diff --git a/setup.py b/setup.py
index ba0922b273..05e8ca67e1 100644
--- a/setup.py
+++ b/setup.py
@@ -500,7 +500,7 @@ def setup_package():
         name=package_name,
         package_dir={"": NRN_PY_ROOT},
         packages=py_packages,
-        package_data={"neuron": ["*.dat"]},
+        package_data={"neuron": ["*.dat", "tests/*.json"]},
         ext_modules=extensions,
         scripts=[
             os.path.join(NRN_PY_SCRIPTS, f)
diff --git a/share/lib/python/neuron/tests/test_rxd.json b/share/lib/python/neuron/tests/test_rxd.json
new file mode 100644
index 0000000000..10c681c18f
--- /dev/null
+++ b/share/lib/python/neuron/tests/test_rxd.json
@@ -0,0 +1,666 @@
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+        4.33273265966826e-11,
+        1.9674719569026998e-10,
+        8.63399030466642e-10,
+        3.657079221471436e-09,
+        1.4932070567139546e-08,
+        5.869401066025267e-08,
+        2.218029569259483e-07,
+        8.04721279962928e-07,
+        2.79921382956858e-06,
+        9.323183477925758e-06,
+        2.969562407156746e-05,
+        9.035408030381584e-05,
+        0.0002623954841897342,
+        0.0007269141545185264,
+        0.0019207269099111785,
+        0.004841879243431059,
+        0.01164965343224167,
+        0.02674863273052536,
+        0.05846777500048251,
+        0.12067994530088386,
+        0.23084596756508963,
+        0.3962758789592411,
+        0.5900229199038892,
+        0.7586218889021915,
+        0.8722981880509894,
+        0.9370823930113995,
+        0.9705058492437157,
+        0.9867204567968437,
+        0.9942426940783657,
+        0.9975977799681778,
+        0.9990359504416326,
+        0.9996249801006252,
+        0.9998477834074035,
+        0.9999041758657206,
+        0.9998477834074035,
+        0.9996249801006252,
+        0.9990359504416326,
+        0.9975977799681778,
+        0.9942426940783657,
+        0.9867204567968437,
+        0.9705058492437147,
+        0.9370823930113918,
+        0.8722981880509718,
+        0.75862188890219,
+        0.5900229199038813,
+        0.39627587895923605,
+        0.2308459675650862,
+        0.12067994530088234,
+        0.058467775000481934,
+        0.026748632730525093,
+        0.011649653432241593,
+        0.0048418792434310265,
+        0.0019207269099111698,
+        0.0007269141545185239,
+        0.00026239548418973194,
+        9.035408030381517e-05,
+        2.9695624071567297e-05,
+        9.323183477925707e-06,
+        2.799213829568571e-06,
+        8.04721279962927e-07,
+        2.2180295692594684e-07,
+        5.869401066025244e-08,
+        1.4932070567139493e-08,
+        3.6570792214714333e-09,
+        8.633990304666437e-10,
+        1.967471956902688e-10,
+        4.332732659668245e-11,
+        9.231798364410489e-12,
+        1.9053473045994673e-12,
+        3.813250931917625e-13,
+        7.407949505967726e-14,
+        1.3983268950494506e-14,
+        2.5670459658189344e-15,
+        4.587323676899693e-16,
+        7.986451339137798e-17,
+        1.3557115052023379e-17,
+        2.2456041210043886e-18,
+        3.632196361482047e-19,
+        5.740880124662945e-20,
+        8.872570814175644e-21,
+        1.341708879755948e-21,
+        1.9865049531958394e-22,
+        2.8887040073782976e-23,
+        4.66614436873957e-24
+    ]
+}
\ No newline at end of file
diff --git a/share/lib/python/neuron/tests/test_rxd.py b/share/lib/python/neuron/tests/test_rxd.py
index db85696c90..dc6cd2aef8 100644
--- a/share/lib/python/neuron/tests/test_rxd.py
+++ b/share/lib/python/neuron/tests/test_rxd.py
@@ -2,7 +2,9 @@
 import neuron
 import unittest
 import sys
-from multiprocessing import Process
+import os
+import json
+from multiprocessing import Process, Lock
 
