diff --git a/mlair/helpers/data_sources/join.py b/mlair/helpers/data_sources/join.py
index df3b358ed187d4c6460f3d40b7ec20599526b86d..a978b2712a83b21f3c1256b2bf0826da63bdda3a 100644
--- a/mlair/helpers/data_sources/join.py
+++ b/mlair/helpers/data_sources/join.py
@@ -80,7 +80,7 @@ def download_join(station_name: Union[str, List[str]], stat_var: dict, station_t
                 data = correct_data_format(data)
 
             # correct namespace of statistics
-            stat = _correct_stat_name(stat_var[var])
+            stat = toar_data.correct_stat_name(stat_var[var])
 
             # store data in pandas dataframe
             df = _save_to_pandas(df, data, stat, var)
@@ -344,20 +344,6 @@ def _save_to_pandas(df: Union[pd.DataFrame, None], data: dict, stat: str, var: s
     return df
 
 
-def _correct_stat_name(stat: str) -> str:
-    """
-    Map given statistic name to new namespace defined by mapping dict.
-
-    Return given name stat if not element of mapping namespace.
-
-    :param stat: namespace from JOIN server
-
-    :return: stat mapped to local namespace
-    """
-    mapping = {'average_values': 'mean', 'maximum': 'max', 'minimum': 'min'}
-    return mapping.get(stat, stat)
-
-
 def _lower_list(args: List[str]) -> Iterator[str]:
     """
     Lower all elements of given list.
diff --git a/mlair/helpers/data_sources/toar_data.py b/mlair/helpers/data_sources/toar_data.py
index c2aecfd3b72b6abecff8f85892427921c1081e6c..27522855cbe0f3c6f0b78d1598709a694fc7b862 100644
--- a/mlair/helpers/data_sources/toar_data.py
+++ b/mlair/helpers/data_sources/toar_data.py
@@ -112,3 +112,17 @@ def merge_toar_join(df_toar, df_join, sampling):
     full_data = df_toar.reindex(full_time)
     full_data.update(df_join, overwrite=False)
     return full_data
+
+
+def correct_stat_name(stat: str) -> str:
+    """
+    Map given statistic name to new namespace defined by mapping dict.
+
+    Return given name stat if not element of mapping namespace.
+
+    :param stat: namespace from JOIN server
+
+    :return: stat mapped to local namespace
+    """
+    mapping = {'average_values': 'mean', 'maximum': 'max', 'minimum': 'min'}
+    return mapping.get(stat, stat)
diff --git a/mlair/helpers/data_sources/toar_data_v2.py b/mlair/helpers/data_sources/toar_data_v2.py
index a592d2d16e6873ae8dfcef9b27698aaeca35ccb4..0fa53a7eb23f11675eeef2c12a7d5dceec3c38ac 100644
--- a/mlair/helpers/data_sources/toar_data_v2.py
+++ b/mlair/helpers/data_sources/toar_data_v2.py
@@ -13,8 +13,7 @@ from timezonefinder import TimezoneFinder
 
 from mlair.configuration.toar_data_v2_settings import toar_data_v2_settings
 from mlair.helpers import to_list
-from mlair.helpers.data_sources.toar_data import EmptyQueryResult, get_data
-from mlair.helpers.data_sources import join
+from mlair.helpers.data_sources.toar_data import EmptyQueryResult, get_data, correct_stat_name
 
 
 str_or_none = Union[str, None]
@@ -174,8 +173,9 @@ def load_timeseries_data(timeseries_meta, url_base, opts, headers, sampling):
         res = get_data(opts, headers, as_json=False)
         data = pd.read_csv(StringIO(res), comment="#", index_col="datetime", parse_dates=True,
                            infer_datetime_format=True)
-        data = data[join._correct_stat_name(opts.get("names", "value"))].rename(meta["variable"]["name"])
-        coll.append(data)
+        if len(data.index) > 0:
+            data = data[correct_stat_name(opts.get("names", "value"))].rename(meta["variable"]["name"])
+            coll.append(data)
     return coll
 
 
diff --git a/test/test_helpers/test_data_sources/test_join.py b/test/test_helpers/test_data_sources/test_join.py
index 0a9715f5dba725dc7f8fa184021b925857c707eb..f9b12f5a7ff20e898695de0a0f035bed023674f2 100644
--- a/test/test_helpers/test_data_sources/test_join.py
+++ b/test/test_helpers/test_data_sources/test_join.py
@@ -3,7 +3,7 @@ from typing import Iterable
 import pytest
 
 from mlair.helpers.data_sources.join import *
-from mlair.helpers.data_sources.join import _save_to_pandas, _correct_stat_name, _lower_list, _select_distinct_series, \
+from mlair.helpers.data_sources.join import _save_to_pandas, _lower_list, _select_distinct_series, \
     _select_distinct_data_origin, _select_distinct_network
 from mlair.configuration.join_settings import join_settings
 from mlair.helpers.testing import check_nested_equality
@@ -334,18 +334,6 @@ class TestSaveToPandas:
         assert pd.testing.assert_frame_equal(create_df, _save_to_pandas(None, data, 'mean', 'cloudcover')) is None
 
 
-class TestCorrectStatName:
-
-    def test_nothing_to_do(self):
-        assert _correct_stat_name("dma8eu") == "dma8eu"
-        assert _correct_stat_name("max") == "max"
-
-    def test_correct_string(self):
-        assert _correct_stat_name("maximum") == "max"
-        assert _correct_stat_name("minimum") == "min"
-        assert _correct_stat_name("average_values") == "mean"
-
-
 class TestLowerList:
 
     def test_string_lowering(self):
diff --git a/test/test_helpers/test_data_sources/test_toar_data.py b/test/test_helpers/test_data_sources/test_toar_data.py
index 277a637b7d0418289d2b1f78e5e2731957041bcd..abaec10cc580b592d85d7dcc842616c67777f174 100644
--- a/test/test_helpers/test_data_sources/test_toar_data.py
+++ b/test/test_helpers/test_data_sources/test_toar_data.py
@@ -1,5 +1,5 @@
 from mlair.configuration.join_settings import join_settings
-from mlair.helpers.data_sources.toar_data import get_data, create_url
+from mlair.helpers.data_sources.toar_data import get_data, create_url, correct_stat_name
 
 
 class TestGetData:
@@ -38,3 +38,16 @@ class TestCreateUrl:
 
         url = create_url("www.base.edu", "testingservice", param_id=2001, mood="sad", series_id=222)
         assert url == "www.base.edu/testingservice/2001?mood=sad&series_id=222"
+
+
+class TestCorrectStatName:
+
+    def test_nothing_to_do(self):
+        assert correct_stat_name("dma8eu") == "dma8eu"
+        assert correct_stat_name("max") == "max"
+
+    def test_correct_string(self):
+        assert correct_stat_name("maximum") == "max"
+        assert correct_stat_name("minimum") == "min"
+        assert correct_stat_name("average_values") == "mean"
+