diff --git a/demo.ipynb b/demo.ipynb
index dfd0330..e716235 100644
--- a/demo.ipynb
+++ b/demo.ipynb
@@ -140,7 +140,7 @@
     {
      "data": {
       "text/plain": [
-       "<spatz.simulation.Simulation at 0x16655b5fb30>"
+       "<spatz.simulation.Simulation at 0x207b1f987d0>"
       ]
      },
      "execution_count": 5,
@@ -170,7 +170,14 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "100%|█████████▉| 344.9000000000099/345.0 [00:48<00:00,  7.06it/s] \n"
+      "  1%|          | 3.3000000000000016/345.0 [00:00<00:31, 10.80it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|█████████▉| 344.9000000000099/345.0 [00:47<00:00,  7.33it/s] \n"
      ]
     }
    ],
@@ -247,22 +254,22 @@
        "      <td>0.0</td>\n",
        "      <td>0.007016</td>\n",
        "      <td>339.067143</td>\n",
-       "      <td>-0.615303</td>\n",
-       "      <td>974.883176</td>\n",
+       "      <td>-0.018387</td>\n",
+       "      <td>975.480091</td>\n",
        "      <td>-0.0</td>\n",
        "      <td>4.044397</td>\n",
        "      <td>23.256113</td>\n",
        "      <td>-32.577163</td>\n",
        "      <td>...</td>\n",
-       "      <td>32.534231</td>\n",
-       "      <td>-4.136674</td>\n",
-       "      <td>-5.779334</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>32.574601</td>\n",
+       "      <td>-4.081343</td>\n",
+       "      <td>-5.725432</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>67.885478</td>\n",
+       "      <td>21.079909</td>\n",
+       "      <td>18284.099507</td>\n",
        "      <td>319.117737</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -271,22 +278,22 @@
        "      <td>0.0</td>\n",
        "      <td>0.013913</td>\n",
        "      <td>339.065795</td>\n",
-       "      <td>-1.474517</td>\n",
-       "      <td>973.983196</td>\n",
+       "      <td>0.512119</td>\n",
+       "      <td>975.969833</td>\n",
        "      <td>-0.0</td>\n",
        "      <td>3.97431</td>\n",
        "      <td>22.853091</td>\n",
        "      <td>-32.180101</td>\n",
        "      <td>...</td>\n",
-       "      <td>32.19775</td>\n",
-       "      <td>-3.96521</td>\n",
-       "      <td>-5.606724</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>32.2092</td>\n",
+       "      <td>-3.986376</td>\n",
+       "      <td>-5.665523</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>67.885479</td>\n",
+       "      <td>21.079909</td>\n",
+       "      <td>18304.151142</td>\n",
        "      <td>319.467704</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -295,22 +302,22 @@
        "      <td>0.0</td>\n",
        "      <td>0.020692</td>\n",
        "      <td>339.063569</td>\n",
-       "      <td>-0.012905</td>\n",
-       "      <td>975.37748</td>\n",
+       "      <td>-2.260561</td>\n",
+       "      <td>973.129825</td>\n",
        "      <td>-0.0</td>\n",
        "      <td>3.903998</td>\n",
        "      <td>22.448775</td>\n",
        "      <td>-31.781763</td>\n",
        "      <td>...</td>\n",
-       "      <td>31.867976</td>\n",
-       "      <td>-3.967489</td>\n",
-       "      <td>-5.475976</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>31.811645</td>\n",
+       "      <td>-3.93001</td>\n",
+       "      <td>-5.484266</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>67.88548</td>\n",
+       "      <td>21.079909</td>\n",
+       "      <td>18337.270949</td>\n",
        "      <td>320.045754</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -319,22 +326,22 @@
        "      <td>0.0</td>\n",
        "      <td>0.027351</td>\n",
        "      <td>339.060477</td>\n",
-       "      <td>-0.409821</td>\n",
-       "      <td>974.887067</td>\n",
+       "      <td>0.722061</td>\n",
+       "      <td>976.018948</td>\n",
        "      <td>0.0</td>\n",
        "      <td>3.83641</td>\n",
        "      <td>22.060123</td>\n",
        "      <td>-31.398858</td>\n",
        "      <td>...</td>\n",
-       "      <td>31.486513</td>\n",
-       "      <td>-3.825637</td>\n",
-       "      <td>-5.541731</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>31.417342</td>\n",
+       "      <td>-3.875468</td>\n",
+       "      <td>-5.482977</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>67.885481</td>\n",
+       "      <td>21.079909</td>\n",
+       "      <td>18383.266845</td>\n",
        "      <td>320.848534</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -343,22 +350,22 @@
        "      <td>0.0</td>\n",