 try:
     import multiprocessing as mp
@@ -11,674 +13,12 @@
 except:
     pass
 
-scalar_bistable_data = [
-    4.666144368739553e-24,
-    2.888704007378294e-23,
-    1.986504953195841e-22,
-    1.341708879755938e-21,
-    8.872570814175589e-21,
-    5.740880124662921e-20,
-    3.632196361482038e-19,
-    2.245604121004388e-18,
-    1.355711505202327e-17,
-    7.986451339137754e-17,
-    4.587323676899676e-16,
-    2.567045965818926e-15,
-    1.398326895049450e-14,
-    7.407949505967670e-14,
-    3.813250931917600e-13,
-    1.905347304599457e-12,
-    9.231798364410461e-12,
-    4.332732659668245e-11,
-    1.967471956902693e-10,
-    8.633990304666386e-10,
-    3.657079221471421e-09,
-    1.493207056713948e-08,
-    5.869401066025243e-08,
-    2.218029569259474e-07,
-    8.047212799629250e-07,
-    2.799213829568570e-06,
-    9.323183477925731e-06,
-    2.969562407156739e-05,
-    9.035408030381566e-05,
-    2.623954841897339e-04,
-    7.269141545185255e-04,
-    1.920726909911178e-03,
-    4.841879243431064e-03,
-    1.164965343224173e-02,
-    2.674863273052559e-02,
-    5.846777500048252e-02,
-    1.206799453008834e-01,
-    2.308459675650935e-01,
-    3.962758789592548e-01,
-    5.900229199039158e-01,
-    7.586218889022415e-01,
-    8.722981880510015e-01,
-    9.370823930114011e-01,
-    9.705058492437171e-01,
-    9.867204567968444e-01,
-    9.942426940783661e-01,
-    9.975977799681778e-01,
-    9.990359504416327e-01,
-    9.996249801006252e-01,
-    9.998477834074035e-01,
-    9.999041758657206e-01,
-    9.998477834074035e-01,
-    9.996249801006252e-01,
-    9.990359504416326e-01,
-    9.975977799681777e-01,
-    9.942426940783655e-01,
-    9.867204567968437e-01,
-    9.705058492437160e-01,
-    9.370823930113995e-01,
-    8.722981880509845e-01,
-    7.586218889021992e-01,
-    5.900229199038706e-01,
-    3.962758789592359e-01,
-    2.308459675650852e-01,
-    1.206799453008814e-01,
-    5.846777500048142e-02,
-    2.674863273052497e-02,
-    1.164965343224158e-02,
-    4.841879243431020e-03,
-    1.920726909911166e-03,
-    7.269141545185224e-04,
-    2.623954841897313e-04,
-    9.035408030381501e-05,
-    2.969562407156726e-05,
-    9.323183477925702e-06,
-    2.799213829568569e-06,
-    8.047212799629269e-07,
-    2.218029569259469e-07,
-    5.869401066025247e-08,
-    1.493207056713951e-08,
-    3.657079221471437e-09,
-    8.633990304666446e-10,
-    1.967471956902691e-10,
-    4.332732659668252e-11,
-    9.231798364410503e-12,
-    1.905347304599471e-12,
-    3.813250931917631e-13,
-    7.407949505967741e-14,
-    1.398326895049453e-14,
-    2.567045965818940e-15,
-    4.587323676899705e-16,
-    7.986451339137816e-17,
-    1.355711505202341e-17,
-    2.245604121004394e-18,
-    3.632196361482056e-19,
-    5.740880124662959e-20,
-    8.872570814175665e-21,
-    1.341708879755951e-21,
-    1.986504953195844e-22,
-    2.888704007378305e-23,
-    4.666144368739581e-24,
-]
+# load the reference data from rxd_data.json
+fdir = os.path.dirname(os.path.abspath(__file__))
+test_data = json.load(open(os.path.join(fdir, "test_rxd.json"), "r"))
 
