diff --git a/pipelines/SDM/BRT_julia_viewer.json b/pipelines/SDM/BRT_julia_viewer.json
index 0097826b..946ab6b4 100644
--- a/pipelines/SDM/BRT_julia_viewer.json
+++ b/pipelines/SDM/BRT_julia_viewer.json
@@ -297,8 +297,8 @@
       "id": "33",
       "type": "output",
       "position": {
-        "x": 2379.6499938964844,
-        "y": 122
+        "x": 2396.121814241836,
+        "y": 98.93945151650797
       },
       "data": {
         "label": "Output"
@@ -353,11 +353,11 @@
       }
     },
     {
-      "id": "38",
+      "id": "39",
       "type": "output",
       "position": {
-        "x": 1504.2802457138919,
-        "y": 294.44054742414664
+        "x": 2687.4770663161003,
+        "y": 233.61776005508665
       },
       "data": {
         "label": "Output"
@@ -604,11 +604,11 @@
       "id": "reactflow__edge-30-37"
     },
     {
-      "source": "1",
-      "sourceHandle": "total_records",
-      "target": "38",
+      "source": "21",
+      "sourceHandle": "n_clean",
+      "target": "39",
       "targetHandle": null,
-      "id": "reactflow__edge-1total_records-38"
+      "id": "reactflow__edge-21n_clean-39"
     }
   ],
   "inputs": {
@@ -660,42 +660,12 @@
     }
   },
   "outputs": {
-    "pipeline@30": {
-      "label": "Species name",
-      "description": "Species for which the distribution model is generated",
-      "weight": 1
-    },
-    "filtering>cleanCoordinates.yml@21|clean_presence": {
-      "description": "Dataframe, table with clean presence points from GBIF for selected species",
-      "label": "Presences",
-      "type": "text/tab-separated-values",
-      "weight": 2
-    },
-    "data>pyLoadObservations>pyLoadObservations.yml@1|total_records": {
-      "description": "Total number of GBIF occurrences in csv file",
-      "label": "Total number of occurrences",
-      "type": "int",
-      "example": 1234,
-      "weight": 3
-    },
     "SDM>julia_sdms>pcaLayers.yml@13|predictors": {
       "description": "Environmental layers used as predictors in model fitting",
       "label": "Environmental predictors",
       "type": "image/tiff;application=geotiff[]",
       "weight": 4
     },
-    "data>loadFromStac.yml@18|rasters": {
-      "description": "Land cover layer used for masking non terrestrial pixels",
-      "label": "Land cover map",
-      "type": "image/tiff;application=geotiff[]",
-      "weight": 5
-    },
-    "SDM>julia_sdms>fitBRT.yml@24|fit_stats": {
-      "description": "Model fit statistics and threshold",
-      "label": "Fit statistics",
-      "type": "text/json",
-      "weight": 6
-    },
     "SDM>julia_sdms>fitBRT.yml@24|sdm": {
       "description": "Map of predicted occurrence probability for selected species using Booster Regression Trees",
       "label": "Predictions",
@@ -707,6 +677,36 @@
       "label": "Spatial uncertainty",
       "type": "image/tiff;application=geotiff",
       "weight": 8
+    },
+    "SDM>julia_sdms>fitBRT.yml@24|fit_stats": {
+      "description": "Model fit statistics and threshold",
+      "label": "Fit statistics",
+      "type": "text/json",
+      "weight": 6
+    },
+    "filtering>cleanCoordinates.yml@21|clean_presence": {
+      "description": "Dataframe, table with clean presence points from GBIF for selected species",
+      "label": "Presences",
+      "type": "text/tab-separated-values",
+      "weight": 2
+    },
+    "data>loadFromStac.yml@18|rasters": {
+      "description": "Land cover layer used for masking non terrestrial pixels",
+      "label": "Land cover map",
+      "type": "image/tiff;application=geotiff[]",
+      "weight": 5
+    },
+    "pipeline@30": {
+      "label": "Species name",
+      "description": "Species for which the distribution model is generated",
+      "weight": 1
+    },
+    "filtering>cleanCoordinates.yml@21|n_clean": {
+      "description": "Number of occurrences from GBIF after data cleaning",
+      "label": "Number of occurrences",
+      "type": "int",
+      "example": 400,
+      "weight": 3
     }
   },
   "metadata": {