diff --git a/.travis.yml b/.travis.yml
index 471c8bd9f6..042f048892 100644
--- a/.travis.yml
+++ b/.travis.yml
@@ -22,16 +22,16 @@ git:
   depth: 10000
 
 install:
-  - export IRIS_TEST_DATA_REF="e8e62ab79a2f8789f01f8dfa9829915984a39b2a"
+  - export IRIS_TEST_DATA_REF="a754fc977d30fdcdacb820b5a5fabd91056afc7b"
   - export IRIS_TEST_DATA_SUFFIX=$(echo "${IRIS_TEST_DATA_REF}" | sed "s/^v//")
 
   # Install miniconda
   # -----------------
-  - export CONDA_BASE=http://repo.continuum.io/miniconda/Miniconda
+  - export CONDA_BASE=https://repo.continuum.io/miniconda/Miniconda
   - if [[ "$TRAVIS_PYTHON_VERSION" == 2* ]]; then
-      wget ${CONDA_BASE}-3.7.0-Linux-x86_64.sh -O miniconda.sh;
+      wget ${CONDA_BASE}2-latest-Linux-x86_64.sh -O miniconda.sh;
     else
-      wget ${CONDA_BASE}3-3.7.0-Linux-x86_64.sh -O miniconda.sh;
+      wget ${CONDA_BASE}3-latest-Linux-x86_64.sh -O miniconda.sh;
     fi
   - bash miniconda.sh -b -p $HOME/miniconda
   - export PATH="$HOME/miniconda/bin:$PATH"
@@ -60,10 +60,6 @@ install:
       fi
     fi
 
-  # Perceptual image hashing (TBD: push recipe to conda-forge!)
-  - conda install pip
-  - pip install imagehash
-
   - PREFIX=$HOME/miniconda/envs/$ENV_NAME
 
   # Output debug info
@@ -75,9 +71,11 @@ install:
   - python -c 'import cartopy; cartopy.io.shapereader.natural_earth()'
 
 # iris test data
-  - wget -O iris-test-data.zip https://github.com/SciTools/iris-test-data/archive/${IRIS_TEST_DATA_REF}.zip
-  - unzip -q iris-test-data.zip
-  - ln -s $(pwd)/iris-test-data-${IRIS_TEST_DATA_SUFFIX} iris-test-data
+  - if [[ "$TEST_MINIMAL" != true ]]; then
+      wget -O iris-test-data.zip https://github.com/SciTools/iris-test-data/archive/${IRIS_TEST_DATA_REF}.zip;
+      unzip -q iris-test-data.zip;
+      ln -s $(pwd)/iris-test-data-${IRIS_TEST_DATA_SUFFIX} iris-test-data;
+    fi
 
 # prepare iris build directory
   - python setup.py --with-unpack build_ext --include-dirs=${PREFIX}/include --library-dirs=${PREFIX}/lib
diff --git a/conda-requirements.txt b/conda-requirements.txt
index e8956ba09b..dfdf58143f 100644
--- a/conda-requirements.txt
+++ b/conda-requirements.txt
@@ -21,6 +21,7 @@ pep8
 sphinx
 iris_sample_data
 filelock
+imagehash
 
 # Optional iris dependencies
 nc_time_axis
diff --git a/lib/iris/coord_systems.py b/lib/iris/coord_systems.py
index 1d23225940..51a95f4506 100644
--- a/lib/iris/coord_systems.py
+++ b/lib/iris/coord_systems.py
@@ -914,11 +914,11 @@ def __repr__(self):
         return ("LambertAzimuthalEqualArea(latitude_of_projection_origin={!r},"
                 " longitude_of_projection_origin={!r}, false_easting={!r},"
                 " false_northing={!r}, ellipsoid={!r})").format(
-                   self.latitude_of_projection_origin,
-                   self.longitude_of_projection_origin,
-                   self.false_easting,
-                   self.false_northing,
-                   self.ellipsoid)
+                    self.latitude_of_projection_origin,
+                    self.longitude_of_projection_origin,
+                    self.false_easting,
+                    self.false_northing,
+                    self.ellipsoid)
 
     def as_cartopy_crs(self):
         if self.ellipsoid is not None:
diff --git a/lib/iris/cube.py b/lib/iris/cube.py
index aa234ea71d..26604ac0e6 100644
--- a/lib/iris/cube.py
+++ b/lib/iris/cube.py
@@ -1835,6 +1835,9 @@ def summary(self, shorten=False, name_padding=35):
 
         nameunit = '{name} / ({units})'.format(name=self.name(),
                                                units=self.units)
+        # If all unknown and a STASH attribute exists, use it.
+        if nameunit == 'unknown / (unknown)' and 'STASH' in self.attributes:
+            nameunit = '{}'.format(self.attributes['STASH'])
         cube_header = '{nameunit!s:{length}} ({dimension})'.format(
             length=name_padding,
             nameunit=nameunit,
diff --git a/lib/iris/experimental/regrid.py b/lib/iris/experimental/regrid.py
index c6123da4f5..06cc8b956e 100644
--- a/lib/iris/experimental/regrid.py
+++ b/lib/iris/experimental/regrid.py
@@ -137,8 +137,8 @@ def _within_bounds(src_bounds, tgt_bounds, orderswap=False):
         extremes of the source bounds.
 
     """
-    min_bound = np.min(src_bounds)
-    max_bound = np.max(src_bounds)
+    min_bound = np.min(src_bounds) - 1e-14
+    max_bound = np.max(src_bounds) + 1e-14
 
     # Swap upper-lower is necessary.
     if orderswap is True:
diff --git a/lib/iris/plot.py b/lib/iris/plot.py
index 5b4f2989db..cccd7102c5 100644
--- a/lib/iris/plot.py
+++ b/lib/iris/plot.py
@@ -27,8 +27,6 @@
 
 import collections
 import datetime
-from functools import wraps
-import threading
 
 import cartopy.crs as ccrs
 import cartopy.mpl.geoaxes
@@ -56,26 +54,6 @@
 
 PlotDefn = collections.namedtuple('PlotDefn', ('coords', 'transpose'))
 
-# Threading reentrant lock to ensure thread-safe plotting.
-_lock = threading.RLock()
-
-
-def _locker(func):
-    """
-    Decorator that ensures a thread-safe atomic operation is
-    performed by the decorated function.
-
-    Uses a shared threading reentrant lock to provide thread-safe
-    plotting by public API functions.
-
-    """
-    @wraps(func)
-    def decorated_func(*args, **kwargs):
-        with _lock:
-            result = func(*args, **kwargs)
-        return result
-    return decorated_func
-
 
 def _get_plot_defn_custom_coords_picked(cube, coords, mode, ndims=2):
     def names(coords):
@@ -686,7 +664,6 @@ def _map_common(draw_method_name, arg_func, mode, cube, plot_defn,
     return plotfn(*new_args, **kwargs)
 
 
-@_locker
 def contour(cube, *args, **kwargs):
     """
     Draws contour lines based on the given Cube.
@@ -711,7 +688,6 @@ def contour(cube, *args, **kwargs):
     return result
 
 
-@_locker
 def contourf(cube, *args, **kwargs):
     """
     Draws filled contours based on the given Cube.
@@ -838,7 +814,6 @@ def _fill_orography(cube, coords, mode, vert_plot, horiz_plot, style_args):
     return result
 
 
-@_locker
 def orography_at_bounds(cube, facecolor='#888888', coords=None, axes=None):
     """Plots orography defined at cell boundaries from the given Cube."""
 
@@ -869,7 +844,6 @@ def horiz_plot(v_coord, orography, style_args):
                            horiz_plot, style_args)
 
 
-@_locker
 def orography_at_points(cube, facecolor='#888888', coords=None, axes=None):
     """Plots orography defined at sample points from the given Cube."""
 
@@ -891,7 +865,6 @@ def horiz_plot(v_coord, orography, style_args):
                            horiz_plot, style_args)
 
 
-@_locker
 def outline(cube, coords=None, color='k', linewidth=None, axes=None):
     """
     Draws cell outlines based on the given Cube.
@@ -929,7 +902,6 @@ def outline(cube, coords=None, color='k', linewidth=None, axes=None):
     return result
 
 
-@_locker
 def pcolor(cube, *args, **kwargs):
     """
     Draws a pseudocolor plot based on the given Cube.
@@ -956,7 +928,6 @@ def pcolor(cube, *args, **kwargs):
     return result
 
 
-@_locker
 def pcolormesh(cube, *args, **kwargs):
     """
     Draws a pseudocolor plot based on the given Cube.
@@ -981,7 +952,6 @@ def pcolormesh(cube, *args, **kwargs):
     return result
 
 
-@_locker
 def points(cube, *args, **kwargs):
     """
     Draws sample point positions based on the given Cube.
@@ -1009,7 +979,6 @@ def _scatter_args(u, v, data, *args, **kwargs):
                                 *args, **kwargs)
 
 
-@_locker
 def plot(*args, **kwargs):
     """
     Draws a line plot based on the given cube(s) or coordinate(s).
@@ -1054,7 +1023,6 @@ def plot(*args, **kwargs):
     return _draw_1d_from_points('plot', _plot_args, *args, **kwargs)
 
 
-@_locker
 def scatter(x, y, *args, **kwargs):
     """
     Draws a scatter plot based on the given cube(s) or coordinate(s).
@@ -1090,7 +1058,6 @@ def scatter(x, y, *args, **kwargs):
 show = plt.show
 
 
-@_locker
 def symbols(x, y, symbols, size, axes=None, units='inches'):
     """
     Draws fixed-size symbols.
@@ -1154,7 +1121,6 @@ def symbols(x, y, symbols, size, axes=None, units='inches'):
     axes.autoscale_view()
 
 
-@_locker
 def citation(text, figure=None, axes=None):
     """
     Add a text citation to a plot.
diff --git a/lib/iris/tests/__init__.py b/lib/iris/tests/__init__.py
index d732a70072..db155743c1 100644
--- a/lib/iris/tests/__init__.py
+++ b/lib/iris/tests/__init__.py
@@ -45,6 +45,7 @@
 import json
 import io
 import logging
+import math
 import os
 import os.path
 import shutil
@@ -183,7 +184,10 @@ def get_data_path(relative_path):
     """
     if not isinstance(relative_path, six.string_types):
         relative_path = os.path.join(*relative_path)
-    data_path = os.path.join(iris.config.TEST_DATA_DIR, relative_path)
+    test_data_dir = iris.config.TEST_DATA_DIR
+    if test_data_dir is None:
+        test_data_dir = ''
+    data_path = os.path.join(test_data_dir, relative_path)
 
     if _EXPORT_DATAPATHS_FILE is not None:
         _EXPORT_DATAPATHS_FILE.write(data_path + '\n')
@@ -281,12 +285,11 @@ def assertCMLApproxData(self, cubes, reference_filename=None, *args,
             reference_filename = [self.get_result_path(reference_filename)]
         for i, cube in enumerate(cubes):
             fname = list(reference_filename)
-            # don't want the ".cml" for the numpy data file
+            # don't want the ".cml" for the json stats file
             if fname[-1].endswith(".cml"):
                 fname[-1] = fname[-1][:-4]
-            fname[-1] += '.data.%d.npy' % i
+            fname[-1] += '.data.%d.json' % i
             self.assertCubeDataAlmostEqual(cube, fname, *args, **kwargs)
-
         self.assertCML(cubes, reference_filename, checksum=False)
 
     def assertCDL(self, netcdf_filename, reference_filename=None, flags='-h'):
@@ -398,32 +401,38 @@ def assertTextFile(self, source_filename, reference_filename, desc="text file"):
             diff = ''.join(difflib.unified_diff(reference_text, source_text, 'Reference', 'Test result', '', '', 0))
             self.fail("%s does not match reference file: %s\n%s" % (desc, reference_filename, diff))
 
