg": 4326,
+    "proj:geometry": {
+      "type": "Polygon",
+      "coordinates": [
+        [
+          [
+            179.5,
+            -90.5
+          ],
+          [
+            179.5,
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+          ],
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+            90.5
+          ],
+          [
+            -180.5,
+            -90.5
+          ],
+          [
+            179.5,
+            -90.5
+          ]
+        ]
+      ]
+    },
+    "proj:transform": [
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+      -180.5,
+      0.0,
+      -1.0,
+      90.5
+    ],
+    "datetime": "2141-07-02T12:00:00Z"
+  },
+  "geometry": {
+    "type": "Polygon",
+    "coordinates": [
+      [
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+          -90.5
+        ],
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+          179.5,
+          -90.5
+        ]
+      ]
+    ]
+  },
+  "links": [
+    {
+      "rel": "collection",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    },
+    {
+      "rel": "root",
+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/high_end/msl_m/2141.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
+      "roles": [
+        "data"
+      ]
+    }
+  },
+  "bbox": [
+    -180.5,
+    -90.5,
+    179.5,
+    90.5
+  ],
+  "stac_extensions": [
+    "https://stac-extensions.github.io/projection/v1.1.0/schema.json"
+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/high_end/msl_m/2151.json b/current/slp/items/high_end/msl_m/2151.json
new file mode 100644
index 0000000000..ee94aaac5e
--- /dev/null
+++ b/current/slp/items/high_end/msl_m/2151.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "high_end\\msl_m\\2151.tif",
+  "properties": {
+    "proj:bbox": [
+      -180.5,
+      -90.5,
+      179.5,
+      90.5
+    ],
+    "proj:shape": [
+      181,
+      360
+    ],
+    "proj:epsg": 4326,
+    "proj:geometry": {
+      "type": "Polygon",
+      "coordinates": [
+        [
+          [
+            179.5,
+            -90.5
+          ],
+          [
+            179.5,
+            90.5
+          ],
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+            90.5
+          ],
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+            -180.5,
+            -90.5
+          ],
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+            179.5,
+            -90.5
+          ]
+        ]
+      ]
+    },
+    "proj:transform": [
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+      -180.5,
+      0.0,
+      -1.0,
+      90.5
+    ],
+    "datetime": "2151-07-02T12:00:00Z"
+  },
+  "geometry": {
+    "type": "Polygon",
+    "coordinates": [
+      [
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+          -90.5
+        ],
+        [
+          179.5,
+          -90.5
+        ]
+      ]
+    ]
+  },
+  "links": [
+    {
+      "rel": "collection",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    },
+    {
+      "rel": "root",
+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/high_end/msl_m/2151.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
+      "roles": [
+        "data"
+      ]
+    }
+  },
+  "bbox": [
+    -180.5,
+    -90.5,
+    179.5,
+    90.5
+  ],
+  "stac_extensions": [
+    "https://stac-extensions.github.io/projection/v1.1.0/schema.json"
+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/ssp126/msl_h/2031.json b/current/slp/items/ssp126/msl_h/2031.json
new file mode 100644
index 0000000000..5d2fefbfb5
--- /dev/null
+++ b/current/slp/items/ssp126/msl_h/2031.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "ssp126\\msl_h\\2031.tif",
+  "properties": {
+    "proj:bbox": [
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+      -90.5,
+      179.5,
+      90.5
+    ],
+    "proj:shape": [
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+      360
+    ],
+    "proj:epsg": 4326,
+    "proj:geometry": {
+      "type": "Polygon",
+      "coordinates": [
+        [
+          [
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+            -90.5
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+            90.5
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+            -90.5
+          ],
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+            179.5,
+            -90.5
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+      0.0,
+      -1.0,
+      90.5
+    ],
+    "datetime": "2031-07-02T12:00:00Z"
+  },
+  "geometry": {
+    "type": "Polygon",
+    "coordinates": [
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+        ],
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+          179.5,
+          -90.5
+        ]
+      ]
+    ]
+  },
+  "links": [
+    {
+      "rel": "collection",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    },
+    {
+      "rel": "root",
+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp126/msl_h/2031.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
+      "roles": [
+        "data"
+      ]
+    }
+  },
+  "bbox": [
+    -180.5,
+    -90.5,
+    179.5,
+    90.5
+  ],
+  "stac_extensions": [
+    "https://stac-extensions.github.io/projection/v1.1.0/schema.json"
+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/ssp126/msl_h/2041.json b/current/slp/items/ssp126/msl_h/2041.json
new file mode 100644
index 0000000000..9b6fc45fe9
--- /dev/null
+++ b/current/slp/items/ssp126/msl_h/2041.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "ssp126\\msl_h\\2041.tif",
+  "properties": {
+    "proj:bbox": [
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+      -90.5,
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+      90.5
+    ],
+    "proj:shape": [
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+      360
+    ],
+    "proj:epsg": 4326,
+    "proj:geometry": {
+      "type": "Polygon",
+      "coordinates": [
+        [
+          [
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+            -90.5
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+          ],
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+            -90.5
+          ],
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+        ]
+      ]
+    },
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+      -1.0,
+      90.5
+    ],
+    "datetime": "2041-07-02T12:00:00Z"
+  },
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+    "type": "Polygon",
+    "coordinates": [
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+        ],
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+          179.5,
+          -90.5
+        ]
+      ]
+    ]
+  },
+  "links": [
+    {
+      "rel": "collection",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    },
+    {
+      "rel": "root",
+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp126/msl_h/2041.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
+      "roles": [
+        "data"
+      ]
+    }
+  },
+  "bbox": [
+    -180.5,
+    -90.5,
+    179.5,
+    90.5
+  ],
+  "stac_extensions": [
+    "https://stac-extensions.github.io/projection/v1.1.0/schema.json"
+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/ssp126/msl_h/2051.json b/current/slp/items/ssp126/msl_h/2051.json
new file mode 100644
index 0000000000..cedd0e940a
--- /dev/null
+++ b/current/slp/items/ssp126/msl_h/2051.json
@@ -0,0 +1,120 @@
+{
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp126/msl_h/2061.json b/current/slp/items/ssp126/msl_h/2061.json
new file mode 100644
index 0000000000..83c22a0b02
--- /dev/null
+++ b/current/slp/items/ssp126/msl_h/2061.json
@@ -0,0 +1,120 @@
+{
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+      "title": "Global Sea Level Projections"
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+  ],
+  "assets": {
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp126/msl_h/2071.json b/current/slp/items/ssp126/msl_h/2071.json
new file mode 100644
index 0000000000..5b785a60ac
--- /dev/null
+++ b/current/slp/items/ssp126/msl_h/2071.json
@@ -0,0 +1,120 @@
+{
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+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp126/msl_h/2081.json b/current/slp/items/ssp126/msl_h/2081.json
new file mode 100644
index 0000000000..3493701f0d
--- /dev/null
+++ b/current/slp/items/ssp126/msl_h/2081.json
@@ -0,0 +1,120 @@
+{
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+      "type": "application/json",
+      "title": "Global Sea Level Projections"
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+  ],
+  "assets": {
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp126/msl_h/2091.json b/current/slp/items/ssp126/msl_h/2091.json
new file mode 100644
index 0000000000..0cdb3b9eba
--- /dev/null
+++ b/current/slp/items/ssp126/msl_h/2091.json
@@ -0,0 +1,120 @@
+{
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+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
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+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp126/msl_h/2091.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp126/msl_h/2101.json b/current/slp/items/ssp126/msl_h/2101.json
new file mode 100644
index 0000000000..5b7284c57d
--- /dev/null
+++ b/current/slp/items/ssp126/msl_h/2101.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
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+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp126/msl_h/2111.json b/current/slp/items/ssp126/msl_h/2111.json
new file mode 100644
index 0000000000..d1c7e176e7
--- /dev/null
+++ b/current/slp/items/ssp126/msl_h/2111.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
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+  "links": [
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+    },
+    {
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+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
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+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
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+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp126/msl_h/2121.json b/current/slp/items/ssp126/msl_h/2121.json
new file mode 100644
index 0000000000..cac79d6f14
--- /dev/null
+++ b/current/slp/items/ssp126/msl_h/2121.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp126/msl_h/2131.json b/current/slp/items/ssp126/msl_h/2131.json
new file mode 100644
index 0000000000..6da45d6402
--- /dev/null
+++ b/current/slp/items/ssp126/msl_h/2131.json
@@ -0,0 +1,120 @@
+{
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp126/msl_h/2141.json b/current/slp/items/ssp126/msl_h/2141.json
new file mode 100644
index 0000000000..601db2e31c
--- /dev/null
+++ b/current/slp/items/ssp126/msl_h/2141.json
@@ -0,0 +1,120 @@
+{
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp126/msl_h/2151.json b/current/slp/items/ssp126/msl_h/2151.json
new file mode 100644
index 0000000000..328d360436
--- /dev/null
+++ b/current/slp/items/ssp126/msl_h/2151.json
@@ -0,0 +1,120 @@
+{
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+      "title": "Global Sea Level Projections"
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp126/msl_l/2031.json b/current/slp/items/ssp126/msl_l/2031.json
new file mode 100644
index 0000000000..84a4c05365
--- /dev/null
+++ b/current/slp/items/ssp126/msl_l/2031.json
@@ -0,0 +1,120 @@
+{
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+      "title": "CoCliCo STAC Catalog"
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+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp126/msl_l/2031.tif",
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp126/msl_l/2041.json b/current/slp/items/ssp126/msl_l/2041.json
new file mode 100644
index 0000000000..7cba0fadc4
--- /dev/null
+++ b/current/slp/items/ssp126/msl_l/2041.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
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+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp126/msl_l/2051.json b/current/slp/items/ssp126/msl_l/2051.json
new file mode 100644
index 0000000000..b0a2d4a4ed
--- /dev/null
+++ b/current/slp/items/ssp126/msl_l/2051.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
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+      "title": "CoCliCo STAC Catalog"
+    },
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+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp126/msl_l/2061.json b/current/slp/items/ssp126/msl_l/2061.json
new file mode 100644
index 0000000000..434da2be89
--- /dev/null
+++ b/current/slp/items/ssp126/msl_l/2061.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
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+      "title": "Global Sea Level Projections"
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp126/msl_l/2071.json b/current/slp/items/ssp126/msl_l/2071.json
new file mode 100644
index 0000000000..23b7cb2306
--- /dev/null
+++ b/current/slp/items/ssp126/msl_l/2071.json
@@ -0,0 +1,120 @@
+{
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+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp126/msl_l/2081.json b/current/slp/items/ssp126/msl_l/2081.json
new file mode 100644
index 0000000000..e8cbdd1f65
--- /dev/null
+++ b/current/slp/items/ssp126/msl_l/2081.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
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+      "title": "CoCliCo STAC Catalog"
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+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp126/msl_l/2081.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp126/msl_l/2091.json b/current/slp/items/ssp126/msl_l/2091.json
new file mode 100644
index 0000000000..d381946a60
--- /dev/null
+++ b/current/slp/items/ssp126/msl_l/2091.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
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+      "title": "CoCliCo STAC Catalog"
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+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp126/msl_l/2091.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp126/msl_l/2101.json b/current/slp/items/ssp126/msl_l/2101.json
new file mode 100644
index 0000000000..6bbc1f8865
--- /dev/null
+++ b/current/slp/items/ssp126/msl_l/2101.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
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+  "links": [
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+      "rel": "root",
+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp126/msl_l/2101.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
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+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/ssp126/msl_l/2111.json b/current/slp/items/ssp126/msl_l/2111.json
new file mode 100644
index 0000000000..b431e5f680
--- /dev/null
+++ b/current/slp/items/ssp126/msl_l/2111.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "ssp126\\msl_l\\2111.tif",
+  "properties": {
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+      "title": "Global Sea Level Projections"
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+      "title": "CoCliCo STAC Catalog"
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+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp126/msl_l/2111.tif",
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp126/msl_l/2121.json b/current/slp/items/ssp126/msl_l/2121.json
new file mode 100644
index 0000000000..8791b73411
--- /dev/null
+++ b/current/slp/items/ssp126/msl_l/2121.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
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+  "links": [
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+      "title": "Global Sea Level Projections"
+    },
+    {
+      "rel": "root",
+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp126/msl_l/2121.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp126/msl_l/2131.json b/current/slp/items/ssp126/msl_l/2131.json
new file mode 100644
index 0000000000..f25495e082
--- /dev/null
+++ b/current/slp/items/ssp126/msl_l/2131.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
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+      "rel": "parent",
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+      "type": "application/json",
+      "title": "Global Sea Level Projections"
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+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/ssp126/msl_l/2141.json b/current/slp/items/ssp126/msl_l/2141.json
new file mode 100644
index 0000000000..2c83c572ea
--- /dev/null
+++ b/current/slp/items/ssp126/msl_l/2141.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
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+      "title": "CoCliCo STAC Catalog"
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+      "rel": "parent",
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+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp126/msl_l/2141.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp126/msl_l/2151.json b/current/slp/items/ssp126/msl_l/2151.json
new file mode 100644
index 0000000000..23ce3ab88f
--- /dev/null
+++ b/current/slp/items/ssp126/msl_l/2151.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "ssp126\\msl_l\\2151.tif",
+  "properties": {
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+  "links": [
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+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp126/msl_l/2151.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
+      "roles": [
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+    "https://stac-extensions.github.io/projection/v1.1.0/schema.json"
+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/ssp126/msl_m/2031.json b/current/slp/items/ssp126/msl_m/2031.json
new file mode 100644
index 0000000000..0ab27329b9
--- /dev/null
+++ b/current/slp/items/ssp126/msl_m/2031.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "ssp126\\msl_m\\2031.tif",
+  "properties": {
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+    "proj:geometry": {
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+  "links": [
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+      "title": "Global Sea Level Projections"
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+      "rel": "root",
+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp126/msl_m/2031.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
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+  },
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+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/ssp126/msl_m/2041.json b/current/slp/items/ssp126/msl_m/2041.json
new file mode 100644
index 0000000000..6836016911
--- /dev/null
+++ b/current/slp/items/ssp126/msl_m/2041.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "ssp126\\msl_m\\2041.tif",
+  "properties": {
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+  },
+  "links": [
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+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    },
+    {
+      "rel": "root",
+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp126/msl_m/2041.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
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+    "https://stac-extensions.github.io/projection/v1.1.0/schema.json"
+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/ssp126/msl_m/2051.json b/current/slp/items/ssp126/msl_m/2051.json
new file mode 100644
index 0000000000..2cb80c0623
--- /dev/null
+++ b/current/slp/items/ssp126/msl_m/2051.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "ssp126\\msl_m\\2051.tif",
+  "properties": {
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+    "proj:geometry": {
+      "type": "Polygon",
+      "coordinates": [
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+  "links": [
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+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    },
+    {
+      "rel": "root",
+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp126/msl_m/2051.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
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+  "stac_extensions": [
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+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/ssp126/msl_m/2061.json b/current/slp/items/ssp126/msl_m/2061.json
new file mode 100644
index 0000000000..250824bb3d
--- /dev/null
+++ b/current/slp/items/ssp126/msl_m/2061.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
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+  "links": [
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+      "rel": "collection",
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+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    },
+    {
+      "rel": "root",
+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp126/msl_m/2061.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
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+  ],
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp126/msl_m/2071.json b/current/slp/items/ssp126/msl_m/2071.json
new file mode 100644
index 0000000000..af3b93fd3f
--- /dev/null
+++ b/current/slp/items/ssp126/msl_m/2071.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
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+  "links": [
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+      "title": "Global Sea Level Projections"
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+    {
+      "rel": "root",
+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
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+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
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+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
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+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/ssp126/msl_m/2081.json b/current/slp/items/ssp126/msl_m/2081.json
new file mode 100644
index 0000000000..a5b2d2d0ac
--- /dev/null
+++ b/current/slp/items/ssp126/msl_m/2081.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "ssp126\\msl_m\\2081.tif",
+  "properties": {
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+  "links": [
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+      "title": "Global Sea Level Projections"
+    },
+    {
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+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp126/msl_m/2081.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
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+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/ssp126/msl_m/2091.json b/current/slp/items/ssp126/msl_m/2091.json
new file mode 100644
index 0000000000..edea16b375
--- /dev/null
+++ b/current/slp/items/ssp126/msl_m/2091.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "ssp126\\msl_m\\2091.tif",
+  "properties": {
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+    "proj:geometry": {
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+  "links": [
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+      "title": "Global Sea Level Projections"
+    },
+    {
+      "rel": "root",
+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp126/msl_m/2091.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
+      "roles": [
+        "data"
+      ]
+    }
+  },
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+  "stac_extensions": [
+    "https://stac-extensions.github.io/projection/v1.1.0/schema.json"
+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/ssp126/msl_m/2101.json b/current/slp/items/ssp126/msl_m/2101.json
new file mode 100644
index 0000000000..73fa3ff032
--- /dev/null
+++ b/current/slp/items/ssp126/msl_m/2101.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "ssp126\\msl_m\\2101.tif",
+  "properties": {
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+      360
+    ],
+    "proj:epsg": 4326,
+    "proj:geometry": {
+      "type": "Polygon",
+      "coordinates": [
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+  },
+  "links": [
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+      "rel": "collection",
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+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    },
+    {
+      "rel": "root",
+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp126/msl_m/2101.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
+      "roles": [
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+      ]
+    }
+  },
+  "bbox": [
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+    179.5,
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+  "stac_extensions": [
+    "https://stac-extensions.github.io/projection/v1.1.0/schema.json"
+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/ssp126/msl_m/2111.json b/current/slp/items/ssp126/msl_m/2111.json
new file mode 100644
index 0000000000..463cb54466
--- /dev/null
+++ b/current/slp/items/ssp126/msl_m/2111.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "ssp126\\msl_m\\2111.tif",
+  "properties": {
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+      "type": "Polygon",
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+  },
+  "links": [
+    {
+      "rel": "collection",
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+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    },
+    {
+      "rel": "root",
+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp126/msl_m/2111.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
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+  "stac_extensions": [
+    "https://stac-extensions.github.io/projection/v1.1.0/schema.json"
+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/ssp126/msl_m/2121.json b/current/slp/items/ssp126/msl_m/2121.json
new file mode 100644
index 0000000000..e18a58ac0b
--- /dev/null
+++ b/current/slp/items/ssp126/msl_m/2121.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "ssp126\\msl_m\\2121.tif",
+  "properties": {
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+    ],
+    "proj:epsg": 4326,
+    "proj:geometry": {
+      "type": "Polygon",
+      "coordinates": [
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+    ]
+  },
+  "links": [
+    {
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+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    },
+    {
+      "rel": "root",
+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp126/msl_m/2121.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
+      "roles": [
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+      ]
+    }
+  },
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+  "stac_extensions": [
+    "https://stac-extensions.github.io/projection/v1.1.0/schema.json"
+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/ssp126/msl_m/2131.json b/current/slp/items/ssp126/msl_m/2131.json
new file mode 100644
index 0000000000..6f6e1e654e
--- /dev/null
+++ b/current/slp/items/ssp126/msl_m/2131.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "ssp126\\msl_m\\2131.tif",
+  "properties": {
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+    "proj:geometry": {
+      "type": "Polygon",
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+  },
+  "links": [
+    {
+      "rel": "collection",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    },
+    {
+      "rel": "root",
+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp126/msl_m/2131.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
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+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/ssp126/msl_m/2141.json b/current/slp/items/ssp126/msl_m/2141.json
new file mode 100644
index 0000000000..9bf5e80955
--- /dev/null
+++ b/current/slp/items/ssp126/msl_m/2141.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "ssp126\\msl_m\\2141.tif",
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+  "links": [
+    {
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+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    },
+    {
+      "rel": "root",
+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
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+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
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+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
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+    "https://stac-extensions.github.io/projection/v1.1.0/schema.json"
+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/ssp126/msl_m/2151.json b/current/slp/items/ssp126/msl_m/2151.json
new file mode 100644
index 0000000000..56579c74a4
--- /dev/null
+++ b/current/slp/items/ssp126/msl_m/2151.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "ssp126\\msl_m\\2151.tif",
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+  "links": [
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+      "title": "Global Sea Level Projections"
+    },
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+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
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+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp126/msl_m/2151.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
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+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/ssp245/msl_h/2031.json b/current/slp/items/ssp245/msl_h/2031.json
new file mode 100644
index 0000000000..dfeeb9f713
--- /dev/null
+++ b/current/slp/items/ssp245/msl_h/2031.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "ssp245\\msl_h\\2031.tif",
+  "properties": {
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+  "links": [
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+      "title": "Global Sea Level Projections"
+    },
+    {
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+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp245/msl_h/2031.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
+      "roles": [
+        "data"
+      ]
+    }
+  },
+  "bbox": [
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+    179.5,
+    90.5
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+  "stac_extensions": [
+    "https://stac-extensions.github.io/projection/v1.1.0/schema.json"
+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/ssp245/msl_h/2041.json b/current/slp/items/ssp245/msl_h/2041.json
new file mode 100644
index 0000000000..6e216b9956
--- /dev/null
+++ b/current/slp/items/ssp245/msl_h/2041.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "ssp245\\msl_h\\2041.tif",
+  "properties": {
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+      360
+    ],
+    "proj:epsg": 4326,
+    "proj:geometry": {
+      "type": "Polygon",
+      "coordinates": [
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+  },
+  "links": [
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+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    },
+    {
+      "rel": "root",
+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp245/msl_h/2041.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
+      "roles": [
+        "data"
+      ]
+    }
+  },
+  "bbox": [
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+    179.5,
+    90.5
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+  "stac_extensions": [
+    "https://stac-extensions.github.io/projection/v1.1.0/schema.json"
+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/ssp245/msl_h/2051.json b/current/slp/items/ssp245/msl_h/2051.json
new file mode 100644
index 0000000000..027cd4dd68
--- /dev/null
+++ b/current/slp/items/ssp245/msl_h/2051.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "ssp245\\msl_h\\2051.tif",
+  "properties": {
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+      360
+    ],
+    "proj:epsg": 4326,
+    "proj:geometry": {
+      "type": "Polygon",
+      "coordinates": [
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+    "datetime": "2051-07-02T12:00:00Z"
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+    ]
+  },
+  "links": [
+    {
+      "rel": "collection",
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+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    },
+    {
+      "rel": "root",
+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp245/msl_h/2051.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
+      "roles": [
+        "data"
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+    }
+  },
+  "bbox": [
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+    -90.5,
+    179.5,
+    90.5
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+  "stac_extensions": [
+    "https://stac-extensions.github.io/projection/v1.1.0/schema.json"
+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/ssp245/msl_h/2061.json b/current/slp/items/ssp245/msl_h/2061.json
new file mode 100644
index 0000000000..cffd78be95
--- /dev/null
+++ b/current/slp/items/ssp245/msl_h/2061.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "ssp245\\msl_h\\2061.tif",
+  "properties": {
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+      -90.5,
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+      360
+    ],
+    "proj:epsg": 4326,
+    "proj:geometry": {
+      "type": "Polygon",
+      "coordinates": [
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+    "datetime": "2061-07-02T12:00:00Z"
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+      ]
+    ]
+  },
+  "links": [
+    {
+      "rel": "collection",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    },
+    {
+      "rel": "root",
+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp245/msl_h/2061.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
+      "roles": [
+        "data"
+      ]
+    }
+  },
+  "bbox": [
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+    -90.5,
+    179.5,
+    90.5
+  ],
+  "stac_extensions": [
+    "https://stac-extensions.github.io/projection/v1.1.0/schema.json"
+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/ssp245/msl_h/2071.json b/current/slp/items/ssp245/msl_h/2071.json
new file mode 100644
index 0000000000..de57b78631
--- /dev/null
+++ b/current/slp/items/ssp245/msl_h/2071.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "ssp245\\msl_h\\2071.tif",
+  "properties": {
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+      360
+    ],
+    "proj:epsg": 4326,
+    "proj:geometry": {
+      "type": "Polygon",
+      "coordinates": [
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+    ]
+  },
+  "links": [
+    {
+      "rel": "collection",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    },
+    {
+      "rel": "root",
+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp245/msl_h/2071.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
+      "roles": [
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+  },
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+    "https://stac-extensions.github.io/projection/v1.1.0/schema.json"
+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/ssp245/msl_h/2081.json b/current/slp/items/ssp245/msl_h/2081.json
new file mode 100644
index 0000000000..b08d3ceaa4
--- /dev/null
+++ b/current/slp/items/ssp245/msl_h/2081.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "ssp245\\msl_h\\2081.tif",
+  "properties": {
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+    "proj:geometry": {
+      "type": "Polygon",
+      "coordinates": [
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+    ]
+  },
+  "links": [
+    {
+      "rel": "collection",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    },
+    {
+      "rel": "root",
+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp245/msl_h/2081.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
+      "roles": [
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+      ]
+    }
+  },
+  "bbox": [
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+  "stac_extensions": [
+    "https://stac-extensions.github.io/projection/v1.1.0/schema.json"
+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/ssp245/msl_h/2091.json b/current/slp/items/ssp245/msl_h/2091.json
new file mode 100644
index 0000000000..b211b9c77e
--- /dev/null
+++ b/current/slp/items/ssp245/msl_h/2091.json
@@ -0,0 +1,120 @@
+{
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp245/msl_h/2101.json b/current/slp/items/ssp245/msl_h/2101.json
new file mode 100644
index 0000000000..2df1ae47fd
--- /dev/null
+++ b/current/slp/items/ssp245/msl_h/2101.json
@@ -0,0 +1,120 @@
+{
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+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp245/msl_h/2111.json b/current/slp/items/ssp245/msl_h/2111.json
new file mode 100644
index 0000000000..506e4b1a55
--- /dev/null
+++ b/current/slp/items/ssp245/msl_h/2111.json
@@ -0,0 +1,120 @@
+{
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+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp245/msl_h/2121.json b/current/slp/items/ssp245/msl_h/2121.json
new file mode 100644
index 0000000000..f202d1f1bf
--- /dev/null
+++ b/current/slp/items/ssp245/msl_h/2121.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
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+      "title": "CoCliCo STAC Catalog"
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+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp245/msl_h/2131.json b/current/slp/items/ssp245/msl_h/2131.json
new file mode 100644
index 0000000000..712bbbd97d
--- /dev/null
+++ b/current/slp/items/ssp245/msl_h/2131.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
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+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
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+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp245/msl_h/2131.tif",
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp245/msl_h/2141.json b/current/slp/items/ssp245/msl_h/2141.json
new file mode 100644
index 0000000000..83c0029e0f
--- /dev/null
+++ b/current/slp/items/ssp245/msl_h/2141.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
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+  "properties": {
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+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp245/msl_h/2151.json b/current/slp/items/ssp245/msl_h/2151.json
new file mode 100644
index 0000000000..87b37a4af0
--- /dev/null
+++ b/current/slp/items/ssp245/msl_h/2151.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
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+  "links": [
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+      "title": "Global Sea Level Projections"
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+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
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+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp245/msl_l/2031.json b/current/slp/items/ssp245/msl_l/2031.json
new file mode 100644
index 0000000000..4d7d43659c
--- /dev/null
+++ b/current/slp/items/ssp245/msl_l/2031.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
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+}
\ No newline at end of file
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new file mode 100644
index 0000000000..34523f1db4
--- /dev/null
+++ b/current/slp/items/ssp245/msl_l/2041.json
@@ -0,0 +1,120 @@
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+      "title": "Global Sea Level Projections"
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+  "assets": {
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp245/msl_l/2051.json b/current/slp/items/ssp245/msl_l/2051.json
new file mode 100644
index 0000000000..b9930c055b
--- /dev/null
+++ b/current/slp/items/ssp245/msl_l/2051.json
@@ -0,0 +1,120 @@
+{
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+      "title": "Global Sea Level Projections"
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp245/msl_l/2061.json b/current/slp/items/ssp245/msl_l/2061.json
new file mode 100644
index 0000000000..6b9a764a58
--- /dev/null
+++ b/current/slp/items/ssp245/msl_l/2061.json
@@ -0,0 +1,120 @@
+{
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+      "title": "Global Sea Level Projections"
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+  ],
+  "assets": {
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp245/msl_l/2071.json b/current/slp/items/ssp245/msl_l/2071.json
new file mode 100644
index 0000000000..7640a49dfb
--- /dev/null
+++ b/current/slp/items/ssp245/msl_l/2071.json
@@ -0,0 +1,120 @@
+{
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+      "title": "CoCliCo STAC Catalog"
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+      "rel": "parent",
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+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp245/msl_l/2071.tif",
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp245/msl_l/2081.json b/current/slp/items/ssp245/msl_l/2081.json
new file mode 100644
index 0000000000..a0a4531eda
--- /dev/null
+++ b/current/slp/items/ssp245/msl_l/2081.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
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+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp245/msl_l/2091.json b/current/slp/items/ssp245/msl_l/2091.json
new file mode 100644
index 0000000000..791eccc558
--- /dev/null
+++ b/current/slp/items/ssp245/msl_l/2091.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
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+  },
+  "links": [
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+      "title": "Global Sea Level Projections"
+    },
+    {
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+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp245/msl_l/2091.tif",
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp245/msl_l/2101.json b/current/slp/items/ssp245/msl_l/2101.json
new file mode 100644
index 0000000000..ee00918c71
--- /dev/null
+++ b/current/slp/items/ssp245/msl_l/2101.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
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+      "title": "Global Sea Level Projections"
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+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/ssp245/msl_l/2111.json b/current/slp/items/ssp245/msl_l/2111.json
new file mode 100644
index 0000000000..83cc1a1dac
--- /dev/null
+++ b/current/slp/items/ssp245/msl_l/2111.json
@@ -0,0 +1,120 @@
+{
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+  "stac_version": "1.0.0",
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+      "title": "CoCliCo STAC Catalog"
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+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp245/msl_l/2111.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
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+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/ssp245/msl_l/2121.json b/current/slp/items/ssp245/msl_l/2121.json
new file mode 100644
index 0000000000..72a410e3f8
--- /dev/null
+++ b/current/slp/items/ssp245/msl_l/2121.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "ssp245\\msl_l\\2121.tif",
+  "properties": {
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+  "links": [
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+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
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+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp245/msl_l/2121.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
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+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/ssp245/msl_l/2131.json b/current/slp/items/ssp245/msl_l/2131.json
new file mode 100644
index 0000000000..7dafb4ebe4
--- /dev/null
+++ b/current/slp/items/ssp245/msl_l/2131.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "ssp245\\msl_l\\2131.tif",
+  "properties": {
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+  "links": [
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+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp245/msl_l/2131.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
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+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/ssp245/msl_l/2141.json b/current/slp/items/ssp245/msl_l/2141.json
new file mode 100644
index 0000000000..1e1090d095
--- /dev/null
+++ b/current/slp/items/ssp245/msl_l/2141.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "ssp245\\msl_l\\2141.tif",
+  "properties": {
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+  },
+  "links": [
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+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    },
+    {
+      "rel": "root",
+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp245/msl_l/2141.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
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+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/ssp245/msl_l/2151.json b/current/slp/items/ssp245/msl_l/2151.json
new file mode 100644
index 0000000000..2799c42752
--- /dev/null
+++ b/current/slp/items/ssp245/msl_l/2151.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "ssp245\\msl_l\\2151.tif",
+  "properties": {
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+      "type": "Polygon",
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+  "links": [
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+      "title": "Global Sea Level Projections"
+    },
+    {
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+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp245/msl_l/2151.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
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+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/ssp245/msl_m/2031.json b/current/slp/items/ssp245/msl_m/2031.json
new file mode 100644
index 0000000000..028e159903
--- /dev/null
+++ b/current/slp/items/ssp245/msl_m/2031.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "ssp245\\msl_m\\2031.tif",
+  "properties": {
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+  },
+  "links": [
+    {
+      "rel": "collection",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    },
+    {
+      "rel": "root",
+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp245/msl_m/2031.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
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+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/ssp245/msl_m/2041.json b/current/slp/items/ssp245/msl_m/2041.json
new file mode 100644
index 0000000000..8203daa420
--- /dev/null
+++ b/current/slp/items/ssp245/msl_m/2041.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
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+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
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+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
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+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/ssp245/msl_m/2051.json b/current/slp/items/ssp245/msl_m/2051.json
new file mode 100644
index 0000000000..b4acd3eb82
--- /dev/null
+++ b/current/slp/items/ssp245/msl_m/2051.json
@@ -0,0 +1,120 @@
+{
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+  "stac_version": "1.0.0",
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+      "title": "CoCliCo STAC Catalog"
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+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp245/msl_m/2051.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp245/msl_m/2061.json b/current/slp/items/ssp245/msl_m/2061.json
new file mode 100644
index 0000000000..a45bda05b4
--- /dev/null
+++ b/current/slp/items/ssp245/msl_m/2061.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "ssp245\\msl_m\\2061.tif",
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+    "proj:geometry": {
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+      "title": "Global Sea Level Projections"
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+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp245/msl_m/2061.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
+      "roles": [
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+  },
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+    "https://stac-extensions.github.io/projection/v1.1.0/schema.json"
+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/ssp245/msl_m/2071.json b/current/slp/items/ssp245/msl_m/2071.json
new file mode 100644
index 0000000000..cd18d9e64e
--- /dev/null
+++ b/current/slp/items/ssp245/msl_m/2071.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "ssp245\\msl_m\\2071.tif",
+  "properties": {
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+    "proj:geometry": {
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+  "links": [
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+      "title": "Global Sea Level Projections"
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+    {
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+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp245/msl_m/2071.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
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+    "https://stac-extensions.github.io/projection/v1.1.0/schema.json"
+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/ssp245/msl_m/2081.json b/current/slp/items/ssp245/msl_m/2081.json
new file mode 100644
index 0000000000..e289a5a6aa
--- /dev/null
+++ b/current/slp/items/ssp245/msl_m/2081.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "ssp245\\msl_m\\2081.tif",
+  "properties": {
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+  },
+  "links": [
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+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    },
+    {
+      "rel": "root",
+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp245/msl_m/2081.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
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+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/ssp245/msl_m/2091.json b/current/slp/items/ssp245/msl_m/2091.json
new file mode 100644
index 0000000000..ca4355ad4c
--- /dev/null
+++ b/current/slp/items/ssp245/msl_m/2091.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "ssp245\\msl_m\\2091.tif",
+  "properties": {
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+    "proj:geometry": {
+      "type": "Polygon",
+      "coordinates": [
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+  },
+  "links": [
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+      "rel": "collection",
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+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    },
+    {
+      "rel": "root",
+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp245/msl_m/2091.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
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+    "https://stac-extensions.github.io/projection/v1.1.0/schema.json"
+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/ssp245/msl_m/2101.json b/current/slp/items/ssp245/msl_m/2101.json
new file mode 100644
index 0000000000..6036b3b5a5
--- /dev/null
+++ b/current/slp/items/ssp245/msl_m/2101.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "ssp245\\msl_m\\2101.tif",
+  "properties": {
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+  },
+  "links": [
+    {
+      "rel": "collection",
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+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    },
+    {
+      "rel": "root",
+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp245/msl_m/2101.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
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+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/ssp245/msl_m/2111.json b/current/slp/items/ssp245/msl_m/2111.json
new file mode 100644
index 0000000000..c52333ecfb
--- /dev/null
+++ b/current/slp/items/ssp245/msl_m/2111.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
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+  "links": [
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+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    },
+    {
+      "rel": "root",
+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
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+      "href": "../../../collection.json",
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp245/msl_m/2121.json b/current/slp/items/ssp245/msl_m/2121.json
new file mode 100644
index 0000000000..40387f61d1
--- /dev/null
+++ b/current/slp/items/ssp245/msl_m/2121.json
@@ -0,0 +1,120 @@
+{
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+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp245/msl_m/2131.json b/current/slp/items/ssp245/msl_m/2131.json
new file mode 100644
index 0000000000..2b0c050bed
--- /dev/null
+++ b/current/slp/items/ssp245/msl_m/2131.json
@@ -0,0 +1,120 @@
+{
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+      "title": "CoCliCo STAC Catalog"
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+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp245/msl_m/2131.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
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+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/ssp245/msl_m/2141.json b/current/slp/items/ssp245/msl_m/2141.json
new file mode 100644
index 0000000000..8f5a421b72
--- /dev/null
+++ b/current/slp/items/ssp245/msl_m/2141.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
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+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
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+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp245/msl_m/2141.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp245/msl_m/2151.json b/current/slp/items/ssp245/msl_m/2151.json
new file mode 100644
index 0000000000..4ccdc9d263
--- /dev/null
+++ b/current/slp/items/ssp245/msl_m/2151.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
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+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
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+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp585/msl_h/2031.json b/current/slp/items/ssp585/msl_h/2031.json
new file mode 100644
index 0000000000..3c0cc85b78
--- /dev/null
+++ b/current/slp/items/ssp585/msl_h/2031.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
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+      "title": "Global Sea Level Projections"
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+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
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+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp585/msl_h/2031.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp585/msl_h/2041.json b/current/slp/items/ssp585/msl_h/2041.json
new file mode 100644
index 0000000000..f86eafd2c0
--- /dev/null
+++ b/current/slp/items/ssp585/msl_h/2041.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
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+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
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+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp585/msl_h/2041.tif",
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp585/msl_h/2051.json b/current/slp/items/ssp585/msl_h/2051.json
new file mode 100644
index 0000000000..3ab6d64857
--- /dev/null
+++ b/current/slp/items/ssp585/msl_h/2051.json
@@ -0,0 +1,120 @@
+{
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+  ],
+  "assets": {
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp585/msl_h/2061.json b/current/slp/items/ssp585/msl_h/2061.json
new file mode 100644
index 0000000000..76466689f0
--- /dev/null
+++ b/current/slp/items/ssp585/msl_h/2061.json
@@ -0,0 +1,120 @@
+{
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+      "title": "CoCliCo STAC Catalog"
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+      "rel": "parent",
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+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
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+  "assets": {
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp585/msl_h/2071.json b/current/slp/items/ssp585/msl_h/2071.json
new file mode 100644
index 0000000000..a4b37be528
--- /dev/null
+++ b/current/slp/items/ssp585/msl_h/2071.json
@@ -0,0 +1,120 @@
+{
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+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
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+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp585/msl_h/2071.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
+      "roles": [
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+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/ssp585/msl_h/2081.json b/current/slp/items/ssp585/msl_h/2081.json
new file mode 100644
index 0000000000..586a2c5fb4
--- /dev/null
+++ b/current/slp/items/ssp585/msl_h/2081.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "ssp585\\msl_h\\2081.tif",
+  "properties": {
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+    "proj:geometry": {
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+  "links": [
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+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
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+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp585/msl_h/2081.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
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+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/ssp585/msl_h/2091.json b/current/slp/items/ssp585/msl_h/2091.json
new file mode 100644
index 0000000000..131738ec32
--- /dev/null
+++ b/current/slp/items/ssp585/msl_h/2091.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "ssp585\\msl_h\\2091.tif",
+  "properties": {
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+      "coordinates": [
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+  },
+  "links": [
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+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    },
+    {
+      "rel": "root",
+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp585/msl_h/2091.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
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+    179.5,
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+    "https://stac-extensions.github.io/projection/v1.1.0/schema.json"
+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/ssp585/msl_h/2101.json b/current/slp/items/ssp585/msl_h/2101.json
new file mode 100644
index 0000000000..66848897f7
--- /dev/null
+++ b/current/slp/items/ssp585/msl_h/2101.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "ssp585\\msl_h\\2101.tif",
+  "properties": {
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+    "proj:geometry": {
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+      "coordinates": [
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+    ]
+  },
+  "links": [
+    {
+      "rel": "collection",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    },
+    {
+      "rel": "root",
+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp585/msl_h/2101.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
+      "roles": [
+        "data"
+      ]
+    }
+  },
+  "bbox": [
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+    179.5,
+    90.5
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+  "stac_extensions": [
+    "https://stac-extensions.github.io/projection/v1.1.0/schema.json"
+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/ssp585/msl_h/2111.json b/current/slp/items/ssp585/msl_h/2111.json
new file mode 100644
index 0000000000..70ec6d4b94
--- /dev/null
+++ b/current/slp/items/ssp585/msl_h/2111.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "ssp585\\msl_h\\2111.tif",
+  "properties": {
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+    "proj:epsg": 4326,
+    "proj:geometry": {
+      "type": "Polygon",
+      "coordinates": [
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+  },
+  "links": [
+    {
+      "rel": "collection",
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+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    },
+    {
+      "rel": "root",
+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp585/msl_h/2111.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
+      "roles": [
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+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/ssp585/msl_h/2121.json b/current/slp/items/ssp585/msl_h/2121.json
new file mode 100644
index 0000000000..cd2e80421e
--- /dev/null
+++ b/current/slp/items/ssp585/msl_h/2121.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "ssp585\\msl_h\\2121.tif",
+  "properties": {
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+    "proj:geometry": {
+      "type": "Polygon",
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+  },
+  "links": [
+    {
+      "rel": "collection",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    },
+    {
+      "rel": "root",
+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp585/msl_h/2121.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
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+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/ssp585/msl_h/2131.json b/current/slp/items/ssp585/msl_h/2131.json
new file mode 100644
index 0000000000..7f372ce5c1
--- /dev/null
+++ b/current/slp/items/ssp585/msl_h/2131.json
@@ -0,0 +1,120 @@
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp585/msl_h/2141.json b/current/slp/items/ssp585/msl_h/2141.json
new file mode 100644
index 0000000000..7540a01a56
--- /dev/null
+++ b/current/slp/items/ssp585/msl_h/2141.json
@@ -0,0 +1,120 @@
+{
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+  "assets": {
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp585/msl_h/2151.json b/current/slp/items/ssp585/msl_h/2151.json
new file mode 100644
index 0000000000..7f6a16fd04
--- /dev/null
+++ b/current/slp/items/ssp585/msl_h/2151.json
@@ -0,0 +1,120 @@
+{
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+      "title": "Global Sea Level Projections"
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp585/msl_l/2031.json b/current/slp/items/ssp585/msl_l/2031.json
new file mode 100644
index 0000000000..2af72fa075
--- /dev/null
+++ b/current/slp/items/ssp585/msl_l/2031.json
@@ -0,0 +1,120 @@
+{
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+      "title": "Global Sea Level Projections"
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp585/msl_l/2041.json b/current/slp/items/ssp585/msl_l/2041.json
new file mode 100644
index 0000000000..582da2810c
--- /dev/null
+++ b/current/slp/items/ssp585/msl_l/2041.json
@@ -0,0 +1,120 @@
+{
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+      "type": "application/json",
+      "title": "Global Sea Level Projections"
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+  ],
+  "assets": {
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+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp585/msl_l/2041.tif",
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp585/msl_l/2051.json b/current/slp/items/ssp585/msl_l/2051.json
new file mode 100644
index 0000000000..8b2b107465
--- /dev/null
+++ b/current/slp/items/ssp585/msl_l/2051.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
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+      "title": "Global Sea Level Projections"
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+  ],
+  "assets": {
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp585/msl_l/2061.json b/current/slp/items/ssp585/msl_l/2061.json
new file mode 100644
index 0000000000..89a38ea432
--- /dev/null
+++ b/current/slp/items/ssp585/msl_l/2061.json
@@ -0,0 +1,120 @@
+{
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+      "title": "CoCliCo STAC Catalog"
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+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp585/msl_l/2071.json b/current/slp/items/ssp585/msl_l/2071.json
new file mode 100644
index 0000000000..7578823128
--- /dev/null
+++ b/current/slp/items/ssp585/msl_l/2071.json
@@ -0,0 +1,120 @@
+{
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\ No newline at end of file
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new file mode 100644
index 0000000000..a3f5c362a4
--- /dev/null
+++ b/current/slp/items/ssp585/msl_l/2081.json
@@ -0,0 +1,120 @@
+{
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp585/msl_l/2091.json b/current/slp/items/ssp585/msl_l/2091.json
new file mode 100644
index 0000000000..0be53bf6c9
--- /dev/null
+++ b/current/slp/items/ssp585/msl_l/2091.json
@@ -0,0 +1,120 @@
+{
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp585/msl_l/2101.json b/current/slp/items/ssp585/msl_l/2101.json
new file mode 100644
index 0000000000..e2442a7292
--- /dev/null
+++ b/current/slp/items/ssp585/msl_l/2101.json
@@ -0,0 +1,120 @@
+{
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+      "title": "Global Sea Level Projections"
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+  "assets": {
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp585/msl_l/2111.json b/current/slp/items/ssp585/msl_l/2111.json
new file mode 100644
index 0000000000..e07baaafb9
--- /dev/null
+++ b/current/slp/items/ssp585/msl_l/2111.json
@@ -0,0 +1,120 @@
+{
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+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
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+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp585/msl_l/2121.json b/current/slp/items/ssp585/msl_l/2121.json
new file mode 100644
index 0000000000..7e88d0cdad
--- /dev/null
+++ b/current/slp/items/ssp585/msl_l/2121.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
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+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp585/msl_l/2131.json b/current/slp/items/ssp585/msl_l/2131.json
new file mode 100644
index 0000000000..4d356ba47e
--- /dev/null
+++ b/current/slp/items/ssp585/msl_l/2131.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
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+  "links": [
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+    {
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+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp585/msl_l/2131.tif",
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp585/msl_l/2141.json b/current/slp/items/ssp585/msl_l/2141.json
new file mode 100644
index 0000000000..a413747b2b
--- /dev/null
+++ b/current/slp/items/ssp585/msl_l/2141.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp585/msl_l/2151.json b/current/slp/items/ssp585/msl_l/2151.json
new file mode 100644
index 0000000000..314c42176b
--- /dev/null
+++ b/current/slp/items/ssp585/msl_l/2151.json
@@ -0,0 +1,120 @@
+{
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp585/msl_m/2031.json b/current/slp/items/ssp585/msl_m/2031.json
new file mode 100644
index 0000000000..1d5def22ab
--- /dev/null
+++ b/current/slp/items/ssp585/msl_m/2031.json
@@ -0,0 +1,120 @@
+{
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+      "title": "Global Sea Level Projections"
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+  "assets": {
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp585/msl_m/2041.json b/current/slp/items/ssp585/msl_m/2041.json
new file mode 100644
index 0000000000..9647bdffd3
--- /dev/null
+++ b/current/slp/items/ssp585/msl_m/2041.json
@@ -0,0 +1,120 @@
+{
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+      "title": "CoCliCo STAC Catalog"
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+      "type": "application/json",
+      "title": "Global Sea Level Projections"
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+  "assets": {
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp585/msl_m/2051.json b/current/slp/items/ssp585/msl_m/2051.json
new file mode 100644
index 0000000000..655a708063
--- /dev/null
+++ b/current/slp/items/ssp585/msl_m/2051.json
@@ -0,0 +1,120 @@
+{
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+      "title": "CoCliCo STAC Catalog"
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+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp585/msl_m/2061.json b/current/slp/items/ssp585/msl_m/2061.json
new file mode 100644
index 0000000000..08b5e3b79b
--- /dev/null
+++ b/current/slp/items/ssp585/msl_m/2061.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
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+      "type": "application/json",
+      "title": "Global Sea Level Projections"
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+  ],
+  "assets": {
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp585/msl_m/2071.json b/current/slp/items/ssp585/msl_m/2071.json
new file mode 100644
index 0000000000..e885edad41
--- /dev/null
+++ b/current/slp/items/ssp585/msl_m/2071.json
@@ -0,0 +1,120 @@
+{
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+      "title": "Global Sea Level Projections"
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+      "title": "CoCliCo STAC Catalog"
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+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp585/msl_m/2081.json b/current/slp/items/ssp585/msl_m/2081.json
new file mode 100644
index 0000000000..ada90bfb8e
--- /dev/null
+++ b/current/slp/items/ssp585/msl_m/2081.json
@@ -0,0 +1,120 @@
+{
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+      "title": "Global Sea Level Projections"
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp585/msl_m/2091.json b/current/slp/items/ssp585/msl_m/2091.json
new file mode 100644
index 0000000000..ee6e5f9f35
--- /dev/null
+++ b/current/slp/items/ssp585/msl_m/2091.json
@@ -0,0 +1,120 @@
+{
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+      "rel": "parent",
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+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp585/msl_m/2091.tif",
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp585/msl_m/2101.json b/current/slp/items/ssp585/msl_m/2101.json
new file mode 100644
index 0000000000..bb0ddb99aa
--- /dev/null
+++ b/current/slp/items/ssp585/msl_m/2101.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
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+      "title": "CoCliCo STAC Catalog"
+    },
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+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp585/msl_m/2101.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
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+  ],
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp585/msl_m/2111.json b/current/slp/items/ssp585/msl_m/2111.json
new file mode 100644
index 0000000000..15d54503f3
--- /dev/null
+++ b/current/slp/items/ssp585/msl_m/2111.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "ssp585\\msl_m\\2111.tif",
+  "properties": {
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+  "links": [
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+      "title": "Global Sea Level Projections"
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+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp585/msl_m/2111.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp585/msl_m/2121.json b/current/slp/items/ssp585/msl_m/2121.json
new file mode 100644
index 0000000000..4586e4c542
--- /dev/null
+++ b/current/slp/items/ssp585/msl_m/2121.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "ssp585\\msl_m\\2121.tif",
+  "properties": {
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+  "links": [
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+      "title": "Global Sea Level Projections"
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+    {
+      "rel": "root",
+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp585/msl_m/2121.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
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+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/ssp585/msl_m/2131.json b/current/slp/items/ssp585/msl_m/2131.json
new file mode 100644
index 0000000000..19c888483c
--- /dev/null
+++ b/current/slp/items/ssp585/msl_m/2131.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
+  "id": "ssp585\\msl_m\\2131.tif",
+  "properties": {
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+  "links": [
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+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    },
+    {
+      "rel": "root",
+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp585/msl_m/2131.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
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+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/current/slp/items/ssp585/msl_m/2141.json b/current/slp/items/ssp585/msl_m/2141.json
new file mode 100644
index 0000000000..9db5db313d
--- /dev/null
+++ b/current/slp/items/ssp585/msl_m/2141.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
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+  "properties": {
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+  "links": [
+    {
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+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    },
+    {
+      "rel": "root",
+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
+    {
+      "rel": "parent",
+      "href": "../../../collection.json",
+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp585/msl_m/2141.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
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+}
\ No newline at end of file
diff --git a/current/slp/items/ssp585/msl_m/2151.json b/current/slp/items/ssp585/msl_m/2151.json
new file mode 100644
index 0000000000..4288137958
--- /dev/null
+++ b/current/slp/items/ssp585/msl_m/2151.json
@@ -0,0 +1,120 @@
+{
+  "type": "Feature",
+  "stac_version": "1.0.0",
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+      "title": "Global Sea Level Projections"
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+    {
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+      "href": "../../../../catalog.json",
+      "type": "application/json",
+      "title": "CoCliCo STAC Catalog"
+    },
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+      "type": "application/json",
+      "title": "Global Sea Level Projections"
+    }
+  ],
+  "assets": {
+    "data": {
+      "href": "https://storage.googleapis.com/coclico-data-public/coclico/slp/ssp585/msl_m/2151.tif",
+      "type": "image/tiff; application=geotiff; profile=cloud-optimized",
+      "roles": [
+        "data"
+      ]
+    }
+  },
+  "bbox": [
+    -180.5,
+    -90.5,
+    179.5,
+    90.5
+  ],
+  "stac_extensions": [
+    "https://stac-extensions.github.io/projection/v1.1.0/schema.json"
+  ],
+  "collection": "slp"
+}
\ No newline at end of file
diff --git a/notebooks/13_slp.ipynb b/notebooks/13_slp.ipynb
index 81dad17280..9f55d2f942 100644
--- a/notebooks/13_slp.ipynb
+++ b/notebooks/13_slp.ipynb
@@ -4,22 +4,51 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Sea level projection\n",
-    "### San Sebastian | Genova | La Rochelle | Valencia\n",
-    "Written by Math van Soest - Deltares \n",
-    "17-08-'23"
+    "## Sea Level Projections\n",
+    "\n",
+    "Notebook environment to migrate netcdf files to CoG."
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 1,
    "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/javascript": "\n            setTimeout(function() {\n                var nbb_cell_id = 1;\n                var nbb_unformatted_code = \"# Optional; code formatter, installed as jupyter lab extension\\n#%load_ext lab_black\\n# Optional; code formatter, installed as jupyter notebook extension\\n%load_ext nb_black\";\n                var nbb_formatted_code = \"# Optional; code formatter, installed as jupyter lab extension\\n# %load_ext lab_black\\n# Optional; code formatter, installed as jupyter notebook extension\\n%load_ext nb_black\";\n                var nbb_cells = Jupyter.notebook.get_cells();\n                for (var i = 0; i < nbb_cells.length; ++i) {\n                    if (nbb_cells[i].input_prompt_number == nbb_cell_id) {\n                        if (nbb_cells[i].get_text() == nbb_unformatted_code) {\n                             nbb_cells[i].set_text(nbb_formatted_code);\n                        }\n                        break;\n                    }\n                }\n            }, 500);\n            ",
+      "text/plain": [
+       "<IPython.core.display.Javascript object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Optional; code formatter, installed as jupyter lab extension\n",
+    "#%load_ext lab_black\n",
+    "# Optional; code formatter, installed as jupyter notebook extension\n",
