diff --git a/notebooks/basics/1_brevitas_network_import.ipynb b/notebooks/basics/1_brevitas_network_import.ipynb
index 3c9cad615e168e19c7f5dfef45e7c7c60965d1e3..ad2b3db8ffcf3ae99e2a3ca13a2c002685e2df92 100644
--- a/notebooks/basics/1_brevitas_network_import.ipynb
+++ b/notebooks/basics/1_brevitas_network_import.ipynb
@@ -356,7 +356,7 @@
     "from pkgutil import get_data\n",
     "import onnx\n",
     "import onnx.numpy_helper as nph\n",
-    "raw_i = get_data(\"finn\", \"data/onnx/mnist-conv/test_data_set_0/input_0.pb\")\n",
+    "raw_i = get_data(\"finn.data\", \"onnx/mnist-conv/test_data_set_0/input_0.pb\")\n",
     "input_tensor = onnx.load_tensor_from_string(raw_i)\n",
     "input_tensor_npy = nph.to_array(input_tensor)\n",
     "input_tensor_pyt = torch.from_numpy(input_tensor_npy).float()\n",
diff --git a/notebooks/end2end_example/bnn-pynq/cnv_end2end_example.ipynb b/notebooks/end2end_example/bnn-pynq/cnv_end2end_example.ipynb
index 795f7f22fef033381aed00375e6bd1bd45affce8..4130f35d7a371711fe1f6bf494358e3c93d8c136 100644
--- a/notebooks/end2end_example/bnn-pynq/cnv_end2end_example.ipynb
+++ b/notebooks/end2end_example/bnn-pynq/cnv_end2end_example.ipynb
@@ -701,16 +701,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.image.AxesImage at 0x7f25af026da0>"
+       "<matplotlib.image.AxesImage at 0x7f89a07e6eb8>"
       ]
      },
-     "execution_count": 40,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -732,7 +732,7 @@
     "import matplotlib.pyplot as plt\n",
     "import numpy as np\n",
     "\n",
-    "fn = pk.resource_filename(\"finn\", \"data/cifar10/cifar10-test-data-class3.npz\")\n",
+    "fn = pk.resource_filename(\"finn.qnn-data\", \"cifar10/cifar10-test-data-class3.npz\")\n",
     "x = np.load(fn)[\"arr_0\"]\n",
     "x = x.reshape(3, 32,32).transpose(1, 2, 0)\n",
     "plt.imshow(x)"
diff --git a/notebooks/end2end_example/bnn-pynq/tfc_end2end_example.ipynb b/notebooks/end2end_example/bnn-pynq/tfc_end2end_example.ipynb
index a067c6f6f8af1ef9e26384e1b2d92458c93b97fb..8cbff4fcea58d452b1e35c0dab647a8f922dc2c0 100644
--- a/notebooks/end2end_example/bnn-pynq/tfc_end2end_example.ipynb
+++ b/notebooks/end2end_example/bnn-pynq/tfc_end2end_example.ipynb
@@ -1468,16 +1468,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 53,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.image.AxesImage at 0x7fe2dd62bf98>"
+       "<matplotlib.image.AxesImage at 0x7fcb96004cc0>"
       ]
      },
-     "execution_count": 53,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -1499,7 +1499,7 @@
     "import onnx.numpy_helper as nph\n",
     "import matplotlib.pyplot as plt\n",
     "\n",
-    "raw_i = get_data(\"finn\", \"data/onnx/mnist-conv/test_data_set_0/input_0.pb\")\n",
+    "raw_i = get_data(\"finn.data\", \"onnx/mnist-conv/test_data_set_0/input_0.pb\")\n",
     "x = nph.to_array(onnx.load_tensor_from_string(raw_i))\n",
     "plt.imshow(x.reshape(28,28), cmap='gray')"
    ]
diff --git a/notebooks/end2end_example/bnn-pynq/tfc_end2end_verification.ipynb b/notebooks/end2end_example/bnn-pynq/tfc_end2end_verification.ipynb
index 54738c3725c0141fddc3497dee024ca90db3f3ce..4a5d3dd07a2f6719b51e75d672790ed44883138f 100644
--- a/notebooks/end2end_example/bnn-pynq/tfc_end2end_verification.ipynb
+++ b/notebooks/end2end_example/bnn-pynq/tfc_end2end_verification.ipynb
@@ -71,7 +71,7 @@
     "from finn.util.test import get_test_model_trained\n",
     "\n",
     "fc = get_test_model_trained(\"TFC\", 1, 1)\n",
-    "raw_i = get_data(\"finn\", \"data/onnx/mnist-conv/test_data_set_0/input_0.pb\")\n",
+    "raw_i = get_data(\"finn.data\", \"onnx/mnist-conv/test_data_set_0/input_0.pb\")\n",
     "input_tensor = onnx.load_tensor_from_string(raw_i)\n",
     "input_brevitas = torch.from_numpy(nph.to_array(input_tensor)).float()\n",
     "output_golden = fc.forward(input_brevitas).detach().numpy()\n",