-    def assertCubeDataAlmostEqual(self, cube, reference_filename, *args, **kwargs):
+    def assertCubeDataAlmostEqual(self, cube, reference_filename, *args,
+                                  **kwargs):
         reference_path = self.get_result_path(reference_filename)
         if self._check_reference_file(reference_path):
             kwargs.setdefault('err_msg', 'Reference file %s' % reference_path)
-
-            result = np.load(reference_path)
-            if isinstance(result, np.lib.npyio.NpzFile):
-                self.assertIsInstance(cube.data, ma.MaskedArray, 'Cube data was not a masked array.')
-                # Avoid comparing any non-initialised array data.
-                data = cube.data.filled()
-                np.testing.assert_array_almost_equal(data, result['data'],
-                                                     *args, **kwargs)
-                np.testing.assert_array_equal(cube.data.mask, result['mask'])
-            else:
-                np.testing.assert_array_almost_equal(cube.data, result, *args, **kwargs)
+            with open(reference_path, 'r') as reference_file:
+                stats = json.load(reference_file)
+                self.assertEqual(stats.get('shape', []), list(cube.shape))
+                self.assertEqual(stats.get('masked', False),
+                                       isinstance(cube.data, ma.MaskedArray))
+                nstats = np.array((stats.get('mean', 0.), stats.get('std', 0.),
+                                   stats.get('max', 0), stats.get('min', 0)))
+                if math.isnan(stats.get('mean', 0)):
+                    self.assertEqual(math.isnan(stats.get('mean', 0)),
+                                     math.isnan(cube.data.mean()))
+                else:
+                    cube_stats = np.array((cube.data.mean(), cube.data.std(),
+                                           cube.data.max(), cube.data.min()))
+                    self.assertArrayAllClose(nstats, cube_stats, **kwargs)
         else:
             self._ensure_folder(reference_path)
             logger.warning('Creating result file: %s', reference_path)
+            masked = False
             if isinstance(cube.data, ma.MaskedArray):
-                # Avoid recording any non-initialised array data.
-                data = cube.data.filled()
-                with open(reference_path, 'wb') as reference_file:
-                    np.savez(reference_file, data=data, mask=cube.data.mask)
-            else:
-                with open(reference_path, 'wb') as reference_file:
-                    np.save(reference_file, cube.data)
+                masked = True
+            stats = {'mean': np.float_(cube.data.mean()),
+                     'std': np.float_(cube.data.std()),
+                     'max': np.float_(cube.data.max()),
+                     'min': np.float_(cube.data.min()),
+                     'shape': cube.shape, 'masked': masked}
+            with open(reference_path, 'w') as reference_file:
+                reference_file.write(json.dumps(stats))
 
     def assertFilesEqual(self, test_filename, reference_filename):
         reference_path = self.get_result_path(reference_filename)
@@ -666,7 +675,7 @@ def _ensure_folder(self, path):
             logger.warning('Creating folder: %s', dir_path)
             os.makedirs(dir_path)
 
-    def _assert_graphic(self, tol=_HAMMING_DISTANCE):
+    def check_graphic(self):
         """
         Check the hash of the current matplotlib figure matches the expected
         image hash for the current graphic test.
@@ -725,24 +734,15 @@ def _create_missing():
                 figure.savefig(hash_fname)
                 msg = 'Creating imagerepo entry: {} -> {}'
                 print(msg.format(unique_id, uri))
-                with open(repo_fname, 'wb') as fo:
-                    json.dump(repo, codecs.getwriter('utf-8')(fo), indent=4,
-                              sort_keys=True)
-
-            # TBD: Push this fix to imagehash (done!)
-            # See https://github.com/JohannesBuchner/imagehash/pull/31
-            # Now need this imagehash/master pushed to pypi ...
-            def _hex_to_hash(hexstr, hash_size=_HASH_SIZE):
-                l = []
-                count = hash_size * (hash_size // 4)
-                if len(hexstr) != count:
-                    emsg = 'Expected hex string size of {}.'
-                    raise ValueError(emsg.format(count))
-                for i in range(count // 2):
-                    h = hexstr[i*2:i*2+2]
-                    v = int("0x" + h, 16)
-                    l.append([v & 2**i > 0 for i in range(8)])
-                return imagehash.ImageHash(np.array(l))
+                lock = filelock.FileLock(os.path.join(_RESULT_PATH,
+                                                      'imagerepo.lock'))
+                # The imagerepo.json file is a critical resource, so ensure
+                # thread safe read/write behaviour via platform independent
+                # file locking.
+                with lock.acquire(timeout=600):
+                    with open(repo_fname, 'wb') as fo:
+                        json.dump(repo, codecs.getwriter('utf-8')(fo),
+                                  indent=4, sort_keys=True)
 
             # Calculate the test result perceptual image hash.
             buffer = io.BytesIO()
@@ -761,13 +761,15 @@ def _hex_to_hash(hexstr, hash_size=_HASH_SIZE):
             else:
                 uris = repo[unique_id]
                 # Create the expected perceptual image hashes from the uris.
-                expected = [_hex_to_hash(os.path.splitext(os.path.basename(uri))[0])
+                to_hash = imagehash.hex_to_hash
+                expected = [to_hash(os.path.splitext(os.path.basename(uri))[0],
+                                    hash_size=_HASH_SIZE)
                             for uri in uris]
 
                 # Calculate the hamming distance vector for the result hash.
                 distances = [e - phash for e in expected]
 
-                if np.all([hd > tol for hd in distances]):
+                if np.all([hd > _HAMMING_DISTANCE for hd in distances]):
                     if dev_mode:
                         _create_missing()
                     else:
@@ -788,19 +790,6 @@ def _hex_to_hash(hexstr, hash_size=_HASH_SIZE):
         finally:
             plt.close()
 
-    def check_graphic(self):
-        """
-        Checks that the image hash for the current matplotlib figure matches
-        the expected image hash for the current test.
-
-        """
-        fname = os.path.join(_RESULT_PATH, 'imagerepo.lock')
-        lock = filelock.FileLock(fname)
-        # The imagerepo.json file is a critical resource, so ensure thread
-        # safe read/write behaviour via platform independent file locking.
-        with lock.acquire(timeout=600):
-            self._assert_graphic()
-
     def _remove_testcase_patches(self):
         """Helper to remove per-testcase patches installed by :meth:`patch`."""
         # Remove all patches made, ignoring errors.
diff --git a/lib/iris/tests/experimental/regrid/test_regrid_area_weighted_rectilinear_src_and_grid.py b/lib/iris/tests/experimental/regrid/test_regrid_area_weighted_rectilinear_src_and_grid.py
index 2bcf89da35..8fdd3ee9ab 100644
--- a/lib/iris/tests/experimental/regrid/test_regrid_area_weighted_rectilinear_src_and_grid.py
+++ b/lib/iris/tests/experimental/regrid/test_regrid_area_weighted_rectilinear_src_and_grid.py
@@ -155,6 +155,7 @@ def _resampled_grid(cube, x_samplefactor, y_samplefactor):
     return new_cube
 
 
+@tests.skip_data
 class TestAreaWeightedRegrid(tests.IrisTest):
     def setUp(self):
         # A cube with a hybrid height derived coordinate.
diff --git a/lib/iris/tests/experimental/regrid/test_regrid_conservative_via_esmpy.py b/lib/iris/tests/experimental/regrid/test_regrid_conservative_via_esmpy.py
index cfc219bfc2..2f553da8ee 100644
--- a/lib/iris/tests/experimental/regrid/test_regrid_conservative_via_esmpy.py
+++ b/lib/iris/tests/experimental/regrid/test_regrid_conservative_via_esmpy.py
@@ -226,6 +226,7 @@ def test_simple_missing_data(self):
                                [True, False, False, False, True],
                                [True, True, True, True, True]])
 
+    @tests.skip_data
     def test_multidimensional(self):
         """
         Check valid operation on a multidimensional cube.
diff --git a/lib/iris/tests/idiff.py b/lib/iris/tests/idiff.py
index f2e1364d54..7ba1df3898 100755
--- a/lib/iris/tests/idiff.py
+++ b/lib/iris/tests/idiff.py
@@ -137,25 +137,11 @@ def skip(event):
     plt.show()
 
 
-# TBD: Push this fix to imagehash (done!)
-# See https://github.com/JohannesBuchner/imagehash/pull/31
-# Now need this imagehash/master pushed to pypi ...
-def _hex_to_hash(hexstr, hash_size=iris.tests._HASH_SIZE):
-    l = []
-    count = hash_size * (hash_size // 4)
-    if len(hexstr) != count:
-        emsg = 'Expected hex string size of {}.'
-        raise ValueError(emsg.format(count))
-    for i in range(count // 2):
-        h = hexstr[i*2:i*2+2]
-        v = int("0x" + h, 16)
-        l.append([v & 2**i > 0 for i in range(8)])
-    return imagehash.ImageHash(np.array(l))
-
-
 def _calculate_hit(uris, phash, action):
     # Create the expected perceptual image hashes from the uris.
-    expected = [_hex_to_hash(os.path.splitext(os.path.basename(uri))[0])
+    to_hash = imagehash.hex_to_hash
+    expected = [to_hash(os.path.splitext(os.path.basename(uri))[0],
+                        hash_size=_HASH_SIZE)
                 for uri in uris]
     # Calculate the hamming distance vector for the result hash.
     distances = [e - phash for e in expected]
diff --git a/lib/iris/tests/integration/test_netcdf.py b/lib/iris/tests/integration/test_netcdf.py
index de998564ba..20e1e95bbd 100644
--- a/lib/iris/tests/integration/test_netcdf.py
+++ b/lib/iris/tests/integration/test_netcdf.py
@@ -44,6 +44,7 @@
 import iris.tests.stock as stock
 
 
+@tests.skip_data
 class TestHybridPressure(tests.IrisTest):
     def setUp(self):
         # Modify stock cube so it is suitable to have a
@@ -79,6 +80,7 @@ def test_save_load_loop(self):
             self.assertEqual(cube, other_cube)
 
 
+@tests.skip_data
 class TestSaveMultipleAuxFactories(tests.IrisTest):
     def test_hybrid_height_and_pressure(self):
         cube = stock.realistic_4d()
@@ -306,6 +308,7 @@ def test_unknown_method(self):
             shutil.rmtree(temp_dirpath)
 
 
+@tests.skip_data
 class TestCoordSystem(tests.IrisTest):
     def test_load_laea_grid(self):
         cube = iris.load_cube(
diff --git a/lib/iris/tests/integration/test_pp.py b/lib/iris/tests/integration/test_pp.py
index a327b8ca66..8bf3880d0a 100644
--- a/lib/iris/tests/integration/test_pp.py
+++ b/lib/iris/tests/integration/test_pp.py
@@ -637,6 +637,7 @@ def test_time_mean_and_zonal_mean(self):
         self.assertEqual(int(field.lbproc), 192)
 