+    "%load_ext nb_black"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Configure OS independent paths"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "C:\\Users\\kras\\AppData\\Local\\Temp\\ipykernel_12280\\3012141979.py:7: DeprecationWarning: Shapely 2.0 is installed, but because PyGEOS is also installed, GeoPandas still uses PyGEOS by default. However, starting with version 0.14, the default will switch to Shapely. To force to use Shapely 2.0 now, you can either uninstall PyGEOS or set the environment variable USE_PYGEOS=0. You can do this before starting the Python process, or in your code before importing geopandas:\n",
+      "C:\\Users\\soest\\AppData\\Local\\Temp\\ipykernel_24128\\2032885944.py:7: DeprecationWarning: Shapely 2.0 is installed, but because PyGEOS is also installed, GeoPandas still uses PyGEOS by default. However, starting with version 0.14, the default will switch to Shapely. To force to use Shapely 2.0 now, you can either uninstall PyGEOS or set the environment variable USE_PYGEOS=0. You can do this before starting the Python process, or in your code before importing geopandas:\n",
       "\n",
       "import os\n",
       "os.environ['USE_PYGEOS'] = '0'\n",
@@ -28,91 +57,84 @@
       "In the next release, GeoPandas will switch to using Shapely by default, even if PyGEOS is installed. If you only have PyGEOS installed to get speed-ups, this switch should be smooth. However, if you are using PyGEOS directly (calling PyGEOS functions on geometries from GeoPandas), this will then stop working and you are encouraged to migrate from PyGEOS to Shapely 2.0 (https://shapely.readthedocs.io/en/latest/migration_pygeos.html).\n",
       "  import geopandas as gpd\n"
      ]
+    },
+    {
+     "data": {
+      "application/javascript": "\n            setTimeout(function() {\n                var nbb_cell_id = 2;\n                var nbb_unformatted_code = \"# Import standard packages\\nimport os\\nimport pathlib\\nimport sys\\nimport glob\\nimport numpy as np\\nimport geopandas as gpd\\nimport pandas as pd\\nimport matplotlib.pyplot as plt\\nimport xarray as xr\\nimport netCDF4 as nc\\nimport numpy.ma as ma\\nimport rasterio\\nimport rioxarray as rio\\nfrom datacube.utils.cog import write_cog\\n\\n# Make root directories importable by aslpending root to path\\ncwd = pathlib.Path().resolve()\\nsys.path.append(os.path.dirname(cwd))\\n\\n# Get root paths\\nhome = pathlib.Path().home()\\nroot = home.root\\ntmp_dir = home.joinpath(\\\"data\\\", \\\"tmp\\\")\\n\\n# Import custom functionality\\nfrom coclicodata.drive_config import p_drive\\nfrom coclicodata.etl.cf_compliancy_checker import check_compliancy, save_compliancy\\nfrom coastmonitor.io.utils import name_block\\n\\n# Define (local and) remote drives\\ncoclico_data_dir = p_drive.joinpath(\\\"11207608-coclico\\\", \\\"FULLTRACK_DATA\\\")\\n\\n# Workaround to the Windows OS (10) udunits error after installation of cfchecker: https://github.com/SciTools/iris/issues/404\\nos.environ[\\\"UDUNITS2_XML_PATH\\\"] = str(\\n    home.joinpath(  # change to the udunits2.xml file dir in your Python installation\\n        r\\\"Anaconda3\\\\pkgs\\\\udunits2-2.2.28-h892ecd3_0\\\\Library\\\\share\\\\udunits\\\\udunits2.xml\\\"\\n    )\\n)\\n\\n# use local or remote data dir\\nuse_local_data = False\\nds_dirname = \\\"WP3\\\"\\n\\nif use_local_data: \\n    ds_dir = tmp_dir.joinpath(ds_dirname)\\nelse: \\n    ds_dir = coclico_data_dir.joinpath(ds_dirname)\\n\\nif not ds_dir.exists():\\n    raise FileNotFoundError(\\\"Directory with data does not exist.\\\")\\n\\n# directory to export result (make if not exists)\\ncog_dir = ds_dir.joinpath(\\\"cog\\\")\\ncog_dirs = ds_dir.joinpath(\\\"cogs\\\") # for making all files CF compliant\\ncog_dir.mkdir(parents=True, exist_ok=True)\\n\\nds_dir = ds_dir.joinpath('data')\\n\\nCF_dir = coclico_data_dir.joinpath(r\\\"CF\\\") \";\n                var nbb_formatted_code = \"# Import standard packages\\nimport os\\nimport pathlib\\nimport sys\\nimport glob\\nimport numpy as np\\nimport geopandas as gpd\\nimport pandas as pd\\nimport matplotlib.pyplot as plt\\nimport xarray as xr\\nimport netCDF4 as nc\\nimport numpy.ma as ma\\nimport rasterio\\nimport rioxarray as rio\\nfrom datacube.utils.cog import write_cog\\n\\n# Make root directories importable by aslpending root to path\\ncwd = pathlib.Path().resolve()\\nsys.path.append(os.path.dirname(cwd))\\n\\n# Get root paths\\nhome = pathlib.Path().home()\\nroot = home.root\\ntmp_dir = home.joinpath(\\\"data\\\", \\\"tmp\\\")\\n\\n# Import custom functionality\\nfrom coclicodata.drive_config import p_drive\\nfrom coclicodata.etl.cf_compliancy_checker import check_compliancy, save_compliancy\\nfrom coastmonitor.io.utils import name_block\\n\\n# Define (local and) remote drives\\ncoclico_data_dir = p_drive.joinpath(\\\"11207608-coclico\\\", \\\"FULLTRACK_DATA\\\")\\n\\n# Workaround to the Windows OS (10) udunits error after installation of cfchecker: https://github.com/SciTools/iris/issues/404\\nos.environ[\\\"UDUNITS2_XML_PATH\\\"] = str(\\n    home.joinpath(  # change to the udunits2.xml file dir in your Python installation\\n        r\\\"Anaconda3\\\\pkgs\\\\udunits2-2.2.28-h892ecd3_0\\\\Library\\\\share\\\\udunits\\\\udunits2.xml\\\"\\n    )\\n)\\n\\n# use local or remote data dir\\nuse_local_data = False\\nds_dirname = \\\"WP3\\\"\\n\\nif use_local_data:\\n    ds_dir = tmp_dir.joinpath(ds_dirname)\\nelse:\\n    ds_dir = coclico_data_dir.joinpath(ds_dirname)\\n\\nif not ds_dir.exists():\\n    raise FileNotFoundError(\\\"Directory with data does not exist.\\\")\\n\\n# directory to export result (make if not exists)\\ncog_dir = ds_dir.joinpath(\\\"cog\\\")\\ncog_dirs = ds_dir.joinpath(\\\"cogs\\\")  # for making all files CF compliant\\ncog_dir.mkdir(parents=True, exist_ok=True)\\n\\nds_dir = ds_dir.joinpath(\\\"data\\\")\\n\\nCF_dir = coclico_data_dir.joinpath(r\\\"CF\\\")\";\n                var nbb_cells = Jupyter.notebook.get_cells();\n                for (var i = 0; i < nbb_cells.length; ++i) {\n                    if (nbb_cells[i].input_prompt_number == nbb_cell_id) {\n                        if (nbb_cells[i].get_text() == nbb_unformatted_code) {\n                             nbb_cells[i].set_text(nbb_formatted_code);\n                        }\n                        break;\n                    }\n                }\n            }, 500);\n            ",
+      "text/plain": [
+       "<IPython.core.display.Javascript object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
     "# Import standard packages\n",
     "import os\n",
     "import pathlib\n",
-    "\n",
     "import sys\n",
+    "import glob\n",
     "import numpy as np\n",
     "import geopandas as gpd\n",
     "import pandas as pd\n",
     "import matplotlib.pyplot as plt\n",
     "import xarray as xr\n",
-    "import math\n",
-    "import itertools\n",
-    "import glob\n",
+    "import netCDF4 as nc\n",
+    "import numpy.ma as ma\n",
+    "import rasterio\n",
+    "import rioxarray as rio\n",
+    "from datacube.utils.cog import write_cog\n",
+    "\n",
+    "# Make root directories importable by aslpending root to path\n",
+    "cwd = pathlib.Path().resolve()\n",
+    "sys.path.append(os.path.dirname(cwd))\n",
+    "\n",
+    "# Get root paths\n",
+    "home = pathlib.Path().home()\n",
+    "root = home.root\n",
+    "tmp_dir = home.joinpath(\"data\", \"tmp\")\n",
     "\n",
     "# Import custom functionality\n",
     "from coclicodata.drive_config import p_drive\n",
     "from coclicodata.etl.cf_compliancy_checker import check_compliancy, save_compliancy\n",
+    "from coastmonitor.io.utils import name_block\n",
     "\n",
     "# Define (local and) remote drives\n",
-    "gca_data_dir = p_drive.joinpath(\"11205479-coclico\",\"FULLTRACK_DATA\",\"WP3\")\n",
+    "coclico_data_dir = p_drive.joinpath(\"11207608-coclico\", \"FULLTRACK_DATA\")\n",
     "\n",
     "# Workaround to the Windows OS (10) udunits error after installation of cfchecker: https://github.com/SciTools/iris/issues/404\n",
     "os.environ[\"UDUNITS2_XML_PATH\"] = str(\n",
-    "    pathlib.Path().home().joinpath(  # change to the udunits2.xml file dir in your Python installation\n",
+    "    home.joinpath(  # change to the udunits2.xml file dir in your Python installation\n",
     "        r\"Anaconda3\\pkgs\\udunits2-2.2.28-h892ecd3_0\\Library\\share\\udunits\\udunits2.xml\"\n",
     "    )\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Project paths & files (manual input)\n",
-    "dataset_dir = gca_data_dir.joinpath(\"pilot\")\n",
-    "dataset_dir_path = dataset_dir.joinpath(\"SLP_MvS.nc\")\n",
-    "ds_out_file = \"SLP_MvS\"\n",
-    "CF_dir = gca_data_dir.joinpath(r\"CF\")  # directory to save output CF check files"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# write csv to netcdf\n",
+    ")\n",
     "\n",
-    "# open all csv files in different dirs\n",
-    "all_files = []\n",
-    "for dir in os.listdir(dataset_dir):\n",
-    "    #if '.' not in dir: # arbitrary, no file extension to determine whether it is dir\n",
-    "        #all_files.append(glob.glob(os.path.join(dataset_dir,  \"*.CSV\")))\n",
-    "        #all_files.append(os.path.join(dataset_dir,  \"*.csv\"))\n",
-    "    if \"csv\" in dir:\n",
-    "        all_files.append(os.path.join(dataset_dir, dir))\n",
+    "# use local or remote data dir\n",
+    "use_local_data = False\n",
+    "ds_dirname = \"WP3\"\n",
     "\n",
-    "# read csv and convert to nc files\n",
-    "li = []\n",
-    "for filename in all_files: #list(itertools.chain(*all_files)):\n",
-    "   \n",
-    "    df = pd.read_csv(filename, index_col=None, header=0)\n",
-    "    li.append(df)\n",
+    "if use_local_data: \n",
+    "    ds_dir = tmp_dir.joinpath(ds_dirname)\n",
+    "else: \n",
+    "    ds_dir = coclico_data_dir.joinpath(ds_dirname)\n",
     "\n",
-    "    ds = xr.Dataset.from_dataframe(df)\n",
-    "    ds.to_netcdf(filename.replace('.csv', '.nc'))\n",
+    "if not ds_dir.exists():\n",
+    "    raise FileNotFoundError(\"Directory with data does not exist.\")\n",
     "\n",
-    "# make one dataframe\n",
-    "df = pd.concat(li, axis=0, ignore_index=True)\n",
+    "# directory to export result (make if not exists)\n",
+    "cog_dir = ds_dir.joinpath(\"cog\")\n",
+    "cog_dirs = ds_dir.joinpath(\"cogs\") # for making all files CF compliant\n",
+    "cog_dir.mkdir(parents=True, exist_ok=True)\n",
     "\n",
-    "# Convert the pandas dataframe to an xarray dataset\n",
-    "ds = xr.Dataset.from_dataframe(df)\n",
+    "ds_dir = ds_dir.joinpath('data')\n",
     "\n",
-    "# Write the xarray dataset to a netCDF file\n",
-    "ds.to_netcdf(dataset_dir.joinpath(\"SLP_MvS.nc\"))"
+    "CF_dir = coclico_data_dir.joinpath(r\"CF\") "
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -482,165 +504,258 @@
        "  fill: currentColor;\n",
        "}\n",
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
-       "Dimensions:  (index: 4)\n",
+       "Dimensions:      (time: 13, x: 360, y: 181)\n",
        "Coordinates:\n",
-       "  * index    (index) int64 0 1 2 3\n",
+       "  * time         (time) object 2031-07-02 12:00:00 ... 2151-07-02 12:00:00\n",
+       "  * x            (x) float64 -180.0 -179.0 -178.0 -177.0 ... 177.0 178.0 179.0\n",
+       "  * y            (y) float64 90.0 89.0 88.0 87.0 ... -87.0 -88.0 -89.0 -90.0\n",
+       "    spatial_ref  int32 0\n",
        "Data variables:\n",
-       "    years    (index) int64 ...\n",
-       "    low      (index) float64 ...\n",
-       "    median   (index) float64 ...\n",
-       "    high     (index) float64 ...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-aad1d91f-a256-429b-83f9-7dace8259efb' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-aad1d91f-a256-429b-83f9-7dace8259efb' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>index</span>: 4</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d1ded899-2e16-490f-b9f5-12d0099714bb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d1ded899-2e16-490f-b9f5-12d0099714bb' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>index</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3</div><input id='attrs-ec796957-36a9-4109-b82e-93dc1809eada' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ec796957-36a9-4109-b82e-93dc1809eada' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c8ee7c7b-8a30-4b5c-ab06-588fc2ec0e40' class='xr-var-data-in' type='checkbox'><label for='data-c8ee7c7b-8a30-4b5c-ab06-588fc2ec0e40' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3], dtype=int64)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cb364360-369f-47d7-9ed2-cb2e31c9b5f6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cb364360-369f-47d7-9ed2-cb2e31c9b5f6' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>years</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ae6590aa-8ce0-4dca-9d78-bc019c3c1b2f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ae6590aa-8ce0-4dca-9d78-bc019c3c1b2f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d35a6cee-3856-4e3c-b51f-aaf45b0315a9' class='xr-var-data-in' type='checkbox'><label for='data-d35a6cee-3856-4e3c-b51f-aaf45b0315a9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[4 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>low</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-13bd6eab-3e0f-4359-bbd7-200314537cff' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-13bd6eab-3e0f-4359-bbd7-200314537cff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3469525d-3575-41b2-9f06-a210e967800b' class='xr-var-data-in' type='checkbox'><label for='data-3469525d-3575-41b2-9f06-a210e967800b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[4 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>median</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0acaa5f6-c539-4c78-bcb7-8dc9825893ad' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0acaa5f6-c539-4c78-bcb7-8dc9825893ad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-53454575-2cf2-4026-a100-6f6dcf8b4226' class='xr-var-data-in' type='checkbox'><label for='data-53454575-2cf2-4026-a100-6f6dcf8b4226' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[4 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>high</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5ae36084-5ea7-4bee-9afa-44bb04943888' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5ae36084-5ea7-4bee-9afa-44bb04943888' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d86763de-701a-4b9e-9d37-bad58db9e0b8' class='xr-var-data-in' type='checkbox'><label for='data-d86763de-701a-4b9e-9d37-bad58db9e0b8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[4 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6ba20163-9f88-485c-8739-62be2000f119' class='xr-section-summary-in' type='checkbox'  ><label for='section-6ba20163-9f88-485c-8739-62be2000f119' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>index</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a56ca0fb-8706-4676-9f26-00249faf1112' class='xr-index-data-in' type='checkbox'/><label for='index-a56ca0fb-8706-4676-9f26-00249faf1112' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1, 2, 3], dtype=&#x27;int64&#x27;, name=&#x27;index&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3804035e-c133-46bd-980a-5777f7102a14' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3804035e-c133-46bd-980a-5777f7102a14' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "    msl_h        (time, y, x) float32 ...\n",
+       "    msl_m        (time, y, x) float32 ...\n",
+       "    msl_l        (time, y, x) float32 ...\n",
+       "Attributes:\n",
+       "    Conventions:  CF-1.8\n",
+       "    crs:          4326\n",
+       "    description:  Combined confidence output file for AR6 sea-level change pr...\n",
+       "    history:      Created  2023-10-05 10:41:05\n",
+       "    title:        High-end Regional SLR projections for CoCliCo [https://cocl...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-08062f65-6762-4dd3-a27d-417a1a87315a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-08062f65-6762-4dd3-a27d-417a1a87315a' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 13</li><li><span class='xr-has-index'>x</span>: 360</li><li><span class='xr-has-index'>y</span>: 181</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-ca3014e3-7a2b-4a2e-a2a7-ab839c15ad2b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ca3014e3-7a2b-4a2e-a2a7-ab839c15ad2b' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>2031-07-02 12:00:00 ... 2151-07-...</div><input id='attrs-ad2781ec-02ea-47d8-8115-6be1cfb57dd6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ad2781ec-02ea-47d8-8115-6be1cfb57dd6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-720a75e7-658b-4701-9eaa-e51e6cc3cf84' class='xr-var-data-in' type='checkbox'><label for='data-720a75e7-658b-4701-9eaa-e51e6cc3cf84' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeNoLeap(2031, 7, 2, 12, 0, 0, 0, has_year_zero=True),\n",
+       "       cftime.DatetimeNoLeap(2041, 7, 2, 12, 0, 0, 0, has_year_zero=True),\n",
+       "       cftime.DatetimeNoLeap(2051, 7, 2, 12, 0, 0, 0, has_year_zero=True),\n",
+       "       cftime.DatetimeNoLeap(2061, 7, 2, 12, 0, 0, 0, has_year_zero=True),\n",
+       "       cftime.DatetimeNoLeap(2071, 7, 2, 12, 0, 0, 0, has_year_zero=True),\n",
+       "       cftime.DatetimeNoLeap(2081, 7, 2, 12, 0, 0, 0, has_year_zero=True),\n",
+       "       cftime.DatetimeNoLeap(2091, 7, 2, 12, 0, 0, 0, has_year_zero=True),\n",
+       "       cftime.DatetimeNoLeap(2101, 7, 2, 12, 0, 0, 0, has_year_zero=True),\n",
+       "       cftime.DatetimeNoLeap(2111, 7, 2, 12, 0, 0, 0, has_year_zero=True),\n",
+       "       cftime.DatetimeNoLeap(2121, 7, 2, 12, 0, 0, 0, has_year_zero=True),\n",
+       "       cftime.DatetimeNoLeap(2131, 7, 2, 12, 0, 0, 0, has_year_zero=True),\n",
+       "       cftime.DatetimeNoLeap(2141, 7, 2, 12, 0, 0, 0, has_year_zero=True),\n",
+       "       cftime.DatetimeNoLeap(2151, 7, 2, 12, 0, 0, 0, has_year_zero=True)],\n",
+       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-180.0 -179.0 ... 178.0 179.0</div><input id='attrs-4c78e726-8646-408d-91e9-06e85885131f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4c78e726-8646-408d-91e9-06e85885131f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a1f2741-bf53-4637-aca7-bb42240e300d' class='xr-var-data-in' type='checkbox'><label for='data-0a1f2741-bf53-4637-aca7-bb42240e300d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-180., -179., -178., ...,  177.,  178.,  179.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>90.0 89.0 88.0 ... -89.0 -90.0</div><input id='attrs-de64e53a-b26c-4d46-b670-789d447c4e19' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-de64e53a-b26c-4d46-b670-789d447c4e19' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ae214be-db74-47b5-8aad-7565964da957' class='xr-var-data-in' type='checkbox'><label for='data-9ae214be-db74-47b5-8aad-7565964da957' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 90.,  89.,  88.,  87.,  86.,  85.,  84.,  83.,  82.,  81.,  80.,  79.,\n",
+       "        78.,  77.,  76.,  75.,  74.,  73.,  72.,  71.,  70.,  69.,  68.,  67.,\n",
+       "        66.,  65.,  64.,  63.,  62.,  61.,  60.,  59.,  58.,  57.,  56.,  55.,\n",
+       "        54.,  53.,  52.,  51.,  50.,  49.,  48.,  47.,  46.,  45.,  44.,  43.,\n",
+       "        42.,  41.,  40.,  39.,  38.,  37.,  36.,  35.,  34.,  33.,  32.,  31.,\n",
+       "        30.,  29.,  28.,  27.,  26.,  25.,  24.,  23.,  22.,  21.,  20.,  19.,\n",
+       "        18.,  17.,  16.,  15.,  14.,  13.,  12.,  11.,  10.,   9.,   8.,   7.,\n",
+       "         6.,   5.,   4.,   3.,   2.,   1.,   0.,  -1.,  -2.,  -3.,  -4.,  -5.,\n",
+       "        -6.,  -7.,  -8.,  -9., -10., -11., -12., -13., -14., -15., -16., -17.,\n",
+       "       -18., -19., -20., -21., -22., -23., -24., -25., -26., -27., -28., -29.,\n",
+       "       -30., -31., -32., -33., -34., -35., -36., -37., -38., -39., -40., -41.,\n",
+       "       -42., -43., -44., -45., -46., -47., -48., -49., -50., -51., -52., -53.,\n",
+       "       -54., -55., -56., -57., -58., -59., -60., -61., -62., -63., -64., -65.,\n",
+       "       -66., -67., -68., -69., -70., -71., -72., -73., -74., -75., -76., -77.,\n",
+       "       -78., -79., -80., -81., -82., -83., -84., -85., -86., -87., -88., -89.,\n",
+       "       -90.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-2656590a-1ac6-4371-96f9-a45ba2ea3320' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2656590a-1ac6-4371-96f9-a45ba2ea3320' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dfeb917e-ab5e-48be-a684-05c0b1b3fc44' class='xr-var-data-in' type='checkbox'><label for='data-dfeb917e-ab5e-48be-a684-05c0b1b3fc44' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314245179</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>WGS 84</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>WGS 84</dd><dt><span>horizontal_datum_name :</span></dt><dd>World Geodetic System 1984</dd><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>spatial_ref :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd><dt><span>GeoTransform :</span></dt><dd>-180.5 1.0 0.0 90.5 0.0 -1.0</dd></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-94048ee3-4880-4886-bd4f-465c68308e88' class='xr-section-summary-in' type='checkbox'  checked><label for='section-94048ee3-4880-4886-bd4f-465c68308e88' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>msl_h</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f864d22f-3480-473c-abc5-3f11aa215d8a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f864d22f-3480-473c-abc5-3f11aa215d8a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7770edcf-3d94-4210-be94-c46cf699dde9' class='xr-var-data-in' type='checkbox'><label for='data-7770edcf-3d94-4210-be94-c46cf699dde9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>lat#axis :</span></dt><dd>Y</dd><dt><span>lat#long_name :</span></dt><dd>Latitude</dd><dt><span>lat#standard_name :</span></dt><dd>latitude</dd><dt><span>lat#units :</span></dt><dd>degrees_north</dd><dt><span>lon#axis :</span></dt><dd>X</dd><dt><span>lon#long_name :</span></dt><dd>Longitude</dd><dt><span>lon#standard_name :</span></dt><dd>longitude</dd><dt><span>lon#units :</span></dt><dd>degrees_east</dd><dt><span>NETCDF_DIM_EXTRA :</span></dt><dd>{time}</dd><dt><span>NETCDF_DIM_time_DEF :</span></dt><dd>[13.  6.]</dd><dt><span>NETCDF_DIM_time_VALUES :</span></dt><dd>[741132.5 744782.5 748432.5 752082.5 755732.5 759382.5 763032.5 766682.5\n",
+       " 770332.5 773982.5 777632.5 781282.5 784932.5]</dd><dt><span>long_name :</span></dt><dd>mean_sea_level_upperbound</dd><dt><span>units :</span></dt><dd>(&#x27;m&#x27;, &#x27;m&#x27;, &#x27;m&#x27;, &#x27;m&#x27;, &#x27;m&#x27;, &#x27;m&#x27;, &#x27;m&#x27;, &#x27;m&#x27;, &#x27;m&#x27;, &#x27;m&#x27;, &#x27;m&#x27;, &#x27;m&#x27;, &#x27;m&#x27;)</dd><dt><span>_FillValue :</span></dt><dd>nan</dd><dt><span>scale_factor :</span></dt><dd>1.0</dd><dt><span>add_offset :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[847080 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>msl_m</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b0a496c6-b42e-479c-b9e8-6f4492c63e82' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b0a496c6-b42e-479c-b9e8-6f4492c63e82' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0ddeeef0-4993-4914-9f91-a66d8fba3fda' class='xr-var-data-in' type='checkbox'><label for='data-0ddeeef0-4993-4914-9f91-a66d8fba3fda' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>lat#axis :</span></dt><dd>Y</dd><dt><span>lat#long_name :</span></dt><dd>Latitude</dd><dt><span>lat#standard_name :</span></dt><dd>latitude</dd><dt><span>lat#units :</span></dt><dd>degrees_north</dd><dt><span>lon#axis :</span></dt><dd>X</dd><dt><span>lon#long_name :</span></dt><dd>Longitude</dd><dt><span>lon#standard_name :</span></dt><dd>longitude</dd><dt><span>lon#units :</span></dt><dd>degrees_east</dd><dt><span>NETCDF_DIM_EXTRA :</span></dt><dd>{time}</dd><dt><span>NETCDF_DIM_time_DEF :</span></dt><dd>[13.  6.]</dd><dt><span>NETCDF_DIM_time_VALUES :</span></dt><dd>[741132.5 744782.5 748432.5 752082.5 755732.5 759382.5 763032.5 766682.5\n",
+       " 770332.5 773982.5 777632.5 781282.5 784932.5]</dd><dt><span>long_name :</span></dt><dd>mean_sea_level_median</dd><dt><span>units :</span></dt><dd>(&#x27;m&#x27;, &#x27;m&#x27;, &#x27;m&#x27;, &#x27;m&#x27;, &#x27;m&#x27;, &#x27;m&#x27;, &#x27;m&#x27;, &#x27;m&#x27;, &#x27;m&#x27;, &#x27;m&#x27;, &#x27;m&#x27;, &#x27;m&#x27;, &#x27;m&#x27;)</dd><dt><span>_FillValue :</span></dt><dd>nan</dd><dt><span>scale_factor :</span></dt><dd>1.0</dd><dt><span>add_offset :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[847080 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>msl_l</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ff3598d5-267c-437c-98db-e5d8c3644f4a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ff3598d5-267c-437c-98db-e5d8c3644f4a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b3180a69-1255-4090-8fbe-748526b37c9e' class='xr-var-data-in' type='checkbox'><label for='data-b3180a69-1255-4090-8fbe-748526b37c9e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>lat#axis :</span></dt><dd>Y</dd><dt><span>lat#long_name :</span></dt><dd>Latitude</dd><dt><span>lat#standard_name :</span></dt><dd>latitude</dd><dt><span>lat#units :</span></dt><dd>degrees_north</dd><dt><span>lon#axis :</span></dt><dd>X</dd><dt><span>lon#long_name :</span></dt><dd>Longitude</dd><dt><span>lon#standard_name :</span></dt><dd>longitude</dd><dt><span>lon#units :</span></dt><dd>degrees_east</dd><dt><span>NETCDF_DIM_EXTRA :</span></dt><dd>{time}</dd><dt><span>NETCDF_DIM_time_DEF :</span></dt><dd>[13.  6.]</dd><dt><span>NETCDF_DIM_time_VALUES :</span></dt><dd>[741132.5 744782.5 748432.5 752082.5 755732.5 759382.5 763032.5 766682.5\n",
+       " 770332.5 773982.5 777632.5 781282.5 784932.5]</dd><dt><span>long_name :</span></dt><dd>mean_sea_level_lowerbound</dd><dt><span>units :</span></dt><dd>(&#x27;m&#x27;, &#x27;m&#x27;, &#x27;m&#x27;, &#x27;m&#x27;, &#x27;m&#x27;, &#x27;m&#x27;, &#x27;m&#x27;, &#x27;m&#x27;, &#x27;m&#x27;, &#x27;m&#x27;, &#x27;m&#x27;, &#x27;m&#x27;, &#x27;m&#x27;)</dd><dt><span>_FillValue :</span></dt><dd>nan</dd><dt><span>scale_factor :</span></dt><dd>1.0</dd><dt><span>add_offset :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[847080 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6a211da3-6136-46b5-85dc-88aea4707feb' class='xr-section-summary-in' type='checkbox'  ><label for='section-6a211da3-6136-46b5-85dc-88aea4707feb' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1467245e-bf4f-4879-8096-e766b60bad54' class='xr-index-data-in' type='checkbox'/><label for='index-1467245e-bf4f-4879-8096-e766b60bad54' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(CFTimeIndex([2031-07-02 12:00:00, 2041-07-02 12:00:00, 2051-07-02 12:00:00,\n",
+       "             2061-07-02 12:00:00, 2071-07-02 12:00:00, 2081-07-02 12:00:00,\n",
+       "             2091-07-02 12:00:00, 2101-07-02 12:00:00, 2111-07-02 12:00:00,\n",
+       "             2121-07-02 12:00:00, 2131-07-02 12:00:00, 2141-07-02 12:00:00,\n",
+       "             2151-07-02 12:00:00],\n",
+       "            dtype=&#x27;object&#x27;, length=13, calendar=&#x27;noleap&#x27;, freq=&#x27;3650D&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-394e4a39-a4cc-40d4-ba64-cc92d51299f0' class='xr-index-data-in' type='checkbox'/><label for='index-394e4a39-a4cc-40d4-ba64-cc92d51299f0' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-180.0, -179.0, -178.0, -177.0, -176.0, -175.0, -174.0, -173.0, -172.0,\n",
+       "       -171.0,\n",
+       "       ...\n",
+       "        170.0,  171.0,  172.0,  173.0,  174.0,  175.0,  176.0,  177.0,  178.0,\n",
+       "        179.0],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=360))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-074a36ee-3acf-46cd-a17c-031c9ee84a02' class='xr-index-data-in' type='checkbox'/><label for='index-074a36ee-3acf-46cd-a17c-031c9ee84a02' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 90.0,  89.0,  88.0,  87.0,  86.0,  85.0,  84.0,  83.0,  82.0,  81.0,\n",
+       "       ...\n",
+       "       -81.0, -82.0, -83.0, -84.0, -85.0, -86.0, -87.0, -88.0, -89.0, -90.0],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;, length=181))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-66a958c8-8274-485b-a18a-8755a3228a88' class='xr-section-summary-in' type='checkbox'  checked><label for='section-66a958c8-8274-485b-a18a-8755a3228a88' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.8</dd><dt><span>crs :</span></dt><dd>4326</dd><dt><span>description :</span></dt><dd>Combined confidence output file for AR6 sea-level change projections without VLM [https://zenodo.org/record/6382554#.ZCcIRvbP1PY]. \n",
+       "                                 GIA contribution is from GIA model statistics Caron et al. (2018) [https://doi.org/10.1002/2017GL076644]. \n",
+       "                                 The corresponding gridded GIA dataset is from Frederikse et al. (2019) [https://doi.org/10.5194/se-10-1971-2019]</dd><dt><span>history :</span></dt><dd>Created  2023-10-05 10:41:05</dd><dt><span>title :</span></dt><dd>High-end Regional SLR projections for CoCliCo [https://coclicoservices.eu/]</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset>\n",
-       "Dimensions:  (index: 4)\n",
+       "Dimensions:      (time: 13, x: 360, y: 181)\n",
        "Coordinates:\n",
-       "  * index    (index) int64 0 1 2 3\n",
+       "  * time         (time) object 2031-07-02 12:00:00 ... 2151-07-02 12:00:00\n",
+       "  * x            (x) float64 -180.0 -179.0 -178.0 -177.0 ... 177.0 178.0 179.0\n",
+       "  * y            (y) float64 90.0 89.0 88.0 87.0 ... -87.0 -88.0 -89.0 -90.0\n",
+       "    spatial_ref  int32 0\n",
        "Data variables:\n",
-       "    years    (index) int64 ...\n",
-       "    low      (index) float64 ...\n",
-       "    median   (index) float64 ...\n",
-       "    high     (index) float64 ..."
+       "    msl_h        (time, y, x) float32 ...\n",
+       "    msl_m        (time, y, x) float32 ...\n",
+       "    msl_l        (time, y, x) float32 ...\n",
+       "Attributes:\n",
+       "    Conventions:  CF-1.8\n",
+       "    crs:          4326\n",
+       "    description:  Combined confidence output file for AR6 sea-level change pr...\n",
+       "    history:      Created  2023-10-05 10:41:05\n",
+       "    title:        High-end Regional SLR projections for CoCliCo [https://cocl..."
       ]
      },
-     "execution_count": 4,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "application/javascript": "\n            setTimeout(function() {\n                var nbb_cell_id = 3;\n                var nbb_unformatted_code = \"# Check CF_compliancy of one .nc file (will be converted to .tif so not necessary, but is formed as .nc right now so might as well)\\nds_test_path = ds_dir.joinpath(\\\"SLR_high_end_CoCliCo_integrated_scenario.nc\\\")\\nds_test = rio.open_rasterio(ds_test_path)\\nds_test\";\n                var nbb_formatted_code = \"# Check CF_compliancy of one .nc file (will be converted to .tif so not necessary, but is formed as .nc right now so might as well)\\nds_test_path = ds_dir.joinpath(\\\"SLR_high_end_CoCliCo_integrated_scenario.nc\\\")\\nds_test = rio.open_rasterio(ds_test_path)\\nds_test\";\n                var nbb_cells = Jupyter.notebook.get_cells();\n                for (var i = 0; i < nbb_cells.length; ++i) {\n                    if (nbb_cells[i].input_prompt_number == nbb_cell_id) {\n                        if (nbb_cells[i].get_text() == nbb_unformatted_code) {\n                             nbb_cells[i].set_text(nbb_formatted_code);\n                        }\n                        break;\n                    }\n                }\n            }, 500);\n            ",
+      "text/plain": [
+       "<IPython.core.display.Javascript object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
-    "# open datasets (only first file, rest is the same)\n",
-    "ds = xr.open_dataset(all_files[0].replace('.csv', '.nc'))\n",
-    "\n",
-    "# check original dataset\n",
-    "ds"
+    "# Check CF_compliancy of one .nc file (will be converted to .tif so not necessary, but is formed as .nc right now so might as well)\n",
+    "ds_test_path = ds_dir.joinpath(\"SLR_high_end_CoCliCo_integrated_scenario.nc\")\n",
+    "ds_test = rio.open_rasterio(ds_test_path)\n",
+    "ds_test"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "application/javascript": "\n            setTimeout(function() {\n                var nbb_cell_id = 4;\n                var nbb_unformatted_code = \"%%capture cap --no-stderr\\n# check original CF compliancy\\n\\ncheck_compliancy(testfile=ds_test_path, working_dir=CF_dir)\";\n                var nbb_formatted_code = \"%%capture cap --no-stderr\\n# check original CF compliancy\\n\\ncheck_compliancy(testfile=ds_test_path, working_dir=CF_dir)\";\n                var nbb_cells = Jupyter.notebook.get_cells();\n                for (var i = 0; i < nbb_cells.length; ++i) {\n                    if (nbb_cells[i].input_prompt_number == nbb_cell_id) {\n                        if (nbb_cells[i].get_text() == nbb_unformatted_code) {\n                             nbb_cells[i].set_text(nbb_formatted_code);\n                        }\n                        break;\n                    }\n                }\n            }, 500);\n            ",
+      "text/plain": [
+       "<IPython.core.display.Javascript object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "%%capture cap --no-stderr\n",
-    "# check original CF compliancy (for first file)\n",
+    "# check original CF compliancy\n",
     "\n",
-    "check_compliancy(testfile=all_files[0].replace('.csv', '.nc'), \n",
-    "                 working_dir=CF_dir\n",
-    "                 )       "
+    "check_compliancy(testfile=ds_test_path, working_dir=CF_dir)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "{'P:\\\\11205479-coclico\\\\FULLTRACK_DATA\\\\WP3\\\\pilot\\\\MSL_Genova_high_end.nc': {'warnings': '7', 'errors': '0'}}\n"
+      "{'P:\\\\11207608-coclico\\\\FULLTRACK_DATA\\\\WP3\\\\data\\\\SLR_high_end_CoCliCo_integrated_scenario.nc': {'warnings': '0', 'errors': '0'}}\n",
+      "no warnings or errors, whoop! :)\n"
      ]
+    },
+    {
+     "data": {
+      "application/javascript": "\n            setTimeout(function() {\n                var nbb_cell_id = 5;\n                var nbb_unformatted_code = \"# save original CF compliancy\\nsave_compliancy(cap, testfile=ds_test_path, working_dir=CF_dir)\\nprint(\\\"no warnings or errors, whoop! :)\\\")\";\n                var nbb_formatted_code = \"# save original CF compliancy\\nsave_compliancy(cap, testfile=ds_test_path, working_dir=CF_dir)\\nprint(\\\"no warnings or errors, whoop! :)\\\")\";\n                var nbb_cells = Jupyter.notebook.get_cells();\n                for (var i = 0; i < nbb_cells.length; ++i) {\n                    if (nbb_cells[i].input_prompt_number == nbb_cell_id) {\n                        if (nbb_cells[i].get_text() == nbb_unformatted_code) {\n                             nbb_cells[i].set_text(nbb_formatted_code);\n                        }\n                        break;\n                    }\n                }\n            }, 500);\n            ",
+      "text/plain": [
+       "<IPython.core.display.Javascript object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
-    "# save original CF compliancy (for first file)\n",
-    "save_compliancy(cap, testfile=all_files[0].replace('.csv', '.nc'), working_dir=CF_dir)          "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Make CF compliant alterations to the NetCDF files (dataset dependent)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# open datasets\n",
-    "ds_list = []\n",
-    "for i in all_files:\n",
-    "    ds_list.append(xr.open_dataset(i.replace('.csv', '.nc')))"
+    "# save original CF compliancy\n",
+    "save_compliancy(cap, testfile=ds_test_path, working_dir=CF_dir)\n",
+    "print(\"no warnings or errors, whoop! :)\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 6,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "application/javascript": "\n            setTimeout(function() {\n                var nbb_cell_id = 6;\n                var nbb_unformatted_code = \"# NetCDF attribute alterations by means of metadata template\\nimport json\\nmeta_json = open(ds_dir.joinpath(\\\"SLR_high-end_CoCliCo_integrated_scenario.json\\\"), 'r')\\nmeta_data = json.load(meta_json)\\n\\n# NOTE: json module can not handle trailing comma's, these have manually been deleted from the data\";\n                var nbb_formatted_code = \"# NetCDF attribute alterations by means of metadata template\\nimport json\\n\\nmeta_json = open(ds_dir.joinpath(\\\"SLR_high-end_CoCliCo_integrated_scenario.json\\\"), \\\"r\\\")\\nmeta_data = json.load(meta_json)\\n\\n# NOTE: json module can not handle trailing comma's, these have manually been deleted from the data\";\n                var nbb_cells = Jupyter.notebook.get_cells();\n                for (var i = 0; i < nbb_cells.length; ++i) {\n                    if (nbb_cells[i].input_prompt_number == nbb_cell_id) {\n                        if (nbb_cells[i].get_text() == nbb_unformatted_code) {\n                             nbb_cells[i].set_text(nbb_formatted_code);\n                        }\n                        break;\n                    }\n                }\n            }, 500);\n            ",
+      "text/plain": [
+       "<IPython.core.display.Javascript object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "import json\n",
-    "\n",
     "# NetCDF attribute alterations by means of metadata template\n",
-    "f_global = open(gca_data_dir.joinpath(\"metadata\", \"metadata_SLP.json\"))\n",
-    "meta_global = json.load(f_global)\n",
-    "\n",
-    "for i in ds_list:\n",
-    "    for attr_name, attr_val in meta_global.items():\n",
-    "        if attr_name == 'PROVIDERS':\n",
-    "            attr_val = json.dumps(attr_val)\n",
-    "        i.attrs[attr_name] = attr_val\n",
+    "import json\n",
+    "meta_json = open(ds_dir.joinpath(\"SLR_high-end_CoCliCo_integrated_scenario.json\"), 'r')\n",
+    "meta_data = json.load(meta_json)\n",
     "\n",
-    "    i.attrs['Conventions'] = \"CF-1.8\""
+    "# NOTE: json module can not handle trailing comma's, these have manually been deleted from the data"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 8,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "application/javascript": "\n            setTimeout(function() {\n                var nbb_cell_id = 8;\n                var nbb_unformatted_code = \"# Test for single .nc-file\\nslp_test = xr.open_dataset(ds_test_path, engine=\\\"rasterio\\\", mask_and_scale=False) \\n\\n# Iterate over variables within dataset (in this case: mean sea level high, medium and low)\\nfor itime, time in enumerate(slp_test['time'].values):    \\n    for var in slp_test:\\n    \\n        # Select the variable and timestep from dataset\\n        da = slp_test[var].isel(time = itime)\\n        da.drop('time')\\n\\n        # Set no data values\\n        da = (\\n        da.where(da != -2147483648, -9999)\\n        .astype(\\\"float64\\\")\\n        .rio.write_nodata(-9999)\\n        .rio.set_spatial_dims(x_dim=\\\"x\\\", y_dim=\\\"y\\\")\\n        )\\n\\n        # Set final output file name, nc-file is broken down into tif's \\n        item_name = str(var) + '.tif'\\n        \\n        # convert to dataset\\n        dad = da.to_dataset()\\n\\n        # add all attributes (again)\\n        for attr_name, attr_val in meta_data.items():\\n            if attr_name == 'PROVIDERS':\\n                attr_val = json.dumps(attr_val)\\n            if attr_name == \\\"MEDIA_TYPE\\\":       # change media type to tiff, leave the rest as is\\n                attr_val = \\\"IMAGE/TIFF\\\"\\n            if attr_name == 'TEMPORAL_EXTENT':  # only add the relevant year to the tif\\n                attr_val = attr_val[itime]  \\t# NOTE: coded to match timing of the netcdf\\n            dad.attrs[attr_name] = attr_val\\n\\n        dad.attrs['Conventions'] = \\\"CF-1.8\\\"\\n\\n        # Remove leftover NETCDF attributes\\n        attrs_del = 'NETCDF_DIM_EXTRA','NETCDF_DIM_time_DEF','NETCDF_DIM_time_VALUES'\\n        for attr_del in attrs_del:\\n            del dad[var].attrs[attr_del]\\n\\n        # export file\\n        outpath = cog_dir.joinpath(str(time.year))\\n        outpath.mkdir(parents=True, exist_ok=True)\\n        outpath = outpath.joinpath(item_name)\\n        dad.rio.to_raster(outpath, compress = 'DEFLATE', driver= 'COG')\";\n                var nbb_formatted_code = \"# Test for single .nc-file\\nslp_test = xr.open_dataset(ds_test_path, engine=\\\"rasterio\\\", mask_and_scale=False)\\n\\n# Iterate over variables within dataset (in this case: mean sea level high, medium and low)\\nfor itime, time in enumerate(slp_test[\\\"time\\\"].values):\\n    for var in slp_test:\\n        # Select the variable and timestep from dataset\\n        da = slp_test[var].isel(time=itime)\\n        da.drop(\\\"time\\\")\\n\\n        # Set no data values\\n        da = (\\n            da.where(da != -2147483648, -9999)\\n            .astype(\\\"float64\\\")\\n            .rio.write_nodata(-9999)\\n            .rio.set_spatial_dims(x_dim=\\\"x\\\", y_dim=\\\"y\\\")\\n        )\\n\\n        # Set final output file name, nc-file is broken down into tif's\\n        item_name = str(var) + \\\".tif\\\"\\n\\n        # convert to dataset\\n        dad = da.to_dataset()\\n\\n        # add all attributes (again)\\n        for attr_name, attr_val in meta_data.items():\\n            if attr_name == \\\"PROVIDERS\\\":\\n                attr_val = json.dumps(attr_val)\\n            if (\\n                attr_name == \\\"MEDIA_TYPE\\\"\\n            ):  # change media type to tiff, leave the rest as is\\n                attr_val = \\\"IMAGE/TIFF\\\"\\n            if attr_name == \\\"TEMPORAL_EXTENT\\\":  # only add the relevant year to the tif\\n                attr_val = attr_val[itime]  # NOTE: coded to match timing of the netcdf\\n            dad.attrs[attr_name] = attr_val\\n\\n        dad.attrs[\\\"Conventions\\\"] = \\\"CF-1.8\\\"\\n\\n        # Remove leftover NETCDF attributes\\n        attrs_del = \\\"NETCDF_DIM_EXTRA\\\", \\\"NETCDF_DIM_time_DEF\\\", \\\"NETCDF_DIM_time_VALUES\\\"\\n        for attr_del in attrs_del:\\n            del dad[var].attrs[attr_del]\\n\\n        # export file\\n        outpath = cog_dir.joinpath(str(time.year))\\n        outpath.mkdir(parents=True, exist_ok=True)\\n        outpath = outpath.joinpath(item_name)\\n        dad.rio.to_raster(outpath, compress=\\\"DEFLATE\\\", driver=\\\"COG\\\")\";\n                var nbb_cells = Jupyter.notebook.get_cells();\n                for (var i = 0; i < nbb_cells.length; ++i) {\n                    if (nbb_cells[i].input_prompt_number == nbb_cell_id) {\n                        if (nbb_cells[i].get_text() == nbb_unformatted_code) {\n                             nbb_cells[i].set_text(nbb_formatted_code);\n                        }\n                        break;\n                    }\n                }\n            }, 500);\n            ",
+      "text/plain": [
+       "<IPython.core.display.Javascript object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "# NetCDF variable and dimension alterations (per dataset)\n",
-    "ds_list_CF = []\n",
-    "ensemble_vars = [\"low\",\"median\",\"high\"]\n",
-    "\n",
-    "for i, j in zip(ds_list, all_files):\n",
+    "# Test for single .nc-file\n",
+    "slp_test = xr.open_dataset(ds_test_path, engine=\"rasterio\", mask_and_scale=False) \n",
     "\n",
-    "    # extract values from xarray dataset and concatenate using numpy, then reshape to match dataset dimensions\n",
-    "    data_array = np.concatenate([i[var].values for var in ensemble_vars])\n",
-    "    data_array_r = data_array.reshape((len(ensemble_vars), len(i['low'].values)))\n",
+    "# Iterate over variables within dataset (in this case: mean sea level high, medium and low)\n",
+    "for itime, time in enumerate(slp_test['time'].values):    \n",
+    "    for var in slp_test:\n",
     "    \n",
-    "    # transform year data from integer to pd.time\n",
-    "    i = i.rename_vars({\"years\":\"time\"})\n",
-    "    i = i.set_coords(['time'])\n",
-    "    i = i.assign(time=('time', i['time'].values))\n",
-    "    \n",
-    "    # remove unconcatenated variables, to be filled in later using data_array_r\n",
-    "    i = i.drop(['index']+ensemble_vars)\n",
+    "        # Select the variable and timestep from dataset\n",
+    "        da = slp_test[var].isel(time = itime)\n",
+    "        da.drop('time')\n",
+    "\n",
+    "        # Set no data values\n",
+    "        da = (\n",
+    "        da.where(da != -2147483648, -9999)\n",
+    "        .astype(\"float64\")\n",
+    "        .rio.write_nodata(-9999)\n",
+    "        .rio.set_spatial_dims(x_dim=\"x\", y_dim=\"y\")\n",
+    "        )\n",
     "\n",
-    "    # expand dimension with data variables\n",
-    "    i = i.assign(ensemble=(\"nensemble\", np.array(ensemble_vars, dtype=\"S\")))\n",
-    "    i = i.set_coords(\"ensemble\")\n",
-    " \n",
-    "    # # add reshaped data array to the xarray dataset\n",
-    "    i = i.assign(slr=([\"nensemble\", \"time\"], data_array_r))\n",
+    "        # Set final output file name, nc-file is broken down into tif's \n",
+    "        item_name = str(var) + '.tif'\n",
+    "        \n",
+    "        # convert to dataset\n",
+    "        dad = da.to_dataset()\n",
     "\n",
-    "    # add or change certain variable / coordinate attributes\n",
-    "    dataset_attributes = {\n",
-    "        \"slr\": {\"long_name\": \"sea level projections\", \"units\": \"m\"},\n",
-    "        \"time\": {\"long_name\": \"time projections\", \"units\": \"yr\"},\n",
-    "        \"ensemble\": {\"long_name\": \"ensemble\", \"units\": \"1\"}, # set to 1 if no unit\n",
-    "    }  # specify custom (CF convention) attributes\n",
+    "        # add all attributes (again)\n",
+    "        for attr_name, attr_val in meta_data.items():\n",
+    "            if attr_name == 'PROVIDERS':\n",
+    "                attr_val = json.dumps(attr_val)\n",
+    "            if attr_name == \"MEDIA_TYPE\":       # change media type to tiff, leave the rest as is\n",
+    "                attr_val = \"IMAGE/TIFF\"\n",
+    "            if attr_name == 'TEMPORAL_EXTENT':  # only add the relevant year to the tif\n",
+    "                attr_val = attr_val[itime]  \t# NOTE: coded to match timing of the netcdf\n",
+    "            dad.attrs[attr_name] = attr_val\n",
     "\n",
-    "    # add / overwrite attributes\n",
-    "    for k, v in dataset_attributes.items():\n",
-    "        try:\n",
-    "            i[k].attrs = dataset_attributes[k]\n",
-    "        except:\n",
-    "            continue\n",
+    "        dad.attrs['Conventions'] = \"CF-1.8\"\n",
     "\n",
-    "    i.to_netcdf(path=str(j).replace(\".csv\", \"_CF.nc\")) # save single CF compliant files\n",
+    "        # Remove leftover NETCDF attributes\n",
+    "        attrs_del = 'NETCDF_DIM_EXTRA','NETCDF_DIM_time_DEF','NETCDF_DIM_time_VALUES'\n",
+    "        for attr_del in attrs_del:\n",
+    "            del dad[var].attrs[attr_del]\n",
     "\n",
-    "    ds_list_CF.append(i)"
+    "        # export file\n",
+    "        outpath = cog_dir.joinpath(str(time.year))\n",
+    "        outpath.mkdir(parents=True, exist_ok=True)\n",
+    "        outpath = outpath.joinpath(item_name)\n",
+    "        dad.rio.to_raster(outpath, compress = 'DEFLATE', driver= 'COG')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -1010,62 +1125,152 @@
        "  fill: currentColor;\n",
        "}\n",
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
-       "Dimensions:  (index: 4)\n",
+       "Dimensions:      (x: 360, y: 181)\n",
        "Coordinates:\n",
-       "  * index    (index) int64 0 1 2 3\n",
+       "    time         object 2151-07-02 12:00:00\n",
+       "  * x            (x) float64 -180.0 -179.0 -178.0 -177.0 ... 177.0 178.0 179.0\n",
+       "  * y            (y) float64 90.0 89.0 88.0 87.0 ... -87.0 -88.0 -89.0 -90.0\n",
+       "    spatial_ref  int32 0\n",
        "Data variables:\n",
-       "    years    (index) int64 ...\n",
-       "    low      (index) float64 0.07438 0.1807 0.5954 0.8804\n",
-       "    median   (index) float64 0.1196 0.2641 0.9028 2.012\n",
-       "    high     (index) float64 0.1777 0.4003 1.41 5.242\n",
-       "Attributes: (12/21)\n",
-       "    TITLE:               Sea level projections\n",
-       "    TITLE_ABBREVIATION:  slp\n",
-       "    DESCRIPTION:         to be done later...\n",
-       "    SHORT_DESCRIPTION:   to be done later...\n",
-       "    INSTITUTION:         to be done later...\n",
-       "    PROVIDERS:           {&quot;name&quot;: &quot;Deltares Test&quot;, &quot;url&quot;: &quot;https://www.deltar...\n",
+       "    msl_l        (y, x) float64 nan nan nan nan nan nan ... nan nan nan nan nan\n",
+       "Attributes: (12/18)\n",
+       "    TITLE:               Mean Sea Level for CoCliCo Integrated Scenario High-end\n",
+       "    TITLE_ABBREVIATION:  msl_cis_high-end\n",
+       "    DESCRIPTION:         The Mean Sea Level for CoCliCo Integrated Scenario H...\n",
+       "    SHORT_DESCRIPTION:   The MSL_CIS_HIGH-END dataset provides AR6-based regi...\n",
+       "    INSTITUTION:         BRGM, French Geological Survey\n",
+       "    PROVIDERS:           {&quot;name&quot;: &quot;BRGM, French Geological Survey&quot;, &quot;url&quot;: &quot;w...\n",
        "    ...                  ...\n",
-       "    DOI:                 to be done later...\n",
-       "    LONG_NAME:           SLP\n",
+       "    TAGS:                [&#x27;mean sea level&#x27;, &#x27;sea level rise&#x27;, &#x27;IPCC AR6&#x27;]\n",
+       "    LONG_NAME:           MEAN_SEA_LEVEL\n",
        "    UNITS:               m\n",
-       "    COMMENT:             test is in the works\n",
+       "    COMMENT:             This dataset combines AR6 sea-level change projectio...\n",
        "    CRS:                 EPSG:4326\n",
-       "    Conventions:         CF-1.8</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-e5e7be41-23c0-4386-be96-fc44eb2b440c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e5e7be41-23c0-4386-be96-fc44eb2b440c' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>index</span>: 4</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-92b6aacd-1713-451d-9af6-a746cf5a5f71' class='xr-section-summary-in' type='checkbox'  checked><label for='section-92b6aacd-1713-451d-9af6-a746cf5a5f71' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>index</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3</div><input id='attrs-7229846c-38a1-4433-a00a-2f22f8ab5bcb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7229846c-38a1-4433-a00a-2f22f8ab5bcb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d74da612-1c1f-4a8e-bf34-4bea26a2995e' class='xr-var-data-in' type='checkbox'><label for='data-d74da612-1c1f-4a8e-bf34-4bea26a2995e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3], dtype=int64)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bfe0dfc4-d450-4fef-91fb-c615636fab03' class='xr-section-summary-in' type='checkbox'  checked><label for='section-bfe0dfc4-d450-4fef-91fb-c615636fab03' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>years</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2ddd36ee-b342-402d-b5a8-ee224c3449ec' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2ddd36ee-b342-402d-b5a8-ee224c3449ec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4cbbee3e-5814-491c-9238-472c2b56f74e' class='xr-var-data-in' type='checkbox'><label for='data-4cbbee3e-5814-491c-9238-472c2b56f74e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[4 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>low</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.07438 0.1807 0.5954 0.8804</div><input id='attrs-1ba619c9-f6a3-4d90-a297-02155ffacf60' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1ba619c9-f6a3-4d90-a297-02155ffacf60' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b11ac07f-3b40-4ec6-be3f-d2bbe6fddf1d' class='xr-var-data-in' type='checkbox'><label for='data-b11ac07f-3b40-4ec6-be3f-d2bbe6fddf1d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.074376, 0.180742, 0.595442, 0.880355])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>median</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1196 0.2641 0.9028 2.012</div><input id='attrs-da39a3e6-a6f2-4016-b88e-e609db40987b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-da39a3e6-a6f2-4016-b88e-e609db40987b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-97f16f5e-bd59-4937-9d00-2ea22dfeb092' class='xr-var-data-in' type='checkbox'><label for='data-97f16f5e-bd59-4937-9d00-2ea22dfeb092' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.11957 , 0.264076, 0.902841, 2.011607])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>high</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1777 0.4003 1.41 5.242</div><input id='attrs-820e1834-0963-4076-9f39-0e924be9541a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-820e1834-0963-4076-9f39-0e924be9541a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-312e1b1a-2bb9-4d48-8449-191bae53986f' class='xr-var-data-in' type='checkbox'><label for='data-312e1b1a-2bb9-4d48-8449-191bae53986f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.177721, 0.400281, 1.410083, 5.241695])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1d40790a-b2b6-48c7-86a0-de4c48c64777' class='xr-section-summary-in' type='checkbox'  ><label for='section-1d40790a-b2b6-48c7-86a0-de4c48c64777' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>index</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4baad990-07ea-4acb-ae6a-bf7cbefc9448' class='xr-index-data-in' type='checkbox'/><label for='index-4baad990-07ea-4acb-ae6a-bf7cbefc9448' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1, 2, 3], dtype=&#x27;int64&#x27;, name=&#x27;index&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e065b6bd-192f-4c08-b0a2-a0a447ad97e8' class='xr-section-summary-in' type='checkbox'  ><label for='section-e065b6bd-192f-4c08-b0a2-a0a447ad97e8' class='xr-section-summary' >Attributes: <span>(21)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>TITLE :</span></dt><dd>Sea level projections</dd><dt><span>TITLE_ABBREVIATION :</span></dt><dd>slp</dd><dt><span>DESCRIPTION :</span></dt><dd>to be done later...</dd><dt><span>SHORT_DESCRIPTION :</span></dt><dd>to be done later...</dd><dt><span>INSTITUTION :</span></dt><dd>to be done later...</dd><dt><span>PROVIDERS :</span></dt><dd>{&quot;name&quot;: &quot;Deltares Test&quot;, &quot;url&quot;: &quot;https://www.deltares.nl&quot;, &quot;roles&quot;: &quot;provider&quot;, &quot;description&quot;: &quot;to be done later...&quot;}</dd><dt><span>HISTORY :</span></dt><dd>[&#x27;Deltares&#x27;]</dd><dt><span>MEDIA_TYPE :</span></dt><dd>TEXT/CSV</dd><dt><span>SPATIAL_EXTENT :</span></dt><dd>[-180, -90, 180, 90]</dd><dt><span>TEMPORAL_EXTENT :</span></dt><dd>[&#x27;2150-01-01T00:00:00Z&#x27;]</dd><dt><span>LICENSE :</span></dt><dd>to be done later...</dd><dt><span>AUTHOR :</span></dt><dd>to be done later...</dd><dt><span>KEYWORDS :</span></dt><dd>[&#x27;climate change&#x27;, &#x27;extreme sea level&#x27;, &#x27;deltas&#x27;]</dd><dt><span>TAGS :</span></dt><dd>[&#x27;climate change&#x27;, &#x27;extreme sea level&#x27;, &#x27;deltas&#x27;]</dd><dt><span>CITATION :</span></dt><dd>to be done later...</dd><dt><span>DOI :</span></dt><dd>to be done later...</dd><dt><span>LONG_NAME :</span></dt><dd>SLP</dd><dt><span>UNITS :</span></dt><dd>m</dd><dt><span>COMMENT :</span></dt><dd>test is in the works</dd><dt><span>CRS :</span></dt><dd>EPSG:4326</dd><dt><span>Conventions :</span></dt><dd>CF-1.8</dd></dl></div></li></ul></div></div>"
+       "    Conventions:         CF-1.8</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-933023ca-ad2c-4c3d-81cb-0693caf61ec5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-933023ca-ad2c-4c3d-81cb-0693caf61ec5' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 360</li><li><span class='xr-has-index'>y</span>: 181</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-04999116-fea1-4c96-a6bd-471cc99af30e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-04999116-fea1-4c96-a6bd-471cc99af30e' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>2151-07-02 12:00:00</div><input id='attrs-71b7a4d4-d23b-4b1d-9323-1c6704e5c96b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-71b7a4d4-d23b-4b1d-9323-1c6704e5c96b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-609b19d9-7087-4c3d-8919-366c7e300c6c' class='xr-var-data-in' type='checkbox'><label for='data-609b19d9-7087-4c3d-8919-366c7e300c6c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array(cftime.DatetimeNoLeap(2151, 7, 2, 12, 0, 0, 0, has_year_zero=True),\n",
+       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-180.0 -179.0 ... 178.0 179.0</div><input id='attrs-4b6e6820-1bb6-4619-83ad-d8d9e2ee62ed' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4b6e6820-1bb6-4619-83ad-d8d9e2ee62ed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e8192289-018e-42e0-938d-f1395cd7b3a9' class='xr-var-data-in' type='checkbox'><label for='data-e8192289-018e-42e0-938d-f1395cd7b3a9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-180., -179., -178., ...,  177.,  178.,  179.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>90.0 89.0 88.0 ... -89.0 -90.0</div><input id='attrs-0d2d9753-26f6-4770-9326-20b03dfb8cfb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0d2d9753-26f6-4770-9326-20b03dfb8cfb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c618712f-aef8-46d3-9451-8455ff5e8e47' class='xr-var-data-in' type='checkbox'><label for='data-c618712f-aef8-46d3-9451-8455ff5e8e47' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 90.,  89.,  88.,  87.,  86.,  85.,  84.,  83.,  82.,  81.,  80.,  79.,\n",
+       "        78.,  77.,  76.,  75.,  74.,  73.,  72.,  71.,  70.,  69.,  68.,  67.,\n",
+       "        66.,  65.,  64.,  63.,  62.,  61.,  60.,  59.,  58.,  57.,  56.,  55.,\n",
+       "        54.,  53.,  52.,  51.,  50.,  49.,  48.,  47.,  46.,  45.,  44.,  43.,\n",
+       "        42.,  41.,  40.,  39.,  38.,  37.,  36.,  35.,  34.,  33.,  32.,  31.,\n",
+       "        30.,  29.,  28.,  27.,  26.,  25.,  24.,  23.,  22.,  21.,  20.,  19.,\n",
+       "        18.,  17.,  16.,  15.,  14.,  13.,  12.,  11.,  10.,   9.,   8.,   7.,\n",
+       "         6.,   5.,   4.,   3.,   2.,   1.,   0.,  -1.,  -2.,  -3.,  -4.,  -5.,\n",
+       "        -6.,  -7.,  -8.,  -9., -10., -11., -12., -13., -14., -15., -16., -17.,\n",
+       "       -18., -19., -20., -21., -22., -23., -24., -25., -26., -27., -28., -29.,\n",
+       "       -30., -31., -32., -33., -34., -35., -36., -37., -38., -39., -40., -41.,\n",
+       "       -42., -43., -44., -45., -46., -47., -48., -49., -50., -51., -52., -53.,\n",
+       "       -54., -55., -56., -57., -58., -59., -60., -61., -62., -63., -64., -65.,\n",
+       "       -66., -67., -68., -69., -70., -71., -72., -73., -74., -75., -76., -77.,\n",
+       "       -78., -79., -80., -81., -82., -83., -84., -85., -86., -87., -88., -89.,\n",
+       "       -90.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-fbb4cb5a-26b3-4a2f-8de6-80e64d1e5798' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fbb4cb5a-26b3-4a2f-8de6-80e64d1e5798' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9701151a-749e-4cba-8b58-00d76fb34553' class='xr-var-data-in' type='checkbox'><label for='data-9701151a-749e-4cba-8b58-00d76fb34553' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314245179</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>WGS 84</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>WGS 84</dd><dt><span>horizontal_datum_name :</span></dt><dd>World Geodetic System 1984</dd><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>spatial_ref :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd><dt><span>GeoTransform :</span></dt><dd>-180.5 1.0 0.0 90.5 0.0 -1.0</dd></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a3c455b8-5a99-4929-aed5-fc6f3ceb4a65' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a3c455b8-5a99-4929-aed5-fc6f3ceb4a65' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>msl_l</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-1f225aac-6f6b-4082-a216-f8958993456b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f225aac-6f6b-4082-a216-f8958993456b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-031845a2-d0c4-42b2-8af3-ce91f9bd205b' class='xr-var-data-in' type='checkbox'><label for='data-031845a2-d0c4-42b2-8af3-ce91f9bd205b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>lat#axis :</span></dt><dd>Y</dd><dt><span>lat#long_name :</span></dt><dd>Latitude</dd><dt><span>lat#standard_name :</span></dt><dd>latitude</dd><dt><span>lat#units :</span></dt><dd>degrees_north</dd><dt><span>lon#axis :</span></dt><dd>X</dd><dt><span>lon#long_name :</span></dt><dd>Longitude</dd><dt><span>lon#standard_name :</span></dt><dd>longitude</dd><dt><span>lon#units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>mean_sea_level_lowerbound</dd><dt><span>units :</span></dt><dd>(&#x27;m&#x27;, &#x27;m&#x27;, &#x27;m&#x27;, &#x27;m&#x27;, &#x27;m&#x27;, &#x27;m&#x27;, &#x27;m&#x27;, &#x27;m&#x27;, &#x27;m&#x27;, &#x27;m&#x27;, &#x27;m&#x27;, &#x27;m&#x27;, &#x27;m&#x27;)</dd><dt><span>_FillValue :</span></dt><dd>-9999.0</dd><dt><span>scale_factor :</span></dt><dd>1.0</dd><dt><span>add_offset :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>array([[       nan,        nan,        nan, ...,        nan,        nan,\n",
+       "               nan],\n",
+       "       [0.12307829, 0.12244043, 0.1208099 , ..., 0.12503786, 0.12337828,\n",
+       "        0.12372359],\n",
+       "       [0.14463124, 0.14231353, 0.14001286, ..., 0.14869189, 0.1473202 ,\n",
+       "        0.14596775],\n",
+       "       ...,\n",
+       "       [       nan,        nan,        nan, ...,        nan,        nan,\n",
+       "               nan],\n",
+       "       [       nan,        nan,        nan, ...,        nan,        nan,\n",
+       "               nan],\n",
+       "       [       nan,        nan,        nan, ...,        nan,        nan,\n",
+       "               nan]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-64df485a-f04a-4a7c-987c-8d464768c71b' class='xr-section-summary-in' type='checkbox'  ><label for='section-64df485a-f04a-4a7c-987c-8d464768c71b' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6fe1efdd-6575-45ca-8c9b-2576049f4bf4' class='xr-index-data-in' type='checkbox'/><label for='index-6fe1efdd-6575-45ca-8c9b-2576049f4bf4' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-180.0, -179.0, -178.0, -177.0, -176.0, -175.0, -174.0, -173.0, -172.0,\n",
+       "       -171.0,\n",
+       "       ...\n",
+       "        170.0,  171.0,  172.0,  173.0,  174.0,  175.0,  176.0,  177.0,  178.0,\n",
+       "        179.0],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=360))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e661e61a-8c12-4416-851d-187fafc0c84a' class='xr-index-data-in' type='checkbox'/><label for='index-e661e61a-8c12-4416-851d-187fafc0c84a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 90.0,  89.0,  88.0,  87.0,  86.0,  85.0,  84.0,  83.0,  82.0,  81.0,\n",
+       "       ...\n",
+       "       -81.0, -82.0, -83.0, -84.0, -85.0, -86.0, -87.0, -88.0, -89.0, -90.0],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;, length=181))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-32ffa240-c402-4fa7-8aee-e5815ea8fcd8' class='xr-section-summary-in' type='checkbox'  ><label for='section-32ffa240-c402-4fa7-8aee-e5815ea8fcd8' class='xr-section-summary' >Attributes: <span>(18)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>TITLE :</span></dt><dd>Mean Sea Level for CoCliCo Integrated Scenario High-end</dd><dt><span>TITLE_ABBREVIATION :</span></dt><dd>msl_cis_high-end</dd><dt><span>DESCRIPTION :</span></dt><dd>The Mean Sea Level for CoCliCo Integrated Scenario High-end dataset provides regional mean sea level projections in 2030, 2040, 2050, 2060, 2070, 2080, 2090, 2100, 2110, 2120, 2130, 2140 and 2150 following the High-end scenario and constitutes one of the Integrated Scenario defined by the H2020-CoCliCo&#x27;s consortium. This dataset reproduces the AR6 regional mean sea level projections, but instead of using AR6 vertical land motion, it includes the GIA model from Caron et al. (2018).</dd><dt><span>SHORT_DESCRIPTION :</span></dt><dd>The MSL_CIS_HIGH-END dataset provides AR6-based regional mean sea level projections following the High-end in 2030, 2040, 2050, 2060, 2070, 2080, 2090, 2100, 2110, 2120, 2130, 2140 and 2150 with respect to the baseline period 1995-2014 at a resolution of 1° x 1°.</dd><dt><span>INSTITUTION :</span></dt><dd>BRGM, French Geological Survey</dd><dt><span>PROVIDERS :</span></dt><dd>{&quot;name&quot;: &quot;BRGM, French Geological Survey&quot;, &quot;url&quot;: &quot;www.brgm.fr&quot;, &quot;roles&quot;: &quot;provider&quot;, &quot;description&quot;: &quot;BRGM, the French geological survey, is France\\u2019s leading public institution for Earth Science applications for the management of surface and sub-surface resources with a view to sustainable development. Under partnerships with numerous public and private stakeholders, BRGM focuses on scientific research, expertise and innovation. Its activity meets 4 objectives: understanding geological phenomena and related risks, developing new techniques and methodologies, producing and distributing data for surface, subsurface and resource management, providing the tools required to manage the surface, subsurface and resources, prevent risks and pollution, and manage policies in response to climate change.&quot;}</dd><dt><span>HISTORY :</span></dt><dd>Created 2023-06-09T15:24:23Z</dd><dt><span>MEDIA_TYPE :</span></dt><dd>IMAGE/TIFF</dd><dt><span>SPATIAL_EXTENT :</span></dt><dd>[-180, -90, 180, 90]</dd><dt><span>TEMPORAL_EXTENT :</span></dt><dd>2150-07-01T00:00:00Z</dd><dt><span>LICENSE :</span></dt><dd>Creative Commons Attribution 4.0 International</dd><dt><span>KEYWORDS :</span></dt><dd>[&#x27;mean sea level&#x27;, &#x27;sea level rise&#x27;, &#x27;IPCC AR6&#x27;]</dd><dt><span>TAGS :</span></dt><dd>[&#x27;mean sea level&#x27;, &#x27;sea level rise&#x27;, &#x27;IPCC AR6&#x27;]</dd><dt><span>LONG_NAME :</span></dt><dd>MEAN_SEA_LEVEL</dd><dt><span>UNITS :</span></dt><dd>m</dd><dt><span>COMMENT :</span></dt><dd>This dataset combines AR6 sea-level change projections with subtracted vertical land motion  (https://zenodo.org/record/6382554#.ZCcIRvbP1PY), GIA from GIA model statistics Caron et al. (2018) (https://doi.org/10.1002/2017GL076644) and the corresponding gridded GIA dataset is from Frederikse et al. (2019) (https://doi.org/10.5194/se-10-1971-2019). Mean sea level projections are provided with respect to the baseline period 1995-2014 at a resolution of 1° x 1° and for the 16.7, 50 and 83.3 percentiles called, respectively, lower bound, median and upper bound.</dd><dt><span>CRS :</span></dt><dd>EPSG:4326</dd><dt><span>Conventions :</span></dt><dd>CF-1.8</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset>\n",
-       "Dimensions:  (index: 4)\n",
+       "Dimensions:      (x: 360, y: 181)\n",
        "Coordinates:\n",
-       "  * index    (index) int64 0 1 2 3\n",
+       "    time         object 2151-07-02 12:00:00\n",
+       "  * x            (x) float64 -180.0 -179.0 -178.0 -177.0 ... 177.0 178.0 179.0\n",
+       "  * y            (y) float64 90.0 89.0 88.0 87.0 ... -87.0 -88.0 -89.0 -90.0\n",
+       "    spatial_ref  int32 0\n",
        "Data variables:\n",
-       "    years    (index) int64 ...\n",
-       "    low      (index) float64 0.07438 0.1807 0.5954 0.8804\n",
-       "    median   (index) float64 0.1196 0.2641 0.9028 2.012\n",
-       "    high     (index) float64 0.1777 0.4003 1.41 5.242\n",
-       "Attributes: (12/21)\n",
-       "    TITLE:               Sea level projections\n",
-       "    TITLE_ABBREVIATION:  slp\n",
-       "    DESCRIPTION:         to be done later...\n",
-       "    SHORT_DESCRIPTION:   to be done later...\n",
-       "    INSTITUTION:         to be done later...\n",
-       "    PROVIDERS:           {\"name\": \"Deltares Test\", \"url\": \"https://www.deltar...\n",
+       "    msl_l        (y, x) float64 nan nan nan nan nan nan ... nan nan nan nan nan\n",
+       "Attributes: (12/18)\n",
+       "    TITLE:               Mean Sea Level for CoCliCo Integrated Scenario High-end\n",
+       "    TITLE_ABBREVIATION:  msl_cis_high-end\n",
+       "    DESCRIPTION:         The Mean Sea Level for CoCliCo Integrated Scenario H...\n",
+       "    SHORT_DESCRIPTION:   The MSL_CIS_HIGH-END dataset provides AR6-based regi...\n",
+       "    INSTITUTION:         BRGM, French Geological Survey\n",
+       "    PROVIDERS:           {\"name\": \"BRGM, French Geological Survey\", \"url\": \"w...\n",
        "    ...                  ...\n",
-       "    DOI:                 to be done later...\n",
-       "    LONG_NAME:           SLP\n",
+       "    TAGS:                ['mean sea level', 'sea level rise', 'IPCC AR6']\n",
+       "    LONG_NAME:           MEAN_SEA_LEVEL\n",
        "    UNITS:               m\n",
-       "    COMMENT:             test is in the works\n",
+       "    COMMENT:             This dataset combines AR6 sea-level change projectio...\n",
        "    CRS:                 EPSG:4326\n",
        "    Conventions:         CF-1.8"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "application/javascript": "\n            setTimeout(function() {\n                var nbb_cell_id = 9;\n                var nbb_unformatted_code = \"dad\";\n                var nbb_formatted_code = \"dad\";\n                var nbb_cells = Jupyter.notebook.get_cells();\n                for (var i = 0; i < nbb_cells.length; ++i) {\n                    if (nbb_cells[i].input_prompt_number == nbb_cell_id) {\n                        if (nbb_cells[i].get_text() == nbb_unformatted_code) {\n                             nbb_cells[i].set_text(nbb_formatted_code);\n                        }\n                        break;\n                    }\n                }\n            }, 500);\n            ",
+      "text/plain": [
+       "<IPython.core.display.Javascript object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "dad"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Hopefully data is the same\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 4 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/javascript": "\n            setTimeout(function() {\n                var nbb_cell_id = 10;\n                var nbb_unformatted_code = \"fig, axs = plt.subplots(2,1)\\n# Plot original data\\nslp_test.isel(time = 1)['msl_h'].plot.pcolormesh(ax=axs[0])\\n\\n# Plot newly created data\\nslp_check = rio.open_rasterio(r\\\"p:\\\\11207608-coclico\\\\FULLTRACK_DATA\\\\WP3\\\\cog\\\\2041\\\\msl_h.tif\\\")\\nslp_check.plot(ax=axs[1])\\nprint('Hopefully data is the same')\";\n                var nbb_formatted_code = \"fig, axs = plt.subplots(2, 1)\\n# Plot original data\\nslp_test.isel(time=1)[\\\"msl_h\\\"].plot.pcolormesh(ax=axs[0])\\n\\n# Plot newly created data\\nslp_check = rio.open_rasterio(\\n    r\\\"p:\\\\11207608-coclico\\\\FULLTRACK_DATA\\\\WP3\\\\cog\\\\2041\\\\msl_h.tif\\\"\\n)\\nslp_check.plot(ax=axs[1])\\nprint(\\\"Hopefully data is the same\\\")\";\n                var nbb_cells = Jupyter.notebook.get_cells();\n                for (var i = 0; i < nbb_cells.length; ++i) {\n                    if (nbb_cells[i].input_prompt_number == nbb_cell_id) {\n                        if (nbb_cells[i].get_text() == nbb_unformatted_code) {\n                             nbb_cells[i].set_text(nbb_formatted_code);\n                        }\n                        break;\n                    }\n                }\n            }, 500);\n            ",
+      "text/plain": [
+       "<IPython.core.display.Javascript object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
-    "ds_list[0]"
+    "fig, axs = plt.subplots(2,1)\n",
+    "# Plot original data\n",
+    "slp_test.isel(time = 1)['msl_h'].plot.pcolormesh(ax=axs[0])\n",
+    "\n",
+    "# Plot newly created data\n",
+    "slp_check = rio.open_rasterio(r\"p:\\11207608-coclico\\FULLTRACK_DATA\\WP3\\cog\\2041\\msl_h.tif\")\n",
+    "slp_check.plot(ax=axs[1])\n",
+    "print('Hopefully data is the same')"
    ]
   },
   {
@@ -1075,3404 +1280,75 @@
    "outputs": [
     {
      "data": {
-      "text/html": [
-       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
-       "<defs>\n",
-       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
-       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
-       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
-       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
-       "</symbol>\n",
-       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
-       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
-       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
-       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
-       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
-       "</symbol>\n",
-       "</defs>\n",
-       "</svg>\n",
-       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
-       " *\n",
-       " */\n",
-       "\n",
-       ":root {\n",
-       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
-       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
-       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
-       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
-       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
-       "  --xr-background-color: var(--jp-layout-color0, white);\n",
-       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
-       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
-       "}\n",
-       "\n",
-       "html[theme=dark],\n",
-       "body[data-theme=dark],\n",
-       "body.vscode-dark {\n",
-       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
-       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
-       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
-       "  --xr-border-color: #1F1F1F;\n",
-       "  --xr-disabled-color: #515151;\n",
-       "  --xr-background-color: #111111;\n",
-       "  --xr-background-color-row-even: #111111;\n",
-       "  --xr-background-color-row-odd: #313131;\n",
-       "}\n",
-       "\n",
-       ".xr-wrap {\n",
-       "  display: block !important;\n",
-       "  min-width: 300px;\n",
-       "  max-width: 700px;\n",
-       "}\n",
-       "\n",
-       ".xr-text-repr-fallback {\n",
-       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-header {\n",
-       "  padding-top: 6px;\n",
-       "  padding-bottom: 6px;\n",
-       "  margin-bottom: 4px;\n",
-       "  border-bottom: solid 1px var(--xr-border-color);\n",
-       "}\n",
-       "\n",
-       ".xr-header > div,\n",
-       ".xr-header > ul {\n",
-       "  display: inline;\n",
-       "  margin-top: 0;\n",
-       "  margin-bottom: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-obj-type,\n",
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-       "\n",
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-       "\n",
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-       "\n",
-       ".xr-icon-database,\n",
-       ".xr-icon-file-text2,\n",
-       ".xr-no-icon {\n",
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-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
-       "Dimensions:   (time: 4, nensemble: 3)\n",
-       "Coordinates:\n",
-       "  * time      (time) int64 2030 2050 2100 2150\n",
-       "    ensemble  (nensemble) |S6 b&#x27;low&#x27; b&#x27;median&#x27; b&#x27;high&#x27;\n",
-       "Dimensions without coordinates: nensemble\n",
-       "Data variables:\n",
-       "    slr       (nensemble, time) float64 0.07438 0.1807 0.5954 ... 1.41 5.242\n",
-       "Attributes: (12/21)\n",
-       "    TITLE:               Sea level projections\n",
-       "    TITLE_ABBREVIATION:  slp\n",
-       "    DESCRIPTION:         to be done later...\n",
-       "    SHORT_DESCRIPTION:   to be done later...\n",
-       "    INSTITUTION:         to be done later...\n",
-       "    PROVIDERS:           {&quot;name&quot;: &quot;Deltares Test&quot;, &quot;url&quot;: &quot;https://www.deltar...\n",
-       "    ...                  ...\n",
-       "    DOI:                 to be done later...\n",
-       "    LONG_NAME:           SLP\n",
-       "    UNITS:               m\n",
-       "    COMMENT:             test is in the works\n",
-       "    CRS:                 EPSG:4326\n",
