diff --git a/src/obsplus/events/schema.py b/src/obsplus/events/schema.py
index dd6422f0..0ed068f6 100644
--- a/src/obsplus/events/schema.py
+++ b/src/obsplus/events/schema.py
@@ -11,7 +11,6 @@
 
 
 import obspy.core.event as ev
-from obspy.core.util.attribdict import AttribDict
 from obspy import UTCDateTime
 from pydantic import (
     model_validator,
@@ -135,18 +134,6 @@
 SourceTimeFunctionType = Literal["box car", "triangle", "trapezoid", "unknown"]
 
 
-def _recursive_dict(attrib):
-    """recursively turn all AttribDict s into normal dicts."""
-    out = dict(attrib)
-    for i, v in out.items():
-        if isinstance(v, AttribDict):
-            out[i] = _recursive_dict(v)
-    return out
-
-
-AttribDictType = Annotated[AttribDict, PlainValidator(_recursive_dict)]
-
-
 def _to_datetime(dt: Union[datetime, UTCDateTime]) -> datetime:
     """Convert object to datatime."""
     return UTCDateTime(dt).datetime
diff --git a/tests/test_utils/test_stations_utils.py b/tests/test_utils/test_stations_utils.py
index 95dbda14..cedf609a 100644
--- a/tests/test_utils/test_stations_utils.py
+++ b/tests/test_utils/test_stations_utils.py
@@ -92,10 +92,7 @@ def inv_df_duplicate_channels(self, df_from_inv):
         year = to_timedelta64(3600) * 24 * 365
         sub_fur["end_date"] = sub_fur["start_date"] - year
         sub_fur["start_date"] = sub_fur["end_date"] - 3 * year
-        new_df = (
-            pd.concat([df_from_inv, sub_fur], axis=0)
-            .reset_index(drop=True)
-        )
+        new_df = pd.concat([df_from_inv, sub_fur], axis=0).reset_index(drop=True)
         return new_df
 
     def test_type(self, inv_from_df):