diff --git a/GPy/examples/classification.py b/GPy/examples/classification.py
index 93577a14..77d1982c 100644
--- a/GPy/examples/classification.py
+++ b/GPy/examples/classification.py
@@ -118,7 +118,7 @@ def sparse_toy_linear_1d_classification(num_inducing=10,seed=default_seed):
 
     return m
 
-def sparse_crescent_data(num_inducing=10, seed=default_seed, kernel=kernel):
+def sparse_crescent_data(num_inducing=10, seed=default_seed, kernel=None):
     """
     Run a Gaussian process classification with DTC approxiamtion on the crescent data. The demonstration calls the basic GP classification model and uses EP to approximate the likelihood.
 
diff --git a/GPy/util/datasets.py b/GPy/util/datasets.py
index ff5474a6..61ed727f 100644
--- a/GPy/util/datasets.py
+++ b/GPy/util/datasets.py
@@ -85,11 +85,17 @@ The database was created with funding from NSF EIA-0196217.""",
                                             'license': None,
                                             'size' : 584},
                   'osu_run1' : {'urls': ['http://accad.osu.edu/research/mocap/data/', neil_url + 'stick/'],
-                                'files': [['sprintTXT.ZIP'],['connections.txt']],
+                                'files': [['run1TXT.ZIP'],['connections.txt']],
                                 'details' : "Motion capture data of a stick man running from the Open Motion Data Project at Ohio State University.",
                                 'citation' : 'The Open Motion Data Project by The Ohio State University Advanced Computing Center for the Arts and Design, http://accad.osu.edu/research/mocap/mocap_data.htm.',
                                 'license' : 'Data is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License (http://creativecommons.org/licenses/by-nc-sa/3.0/).',
                                 'size': 338103},
+                  'osu_accad' : {'urls': ['http://accad.osu.edu/research/mocap/data/', neil_url + 'stick/'],
+                                'files': [['swagger1TXT.ZIP','handspring1TXT.ZIP','quickwalkTXT.ZIP','run1TXT.ZIP','sprintTXT.ZIP','dogwalkTXT.ZIP','camper_04TXT.ZIP','dance_KB3_TXT.ZIP','per20_TXT.ZIP','perTWO07_TXT.ZIP','perTWO13_TXT.ZIP','perTWO14_TXT.ZIP','perTWO15_TXT.ZIP','perTWO16_TXT.ZIP'],['connections.txt']],
+                                'details' : "Motion capture data of different motions from the Open Motion Data Project at Ohio State University.",
+                                'citation' : 'The Open Motion Data Project by The Ohio State University Advanced Computing Center for the Arts and Design, http://accad.osu.edu/research/mocap/mocap_data.htm.',
+                                'license' : 'Data is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License (http://creativecommons.org/licenses/by-nc-sa/3.0/).',
+                                'size': 15922790},
                   'pumadyn-32nm' : {'urls' : ['ftp://ftp.cs.toronto.edu/pub/neuron/delve/data/tarfiles/pumadyn-family/'],
                                     'files' : [['pumadyn-32nm.tar.gz']],
                                     'details' : """Pumadyn non linear 32 input data set with moderate noise. See http://www.cs.utoronto.ca/~delve/data/pumadyn/desc.html for details.""",