-       "    Conventions:         CF-1.8</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-9094320e-8d27-48c6-96dd-6fdfeac68813' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9094320e-8d27-48c6-96dd-6fdfeac68813' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 4</li><li><span>nensemble</span>: 3</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-605956c5-1cde-48a2-be9c-12a569c81e47' class='xr-section-summary-in' type='checkbox'  checked><label for='section-605956c5-1cde-48a2-be9c-12a569c81e47' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>2030 2050 2100 2150</div><input id='attrs-c49630ff-d0a2-4004-b099-9353e959d2d4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c49630ff-d0a2-4004-b099-9353e959d2d4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a390fb6-f1da-4bcf-95e8-78a3f37379e8' class='xr-var-data-in' type='checkbox'><label for='data-3a390fb6-f1da-4bcf-95e8-78a3f37379e8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time projections</dd><dt><span>units :</span></dt><dd>yr</dd></dl></div><div class='xr-var-data'><pre>array([2030, 2050, 2100, 2150], dtype=int64)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ensemble</span></div><div class='xr-var-dims'>(nensemble)</div><div class='xr-var-dtype'>|S6</div><div class='xr-var-preview xr-preview'>b&#x27;low&#x27; b&#x27;median&#x27; b&#x27;high&#x27;</div><input id='attrs-e0c0c751-0bd4-4505-a0b3-0f49d9627424' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e0c0c751-0bd4-4505-a0b3-0f49d9627424' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-845bd678-0990-43b4-b33e-c66567d544af' class='xr-var-data-in' type='checkbox'><label for='data-845bd678-0990-43b4-b33e-c66567d544af' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ensemble</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;low&#x27;, b&#x27;median&#x27;, b&#x27;high&#x27;], dtype=&#x27;|S6&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8a9dc94f-364f-4fb5-8aeb-99cdd2caa18f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8a9dc94f-364f-4fb5-8aeb-99cdd2caa18f' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>slr</span></div><div class='xr-var-dims'>(nensemble, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.07438 0.1807 ... 1.41 5.242</div><input id='attrs-fb3ab4bc-6316-4a43-a0dd-7ed829b2c824' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fb3ab4bc-6316-4a43-a0dd-7ed829b2c824' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a5149ef3-80ea-4014-959e-831d274c07f7' class='xr-var-data-in' type='checkbox'><label for='data-a5149ef3-80ea-4014-959e-831d274c07f7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea level projections</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([[0.07437646, 0.18074177, 0.5954425 , 0.88035513],\n",
-       "       [0.11957024, 0.26407631, 0.90284148, 2.01160665],\n",
-       "       [0.17772071, 0.40028073, 1.41008318, 5.24169474]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1c41c542-8d87-427c-b5b0-49dfb9ccf498' class='xr-section-summary-in' type='checkbox'  ><label for='section-1c41c542-8d87-427c-b5b0-49dfb9ccf498' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-935f0d37-bf79-4c05-afe1-0110dce94437' class='xr-index-data-in' type='checkbox'/><label for='index-935f0d37-bf79-4c05-afe1-0110dce94437' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([2030, 2050, 2100, 2150], dtype=&#x27;int64&#x27;, name=&#x27;time&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5be9bfa8-0dba-4ce4-91db-fd812d324d52' class='xr-section-summary-in' type='checkbox'  ><label for='section-5be9bfa8-0dba-4ce4-91db-fd812d324d52' class='xr-section-summary' >Attributes: <span>(21)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>TITLE :</span></dt><dd>Sea level projections</dd><dt><span>TITLE_ABBREVIATION :</span></dt><dd>slp</dd><dt><span>DESCRIPTION :</span></dt><dd>to be done later...</dd><dt><span>SHORT_DESCRIPTION :</span></dt><dd>to be done later...</dd><dt><span>INSTITUTION :</span></dt><dd>to be done later...</dd><dt><span>PROVIDERS :</span></dt><dd>{&quot;name&quot;: &quot;Deltares Test&quot;, &quot;url&quot;: &quot;https://www.deltares.nl&quot;, &quot;roles&quot;: &quot;provider&quot;, &quot;description&quot;: &quot;to be done later...&quot;}</dd><dt><span>HISTORY :</span></dt><dd>[&#x27;Deltares&#x27;]</dd><dt><span>MEDIA_TYPE :</span></dt><dd>TEXT/CSV</dd><dt><span>SPATIAL_EXTENT :</span></dt><dd>[-180, -90, 180, 90]</dd><dt><span>TEMPORAL_EXTENT :</span></dt><dd>[&#x27;2150-01-01T00:00:00Z&#x27;]</dd><dt><span>LICENSE :</span></dt><dd>to be done later...</dd><dt><span>AUTHOR :</span></dt><dd>to be done later...</dd><dt><span>KEYWORDS :</span></dt><dd>[&#x27;climate change&#x27;, &#x27;extreme sea level&#x27;, &#x27;deltas&#x27;]</dd><dt><span>TAGS :</span></dt><dd>[&#x27;climate change&#x27;, &#x27;extreme sea level&#x27;, &#x27;deltas&#x27;]</dd><dt><span>CITATION :</span></dt><dd>to be done later...</dd><dt><span>DOI :</span></dt><dd>to be done later...</dd><dt><span>LONG_NAME :</span></dt><dd>SLP</dd><dt><span>UNITS :</span></dt><dd>m</dd><dt><span>COMMENT :</span></dt><dd>test is in the works</dd><dt><span>CRS :</span></dt><dd>EPSG:4326</dd><dt><span>Conventions :</span></dt><dd>CF-1.8</dd></dl></div></li></ul></div></div>"
-      ],
-      "text/plain": [
-       "<xarray.Dataset>\n",
-       "Dimensions:   (time: 4, nensemble: 3)\n",
-       "Coordinates:\n",
-       "  * time      (time) int64 2030 2050 2100 2150\n",
-       "    ensemble  (nensemble) |S6 b'low' b'median' b'high'\n",
-       "Dimensions without coordinates: nensemble\n",
-       "Data variables:\n",
-       "    slr       (nensemble, time) float64 0.07438 0.1807 0.5954 ... 1.41 5.242\n",
-       "Attributes: (12/21)\n",
-       "    TITLE:               Sea level projections\n",
-       "    TITLE_ABBREVIATION:  slp\n",
-       "    DESCRIPTION:         to be done later...\n",
-       "    SHORT_DESCRIPTION:   to be done later...\n",
-       "    INSTITUTION:         to be done later...\n",
-       "    PROVIDERS:           {\"name\": \"Deltares Test\", \"url\": \"https://www.deltar...\n",
-       "    ...                  ...\n",
-       "    DOI:                 to be done later...\n",
-       "    LONG_NAME:           SLP\n",
-       "    UNITS:               m\n",
-       "    COMMENT:             test is in the works\n",
-       "    CRS:                 EPSG:4326\n",
-       "    Conventions:         CF-1.8"
-      ]
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-     "execution_count": 11,
-     "metadata": {},
-     "output_type": "execute_result"
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-    "ds_list_CF[0]"
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-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;slr&#x27; (nensemble: 3, time: 4)&gt;\n",
-       "array([[0.07437646, 0.18074177, 0.5954425 , 0.88035513],\n",
-       "       [0.11957024, 0.26407631, 0.90284148, 2.01160665],\n",
-       "       [0.17772071, 0.40028073, 1.41008318, 5.24169474]])\n",
-       "Coordinates:\n",
-       "  * time      (time) int64 2030 2050 2100 2150\n",
-       "    ensemble  (nensemble) |S6 b&#x27;low&#x27; b&#x27;median&#x27; b&#x27;high&#x27;\n",
-       "Dimensions without coordinates: nensemble\n",
-       "Attributes:\n",
-       "    long_name:  sea level projections\n",
-       "    units:      m</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'slr'</div><ul class='xr-dim-list'><li><span>nensemble</span>: 3</li><li><span class='xr-has-index'>time</span>: 4</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-29099407-9317-47a6-af5b-4b5572f8325a' class='xr-array-in' type='checkbox' checked><label for='section-29099407-9317-47a6-af5b-4b5572f8325a' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.07438 0.1807 0.5954 0.8804 0.1196 ... 2.012 0.1777 0.4003 1.41 5.242</span></div><div class='xr-array-data'><pre>array([[0.07437646, 0.18074177, 0.5954425 , 0.88035513],\n",
-       "       [0.11957024, 0.26407631, 0.90284148, 2.01160665],\n",
-       "       [0.17772071, 0.40028073, 1.41008318, 5.24169474]])</pre></div></div></li><li class='xr-section-item'><input id='section-acec8504-6bdf-44b4-95b9-6b7d747a5455' class='xr-section-summary-in' type='checkbox'  checked><label for='section-acec8504-6bdf-44b4-95b9-6b7d747a5455' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>2030 2050 2100 2150</div><input id='attrs-368cec98-7253-488b-8c5f-427a794976d2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-368cec98-7253-488b-8c5f-427a794976d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-761313f0-85e6-447f-86ac-63cf0f0e1078' class='xr-var-data-in' type='checkbox'><label for='data-761313f0-85e6-447f-86ac-63cf0f0e1078' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time projections</dd><dt><span>units :</span></dt><dd>yr</dd></dl></div><div class='xr-var-data'><pre>array([2030, 2050, 2100, 2150], dtype=int64)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ensemble</span></div><div class='xr-var-dims'>(nensemble)</div><div class='xr-var-dtype'>|S6</div><div class='xr-var-preview xr-preview'>b&#x27;low&#x27; b&#x27;median&#x27; b&#x27;high&#x27;</div><input id='attrs-4a59e712-8bce-4896-b757-25102a7a3927' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4a59e712-8bce-4896-b757-25102a7a3927' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ef79226-9fc1-499a-b089-60f0d1353af8' class='xr-var-data-in' type='checkbox'><label for='data-2ef79226-9fc1-499a-b089-60f0d1353af8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ensemble</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;low&#x27;, b&#x27;median&#x27;, b&#x27;high&#x27;], dtype=&#x27;|S6&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c8251672-f25e-48d3-9676-501e525ab6a7' class='xr-section-summary-in' type='checkbox'  ><label for='section-c8251672-f25e-48d3-9676-501e525ab6a7' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e7d6eb1d-4c9f-429c-bfe6-37d704b9ed2e' class='xr-index-data-in' type='checkbox'/><label for='index-e7d6eb1d-4c9f-429c-bfe6-37d704b9ed2e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([2030, 2050, 2100, 2150], dtype=&#x27;int64&#x27;, name=&#x27;time&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-53f50bf5-7e9f-4590-a735-bf1aad6eb32d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-53f50bf5-7e9f-4590-a735-bf1aad6eb32d' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea level projections</dd><dt><span>units :</span></dt><dd>m</dd></dl></div></li></ul></div></div>"
-      ],
-      "text/plain": [
-       "<xarray.DataArray 'slr' (nensemble: 3, time: 4)>\n",
-       "array([[0.07437646, 0.18074177, 0.5954425 , 0.88035513],\n",
-       "       [0.11957024, 0.26407631, 0.90284148, 2.01160665],\n",
-       "       [0.17772071, 0.40028073, 1.41008318, 5.24169474]])\n",
-       "Coordinates:\n",
-       "  * time      (time) int64 2030 2050 2100 2150\n",
-       "    ensemble  (nensemble) |S6 b'low' b'median' b'high'\n",
-       "Dimensions without coordinates: nensemble\n",
-       "Attributes:\n",
-       "    long_name:  sea level projections\n",
-       "    units:      m"
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-     "execution_count": 12,
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-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;slr&#x27; (nensemble: 3)&gt;\n",
-       "array([0.18074177, 0.26407631, 0.40028073])\n",
-       "Coordinates:\n",
-       "    time      int64 2050\n",
-       "    ensemble  (nensemble) |S6 b&#x27;low&#x27; b&#x27;median&#x27; b&#x27;high&#x27;\n",
-       "Dimensions without coordinates: nensemble\n",
-       "Attributes:\n",
-       "    long_name:  sea level projections\n",
-       "    units:      m</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'slr'</div><ul class='xr-dim-list'><li><span>nensemble</span>: 3</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-8bf3b208-3cfd-44db-8dc1-56341b9b0446' class='xr-array-in' type='checkbox' checked><label for='section-8bf3b208-3cfd-44db-8dc1-56341b9b0446' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.1807 0.2641 0.4003</span></div><div class='xr-array-data'><pre>array([0.18074177, 0.26407631, 0.40028073])</pre></div></div></li><li class='xr-section-item'><input id='section-492cdc42-1560-4e64-9da7-444cae33c56f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-492cdc42-1560-4e64-9da7-444cae33c56f' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>2050</div><input id='attrs-8c8d7868-8f1e-46bf-b893-aa030075e2f3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8c8d7868-8f1e-46bf-b893-aa030075e2f3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aaccfc83-8642-4777-b051-691720869ddf' class='xr-var-data-in' type='checkbox'><label for='data-aaccfc83-8642-4777-b051-691720869ddf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time projections</dd><dt><span>units :</span></dt><dd>yr</dd></dl></div><div class='xr-var-data'><pre>array(2050, dtype=int64)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ensemble</span></div><div class='xr-var-dims'>(nensemble)</div><div class='xr-var-dtype'>|S6</div><div class='xr-var-preview xr-preview'>b&#x27;low&#x27; b&#x27;median&#x27; b&#x27;high&#x27;</div><input id='attrs-ae457e5a-1dfc-468e-a87d-3e41b107c30b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ae457e5a-1dfc-468e-a87d-3e41b107c30b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3102d94e-4fe6-4b05-93cf-92f5aba0f7ac' class='xr-var-data-in' type='checkbox'><label for='data-3102d94e-4fe6-4b05-93cf-92f5aba0f7ac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ensemble</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;low&#x27;, b&#x27;median&#x27;, b&#x27;high&#x27;], dtype=&#x27;|S6&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e24617e3-0b71-4c70-a88c-e0f066d3d6ae' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e24617e3-0b71-4c70-a88c-e0f066d3d6ae' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-b99f5c65-3a76-48b1-b08b-ff19c1df67e5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b99f5c65-3a76-48b1-b08b-ff19c1df67e5' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea level projections</dd><dt><span>units :</span></dt><dd>m</dd></dl></div></li></ul></div></div>"
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-       "<xarray.DataArray 'slr' (nensemble: 3)>\n",
-       "array([0.18074177, 0.26407631, 0.40028073])\n",
-       "Coordinates:\n",
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-       "Dimensions without coordinates: nensemble\n",
-       "Attributes:\n",
-       "    long_name:  sea level projections\n",
-       "    units:      m"
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-     "execution_count": 13,
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-  {
-   "cell_type": "code",
-   "execution_count": 14,
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-     "text": [
-      "MSL_Genova_high_end_CF.nc\n",
-      "MSL_Genova_ssp126_CF.nc\n",
-      "MSL_Genova_ssp245_CF.nc\n",
-      "MSL_Genova_ssp585_CF.nc\n",
-      "MSL_LaRochelle_high_end_CF.nc\n",
-      "MSL_LaRochelle_ssp126_CF.nc\n",
-      "MSL_LaRochelle_ssp245_CF.nc\n",
-      "MSL_LaRochelle_ssp585_CF.nc\n",
-      "MSL_SanSebastian_high_end_CF.nc\n",
-      "MSL_SanSebastian_ssp126_CF.nc\n",
-      "MSL_SanSebastian_ssp245_CF.nc\n",
-      "MSL_SanSebastian_ssp585_CF.nc\n",
-      "MSL_Valencia_high_end_CF.nc\n",
-      "MSL_Valencia_ssp126_CF.nc\n",
-      "MSL_Valencia_ssp245_CF.nc\n",
-      "MSL_Valencia_ssp585_CF.nc\n"
-     ]
-    }
-   ],
-   "source": [
-    "# List all files that end with '_CF.nc'\n",
-    "CF_files = [f for f in os.listdir(dataset_dir) if f.endswith('_CF.nc') and f.startswith(\"MSL\")]\n",
-    "\n",
-    "# Extract unique locations and climate projection scenario's (ssps)\n",
-    "locs = list(np.unique([f.split('_')[1] for f in CF_files]))\n",
-    "ssps = list(np.unique([f.split('_')[2] for f in CF_files]))\n",
-    "\n",
-    "ds_list_CF_merge1 = []\n",
-    "for loc in locs:\n",
-    "    ds_ls = []\n",
-    "    for ds, CF_file in zip(ds_list_CF, CF_files):\n",
-    "        if loc in CF_file:\n",
-    "            print(CF_file)\n",
-    "            ds_ls.append(ds)\n",
-    "    ds_list_CF_merge1.append(ds_ls)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ds_list_CF_merge2 = []\n",
-    "for ds_lists, loc in zip(ds_list_CF_merge1, locs):\n",
-    "    ds = xr.concat(ds_lists, dim='nscenarios')\n",
-    "    ds = ds.assign(scenarios=([\"nscenarios\"], np.array(ssps, dtype=\"S\")))\n",
-    "    ds = ds.set_coords(\"scenarios\")\n",
-    "    \n",
-    "    # add or change certain variable / coordinate attributes\n",
-    "    dataset_attributes = {\"scenarios\": {\"long_name\": \"shared socioeconomic pathways\", \"units\": \"1\"} # set to 1 if no unit\n",
-    "        }  # specify custom (CF convention) attributes\n",
-    "    \n",
-    "    # add / overwrite attributes\n",
-    "    for k, v in dataset_attributes.items():\n",
-    "        try:\n",
-    "                ds[k].attrs = dataset_attributes[k]\n",
-    "        except:\n",
-    "                continue\n",
-    "    \n",
-    "    ds_list_CF_merge2.append(ds)\n",
-    "\n",
-    "# merge areas\n",
-    "ds_CF_merge = xr.concat(ds_list_CF_merge2, dim=\"nstations\")\n",
-    "ds_CF_merge = ds_CF_merge.assign(stations=([\"nstations\"], np.array(locs, dtype=\"S\")))\n",
-    "ds_CF_merge = ds_CF_merge.set_coords(\"stations\")\n",
-    "\n",
-    "# Add coordinates of location (lat,lon)\n",
-    "lat = [44, 46, 43.5, 39.5]\n",
-    "lon = [9, -1.5, -2, 0]\n",
-    "\n",
-    "ds_CF_merge = ds_CF_merge.assign_coords(lat=(\"nstations\",lat))\n",
-    "ds_CF_merge = ds_CF_merge.assign_coords(lon=(\"nstations\",lon))\n",
-    "\n",
-    "dataset_attributes = {\"stations\": {\"long_name\": \"stations\", \"units\": \"1\"},\n",
-    "                      \"lat\": {\"standard_name\": \"latitude\", \"units\": \"degrees_north\"},\n",
-    "                      \"lon\": {\"standard_name\": \"longitude\", \"units\": \"degrees_east\"} \n",
-    "        }  # specify custom (CF convention) attributes\n",
-    "\n",
-    "for k, v in dataset_attributes.items():\n",
-    "        try:\n",
-    "                ds_CF_merge[k].attrs = dataset_attributes[k]\n",
-    "        except:\n",
-    "                continue"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {},
-   "outputs": [
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-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
-       "Dimensions:    (time: 4, nensemble: 3, nstations: 4, nscenarios: 4)\n",
-       "Coordinates:\n",
-       "  * time       (time) int64 2030 2050 2100 2150\n",
-       "    ensemble   (nensemble) |S6 b&#x27;low&#x27; b&#x27;median&#x27; b&#x27;high&#x27;\n",
-       "    scenarios  (nscenarios) |S6 b&#x27;high&#x27; b&#x27;ssp126&#x27; b&#x27;ssp245&#x27; b&#x27;ssp585&#x27;\n",
-       "    stations   (nstations) |S12 b&#x27;Genova&#x27; b&#x27;LaRochelle&#x27; ... b&#x27;Valencia&#x27;\n",
-       "    lat        (nstations) float64 44.0 46.0 43.5 39.5\n",
-       "    lon        (nstations) float64 9.0 -1.5 -2.0 0.0\n",
-       "Dimensions without coordinates: nensemble, nstations, nscenarios\n",
-       "Data variables:\n",
-       "    slr        (nstations, nscenarios, nensemble, time) float64 0.07438 ... 1...\n",
-       "Attributes: (12/21)\n",
-       "    TITLE:               Sea level projections\n",
-       "    TITLE_ABBREVIATION:  slp\n",
-       "    DESCRIPTION:         to be done later...\n",
-       "    SHORT_DESCRIPTION:   to be done later...\n",
-       "    INSTITUTION:         to be done later...\n",
-       "    PROVIDERS:           {&quot;name&quot;: &quot;Deltares Test&quot;, &quot;url&quot;: &quot;https://www.deltar...\n",
-       "    ...                  ...\n",
-       "    DOI:                 to be done later...\n",
-       "    LONG_NAME:           SLP\n",
-       "    UNITS:               m\n",
-       "    COMMENT:             test is in the works\n",
-       "    CRS:                 EPSG:4326\n",
-       "    Conventions:         CF-1.8</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-13056467-f897-4e9d-b4c6-741b469d59ec' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-13056467-f897-4e9d-b4c6-741b469d59ec' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 4</li><li><span>nensemble</span>: 3</li><li><span>nstations</span>: 4</li><li><span>nscenarios</span>: 4</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-35b9af04-f613-4901-b462-6ba1db2de31e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-35b9af04-f613-4901-b462-6ba1db2de31e' class='xr-section-summary' >Coordinates: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>2030 2050 2100 2150</div><input id='attrs-6d93edb8-f620-47cc-8e13-56831ad09c63' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6d93edb8-f620-47cc-8e13-56831ad09c63' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b0189a08-dee1-456b-928c-a08d5d792016' class='xr-var-data-in' type='checkbox'><label for='data-b0189a08-dee1-456b-928c-a08d5d792016' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time projections</dd><dt><span>units :</span></dt><dd>yr</dd></dl></div><div class='xr-var-data'><pre>array([2030, 2050, 2100, 2150], dtype=int64)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ensemble</span></div><div class='xr-var-dims'>(nensemble)</div><div class='xr-var-dtype'>|S6</div><div class='xr-var-preview xr-preview'>b&#x27;low&#x27; b&#x27;median&#x27; b&#x27;high&#x27;</div><input id='attrs-3de6c698-fffa-4002-adc5-6d080897bbd6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3de6c698-fffa-4002-adc5-6d080897bbd6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fa60d560-8934-445c-b3f4-be5c4abacece' class='xr-var-data-in' type='checkbox'><label for='data-fa60d560-8934-445c-b3f4-be5c4abacece' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ensemble</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;low&#x27;, b&#x27;median&#x27;, b&#x27;high&#x27;], dtype=&#x27;|S6&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>scenarios</span></div><div class='xr-var-dims'>(nscenarios)</div><div class='xr-var-dtype'>|S6</div><div class='xr-var-preview xr-preview'>b&#x27;high&#x27; b&#x27;ssp126&#x27; ... b&#x27;ssp585&#x27;</div><input id='attrs-11177c3e-79bf-4d10-b05e-d4b8f92efc59' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-11177c3e-79bf-4d10-b05e-d4b8f92efc59' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aadb3c44-ddd3-437c-bd1d-08df85d5476b' class='xr-var-data-in' type='checkbox'><label for='data-aadb3c44-ddd3-437c-bd1d-08df85d5476b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>shared socioeconomic pathways</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;high&#x27;, b&#x27;ssp126&#x27;, b&#x27;ssp245&#x27;, b&#x27;ssp585&#x27;], dtype=&#x27;|S6&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>stations</span></div><div class='xr-var-dims'>(nstations)</div><div class='xr-var-dtype'>|S12</div><div class='xr-var-preview xr-preview'>b&#x27;Genova&#x27; ... b&#x27;Valencia&#x27;</div><input id='attrs-9e88e213-9942-482d-b73d-89f8a61973bd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9e88e213-9942-482d-b73d-89f8a61973bd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aec35188-9d2c-4fe8-a5da-9bc454fd93a0' class='xr-var-data-in' type='checkbox'><label for='data-aec35188-9d2c-4fe8-a5da-9bc454fd93a0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>stations</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;Genova&#x27;, b&#x27;LaRochelle&#x27;, b&#x27;SanSebastian&#x27;, b&#x27;Valencia&#x27;],\n",
-       "      dtype=&#x27;|S12&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(nstations)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>44.0 46.0 43.5 39.5</div><input id='attrs-4236373e-d064-48d1-89ee-ad09b87a3ab8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4236373e-d064-48d1-89ee-ad09b87a3ab8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1bca23c7-64ce-45f0-af91-d4f438eb2d17' class='xr-var-data-in' type='checkbox'><label for='data-1bca23c7-64ce-45f0-af91-d4f438eb2d17' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([44. , 46. , 43.5, 39.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(nstations)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>9.0 -1.5 -2.0 0.0</div><input id='attrs-303eacef-e742-439b-9f30-23f51970628b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-303eacef-e742-439b-9f30-23f51970628b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8688ab5c-a86f-409e-9914-36cc44db8385' class='xr-var-data-in' type='checkbox'><label for='data-8688ab5c-a86f-409e-9914-36cc44db8385' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([ 9. , -1.5, -2. ,  0. ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0e68a04e-bbb6-4f98-add9-9a83cd60c60c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0e68a04e-bbb6-4f98-add9-9a83cd60c60c' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>slr</span></div><div class='xr-var-dims'>(nstations, nscenarios, nensemble, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.07438 0.1807 ... 1.072 1.929</div><input id='attrs-584d1475-d0b2-43e1-a8d2-43ada932e2b6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-584d1475-d0b2-43e1-a8d2-43ada932e2b6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-13093071-86cb-472a-ad37-62ec9dec6471' class='xr-var-data-in' type='checkbox'><label for='data-13093071-86cb-472a-ad37-62ec9dec6471' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea level projections</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([[[[0.07437646, 0.18074177, 0.5954425 , 0.88035513],\n",
-       "         [0.11957024, 0.26407631, 0.90284148, 2.01160665],\n",
-       "         [0.17772071, 0.40028073, 1.41008318, 5.24169474]],\n",
-       "\n",
-       "        [[0.06440561, 0.14773355, 0.32510475, 0.41863393],\n",
-       "         [0.11757024, 0.22907631, 0.49184148, 0.71160665],\n",
-       "         [0.17671817, 0.32536569, 0.71140044, 1.10832446]],\n",
-       "\n",
-       "        [[0.07538066, 0.16173355, 0.42815805, 0.60379471],\n",
-       "         [0.12157024, 0.24307631, 0.60784148, 0.95460665],\n",
-       "         [0.1727413 , 0.33936569, 0.85433922, 1.44019292]],\n",
-       "\n",
-       "        [[0.07537208, 0.18372491, 0.59524735, 0.87996052],\n",
-       "         [0.11957024, 0.26307631, 0.80184148, 1.32060665],\n",
-       "         [0.16974471, 0.36036271, 1.10424706, 1.96304966]]],\n",
-       "\n",
-       "\n",
-       "       [[[0.07114866, 0.18052936, 0.58078776, 0.86019933],\n",
-       "         [0.1143078 , 0.25482372, 0.87611353, 1.95440333],\n",
-       "         [0.17043009, 0.38199547, 1.36531012, 5.08447464]],\n",
-       "...\n",
-       "        [[0.07022395, 0.17773613, 0.57517845, 0.85773841],\n",
-       "         [0.11336455, 0.25000341, 0.77660057, 1.28719773],\n",
-       "         [0.16149054, 0.34021738, 1.06989031, 1.90951462]]],\n",
-       "\n",
-       "\n",
-       "       [[[0.07835564, 0.17955995, 0.59927598, 0.90213543],\n",
-       "         [0.1214865 , 0.25778963, 0.89054746, 1.9823053 ],\n",
-       "         [0.17758704, 0.39591958, 1.42769463, 5.04436521]],\n",
-       "\n",
-       "        [[0.06937162, 0.14055697, 0.31602145, 0.41761903],\n",
-       "         [0.1184865 , 0.21778963, 0.46654746, 0.6853053 ],\n",
-       "         [0.17259075, 0.30998444, 0.67093454, 1.05480217]],\n",
-       "\n",
-       "        [[0.07736144, 0.15854427, 0.41307765, 0.59674811],\n",
-       "         [0.1224865 , 0.23178963, 0.58154746, 0.9263053 ],\n",
-       "         [0.17259907, 0.32099099, 0.81987933, 1.39269884]],\n",
-       "\n",
-       "        [[0.08034586, 0.18354087, 0.59912527, 0.90186022],\n",
-       "         [0.1204865 , 0.25578963, 0.78654746, 1.3143053 ],\n",
-       "         [0.16760624, 0.34598876, 1.07182466, 1.92860403]]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9c6744d4-36b1-4e1d-8eee-2913bd7fbf2a' class='xr-section-summary-in' type='checkbox'  ><label for='section-9c6744d4-36b1-4e1d-8eee-2913bd7fbf2a' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ce420f5e-28e2-4ece-a8bb-d8a26ee11e9c' class='xr-index-data-in' type='checkbox'/><label for='index-ce420f5e-28e2-4ece-a8bb-d8a26ee11e9c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([2030, 2050, 2100, 2150], dtype=&#x27;int64&#x27;, name=&#x27;time&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8dfa360e-dd0a-43e6-9a29-c997e8a8268a' class='xr-section-summary-in' type='checkbox'  ><label for='section-8dfa360e-dd0a-43e6-9a29-c997e8a8268a' class='xr-section-summary' >Attributes: <span>(21)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>TITLE :</span></dt><dd>Sea level projections</dd><dt><span>TITLE_ABBREVIATION :</span></dt><dd>slp</dd><dt><span>DESCRIPTION :</span></dt><dd>to be done later...</dd><dt><span>SHORT_DESCRIPTION :</span></dt><dd>to be done later...</dd><dt><span>INSTITUTION :</span></dt><dd>to be done later...</dd><dt><span>PROVIDERS :</span></dt><dd>{&quot;name&quot;: &quot;Deltares Test&quot;, &quot;url&quot;: &quot;https://www.deltares.nl&quot;, &quot;roles&quot;: &quot;provider&quot;, &quot;description&quot;: &quot;to be done later...&quot;}</dd><dt><span>HISTORY :</span></dt><dd>[&#x27;Deltares&#x27;]</dd><dt><span>MEDIA_TYPE :</span></dt><dd>TEXT/CSV</dd><dt><span>SPATIAL_EXTENT :</span></dt><dd>[-180, -90, 180, 90]</dd><dt><span>TEMPORAL_EXTENT :</span></dt><dd>[&#x27;2150-01-01T00:00:00Z&#x27;]</dd><dt><span>LICENSE :</span></dt><dd>to be done later...</dd><dt><span>AUTHOR :</span></dt><dd>to be done later...</dd><dt><span>KEYWORDS :</span></dt><dd>[&#x27;climate change&#x27;, &#x27;extreme sea level&#x27;, &#x27;deltas&#x27;]</dd><dt><span>TAGS :</span></dt><dd>[&#x27;climate change&#x27;, &#x27;extreme sea level&#x27;, &#x27;deltas&#x27;]</dd><dt><span>CITATION :</span></dt><dd>to be done later...</dd><dt><span>DOI :</span></dt><dd>to be done later...</dd><dt><span>LONG_NAME :</span></dt><dd>SLP</dd><dt><span>UNITS :</span></dt><dd>m</dd><dt><span>COMMENT :</span></dt><dd>test is in the works</dd><dt><span>CRS :</span></dt><dd>EPSG:4326</dd><dt><span>Conventions :</span></dt><dd>CF-1.8</dd></dl></div></li></ul></div></div>"
-      ],
-      "text/plain": [
-       "<xarray.Dataset>\n",
-       "Dimensions:    (time: 4, nensemble: 3, nstations: 4, nscenarios: 4)\n",
-       "Coordinates:\n",
-       "  * time       (time) int64 2030 2050 2100 2150\n",
-       "    ensemble   (nensemble) |S6 b'low' b'median' b'high'\n",
-       "    scenarios  (nscenarios) |S6 b'high' b'ssp126' b'ssp245' b'ssp585'\n",
-       "    stations   (nstations) |S12 b'Genova' b'LaRochelle' ... b'Valencia'\n",
-       "    lat        (nstations) float64 44.0 46.0 43.5 39.5\n",
-       "    lon        (nstations) float64 9.0 -1.5 -2.0 0.0\n",
-       "Dimensions without coordinates: nensemble, nstations, nscenarios\n",
-       "Data variables:\n",
-       "    slr        (nstations, nscenarios, nensemble, time) float64 0.07438 ... 1...\n",
-       "Attributes: (12/21)\n",
-       "    TITLE:               Sea level projections\n",
-       "    TITLE_ABBREVIATION:  slp\n",
-       "    DESCRIPTION:         to be done later...\n",
-       "    SHORT_DESCRIPTION:   to be done later...\n",
-       "    INSTITUTION:         to be done later...\n",
-       "    PROVIDERS:           {\"name\": \"Deltares Test\", \"url\": \"https://www.deltar...\n",
-       "    ...                  ...\n",
-       "    DOI:                 to be done later...\n",
-       "    LONG_NAME:           SLP\n",
-       "    UNITS:               m\n",
-       "    COMMENT:             test is in the works\n",
-       "    CRS:                 EPSG:4326\n",
-       "    Conventions:         CF-1.8"
-      ]
-     },
-     "execution_count": 17,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ds_CF_merge"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# write to NetCDF file to check compliancy\n",
-    "\n",
-    "# prevent file locking, see: https://github.com/pydata/xarray/issues/2376\n",
-    "import os\n",
-    "os.environ['HDF5_USE_FILE_LOCKING'] = 'FALSE'\n",
-    "\n",
-    "ds_CF_merge.to_netcdf(path=str(dataset_dir_path).replace(\".nc\", \"_CF.nc\"))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "%%capture cap --no-stderr\n",
-    "\n",
-    "# check altered CF compliancy\n",
-    "check_compliancy(testfile=str(dataset_dir_path).replace(\".nc\", \"_CF.nc\"), working_dir=CF_dir)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "{'P:\\\\11205479-coclico\\\\FULLTRACK_DATA\\\\WP3\\\\pilot\\\\SLP_MvS_CF.nc': {'warnings': '0', 'errors': '0'}}\n"
-     ]
-    }
-   ],
-   "source": [
-    "# save original CF compliancy (for first file)\n",
-    "save_compliancy(cap, testfile=str(dataset_dir_path).replace(\".nc\", \"_CF.nc\"), working_dir=CF_dir)   "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<xarray.backends.zarr.ZarrStore at 0x2496a108c10>"
-      ]
-     },
-     "execution_count": 21,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# export to zarr in write mode (to overwrite if exists)\n",
-    "ds_CF_merge.to_zarr(dataset_dir.joinpath(\"%s.zarr\" % ds_out_file), mode=\"w\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# check\n",
-    "check = xr.open_zarr(dataset_dir.joinpath(\"%s.zarr\" % ds_out_file))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
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-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
-       "Dimensions:    (nensemble: 3, nstations: 4, nscenarios: 4, time: 4)\n",
-       "Coordinates:\n",
-       "    ensemble   (nensemble) |S6 dask.array&lt;chunksize=(3,), meta=np.ndarray&gt;\n",
-       "    lat        (nstations) float64 dask.array&lt;chunksize=(4,), meta=np.ndarray&gt;\n",
-       "    lon        (nstations) float64 dask.array&lt;chunksize=(4,), meta=np.ndarray&gt;\n",
-       "    scenarios  (nscenarios) |S6 dask.array&lt;chunksize=(4,), meta=np.ndarray&gt;\n",
-       "    stations   (nstations) |S12 dask.array&lt;chunksize=(4,), meta=np.ndarray&gt;\n",
-       "  * time       (time) int64 2030 2050 2100 2150\n",
-       "Dimensions without coordinates: nensemble, nstations, nscenarios\n",
-       "Data variables:\n",
-       "    slr        (nstations, nscenarios, nensemble, time) float64 dask.array&lt;chunksize=(4, 4, 3, 4), meta=np.ndarray&gt;\n",
-       "Attributes: (12/21)\n",
-       "    AUTHOR:              to be done later...\n",
-       "    CITATION:            to be done later...\n",
-       "    COMMENT:             test is in the works\n",
-       "    CRS:                 EPSG:4326\n",
-       "    Conventions:         CF-1.8\n",
-       "    DESCRIPTION:         to be done later...\n",
-       "    ...                  ...\n",
-       "    SPATIAL_EXTENT:      [-180, -90, 180, 90]\n",
-       "    TAGS:                [&#x27;climate change&#x27;, &#x27;extreme sea level&#x27;, &#x27;deltas&#x27;]\n",
-       "    TEMPORAL_EXTENT:     [&#x27;2150-01-01T00:00:00Z&#x27;]\n",
-       "    TITLE:               Sea level projections\n",
-       "    TITLE_ABBREVIATION:  slp\n",
-       "    UNITS:               m</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-a9b1a125-0fc8-4846-a32e-7fd9193c02cc' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a9b1a125-0fc8-4846-a32e-7fd9193c02cc' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>nensemble</span>: 3</li><li><span>nstations</span>: 4</li><li><span>nscenarios</span>: 4</li><li><span class='xr-has-index'>time</span>: 4</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-6c812835-c445-4f44-bb7c-397a1de79086' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6c812835-c445-4f44-bb7c-397a1de79086' class='xr-section-summary' >Coordinates: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>ensemble</span></div><div class='xr-var-dims'>(nensemble)</div><div class='xr-var-dtype'>|S6</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(3,), meta=np.ndarray&gt;</div><input id='attrs-524136d9-02fb-4a45-8fb5-a85ffb3da5b7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-524136d9-02fb-4a45-8fb5-a85ffb3da5b7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-71a5a845-512a-4f05-8357-21c384f4ca2b' class='xr-var-data-in' type='checkbox'><label for='data-71a5a845-512a-4f05-8357-21c384f4ca2b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ensemble</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
-       "    <tr>\n",
-       "        <td>\n",
-       "            <table style=\"border-collapse: collapse;\">\n",
-       "                <thead>\n",
-       "                    <tr>\n",
-       "                        <td> </td>\n",
-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
-       "                    </tr>\n",
-       "                </thead>\n",
-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 18 B </td>\n",
-       "                        <td> 18 B </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> (3,) </td>\n",
-       "                        <td> (3,) </td>\n",
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-       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
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-       "                        <td colspan=\"2\"> |S6 numpy.ndarray </td>\n",
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-       "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(nstations)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4,), meta=np.ndarray&gt;</div><input id='attrs-d4866844-e5c9-40f9-b40d-7e4cfa0e39c6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d4866844-e5c9-40f9-b40d-7e4cfa0e39c6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cac403ff-0ab3-455d-a797-76b18b366671' class='xr-var-data-in' type='checkbox'><label for='data-cac403ff-0ab3-455d-a797-76b18b366671' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><table>\n",
-       "    <tr>\n",
-       "        <td>\n",
-       "            <table style=\"border-collapse: collapse;\">\n",
-       "                <thead>\n",
-       "                    <tr>\n",
-       "                        <td> </td>\n",
-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
-       "                    </tr>\n",
-       "                </thead>\n",
-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 32 B </td>\n",
-       "                        <td> 32 B </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> (4,) </td>\n",
-       "                        <td> (4,) </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
-       "                    </tr>\n",
-       "                </tbody>\n",
-       "            </table>\n",
-       "        </td>\n",
-       "        <td>\n",
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-       "</svg>\n",
-       "        </td>\n",
-       "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(nstations)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4,), meta=np.ndarray&gt;</div><input id='attrs-b9177ce4-dbc6-4dad-8dce-b389c373c388' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b9177ce4-dbc6-4dad-8dce-b389c373c388' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8b350045-3200-49ae-97d7-48840b840c55' class='xr-var-data-in' type='checkbox'><label for='data-8b350045-3200-49ae-97d7-48840b840c55' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><table>\n",
-       "    <tr>\n",
-       "        <td>\n",
-       "            <table style=\"border-collapse: collapse;\">\n",
-       "                <thead>\n",
-       "                    <tr>\n",
-       "                        <td> </td>\n",
-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
-       "                    </tr>\n",
-       "                </thead>\n",
-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 32 B </td>\n",
-       "                        <td> 32 B </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> (4,) </td>\n",
-       "                        <td> (4,) </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
-       "                    </tr>\n",
-       "                </tbody>\n",
-       "            </table>\n",
-       "        </td>\n",
-       "        <td>\n",
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-       "</svg>\n",
-       "        </td>\n",
-       "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>scenarios</span></div><div class='xr-var-dims'>(nscenarios)</div><div class='xr-var-dtype'>|S6</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4,), meta=np.ndarray&gt;</div><input id='attrs-0ec8ebba-0110-4351-89e3-608dd1766e1b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0ec8ebba-0110-4351-89e3-608dd1766e1b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5b9f0d75-401e-4932-b306-c87e6ea63b02' class='xr-var-data-in' type='checkbox'><label for='data-5b9f0d75-401e-4932-b306-c87e6ea63b02' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>shared socioeconomic pathways</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
-       "    <tr>\n",
-       "        <td>\n",
-       "            <table style=\"border-collapse: collapse;\">\n",
-       "                <thead>\n",
-       "                    <tr>\n",
-       "                        <td> </td>\n",
-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
-       "                    </tr>\n",
-       "                </thead>\n",
-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 24 B </td>\n",
-       "                        <td> 24 B </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> (4,) </td>\n",
-       "                        <td> (4,) </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> |S6 numpy.ndarray </td>\n",
-       "                    </tr>\n",
-       "                </tbody>\n",
-       "            </table>\n",
-       "        </td>\n",
-       "        <td>\n",
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-       "\n",
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-       "</svg>\n",
-       "        </td>\n",
-       "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>stations</span></div><div class='xr-var-dims'>(nstations)</div><div class='xr-var-dtype'>|S12</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4,), meta=np.ndarray&gt;</div><input id='attrs-41acfe4f-19e1-4a1f-aa37-0dcc2da65633' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-41acfe4f-19e1-4a1f-aa37-0dcc2da65633' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d0467b19-6270-4d6a-b4c1-65698747db1d' class='xr-var-data-in' type='checkbox'><label for='data-d0467b19-6270-4d6a-b4c1-65698747db1d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>stations</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
-       "    <tr>\n",
-       "        <td>\n",
-       "            <table style=\"border-collapse: collapse;\">\n",
-       "                <thead>\n",
-       "                    <tr>\n",
-       "                        <td> </td>\n",
-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
-       "                    </tr>\n",
-       "                </thead>\n",
-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 48 B </td>\n",
-       "                        <td> 48 B </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> (4,) </td>\n",
-       "                        <td> (4,) </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> |S12 numpy.ndarray </td>\n",
-       "                    </tr>\n",
-       "                </tbody>\n",
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-       "        </td>\n",
-       "        <td>\n",
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-       "        </td>\n",
-       "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>2030 2050 2100 2150</div><input id='attrs-93e234ba-aea6-48ff-8e8e-df9f072ca4a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-93e234ba-aea6-48ff-8e8e-df9f072ca4a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6bc99c85-292b-444c-a1fa-f115eb2ff6a4' class='xr-var-data-in' type='checkbox'><label for='data-6bc99c85-292b-444c-a1fa-f115eb2ff6a4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time projections</dd><dt><span>units :</span></dt><dd>yr</dd></dl></div><div class='xr-var-data'><pre>array([2030, 2050, 2100, 2150], dtype=int64)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4f920cb4-dded-4f4f-9592-31a8da27cd08' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4f920cb4-dded-4f4f-9592-31a8da27cd08' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>slr</span></div><div class='xr-var-dims'>(nstations, nscenarios, nensemble, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4, 4, 3, 4), meta=np.ndarray&gt;</div><input id='attrs-1f7ae60b-ad88-4a3b-82b7-8607087d1732' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f7ae60b-ad88-4a3b-82b7-8607087d1732' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-17bc8349-65b0-415d-b0a3-b3e30e81983b' class='xr-var-data-in' type='checkbox'><label for='data-17bc8349-65b0-415d-b0a3-b3e30e81983b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea level projections</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
-       "    <tr>\n",
-       "        <td>\n",
-       "            <table style=\"border-collapse: collapse;\">\n",
-       "                <thead>\n",
-       "                    <tr>\n",
-       "                        <td> </td>\n",
-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
-       "                    </tr>\n",
-       "                </thead>\n",
-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 1.50 kiB </td>\n",
-       "                        <td> 1.50 kiB </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
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-       "                        <td> (4, 4, 3, 4) </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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-       "Attributes: (12/21)\n",
-       "    AUTHOR:              to be done later...\n",
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-       "    CRS:                 EPSG:4326\n",
-       "    Conventions:         CF-1.8\n",
-       "    DESCRIPTION:         to be done later...\n",
-       "    ...                  ...\n",
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-       "    TEMPORAL_EXTENT:     ['2150-01-01T00:00:00Z']\n",
-       "    TITLE:               Sea level projections\n",
-       "    TITLE_ABBREVIATION:  slp\n",
-       "    UNITS:               m"
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-       ".xr-icon-database,\n",
-       ".xr-icon-file-text2,\n",
-       ".xr-no-icon {\n",
-       "  display: inline-block;\n",
-       "  vertical-align: middle;\n",
-       "  width: 1em;\n",
-       "  height: 1.5em !important;\n",
-       "  stroke-width: 0;\n",
-       "  stroke: currentColor;\n",
-       "  fill: currentColor;\n",
-       "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
-       "Dimensions:    (time: 4)\n",
-       "Coordinates:\n",
-       "    ensemble   |S6 dask.array&lt;chunksize=(), meta=np.ndarray&gt;\n",
-       "    lat        float64 dask.array&lt;chunksize=(), meta=np.ndarray&gt;\n",
-       "    lon        float64 dask.array&lt;chunksize=(), meta=np.ndarray&gt;\n",
-       "    scenarios  |S6 dask.array&lt;chunksize=(), meta=np.ndarray&gt;\n",
-       "    stations   |S12 dask.array&lt;chunksize=(), meta=np.ndarray&gt;\n",
-       "  * time       (time) int64 2030 2050 2100 2150\n",
-       "Data variables:\n",
-       "    slr        (time) float64 dask.array&lt;chunksize=(4,), meta=np.ndarray&gt;\n",
-       "Attributes: (12/21)\n",
-       "    AUTHOR:              to be done later...\n",
-       "    CITATION:            to be done later...\n",
-       "    COMMENT:             test is in the works\n",
-       "    CRS:                 EPSG:4326\n",
-       "    Conventions:         CF-1.8\n",
-       "    DESCRIPTION:         to be done later...\n",
-       "    ...                  ...\n",
-       "    SPATIAL_EXTENT:      [-180, -90, 180, 90]\n",
-       "    TAGS:                [&#x27;climate change&#x27;, &#x27;extreme sea level&#x27;, &#x27;deltas&#x27;]\n",
-       "    TEMPORAL_EXTENT:     [&#x27;2150-01-01T00:00:00Z&#x27;]\n",
-       "    TITLE:               Sea level projections\n",
-       "    TITLE_ABBREVIATION:  slp\n",
-       "    UNITS:               m</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-634d8f30-9df6-4014-92ea-f66ef1880166' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-634d8f30-9df6-4014-92ea-f66ef1880166' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 4</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-df2e50b5-513f-4455-9b61-4b0ed6a93110' class='xr-section-summary-in' type='checkbox'  checked><label for='section-df2e50b5-513f-4455-9b61-4b0ed6a93110' class='xr-section-summary' >Coordinates: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>ensemble</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S6</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(), meta=np.ndarray&gt;</div><input id='attrs-6f498395-de4f-420d-a41a-82cb7b4a60b3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6f498395-de4f-420d-a41a-82cb7b4a60b3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6f9de6d5-92b3-427b-94b7-8e199e1f5cb8' class='xr-var-data-in' type='checkbox'><label for='data-6f9de6d5-92b3-427b-94b7-8e199e1f5cb8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ensemble</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
-       "    <tr>\n",
-       "        <td>\n",
-       "            <table style=\"border-collapse: collapse;\">\n",
-       "                <thead>\n",
-       "                    <tr>\n",
-       "                        <td> </td>\n",
-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
-       "                    </tr>\n",
-       "                </thead>\n",
-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 6 B </td>\n",
-       "                        <td> 6 B </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> () </td>\n",
-       "                        <td> () </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 3 graph layers </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> |S6 numpy.ndarray </td>\n",
-       "                    </tr>\n",
-       "                </tbody>\n",
-       "            </table>\n",
-       "        </td>\n",
-       "        <td>\n",
-       "        \n",
-       "        </td>\n",
-       "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(), meta=np.ndarray&gt;</div><input id='attrs-a3ba10c8-a73f-439d-9398-e46c41341ab7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a3ba10c8-a73f-439d-9398-e46c41341ab7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3996a59e-3b70-4b76-b273-5626a86b8eb9' class='xr-var-data-in' type='checkbox'><label for='data-3996a59e-3b70-4b76-b273-5626a86b8eb9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><table>\n",
-       "    <tr>\n",
-       "        <td>\n",
-       "            <table style=\"border-collapse: collapse;\">\n",
-       "                <thead>\n",
-       "                    <tr>\n",
-       "                        <td> </td>\n",
-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
-       "                    </tr>\n",
-       "                </thead>\n",
-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 8 B </td>\n",
-       "                        <td> 8 B </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> () </td>\n",
-       "                        <td> () </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 3 graph layers </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
-       "                    </tr>\n",
-       "                </tbody>\n",
-       "            </table>\n",
-       "        </td>\n",
-       "        <td>\n",
-       "        \n",
-       "        </td>\n",
-       "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(), meta=np.ndarray&gt;</div><input id='attrs-33c9f07d-0d60-4cd1-a28c-c01f6c209a3b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-33c9f07d-0d60-4cd1-a28c-c01f6c209a3b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d7cbacc7-1b44-4d72-9c4f-c21ee090ba6f' class='xr-var-data-in' type='checkbox'><label for='data-d7cbacc7-1b44-4d72-9c4f-c21ee090ba6f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><table>\n",
-       "    <tr>\n",
-       "        <td>\n",
-       "            <table style=\"border-collapse: collapse;\">\n",
-       "                <thead>\n",
-       "                    <tr>\n",
-       "                        <td> </td>\n",
-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
-       "                    </tr>\n",
-       "                </thead>\n",
-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 8 B </td>\n",
-       "                        <td> 8 B </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> () </td>\n",
-       "                        <td> () </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 3 graph layers </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
-       "                    </tr>\n",
-       "                </tbody>\n",
-       "            </table>\n",
-       "        </td>\n",
-       "        <td>\n",
-       "        \n",
-       "        </td>\n",
-       "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>scenarios</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S6</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(), meta=np.ndarray&gt;</div><input id='attrs-38162662-c7ae-464d-afec-ad8a9bf63c4c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-38162662-c7ae-464d-afec-ad8a9bf63c4c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-118f5158-25ff-45ea-973e-14ef88d01196' class='xr-var-data-in' type='checkbox'><label for='data-118f5158-25ff-45ea-973e-14ef88d01196' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>shared socioeconomic pathways</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
-       "    <tr>\n",
-       "        <td>\n",
-       "            <table style=\"border-collapse: collapse;\">\n",
-       "                <thead>\n",
-       "                    <tr>\n",
-       "                        <td> </td>\n",
-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
-       "                    </tr>\n",
-       "                </thead>\n",
-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 6 B </td>\n",
-       "                        <td> 6 B </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> () </td>\n",
-       "                        <td> () </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 3 graph layers </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> |S6 numpy.ndarray </td>\n",
-       "                    </tr>\n",
-       "                </tbody>\n",
-       "            </table>\n",
-       "        </td>\n",
-       "        <td>\n",
-       "        \n",
-       "        </td>\n",
-       "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>stations</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S12</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(), meta=np.ndarray&gt;</div><input id='attrs-d5bb2ab1-f90a-455d-bfb1-8991689853b7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d5bb2ab1-f90a-455d-bfb1-8991689853b7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c7d1a0a8-d346-4591-bd41-62986cb1cade' class='xr-var-data-in' type='checkbox'><label for='data-c7d1a0a8-d346-4591-bd41-62986cb1cade' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>stations</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
-       "    <tr>\n",
-       "        <td>\n",
-       "            <table style=\"border-collapse: collapse;\">\n",
-       "                <thead>\n",
-       "                    <tr>\n",
-       "                        <td> </td>\n",
-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
-       "                    </tr>\n",
-       "                </thead>\n",
-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 12 B </td>\n",
-       "                        <td> 12 B </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> () </td>\n",
-       "                        <td> () </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 3 graph layers </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> |S12 numpy.ndarray </td>\n",
-       "                    </tr>\n",
-       "                </tbody>\n",
-       "            </table>\n",
-       "        </td>\n",
-       "        <td>\n",
-       "        \n",
-       "        </td>\n",
-       "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>2030 2050 2100 2150</div><input id='attrs-0a6557de-b3aa-42a6-a4ab-c0927e8cc6ff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0a6557de-b3aa-42a6-a4ab-c0927e8cc6ff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-24ca5b42-b4ed-4874-9195-3edce3d28184' class='xr-var-data-in' type='checkbox'><label for='data-24ca5b42-b4ed-4874-9195-3edce3d28184' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time projections</dd><dt><span>units :</span></dt><dd>yr</dd></dl></div><div class='xr-var-data'><pre>array([2030, 2050, 2100, 2150], dtype=int64)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d9c9102a-42e1-4881-b99d-e620b061627a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d9c9102a-42e1-4881-b99d-e620b061627a' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>slr</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4,), meta=np.ndarray&gt;</div><input id='attrs-008aa12d-354d-4da2-afc3-24d3eed3839f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-008aa12d-354d-4da2-afc3-24d3eed3839f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c41af530-0b3f-4672-a776-7d4e0ab5ab70' class='xr-var-data-in' type='checkbox'><label for='data-c41af530-0b3f-4672-a776-7d4e0ab5ab70' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea level projections</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
-       "    <tr>\n",
-       "        <td>\n",
-       "            <table style=\"border-collapse: collapse;\">\n",
-       "                <thead>\n",
-       "                    <tr>\n",
-       "                        <td> </td>\n",
-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
-       "                    </tr>\n",
-       "                </thead>\n",
-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 32 B </td>\n",
-       "                        <td> 32 B </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> (4,) </td>\n",
-       "                        <td> (4,) </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 3 graph layers </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
-       "                    </tr>\n",
-       "                </tbody>\n",
-       "            </table>\n",
-       "        </td>\n",
-       "        <td>\n",
-       "        <svg width=\"170\" height=\"92\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
-       "\n",
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-       "        </td>\n",
-       "    </tr>\n",
-       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-0c1018cd-f535-4248-b4db-cd296294d3c1' class='xr-section-summary-in' type='checkbox'  ><label for='section-0c1018cd-f535-4248-b4db-cd296294d3c1' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8e55f50f-896e-467a-8910-f816611b2669' class='xr-index-data-in' type='checkbox'/><label for='index-8e55f50f-896e-467a-8910-f816611b2669' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([2030, 2050, 2100, 2150], dtype=&#x27;int64&#x27;, name=&#x27;time&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2b56f0a4-726e-4876-89e6-a685da02febe' class='xr-section-summary-in' type='checkbox'  ><label for='section-2b56f0a4-726e-4876-89e6-a685da02febe' class='xr-section-summary' >Attributes: <span>(21)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>AUTHOR :</span></dt><dd>to be done later...</dd><dt><span>CITATION :</span></dt><dd>to be done later...</dd><dt><span>COMMENT :</span></dt><dd>test is in the works</dd><dt><span>CRS :</span></dt><dd>EPSG:4326</dd><dt><span>Conventions :</span></dt><dd>CF-1.8</dd><dt><span>DESCRIPTION :</span></dt><dd>to be done later...</dd><dt><span>DOI :</span></dt><dd>to be done later...</dd><dt><span>HISTORY :</span></dt><dd>[&#x27;Deltares&#x27;]</dd><dt><span>INSTITUTION :</span></dt><dd>to be done later...</dd><dt><span>KEYWORDS :</span></dt><dd>[&#x27;climate change&#x27;, &#x27;extreme sea level&#x27;, &#x27;deltas&#x27;]</dd><dt><span>LICENSE :</span></dt><dd>to be done later...</dd><dt><span>LONG_NAME :</span></dt><dd>SLP</dd><dt><span>MEDIA_TYPE :</span></dt><dd>TEXT/CSV</dd><dt><span>PROVIDERS :</span></dt><dd>{&quot;name&quot;: &quot;Deltares Test&quot;, &quot;url&quot;: &quot;https://www.deltares.nl&quot;, &quot;roles&quot;: &quot;provider&quot;, &quot;description&quot;: &quot;to be done later...&quot;}</dd><dt><span>SHORT_DESCRIPTION :</span></dt><dd>to be done later...</dd><dt><span>SPATIAL_EXTENT :</span></dt><dd>[-180, -90, 180, 90]</dd><dt><span>TAGS :</span></dt><dd>[&#x27;climate change&#x27;, &#x27;extreme sea level&#x27;, &#x27;deltas&#x27;]</dd><dt><span>TEMPORAL_EXTENT :</span></dt><dd>[&#x27;2150-01-01T00:00:00Z&#x27;]</dd><dt><span>TITLE :</span></dt><dd>Sea level projections</dd><dt><span>TITLE_ABBREVIATION :</span></dt><dd>slp</dd><dt><span>UNITS :</span></dt><dd>m</dd></dl></div></li></ul></div></div>"
-      ],
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Set final output file name, nc-file is broken down into tif's \\n            item_name = str(time.year) + '.tif'\\n            \\n            # convert to dataset\\n            dad = da.to_dataset()\\n\\n            # add all attributes (again)\\n            for attr_name, attr_val in meta_data.items():\\n                if attr_name == 'PROVIDERS':\\n                    attr_val = json.dumps(attr_val)\\n                if attr_name == \\\"MEDIA_TYPE\\\":       # change media type to tiff, leave the rest as is\\n                    attr_val = \\\"IMAGE/TIFF\\\"\\n                if attr_name == 'TEMPORAL_EXTENT':  # only add the relevant year to the tif\\n                    attr_val = attr_val[itime]  \\t# NOTE: coded to match timing of the netcdf\\n                dad.attrs[attr_name] = attr_val\\n\\n\\n            dad.attrs['Conventions'] = \\\"CF-1.8\\\"\\n\\n            # Remove leftover NETCDF attributes\\n            attrs_del = 'NETCDF_DIM_EXTRA','NETCDF_DIM_time_DEF','NETCDF_DIM_time_VALUES'\\n            for attr_del in attrs_del:\\n                del dad[var].attrs[attr_del]\\n\\n            # 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       "text/plain": [
-       "<xarray.Dataset>\n",
-       "Dimensions:    (time: 4)\n",
-       "Coordinates:\n",
-       "    ensemble   |S6 dask.array<chunksize=(), meta=np.ndarray>\n",
-       "    lat        float64 dask.array<chunksize=(), meta=np.ndarray>\n",
-       "    lon        float64 dask.array<chunksize=(), meta=np.ndarray>\n",
-       "    scenarios  |S6 dask.array<chunksize=(), meta=np.ndarray>\n",
-       "    stations   |S12 dask.array<chunksize=(), meta=np.ndarray>\n",
-       "  * time       (time) int64 2030 2050 2100 2150\n",
-       "Data variables:\n",
-       "    slr        (time) float64 dask.array<chunksize=(4,), meta=np.ndarray>\n",
-       "Attributes: (12/21)\n",
-       "    AUTHOR:              to be done later...\n",
-       "    CITATION:            to be done later...\n",
-       "    COMMENT:             test is in the works\n",
-       "    CRS:                 EPSG:4326\n",
-       "    Conventions:         CF-1.8\n",
-       "    DESCRIPTION:         to be done later...\n",
-       "    ...                  ...\n",
-       "    SPATIAL_EXTENT:      [-180, -90, 180, 90]\n",
-       "    TAGS:                ['climate change', 'extreme sea level', 'deltas']\n",
-       "    TEMPORAL_EXTENT:     ['2150-01-01T00:00:00Z']\n",
-       "    TITLE:               Sea level projections\n",
-       "    TITLE_ABBREVIATION:  slp\n",
-       "    UNITS:               m"
+       "<IPython.core.display.Javascript object>"
       ]
      },
-     "execution_count": 24,
      "metadata": {},
-     "output_type": "execute_result"
+     "output_type": "display_data"
     }
    ],
    "source": [
-    "tester = check.isel(nstations=0, nscenarios=1, nensemble=0)\n",
-    "print(tester.stations.values)\n",
-    "print(tester.scenarios.values)\n",
-    "print(tester.ensemble.values)\n",
-    "print(tester.slr.values)\n",
-    "tester"
+    "# Hard code the various ssp scenarios considered\n",
+    "scens = 'high_end', 'ssp126', 'ssp245', 'ssp585'\n",
+    "\n",
+    "# List all nc-files from data folder\n",
+    "file_list = glob.glob(str(ds_dir.joinpath(\"*.nc\")))\n",
+    "\n",
+    "for scen, file in zip(scens, file_list):\n",
+    "    if not scen in file:\n",
+    "        raise ValueError('The some or more of the strings defined in scens are not found in your file_list')\n",
+    "        \n",
+    "for scen, file in zip(scens, file_list):\n",
+    "\n",
+    "    slp = xr.open_dataset(file, engine=\"rasterio\", mask_and_scale=False) \n",
+    "\n",
+    "    for var in slp:\n",
+    "        for itime, time in enumerate(slp['time'].values):    \n",
+    "            \n",
+    "            # Select the variable and timestep from dataset\n",
+    "            da = slp[var].isel(time = itime)\n",
+    "            da.drop('time')\n",
+    "\n",
+    "            # Set no data values\n",
+    "            da = (\n",
+    "            da.where(da != -2147483648, -9999)\n",
+    "            .astype(\"float64\")\n",
+    "            .rio.write_nodata(-9999)\n",
+    "            .rio.set_spatial_dims(x_dim=\"x\", y_dim=\"y\")\n",
+    "            )\n",
+    "\n",
+    "            # Set final output file name, nc-file is broken down into tif's \n",
+    "            item_name = str(time.year) + '.tif'\n",
+    "            \n",
+    "            # convert to dataset\n",
+    "            dad = da.to_dataset()\n",
+    "\n",
+    "            # add all attributes (again)\n",
+    "            for attr_name, attr_val in meta_data.items():\n",
+    "                if attr_name == 'PROVIDERS':\n",
+    "                    attr_val = json.dumps(attr_val)\n",
+    "                if attr_name == \"MEDIA_TYPE\":       # change media type to tiff, leave the rest as is\n",
+    "                    attr_val = \"IMAGE/TIFF\"\n",
+    "                if attr_name == 'TEMPORAL_EXTENT':  # only add the relevant year to the tif\n",
+    "                    attr_val = attr_val[itime]  \t# NOTE: coded to match timing of the netcdf\n",
+    "                dad.attrs[attr_name] = attr_val\n",
+    "\n",
+    "\n",
+    "            dad.attrs['Conventions'] = \"CF-1.8\"\n",
+    "\n",
+    "            # Remove leftover NETCDF attributes\n",
+    "            attrs_del = 'NETCDF_DIM_EXTRA','NETCDF_DIM_time_DEF','NETCDF_DIM_time_VALUES'\n",
+    "            for attr_del in attrs_del:\n",
+    "                del dad[var].attrs[attr_del]\n",
+    "\n",
+    "            # export file\n",
+    "            outpath = cog_dirs.joinpath(scen, str(var))\n",
+    "            outpath.mkdir(parents=True, exist_ok=True)\n",
+    "            outpath = outpath.joinpath(item_name)\n",
+    "            dad.rio.to_raster(outpath, compress = 'DEFLATE', driver= 'COG')"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
@@ -4492,8 +1368,7 @@
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    "pygments_lexer": "ipython3",
    "version": "3.11.4"
-  },
-  "orig_nbformat": 4
+  }
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  "nbformat": 4,
  "nbformat_minor": 2
diff --git a/notebooks/FASTTRACK/13_slp.ipynb b/notebooks/FASTTRACK/13_slp.ipynb
new file mode 100644
index 0000000000..81dad17280
--- /dev/null
+++ b/notebooks/FASTTRACK/13_slp.ipynb
@@ -0,0 +1,4500 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Sea level projection\n",
+    "### San Sebastian | Genova | La Rochelle | Valencia\n",
+    "Written by Math van Soest - Deltares \n",
+    "17-08-'23"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\kras\\AppData\\Local\\Temp\\ipykernel_12280\\3012141979.py:7: DeprecationWarning: Shapely 2.0 is installed, but because PyGEOS is also installed, GeoPandas still uses PyGEOS by default. However, starting with version 0.14, the default will switch to Shapely. To force to use Shapely 2.0 now, you can either uninstall PyGEOS or set the environment variable USE_PYGEOS=0. You can do this before starting the Python process, or in your code before importing geopandas:\n",
+      "\n",
+      "import os\n",
+      "os.environ['USE_PYGEOS'] = '0'\n",
+      "import geopandas\n",
+      "\n",
+      "In the next release, GeoPandas will switch to using Shapely by default, even if PyGEOS is installed. If you only have PyGEOS installed to get speed-ups, this switch should be smooth. However, if you are using PyGEOS directly (calling PyGEOS functions on geometries from GeoPandas), this will then stop working and you are encouraged to migrate from PyGEOS to Shapely 2.0 (https://shapely.readthedocs.io/en/latest/migration_pygeos.html).\n",
+      "  import geopandas as gpd\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Import standard packages\n",
+    "import os\n",
+    "import pathlib\n",
+    "\n",
+    "import sys\n",
+    "import numpy as np\n",
+    "import geopandas as gpd\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import xarray as xr\n",
+    "import math\n",
+    "import itertools\n",
+    "import glob\n",
+    "\n",
+    "# Import custom functionality\n",
+    "from coclicodata.drive_config import p_drive\n",
+    "from coclicodata.etl.cf_compliancy_checker import check_compliancy, save_compliancy\n",
+    "\n",
+    "# Define (local and) remote drives\n",
+    "gca_data_dir = p_drive.joinpath(\"11205479-coclico\",\"FULLTRACK_DATA\",\"WP3\")\n",
+    "\n",
+    "# Workaround to the Windows OS (10) udunits error after installation of cfchecker: https://github.com/SciTools/iris/issues/404\n",
+    "os.environ[\"UDUNITS2_XML_PATH\"] = str(\n",
+    "    pathlib.Path().home().joinpath(  # change to the udunits2.xml file dir in your Python installation\n",
+    "        r\"Anaconda3\\pkgs\\udunits2-2.2.28-h892ecd3_0\\Library\\share\\udunits\\udunits2.xml\"\n",
+    "    )\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Project paths & files (manual input)\n",
+    "dataset_dir = gca_data_dir.joinpath(\"pilot\")\n",
+    "dataset_dir_path = dataset_dir.joinpath(\"SLP_MvS.nc\")\n",
+    "ds_out_file = \"SLP_MvS\"\n",
+    "CF_dir = gca_data_dir.joinpath(r\"CF\")  # directory to save output CF check files"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# write csv to netcdf\n",
+    "\n",
+    "# open all csv files in different dirs\n",
+    "all_files = []\n",
+    "for dir in os.listdir(dataset_dir):\n",
+    "    #if '.' not in dir: # arbitrary, no file extension to determine whether it is dir\n",
+    "        #all_files.append(glob.glob(os.path.join(dataset_dir,  \"*.CSV\")))\n",
+    "        #all_files.append(os.path.join(dataset_dir,  \"*.csv\"))\n",
+    "    if \"csv\" in dir:\n",
+    "        all_files.append(os.path.join(dataset_dir, dir))\n",
+    "\n",
+    "# read csv and convert to nc files\n",
+    "li = []\n",
+    "for filename in all_files: #list(itertools.chain(*all_files)):\n",
+    "   \n",
+    "    df = pd.read_csv(filename, index_col=None, header=0)\n",
+    "    li.append(df)\n",
+    "\n",
+    "    ds = xr.Dataset.from_dataframe(df)\n",
+    "    ds.to_netcdf(filename.replace('.csv', '.nc'))\n",
+    "\n",
+    "# make one dataframe\n",
+    "df = pd.concat(li, axis=0, ignore_index=True)\n",
+    "\n",
+    "# Convert the pandas dataframe to an xarray dataset\n",
+    "ds = xr.Dataset.from_dataframe(df)\n",
+    "\n",
+    "# Write the xarray dataset to a netCDF file\n",
+    "ds.to_netcdf(dataset_dir.joinpath(\"SLP_MvS.nc\"))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
+       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
+       "  --xr-background-color: var(--jp-layout-color0, white);\n",
+       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
+       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
+       "}\n",
+       "\n",
+       "html[theme=dark],\n",
+       "body[data-theme=dark],\n",
+       "body.vscode-dark {\n",
+       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
+       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
+       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
+       "  --xr-border-color: #1F1F1F;\n",
+       "  --xr-disabled-color: #515151;\n",
+       "  --xr-background-color: #111111;\n",
+       "  --xr-background-color-row-even: #111111;\n",
+       "  --xr-background-color-row-odd: #313131;\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "  margin-bottom: 4px;\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-array-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: '►';\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: '▼';\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: ')';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: ',';\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
+       "Dimensions:  (index: 4)\n",
+       "Coordinates:\n",
+       "  * index    (index) int64 0 1 2 3\n",
+       "Data variables:\n",
+       "    years    (index) int64 ...\n",
+       "    low      (index) float64 ...\n",
+       "    median   (index) float64 ...\n",
+       "    high     (index) float64 ...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-aad1d91f-a256-429b-83f9-7dace8259efb' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-aad1d91f-a256-429b-83f9-7dace8259efb' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>index</span>: 4</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d1ded899-2e16-490f-b9f5-12d0099714bb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d1ded899-2e16-490f-b9f5-12d0099714bb' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>index</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3</div><input id='attrs-ec796957-36a9-4109-b82e-93dc1809eada' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ec796957-36a9-4109-b82e-93dc1809eada' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c8ee7c7b-8a30-4b5c-ab06-588fc2ec0e40' class='xr-var-data-in' type='checkbox'><label for='data-c8ee7c7b-8a30-4b5c-ab06-588fc2ec0e40' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3], dtype=int64)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cb364360-369f-47d7-9ed2-cb2e31c9b5f6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cb364360-369f-47d7-9ed2-cb2e31c9b5f6' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>years</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ae6590aa-8ce0-4dca-9d78-bc019c3c1b2f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ae6590aa-8ce0-4dca-9d78-bc019c3c1b2f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d35a6cee-3856-4e3c-b51f-aaf45b0315a9' class='xr-var-data-in' type='checkbox'><label for='data-d35a6cee-3856-4e3c-b51f-aaf45b0315a9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[4 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>low</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-13bd6eab-3e0f-4359-bbd7-200314537cff' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-13bd6eab-3e0f-4359-bbd7-200314537cff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3469525d-3575-41b2-9f06-a210e967800b' class='xr-var-data-in' type='checkbox'><label for='data-3469525d-3575-41b2-9f06-a210e967800b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[4 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>median</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0acaa5f6-c539-4c78-bcb7-8dc9825893ad' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0acaa5f6-c539-4c78-bcb7-8dc9825893ad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-53454575-2cf2-4026-a100-6f6dcf8b4226' class='xr-var-data-in' type='checkbox'><label for='data-53454575-2cf2-4026-a100-6f6dcf8b4226' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[4 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>high</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5ae36084-5ea7-4bee-9afa-44bb04943888' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5ae36084-5ea7-4bee-9afa-44bb04943888' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d86763de-701a-4b9e-9d37-bad58db9e0b8' class='xr-var-data-in' type='checkbox'><label for='data-d86763de-701a-4b9e-9d37-bad58db9e0b8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[4 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6ba20163-9f88-485c-8739-62be2000f119' class='xr-section-summary-in' type='checkbox'  ><label for='section-6ba20163-9f88-485c-8739-62be2000f119' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>index</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a56ca0fb-8706-4676-9f26-00249faf1112' class='xr-index-data-in' type='checkbox'/><label for='index-a56ca0fb-8706-4676-9f26-00249faf1112' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1, 2, 3], dtype=&#x27;int64&#x27;, name=&#x27;index&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3804035e-c133-46bd-980a-5777f7102a14' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3804035e-c133-46bd-980a-5777f7102a14' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset>\n",