-trivial_ecs_data = {
-    False: [
-        1.000000000000000e00,
-        9.999975013886804e-01,
-        9.999774378669442e-01,
-        9.998977298459814e-01,
-        9.996832492392076e-01,
-        9.992330951223182e-01,
-        9.984342775161091e-01,
-        9.971750000657639e-01,
-        9.953548976762590e-01,
-        9.928916564339932e-01,
-        9.897243754423555e-01,
-        9.858143683101370e-01,
-        9.811441475924241e-01,
-        9.757152507503439e-01,
-        9.695454356120868e-01,
-        9.626656387413414e-01,
-        9.551169704910168e-01,
-        9.469479226921377e-01,
-        9.382118895981384e-01,
-        9.289650476637475e-01,
-        9.192646016344460e-01,
-        9.091673797060952e-01,
-        8.987287459064514e-01,
-        8.880017905518656e-01,
-        8.770367573796769e-01,
-        8.658806669966089e-01,
-        8.545770993099358e-01,
-        8.431661016850746e-01,
-        8.316841940567001e-01,
-        8.201644466893430e-01,
-        8.086366104805101e-01,
-        7.971272834839320e-01,
-        7.856601006415908e-01,
-        7.742559365417961e-01,
-        7.629331133899011e-01,
-        7.517076083292696e-01,
-        7.405932558321451e-01,
-        7.296019421444131e-01,
-        7.187437897643434e-01,
-        7.080273307086645e-01,
-        6.974596679100502e-01,
-        6.870466245332152e-01,
-        6.767928813219394e-01,
-        6.667021023212317e-01,
-        6.567770494779278e-01,
-        6.470196867258985e-01,
-        6.374312742221647e-01,
-        6.280124534282580e-01,
-        6.187633237355973e-01,
-        6.096835113211366e-01,
-        6.007722308951912e-01,
-        5.920283409711493e-01,
-        5.834503932497362e-01,
-        5.750366766708355e-01,
-        5.667852566452943e-01,
-        5.586940099388136e-01,
-        5.507606556408047e-01,
-        5.429827826135633e-01,
-        5.353578737816238e-01,
-        5.278833275879240e-01,
-        5.205564769125375e-01,
-        5.133746057212193e-01,
-        5.063349636848303e-01,
-        4.994347789867492e-01,
-        4.926712695135610e-01,
-        4.860416526044784e-01,
-        4.795431535169798e-01,
-        4.731730127498988e-01,
-        4.669284923505265e-01,
-        4.608068813190689e-01,
-        4.548055002118984e-01,
-        4.489217050343421e-01,
-        4.431528905041363e-01,
-        4.374964927580476e-01,
-        4.319499915664357e-01,
-        4.265109121135835e-01,
-        4.211768263954196e-01,
-        4.159453542806875e-01,
-        4.108141642766345e-01,
-        4.057809740358395e-01,
-        4.008435506368045e-01,
-        3.959997106673694e-01,
-        3.912473201368166e-01,
-        3.865842942396779e-01,
-        3.820085969917059e-01,
-        3.775182407561858e-01,
-        3.731112856767305e-01,
-        3.687858390308746e-01,
-        3.645400545171554e-01,
-        3.603721314869148e-01,
-        3.562803141307546e-01,
-        3.522628906284160e-01,
-        3.483181922698216e-01,
-        3.444445925540838e-01,
-        3.406405062724689e-01,
-        3.369043885805584e-01,
-        3.332347340641985e-01,
-        3.296300758032397e-01,
-        3.260889844365475e-01,
-        3.226100672312980e-01,
-        3.191919671591613e-01,
-    ],
-    1e-2: [
-        1.000000000000000e00,
-        1.000000000000000e00,
-        1.000000000000000e00,
-        9.999999999993757e-01,
-        9.999999999948940e-01,
-        9.999999999684935e-01,
-        9.999999997476527e-01,
-        9.999999928933891e-01,
-        9.999999611564773e-01,
-        9.999998797767268e-01,
-        9.999996998881439e-01,
-        9.999993374567406e-01,
-        9.999984853833063e-01,
-        9.999969740580184e-01,
-        9.999944882384333e-01,
-        9.999906315949002e-01,
-        9.999849509581277e-01,
-        9.999769206381147e-01,
-        9.999582122018814e-01,
-        9.999297152881566e-01,
-        9.998885520830283e-01,
-        9.998315279906250e-01,
-        9.996818635176246e-01,
-        9.994522087548142e-01,
-        9.991215537513162e-01,
-        9.986688188930973e-01,
-        9.980737640971513e-01,
-        9.973169807955987e-01,
-        9.963810719470240e-01,
-        9.952501731850908e-01,
-        9.939108695612021e-01,
-        9.923517494756579e-01,
-        9.905637628430480e-01,
-        9.885402079276301e-01,
-        9.862765182499404e-01,
-        9.837701825345700e-01,
-        9.810207339243457e-01,
-        9.780291325292961e-01,
-        9.747989764630028e-01,
-        9.713343413784561e-01,
-        9.676399370118218e-01,
-        9.610664511514549e-01,
-        9.539287981952346e-01,
-        9.462557577837218e-01,
