diff --git a/pyaerocom/aeroval/coldatatojson_engine.py b/pyaerocom/aeroval/coldatatojson_engine.py
index 803020957..f7253cd16 100644
--- a/pyaerocom/aeroval/coldatatojson_engine.py
+++ b/pyaerocom/aeroval/coldatatojson_engine.py
@@ -234,6 +234,8 @@ def process_coldata(self, coldata: ColocatedData):
                 station_names=coldata.data.station_name.values,
                 periods=periods,
                 seasons=seasons,
+                obs_name=obs_name,
+                var_name_web=var_name_web,
             )
 
         logger.info(
@@ -276,6 +278,8 @@ def _process_profile_data_for_visualization(
         station_names: ArrayLike = None,
         periods: tuple[str, ...] = None,
         seasons: tuple[str, ...] = None,
+        obs_name: str = None,
+        var_name_web: str = None,
     ):
         if region_names is None and station_names is None:
             raise ValueError("Both region_id and station_name can not both be None")
@@ -289,8 +293,16 @@ def _process_profile_data_for_visualization(
                 periods=periods,
                 seasons=seasons,
             )
-
-            self.exp_output.add_profile_entry(data, profile_viz, periods, seasons)
+            location = region_names[regid]
+            self.exp_output.add_profile_entry(
+                data,
+                profile_viz,
+                periods,
+                seasons,
+                location=location,
+                network=obs_name,
+                obsvar=var_name_web,
+            )
 
         # Loop through stations
         for station_name in station_names:
@@ -302,7 +314,15 @@ def _process_profile_data_for_visualization(
                 seasons=seasons,
             )
 
-            self.exp_output.add_profile_entry(data, profile_viz, periods, seasons)
+            self.exp_output.add_profile_entry(
+                data,
+                profile_viz,
+                periods,
+                seasons,
+                location=station_name,
+                network=obs_name,
+                obsvar=var_name_web,
+            )
 
     def _process_stats_timeseries_for_all_regions(
         self,
diff --git a/pyaerocom/aeroval/experiment_output.py b/pyaerocom/aeroval/experiment_output.py
index d00b0db4a..a32c785e4 100644
--- a/pyaerocom/aeroval/experiment_output.py
+++ b/pyaerocom/aeroval/experiment_output.py
@@ -1030,7 +1030,14 @@ def write_timeseries(self, data):
                 )
 
     def add_profile_entry(
-        self, data: ColocatedData, profile_viz: dict, periods: list[str], seasons: list[str]
+        self,
+        data: ColocatedData,
+        profile_viz: dict,
+        periods: list[str],
+        seasons: list[str],
+        location,
+        network,
+        obsvar,
     ):
         """Adds an entry for the colocated data to profiles.json.
 
@@ -1041,7 +1048,9 @@ def add_profile_entry(
             seasons (list[str]): seasons to compute over (e.g., All, DJF, etc.)
         """
         with self.avdb.lock():
-            current = self.avdb.get_profiles(self.proj_id, self.exp_id, default={})
+            current = self.avdb.get_profiles(
+                self.proj_id, self.exp_id, location, network, obsvar, default={}
+            )
             current = recursive_defaultdict(current)
 
             for freq, coldata in data.items():
@@ -1084,4 +1093,4 @@ def add_profile_entry(
                     }
                 current[model_name] = round_floats(current[model_name])
 
-            self.avdb.put_profiles(current, self.proj_id, self.exp_id)
+            self.avdb.put_profiles(current, self.proj_id, self.exp_id, location, network, obsvar)
diff --git a/pyproject.toml b/pyproject.toml
index 6543d0733..d2d346a82 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -21,7 +21,7 @@ classifiers = [
 ]
 requires-python = ">=3.10"
 dependencies = [
-    "aerovaldb == 0.0.15",
+    "aerovaldb==0.0.17",
     "scitools-iris>=3.8.1",
     "xarray>=2022.12.0",
     "cartopy>=0.21.1",