+       "Dimensions:  (index: 4)\n",
+       "Coordinates:\n",
+       "  * index    (index) int64 0 1 2 3\n",
+       "Data variables:\n",
+       "    years    (index) int64 ...\n",
+       "    low      (index) float64 ...\n",
+       "    median   (index) float64 ...\n",
+       "    high     (index) float64 ..."
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# open datasets (only first file, rest is the same)\n",
+    "ds = xr.open_dataset(all_files[0].replace('.csv', '.nc'))\n",
+    "\n",
+    "# check original dataset\n",
+    "ds"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%%capture cap --no-stderr\n",
+    "# check original CF compliancy (for first file)\n",
+    "\n",
+    "check_compliancy(testfile=all_files[0].replace('.csv', '.nc'), \n",
+    "                 working_dir=CF_dir\n",
+    "                 )       "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'P:\\\\11205479-coclico\\\\FULLTRACK_DATA\\\\WP3\\\\pilot\\\\MSL_Genova_high_end.nc': {'warnings': '7', 'errors': '0'}}\n"
+     ]
+    }
+   ],
+   "source": [
+    "# save original CF compliancy (for first file)\n",
+    "save_compliancy(cap, testfile=all_files[0].replace('.csv', '.nc'), working_dir=CF_dir)          "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Make CF compliant alterations to the NetCDF files (dataset dependent)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# open datasets\n",
+    "ds_list = []\n",
+    "for i in all_files:\n",
+    "    ds_list.append(xr.open_dataset(i.replace('.csv', '.nc')))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import json\n",
+    "\n",
+    "# NetCDF attribute alterations by means of metadata template\n",
+    "f_global = open(gca_data_dir.joinpath(\"metadata\", \"metadata_SLP.json\"))\n",
+    "meta_global = json.load(f_global)\n",
+    "\n",
+    "for i in ds_list:\n",
+    "    for attr_name, attr_val in meta_global.items():\n",
+    "        if attr_name == 'PROVIDERS':\n",
+    "            attr_val = json.dumps(attr_val)\n",
+    "        i.attrs[attr_name] = attr_val\n",
+    "\n",
+    "    i.attrs['Conventions'] = \"CF-1.8\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# NetCDF variable and dimension alterations (per dataset)\n",
+    "ds_list_CF = []\n",
+    "ensemble_vars = [\"low\",\"median\",\"high\"]\n",
+    "\n",
+    "for i, j in zip(ds_list, all_files):\n",
+    "\n",
+    "    # extract values from xarray dataset and concatenate using numpy, then reshape to match dataset dimensions\n",
+    "    data_array = np.concatenate([i[var].values for var in ensemble_vars])\n",
+    "    data_array_r = data_array.reshape((len(ensemble_vars), len(i['low'].values)))\n",
+    "    \n",
+    "    # transform year data from integer to pd.time\n",
+    "    i = i.rename_vars({\"years\":\"time\"})\n",
+    "    i = i.set_coords(['time'])\n",
+    "    i = i.assign(time=('time', i['time'].values))\n",
+    "    \n",
+    "    # remove unconcatenated variables, to be filled in later using data_array_r\n",
+    "    i = i.drop(['index']+ensemble_vars)\n",
+    "\n",
+    "    # expand dimension with data variables\n",
+    "    i = i.assign(ensemble=(\"nensemble\", np.array(ensemble_vars, dtype=\"S\")))\n",
+    "    i = i.set_coords(\"ensemble\")\n",
+    " \n",
+    "    # # add reshaped data array to the xarray dataset\n",
+    "    i = i.assign(slr=([\"nensemble\", \"time\"], data_array_r))\n",
+    "\n",
+    "    # add or change certain variable / coordinate attributes\n",
+    "    dataset_attributes = {\n",
+    "        \"slr\": {\"long_name\": \"sea level projections\", \"units\": \"m\"},\n",
+    "        \"time\": {\"long_name\": \"time projections\", \"units\": \"yr\"},\n",
+    "        \"ensemble\": {\"long_name\": \"ensemble\", \"units\": \"1\"}, # set to 1 if no unit\n",
+    "    }  # specify custom (CF convention) attributes\n",
+    "\n",
+    "    # add / overwrite attributes\n",
+    "    for k, v in dataset_attributes.items():\n",
+    "        try:\n",
+    "            i[k].attrs = dataset_attributes[k]\n",
+    "        except:\n",
+    "            continue\n",
+    "\n",
+    "    i.to_netcdf(path=str(j).replace(\".csv\", \"_CF.nc\")) # save single CF compliant files\n",
+    "\n",
+    "    ds_list_CF.append(i)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
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+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
+       "Dimensions:  (index: 4)\n",
+       "Coordinates:\n",
+       "  * index    (index) int64 0 1 2 3\n",
+       "Data variables:\n",
+       "    years    (index) int64 ...\n",
+       "    low      (index) float64 0.07438 0.1807 0.5954 0.8804\n",
+       "    median   (index) float64 0.1196 0.2641 0.9028 2.012\n",
+       "    high     (index) float64 0.1777 0.4003 1.41 5.242\n",
+       "Attributes: (12/21)\n",
+       "    TITLE:               Sea level projections\n",
+       "    TITLE_ABBREVIATION:  slp\n",
+       "    DESCRIPTION:         to be done later...\n",
+       "    SHORT_DESCRIPTION:   to be done later...\n",
+       "    INSTITUTION:         to be done later...\n",
+       "    PROVIDERS:           {&quot;name&quot;: &quot;Deltares Test&quot;, &quot;url&quot;: &quot;https://www.deltar...\n",
+       "    ...                  ...\n",
+       "    DOI:                 to be done later...\n",
+       "    LONG_NAME:           SLP\n",
+       "    UNITS:               m\n",
+       "    COMMENT:             test is in the works\n",
+       "    CRS:                 EPSG:4326\n",
+       "    Conventions:         CF-1.8</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-e5e7be41-23c0-4386-be96-fc44eb2b440c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e5e7be41-23c0-4386-be96-fc44eb2b440c' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>index</span>: 4</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-92b6aacd-1713-451d-9af6-a746cf5a5f71' class='xr-section-summary-in' type='checkbox'  checked><label for='section-92b6aacd-1713-451d-9af6-a746cf5a5f71' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>index</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3</div><input id='attrs-7229846c-38a1-4433-a00a-2f22f8ab5bcb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7229846c-38a1-4433-a00a-2f22f8ab5bcb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d74da612-1c1f-4a8e-bf34-4bea26a2995e' class='xr-var-data-in' type='checkbox'><label for='data-d74da612-1c1f-4a8e-bf34-4bea26a2995e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3], dtype=int64)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bfe0dfc4-d450-4fef-91fb-c615636fab03' class='xr-section-summary-in' type='checkbox'  checked><label for='section-bfe0dfc4-d450-4fef-91fb-c615636fab03' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>years</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2ddd36ee-b342-402d-b5a8-ee224c3449ec' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2ddd36ee-b342-402d-b5a8-ee224c3449ec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4cbbee3e-5814-491c-9238-472c2b56f74e' class='xr-var-data-in' type='checkbox'><label for='data-4cbbee3e-5814-491c-9238-472c2b56f74e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[4 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>low</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.07438 0.1807 0.5954 0.8804</div><input id='attrs-1ba619c9-f6a3-4d90-a297-02155ffacf60' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1ba619c9-f6a3-4d90-a297-02155ffacf60' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b11ac07f-3b40-4ec6-be3f-d2bbe6fddf1d' class='xr-var-data-in' type='checkbox'><label for='data-b11ac07f-3b40-4ec6-be3f-d2bbe6fddf1d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.074376, 0.180742, 0.595442, 0.880355])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>median</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1196 0.2641 0.9028 2.012</div><input id='attrs-da39a3e6-a6f2-4016-b88e-e609db40987b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-da39a3e6-a6f2-4016-b88e-e609db40987b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-97f16f5e-bd59-4937-9d00-2ea22dfeb092' class='xr-var-data-in' type='checkbox'><label for='data-97f16f5e-bd59-4937-9d00-2ea22dfeb092' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.11957 , 0.264076, 0.902841, 2.011607])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>high</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1777 0.4003 1.41 5.242</div><input id='attrs-820e1834-0963-4076-9f39-0e924be9541a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-820e1834-0963-4076-9f39-0e924be9541a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-312e1b1a-2bb9-4d48-8449-191bae53986f' class='xr-var-data-in' type='checkbox'><label for='data-312e1b1a-2bb9-4d48-8449-191bae53986f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.177721, 0.400281, 1.410083, 5.241695])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1d40790a-b2b6-48c7-86a0-de4c48c64777' class='xr-section-summary-in' type='checkbox'  ><label for='section-1d40790a-b2b6-48c7-86a0-de4c48c64777' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>index</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4baad990-07ea-4acb-ae6a-bf7cbefc9448' class='xr-index-data-in' type='checkbox'/><label for='index-4baad990-07ea-4acb-ae6a-bf7cbefc9448' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1, 2, 3], dtype=&#x27;int64&#x27;, name=&#x27;index&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e065b6bd-192f-4c08-b0a2-a0a447ad97e8' class='xr-section-summary-in' type='checkbox'  ><label for='section-e065b6bd-192f-4c08-b0a2-a0a447ad97e8' class='xr-section-summary' >Attributes: <span>(21)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>TITLE :</span></dt><dd>Sea level projections</dd><dt><span>TITLE_ABBREVIATION :</span></dt><dd>slp</dd><dt><span>DESCRIPTION :</span></dt><dd>to be done later...</dd><dt><span>SHORT_DESCRIPTION :</span></dt><dd>to be done later...</dd><dt><span>INSTITUTION :</span></dt><dd>to be done later...</dd><dt><span>PROVIDERS :</span></dt><dd>{&quot;name&quot;: &quot;Deltares Test&quot;, &quot;url&quot;: &quot;https://www.deltares.nl&quot;, &quot;roles&quot;: &quot;provider&quot;, &quot;description&quot;: &quot;to be done later...&quot;}</dd><dt><span>HISTORY :</span></dt><dd>[&#x27;Deltares&#x27;]</dd><dt><span>MEDIA_TYPE :</span></dt><dd>TEXT/CSV</dd><dt><span>SPATIAL_EXTENT :</span></dt><dd>[-180, -90, 180, 90]</dd><dt><span>TEMPORAL_EXTENT :</span></dt><dd>[&#x27;2150-01-01T00:00:00Z&#x27;]</dd><dt><span>LICENSE :</span></dt><dd>to be done later...</dd><dt><span>AUTHOR :</span></dt><dd>to be done later...</dd><dt><span>KEYWORDS :</span></dt><dd>[&#x27;climate change&#x27;, &#x27;extreme sea level&#x27;, &#x27;deltas&#x27;]</dd><dt><span>TAGS :</span></dt><dd>[&#x27;climate change&#x27;, &#x27;extreme sea level&#x27;, &#x27;deltas&#x27;]</dd><dt><span>CITATION :</span></dt><dd>to be done later...</dd><dt><span>DOI :</span></dt><dd>to be done later...</dd><dt><span>LONG_NAME :</span></dt><dd>SLP</dd><dt><span>UNITS :</span></dt><dd>m</dd><dt><span>COMMENT :</span></dt><dd>test is in the works</dd><dt><span>CRS :</span></dt><dd>EPSG:4326</dd><dt><span>Conventions :</span></dt><dd>CF-1.8</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset>\n",
+       "Dimensions:  (index: 4)\n",
+       "Coordinates:\n",
+       "  * index    (index) int64 0 1 2 3\n",
+       "Data variables:\n",
+       "    years    (index) int64 ...\n",
+       "    low      (index) float64 0.07438 0.1807 0.5954 0.8804\n",
+       "    median   (index) float64 0.1196 0.2641 0.9028 2.012\n",
+       "    high     (index) float64 0.1777 0.4003 1.41 5.242\n",
+       "Attributes: (12/21)\n",
+       "    TITLE:               Sea level projections\n",
+       "    TITLE_ABBREVIATION:  slp\n",
+       "    DESCRIPTION:         to be done later...\n",
+       "    SHORT_DESCRIPTION:   to be done later...\n",
+       "    INSTITUTION:         to be done later...\n",
+       "    PROVIDERS:           {\"name\": \"Deltares Test\", \"url\": \"https://www.deltar...\n",
+       "    ...                  ...\n",
+       "    DOI:                 to be done later...\n",
+       "    LONG_NAME:           SLP\n",
+       "    UNITS:               m\n",
+       "    COMMENT:             test is in the works\n",
+       "    CRS:                 EPSG:4326\n",
+       "    Conventions:         CF-1.8"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds_list[0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
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+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
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+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
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+       "\n",
+       ".xr-var-dims {\n",
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+       ".xr-var-preview {\n",
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+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
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+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
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+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
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+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
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+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
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+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
+       "Dimensions:   (time: 4, nensemble: 3)\n",
+       "Coordinates:\n",
+       "  * time      (time) int64 2030 2050 2100 2150\n",
+       "    ensemble  (nensemble) |S6 b&#x27;low&#x27; b&#x27;median&#x27; b&#x27;high&#x27;\n",
+       "Dimensions without coordinates: nensemble\n",
+       "Data variables:\n",
+       "    slr       (nensemble, time) float64 0.07438 0.1807 0.5954 ... 1.41 5.242\n",
+       "Attributes: (12/21)\n",
+       "    TITLE:               Sea level projections\n",
+       "    TITLE_ABBREVIATION:  slp\n",
+       "    DESCRIPTION:         to be done later...\n",
+       "    SHORT_DESCRIPTION:   to be done later...\n",
+       "    INSTITUTION:         to be done later...\n",
+       "    PROVIDERS:           {&quot;name&quot;: &quot;Deltares Test&quot;, &quot;url&quot;: &quot;https://www.deltar...\n",
+       "    ...                  ...\n",
+       "    DOI:                 to be done later...\n",
+       "    LONG_NAME:           SLP\n",
+       "    UNITS:               m\n",
+       "    COMMENT:             test is in the works\n",
+       "    CRS:                 EPSG:4326\n",
+       "    Conventions:         CF-1.8</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-9094320e-8d27-48c6-96dd-6fdfeac68813' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9094320e-8d27-48c6-96dd-6fdfeac68813' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 4</li><li><span>nensemble</span>: 3</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-605956c5-1cde-48a2-be9c-12a569c81e47' class='xr-section-summary-in' type='checkbox'  checked><label for='section-605956c5-1cde-48a2-be9c-12a569c81e47' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>2030 2050 2100 2150</div><input id='attrs-c49630ff-d0a2-4004-b099-9353e959d2d4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c49630ff-d0a2-4004-b099-9353e959d2d4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a390fb6-f1da-4bcf-95e8-78a3f37379e8' class='xr-var-data-in' type='checkbox'><label for='data-3a390fb6-f1da-4bcf-95e8-78a3f37379e8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time projections</dd><dt><span>units :</span></dt><dd>yr</dd></dl></div><div class='xr-var-data'><pre>array([2030, 2050, 2100, 2150], dtype=int64)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ensemble</span></div><div class='xr-var-dims'>(nensemble)</div><div class='xr-var-dtype'>|S6</div><div class='xr-var-preview xr-preview'>b&#x27;low&#x27; b&#x27;median&#x27; b&#x27;high&#x27;</div><input id='attrs-e0c0c751-0bd4-4505-a0b3-0f49d9627424' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e0c0c751-0bd4-4505-a0b3-0f49d9627424' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-845bd678-0990-43b4-b33e-c66567d544af' class='xr-var-data-in' type='checkbox'><label for='data-845bd678-0990-43b4-b33e-c66567d544af' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ensemble</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;low&#x27;, b&#x27;median&#x27;, b&#x27;high&#x27;], dtype=&#x27;|S6&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8a9dc94f-364f-4fb5-8aeb-99cdd2caa18f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8a9dc94f-364f-4fb5-8aeb-99cdd2caa18f' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>slr</span></div><div class='xr-var-dims'>(nensemble, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.07438 0.1807 ... 1.41 5.242</div><input id='attrs-fb3ab4bc-6316-4a43-a0dd-7ed829b2c824' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fb3ab4bc-6316-4a43-a0dd-7ed829b2c824' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a5149ef3-80ea-4014-959e-831d274c07f7' class='xr-var-data-in' type='checkbox'><label for='data-a5149ef3-80ea-4014-959e-831d274c07f7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea level projections</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([[0.07437646, 0.18074177, 0.5954425 , 0.88035513],\n",
+       "       [0.11957024, 0.26407631, 0.90284148, 2.01160665],\n",
+       "       [0.17772071, 0.40028073, 1.41008318, 5.24169474]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1c41c542-8d87-427c-b5b0-49dfb9ccf498' class='xr-section-summary-in' type='checkbox'  ><label for='section-1c41c542-8d87-427c-b5b0-49dfb9ccf498' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-935f0d37-bf79-4c05-afe1-0110dce94437' class='xr-index-data-in' type='checkbox'/><label for='index-935f0d37-bf79-4c05-afe1-0110dce94437' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([2030, 2050, 2100, 2150], dtype=&#x27;int64&#x27;, name=&#x27;time&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5be9bfa8-0dba-4ce4-91db-fd812d324d52' class='xr-section-summary-in' type='checkbox'  ><label for='section-5be9bfa8-0dba-4ce4-91db-fd812d324d52' class='xr-section-summary' >Attributes: <span>(21)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>TITLE :</span></dt><dd>Sea level projections</dd><dt><span>TITLE_ABBREVIATION :</span></dt><dd>slp</dd><dt><span>DESCRIPTION :</span></dt><dd>to be done later...</dd><dt><span>SHORT_DESCRIPTION :</span></dt><dd>to be done later...</dd><dt><span>INSTITUTION :</span></dt><dd>to be done later...</dd><dt><span>PROVIDERS :</span></dt><dd>{&quot;name&quot;: &quot;Deltares Test&quot;, &quot;url&quot;: &quot;https://www.deltares.nl&quot;, &quot;roles&quot;: &quot;provider&quot;, &quot;description&quot;: &quot;to be done later...&quot;}</dd><dt><span>HISTORY :</span></dt><dd>[&#x27;Deltares&#x27;]</dd><dt><span>MEDIA_TYPE :</span></dt><dd>TEXT/CSV</dd><dt><span>SPATIAL_EXTENT :</span></dt><dd>[-180, -90, 180, 90]</dd><dt><span>TEMPORAL_EXTENT :</span></dt><dd>[&#x27;2150-01-01T00:00:00Z&#x27;]</dd><dt><span>LICENSE :</span></dt><dd>to be done later...</dd><dt><span>AUTHOR :</span></dt><dd>to be done later...</dd><dt><span>KEYWORDS :</span></dt><dd>[&#x27;climate change&#x27;, &#x27;extreme sea level&#x27;, &#x27;deltas&#x27;]</dd><dt><span>TAGS :</span></dt><dd>[&#x27;climate change&#x27;, &#x27;extreme sea level&#x27;, &#x27;deltas&#x27;]</dd><dt><span>CITATION :</span></dt><dd>to be done later...</dd><dt><span>DOI :</span></dt><dd>to be done later...</dd><dt><span>LONG_NAME :</span></dt><dd>SLP</dd><dt><span>UNITS :</span></dt><dd>m</dd><dt><span>COMMENT :</span></dt><dd>test is in the works</dd><dt><span>CRS :</span></dt><dd>EPSG:4326</dd><dt><span>Conventions :</span></dt><dd>CF-1.8</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset>\n",
+       "Dimensions:   (time: 4, nensemble: 3)\n",
+       "Coordinates:\n",
+       "  * time      (time) int64 2030 2050 2100 2150\n",
+       "    ensemble  (nensemble) |S6 b'low' b'median' b'high'\n",
+       "Dimensions without coordinates: nensemble\n",
+       "Data variables:\n",
+       "    slr       (nensemble, time) float64 0.07438 0.1807 0.5954 ... 1.41 5.242\n",
+       "Attributes: (12/21)\n",
+       "    TITLE:               Sea level projections\n",
+       "    TITLE_ABBREVIATION:  slp\n",
+       "    DESCRIPTION:         to be done later...\n",
+       "    SHORT_DESCRIPTION:   to be done later...\n",
+       "    INSTITUTION:         to be done later...\n",
+       "    PROVIDERS:           {\"name\": \"Deltares Test\", \"url\": \"https://www.deltar...\n",
+       "    ...                  ...\n",
+       "    DOI:                 to be done later...\n",
+       "    LONG_NAME:           SLP\n",
+       "    UNITS:               m\n",
+       "    COMMENT:             test is in the works\n",
+       "    CRS:                 EPSG:4326\n",
+       "    Conventions:         CF-1.8"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds_list_CF[0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
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+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: '►';\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: '▼';\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: ')';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: ',';\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;slr&#x27; (nensemble: 3, time: 4)&gt;\n",
+       "array([[0.07437646, 0.18074177, 0.5954425 , 0.88035513],\n",
+       "       [0.11957024, 0.26407631, 0.90284148, 2.01160665],\n",
+       "       [0.17772071, 0.40028073, 1.41008318, 5.24169474]])\n",
+       "Coordinates:\n",
+       "  * time      (time) int64 2030 2050 2100 2150\n",
+       "    ensemble  (nensemble) |S6 b&#x27;low&#x27; b&#x27;median&#x27; b&#x27;high&#x27;\n",
+       "Dimensions without coordinates: nensemble\n",
+       "Attributes:\n",
+       "    long_name:  sea level projections\n",
+       "    units:      m</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'slr'</div><ul class='xr-dim-list'><li><span>nensemble</span>: 3</li><li><span class='xr-has-index'>time</span>: 4</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-29099407-9317-47a6-af5b-4b5572f8325a' class='xr-array-in' type='checkbox' checked><label for='section-29099407-9317-47a6-af5b-4b5572f8325a' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.07438 0.1807 0.5954 0.8804 0.1196 ... 2.012 0.1777 0.4003 1.41 5.242</span></div><div class='xr-array-data'><pre>array([[0.07437646, 0.18074177, 0.5954425 , 0.88035513],\n",
+       "       [0.11957024, 0.26407631, 0.90284148, 2.01160665],\n",
+       "       [0.17772071, 0.40028073, 1.41008318, 5.24169474]])</pre></div></div></li><li class='xr-section-item'><input id='section-acec8504-6bdf-44b4-95b9-6b7d747a5455' class='xr-section-summary-in' type='checkbox'  checked><label for='section-acec8504-6bdf-44b4-95b9-6b7d747a5455' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>2030 2050 2100 2150</div><input id='attrs-368cec98-7253-488b-8c5f-427a794976d2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-368cec98-7253-488b-8c5f-427a794976d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-761313f0-85e6-447f-86ac-63cf0f0e1078' class='xr-var-data-in' type='checkbox'><label for='data-761313f0-85e6-447f-86ac-63cf0f0e1078' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time projections</dd><dt><span>units :</span></dt><dd>yr</dd></dl></div><div class='xr-var-data'><pre>array([2030, 2050, 2100, 2150], dtype=int64)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ensemble</span></div><div class='xr-var-dims'>(nensemble)</div><div class='xr-var-dtype'>|S6</div><div class='xr-var-preview xr-preview'>b&#x27;low&#x27; b&#x27;median&#x27; b&#x27;high&#x27;</div><input id='attrs-4a59e712-8bce-4896-b757-25102a7a3927' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4a59e712-8bce-4896-b757-25102a7a3927' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ef79226-9fc1-499a-b089-60f0d1353af8' class='xr-var-data-in' type='checkbox'><label for='data-2ef79226-9fc1-499a-b089-60f0d1353af8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ensemble</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;low&#x27;, b&#x27;median&#x27;, b&#x27;high&#x27;], dtype=&#x27;|S6&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c8251672-f25e-48d3-9676-501e525ab6a7' class='xr-section-summary-in' type='checkbox'  ><label for='section-c8251672-f25e-48d3-9676-501e525ab6a7' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e7d6eb1d-4c9f-429c-bfe6-37d704b9ed2e' class='xr-index-data-in' type='checkbox'/><label for='index-e7d6eb1d-4c9f-429c-bfe6-37d704b9ed2e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([2030, 2050, 2100, 2150], dtype=&#x27;int64&#x27;, name=&#x27;time&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-53f50bf5-7e9f-4590-a735-bf1aad6eb32d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-53f50bf5-7e9f-4590-a735-bf1aad6eb32d' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea level projections</dd><dt><span>units :</span></dt><dd>m</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.DataArray 'slr' (nensemble: 3, time: 4)>\n",
+       "array([[0.07437646, 0.18074177, 0.5954425 , 0.88035513],\n",
+       "       [0.11957024, 0.26407631, 0.90284148, 2.01160665],\n",
+       "       [0.17772071, 0.40028073, 1.41008318, 5.24169474]])\n",
+       "Coordinates:\n",
+       "  * time      (time) int64 2030 2050 2100 2150\n",
+       "    ensemble  (nensemble) |S6 b'low' b'median' b'high'\n",
+       "Dimensions without coordinates: nensemble\n",
+       "Attributes:\n",
+       "    long_name:  sea level projections\n",
+       "    units:      m"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds_list_CF[0][\"slr\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+       "\n",
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+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;slr&#x27; (nensemble: 3)&gt;\n",
+       "array([0.18074177, 0.26407631, 0.40028073])\n",
+       "Coordinates:\n",
+       "    time      int64 2050\n",
+       "    ensemble  (nensemble) |S6 b&#x27;low&#x27; b&#x27;median&#x27; b&#x27;high&#x27;\n",
+       "Dimensions without coordinates: nensemble\n",
+       "Attributes:\n",
+       "    long_name:  sea level projections\n",
+       "    units:      m</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'slr'</div><ul class='xr-dim-list'><li><span>nensemble</span>: 3</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-8bf3b208-3cfd-44db-8dc1-56341b9b0446' class='xr-array-in' type='checkbox' checked><label for='section-8bf3b208-3cfd-44db-8dc1-56341b9b0446' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.1807 0.2641 0.4003</span></div><div class='xr-array-data'><pre>array([0.18074177, 0.26407631, 0.40028073])</pre></div></div></li><li class='xr-section-item'><input id='section-492cdc42-1560-4e64-9da7-444cae33c56f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-492cdc42-1560-4e64-9da7-444cae33c56f' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>2050</div><input id='attrs-8c8d7868-8f1e-46bf-b893-aa030075e2f3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8c8d7868-8f1e-46bf-b893-aa030075e2f3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aaccfc83-8642-4777-b051-691720869ddf' class='xr-var-data-in' type='checkbox'><label for='data-aaccfc83-8642-4777-b051-691720869ddf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time projections</dd><dt><span>units :</span></dt><dd>yr</dd></dl></div><div class='xr-var-data'><pre>array(2050, dtype=int64)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ensemble</span></div><div class='xr-var-dims'>(nensemble)</div><div class='xr-var-dtype'>|S6</div><div class='xr-var-preview xr-preview'>b&#x27;low&#x27; b&#x27;median&#x27; b&#x27;high&#x27;</div><input id='attrs-ae457e5a-1dfc-468e-a87d-3e41b107c30b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ae457e5a-1dfc-468e-a87d-3e41b107c30b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3102d94e-4fe6-4b05-93cf-92f5aba0f7ac' class='xr-var-data-in' type='checkbox'><label for='data-3102d94e-4fe6-4b05-93cf-92f5aba0f7ac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ensemble</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;low&#x27;, b&#x27;median&#x27;, b&#x27;high&#x27;], dtype=&#x27;|S6&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e24617e3-0b71-4c70-a88c-e0f066d3d6ae' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e24617e3-0b71-4c70-a88c-e0f066d3d6ae' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-b99f5c65-3a76-48b1-b08b-ff19c1df67e5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b99f5c65-3a76-48b1-b08b-ff19c1df67e5' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea level projections</dd><dt><span>units :</span></dt><dd>m</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.DataArray 'slr' (nensemble: 3)>\n",
+       "array([0.18074177, 0.26407631, 0.40028073])\n",
+       "Coordinates:\n",
+       "    time      int64 2050\n",
+       "    ensemble  (nensemble) |S6 b'low' b'median' b'high'\n",
+       "Dimensions without coordinates: nensemble\n",
+       "Attributes:\n",
+       "    long_name:  sea level projections\n",
+       "    units:      m"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds_list_CF[0][\"slr\"].sel(time=2050)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "MSL_Genova_high_end_CF.nc\n",
+      "MSL_Genova_ssp126_CF.nc\n",
+      "MSL_Genova_ssp245_CF.nc\n",
+      "MSL_Genova_ssp585_CF.nc\n",
+      "MSL_LaRochelle_high_end_CF.nc\n",
+      "MSL_LaRochelle_ssp126_CF.nc\n",
+      "MSL_LaRochelle_ssp245_CF.nc\n",
+      "MSL_LaRochelle_ssp585_CF.nc\n",
+      "MSL_SanSebastian_high_end_CF.nc\n",
+      "MSL_SanSebastian_ssp126_CF.nc\n",
+      "MSL_SanSebastian_ssp245_CF.nc\n",
+      "MSL_SanSebastian_ssp585_CF.nc\n",
+      "MSL_Valencia_high_end_CF.nc\n",
+      "MSL_Valencia_ssp126_CF.nc\n",
+      "MSL_Valencia_ssp245_CF.nc\n",
+      "MSL_Valencia_ssp585_CF.nc\n"
+     ]
+    }
+   ],
+   "source": [
+    "# List all files that end with '_CF.nc'\n",
+    "CF_files = [f for f in os.listdir(dataset_dir) if f.endswith('_CF.nc') and f.startswith(\"MSL\")]\n",
+    "\n",
+    "# Extract unique locations and climate projection scenario's (ssps)\n",
+    "locs = list(np.unique([f.split('_')[1] for f in CF_files]))\n",
+    "ssps = list(np.unique([f.split('_')[2] for f in CF_files]))\n",
+    "\n",
+    "ds_list_CF_merge1 = []\n",
+    "for loc in locs:\n",
+    "    ds_ls = []\n",
+    "    for ds, CF_file in zip(ds_list_CF, CF_files):\n",
+    "        if loc in CF_file:\n",
+    "            print(CF_file)\n",
+    "            ds_ls.append(ds)\n",
+    "    ds_list_CF_merge1.append(ds_ls)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ds_list_CF_merge2 = []\n",
+    "for ds_lists, loc in zip(ds_list_CF_merge1, locs):\n",
+    "    ds = xr.concat(ds_lists, dim='nscenarios')\n",
+    "    ds = ds.assign(scenarios=([\"nscenarios\"], np.array(ssps, dtype=\"S\")))\n",
+    "    ds = ds.set_coords(\"scenarios\")\n",
+    "    \n",
+    "    # add or change certain variable / coordinate attributes\n",
+    "    dataset_attributes = {\"scenarios\": {\"long_name\": \"shared socioeconomic pathways\", \"units\": \"1\"} # set to 1 if no unit\n",
+    "        }  # specify custom (CF convention) attributes\n",
+    "    \n",
+    "    # add / overwrite attributes\n",
+    "    for k, v in dataset_attributes.items():\n",
+    "        try:\n",
+    "                ds[k].attrs = dataset_attributes[k]\n",
+    "        except:\n",
+    "                continue\n",
+    "    \n",
+    "    ds_list_CF_merge2.append(ds)\n",
+    "\n",
+    "# merge areas\n",
+    "ds_CF_merge = xr.concat(ds_list_CF_merge2, dim=\"nstations\")\n",
+    "ds_CF_merge = ds_CF_merge.assign(stations=([\"nstations\"], np.array(locs, dtype=\"S\")))\n",
+    "ds_CF_merge = ds_CF_merge.set_coords(\"stations\")\n",
+    "\n",
+    "# Add coordinates of location (lat,lon)\n",
+    "lat = [44, 46, 43.5, 39.5]\n",
+    "lon = [9, -1.5, -2, 0]\n",
+    "\n",
+    "ds_CF_merge = ds_CF_merge.assign_coords(lat=(\"nstations\",lat))\n",
+    "ds_CF_merge = ds_CF_merge.assign_coords(lon=(\"nstations\",lon))\n",
+    "\n",
+    "dataset_attributes = {\"stations\": {\"long_name\": \"stations\", \"units\": \"1\"},\n",
+    "                      \"lat\": {\"standard_name\": \"latitude\", \"units\": \"degrees_north\"},\n",
+    "                      \"lon\": {\"standard_name\": \"longitude\", \"units\": \"degrees_east\"} \n",
+    "        }  # specify custom (CF convention) attributes\n",
+    "\n",
+    "for k, v in dataset_attributes.items():\n",
+    "        try:\n",
+    "                ds_CF_merge[k].attrs = dataset_attributes[k]\n",
+    "        except:\n",
+    "                continue"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
+       "Dimensions:    (time: 4, nensemble: 3, nstations: 4, nscenarios: 4)\n",
+       "Coordinates:\n",
+       "  * time       (time) int64 2030 2050 2100 2150\n",
+       "    ensemble   (nensemble) |S6 b&#x27;low&#x27; b&#x27;median&#x27; b&#x27;high&#x27;\n",
+       "    scenarios  (nscenarios) |S6 b&#x27;high&#x27; b&#x27;ssp126&#x27; b&#x27;ssp245&#x27; b&#x27;ssp585&#x27;\n",
+       "    stations   (nstations) |S12 b&#x27;Genova&#x27; b&#x27;LaRochelle&#x27; ... b&#x27;Valencia&#x27;\n",
+       "    lat        (nstations) float64 44.0 46.0 43.5 39.5\n",
+       "    lon        (nstations) float64 9.0 -1.5 -2.0 0.0\n",
+       "Dimensions without coordinates: nensemble, nstations, nscenarios\n",
+       "Data variables:\n",
+       "    slr        (nstations, nscenarios, nensemble, time) float64 0.07438 ... 1...\n",
+       "Attributes: (12/21)\n",
+       "    TITLE:               Sea level projections\n",
+       "    TITLE_ABBREVIATION:  slp\n",
+       "    DESCRIPTION:         to be done later...\n",
+       "    SHORT_DESCRIPTION:   to be done later...\n",
+       "    INSTITUTION:         to be done later...\n",
+       "    PROVIDERS:           {&quot;name&quot;: &quot;Deltares Test&quot;, &quot;url&quot;: &quot;https://www.deltar...\n",
+       "    ...                  ...\n",
+       "    DOI:                 to be done later...\n",
+       "    LONG_NAME:           SLP\n",
+       "    UNITS:               m\n",
+       "    COMMENT:             test is in the works\n",
+       "    CRS:                 EPSG:4326\n",
+       "    Conventions:         CF-1.8</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-13056467-f897-4e9d-b4c6-741b469d59ec' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-13056467-f897-4e9d-b4c6-741b469d59ec' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 4</li><li><span>nensemble</span>: 3</li><li><span>nstations</span>: 4</li><li><span>nscenarios</span>: 4</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-35b9af04-f613-4901-b462-6ba1db2de31e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-35b9af04-f613-4901-b462-6ba1db2de31e' class='xr-section-summary' >Coordinates: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>2030 2050 2100 2150</div><input id='attrs-6d93edb8-f620-47cc-8e13-56831ad09c63' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6d93edb8-f620-47cc-8e13-56831ad09c63' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b0189a08-dee1-456b-928c-a08d5d792016' class='xr-var-data-in' type='checkbox'><label for='data-b0189a08-dee1-456b-928c-a08d5d792016' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time projections</dd><dt><span>units :</span></dt><dd>yr</dd></dl></div><div class='xr-var-data'><pre>array([2030, 2050, 2100, 2150], dtype=int64)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ensemble</span></div><div class='xr-var-dims'>(nensemble)</div><div class='xr-var-dtype'>|S6</div><div class='xr-var-preview xr-preview'>b&#x27;low&#x27; b&#x27;median&#x27; b&#x27;high&#x27;</div><input id='attrs-3de6c698-fffa-4002-adc5-6d080897bbd6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3de6c698-fffa-4002-adc5-6d080897bbd6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fa60d560-8934-445c-b3f4-be5c4abacece' class='xr-var-data-in' type='checkbox'><label for='data-fa60d560-8934-445c-b3f4-be5c4abacece' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ensemble</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;low&#x27;, b&#x27;median&#x27;, b&#x27;high&#x27;], dtype=&#x27;|S6&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>scenarios</span></div><div class='xr-var-dims'>(nscenarios)</div><div class='xr-var-dtype'>|S6</div><div class='xr-var-preview xr-preview'>b&#x27;high&#x27; b&#x27;ssp126&#x27; ... b&#x27;ssp585&#x27;</div><input id='attrs-11177c3e-79bf-4d10-b05e-d4b8f92efc59' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-11177c3e-79bf-4d10-b05e-d4b8f92efc59' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aadb3c44-ddd3-437c-bd1d-08df85d5476b' class='xr-var-data-in' type='checkbox'><label for='data-aadb3c44-ddd3-437c-bd1d-08df85d5476b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>shared socioeconomic pathways</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;high&#x27;, b&#x27;ssp126&#x27;, b&#x27;ssp245&#x27;, b&#x27;ssp585&#x27;], dtype=&#x27;|S6&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>stations</span></div><div class='xr-var-dims'>(nstations)</div><div class='xr-var-dtype'>|S12</div><div class='xr-var-preview xr-preview'>b&#x27;Genova&#x27; ... b&#x27;Valencia&#x27;</div><input id='attrs-9e88e213-9942-482d-b73d-89f8a61973bd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9e88e213-9942-482d-b73d-89f8a61973bd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aec35188-9d2c-4fe8-a5da-9bc454fd93a0' class='xr-var-data-in' type='checkbox'><label for='data-aec35188-9d2c-4fe8-a5da-9bc454fd93a0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>stations</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;Genova&#x27;, b&#x27;LaRochelle&#x27;, b&#x27;SanSebastian&#x27;, b&#x27;Valencia&#x27;],\n",
+       "      dtype=&#x27;|S12&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(nstations)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>44.0 46.0 43.5 39.5</div><input id='attrs-4236373e-d064-48d1-89ee-ad09b87a3ab8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4236373e-d064-48d1-89ee-ad09b87a3ab8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1bca23c7-64ce-45f0-af91-d4f438eb2d17' class='xr-var-data-in' type='checkbox'><label for='data-1bca23c7-64ce-45f0-af91-d4f438eb2d17' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([44. , 46. , 43.5, 39.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(nstations)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>9.0 -1.5 -2.0 0.0</div><input id='attrs-303eacef-e742-439b-9f30-23f51970628b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-303eacef-e742-439b-9f30-23f51970628b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8688ab5c-a86f-409e-9914-36cc44db8385' class='xr-var-data-in' type='checkbox'><label for='data-8688ab5c-a86f-409e-9914-36cc44db8385' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([ 9. , -1.5, -2. ,  0. ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0e68a04e-bbb6-4f98-add9-9a83cd60c60c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0e68a04e-bbb6-4f98-add9-9a83cd60c60c' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>slr</span></div><div class='xr-var-dims'>(nstations, nscenarios, nensemble, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.07438 0.1807 ... 1.072 1.929</div><input id='attrs-584d1475-d0b2-43e1-a8d2-43ada932e2b6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-584d1475-d0b2-43e1-a8d2-43ada932e2b6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-13093071-86cb-472a-ad37-62ec9dec6471' class='xr-var-data-in' type='checkbox'><label for='data-13093071-86cb-472a-ad37-62ec9dec6471' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea level projections</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([[[[0.07437646, 0.18074177, 0.5954425 , 0.88035513],\n",
+       "         [0.11957024, 0.26407631, 0.90284148, 2.01160665],\n",
+       "         [0.17772071, 0.40028073, 1.41008318, 5.24169474]],\n",
+       "\n",
+       "        [[0.06440561, 0.14773355, 0.32510475, 0.41863393],\n",
+       "         [0.11757024, 0.22907631, 0.49184148, 0.71160665],\n",
+       "         [0.17671817, 0.32536569, 0.71140044, 1.10832446]],\n",
+       "\n",
+       "        [[0.07538066, 0.16173355, 0.42815805, 0.60379471],\n",
+       "         [0.12157024, 0.24307631, 0.60784148, 0.95460665],\n",
+       "         [0.1727413 , 0.33936569, 0.85433922, 1.44019292]],\n",
+       "\n",
+       "        [[0.07537208, 0.18372491, 0.59524735, 0.87996052],\n",
+       "         [0.11957024, 0.26307631, 0.80184148, 1.32060665],\n",
+       "         [0.16974471, 0.36036271, 1.10424706, 1.96304966]]],\n",
+       "\n",
+       "\n",
+       "       [[[0.07114866, 0.18052936, 0.58078776, 0.86019933],\n",
+       "         [0.1143078 , 0.25482372, 0.87611353, 1.95440333],\n",
+       "         [0.17043009, 0.38199547, 1.36531012, 5.08447464]],\n",
+       "...\n",
+       "        [[0.07022395, 0.17773613, 0.57517845, 0.85773841],\n",
+       "         [0.11336455, 0.25000341, 0.77660057, 1.28719773],\n",
+       "         [0.16149054, 0.34021738, 1.06989031, 1.90951462]]],\n",
+       "\n",
+       "\n",
+       "       [[[0.07835564, 0.17955995, 0.59927598, 0.90213543],\n",
+       "         [0.1214865 , 0.25778963, 0.89054746, 1.9823053 ],\n",
+       "         [0.17758704, 0.39591958, 1.42769463, 5.04436521]],\n",
+       "\n",
+       "        [[0.06937162, 0.14055697, 0.31602145, 0.41761903],\n",
+       "         [0.1184865 , 0.21778963, 0.46654746, 0.6853053 ],\n",
+       "         [0.17259075, 0.30998444, 0.67093454, 1.05480217]],\n",
+       "\n",
+       "        [[0.07736144, 0.15854427, 0.41307765, 0.59674811],\n",
+       "         [0.1224865 , 0.23178963, 0.58154746, 0.9263053 ],\n",
+       "         [0.17259907, 0.32099099, 0.81987933, 1.39269884]],\n",
+       "\n",
+       "        [[0.08034586, 0.18354087, 0.59912527, 0.90186022],\n",
+       "         [0.1204865 , 0.25578963, 0.78654746, 1.3143053 ],\n",
+       "         [0.16760624, 0.34598876, 1.07182466, 1.92860403]]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9c6744d4-36b1-4e1d-8eee-2913bd7fbf2a' class='xr-section-summary-in' type='checkbox'  ><label for='section-9c6744d4-36b1-4e1d-8eee-2913bd7fbf2a' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ce420f5e-28e2-4ece-a8bb-d8a26ee11e9c' class='xr-index-data-in' type='checkbox'/><label for='index-ce420f5e-28e2-4ece-a8bb-d8a26ee11e9c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([2030, 2050, 2100, 2150], dtype=&#x27;int64&#x27;, name=&#x27;time&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8dfa360e-dd0a-43e6-9a29-c997e8a8268a' class='xr-section-summary-in' type='checkbox'  ><label for='section-8dfa360e-dd0a-43e6-9a29-c997e8a8268a' class='xr-section-summary' >Attributes: <span>(21)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>TITLE :</span></dt><dd>Sea level projections</dd><dt><span>TITLE_ABBREVIATION :</span></dt><dd>slp</dd><dt><span>DESCRIPTION :</span></dt><dd>to be done later...</dd><dt><span>SHORT_DESCRIPTION :</span></dt><dd>to be done later...</dd><dt><span>INSTITUTION :</span></dt><dd>to be done later...</dd><dt><span>PROVIDERS :</span></dt><dd>{&quot;name&quot;: &quot;Deltares Test&quot;, &quot;url&quot;: &quot;https://www.deltares.nl&quot;, &quot;roles&quot;: &quot;provider&quot;, &quot;description&quot;: &quot;to be done later...&quot;}</dd><dt><span>HISTORY :</span></dt><dd>[&#x27;Deltares&#x27;]</dd><dt><span>MEDIA_TYPE :</span></dt><dd>TEXT/CSV</dd><dt><span>SPATIAL_EXTENT :</span></dt><dd>[-180, -90, 180, 90]</dd><dt><span>TEMPORAL_EXTENT :</span></dt><dd>[&#x27;2150-01-01T00:00:00Z&#x27;]</dd><dt><span>LICENSE :</span></dt><dd>to be done later...</dd><dt><span>AUTHOR :</span></dt><dd>to be done later...</dd><dt><span>KEYWORDS :</span></dt><dd>[&#x27;climate change&#x27;, &#x27;extreme sea level&#x27;, &#x27;deltas&#x27;]</dd><dt><span>TAGS :</span></dt><dd>[&#x27;climate change&#x27;, &#x27;extreme sea level&#x27;, &#x27;deltas&#x27;]</dd><dt><span>CITATION :</span></dt><dd>to be done later...</dd><dt><span>DOI :</span></dt><dd>to be done later...</dd><dt><span>LONG_NAME :</span></dt><dd>SLP</dd><dt><span>UNITS :</span></dt><dd>m</dd><dt><span>COMMENT :</span></dt><dd>test is in the works</dd><dt><span>CRS :</span></dt><dd>EPSG:4326</dd><dt><span>Conventions :</span></dt><dd>CF-1.8</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset>\n",
+       "Dimensions:    (time: 4, nensemble: 3, nstations: 4, nscenarios: 4)\n",
+       "Coordinates:\n",
+       "  * time       (time) int64 2030 2050 2100 2150\n",
+       "    ensemble   (nensemble) |S6 b'low' b'median' b'high'\n",
+       "    scenarios  (nscenarios) |S6 b'high' b'ssp126' b'ssp245' b'ssp585'\n",
+       "    stations   (nstations) |S12 b'Genova' b'LaRochelle' ... b'Valencia'\n",
+       "    lat        (nstations) float64 44.0 46.0 43.5 39.5\n",
+       "    lon        (nstations) float64 9.0 -1.5 -2.0 0.0\n",
+       "Dimensions without coordinates: nensemble, nstations, nscenarios\n",
+       "Data variables:\n",
+       "    slr        (nstations, nscenarios, nensemble, time) float64 0.07438 ... 1...\n",
+       "Attributes: (12/21)\n",
+       "    TITLE:               Sea level projections\n",
+       "    TITLE_ABBREVIATION:  slp\n",
+       "    DESCRIPTION:         to be done later...\n",
+       "    SHORT_DESCRIPTION:   to be done later...\n",
+       "    INSTITUTION:         to be done later...\n",
+       "    PROVIDERS:           {\"name\": \"Deltares Test\", \"url\": \"https://www.deltar...\n",
+       "    ...                  ...\n",
+       "    DOI:                 to be done later...\n",
+       "    LONG_NAME:           SLP\n",
+       "    UNITS:               m\n",
+       "    COMMENT:             test is in the works\n",
+       "    CRS:                 EPSG:4326\n",
+       "    Conventions:         CF-1.8"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds_CF_merge"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# write to NetCDF file to check compliancy\n",
+    "\n",
+    "# prevent file locking, see: https://github.com/pydata/xarray/issues/2376\n",
+    "import os\n",
+    "os.environ['HDF5_USE_FILE_LOCKING'] = 'FALSE'\n",
+    "\n",
+    "ds_CF_merge.to_netcdf(path=str(dataset_dir_path).replace(\".nc\", \"_CF.nc\"))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%%capture cap --no-stderr\n",
+    "\n",
+    "# check altered CF compliancy\n",
+    "check_compliancy(testfile=str(dataset_dir_path).replace(\".nc\", \"_CF.nc\"), working_dir=CF_dir)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'P:\\\\11205479-coclico\\\\FULLTRACK_DATA\\\\WP3\\\\pilot\\\\SLP_MvS_CF.nc': {'warnings': '0', 'errors': '0'}}\n"
+     ]
+    }
+   ],
+   "source": [
+    "# save original CF compliancy (for first file)\n",
+    "save_compliancy(cap, testfile=str(dataset_dir_path).replace(\".nc\", \"_CF.nc\"), working_dir=CF_dir)   "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<xarray.backends.zarr.ZarrStore at 0x2496a108c10>"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# export to zarr in write mode (to overwrite if exists)\n",
+    "ds_CF_merge.to_zarr(dataset_dir.joinpath(\"%s.zarr\" % ds_out_file), mode=\"w\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# check\n",
+    "check = xr.open_zarr(dataset_dir.joinpath(\"%s.zarr\" % ds_out_file))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       "body[data-theme=dark],\n",
+       "body.vscode-dark {\n",
+       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
+       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
+       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
+       "  --xr-border-color: #1F1F1F;\n",
+       "  --xr-disabled-color: #515151;\n",
+       "  --xr-background-color: #111111;\n",
+       "  --xr-background-color-row-even: #111111;\n",
+       "  --xr-background-color-row-odd: #313131;\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "  margin-bottom: 4px;\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-array-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: '►';\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: '▼';\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: ')';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: ',';\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
+       "Dimensions:    (nensemble: 3, nstations: 4, nscenarios: 4, time: 4)\n",
+       "Coordinates:\n",
+       "    ensemble   (nensemble) |S6 dask.array&lt;chunksize=(3,), meta=np.ndarray&gt;\n",
+       "    lat        (nstations) float64 dask.array&lt;chunksize=(4,), meta=np.ndarray&gt;\n",
+       "    lon        (nstations) float64 dask.array&lt;chunksize=(4,), meta=np.ndarray&gt;\n",
+       "    scenarios  (nscenarios) |S6 dask.array&lt;chunksize=(4,), meta=np.ndarray&gt;\n",
+       "    stations   (nstations) |S12 dask.array&lt;chunksize=(4,), meta=np.ndarray&gt;\n",
+       "  * time       (time) int64 2030 2050 2100 2150\n",
+       "Dimensions without coordinates: nensemble, nstations, nscenarios\n",
+       "Data variables:\n",
+       "    slr        (nstations, nscenarios, nensemble, time) float64 dask.array&lt;chunksize=(4, 4, 3, 4), meta=np.ndarray&gt;\n",
+       "Attributes: (12/21)\n",
+       "    AUTHOR:              to be done later...\n",
+       "    CITATION:            to be done later...\n",
+       "    COMMENT:             test is in the works\n",
+       "    CRS:                 EPSG:4326\n",
+       "    Conventions:         CF-1.8\n",
+       "    DESCRIPTION:         to be done later...\n",
+       "    ...                  ...\n",
+       "    SPATIAL_EXTENT:      [-180, -90, 180, 90]\n",
+       "    TAGS:                [&#x27;climate change&#x27;, &#x27;extreme sea level&#x27;, &#x27;deltas&#x27;]\n",
+       "    TEMPORAL_EXTENT:     [&#x27;2150-01-01T00:00:00Z&#x27;]\n",
+       "    TITLE:               Sea level projections\n",
+       "    TITLE_ABBREVIATION:  slp\n",
+       "    UNITS:               m</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-a9b1a125-0fc8-4846-a32e-7fd9193c02cc' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a9b1a125-0fc8-4846-a32e-7fd9193c02cc' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>nensemble</span>: 3</li><li><span>nstations</span>: 4</li><li><span>nscenarios</span>: 4</li><li><span class='xr-has-index'>time</span>: 4</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-6c812835-c445-4f44-bb7c-397a1de79086' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6c812835-c445-4f44-bb7c-397a1de79086' class='xr-section-summary' >Coordinates: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>ensemble</span></div><div class='xr-var-dims'>(nensemble)</div><div class='xr-var-dtype'>|S6</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(3,), meta=np.ndarray&gt;</div><input id='attrs-524136d9-02fb-4a45-8fb5-a85ffb3da5b7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-524136d9-02fb-4a45-8fb5-a85ffb3da5b7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-71a5a845-512a-4f05-8357-21c384f4ca2b' class='xr-var-data-in' type='checkbox'><label for='data-71a5a845-512a-4f05-8357-21c384f4ca2b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ensemble</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 18 B </td>\n",
+       "                        <td> 18 B </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (3,) </td>\n",
+       "                        <td> (3,) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> |S6 numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
+       "            </table>\n",
+       "        </td>\n",
+       "        <td>\n",
+       "        <svg width=\"170\" height=\"93\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
+       "\n",
+       "  <!-- Horizontal lines -->\n",
+       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"0\" y1=\"43\" x2=\"120\" y2=\"43\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Vertical lines -->\n",
+       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"43\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"43\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Colored Rectangle -->\n",
+       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,43.88583450710766 0.0,43.88583450710766\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
+       "\n",
+       "  <!-- Text -->\n",
+       "  <text x=\"60.000000\" y=\"63.885835\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3</text>\n",
+       "  <text x=\"140.000000\" y=\"21.942917\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,21.942917)\">1</text>\n",
+       "</svg>\n",
+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(nstations)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4,), meta=np.ndarray&gt;</div><input id='attrs-d4866844-e5c9-40f9-b40d-7e4cfa0e39c6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d4866844-e5c9-40f9-b40d-7e4cfa0e39c6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cac403ff-0ab3-455d-a797-76b18b366671' class='xr-var-data-in' type='checkbox'><label for='data-cac403ff-0ab3-455d-a797-76b18b366671' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 32 B </td>\n",
+       "                        <td> 32 B </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (4,) </td>\n",
+       "                        <td> (4,) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
+       "            </table>\n",
+       "        </td>\n",
+       "        <td>\n",
+       "        <svg width=\"170\" height=\"92\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
+       "\n",
+       "  <!-- Horizontal lines -->\n",
+       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"0\" y1=\"42\" x2=\"120\" y2=\"42\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Vertical lines -->\n",
+       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"42\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"42\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Colored Rectangle -->\n",
+       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,42.89879552186203 0.0,42.89879552186203\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
+       "\n",
+       "  <!-- Text -->\n",
+       "  <text x=\"60.000000\" y=\"62.898796\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4</text>\n",
+       "  <text x=\"140.000000\" y=\"21.449398\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,21.449398)\">1</text>\n",
+       "</svg>\n",
+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(nstations)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4,), meta=np.ndarray&gt;</div><input id='attrs-b9177ce4-dbc6-4dad-8dce-b389c373c388' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b9177ce4-dbc6-4dad-8dce-b389c373c388' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8b350045-3200-49ae-97d7-48840b840c55' class='xr-var-data-in' type='checkbox'><label for='data-8b350045-3200-49ae-97d7-48840b840c55' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 32 B </td>\n",
+       "                        <td> 32 B </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (4,) </td>\n",
+       "                        <td> (4,) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
+       "            </table>\n",
+       "        </td>\n",
+       "        <td>\n",
+       "        <svg width=\"170\" height=\"92\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
+       "\n",
+       "  <!-- Horizontal lines -->\n",
+       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"0\" y1=\"42\" x2=\"120\" y2=\"42\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Vertical lines -->\n",
+       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"42\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"42\" style=\"stroke-width:2\" />\n",
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+       "</svg>\n",
+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>scenarios</span></div><div class='xr-var-dims'>(nscenarios)</div><div class='xr-var-dtype'>|S6</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4,), meta=np.ndarray&gt;</div><input id='attrs-0ec8ebba-0110-4351-89e3-608dd1766e1b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0ec8ebba-0110-4351-89e3-608dd1766e1b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5b9f0d75-401e-4932-b306-c87e6ea63b02' class='xr-var-data-in' type='checkbox'><label for='data-5b9f0d75-401e-4932-b306-c87e6ea63b02' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>shared socioeconomic pathways</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 24 B </td>\n",
+       "                        <td> 24 B </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (4,) </td>\n",
+       "                        <td> (4,) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> |S6 numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
+       "            </table>\n",
+       "        </td>\n",
+       "        <td>\n",
+       "        <svg width=\"170\" height=\"92\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
+       "\n",
+       "  <!-- Horizontal lines -->\n",
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+       "\n",
+       "  <!-- Vertical lines -->\n",
+       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"42\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"42\" style=\"stroke-width:2\" />\n",
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+       "</svg>\n",
+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>stations</span></div><div class='xr-var-dims'>(nstations)</div><div class='xr-var-dtype'>|S12</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4,), meta=np.ndarray&gt;</div><input id='attrs-41acfe4f-19e1-4a1f-aa37-0dcc2da65633' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-41acfe4f-19e1-4a1f-aa37-0dcc2da65633' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d0467b19-6270-4d6a-b4c1-65698747db1d' class='xr-var-data-in' type='checkbox'><label for='data-d0467b19-6270-4d6a-b4c1-65698747db1d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>stations</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 48 B </td>\n",
+       "                        <td> 48 B </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (4,) </td>\n",
+       "                        <td> (4,) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> |S12 numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
+       "            </table>\n",
+       "        </td>\n",
+       "        <td>\n",
+       "        <svg width=\"170\" height=\"92\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
+       "\n",
+       "  <!-- Horizontal lines -->\n",
+       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
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+       "\n",
+       "  <!-- Vertical lines -->\n",
+       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"42\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"42\" style=\"stroke-width:2\" />\n",
+       "\n",
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+       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,42.89879552186203 0.0,42.89879552186203\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
+       "\n",
+       "  <!-- Text -->\n",
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+       "</svg>\n",
+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>2030 2050 2100 2150</div><input id='attrs-93e234ba-aea6-48ff-8e8e-df9f072ca4a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-93e234ba-aea6-48ff-8e8e-df9f072ca4a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6bc99c85-292b-444c-a1fa-f115eb2ff6a4' class='xr-var-data-in' type='checkbox'><label for='data-6bc99c85-292b-444c-a1fa-f115eb2ff6a4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time projections</dd><dt><span>units :</span></dt><dd>yr</dd></dl></div><div class='xr-var-data'><pre>array([2030, 2050, 2100, 2150], dtype=int64)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4f920cb4-dded-4f4f-9592-31a8da27cd08' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4f920cb4-dded-4f4f-9592-31a8da27cd08' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>slr</span></div><div class='xr-var-dims'>(nstations, nscenarios, nensemble, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4, 4, 3, 4), meta=np.ndarray&gt;</div><input id='attrs-1f7ae60b-ad88-4a3b-82b7-8607087d1732' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f7ae60b-ad88-4a3b-82b7-8607087d1732' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-17bc8349-65b0-415d-b0a3-b3e30e81983b' class='xr-var-data-in' type='checkbox'><label for='data-17bc8349-65b0-415d-b0a3-b3e30e81983b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea level projections</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 1.50 kiB </td>\n",
+       "                        <td> 1.50 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (4, 4, 3, 4) </td>\n",
+       "                        <td> (4, 4, 3, 4) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
+       "            </table>\n",
+       "        </td>\n",
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+       "        </td>\n",
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+       "  * time       (time) int64 2030 2050 2100 2150\n",
+       "Dimensions without coordinates: nensemble, nstations, nscenarios\n",
+       "Data variables:\n",
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+       "Attributes: (12/21)\n",
+       "    AUTHOR:              to be done later...\n",
+       "    CITATION:            to be done later...\n",
+       "    COMMENT:             test is in the works\n",
+       "    CRS:                 EPSG:4326\n",
+       "    Conventions:         CF-1.8\n",
+       "    DESCRIPTION:         to be done later...\n",
+       "    ...                  ...\n",
+       "    SPATIAL_EXTENT:      [-180, -90, 180, 90]\n",
+       "    TAGS:                ['climate change', 'extreme sea level', 'deltas']\n",
+       "    TEMPORAL_EXTENT:     ['2150-01-01T00:00:00Z']\n",
+       "    TITLE:               Sea level projections\n",
+       "    TITLE_ABBREVIATION:  slp\n",
+       "    UNITS:               m"
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "check"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "b'Genova'\n",
+      "b'ssp126'\n",
+      "b'low'\n",
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+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
+       "Dimensions:    (time: 4)\n",
+       "Coordinates:\n",
+       "    ensemble   |S6 dask.array&lt;chunksize=(), meta=np.ndarray&gt;\n",
+       "    lat        float64 dask.array&lt;chunksize=(), meta=np.ndarray&gt;\n",
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+       "    stations   |S12 dask.array&lt;chunksize=(), meta=np.ndarray&gt;\n",
+       "  * time       (time) int64 2030 2050 2100 2150\n",
+       "Data variables:\n",
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+       "Attributes: (12/21)\n",
+       "    AUTHOR:              to be done later...\n",
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+       "    DESCRIPTION:         to be done later...\n",
+       "    ...                  ...\n",
+       "    SPATIAL_EXTENT:      [-180, -90, 180, 90]\n",
+       "    TAGS:                [&#x27;climate change&#x27;, &#x27;extreme sea level&#x27;, &#x27;deltas&#x27;]\n",
+       "    TEMPORAL_EXTENT:     [&#x27;2150-01-01T00:00:00Z&#x27;]\n",
+       "    TITLE:               Sea level projections\n",
+       "    TITLE_ABBREVIATION:  slp\n",
+       "    UNITS:               m</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-634d8f30-9df6-4014-92ea-f66ef1880166' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-634d8f30-9df6-4014-92ea-f66ef1880166' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 4</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-df2e50b5-513f-4455-9b61-4b0ed6a93110' class='xr-section-summary-in' type='checkbox'  checked><label for='section-df2e50b5-513f-4455-9b61-4b0ed6a93110' class='xr-section-summary' >Coordinates: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>ensemble</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S6</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(), meta=np.ndarray&gt;</div><input id='attrs-6f498395-de4f-420d-a41a-82cb7b4a60b3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6f498395-de4f-420d-a41a-82cb7b4a60b3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6f9de6d5-92b3-427b-94b7-8e199e1f5cb8' class='xr-var-data-in' type='checkbox'><label for='data-6f9de6d5-92b3-427b-94b7-8e199e1f5cb8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ensemble</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 6 B </td>\n",
+       "                        <td> 6 B </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> () </td>\n",
+       "                        <td> () </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1 chunks in 3 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> |S6 numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
+       "            </table>\n",
+       "        </td>\n",
+       "        <td>\n",
+       "        \n",
+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(), meta=np.ndarray&gt;</div><input id='attrs-a3ba10c8-a73f-439d-9398-e46c41341ab7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a3ba10c8-a73f-439d-9398-e46c41341ab7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3996a59e-3b70-4b76-b273-5626a86b8eb9' class='xr-var-data-in' type='checkbox'><label for='data-3996a59e-3b70-4b76-b273-5626a86b8eb9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 8 B </td>\n",
+       "                        <td> 8 B </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> () </td>\n",
+       "                        <td> () </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1 chunks in 3 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
+       "            </table>\n",
+       "        </td>\n",
+       "        <td>\n",
+       "        \n",
+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(), meta=np.ndarray&gt;</div><input id='attrs-33c9f07d-0d60-4cd1-a28c-c01f6c209a3b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-33c9f07d-0d60-4cd1-a28c-c01f6c209a3b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d7cbacc7-1b44-4d72-9c4f-c21ee090ba6f' class='xr-var-data-in' type='checkbox'><label for='data-d7cbacc7-1b44-4d72-9c4f-c21ee090ba6f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 8 B </td>\n",
+       "                        <td> 8 B </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> () </td>\n",
+       "                        <td> () </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1 chunks in 3 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
+       "            </table>\n",
+       "        </td>\n",
+       "        <td>\n",
+       "        \n",
+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>scenarios</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S6</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(), meta=np.ndarray&gt;</div><input id='attrs-38162662-c7ae-464d-afec-ad8a9bf63c4c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-38162662-c7ae-464d-afec-ad8a9bf63c4c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-118f5158-25ff-45ea-973e-14ef88d01196' class='xr-var-data-in' type='checkbox'><label for='data-118f5158-25ff-45ea-973e-14ef88d01196' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>shared socioeconomic pathways</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 6 B </td>\n",
+       "                        <td> 6 B </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> () </td>\n",
+       "                        <td> () </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1 chunks in 3 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> |S6 numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
+       "            </table>\n",
+       "        </td>\n",
+       "        <td>\n",
+       "        \n",
+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>stations</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S12</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(), meta=np.ndarray&gt;</div><input id='attrs-d5bb2ab1-f90a-455d-bfb1-8991689853b7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d5bb2ab1-f90a-455d-bfb1-8991689853b7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c7d1a0a8-d346-4591-bd41-62986cb1cade' class='xr-var-data-in' type='checkbox'><label for='data-c7d1a0a8-d346-4591-bd41-62986cb1cade' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>stations</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 12 B </td>\n",
+       "                        <td> 12 B </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> () </td>\n",
+       "                        <td> () </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1 chunks in 3 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> |S12 numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
+       "            </table>\n",
+       "        </td>\n",
+       "        <td>\n",
+       "        \n",
+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>2030 2050 2100 2150</div><input id='attrs-0a6557de-b3aa-42a6-a4ab-c0927e8cc6ff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0a6557de-b3aa-42a6-a4ab-c0927e8cc6ff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-24ca5b42-b4ed-4874-9195-3edce3d28184' class='xr-var-data-in' type='checkbox'><label for='data-24ca5b42-b4ed-4874-9195-3edce3d28184' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time projections</dd><dt><span>units :</span></dt><dd>yr</dd></dl></div><div class='xr-var-data'><pre>array([2030, 2050, 2100, 2150], dtype=int64)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d9c9102a-42e1-4881-b99d-e620b061627a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d9c9102a-42e1-4881-b99d-e620b061627a' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>slr</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4,), meta=np.ndarray&gt;</div><input id='attrs-008aa12d-354d-4da2-afc3-24d3eed3839f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-008aa12d-354d-4da2-afc3-24d3eed3839f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c41af530-0b3f-4672-a776-7d4e0ab5ab70' class='xr-var-data-in' type='checkbox'><label for='data-c41af530-0b3f-4672-a776-7d4e0ab5ab70' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea level projections</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 32 B </td>\n",
+       "                        <td> 32 B </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (4,) </td>\n",
+       "                        <td> (4,) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1 chunks in 3 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
+       "            </table>\n",
+       "        </td>\n",
+       "        <td>\n",
+       "        <svg width=\"170\" height=\"92\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
+       "\n",
+       "  <!-- Horizontal lines -->\n",
+       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"0\" y1=\"42\" x2=\"120\" y2=\"42\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Vertical lines -->\n",
+       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"42\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"42\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Colored Rectangle -->\n",
+       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,42.89879552186203 0.0,42.89879552186203\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
+       "\n",
+       "  <!-- Text -->\n",
+       "  <text x=\"60.000000\" y=\"62.898796\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4</text>\n",
+       "  <text x=\"140.000000\" y=\"21.449398\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,21.449398)\">1</text>\n",
+       "</svg>\n",
+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-0c1018cd-f535-4248-b4db-cd296294d3c1' class='xr-section-summary-in' type='checkbox'  ><label for='section-0c1018cd-f535-4248-b4db-cd296294d3c1' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8e55f50f-896e-467a-8910-f816611b2669' class='xr-index-data-in' type='checkbox'/><label for='index-8e55f50f-896e-467a-8910-f816611b2669' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([2030, 2050, 2100, 2150], dtype=&#x27;int64&#x27;, name=&#x27;time&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2b56f0a4-726e-4876-89e6-a685da02febe' class='xr-section-summary-in' type='checkbox'  ><label for='section-2b56f0a4-726e-4876-89e6-a685da02febe' class='xr-section-summary' >Attributes: <span>(21)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>AUTHOR :</span></dt><dd>to be done later...</dd><dt><span>CITATION :</span></dt><dd>to be done later...</dd><dt><span>COMMENT :</span></dt><dd>test is in the works</dd><dt><span>CRS :</span></dt><dd>EPSG:4326</dd><dt><span>Conventions :</span></dt><dd>CF-1.8</dd><dt><span>DESCRIPTION :</span></dt><dd>to be done later...</dd><dt><span>DOI :</span></dt><dd>to be done later...</dd><dt><span>HISTORY :</span></dt><dd>[&#x27;Deltares&#x27;]</dd><dt><span>INSTITUTION :</span></dt><dd>to be done later...</dd><dt><span>KEYWORDS :</span></dt><dd>[&#x27;climate change&#x27;, &#x27;extreme sea level&#x27;, &#x27;deltas&#x27;]</dd><dt><span>LICENSE :</span></dt><dd>to be done later...</dd><dt><span>LONG_NAME :</span></dt><dd>SLP</dd><dt><span>MEDIA_TYPE :</span></dt><dd>TEXT/CSV</dd><dt><span>PROVIDERS :</span></dt><dd>{&quot;name&quot;: &quot;Deltares Test&quot;, &quot;url&quot;: &quot;https://www.deltares.nl&quot;, &quot;roles&quot;: &quot;provider&quot;, &quot;description&quot;: &quot;to be done later...&quot;}</dd><dt><span>SHORT_DESCRIPTION :</span></dt><dd>to be done later...</dd><dt><span>SPATIAL_EXTENT :</span></dt><dd>[-180, -90, 180, 90]</dd><dt><span>TAGS :</span></dt><dd>[&#x27;climate change&#x27;, &#x27;extreme sea level&#x27;, &#x27;deltas&#x27;]</dd><dt><span>TEMPORAL_EXTENT :</span></dt><dd>[&#x27;2150-01-01T00:00:00Z&#x27;]</dd><dt><span>TITLE :</span></dt><dd>Sea level projections</dd><dt><span>TITLE_ABBREVIATION :</span></dt><dd>slp</dd><dt><span>UNITS :</span></dt><dd>m</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset>\n",
+       "Dimensions:    (time: 4)\n",
+       "Coordinates:\n",
+       "    ensemble   |S6 dask.array<chunksize=(), meta=np.ndarray>\n",
+       "    lat        float64 dask.array<chunksize=(), meta=np.ndarray>\n",
+       "    lon        float64 dask.array<chunksize=(), meta=np.ndarray>\n",
+       "    scenarios  |S6 dask.array<chunksize=(), meta=np.ndarray>\n",
+       "    stations   |S12 dask.array<chunksize=(), meta=np.ndarray>\n",
+       "  * time       (time) int64 2030 2050 2100 2150\n",
+       "Data variables:\n",
+       "    slr        (time) float64 dask.array<chunksize=(4,), meta=np.ndarray>\n",
+       "Attributes: (12/21)\n",
+       "    AUTHOR:              to be done later...\n",
+       "    CITATION:            to be done later...\n",
+       "    COMMENT:             test is in the works\n",
+       "    CRS:                 EPSG:4326\n",
+       "    Conventions:         CF-1.8\n",
+       "    DESCRIPTION:         to be done later...\n",
+       "    ...                  ...\n",
+       "    SPATIAL_EXTENT:      [-180, -90, 180, 90]\n",
+       "    TAGS:                ['climate change', 'extreme sea level', 'deltas']\n",
+       "    TEMPORAL_EXTENT:     ['2150-01-01T00:00:00Z']\n",
+       "    TITLE:               Sea level projections\n",
+       "    TITLE_ABBREVIATION:  slp\n",
+       "    UNITS:               m"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "tester = check.isel(nstations=0, nscenarios=1, nensemble=0)\n",
+    "print(tester.stations.values)\n",
+    "print(tester.scenarios.values)\n",
+    "print(tester.ensemble.values)\n",
+    "print(tester.slr.values)\n",
+    "tester"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.4"
+  },
+  "orig_nbformat": 4
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/scripts/create_stacs/13_slp_stacs.py b/scripts/create_stacs/13_slp_stacs.py
index 97f31cc864..c208d81ba0 100644
--- a/scripts/create_stacs/13_slp_stacs.py
+++ b/scripts/create_stacs/13_slp_stacs.py
@@ -3,15 +3,23 @@
 import pathlib
 import sys
 import json
+import glob
+import xarray as xr
+import numpy as np
+import datetime
+import rasterio
+import shapely
+import pandas as pd
 from posixpath import join as urljoin
 
