diff --git a/lib/iris/tests/results/unit/merge/ProtoCube/register__CubeSig/noise.txt b/lib/iris/tests/results/unit/merge/ProtoCube/register__CubeSig/noise.txt
index 3191fd4af6..c330646e72 100644
--- a/lib/iris/tests/results/unit/merge/ProtoCube/register__CubeSig/noise.txt
+++ b/lib/iris/tests/results/unit/merge/ProtoCube/register__CubeSig/noise.txt
@@ -4,4 +4,4 @@ failed to merge into a single cube.
   cube.attributes keys differ: 'stuffed'
   cube.cell_methods differ
   cube.shape differs: (3,) != (2,)
-  cube data dtype differs: int64 != float64
\ No newline at end of file
+  cube data dtype differs: int64 != int8
\ No newline at end of file
diff --git a/lib/iris/tests/unit/lazy_data/test_array_masked_to_nans.py b/lib/iris/tests/unit/lazy_data/test_array_masked_to_nans.py
index cc2d72fdd9..8f210dd495 100644
--- a/lib/iris/tests/unit/lazy_data/test_array_masked_to_nans.py
+++ b/lib/iris/tests/unit/lazy_data/test_array_masked_to_nans.py
@@ -36,14 +36,13 @@ def _common_checks(self, result):
         self.assertFalse(ma.isMaskedArray(result))
 
     def test_masked(self):
-        masked_array = ma.masked_array([[1.0, 2.0], [3.0, 4.0]],
-                                       mask=[[0, 1], [0, 0]])
+        mask = [[False, True], [False, False]]
+        masked_array = ma.masked_array([[1.0, 2.0], [3.0, 4.0]], mask=mask)
 
         result = array_masked_to_nans(masked_array)
 
         self._common_checks(result)
-        self.assertArrayAllClose(np.isnan(result),
-                                 [[False, True], [False, False]])
+        self.assertArrayAllClose(np.isnan(result), mask)
         result[0, 1] = 777.7
         self.assertArrayAllClose(result, [[1.0, 777.7], [3.0, 4.0]])
 
@@ -70,15 +69,14 @@ def test_no_mask(self):
         self.assertArrayAllClose(result, masked_array.data)
 
     def test_masked__integers(self):
-        masked_array = ma.masked_array([[1, 2], [3, 4]],
-                                       mask=[[0, 1], [0, 0]])
+        mask = [[False, True], [False, False]]
+        masked_array = ma.masked_array([[1, 2], [3, 4]], mask=mask)
 
         result = array_masked_to_nans(masked_array)
 
         self._common_checks(result)
         self.assertEqual(result.dtype, np.dtype('f8'))
-        self.assertArrayAllClose(np.isnan(result),
-                                 [[False, True], [False, False]])
+        self.assertArrayAllClose(np.isnan(result), mask)
         result[0, 1] = 777.7
         self.assertArrayAllClose(result, [[1.0, 777.7], [3.0, 4.0]])