-        9.380908351569157e-01,
-        9.295048630242134e-01,
-        9.272938750650753e-01,
-        9.250579717830375e-01,
-        9.227970935555948e-01,
-        9.164665386395120e-01,
-        9.099911643711576e-01,
-        9.033621457398684e-01,
-        8.966076655702790e-01,
-        8.897506341031615e-01,
-        8.827836396691656e-01,
-        8.757430253325005e-01,
-        8.686235564317917e-01,
-        8.614266253287830e-01,
-        8.541863694365750e-01,
-        8.468993821627302e-01,
-        8.395705411285332e-01,
-        8.322240727554534e-01,
-        8.248512178596673e-01,
-        8.174717412805539e-01,
-        8.101012803444277e-01,
-        8.027295128188973e-01,
-        7.953825709154709e-01,
-        7.880520562892473e-01,
-        7.807347758450052e-01,
-        7.734449586695845e-01,
-        7.661975818078829e-01,
-        7.589799271053987e-01,
-        7.518171027867613e-01,
-        7.446977692754075e-01,
-        7.376160661891280e-01,
-        7.305954685595947e-01,
-        7.236266087629475e-01,
-        7.167068363568081e-01,
-        7.140993659912696e-01,
-        7.115003569118910e-01,
-        7.053989759515575e-01,
-        6.937157033233743e-01,
-        6.892286429728892e-01,
-        6.847738597587193e-01,
-        6.803460439703601e-01,
-        6.736943892201644e-01,
-        6.671180984390447e-01,
-        6.622364244386257e-01,
-        6.573969190766189e-01,
-        6.525933207264888e-01,
-        6.478347504056896e-01,
-        6.431166994633450e-01,
-        6.384369407276960e-01,
-        6.290516157893640e-01,
-        6.198222188748919e-01,
-        6.175428045973979e-01,
-        6.152735585854211e-01,
-        6.111170811451881e-01,
-        6.031212236479893e-01,
-        5.952593539110380e-01,
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-        5.890215438866859e-01,
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-        5.591788148460601e-01,
-        5.569248279174298e-01,
-        5.506074431743505e-01,
-        5.478382336868175e-01,
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-        5.387888979310328e-01,
-        5.362404523147913e-01,
-        5.337094641666161e-01,
-        5.282374991972423e-01,
-        5.259248454152894e-01,
-        5.236262814879684e-01,
-        5.182614254027890e-01,
-        5.158555312376837e-01,
-        5.134660721930772e-01,
-        5.077709278344216e-01,
-        5.053179820104490e-01,
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-        4.974407642335685e-01,
-        4.952012718592664e-01,
-        4.929770110443390e-01,
-        4.880637159524582e-01,
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-        4.838861488391641e-01,
-        4.790294758699501e-01,
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-        4.605962240576634e-01,
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-        4.566341643693850e-01,
-        4.522282618718538e-01,
-        4.503369915407668e-01,
-        4.484573583607938e-01,
-        4.440766399922996e-01,
-        4.421436521416536e-01,
-        4.402239033770282e-01,
-        4.357529446279363e-01,
-        4.338466468392896e-01,
-        4.319526749076715e-01,
-        4.277194009540304e-01,
-        4.259480291942094e-01,
-        4.241883948256027e-01,
-        4.202300998848154e-01,
-        4.185239108263153e-01,
-        4.168280792217872e-01,
-        4.128821814385824e-01,
-        4.111518412231812e-01,
-        4.094332017859506e-01,
-        4.054591322790473e-01,
-        4.037685048369686e-01,
-        4.020884387112946e-01,
-        3.983255882607288e-01,
-        3.967407957791139e-01,
-        3.951663235196693e-01,
-        3.916025661686941e-01,
-        3.900627879901100e-01,
-        3.885321706996029e-01,
-        3.849784483567140e-01,
-        3.834281028668022e-01,
-        3.818880643760414e-01,
-        3.783453864220350e-01,
-        3.768397186025170e-01,
-        3.753431216105738e-01,
-        3.719827243333056e-01,
-        3.705596473485314e-01,
-        3.691456730437073e-01,
-        3.659301712184497e-01,
-        3.645393288417587e-01,
-        3.631565593836533e-01,
-        3.599538911939479e-01,
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-        3.526654577087503e-01,
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-        3.470307463292109e-01,
-        3.457566587669847e-01,
-        3.428492728471916e-01,
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-        3.403406775305906e-01,
-        3.374508890138111e-01,
-        3.361995660265230e-01,
-        3.349562467114465e-01,
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-    ],
-}
 