 
+@tests.skip_data
 class TestCallbackLoad(tests.IrisTest):
     def setUp(self):
         self.pass_name = 'air_potential_temperature'
diff --git a/lib/iris/tests/results/analysis/apply_ifunc.data.0.json b/lib/iris/tests/results/analysis/apply_ifunc.data.0.json
new file mode 100644
index 0000000000..3c3dde46b3
--- /dev/null
+++ b/lib/iris/tests/results/analysis/apply_ifunc.data.0.json
@@ -0,0 +1 @@
+{"std": 600.0958251953125, "min": 5.4993666708469391e-05, "max": 2069.03369140625, "shape": [73, 96], "masked": false, "mean": 664.99627685546875}
\ No newline at end of file
diff --git a/lib/iris/tests/results/analysis/apply_ifunc.data.0.npy b/lib/iris/tests/results/analysis/apply_ifunc.data.0.npy
deleted file mode 100644
index 5eabfad532..0000000000
Binary files a/lib/iris/tests/results/analysis/apply_ifunc.data.0.npy and /dev/null differ
diff --git a/lib/iris/tests/results/analysis/apply_ifunc_frompyfunc.data.0.json b/lib/iris/tests/results/analysis/apply_ifunc_frompyfunc.data.0.json
new file mode 100644
index 0000000000..1b77395e01
--- /dev/null
+++ b/lib/iris/tests/results/analysis/apply_ifunc_frompyfunc.data.0.json
@@ -0,0 +1 @@
+{"std": 848.63707924732125, "min": 2.0000550754478277, "max": 2927.4700625478599, "shape": [73, 96], "masked": false, "mean": 941.88598170710736}
\ No newline at end of file
diff --git a/lib/iris/tests/results/analysis/apply_ifunc_frompyfunc.data.0.npy b/lib/iris/tests/results/analysis/apply_ifunc_frompyfunc.data.0.npy
deleted file mode 100644
index d9faaaf93e..0000000000
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diff --git a/lib/iris/tests/results/analysis/min_latitude_longitude.data.0.json b/lib/iris/tests/results/analysis/min_latitude_longitude.data.0.json
new file mode 100644
index 0000000000..be45ae3906
--- /dev/null
+++ b/lib/iris/tests/results/analysis/min_latitude_longitude.data.0.json
@@ -0,0 +1 @@
+{"std": 0.0, "min": 98385.0, "max": 98385.0, "shape": [10], "masked": true, "mean": 98385.0}
\ No newline at end of file
diff --git a/lib/iris/tests/results/analysis/min_latitude_longitude.data.0.npy b/lib/iris/tests/results/analysis/min_latitude_longitude.data.0.npy
deleted file mode 100644
index 8ae56407a3..0000000000
Binary files a/lib/iris/tests/results/analysis/min_latitude_longitude.data.0.npy and /dev/null differ
diff --git a/lib/iris/tests/results/analysis/min_latitude_longitude_1call.data.0.json b/lib/iris/tests/results/analysis/min_latitude_longitude_1call.data.0.json
new file mode 100644
index 0000000000..be45ae3906
--- /dev/null
+++ b/lib/iris/tests/results/analysis/min_latitude_longitude_1call.data.0.json
@@ -0,0 +1 @@
+{"std": 0.0, "min": 98385.0, "max": 98385.0, "shape": [10], "masked": true, "mean": 98385.0}
\ No newline at end of file
diff --git a/lib/iris/tests/results/analysis/min_latitude_longitude_1call.data.0.npy b/lib/iris/tests/results/analysis/min_latitude_longitude_1call.data.0.npy
deleted file mode 100644
index 8ae56407a3..0000000000
Binary files a/lib/iris/tests/results/analysis/min_latitude_longitude_1call.data.0.npy and /dev/null differ
diff --git a/lib/iris/tests/results/analysis/regrid/linear_both_circular.data.0.json b/lib/iris/tests/results/analysis/regrid/linear_both_circular.data.0.json
new file mode 100644
index 0000000000..9a7f53d9b4
--- /dev/null
+++ b/lib/iris/tests/results/analysis/regrid/linear_both_circular.data.0.json
@@ -0,0 +1 @@
+{"std": 2.5880997180938721, "min": 254.64399719238281, "max": 261.7274169921875, "shape": [4, 4], "masked": false, "mean": 258.11480712890625}
\ No newline at end of file
diff --git a/lib/iris/tests/results/analysis/regrid/linear_both_circular.data.0.npy b/lib/iris/tests/results/analysis/regrid/linear_both_circular.data.0.npy
deleted file mode 100644
index 4076eaa086..0000000000
Binary files a/lib/iris/tests/results/analysis/regrid/linear_both_circular.data.0.npy and /dev/null differ
diff --git a/lib/iris/tests/results/analysis/regrid/linear_circular_grid.data.0.json b/lib/iris/tests/results/analysis/regrid/linear_circular_grid.data.0.json
new file mode 100644
index 0000000000..1496975251
--- /dev/null
+++ b/lib/iris/tests/results/analysis/regrid/linear_circular_grid.data.0.json
@@ -0,0 +1 @@
+{"std": 2.5862049308282899, "min": 254.64399719238281, "max": 261.68328857421875, "shape": [4, 4], "masked": true, "mean": 258.11273193359375}
\ No newline at end of file
diff --git a/lib/iris/tests/results/analysis/regrid/linear_circular_grid.data.0.npy b/lib/iris/tests/results/analysis/regrid/linear_circular_grid.data.0.npy
deleted file mode 100644
index f54d537169..0000000000
Binary files a/lib/iris/tests/results/analysis/regrid/linear_circular_grid.data.0.npy and /dev/null differ
diff --git a/lib/iris/tests/results/analysis/regrid/linear_circular_src.data.0.json b/lib/iris/tests/results/analysis/regrid/linear_circular_src.data.0.json
new file mode 100644
index 0000000000..9a7f53d9b4
--- /dev/null
+++ b/lib/iris/tests/results/analysis/regrid/linear_circular_src.data.0.json
@@ -0,0 +1 @@
+{"std": 2.5880997180938721, "min": 254.64399719238281, "max": 261.7274169921875, "shape": [4, 4], "masked": false, "mean": 258.11480712890625}
\ No newline at end of file
diff --git a/lib/iris/tests/results/analysis/regrid/linear_circular_src.data.0.npy b/lib/iris/tests/results/analysis/regrid/linear_circular_src.data.0.npy
deleted file mode 100644
index 4076eaa086..0000000000
Binary files a/lib/iris/tests/results/analysis/regrid/linear_circular_src.data.0.npy and /dev/null differ
diff --git a/lib/iris/tests/results/analysis/regrid/linear_circular_srcmissingmask.cml b/lib/iris/tests/results/analysis/regrid/linear_circular_srcmissingmask.cml
new file mode 100644
index 0000000000..fc218d2157
--- /dev/null
+++ b/lib/iris/tests/results/analysis/regrid/linear_circular_srcmissingmask.cml
@@ -0,0 +1,72 @@
+<?xml version="1.0" ?>
+<cubes xmlns="urn:x-iris:cubeml-0.2">
+  <cube standard_name="air_temperature" units="K">
+    <attributes>
+      <attribute name="STASH" value="m01s16i203"/>
+      <attribute name="source" value="Data from Met Office Unified Model"/>
+    </attributes>
+    <coords>
+      <coord datadims="[0, 1]">
+        <auxCoord id="9041e969" points="[[260.259246826, 260.259246826, 260.259246826,
+ 		260.259246826],
+		[373.731048584, 378.316101074, 377.580688477,
+ 		374.184997559],
+		[487.202819824, 496.37298584, 494.902130127,
+ 		488.110778809],
+		[600.674621582, 614.42980957, 612.223571777,
+ 		602.036560059]]" shape="(4, 4)" standard_name="altitude" units="Unit('m')" value_type="float64">
+          <attributes>
+            <attribute name="positive" value="up"/>
+          </attributes>
+        </auxCoord>
+      </coord>
+      <coord>
+        <dimCoord bounds="[[-28083.0, 6477.0]]" id="1d45e087" points="[6477]" shape="(1,)" standard_name="forecast_period" units="Unit('hours')" value_type="int32"/>
+      </coord>
+      <coord>
+        <dimCoord id="9c8bdf81" points="[243363.0]" shape="(1,)" standard_name="forecast_reference_time" units="Unit('hours since 1970-01-01 00:00:00', calendar='360_day')" value_type="float64"/>
+      </coord>
+      <coord datadims="[0]">
+        <dimCoord id="77a50eb5" points="[90.0, 87.5, 85.0, 82.5]" shape="(4,)" standard_name="latitude" units="Unit('degrees')" value_type="float32">
+          <geogCS earth_radius="6371229.0"/>
+        </dimCoord>
+      </coord>
+      <coord>
+        <auxCoord id="fb105c19" long_name="level_height" points="[0]" shape="(1,)" units="Unit('m')" value_type="int64">
+          <attributes>
+            <attribute name="positive" value="up"/>
+          </attributes>
+        </auxCoord>
+      </coord>
+      <coord datadims="[1]">
+        <dimCoord id="f913a8b3" points="[-5.0, -1.25, 2.5, 6.25]" shape="(4,)" standard_name="longitude" units="Unit('degrees')" value_type="float32">
+          <geogCS earth_radius="6371229.0"/>
+        </dimCoord>
+      </coord>
+      <coord>
+        <dimCoord id="6eef7051" long_name="pressure" points="[1000.0]" shape="(1,)" units="Unit('hPa')" value_type="float32"/>
+      </coord>
+      <coord>
+        <auxCoord id="a5c170db" long_name="sigma" points="[1]" shape="(1,)" units="Unit('1')" value_type="int64"/>
+      </coord>
+      <coord datadims="[0, 1]">
+        <auxCoord id="b15e3a2e" points="[[260.259, 260.259, 260.259, 260.259],
+		[373.731, 378.316, 377.581, 374.185],
+		[487.203, 496.373, 494.902, 488.111],
+		[600.675, 614.43, 612.224, 602.037]]" shape="(4, 4)" standard_name="surface_altitude" units="Unit('m')" value_type="float32"/>
+      </coord>
+      <coord>
+        <dimCoord bounds="[[215280.0, 249840.0]]" id="cb784457" points="[249840.0]" shape="(1,)" standard_name="time" units="Unit('hours since 1970-01-01 00:00:00', calendar='360_day')" value_type="float64"/>
+      </coord>
+    </coords>
+    <cellMethods>
+      <cellMethod method="mean within years">
+        <coord name="time"/>
+      </cellMethod>
+      <cellMethod method="mean over years">
+        <coord name="time"/>
+      </cellMethod>
+    </cellMethods>
+    <data dtype="float32" shape="(4, 4)" state="loaded"/>
+  </cube>
+</cubes>
diff --git a/lib/iris/tests/results/analysis/regrid/linear_circular_srcmissingmask.data.0.json b/lib/iris/tests/results/analysis/regrid/linear_circular_srcmissingmask.data.0.json
new file mode 100644
index 0000000000..c84a1ac854
--- /dev/null
+++ b/lib/iris/tests/results/analysis/regrid/linear_circular_srcmissingmask.data.0.json
@@ -0,0 +1 @@
+{"std": 2.588099748331198, "min": 254.64399719238281, "max": 261.7274169921875, "shape": [4, 4], "masked": true, "mean": 258.11480712890625}
\ No newline at end of file
diff --git a/lib/iris/tests/results/analysis/regrid/linear_masked_altitude.data.0.json b/lib/iris/tests/results/analysis/regrid/linear_masked_altitude.data.0.json
new file mode 100644
index 0000000000..36714edf9c
--- /dev/null
+++ b/lib/iris/tests/results/analysis/regrid/linear_masked_altitude.data.0.json
@@ -0,0 +1 @@
+{"std": 0.33354389667510986, "min": 286.5152587890625, "max": 288.0738525390625, "shape": [5, 2, 4, 5], "masked": false, "mean": 287.3565673828125}
\ No newline at end of file
diff --git a/lib/iris/tests/results/analysis/regrid/linear_masked_altitude.data.0.npy b/lib/iris/tests/results/analysis/regrid/linear_masked_altitude.data.0.npy
deleted file mode 100644
index ea15d32b53..0000000000
Binary files a/lib/iris/tests/results/analysis/regrid/linear_masked_altitude.data.0.npy and /dev/null differ
diff --git a/lib/iris/tests/results/analysis/regrid/linear_non_circular.data.0.json b/lib/iris/tests/results/analysis/regrid/linear_non_circular.data.0.json
new file mode 100644
index 0000000000..1496975251
--- /dev/null
+++ b/lib/iris/tests/results/analysis/regrid/linear_non_circular.data.0.json
@@ -0,0 +1 @@
+{"std": 2.5862049308282899, "min": 254.64399719238281, "max": 261.68328857421875, "shape": [4, 4], "masked": true, "mean": 258.11273193359375}
\ No newline at end of file
diff --git a/lib/iris/tests/results/analysis/regrid/linear_non_circular.data.0.npy b/lib/iris/tests/results/analysis/regrid/linear_non_circular.data.0.npy
deleted file mode 100644
index f54d537169..0000000000
Binary files a/lib/iris/tests/results/analysis/regrid/linear_non_circular.data.0.npy and /dev/null differ
diff --git a/lib/iris/tests/results/analysis/regrid/linear_partial_overlap.data.0.json b/lib/iris/tests/results/analysis/regrid/linear_partial_overlap.data.0.json
new file mode 100644
index 0000000000..19bcce33e2
--- /dev/null
+++ b/lib/iris/tests/results/analysis/regrid/linear_partial_overlap.data.0.json
@@ -0,0 +1 @@
+{"std": 0.33802566423192859, "min": 286.60049438476562, "max": 287.97402954101562, "shape": [5, 2, 4, 4], "masked": true, "mean": 287.31777343750002}
\ No newline at end of file
diff --git a/lib/iris/tests/results/analysis/regrid/linear_partial_overlap.data.0.npy b/lib/iris/tests/results/analysis/regrid/linear_partial_overlap.data.0.npy
deleted file mode 100644
index 86c93e538a..0000000000
Binary files a/lib/iris/tests/results/analysis/regrid/linear_partial_overlap.data.0.npy and /dev/null differ
diff --git a/lib/iris/tests/results/analysis/regrid/linear_subset.data.0.json b/lib/iris/tests/results/analysis/regrid/linear_subset.data.0.json
new file mode 100644
index 0000000000..36714edf9c
--- /dev/null
+++ b/lib/iris/tests/results/analysis/regrid/linear_subset.data.0.json
@@ -0,0 +1 @@
+{"std": 0.33354389667510986, "min": 286.5152587890625, "max": 288.0738525390625, "shape": [5, 2, 4, 5], "masked": false, "mean": 287.3565673828125}
\ No newline at end of file
diff --git a/lib/iris/tests/results/analysis/regrid/linear_subset.data.0.npy b/lib/iris/tests/results/analysis/regrid/linear_subset.data.0.npy
deleted file mode 100644
index ea15d32b53..0000000000
Binary files a/lib/iris/tests/results/analysis/regrid/linear_subset.data.0.npy and /dev/null differ
diff --git a/lib/iris/tests/results/analysis/regrid/linear_subset_anon.data.0.json b/lib/iris/tests/results/analysis/regrid/linear_subset_anon.data.0.json
new file mode 100644
index 0000000000..36714edf9c
--- /dev/null
+++ b/lib/iris/tests/results/analysis/regrid/linear_subset_anon.data.0.json
@@ -0,0 +1 @@
+{"std": 0.33354389667510986, "min": 286.5152587890625, "max": 288.0738525390625, "shape": [5, 2, 4, 5], "masked": false, "mean": 287.3565673828125}
\ No newline at end of file
diff --git a/lib/iris/tests/results/analysis/regrid/linear_subset_anon.data.0.npy b/lib/iris/tests/results/analysis/regrid/linear_subset_anon.data.0.npy
deleted file mode 100644
index ea15d32b53..0000000000
Binary files a/lib/iris/tests/results/analysis/regrid/linear_subset_anon.data.0.npy and /dev/null differ
diff --git a/lib/iris/tests/results/analysis/regrid/linear_subset_masked_1.data.0.json b/lib/iris/tests/results/analysis/regrid/linear_subset_masked_1.data.0.json
new file mode 100644
index 0000000000..f74b89b3ec
--- /dev/null
+++ b/lib/iris/tests/results/analysis/regrid/linear_subset_masked_1.data.0.json
@@ -0,0 +1 @@
+{"std": 0.32071127247937192, "min": 286.5152587890625, "max": 287.922607421875, "shape": [5, 2, 4, 5], "masked": true, "mean": 287.31103515625}
\ No newline at end of file
diff --git a/lib/iris/tests/results/analysis/regrid/linear_subset_masked_1.data.0.npy b/lib/iris/tests/results/analysis/regrid/linear_subset_masked_1.data.0.npy
deleted file mode 100644
index c6cbc66f6c..0000000000
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diff --git a/lib/iris/tests/results/analysis/regrid/linear_subset_masked_2.data.0.json b/lib/iris/tests/results/analysis/regrid/linear_subset_masked_2.data.0.json
new file mode 100644
index 0000000000..9202c611db
--- /dev/null
+++ b/lib/iris/tests/results/analysis/regrid/linear_subset_masked_2.data.0.json
@@ -0,0 +1 @@
+{"std": 0.30926843652344405, "min": 286.81167602539062, "max": 288.0738525390625, "shape": [5, 2, 4, 5], "masked": true, "mean": 287.44599609375001}
\ No newline at end of file
diff --git a/lib/iris/tests/results/analysis/regrid/linear_subset_masked_2.data.0.npy b/lib/iris/tests/results/analysis/regrid/linear_subset_masked_2.data.0.npy
deleted file mode 100644
index f9ee1d948b..0000000000
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diff --git a/lib/iris/tests/results/analysis/regrid/nearest_both_circular.data.0.json b/lib/iris/tests/results/analysis/regrid/nearest_both_circular.data.0.json
new file mode 100644
index 0000000000..484b8b268c
--- /dev/null
+++ b/lib/iris/tests/results/analysis/regrid/nearest_both_circular.data.0.json
@@ -0,0 +1 @@
+{"std": 0.0, "min": 254.64399719238281, "max": 254.64399719238281, "shape": [4, 4], "masked": false, "mean": 254.64399719238281}
\ No newline at end of file
diff --git a/lib/iris/tests/results/analysis/regrid/nearest_both_circular.data.0.npy b/lib/iris/tests/results/analysis/regrid/nearest_both_circular.data.0.npy
deleted file mode 100644
index fe9a1ba4db..0000000000
Binary files a/lib/iris/tests/results/analysis/regrid/nearest_both_circular.data.0.npy and /dev/null differ
diff --git a/lib/iris/tests/results/analysis/regrid/nearest_circular_grid.data.0.json b/lib/iris/tests/results/analysis/regrid/nearest_circular_grid.data.0.json
new file mode 100644
index 0000000000..dfccef151d
--- /dev/null
+++ b/lib/iris/tests/results/analysis/regrid/nearest_circular_grid.data.0.json
@@ -0,0 +1 @@
+{"std": 0.0, "min": 254.64399719238281, "max": 254.64399719238281, "shape": [4, 4], "masked": true, "mean": 254.64399719238281}
\ No newline at end of file
diff --git a/lib/iris/tests/results/analysis/regrid/nearest_circular_grid.data.0.npy b/lib/iris/tests/results/analysis/regrid/nearest_circular_grid.data.0.npy
deleted file mode 100644
index 788eabcd5e..0000000000
Binary files a/lib/iris/tests/results/analysis/regrid/nearest_circular_grid.data.0.npy and /dev/null differ
diff --git a/lib/iris/tests/results/analysis/regrid/nearest_circular_src.data.0.json b/lib/iris/tests/results/analysis/regrid/nearest_circular_src.data.0.json
new file mode 100644
index 0000000000..484b8b268c
--- /dev/null
+++ b/lib/iris/tests/results/analysis/regrid/nearest_circular_src.data.0.json
@@ -0,0 +1 @@
+{"std": 0.0, "min": 254.64399719238281, "max": 254.64399719238281, "shape": [4, 4], "masked": false, "mean": 254.64399719238281}
\ No newline at end of file
diff --git a/lib/iris/tests/results/analysis/regrid/nearest_circular_src.data.0.npy b/lib/iris/tests/results/analysis/regrid/nearest_circular_src.data.0.npy
deleted file mode 100644
index fe9a1ba4db..0000000000
Binary files a/lib/iris/tests/results/analysis/regrid/nearest_circular_src.data.0.npy and /dev/null differ
diff --git a/lib/iris/tests/results/analysis/regrid/nearest_circular_srcmissingmask.cml b/lib/iris/tests/results/analysis/regrid/nearest_circular_srcmissingmask.cml
new file mode 100644
index 0000000000..00ba3885bf
--- /dev/null
+++ b/lib/iris/tests/results/analysis/regrid/nearest_circular_srcmissingmask.cml
@@ -0,0 +1,72 @@
+<?xml version="1.0" ?>
+<cubes xmlns="urn:x-iris:cubeml-0.2">
+  <cube standard_name="air_temperature" units="K">
+    <attributes>
+      <attribute name="STASH" value="m01s16i203"/>
+      <attribute name="source" value="Data from Met Office Unified Model"/>
+    </attributes>
+    <coords>
+      <coord datadims="[0, 1]">
+        <auxCoord id="9041e969" points="[[260.259246826, 260.259246826, 260.259246826,
+ 		260.259246826],
+		[260.259246826, 260.259246826, 260.259246826,
+ 		260.259246826],
+		[260.259246826, 260.259246826, 260.259246826,
+ 		260.259246826],
+		[260.259246826, 260.259246826, 260.259246826,
+ 		260.259246826]]" shape="(4, 4)" standard_name="altitude" units="Unit('m')" value_type="float64">
+          <attributes>
+            <attribute name="positive" value="up"/>
+          </attributes>
+        </auxCoord>
+      </coord>
+      <coord>
+        <dimCoord bounds="[[-28083.0, 6477.0]]" id="1d45e087" points="[6477]" shape="(1,)" standard_name="forecast_period" units="Unit('hours')" value_type="int32"/>
+      </coord>
+      <coord>
+        <dimCoord id="9c8bdf81" points="[243363.0]" shape="(1,)" standard_name="forecast_reference_time" units="Unit('hours since 1970-01-01 00:00:00', calendar='360_day')" value_type="float64"/>
+      </coord>
+      <coord datadims="[0]">
+        <dimCoord id="77a50eb5" points="[90.0, 87.5, 85.0, 82.5]" shape="(4,)" standard_name="latitude" units="Unit('degrees')" value_type="float32">
+          <geogCS earth_radius="6371229.0"/>
+        </dimCoord>
+      </coord>
+      <coord>
+        <auxCoord id="fb105c19" long_name="level_height" points="[0]" shape="(1,)" units="Unit('m')" value_type="int64">
+          <attributes>
+            <attribute name="positive" value="up"/>
+          </attributes>
+        </auxCoord>
+      </coord>
+      <coord datadims="[1]">
+        <dimCoord id="f913a8b3" points="[-5.0, -1.25, 2.5, 6.25]" shape="(4,)" standard_name="longitude" units="Unit('degrees')" value_type="float32">
+          <geogCS earth_radius="6371229.0"/>
+        </dimCoord>
+      </coord>
+      <coord>
+        <dimCoord id="6eef7051" long_name="pressure" points="[1000.0]" shape="(1,)" units="Unit('hPa')" value_type="float32"/>
+      </coord>
+      <coord>
+        <auxCoord id="a5c170db" long_name="sigma" points="[1]" shape="(1,)" units="Unit('1')" value_type="int64"/>
+      </coord>
+      <coord datadims="[0, 1]">
+        <auxCoord id="b15e3a2e" points="[[260.259, 260.259, 260.259, 260.259],
+		[260.259, 260.259, 260.259, 260.259],
+		[260.259, 260.259, 260.259, 260.259],
+		[260.259, 260.259, 260.259, 260.259]]" shape="(4, 4)" standard_name="surface_altitude" units="Unit('m')" value_type="float32"/>
+      </coord>
+      <coord>
+        <dimCoord bounds="[[215280.0, 249840.0]]" id="cb784457" points="[249840.0]" shape="(1,)" standard_name="time" units="Unit('hours since 1970-01-01 00:00:00', calendar='360_day')" value_type="float64"/>
+      </coord>
+    </coords>
+    <cellMethods>
+      <cellMethod method="mean within years">
+        <coord name="time"/>
+      </cellMethod>
+      <cellMethod method="mean over years">
+        <coord name="time"/>
+      </cellMethod>
+    </cellMethods>
+    <data dtype="float32" shape="(4, 4)" state="loaded"/>
+  </cube>
+</cubes>
diff --git a/lib/iris/tests/results/analysis/regrid/nearest_circular_srcmissingmask.data.0.json b/lib/iris/tests/results/analysis/regrid/nearest_circular_srcmissingmask.data.0.json
new file mode 100644
index 0000000000..dfccef151d
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diff --git a/lib/iris/tests/results/regrid/bilinear_larger_lon_extrapolate_right.data.0.json b/lib/iris/tests/results/regrid/bilinear_larger_lon_extrapolate_right.data.0.json
new file mode 100644
index 0000000000..ca948c42df
--- /dev/null
+++ b/lib/iris/tests/results/regrid/bilinear_larger_lon_extrapolate_right.data.0.json
@@ -0,0 +1 @@
+{"std": 4.6518816947937012, "min": -2.0, "max": 13.5, "shape": [4, 5], "masked": false, "mean": 5.9000000953674316}
\ No newline at end of file
diff --git a/lib/iris/tests/results/regrid/bilinear_larger_lon_extrapolate_right.data.0.npy b/lib/iris/tests/results/regrid/bilinear_larger_lon_extrapolate_right.data.0.npy
deleted file mode 100644
index 65e3a181d4..0000000000
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diff --git a/lib/iris/tests/results/regrid/bilinear_smaller.data.0.json b/lib/iris/tests/results/regrid/bilinear_smaller.data.0.json
new file mode 100644
index 0000000000..e3adacb147
--- /dev/null
+++ b/lib/iris/tests/results/regrid/bilinear_smaller.data.0.json
@@ -0,0 +1 @@
+{"std": 2.1602468490600586, "min": 2.5, "max": 8.5, "shape": [2, 3], "masked": false, "mean": 5.5}
\ No newline at end of file
diff --git a/lib/iris/tests/results/regrid/bilinear_smaller.data.0.npy b/lib/iris/tests/results/regrid/bilinear_smaller.data.0.npy
deleted file mode 100644
index 8d2eea8c73..0000000000
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diff --git a/lib/iris/tests/results/regrid/bilinear_smaller_lon_align_left.data.0.json b/lib/iris/tests/results/regrid/bilinear_smaller_lon_align_left.data.0.json
new file mode 100644
index 0000000000..b60594f0a5
--- /dev/null
+++ b/lib/iris/tests/results/regrid/bilinear_smaller_lon_align_left.data.0.json
@@ -0,0 +1 @@
+{"std": 2.1602468490600586, "min": 2.0, "max": 8.0, "shape": [2, 3], "masked": false, "mean": 5.0}
\ No newline at end of file
diff --git a/lib/iris/tests/results/regrid/bilinear_smaller_lon_align_left.data.0.npy b/lib/iris/tests/results/regrid/bilinear_smaller_lon_align_left.data.0.npy
deleted file mode 100644
index a105d6bcb0..0000000000
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diff --git a/lib/iris/tests/results/regrid/bilinear_smaller_lon_align_right.data.0.json b/lib/iris/tests/results/regrid/bilinear_smaller_lon_align_right.data.0.json
new file mode 100644
index 0000000000..74786e568a
--- /dev/null
+++ b/lib/iris/tests/results/regrid/bilinear_smaller_lon_align_right.data.0.json
@@ -0,0 +1 @@
+{"std": 2.1602468490600586, "min": 3.0, "max": 9.0, "shape": [2, 3], "masked": false, "mean": 6.0}
\ No newline at end of file
diff --git a/lib/iris/tests/results/regrid/bilinear_smaller_lon_align_right.data.0.npy b/lib/iris/tests/results/regrid/bilinear_smaller_lon_align_right.data.0.npy
deleted file mode 100644
index fe9a91636b..0000000000
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diff --git a/lib/iris/tests/results/regrid/low_med_high.data.0.json b/lib/iris/tests/results/regrid/low_med_high.data.0.json
new file mode 100644
index 0000000000..d64741ce40
--- /dev/null
+++ b/lib/iris/tests/results/regrid/low_med_high.data.0.json
@@ -0,0 +1 @@
+{"std": 3.7925365302569376, "min": 0.0, "max": 11.0, "shape": [5, 6], "masked": false, "mean": 5.5}
\ No newline at end of file
diff --git a/lib/iris/tests/results/regrid/low_med_high.data.0.npy b/lib/iris/tests/results/regrid/low_med_high.data.0.npy
deleted file mode 100644
index aec9817eeb..0000000000
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diff --git a/lib/iris/tests/results/regrid/low_med_high.data.1.json b/lib/iris/tests/results/regrid/low_med_high.data.1.json
new file mode 100644
index 0000000000..fb58052aab
--- /dev/null
+++ b/lib/iris/tests/results/regrid/low_med_high.data.1.json
@@ -0,0 +1 @@
+{"std": 6.0184900284225957, "min": 0.0, "max": 19.0, "shape": [5, 6], "masked": false, "mean": 8.3333333333333339}
\ No newline at end of file
diff --git a/lib/iris/tests/results/regrid/low_med_high.data.1.npy b/lib/iris/tests/results/regrid/low_med_high.data.1.npy
deleted file mode 100644
index e427fbff36..0000000000
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diff --git a/lib/iris/tests/results/regrid/low_med_high.data.2.json b/lib/iris/tests/results/regrid/low_med_high.data.2.json
new file mode 100644
index 0000000000..ac1c1a2b8c
--- /dev/null
+++ b/lib/iris/tests/results/regrid/low_med_high.data.2.json
@@ -0,0 +1 @@
+{"std": 8.6554414483991895, "min": 0.0, "max": 29.0, "shape": [5, 6], "masked": false, "mean": 14.5}
\ No newline at end of file
diff --git a/lib/iris/tests/results/regrid/low_med_high.data.2.npy b/lib/iris/tests/results/regrid/low_med_high.data.2.npy
deleted file mode 100644
index e14d51a630..0000000000
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diff --git a/lib/iris/tests/results/regrid/theta_on_airpress_0d.data.0.json b/lib/iris/tests/results/regrid/theta_on_airpress_0d.data.0.json
new file mode 100644
index 0000000000..292ae75826
--- /dev/null
+++ b/lib/iris/tests/results/regrid/theta_on_airpress_0d.data.0.json
@@ -0,0 +1 @@
+{"std": 0.0, "min": 282.12796020507812, "max": 282.12796020507812, "shape": [], "masked": false, "mean": 282.12796020507812}
\ No newline at end of file
diff --git a/lib/iris/tests/results/regrid/theta_on_airpress_0d.data.0.npy b/lib/iris/tests/results/regrid/theta_on_airpress_0d.data.0.npy
deleted file mode 100644
index f03d94aa6c..0000000000
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diff --git a/lib/iris/tests/results/regrid/theta_on_airpress_1d.data.0.json b/lib/iris/tests/results/regrid/theta_on_airpress_1d.data.0.json
new file mode 100644
index 0000000000..0ad78fb933
--- /dev/null
+++ b/lib/iris/tests/results/regrid/theta_on_airpress_1d.data.0.json
@@ -0,0 +1 @@
+{"std": 0.20830129086971283, "min": 282.77932739257812, "max": 283.23013305664062, "shape": [4], "masked": false, "mean": 283.0235595703125}
\ No newline at end of file
diff --git a/lib/iris/tests/results/regrid/theta_on_airpress_1d.data.0.npy b/lib/iris/tests/results/regrid/theta_on_airpress_1d.data.0.npy
deleted file mode 100644
index d38bec2bb4..0000000000
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diff --git a/lib/iris/tests/results/regrid/theta_on_airpress_2d.data.0.json b/lib/iris/tests/results/regrid/theta_on_airpress_2d.data.0.json
new file mode 100644
index 0000000000..1e19a7c045
--- /dev/null
+++ b/lib/iris/tests/results/regrid/theta_on_airpress_2d.data.0.json
@@ -0,0 +1 @@
+{"std": 0.89102786779403687, "min": 281.37478637695312, "max": 284.1317138671875, "shape": [4, 4], "masked": false, "mean": 282.7205810546875}
\ No newline at end of file
diff --git a/lib/iris/tests/results/regrid/theta_on_airpress_2d.data.0.npy b/lib/iris/tests/results/regrid/theta_on_airpress_2d.data.0.npy
deleted file mode 100644
index c8d6757e78..0000000000
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diff --git a/lib/iris/tests/results/regrid/theta_on_airpress_3d.data.0.json b/lib/iris/tests/results/regrid/theta_on_airpress_3d.data.0.json
new file mode 100644
index 0000000000..62fbe8491a
--- /dev/null
+++ b/lib/iris/tests/results/regrid/theta_on_airpress_3d.data.0.json
@@ -0,0 +1 @@
+{"std": 1.0716584920883179, "min": 281.37478637695312, "max": 285.50057983398438, "shape": [5, 4, 4], "masked": false, "mean": 283.49774169921875}
\ No newline at end of file
diff --git a/lib/iris/tests/results/regrid/theta_on_airpress_3d.data.0.npy b/lib/iris/tests/results/regrid/theta_on_airpress_3d.data.0.npy
deleted file mode 100644
index 958f90b662..0000000000
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diff --git a/lib/iris/tests/results/unit/analysis/cartography/project/TestAll/cube.data.0.json b/lib/iris/tests/results/unit/analysis/cartography/project/TestAll/cube.data.0.json
new file mode 100644
index 0000000000..d340b7856c
--- /dev/null
+++ b/lib/iris/tests/results/unit/analysis/cartography/project/TestAll/cube.data.0.json
@@ -0,0 +1 @@
+{"std": 0.22496461010978716, "min": 287.27520751953125, "max": 288.09292602539062, "shape": [2, 3, 10, 10], "masked": true, "mean": 287.67258522727275}
\ No newline at end of file
diff --git a/lib/iris/tests/results/unit/analysis/cartography/project/TestAll/cube.data.0.npy b/lib/iris/tests/results/unit/analysis/cartography/project/TestAll/cube.data.0.npy
deleted file mode 100644
index d032ab2f64..0000000000
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diff --git a/lib/iris/tests/results/unit/cube/Cube/intersection__Metadata/metadata.data.0.json b/lib/iris/tests/results/unit/cube/Cube/intersection__Metadata/metadata.data.0.json
new file mode 100644
index 0000000000..124c32d225
--- /dev/null
+++ b/lib/iris/tests/results/unit/cube/Cube/intersection__Metadata/metadata.data.0.json
@@ -0,0 +1 @@
+{"std": 1242.753662109375, "min": 170.0, "max": 4150.0, "shape": [4, 3, 21], "masked": false, "mean": 2160.0}
\ No newline at end of file
diff --git a/lib/iris/tests/results/unit/cube/Cube/intersection__Metadata/metadata.data.0.npy b/lib/iris/tests/results/unit/cube/Cube/intersection__Metadata/metadata.data.0.npy
deleted file mode 100644
index 6ba26de74c..0000000000
Binary files a/lib/iris/tests/results/unit/cube/Cube/intersection__Metadata/metadata.data.0.npy and /dev/null differ
diff --git a/lib/iris/tests/results/unit/cube/Cube/intersection__Metadata/metadata_wrapped.data.0.json b/lib/iris/tests/results/unit/cube/Cube/intersection__Metadata/metadata_wrapped.data.0.json
new file mode 100644
index 0000000000..2f4603efd2
--- /dev/null
+++ b/lib/iris/tests/results/unit/cube/Cube/intersection__Metadata/metadata_wrapped.data.0.json
@@ -0,0 +1 @@
+{"std": 1254.9412841796875, "min": 0.0, "max": 4319.0, "shape": [4, 3, 21], "masked": false, "mean": 2151.428466796875}
\ No newline at end of file
diff --git a/lib/iris/tests/results/unit/cube/Cube/intersection__Metadata/metadata_wrapped.data.0.npy b/lib/iris/tests/results/unit/cube/Cube/intersection__Metadata/metadata_wrapped.data.0.npy
deleted file mode 100644
index a5484a97a1..0000000000
Binary files a/lib/iris/tests/results/unit/cube/Cube/intersection__Metadata/metadata_wrapped.data.0.npy and /dev/null differ
diff --git a/lib/iris/tests/runner/_runner.py b/lib/iris/tests/runner/_runner.py
index 3f049963ec..2aa643b29b 100644
--- a/lib/iris/tests/runner/_runner.py
+++ b/lib/iris/tests/runner/_runner.py
@@ -163,7 +163,7 @@ def run(self):
 