        "      <td>0.033927</td>\n",
        "      <td>339.056534</td>\n",
-       "      <td>0.123006</td>\n",
-       "      <td>975.300676</td>\n",
+       "      <td>0.400507</td>\n",
+       "      <td>975.578178</td>\n",
        "      <td>-0.0</td>\n",
        "      <td>3.808092</td>\n",
        "      <td>21.89728</td>\n",
        "      <td>-31.238423</td>\n",
        "      <td>...</td>\n",
-       "      <td>31.298818</td>\n",
-       "      <td>-3.787043</td>\n",
-       "      <td>-5.413442</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>31.165447</td>\n",
+       "      <td>-3.815917</td>\n",
+       "      <td>-5.545503</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>67.885482</td>\n",
+       "      <td>21.079909</td>\n",
+       "      <td>18441.920488</td>\n",
        "      <td>321.872233</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -391,22 +398,22 @@
        "      <td>0.0</td>\n",
        "      <td>0.015286</td>\n",
        "      <td>339.111824</td>\n",
-       "      <td>-1.64821</td>\n",
-       "      <td>975.202367</td>\n",
+       "      <td>-0.531794</td>\n",
+       "      <td>976.318784</td>\n",
        "      <td>-0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.001295</td>\n",
        "      <td>-0.012063</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.008629</td>\n",
-       "      <td>0.047334</td>\n",
-       "      <td>-9.72838</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>0.048509</td>\n",
+       "      <td>0.059759</td>\n",
+       "      <td>-9.807724</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>67.950884</td>\n",
+       "      <td>21.08013</td>\n",
+       "      <td>17619.406241</td>\n",
        "      <td>307.516651</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -415,22 +422,22 @@
        "      <td>0.0</td>\n",
        "      <td>0.015286</td>\n",
        "      <td>339.11382</td>\n",
-       "      <td>-0.234923</td>\n",
-       "      <td>976.676106</td>\n",
+       "      <td>1.496568</td>\n",
+       "      <td>978.407596</td>\n",
        "      <td>-0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.001295</td>\n",
        "      <td>-0.012063</td>\n",
        "      <td>...</td>\n",
-       "      <td>-0.090048</td>\n",
-       "      <td>0.032271</td>\n",
-       "      <td>-9.894719</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>0.0775</td>\n",
+       "      <td>0.014265</td>\n",
+       "      <td>-9.828498</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>67.950884</td>\n",
+       "      <td>21.08013</td>\n",
+       "      <td>17589.706895</td>\n",
        "      <td>306.9983</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -439,22 +446,22 @@
        "      <td>0.0</td>\n",
        "      <td>0.015285</td>\n",
        "      <td>339.115816</td>\n",
-       "      <td>-0.380105</td>\n",
-       "      <td>976.591375</td>\n",
+       "      <td>-0.387131</td>\n",
+       "      <td>976.584349</td>\n",
        "      <td>-0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.001295</td>\n",
        "      <td>-0.012063</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.065239</td>\n",
-       "      <td>-0.04206</td>\n",
-       "      <td>-9.74432</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>-0.055745</td>\n",
+       "      <td>-0.00512</td>\n",
+       "      <td>-9.8085</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>67.950884</td>\n",
+       "      <td>21.08013</td>\n",
+       "      <td>17560.007549</td>\n",
        "      <td>306.479948</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -463,22 +470,22 @@
        "      <td>0.0</td>\n",
        "      <td>0.015285</td>\n",
        "      <td>339.117812</td>\n",
-       "      <td>-0.659671</td>\n",
-       "      <td>976.37226</td>\n",
+       "      <td>0.392596</td>\n",
+       "      <td>977.424527</td>\n",
        "      <td>-0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.001295</td>\n",
        "      <td>-0.012063</td>\n",
        "      <td>...</td>\n",
-       "      <td>-0.032256</td>\n",
-       "      <td>0.028021</td>\n",
-       "      <td>-9.75175</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>-0.002507</td>\n",
+       "      <td>-0.021518</td>\n",
+       "      <td>-9.813728</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>67.950884</td>\n",
+       "      <td>21.08013</td>\n",
+       "      <td>17530.308203</td>\n",