 import pystac
+from pystac.stac_io import DefaultStacIO
 from coclicodata.drive_config import p_drive
-from coclicodata.etl.cloud_utils import dataset_from_google_cloud
+from coclicodata.etl.cloud_utils import dataset_from_google_cloud,load_google_credentials, dir_to_google_cloud
 from coclicodata.etl.extract import get_mapbox_url, zero_terminated_bytes_as_str
 from pystac import Catalog, CatalogType, Collection, Summaries
 from coclicodata.coclico_stac.io import CoCliCoStacIO
-from coclicodata.coclico_stac.layouts import CoCliCoZarrLayout
+from coclicodata.coclico_stac.layouts import CoCliCoCOGLayout
 from coclicodata.coclico_stac.templates import (
     extend_links,
     gen_default_collection_props,
@@ -31,66 +39,74 @@
     rm_special_characters,
 )
 
-if __name__ == "__main__":
-    # hard-coded input params at project level
-    BUCKET_NAME = "dgds-data-public"
-    BUCKET_PROJ = "coclico"
-    MAPBOX_PROJ = "global-data-viewer"
+# TODO: move itemize to ETL or stac.blueprint when generalized
+def itemize(
+    da,
+    item: pystac.Item,
+    blob_name: str,
+    asset_roles: "List[str] | None" = None,  # "" enables Python 3.8 development not to crash: https://github.com/tiangolo/typer/issues/371
+    asset_media_type=pystac.MediaType.COG,
+) -> pystac.Item:
+    """ """
+    import rioxarray  # noqa
+
+    item = item.clone()
+    dst_crs = rasterio.crs.CRS.from_epsg(4326)
+
+    bbox = rasterio.warp.transform_bounds(da.rio.crs, dst_crs, *da.rio.bounds())
+    geometry = shapely.geometry.mapping(shapely.geometry.box(*bbox))
+
+    item.id = blob_name
+    item.geometry = geometry
+    item.bbox = bbox
+    item.datetime = pd.Timestamp(da["time"].item()).to_pydatetime()  # dataset specific
+    # item.datetime = cftime_to_pdts(da["time"].item()).to_pydatetime() # dataset specific
+
+    ext = pystac.extensions.projection.ProjectionExtension.ext(
+        item, add_if_missing=True
+    )
+    ext.bbox = da.rio.bounds()
+    ext.shape = da.shape[-2:]
+    ext.epsg = da.rio.crs.to_epsg()
+    ext.geometry = shapely.geometry.mapping(shapely.geometry.box(*ext.bbox))
+    ext.transform = list(da.rio.transform())[:6]
+    ext.add_to(item)
+
+    roles = asset_roles or ["data"]
+
+    href = os.path.join(
+        GCS_PROTOCOL,
+        BUCKET_NAME,
+        BUCKET_PROJ,
+        COLLECTION_ID,
+        blob_name,
+    )
 