         args = ['', None, '--processes=%s' % n_processors,
                 '--verbosity=2', regexp_pat,
-                '--process-timeout=600']
+                '--process-timeout=180']
         try:
             import gribapi
         except ImportError:
diff --git a/lib/iris/tests/stock.py b/lib/iris/tests/stock.py
index cd5c1bb3c2..df63472690 100644
--- a/lib/iris/tests/stock.py
+++ b/lib/iris/tests/stock.py
@@ -1,4 +1,4 @@
-# (C) British Crown Copyright 2010 - 2015, Met Office
+# (C) British Crown Copyright 2010 - 2016, Met Office
 #
 # This file is part of Iris.
 #
@@ -471,8 +471,9 @@ def realistic_4d():
 #    >>> arrays.append(theta.data)
 #    >>> arrays.append(theta.coord('sigma').coord_system.orography.data)
 #    >>> np.savez('stock_arrays.npz', *arrays)
-
-    data_path = os.path.join(os.path.dirname(__file__), 'stock_arrays.npz')
+    data_path = tests.get_data_path(('stock', 'stock_arrays.npz'))
+    if not os.path.isfile(data_path):
+        raise IOError('Test data is not available at {}.'.format(data_path))
     r = np.load(data_path)
     # sort the arrays based on the order they were originally given. The names given are of the form 'arr_1' or 'arr_10'
     _, arrays =  zip(*sorted(six.iteritems(r), key=lambda item: int(item[0][4:])))
@@ -526,7 +527,9 @@ def realistic_4d_no_derived():
 