        "      <td>305.961597</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -487,22 +494,22 @@
        "      <td>0.0</td>\n",
        "      <td>0.015284</td>\n",
        "      <td>339.119808</td>\n",
-       "      <td>-0.119963</td>\n",
-       "      <td>976.972419</td>\n",
+       "      <td>-0.013876</td>\n",
+       "      <td>977.078506</td>\n",
        "      <td>-0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.001295</td>\n",
        "      <td>-0.012063</td>\n",
        "      <td>...</td>\n",
-       "      <td>-0.039147</td>\n",
-       "      <td>0.040512</td>\n",
-       "      <td>-9.797138</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>-0.047244</td>\n",
+       "      <td>0.022966</td>\n",
+       "      <td>-9.780433</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>67.950884</td>\n",
+       "      <td>21.08013</td>\n",
+       "      <td>17500.608856</td>\n",
        "      <td>305.443246</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -525,17 +532,17 @@
        "3448  344.9                      0.0     0.015284        339.119808   \n",
        "\n",
        "     MS5611_01BA03/noise MS5611_01BA03/out WSEN_ISDS_ACC/FL_x  \\\n",
-       "0              -0.615303        974.883176               -0.0   \n",
-       "1              -1.474517        973.983196               -0.0   \n",
-       "2              -0.012905         975.37748               -0.0   \n",
-       "3              -0.409821        974.887067                0.0   \n",
-       "4               0.123006        975.300676               -0.0   \n",
+       "0              -0.018387        975.480091               -0.0   \n",
+       "1               0.512119        975.969833               -0.0   \n",
+       "2              -2.260561        973.129825               -0.0   \n",
+       "3               0.722061        976.018948                0.0   \n",
+       "4               0.400507        975.578178               -0.0   \n",
        "...                  ...               ...                ...   \n",
-       "3444            -1.64821        975.202367               -0.0   \n",
-       "3445           -0.234923        976.676106               -0.0   \n",
-       "3446           -0.380105        976.591375               -0.0   \n",
-       "3447           -0.659671         976.37226               -0.0   \n",
-       "3448           -0.119963        976.972419               -0.0   \n",
+       "3444           -0.531794        976.318784               -0.0   \n",
+       "3445            1.496568        978.407596               -0.0   \n",
+       "3446           -0.387131        976.584349               -0.0   \n",
+       "3447            0.392596        977.424527               -0.0   \n",
+       "3448           -0.013876        977.078506               -0.0   \n",
        "\n",
        "     WSEN_ISDS_ACC/FL_y WSEN_ISDS_ACC/FL_z WSEN_ISDS_ACC/B_x  ...  \\\n",
        "0              4.044397          23.256113        -32.577163  ...   \n",
@@ -551,17 +558,17 @@
        "3448                0.0           0.001295         -0.012063  ...   \n",
        "\n",
        "     WSEN_ISDS_ACC/out_0 WSEN_ISDS_ACC/out_1 WSEN_ISDS_ACC/out_2  \\\n",
-       "0              32.534231           -4.136674           -5.779334   \n",
-       "1               32.19775            -3.96521           -5.606724   \n",
-       "2              31.867976           -3.967489           -5.475976   \n",
-       "3              31.486513           -3.825637           -5.541731   \n",
-       "4              31.298818           -3.787043           -5.413442   \n",
+       "0              32.574601           -4.081343           -5.725432   \n",
+       "1                32.2092           -3.986376           -5.665523   \n",
+       "2              31.811645            -3.93001           -5.484266   \n",
+       "3              31.417342           -3.875468           -5.482977   \n",
+       "4              31.165447           -3.815917           -5.545503   \n",
        "...                  ...                 ...                 ...   \n",
-       "3444            0.008629            0.047334            -9.72838   \n",
-       "3445           -0.090048            0.032271           -9.894719   \n",
-       "3446            0.065239            -0.04206            -9.74432   \n",
-       "3447           -0.032256            0.028021            -9.75175   \n",
-       "3448           -0.039147            0.040512           -9.797138   \n",