-    # hard-coded input params at project level
-    coclico_data_dir = pathlib.Path(
-        p_drive,
-        "11205479-coclico",
-        "FULLTRACK_DATA",
-        "WP3",
+    # TODO: We need to generalize this `href` somewhat.
+    asset = pystac.Asset(
+        href=href,
+        media_type=asset_media_type,
+        roles=roles,
     )
-    dataset_dir = coclico_data_dir.joinpath("pilot")
 
-    # opening metadata
-    metadata_fp = coclico_data_dir.joinpath("metadata", "metadata_SLP.json")
-    with open(metadata_fp, "r") as f:
-        metadata = json.load(f)
+    item.add_asset("data", asset)
+
+    return item
+
+
+if __name__ == "__main__":
+    # hard-coded input params at project level
+    GCS_PROTOCOL = "https://storage.googleapis.com"
+    GCS_PROJECT = "coclico-11207608-002"
+    BUCKET_NAME = "coclico-data-public"
+    BUCKET_PROJ = "coclico"
 
-    # STAC configs
     STAC_DIR = "current"
     TEMPLATE_COLLECTION = "template"  # stac template for dataset collection
-    COLLECTION_TITLE = metadata["TITLE"]
-    COLLECTION_ID = metadata["TITLE_ABBREVIATION"]  # name of stac collection
-    DATASET_DESCRIPTION = metadata["DESCRIPTION"]
+    COLLECTION_ID = "slp"  # name of stac collection
 