 
 def realistic_4d_w_missing_data():
-    data_path = os.path.join(os.path.dirname(__file__), 'stock_mdi_arrays.npz')
+    data_path = tests.get_data_path(('stock', 'stock_mdi_arrays.npz'))
+    if not os.path.isfile(data_path):
+        raise IOError('Test data is not available at {}.'.format(data_path))
     data_archive = np.load(data_path)
     data = ma.masked_array(data_archive['arr_0'], mask=data_archive['arr_1'])
 
diff --git a/lib/iris/tests/stock_arrays.npz b/lib/iris/tests/stock_arrays.npz
deleted file mode 100644
index 76fa668266..0000000000
Binary files a/lib/iris/tests/stock_arrays.npz and /dev/null differ
diff --git a/lib/iris/tests/test_analysis.py b/lib/iris/tests/test_analysis.py
index fe13dd4214..ebc5cea557 100644
--- a/lib/iris/tests/test_analysis.py
+++ b/lib/iris/tests/test_analysis.py
@@ -212,30 +212,30 @@ def _common(self, name, aggregate, original_name='original_common.cml', *args, *
         self.assertCML(self.cube, ('analysis', original_name))
 
     def test_mean(self):
-        self._common('mean', iris.analysis.MEAN, decimal=1)
+        self._common('mean', iris.analysis.MEAN, rtol=1e-05)
 
     def test_std_dev(self):
         # as the numbers are so high, trim off some trailing digits & compare to 0dp
-        self._common('std_dev', iris.analysis.STD_DEV, decimal=1)
+        self._common('std_dev', iris.analysis.STD_DEV, rtol=1e-05)
 
     def test_hmean(self):
         # harmonic mean requires data > 0
         self.cube.data *= self.cube.data
-        self._common('hmean', iris.analysis.HMEAN, 'original_hmean.cml', decimal=1)
+        self._common('hmean', iris.analysis.HMEAN, 'original_hmean.cml', rtol=1e-05)
 
     def test_gmean(self):
-        self._common('gmean', iris.analysis.GMEAN, decimal=1)
+        self._common('gmean', iris.analysis.GMEAN, rtol=1e-05)
 
     def test_variance(self):
         # as the numbers are so high, trim off some trailing digits & compare to 0dp
-        self._common('variance', iris.analysis.VARIANCE, decimal=1)
+        self._common('variance', iris.analysis.VARIANCE, rtol=1e-05)
 
     def test_median(self):
         self._common('median', iris.analysis.MEDIAN)
 
     def test_sum(self):
         # as the numbers are so high, trim off some trailing digits & compare to 0dp
-        self._common('sum', iris.analysis.SUM, decimal=1)
+        self._common('sum', iris.analysis.SUM, rtol=1e-05)
 
     def test_max(self):
         self._common('max', iris.analysis.MAX)
@@ -656,6 +656,7 @@ def test_area_weights(self):
         self.assertCML(small_cube, ('analysis', 'areaweights_original.cml'),
                        checksum=False)
 