-
-def scalar_bistable():
+def scalar_bistable(lock, path=None):
     from neuron import rxd
 
     h.load_file("stdrun.hoc")
@@ -694,15 +34,25 @@ def scalar_bistable():
 
     # check the results
     result = h.Vector(c.nodes.concentration)
-    cmpV = h.Vector(scalar_bistable_data)
-    cmpV.sub(result)
-    cmpV.abs()
-    if cmpV.sum() < 1e-6:
-        sys.exit(0)
-    sys.exit(-1)
-
-
-def trivial_ecs(scale):
+    if path is not None:
+        lock.acquire()
+        if os.path.exists(path):
+            data = json.load(open(path, "r"))
+        else:
+            data = {}
+        data["scalar_bistable_data"] = list(result)
+        json.dump(data, open(path, "w"), indent=4)
+        lock.release()
+    else:
+        cmpV = h.Vector(test_data["scalar_bistable_data"])
+        cmpV.sub(result)
+        cmpV.abs()
+        if cmpV.sum() >= 1e-6:
+            sys.exit(-1)
+    sys.exit(0)
+
+
+def trivial_ecs(scale, lock, path=None):
     from neuron import h, crxd as rxd
     import numpy
     import warnings
@@ -714,6 +64,7 @@ def trivial_ecs(scale):
         h.CVode().active(True)
         h.CVode().event(tstop)
     else:  # fixed step case
+        h.CVode().active(False)
         h.dt = 0.1
 
     sec = h.Section()  # NEURON requires at least 1 section
@@ -757,40 +108,63 @@ def trivial_ecs(scale):
     h.finitialize()
     h.continuerun(tstop)  # run the simulation
 
-    # compare with previous solution
-    ecs_vec.sub(h.Vector(trivial_ecs_data[scale]))
-    ecs_vec.abs()
-    if ecs_vec.sum() > 1e-9:
-        return -1
-    return 0
+    if path is not None:
+        lock.acquire()
+        if os.path.exists(path):
+            data = json.load(open(path, "r"))
+        else:
+            data = {}
+        if "trivial_ecs_data" not in data:
+            data["trivial_ecs_data"] = {}
+        data["trivial_ecs_data"][str(scale)] = list(ecs_vec)
+        json.dump(data, open(path, "w"), indent=4)
+        lock.release()
+    else:
+        # compare with previous solution
+        ecs_vec.sub(h.Vector(test_data["trivial_ecs_data"][str(scale)]))
+        ecs_vec.abs()
+        if ecs_vec.sum() > 1e-9:
+            sys.exit(-1)
+    sys.exit(0)
 
 
 class RxDTestCase(unittest.TestCase):
     """Tests of rxd"""
 
+    @classmethod
+    def setUpClass(cls):
+        # Check for --save in command-line arguments
+        cls.path = None
+        cls.lock = Lock()
+        if len(sys.argv) > 1:
+            for arg1, arg2 in zip(sys.argv, sys.argv[1:]):
+                if arg1 == "--save":
+                    cls.path = arg2
+                    break
+
     def test_rxd(self):
-        p = Process(target=scalar_bistable)
+        p = Process(target=scalar_bistable, args=(self.lock, self.path))
         p.start()
         p.join()
         assert p.exitcode == 0
         return 0
 
     def test_ecs_diffusion_fixed_step(self):
-        p = Process(target=trivial_ecs, args=(False,))
+        p = Process(target=trivial_ecs, args=(False, self.lock, self.path))
         p.start()
         p.join()
         assert p.exitcode == 0
         return 0
 
     def test_ecs_diffusion_variable_step_coarse(self):
-        p = Process(target=trivial_ecs, args=(1e-2,))
+        p = Process(target=trivial_ecs, args=(1e-2, self.lock, self.path))
         p.start()
         p.join()
         assert p.exitcode == 0
         return 0
 
     def test_ecs_diffusion_variable_step_fine(self):
-        p = Process(target=trivial_ecs, args=(1e-5,))
+        p = Process(target=trivial_ecs, args=(1e-5, self.lock, self.path))
         p.start()
         p.join()
         assert p.exitcode == 0
@@ -807,5 +181,7 @@ def test():
 
 
 if __name__ == "__main__":
-    # unittest.main()
+    """Run the rxd tests unless --save <path> is given, in which case save the
+    test data to that path without comparing the results to the reference data.
+    """
     test()