diff --git a/aurora/transfer_function/kernel_dataset.py b/aurora/transfer_function/kernel_dataset.py
index 6fa481f1..35383c83 100644
--- a/aurora/transfer_function/kernel_dataset.py
+++ b/aurora/transfer_function/kernel_dataset.py
@@ -381,7 +381,7 @@ def has_remote_mth5(self):
             return False
         else:
             return self.remote_mth5_path.exists()
-            
+
     @property
     def processing_id(self):
         """its difficult to come put with unique ids without crazy long names
@@ -389,9 +389,12 @@ def processing_id(self):
         will have run information and the config parameters.
         """
         if self.remote_station_id is not None:
-            return f"{self.local_station_id}-rr_{self.remote_station_id}"
+            return (
+                f"{self.local_station_id}-rr_{self.remote_station_id}_"
+                f"sr{int(self.sample_rate)}"
+            )
         else:
-            return self.local_station_id
+            return f"{self.local_station_id}_sr{int(self.sample_rate)}"
 
     @property
     def input_channels(self):
diff --git a/tests/transfer_function/test_kernel_dataset.py b/tests/transfer_function/test_kernel_dataset.py
index 1ec0e6e0..72c3e9d6 100644
--- a/tests/transfer_function/test_kernel_dataset.py
+++ b/tests/transfer_function/test_kernel_dataset.py
@@ -8,11 +8,13 @@
 from mth5.data.make_mth5_from_asc import MTH5_PATH, create_test12rr_h5
 
 from aurora.transfer_function import KERNEL_DATASET_COLUMNS
-from aurora.pipelines.run_summary import RunSummary
 
-from aurora.transfer_function.kernel_dataset import intervals_overlap
-from aurora.transfer_function.kernel_dataset import overlap
-from aurora.transfer_function.kernel_dataset import KernelDataset
+from aurora.pipelines.run_summary import RunSummary
+from aurora.transfer_function.kernel_dataset import (
+    intervals_overlap,
+    overlap,
+    KernelDataset,
+)
 
 # =============================================================================
 
@@ -98,7 +100,7 @@ def test_local_df(self):
         with self.subTest("shape"):
             self.assertEqual(self.kd.local_df.shape, (1, 20))
         with self.subTest("local station only length"):
-            self.assertEqual(len(self.kd.local_df.station.unqiue()), 1)
+            self.assertEqual(len(self.kd.local_df.station.unique()), 1)
         with self.subTest("local station only"):
             self.assertListEqual(
                 list(self.kd.local_df.station.unique()), ["test1"]
@@ -108,13 +110,14 @@ def test_remote_df(self):
         with self.subTest("shape"):
             self.assertEqual(self.kd.remote_df.shape, (1, 20))
         with self.subTest("remote station only length"):
-            self.assertEqual(len(self.kd.remote_df.station.unqiue()), 1)
+            self.assertEqual(len(self.kd.remote_df.station.unique()), 1)
         with self.subTest("remote station only"):
             self.assertListEqual(
-                list(self.kd.remote_df.station.unique()), ["test1"]
+                list(self.kd.remote_df.station.unique()), ["test2"]
             )
+
     def test_processing_id(self):
-        self.assertEqual(self.kd.processing_id, "test1-rr_test2")
+        self.assertEqual(self.kd.processing_id, "test1-rr_test2_sr1")
 
     # @classmethod
     # def tearDownClass(self):