+@tests.skip_data
 class TestAreaWeightGeneration(tests.IrisTest):
     def setUp(self):
         self.cube = iris.tests.stock.realistic_4d()
diff --git a/lib/iris/tests/test_analysis_calculus.py b/lib/iris/tests/test_analysis_calculus.py
index 4464f135f8..39b506e79b 100644
--- a/lib/iris/tests/test_analysis_calculus.py
+++ b/lib/iris/tests/test_analysis_calculus.py
@@ -37,6 +37,7 @@
 
 
 class TestCubeDelta(tests.IrisTest):
+    @tests.skip_data
     def test_invalid(self):
         cube = iris.tests.stock.realistic_4d()
         with self.assertRaises(iris.exceptions.CoordinateMultiDimError):
diff --git a/lib/iris/tests/test_cdm.py b/lib/iris/tests/test_cdm.py
index 15e5a7948f..2c09cff948 100644
--- a/lib/iris/tests/test_cdm.py
+++ b/lib/iris/tests/test_cdm.py
@@ -41,6 +41,7 @@
 import iris.coords
 import iris.cube
 import iris.fileformats
+import iris.fileformats.dot
 import iris.tests.pp as pp
 import iris.tests.stock
 
@@ -214,6 +215,7 @@ def test_immutable_auxcoord_dims(self):
             dims[0] = 1
 
 
+@tests.skip_data
 class TestStockCubeStringRepresentations(tests.IrisTest):
     def setUp(self):
         self.cube = iris.tests.stock.realistic_4d()
@@ -276,10 +278,12 @@ def test_dot_simple_pp(self):
         del cube.attributes['my_attribute']
        
     # TODO hybrid height and dot output - relatitionship links
+    @tests.skip_data
     def test_dot_4d(self):
         cube = iris.tests.stock.realistic_4d()
         self.check_dot(cube, ('file_load', '4d_pp.dot'))
 
+    @tests.skip_data
     def test_missing_coords(self):
         cube = iris.tests.stock.realistic_4d()
         cube.remove_coord('time')
@@ -289,6 +293,7 @@ def test_missing_coords(self):
         self.assertString(str(cube),
                           ('cdm', 'str_repr', 'missing_coords_cube.str.txt'))
 
+    @tests.skip_data
     def test_cubelist_string(self):
         cube_list = iris.cube.CubeList([iris.tests.stock.realistic_4d(),
                                         iris.tests.stock.global_pp()])
@@ -1038,39 +1043,66 @@ def test_multi_d(self):
 
         self.assertCML(cube, ('cube_collapsed', 'original.cml'))
 
-        # Compare 2-stage collapsing with a single stage collapse over 2 Coords.
-        self.collapse_test_common(cube, 'grid_latitude', 'grid_longitude', decimal=1)
-        self.collapse_test_common(cube, 'grid_longitude', 'grid_latitude', decimal=1)
+        # Compare 2-stage collapsing with a single stage collapse
+        # over 2 Coords.
+        self.collapse_test_common(cube, 'grid_latitude', 'grid_longitude',
+                                  rtol=1e-05)
+        self.collapse_test_common(cube, 'grid_longitude', 'grid_latitude',
+                                  rtol=1e-05)
 
-        self.collapse_test_common(cube, 'time', 'grid_latitude', decimal=1)
-        self.collapse_test_common(cube, 'grid_latitude', 'time', decimal=1)
+        self.collapse_test_common(cube, 'time', 'grid_latitude', rtol=1e-05)
+        self.collapse_test_common(cube, 'grid_latitude', 'time', rtol=1e-05)
 
-        self.collapse_test_common(cube, 'time', 'grid_longitude', decimal=1)
-        self.collapse_test_common(cube, 'grid_longitude', 'time', decimal=1)
+        self.collapse_test_common(cube, 'time', 'grid_longitude', rtol=1e-05)
+        self.collapse_test_common(cube, 'grid_longitude', 'time', rtol=1e-05)
 
-        self.collapse_test_common(cube, 'grid_latitude', 'model_level_number', decimal=1)
-        self.collapse_test_common(cube, 'model_level_number', 'grid_latitude', decimal=1)
+        self.collapse_test_common(cube, 'grid_latitude', 'model_level_number',
+                                  rtol=5e-04)
+        self.collapse_test_common(cube, 'model_level_number', 'grid_latitude',
+                                  rtol=5e-04)
 
-        self.collapse_test_common(cube, 'grid_longitude', 'model_level_number', decimal=1)
-        self.collapse_test_common(cube, 'model_level_number', 'grid_longitude', decimal=1)
+        self.collapse_test_common(cube, 'grid_longitude', 'model_level_number',
+                                  rtol=5e-04)
+        self.collapse_test_common(cube, 'model_level_number', 'grid_longitude',
+                                  rtol=5e-04)
 
-        self.collapse_test_common(cube, 'time', 'model_level_number', decimal=1)
-        self.collapse_test_common(cube, 'model_level_number', 'time', decimal=1)
+        self.collapse_test_common(cube, 'time', 'model_level_number',
+                                  rtol=5e-04)
+        self.collapse_test_common(cube, 'model_level_number', 'time',
+                                  rtol=5e-04)
 
-        self.collapse_test_common(cube, 'model_level_number', 'time', decimal=1)
-        self.collapse_test_common(cube, 'time', 'model_level_number', decimal=1)
+        self.collapse_test_common(cube, 'model_level_number', 'time',
+                                  rtol=5e-04)
+        self.collapse_test_common(cube, 'time', 'model_level_number',
+                                  rtol=5e-04)
 
         # Collapse 3 things at once.
-        triple_collapse = cube.collapsed(['model_level_number', 'time', 'grid_longitude'], iris.analysis.MEAN)
-        self.assertCMLApproxData(triple_collapse, ('cube_collapsed', 'triple_collapse_ml_pt_lon.cml'), decimal=1)
-
-        triple_collapse = cube.collapsed(['grid_latitude', 'model_level_number', 'time'], iris.analysis.MEAN)
-        self.assertCMLApproxData(triple_collapse, ('cube_collapsed', 'triple_collapse_lat_ml_pt.cml'), decimal=1)
+        triple_collapse = cube.collapsed(['model_level_number',
+                                          'time', 'grid_longitude'],
+                                          iris.analysis.MEAN)
+        self.assertCMLApproxData(triple_collapse, ('cube_collapsed',
+                                                   ('triple_collapse_ml_pt_'
+                                                    'lon.cml')),
+                                                   rtol=5e-04)
+
+        triple_collapse = cube.collapsed(['grid_latitude',
+                                          'model_level_number', 'time'],
+                                          iris.analysis.MEAN)
+        self.assertCMLApproxData(triple_collapse, ('cube_collapsed',
+                                                   ('triple_collapse_lat_ml'
+                                                   '_pt.cml')),
+                                                   rtol=0.05)
+        # KNOWN PROBLEM: the previous 'rtol' is very large.
+        # Numpy 1.10 and 1.11 give significantly different results here.
+        # This may relate to known problems with summing over large arrays,
+        # which were largely fixed in numpy 1.9 but still occur in some cases,
+        # as-of numpy 1.11.
 
         # Ensure no side effects
         self.assertCML(cube, ('cube_collapsed', 'original.cml'))
-        
-        
+
+
+@tests.skip_data
 class TestTrimAttributes(tests.IrisTest):
     def test_non_string_attributes(self):
         cube = iris.tests.stock.realistic_4d()
@@ -1155,6 +1187,7 @@ def test_save_and_merge(self):
             self.assertEqual(merged_cube.data.fill_value, 123456)
 
 
+@tests.skip_data
 class TestConversionToCoordList(tests.IrisTest):
     def test_coord_conversion(self):
         cube = iris.tests.stock.realistic_4d()
diff --git a/lib/iris/tests/test_constraints.py b/lib/iris/tests/test_constraints.py
index 6977a29d48..e3de548265 100644
--- a/lib/iris/tests/test_constraints.py
+++ b/lib/iris/tests/test_constraints.py
@@ -1,4 +1,4 @@
-# (C) British Crown Copyright 2010 - 2015, Met Office
+# (C) British Crown Copyright 2010 - 2016, Met Office
 #
 # This file is part of Iris.
 #
@@ -43,8 +43,11 @@ def workaround_pending_1262(cubes):
             cubes[i] = cube[::-1]
 
 
+@tests.skip_data
 class TestSimple(tests.IrisTest):
-    slices = iris.cube.CubeList(stock.realistic_4d().slices(['grid_latitude', 'grid_longitude']))
+    def setUp(self):
+        names = ['grid_latitude', 'grid_longitude']
+        self.slices = iris.cube.CubeList(stock.realistic_4d().slices(names))
 
     def test_constraints(self):
         constraint = iris.Constraint(model_level_number=10)
diff --git a/lib/iris/tests/test_coord_api.py b/lib/iris/tests/test_coord_api.py
index 08bff9b56d..5e2811d6ad 100644
--- a/lib/iris/tests/test_coord_api.py
+++ b/lib/iris/tests/test_coord_api.py
@@ -1,4 +1,4 @@
-# (C) British Crown Copyright 2010 - 2015, Met Office
+# (C) British Crown Copyright 2010 - 2016, Met Office
 #
 # This file is part of Iris.
 #
@@ -106,6 +106,7 @@ def test_lazy_shared_data(self):
         self._check_shared_data(self.coord)
 
 
+@tests.skip_data
 class TestCoordSlicing(unittest.TestCase):
     def setUp(self):
         cube = iris.tests.stock.realistic_4d()
@@ -207,6 +208,7 @@ def test_no_intersection_on_unit(self):
         self.a.units = 'kilometer'
         self.assertRaises(ValueError, self.a.intersect, self.b)
 
+    @tests.skip_data
     def test_commutative(self):
         cube = iris.tests.stock.realistic_4d()
         coord = cube.coord('grid_longitude')
@@ -232,6 +234,7 @@ def test_complex(self):
         self.assertXMLElement(coord, ('coord_api', 'complex.xml'))
 
 
+@tests.skip_data
 class TestCoord_ReprStr_nontime(tests.IrisTest):
     def setUp(self):
         self.lat = iris.tests.stock.realistic_4d().coord('grid_latitude')[:10]
@@ -253,6 +256,7 @@ def test_AuxCoord_str(self):
                           ('coord_api', 'str_repr', 'aux_nontime_str.txt'))
 
 
+@tests.skip_data
 class TestCoord_ReprStr_time(tests.IrisTest):
     def setUp(self):
         self.time = iris.tests.stock.realistic_4d().coord('time')
@@ -596,6 +600,7 @@ def test_nd_bounds(self):
         self.assertCML(pcube, ("coord_api", "nd_bounds.cml"))
 
 
+@tests.skip_data
 class TestGetterSetter(tests.IrisTest):
     def test_get_set_points_and_bounds(self):
         cube = iris.tests.stock.realistic_4d()
diff --git a/lib/iris/tests/test_cube_to_pp.py b/lib/iris/tests/test_cube_to_pp.py
index 6c222cd300..dab7298570 100644
--- a/lib/iris/tests/test_cube_to_pp.py
+++ b/lib/iris/tests/test_cube_to_pp.py
@@ -297,7 +297,8 @@ def test_pp_save_rules(self):
             self.assertEqual(self.lbproc_from_pp(temp_filename), lbproc)
 
             os.remove(temp_filename)
-            
+
+    @tests.skip_data
     def test_lbvc(self):
         cube = stock.realistic_4d_no_derived()[0, :4, ...]
         
diff --git a/lib/iris/tests/test_hybrid.py b/lib/iris/tests/test_hybrid.py
index eeef1c394d..8e87512796 100644
--- a/lib/iris/tests/test_hybrid.py
+++ b/lib/iris/tests/test_hybrid.py
@@ -37,6 +37,7 @@
 
 
 @tests.skip_plot
+@tests.skip_data
 class TestRealistic4d(tests.GraphicsTest):
     def setUp(self):
         super(TestRealistic4d, self).setUp()
@@ -160,6 +161,7 @@ def test_bounded_orography(self):
             bounds = altitude.bounds
 
 
+@tests.skip_data
 class TestHybridPressure(tests.IrisTest):
     def setUp(self):
         # Convert the hybrid-height into hybrid-pressure...
diff --git a/lib/iris/tests/test_iterate.py b/lib/iris/tests/test_iterate.py
index 2a53cbc946..6fd601ae19 100644
--- a/lib/iris/tests/test_iterate.py
+++ b/lib/iris/tests/test_iterate.py
@@ -1,4 +1,4 @@
-# (C) British Crown Copyright 2010 - 2015, Met Office
+# (C) British Crown Copyright 2010 - 2016, Met Office
 #
 # This file is part of Iris.
 #
@@ -40,6 +40,7 @@
 from functools import reduce
 