+       "3444            0.048509            0.059759           -9.807724   \n",
+       "3445              0.0775            0.014265           -9.828498   \n",
+       "3446           -0.055745            -0.00512             -9.8085   \n",
+       "3447           -0.002507           -0.021518           -9.813728   \n",
+       "3448           -0.047244            0.022966           -9.780433   \n",
        "\n",
        "     WSEN_ISDS_GYRO/out_0 WSEN_ISDS_GYRO/out_1 WSEN_ISDS_GYRO/out_2  \\\n",
        "0                     0.0                  0.0                  0.0   \n",
@@ -577,17 +584,17 @@
        "3448                  0.0                  0.0                  0.0   \n",
        "\n",
        "     Erinome-I/out_0 Erinome-I/out_1 Erinome-I/out_2 general/altitude  \n",
-       "0                0.0             0.0             0.0       319.117737  \n",
-       "1                0.0             0.0             0.0       319.467704  \n",
-       "2                0.0             0.0             0.0       320.045754  \n",
-       "3                0.0             0.0             0.0       320.848534  \n",
-       "4                0.0             0.0             0.0       321.872233  \n",
+       "0          67.885478       21.079909    18284.099507       319.117737  \n",
+       "1          67.885479       21.079909    18304.151142       319.467704  \n",
+       "2           67.88548       21.079909    18337.270949       320.045754  \n",
+       "3          67.885481       21.079909    18383.266845       320.848534  \n",
+       "4          67.885482       21.079909    18441.920488       321.872233  \n",
        "...              ...             ...             ...              ...  \n",
-       "3444             0.0             0.0             0.0       307.516651  \n",
-       "3445             0.0             0.0             0.0         306.9983  \n",
-       "3446             0.0             0.0             0.0       306.479948  \n",
-       "3447             0.0             0.0             0.0       305.961597  \n",
-       "3448             0.0             0.0             0.0       305.443246  \n",
+       "3444       67.950884        21.08013    17619.406241       307.516651  \n",
+       "3445       67.950884        21.08013    17589.706895         306.9983  \n",
+       "3446       67.950884        21.08013    17560.007549       306.479948  \n",
+       "3447       67.950884        21.08013    17530.308203       305.961597  \n",
+       "3448       67.950884        21.08013    17500.608856       305.443246  \n",
        "\n",
        "[3449 rows x 25 columns]"
       ]
@@ -612,7 +619,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -621,7 +628,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -643,7 +650,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -664,12 +671,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -685,12 +692,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
diff --git a/spatz/dataset.py b/spatz/dataset.py
index f0c7da2..5a760b2 100644
--- a/spatz/dataset.py
+++ b/spatz/dataset.py
@@ -302,7 +302,7 @@ class Dataset(Advanceable):
         """
         return self.get_mach_number(t) > 1
 
-    def get_velocity(self, t: float | None = None) -> float:
+    def get_total_velocity(self, t: float | None = None) -> float:
         """
         Args:
             t (float): Allows specification of a different time instead of the current time. None for current time.
diff --git a/spatz/sensors/gps/gps.py b/spatz/sensors/gps/gps.py
index af29010..49a86ac 100644
--- a/spatz/sensors/gps/gps.py
+++ b/spatz/sensors/gps/gps.py
@@ -26,16 +26,16 @@ class GPS(Sensor):
         super().__init__(dataset, logger, transforms)
 
     def _get_data(self) -> ArrayLike:
-        vel = norm(self._dataset.get_velocity())
+        vel = self._dataset.get_total_velocity()
 
         # TODO: At which speed do we assume that GPS becomes unreliable?
-        if vel / self._dataset.get_mach_number() > 1:
+        if vel / self._dataset.get_speed_of_sound() > 1:
             return np.array([0, 0, 0])
         
         x = self._dataset.fetch_values(['latitude', 'longitude', 'altitude'])
         x = self._sensor_specific_effects(x)
 
         # Convert to degrees.
-        x * 180 / math.pi
+        x *= 180 / math.pi
 
         return x
diff --git a/test.csv b/test.csv
new file mode 100644
index 0000000..a45db15
--- /dev/null
+++ b/test.csv
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