-    # hard-coded input params which differ per dataset
-    DATASET_FILENAME = "ar6_slr_pilots.zarr"
-    VARIABLES = ["slr"]  # xarray variables in dataset
-    X_DIMENSION = "lon"  # False, None or str; spatial lon dim used by datacube
-    Y_DIMENSION = "lat"  # False, None or str; spatial lat dim ""
-    TEMPORAL_DIMENSION = "time"  # False, None or str; temporal ""
-    ADDITIONAL_DIMENSIONS = [
-        "scenarios",
-        "time",
-    ]  # Empty list or list of str; additional dims ""
-    DIMENSIONS_TO_IGNORE = [
-        "stations",
-        "nensemble",
-        "nscenarios",
-    ]  # List of str; dims ignored by datacube
-    MAP_SELECTION_DIMS = {
-        "scenarios": [
-            "high",
-            "ssp126",
-            "ssp245",
-            "ssp585",
-        ],
-        "time": [2030, 2050, 2100, 2150],
-        "nensemble": 1,
-    }
-    # hard-coded frontend properties
-    STATIONS = "locationId"
-    TYPE = "circle"
-    ON_CLICK = {}
-
-    # these are added at collection level (for graph plot in the dashboard)
-    UNITS = "m"
-    PLOT_SERIES = "slr"
+    # these are added at collection level, determine dashboard graph layout using all items
+    PLOT_SERIES = "scenarios"
     PLOT_X_AXIS = "time"
     PLOT_TYPE = "line"
     MIN = 0
@@ -101,186 +117,135 @@
         {"color": "hsl(0,90%,70%)", "offset": "100.000%", "opacity": 100},
     ]
 