 
+@tests.skip_data
 class TestIterateFunctions(tests.IrisTest):
 
     def setUp(self):
diff --git a/lib/iris/tests/test_mapping.py b/lib/iris/tests/test_mapping.py
index 665a3097f4..75a8690937 100644
--- a/lib/iris/tests/test_mapping.py
+++ b/lib/iris/tests/test_mapping.py
@@ -47,8 +47,11 @@
 
 
 @tests.skip_plot
+@tests.skip_data
 class TestBasic(tests.GraphicsTest):
-    cube = iris.tests.stock.realistic_4d()
+    def setUp(self):
+        super(TestBasic, self).setUp()
+        self.cube = iris.tests.stock.realistic_4d()
 
     def test_contourf(self):
         cube = self.cube[0, 0]
diff --git a/lib/iris/tests/test_netcdf.py b/lib/iris/tests/test_netcdf.py
index b9d5ed905a..6463122409 100644
--- a/lib/iris/tests/test_netcdf.py
+++ b/lib/iris/tests/test_netcdf.py
@@ -300,6 +300,7 @@ def test_bad_permissions(self):
             os.rmdir(dir_name)
 
 
+@tests.skip_data
 class TestSave(tests.IrisTest):
     def test_hybrid(self):
         cube = stock.realistic_4d()
diff --git a/lib/iris/tests/test_plot.py b/lib/iris/tests/test_plot.py
index 63b50eef93..2b9f38688f 100644
--- a/lib/iris/tests/test_plot.py
+++ b/lib/iris/tests/test_plot.py
@@ -42,6 +42,7 @@
     import iris.symbols
 
 
+@tests.skip_data
 def simple_cube():
     cube = iris.tests.stock.realistic_4d()
     cube = cube[:, 0, 0, :]
@@ -102,6 +103,7 @@ def test_missing_cs(self):
 
 
 @tests.skip_plot
+@tests.skip_data
 class TestHybridHeight(tests.GraphicsTest):
     def setUp(self):
         super(TestHybridHeight, self).setUp()
@@ -151,6 +153,7 @@ def test_orography(self):
 
 
 @tests.skip_plot
+@tests.skip_data
 class Test1dPlotMultiArgs(tests.GraphicsTest):
     # tests for iris.plot using multi-argument calling convention
 
@@ -367,6 +370,7 @@ def inner(*args, **kwargs):
 
 
 @cache
+@tests.skip_data
 def _load_4d_testcube():
     # Load example 4d data (TZYX).
     test_cube = iris.tests.stock.realistic_4d()
diff --git a/lib/iris/tests/test_trajectory.py b/lib/iris/tests/test_trajectory.py
index f64de6baed..11e8f09923 100644
--- a/lib/iris/tests/test_trajectory.py
+++ b/lib/iris/tests/test_trajectory.py
@@ -29,6 +29,7 @@
 import iris.tests.stock
 
 
+@tests.skip_data
 class TestSimple(tests.IrisTest):
     def test_invalid_coord(self):
         cube = iris.tests.stock.realistic_4d()
diff --git a/lib/iris/tests/test_util.py b/lib/iris/tests/test_util.py
index bc77d0d7b8..5ffa33d30b 100644
--- a/lib/iris/tests/test_util.py
+++ b/lib/iris/tests/test_util.py
@@ -184,6 +184,7 @@ def test_trim_string_with_no_spaces(self):
             'expected value is %s' % (len(result), expected_length))
 
 
+@tests.skip_data
 class TestDescribeDiff(iris.tests.IrisTest):
     def test_identical(self):
         test_cube_a = stock.realistic_4d()
@@ -262,6 +263,7 @@ def test_output_file(self):
                               'incompatible_cubes.str.txt')
 
 
+@tests.skip_data
 class TestAsCompatibleShape(tests.IrisTest):
     def test_slice(self):
         cube = tests.stock.realistic_4d()
diff --git a/lib/iris/tests/unit/analysis/cartography/test_project.py b/lib/iris/tests/unit/analysis/cartography/test_project.py
index 5e4ef047dd..4adf824107 100644
--- a/lib/iris/tests/unit/analysis/cartography/test_project.py
+++ b/lib/iris/tests/unit/analysis/cartography/test_project.py
@@ -70,28 +70,33 @@ def test_is_iris_coord_system(self):
         self.assertIsNot(res.coord('projection_x_coordinate').coord_system,
                          self.tcs)
 
+    @tests.skip_data
     def test_bad_resolution_negative(self):
         cube = low_res_4d()
         with self.assertRaises(ValueError):
             project(cube, ROBINSON, nx=-200, ny=200)
 
+    @tests.skip_data
     def test_bad_resolution_non_numeric(self):
         cube = low_res_4d()
         with self.assertRaises(ValueError):
             project(cube, ROBINSON, nx=200, ny='abc')
 
+    @tests.skip_data
     def test_missing_lat(self):
         cube = low_res_4d()
         cube.remove_coord('grid_latitude')
         with self.assertRaises(ValueError):
             project(cube, ROBINSON)
 
+    @tests.skip_data
     def test_missing_lon(self):
         cube = low_res_4d()
         cube.remove_coord('grid_longitude')
         with self.assertRaises(ValueError):
             project(cube, ROBINSON)
 
+    @tests.skip_data
     def test_missing_latlon(self):
         cube = low_res_4d()
         cube.remove_coord('grid_longitude')
@@ -99,40 +104,47 @@ def test_missing_latlon(self):
         with self.assertRaises(ValueError):
             project(cube, ROBINSON)
 
+    @tests.skip_data
     def test_default_resolution(self):
         cube = low_res_4d()
         new_cube, extent = project(cube, ROBINSON)
         self.assertEqual(new_cube.shape, cube.shape)
 
+    @tests.skip_data
     def test_explicit_resolution(self):
         cube = low_res_4d()
         nx, ny = 5, 4
         new_cube, extent = project(cube, ROBINSON, nx=nx, ny=ny)
         self.assertEqual(new_cube.shape, cube.shape[:2] + (ny, nx))
 
+    @tests.skip_data
     def test_explicit_resolution_single_point(self):
         cube = low_res_4d()
         nx, ny = 1, 1
         new_cube, extent = project(cube, ROBINSON, nx=nx, ny=ny)
         self.assertEqual(new_cube.shape, cube.shape[:2] + (ny, nx))
 
+    @tests.skip_data
     def test_mismatched_coord_systems(self):
         cube = low_res_4d()
         cube.coord('grid_longitude').coord_system = None
         with self.assertRaises(ValueError):
             project(cube, ROBINSON)
 
+    @tests.skip_data
     def test_extent(self):
         cube = low_res_4d()
         _, extent = project(cube, ROBINSON)
         self.assertEqual(extent, [-17005833.33052523, 17005833.33052523,
                                   -8625155.12857459, 8625155.12857459])
 
+    @tests.skip_data
     def test_cube(self):
         cube = low_res_4d()
         new_cube, _ = project(cube, ROBINSON)
         self.assertCMLApproxData(new_cube)
 
+    @tests.skip_data
     def test_no_coord_system(self):
         cube = low_res_4d()
         cube.coord('grid_longitude').coord_system = None
diff --git a/lib/iris/tests/unit/analysis/interpolate/test_linear.py b/lib/iris/tests/unit/analysis/interpolate/test_linear.py
index 22c9523de5..7ea69ded34 100644
--- a/lib/iris/tests/unit/analysis/interpolate/test_linear.py
+++ b/lib/iris/tests/unit/analysis/interpolate/test_linear.py
@@ -64,6 +64,7 @@ def test_sample_point_iterable(self):
         self._assert_expected_call(sample_points, sample_points_call)
 
 
+@tests.skip_data
 class Test_masks(tests.IrisTest):
     def test_mask_retention(self):
         cube = stock.realistic_4d_w_missing_data()
diff --git a/lib/iris/tests/unit/analysis/interpolation/test_get_xy_dim_coords.py b/lib/iris/tests/unit/analysis/interpolation/test_get_xy_dim_coords.py
index d4fc866714..457bd207f1 100644
--- a/lib/iris/tests/unit/analysis/interpolation/test_get_xy_dim_coords.py
+++ b/lib/iris/tests/unit/analysis/interpolation/test_get_xy_dim_coords.py
@@ -1,4 +1,4 @@
-# (C) British Crown Copyright 2013 - 2015, Met Office
+# (C) British Crown Copyright 2013 - 2016, Met Office
 #
 # This file is part of Iris.
 #
@@ -38,6 +38,7 @@
 
 
 class TestGetXYCoords(tests.IrisTest):
+    @tests.skip_data
     def test_grid_lat_lon(self):
         cube = iris.tests.stock.realistic_4d()
         x, y = get_xy_dim_coords(cube)
@@ -58,18 +59,21 @@ def test_projection_coords(self):
         self.assertIs(x, cube.coord('projection_x_coordinate'))
         self.assertIs(y, cube.coord('projection_y_coordinate'))
 
+    @tests.skip_data
     def test_missing_x_coord(self):
         cube = iris.tests.stock.realistic_4d()
         cube.remove_coord('grid_longitude')
         with self.assertRaises(ValueError):
             get_xy_dim_coords(cube)
 
+    @tests.skip_data
     def test_missing_y_coord(self):
         cube = iris.tests.stock.realistic_4d()
         cube.remove_coord('grid_latitude')
         with self.assertRaises(ValueError):
             get_xy_dim_coords(cube)
 
+    @tests.skip_data
     def test_multiple_coords(self):
         cube = iris.tests.stock.realistic_4d()
         cs = iris.coord_systems.GeogCS(6371229)
diff --git a/lib/iris/tests/unit/analysis/maths/test_add.py b/lib/iris/tests/unit/analysis/maths/test_add.py
index af2c7eb330..24569c2bfd 100644
--- a/lib/iris/tests/unit/analysis/maths/test_add.py
+++ b/lib/iris/tests/unit/analysis/maths/test_add.py
@@ -1,4 +1,4 @@
-# (C) British Crown Copyright 2014 - 2015, Met Office
+# (C) British Crown Copyright 2014 - 2016, Met Office
 #
 # This file is part of Iris.
 #
@@ -30,6 +30,7 @@
     CubeArithmeticBroadcastingTestMixin, CubeArithmeticMaskingTestMixin
 
 
+@tests.skip_data
 class TestBroadcasting(tests.IrisTest, CubeArithmeticBroadcastingTestMixin):
     @property
     def data_op(self):
diff --git a/lib/iris/tests/unit/analysis/maths/test_divide.py b/lib/iris/tests/unit/analysis/maths/test_divide.py
index 7ada2cfc37..d577133af3 100644
--- a/lib/iris/tests/unit/analysis/maths/test_divide.py
+++ b/lib/iris/tests/unit/analysis/maths/test_divide.py
@@ -1,4 +1,4 @@
-# (C) British Crown Copyright 2014 - 2015, Met Office
+# (C) British Crown Copyright 2014 - 2016, Met Office
 #
 # This file is part of Iris.
 #
@@ -32,6 +32,7 @@
     CubeArithmeticBroadcastingTestMixin, CubeArithmeticMaskingTestMixin
 
 
+@tests.skip_data
 class TestBroadcasting(tests.IrisTest, CubeArithmeticBroadcastingTestMixin):
     @property
     def data_op(self):
diff --git a/lib/iris/tests/unit/analysis/maths/test_multiply.py b/lib/iris/tests/unit/analysis/maths/test_multiply.py
index 5dbd089a09..8056796d72 100644
--- a/lib/iris/tests/unit/analysis/maths/test_multiply.py
+++ b/lib/iris/tests/unit/analysis/maths/test_multiply.py
@@ -1,4 +1,4 @@
-# (C) British Crown Copyright 2014 - 2015, Met Office
+# (C) British Crown Copyright 2014 - 2016, Met Office
 #
 # This file is part of Iris.
 #
@@ -30,6 +30,7 @@
     CubeArithmeticBroadcastingTestMixin, CubeArithmeticMaskingTestMixin
 
 
+@tests.skip_data
 class TestBroadcasting(tests.IrisTest, CubeArithmeticBroadcastingTestMixin):
     @property
     def data_op(self):
diff --git a/lib/iris/tests/unit/analysis/maths/test_subtract.py b/lib/iris/tests/unit/analysis/maths/test_subtract.py
index 0b4e4a8568..95464c9af2 100644
--- a/lib/iris/tests/unit/analysis/maths/test_subtract.py
+++ b/lib/iris/tests/unit/analysis/maths/test_subtract.py
@@ -1,4 +1,4 @@
-# (C) British Crown Copyright 2014 - 2015, Met Office
+# (C) British Crown Copyright 2014 - 2016, Met Office
 #
 # This file is part of Iris.
 #
@@ -30,6 +30,7 @@
     CubeArithmeticBroadcastingTestMixin, CubeArithmeticMaskingTestMixin
 
 
+@tests.skip_data
 class TestBroadcasting(tests.IrisTest, CubeArithmeticBroadcastingTestMixin):
     @property
     def data_op(self):
diff --git a/lib/iris/tests/unit/analysis/regrid/test_RectilinearRegridder.py b/lib/iris/tests/unit/analysis/regrid/test_RectilinearRegridder.py
index a307603bad..501d55bc08 100644
--- a/lib/iris/tests/unit/analysis/regrid/test_RectilinearRegridder.py
+++ b/lib/iris/tests/unit/analysis/regrid/test_RectilinearRegridder.py
@@ -1188,6 +1188,7 @@ def test_grid_subset_missing_data_aux(self):
             self.assertCMLApproxData(result, cml)
 
 
+@tests.skip_data
 class Test___call____NOP(tests.IrisTest):
     def setUp(self):
         # The destination grid points are exactly the same as the
@@ -1238,14 +1239,15 @@ def test_non_circular(self):
             cml = RESULT_DIR + ('{}_non_circular.cml'.format(method),)
             self.assertCMLApproxData(result, cml)
 
-    def _check_circular_results(self, src_cube):
+    def _check_circular_results(self, src_cube, missingmask=''):
         results = []
         for method in self.methods:
             regridder = Regridder(src_cube, self.grid, method, self.mode)
             result = regridder(src_cube)
             results.append(result)
             self.assertFalse(result.coord('longitude').circular)
-            cml = RESULT_DIR + ('{}_circular_src.cml'.format(method),)
+            cml = RESULT_DIR + ('{}_circular_src{}.cml'.format(method,
+                                                               missingmask),)
             self.assertCMLApproxData(result, cml)
         return results
 
@@ -1262,7 +1264,7 @@ def test_circular_src__masked_missingmask(self):
         src.coord('longitude').circular = True
         src.data = np.ma.MaskedArray(src.data)
         self.assertEqual(src.data.mask, False)
-        method_results = self._check_circular_results(src)
+        method_results = self._check_circular_results(src, 'missingmask')
         for method_result in method_results:
             self.assertIsInstance(method_result.data.mask, np.ndarray)
             self.assertTrue(np.all(method_result.data.mask == np.array(False)))
diff --git a/lib/iris/tests/unit/cube/test_Cube.py b/lib/iris/tests/unit/cube/test_Cube.py
index 4b51bc53b0..eefbac6ad4 100644
--- a/lib/iris/tests/unit/cube/test_Cube.py
+++ b/lib/iris/tests/unit/cube/test_Cube.py
@@ -409,6 +409,7 @@ def test_kwargs(self):
         self.assertMaskedArrayEqual(expected_result, res_cube.data)
 
 
+@tests.skip_data
 class Test_slices_over(tests.IrisTest):
     def setUp(self):
         self.cube = stock.realistic_4d()
diff --git a/lib/iris/tests/unit/cube/test_CubeList.py b/lib/iris/tests/unit/cube/test_CubeList.py
index 16ad9815c6..260da07c33 100644
--- a/lib/iris/tests/unit/cube/test_CubeList.py
+++ b/lib/iris/tests/unit/cube/test_CubeList.py
@@ -1,4 +1,4 @@
-# (C) British Crown Copyright 2014 - 2015, Met Office
+# (C) British Crown Copyright 2014 - 2016, Met Office
 #
 # This file is part of Iris.
 #
@@ -22,6 +22,7 @@
 # Import iris.tests first so that some things can be initialised before
 # importing anything else.
 import iris.tests as tests
+import iris.tests.stock
 
 from cf_units import Unit
 import numpy as np
@@ -30,6 +31,7 @@
 from iris.coords import AuxCoord, DimCoord
 import iris.coord_systems
 import iris.exceptions
+from iris.fileformats.pp import STASH
 
 
 class Test_concatenate_cube(tests.IrisTest):
@@ -276,5 +278,28 @@ def test_scalar_cube_data_constraint(self):
         self.assertEqual(res, expected)
 
 
+class TestPrint(tests.IrisTest):
+    def setUp(self):
+        self.cubes = CubeList([iris.tests.stock.lat_lon_cube()])
+
+    def test_summary(self):
+        expected = ('0: unknown / (unknown)       '
+                    '          (latitude: 3; longitude: 4)')
+        self.assertEqual(str(self.cubes), expected)
+
+    def test_summary_name_unit(self):
+        self.cubes[0].long_name = 'aname'
+        self.cubes[0].units = '1'
+        expected = ('0: aname / (1)       '
+                    '                  (latitude: 3; longitude: 4)')
+        self.assertEqual(str(self.cubes), expected)
+
+    def test_summary_stash(self):
+        self.cubes[0].attributes['STASH'] = STASH.from_msi('m01s00i004')
+        expected = ('0: m01s00i004       '
+                    '                   (latitude: 3; longitude: 4)')
+        self.assertEqual(str(self.cubes), expected)
+
+
 if __name__ == "__main__":
     tests.main()
diff --git a/lib/iris/tests/unit/experimental/regrid/test_regrid_area_weighted_rectilinear_src_and_grid.py b/lib/iris/tests/unit/experimental/regrid/test_regrid_area_weighted_rectilinear_src_and_grid.py
index 16a63f4d6a..addacbdbf6 100644
--- a/lib/iris/tests/unit/experimental/regrid/test_regrid_area_weighted_rectilinear_src_and_grid.py
+++ b/lib/iris/tests/unit/experimental/regrid/test_regrid_area_weighted_rectilinear_src_and_grid.py
@@ -1,4 +1,4 @@
-# (C) British Crown Copyright 2014 - 2015, Met Office
+# (C) British Crown Copyright 2014 - 2016, Met Office
 #
 # This file is part of Iris.
 #
@@ -150,5 +150,37 @@ def test_scalar_with_overlap_above_mdtol(self):
         self.assertEqual(ma.count_masked(res.data), 1)
 
 
+class TestWrapAround(tests.IrisTest):
+    def test_float_tolerant_equality(self):
+        # Ensure that floating point numbers are treated appropriately when
+        # introducing precision difference from wrap_around.
+        source = Cube([[1]])
+        cs = GeogCS(6371229)
+
+        bounds = np.array([[-91, 0]], dtype='float')
+        points = bounds.mean(axis=1)
+        lon_coord = DimCoord(points, bounds=bounds, standard_name='longitude',
+                             units='degrees', coord_system=cs)
+        source.add_aux_coord(lon_coord, 1)
+
+        bounds = np.array([[-90, 90]], dtype='float')
+        points = bounds.mean(axis=1)
+        lat_coord = DimCoord(points, bounds=bounds, standard_name='latitude',
+                             units='degrees', coord_system=cs)
+        source.add_aux_coord(lat_coord, 0)
+
+        grid = Cube([[0]])
+        bounds = np.array([[270, 360]], dtype='float')
+        points = bounds.mean(axis=1)
+        lon_coord = DimCoord(points, bounds=bounds, standard_name='longitude',
+                             units='degrees', coord_system=cs)
+        grid.add_aux_coord(lon_coord, 1)
+        grid.add_aux_coord(lat_coord, 0)
+
+        res = regrid(source, grid)
+        # The result should be equal to the source data and NOT be masked.
+        self.assertArrayEqual(res.data, np.array([1.0]))
+
+
 if __name__ == '__main__':
     tests.main()
diff --git a/lib/iris/tests/unit/fileformats/dot/test__dot_path.py b/lib/iris/tests/unit/fileformats/dot/test__dot_path.py
index a402d50caf..55c45438a6 100644
--- a/lib/iris/tests/unit/fileformats/dot/test__dot_path.py
+++ b/lib/iris/tests/unit/fileformats/dot/test__dot_path.py
@@ -28,7 +28,7 @@
 
 import mock
 
-from iris.fileformats.dot import _dot_path
+from iris.fileformats.dot import _dot_path, _DOT_EXECUTABLE_PATH
 
 
 class Test(tests.IrisTest):
@@ -37,6 +37,11 @@ def setUp(self):
         # reset the caching status to allow us to see what happens
         # under different circumstances.
         self.patch('iris.fileformats.dot._DOT_CHECKED', new=False)
+        # Also patch the private path variable to the existing value (i.e. no
+        # change), and restore it after each test:  As these tests modify it,
+        # that can potentially break subsequent 'normal' behaviour.
+        self.patch('iris.fileformats.dot._DOT_EXECUTABLE_PATH',
+                   _DOT_EXECUTABLE_PATH)
 
     def test_valid_absolute_path(self):
         # Override the configuration value for System.dot_path
diff --git a/lib/iris/tests/unit/fileformats/test_rules.py b/lib/iris/tests/unit/fileformats/test_rules.py
index b815b0fece..3aa73f05b0 100644
--- a/lib/iris/tests/unit/fileformats/test_rules.py
+++ b/lib/iris/tests/unit/fileformats/test_rules.py
@@ -78,6 +78,7 @@ def transform(cube):
         dest.long_name = src.long_name
         self.assertEqual(dest, src)
 
+    @tests.skip_data
     def test_multiple_cubes_no_transform(self):
         target = ConcreteReferenceTarget('foo')
         src = stock.realistic_4d()
@@ -87,6 +88,7 @@ def test_multiple_cubes_no_transform(self):
         self.assertIsNot(dest, src)
         self.assertEqual(dest, src)
 
+    @tests.skip_data
     def test_multiple_cubes_with_transform(self):
         def transform(cube):
             return {'long_name': 'wibble'}
@@ -152,6 +154,7 @@ def converter(field):
         self.assertTrue(hasattr(aux_factory, 'fake_args'))
         self.assertEqual(aux_factory.fake_args, ({'name': 'foo'},))
 
+    @tests.skip_data
     def test_cross_reference(self):
         # Test the creation process for a factory definition which uses
         # a cross-reference.
diff --git a/lib/iris/tests/unit/util/test_demote_dim_coord_to_aux_coord.py b/lib/iris/tests/unit/util/test_demote_dim_coord_to_aux_coord.py
index 02e06c3aa7..a840b5c419 100644
--- a/lib/iris/tests/unit/util/test_demote_dim_coord_to_aux_coord.py
+++ b/lib/iris/tests/unit/util/test_demote_dim_coord_to_aux_coord.py
@@ -1,4 +1,4 @@
-# (C) British Crown Copyright 2010 - 2015, Met Office
+# (C) British Crown Copyright 2010 - 2016, Met Office
 #
 # This file is part of Iris.
 #
@@ -38,6 +38,7 @@ def test_argument_is_basestring(self):
         self.assertEqual(cube_b.dim_coords,
                          (cube_a.coord('latitude'), cube_a.coord('longitude')))
 
+    @tests.skip_data
     def test_argument_is_coord_instance(self):
         cube_a = stock.realistic_4d()
         cube_b = cube_a.copy()
diff --git a/lib/iris/tests/unit/util/test_promote_aux_coord_to_dim_coord.py b/lib/iris/tests/unit/util/test_promote_aux_coord_to_dim_coord.py
index 7b72bbf6a9..d66dc792c5 100644
--- a/lib/iris/tests/unit/util/test_promote_aux_coord_to_dim_coord.py
+++ b/lib/iris/tests/unit/util/test_promote_aux_coord_to_dim_coord.py
@@ -1,4 +1,4 @@
-# (C) British Crown Copyright 2010 - 2015, Met Office
+# (C) British Crown Copyright 2010 - 2016, Met Office
 #
 # This file is part of Iris.
 #
@@ -44,6 +44,7 @@ def test_old_dim_coord_is_now_aux_coord(self):
         promote_aux_coord_to_dim_coord(cube_b, 'model_level_number')
         self.assertTrue(cube_a.coord('level_height') in cube_b.aux_coords)
 
+    @tests.skip_data
     def test_argument_is_coord_instance(self):
         cube_a = stock.realistic_4d()
         cube_b = cube_a.copy()
@@ -53,6 +54,7 @@ def test_argument_is_coord_instance(self):
                           cube_a.coord('grid_latitude'),
                           cube_a.coord('grid_longitude')))
 
+    @tests.skip_data
     def test_dimension_is_anonymous(self):
         cube_a = stock.realistic_4d()
         cube_b = cube_a.copy()
diff --git a/minimal-conda-requirements.txt b/minimal-conda-requirements.txt
index 7f89000ce6..cf24427885 100644
--- a/minimal-conda-requirements.txt
+++ b/minimal-conda-requirements.txt
@@ -20,6 +20,7 @@ nose
 pep8
 sphinx
 filelock
+imagehash
 
 # Optional iris dependencies
 mo_pack