-    # functions to generate properties that vary per dataset but cannot be hard-coded because
-    # they also require input arguments
-    def get_paint_props(item_key: str):
-        return {
-            "circle-color": [
-                "interpolate",
-                ["linear"],
-                ["get", item_key],
-                0,
-                "hsl(110,90%,80%)",
-                1.5,
-                "hsla(55, 88%, 53%, 0.5)",
-                3.0,
-                "hsl(0, 90%, 70%)",
-            ],
-            "circle-radius": [
-                "interpolate",
-                ["linear"],
-                ["zoom"],
-                0,
-                0.5,
-                1,
-                1,
-                5,
-                5,
-            ],
-        }
-
-    # semi hard-coded input params
-    gcs_zarr_store = os.path.join("gcs://", BUCKET_NAME, BUCKET_PROJ, DATASET_FILENAME)
-    gcs_api_zarr_store = os.path.join(
-        "https://storage.googleapis.com", BUCKET_NAME, BUCKET_PROJ, DATASET_FILENAME
-    )
-
-    # read data from gcs zarr store
-    ds = dataset_from_google_cloud(
-        bucket_name=BUCKET_NAME, bucket_proj=BUCKET_PROJ, zarr_filename=DATASET_FILENAME
+    # define local directories
+    home = pathlib.Path().home()
+    tmp_dir = home.joinpath("data", "tmp")
+    coclico_data_dir = p_drive.joinpath(
+        "11207608-coclico", "FULLTRACK_DATA", "WP3"
+    )  # remote p drive
+    google_cred_dir = p_drive.joinpath(
+        "11207608-coclico", "FASTTRACK_DATA", "google_credentials_new.json"
     )
 
-    # import xarray as xr
+    # hard-coded input params which differ per dataset
+    METADATA_LIST = glob.glob(str(coclico_data_dir.joinpath('data','*.json')))
+    DATASET_DIR = "data"
+    CF_FILE = "slr_medium_confidence_values_CF.nc"
 
-    # fpath = pathlib.Path.home().joinpath("data", "tmp", "europe_storm_surge_level.zarr")
-    # ds = xr.open_zarr(fpath)
+    # use local or remote data dir
+    use_local_data = False
 
-    # cast zero terminated bytes to str because json library cannot write handle bytes
-    ds = zero_terminated_bytes_as_str(ds)
+    if use_local_data:
+        ds_dir = tmp_dir.joinpath(DATASET_DIR)
+    else:
+        ds_dir = coclico_data_dir.joinpath(DATASET_DIR)
 
-    # remove characters that cause problems in the frontend.
-    ds = rm_special_characters(
-        ds, dimensions_to_check=ADDITIONAL_DIMENSIONS, characters=["%"]
-    )
+    if not ds_dir.exists():
+        raise FileNotFoundError(f"Data dir does not exist, {str(ds_dir)}")
 
-    title = ds.attrs.get("title", COLLECTION_ID)
+    # directory to export result
+    cog_dirs = coclico_data_dir.joinpath("cogs")
 
-    # load coclico data catalog
-    catalog = Catalog.from_file(
-        os.path.join(
-            pathlib.Path(__file__).parent.parent.parent, STAC_DIR, "catalog.json"
-        )
-    )
+    catalog = Catalog.from_file(os.path.join(pathlib.Path(__file__).parent.parent.parent, STAC_DIR, "catalog.json"))
 
     template_fp = os.path.join(
-        pathlib.Path(__file__).parent.parent.parent,
-        STAC_DIR,
-        TEMPLATE_COLLECTION,
-        "collection.json",
+        pathlib.Path(__file__).parent.parent.parent, STAC_DIR, TEMPLATE_COLLECTION, "collection.json"
     )
 
-    # generate collection for dataset
-    collection = get_template_collection(
-        template_fp=template_fp,
-        collection_id=COLLECTION_ID,
-        title=COLLECTION_TITLE,
-        description=DATASET_DESCRIPTION,
-        keywords=[],
-    )
+    layout = CoCliCoCOGLayout()
+    
+    #%% DO THE WORK
+    # Hard code the various ssp scenarios considered
+    scens = 'high_end', 'ssp126', 'ssp245', 'ssp585'
 
-    # add datacube dimensions derived from xarray dataset to dataset stac_obj
-    collection = add_datacube(
-        stac_obj=collection,
-        ds=ds,
-        x_dimension=X_DIMENSION,
-        y_dimension=Y_DIMENSION,
-        temporal_dimension=TEMPORAL_DIMENSION,
-        additional_dimensions=ADDITIONAL_DIMENSIONS,
-        reference_system=ds.CRS,
-    )
+    # List all nc-files from data folder
+    ncfile_list = glob.glob(str(ds_dir.joinpath("*.nc")))
 
-    # This dataset has quite some dimensions, so if we would parse all information the end-user
-    # would be overwhelmed by all options. So for the stac items that we generate for the frontend
-    # visualizations a subset of the data is selected. Of course, this operation is dataset specific.
-    for k, v in MAP_SELECTION_DIMS.items():
-        if k in ds.dims and ds.coords:
-            ds = ds.sel({k: v})
-        else:
-            try:
-                # assume that coordinates with strings always have same dim name but with n
-                ds = ds.sel({"n" + k: k == v})
-            except:
-                raise ValueError(f"Cannot find {k}")
-
-    # generate stac feature keys (strings which will be stac item ids) for mapbox layers
-    if len(ADDITIONAL_DIMENSIONS) > 0:
-        dimvals = get_dimension_values(ds, dimensions_to_ignore=DIMENSIONS_TO_IGNORE)
-        dimcombs = get_dimension_dot_product(dimvals)
-    else:
-        dimvals = {}
-        dimcombs = []
+    for scen, file in zip(scens, ncfile_list):
+        if not scen in file:
+            raise ValueError('The some or more of the strings defined in scens are not found in your file_list')
+
+    # load metadata
+    with open(r'p:\11207608-coclico\FULLTRACK_DATA\WP3\data\full_dataset_metadata\SLP_CoCliCo_metadata.json', "r") as f:
+            ds_metadata = json.load(f)
+
+    if "Creative Commons" in ds_metadata["LICENSE"] and "4.0" in ds_metadata["LICENSE"]:
+            ds_metadata["LICENSE"] = "CC-BY-4.0"
 
-    # TODO: check what can be customized in the layout
-    layout = CoCliCoZarrLayout()
+    # Add extra keywords
+    ds_metadata['KEYWORDS'].extend(["Sea Levels", "Full-Track"])
 
-    # create stac collection per variable and add to dataset collection
-    for var in VARIABLES:
-        # add zarr store as asset to stac_obj
-        collection.add_asset("data", gen_zarr_asset(title, gcs_api_zarr_store))
+    # generate collection for dataset
+    collection = get_template_collection(
+        template_fp=    template_fp,
+        collection_id=  COLLECTION_ID,
+        title=          ds_metadata["TITLE"],
+        description=    ds_metadata["SHORT_DESCRIPTION"],
+        keywords=       ds_metadata['KEYWORDS'],
+        license=        ds_metadata["LICENSE"],
+        spatial_extent= ds_metadata["SPATIAL_EXTENT"],
+        temporal_extent=ds_metadata["TEMPORAL_EXTENT"],
+        providers=      [
+                        pystac.Provider(
+                            name="Deltares",
+                            roles=[
+                                pystac.provider.ProviderRole.PROCESSOR,
+                                pystac.provider.ProviderRole.HOST,
+                            ],
+                            url="https://deltares.nl",
+                        ),
+                        pystac.Provider(
+                            ds_metadata["PROVIDERS"]["name"],
+                            roles=[
+                                pystac.provider.ProviderRole.PRODUCER,
+                            ],
+                            url=ds_metadata["PROVIDERS"]["url"],
+                            description=ds_metadata["PROVIDERS"]["description"],
+                        ),
+                    ]
+        )
+    #%%   
+    for scen, ncfile, metadata_fp in zip(scens, ncfile_list, METADATA_LIST):
 
-        # stac items are generated per AdditionalDimension (non spatial)
-        for dimcomb in dimcombs:
-            mapbox_url = get_mapbox_url(MAPBOX_PROJ, DATASET_FILENAME, var)
+        slp = xr.open_dataset(ncfile, engine="rasterio", mask_and_scale=False)
 
-            # generate stac item key and add link to asset to the stac item
-            item_id = get_mapbox_item_id(dimcomb)
-            feature = gen_default_item(f"{var}-mapbox-{item_id}")
-            feature.add_asset("mapbox", gen_mapbox_asset(mapbox_url))
+        slp['time'] = slp.indexes['time'].to_datetimeindex()
+        
+        # load metadata template
+        with open(metadata_fp, "r") as f:
+            metadata = json.load(f)
 
-            # This calls ItemCoclicoExtension and links CoclicoExtension to the stac item
-            coclico_ext = CoclicoExtension.ext(feature, add_if_missing=True)
+        for var in slp:
+            for itime, time in enumerate(slp['time'].values):    
+                
+                # Select the variable and timestep from dataset
+                da = slp[var].isel(time = itime)
 
-            coclico_ext.item_key = item_id
-            coclico_ext.paint = get_paint_props(item_id)
-            coclico_ext.type_ = TYPE
-            coclico_ext.stations = STATIONS
-            coclico_ext.on_click = ON_CLICK
+                # Set final output file name, nc-file is broken down into tif's 
+                item_name = np.datetime_as_string(time, unit='Y') + '.tif'
 
-            # TODO: include this in our datacube?
-            # add dimension key-value pairs to stac item properties dict
-            for k, v in dimcomb.items():
-                feature.properties[k] = v
+                blob_name = pathlib.Path(
+                    scen,
+                    var,
+                    item_name,
+                )
 
-            # add stac item to collection
-            collection.add_item(feature, strategy=layout)
+                outpath = cog_dirs.joinpath(blob_name)
+                template_item = pystac.Item(
+                    "id", None, None, datetime.datetime(2000, 1, 1), {}
+                )
 
-    # if no variables present we still need to add zarr reference at collection level
-    if not VARIABLES:
-        collection.add_asset("data", gen_zarr_asset(title, gcs_api_zarr_store))
+                item = itemize(da, template_item, blob_name=str(blob_name))
+                collection.add_item(item, strategy=layout)
 
-    # TODO: use gen_default_summaries() from blueprint.py after making it frontend compliant.
+    #%% TODO: use gen_default_summaries() from blueprint.py after making it frontend compliant.
     collection.summaries = Summaries({})
-    # TODO: check if maxcount is required (inpsired on xstac library)
-    # stac_obj.summaries.maxcount = 50
-    for k, v in dimvals.items():
-        collection.summaries.add(k, v)
-
-    # this calls CollectionCoclicoExtension since stac_obj==pystac.Collection
-    coclico_ext = CoclicoExtension.ext(collection, add_if_missing=True)
-
-    # Add frontend properties defined above to collection extension properties. The
-    # properties attribute of this extension is linked to the extra_fields attribute of
-    # the stac collection.
-    coclico_ext.units = UNITS
-    coclico_ext.plot_series = PLOT_SERIES
-    coclico_ext.plot_x_axis = PLOT_X_AXIS
-    coclico_ext.plot_type = PLOT_TYPE
-    coclico_ext.min_ = MIN
-    coclico_ext.max_ = MAX
-    coclico_ext.linear_gradient = LINEAR_GRADIENT
-
-    # set extra link properties
-    extend_links(collection, dimvals.keys())
-
-    # save and limit number of folders
-    catalog.add_child(collection)
 
-    collection.normalize_hrefs(
-        os.path.join(
-            pathlib.Path(__file__).parent.parent.parent, STAC_DIR, COLLECTION_ID
-        ),
-        strategy=layout,
-    )
+    collection.extra_fields["item_assets"] = {"data": {"type": pystac.MediaType.COG}}
+    collection.extra_fields["deltares:units"] = ds_metadata["UNITS"]
+    collection.extra_fields["deltares:plotType"] = PLOT_TYPE # NOTE:this causes validation to break 
+    collection.extra_fields["deltares:min"] = MIN
+    collection.extra_fields["deltares:max"] = MAX
 
     # Add thumbnail
     collection.add_asset(
@@ -292,10 +257,47 @@ def get_paint_props(item_key: str):
         ),
     )
 
+    # Check if collection already exists within catalog
+    if catalog.get_child(collection.id):
+        # If so, delete child
+        catalog.remove_child(collection.id)
+        print(f"Removed child: {collection.id}.")
+
+    # add collection to catalog
+    catalog.add_child(collection)
+
+    # normalize the paths
+    collection.normalize_hrefs(
+        os.path.join(pathlib.Path(__file__).parent.parent.parent, STAC_DIR, COLLECTION_ID), strategy=layout
+    )
+
+    # Validate collection instead of full catalog in stac_to_cloud.py
+    collection.validate_all()
+
+    # Initialize stac_io
+    stac_io = DefaultStacIO()
+
+    # save updated catalog to local drive
     catalog.save(
         catalog_type=CatalogType.SELF_CONTAINED,
         dest_href=os.path.join(pathlib.Path(__file__).parent.parent.parent, STAC_DIR),
-        stac_io=CoCliCoStacIO(),
+        # dest_href=str(tmp_dir),
+        stac_io=stac_io, # TODO: Adjust to STAC IO
     )
+    print("Done!")
+
+    # upload directory with cogs to google cloud
+    load_google_credentials(
+        google_token_fp=google_cred_dir
+    )
+
+    dir_to_google_cloud(
+        dir_path=str(cog_dirs),
+        gcs_project=GCS_PROJECT,
+        bucket_name=BUCKET_NAME,
+        bucket_proj=BUCKET_PROJ,
+        dir_name='slp',
+    )
+
 
 # %%
diff --git a/scripts/utils/stac_to_cloud.py b/scripts/utils/stac_to_cloud.py
index 2f0b4c414d..b22b07a312 100644
--- a/scripts/utils/stac_to_cloud.py
+++ b/scripts/utils/stac_to_cloud.py
@@ -16,7 +16,7 @@
     GCS_PROJECT = "coclico-11207608-002"
     BUCKET_NAME = "coclico-data-public"
     BUCKET_PROJ = "coclico"
-    STAC_NAME = "coclico-stac-ceed"
+    STAC_NAME = "coclico-stac-slp"
     IN_DIRNAME = "current"
 
     # hard-coded input params at project level
@@ -37,18 +37,21 @@
         os.path.join(source_dir_fp, "catalog.json")  # local cloned STAC
     )
 
-    if (
-        catalog.validate_all() == None
-    ):  # no valid STAC (note, pystac >1.10 and jsonschema >4.20)
-        print(
-            "STAC is not valid and hence not uploaded to cloud, please adjust"
-            " accordingly by debugging the STAC catalog."
-        )
-    else:
-        dir_to_google_cloud(
-            dir_path=source_dir_fp,
-            gcs_project=GCS_PROJECT,
-            bucket_name=BUCKET_NAME,
-            bucket_proj=BUCKET_PROJ,
-            dir_name=STAC_NAME,
-        )
+    ## NOTE: no need to validate whole catalog, 
+    # if (
+    #     catalog.validate_all() == None
+    # ):  # no valid STAC (note, pystac >1.10 and jsonschema >4.20)
+    #     print(
+    #         "STAC is not valid and hence not uploaded to cloud, please adjust"
+    #         " accordingly by debugging the STAC catalog."
+    #     )
+    # else:
+    dir_to_google_cloud(
+        dir_path=source_dir_fp,
+        gcs_project=GCS_PROJECT,
+        bucket_name=BUCKET_NAME,
+        bucket_proj=BUCKET_PROJ,
+        dir_name=STAC_NAME,
+    )
+
+# %%
diff --git a/src/coclicodata/coclico_stac/templates.py b/src/coclicodata/coclico_stac/templates.py
index 181060717d..2c25225183 100644
--- a/src/coclicodata/coclico_stac/templates.py
+++ b/src/coclicodata/coclico_stac/templates.py
@@ -33,10 +33,10 @@ def get_template_collection(
     title: str,
     description: str,
     keywords: list,
-    # license: str,
-    # spatial_extent: list,
-    # temporal_extent: list,
-    # providers: list,
+    license: str,
+    spatial_extent: list,
+    temporal_extent: list,
+    providers: list,
     # hosting_platform: str,
 ) -> pystac.Collection:
     """Deltares CoCliCo STAC Obj from template file.
@@ -62,10 +62,10 @@ def get_template_collection(
     collection.title = title
     collection.description = description
     collection.keywords = keywords
-    # collection.license = license
-    # collection.extent.spatial.bbox = spatial_extent
-    # collection.extent.temporal.interval = temporal_extent
-    # collection.providers = providers
+    collection.license = license
+    collection.extent.spatial.bbox = spatial_extent
+    collection.extent.temporal.interval = temporal_extent
+    collection.providers = providers
 
     # Drop existing items, dimensions and summaries
     collection.set_root(None)