diff --git a/.deepnote/id-resolver.json b/.deepnote/id-resolver.json
new file mode 100644
index 0000000000000000000000000000000000000000..55898b7928e43a1d1a0debb6a3d9021f725ff437
--- /dev/null
+++ b/.deepnote/id-resolver.json
@@ -0,0 +1 @@
+[{"id":"9e66f3ca-8d97-4432-acd6-cb588bd924a7","path":"/init.ipynb"},{"id":"2a833435-1e0f-4acd-b4e2-0fd6060cfaa6","path":"/notebook.ipynb"},{"id":"c6a6e024-6fa3-445b-b56d-1f6b4c120557","path":"/medicion-de-la-vida-media-del-muon/Datos"},{"id":"afb8e91f-0294-47f1-af43-a3ff9d7d12df","path":"/medicion-de-la-vida-media-del-muon/init.ipynb"},{"id":"d5132bf2-3338-4402-9b87-b40739bd1707","path":"/medicion-de-la-vida-media-del-muon/.init.ipynb.swp"},{"id":"60c8be69-d4d1-41d5-8050-60f518c1251a","path":"/medicion-de-la-vida-media-del-muon/output.txt"},{"id":"948ec22a-09a3-40ec-9c22-adfcefeafa8a","path":"/medicion-de-la-vida-media-del-muon/history.txt"},{"id":"31276dfc-f085-4d35-86d8-1e29c1ead544","path":"/medicion-de-la-vida-media-del-muon/QuarknetData/sipm_qn_2020_06_22_09_00.txt"},{"id":"e6e4365e-30c3-4d80-a1eb-86b798e183e6","path":"/medicion-de-la-vida-media-del-muon/requirements.txt"},{"id":"544c972d-c699-43f4-9e44-0fe8ffbe6e34","path":"/requirements.txt"},{"id":"0a38ee9d-aef2-4715-afa2-9f80f04b8429","path":"/vida_media_muon.ipynb"},{"id":"a4512139-5f72-415c-83f2-ddd566b08ece","path":"/temporizador.sh"},{"id":"da0045a6-0cea-40d7-a9f0-cb8b12995b31","path":"/SomeFile.txt"},{"id":"6b9a4932-c322-4325-8c68-a27ba7645dfc","path":"/README.md"},{"id":"dd6a8e2d-4f62-4b34-9acf-93ab72132f37","path":"/QuarknetData.zip"},{"id":"3567bb21-5922-484a-be13-30f76a7490a2","path":"/QuarknetData"},{"id":"64af8762-101e-406b-99e5-c1675886df2e","path":"/img"},{"id":"c6a8e8d4-a753-4980-aefa-b7ada1d01c6c","path":"/Data"},{"id":"85f436bb-cd04-48e7-96e4-1e51314e355f","path":"/.git"}]
\ No newline at end of file
diff --git a/img/HT-CE_Comand.png b/img/HT-CE_Comand.png
new file mode 100644
index 0000000000000000000000000000000000000000..ac7c100e120b653bc1414fa08f4df65bbd0c1c9c
Binary files /dev/null and b/img/HT-CE_Comand.png differ
diff --git a/img/TH-ST_DS_Comands.png b/img/TH-ST_DS_Comands.png
new file mode 100644
index 0000000000000000000000000000000000000000..5ea962fded90b4c70cd476db0375496221dd80b6
Binary files /dev/null and b/img/TH-ST_DS_Comands.png differ
diff --git a/init.ipynb b/init.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..d9b3315e06f10cc4687995b1483c3a703fc1b608
--- /dev/null
+++ b/init.ipynb
@@ -0,0 +1,69 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "source": "## Initialization Notebook\nThis is your initialization notebook.\n\n**What's this for?**\n\nYou can put custom code you want us to run every time we setup your environment in here. \n\n**Awesome! Anything I should not put in here?**\n\nPlease don't install `jupyter` or `jedi` packages, they would break your Deepnote environment. Also, no need to put `!pip install`s here, we already save those automatically!\n\n**I want to learn more!**\n\nGreat! Just [head over to our docs](https://docs.deepnote.com/environment/custom-initialization).",
+   "metadata": {
+    "tags": [],
+    "cell_id": "643505f8-37e8-4a86-b1e0-eaa5d214dd55",
+    "deepnote_cell_type": "markdown",
+    "deepnote_cell_height": 349.125
+   }
+  },
+  {
+   "cell_type": "code",
+   "metadata": {
+    "tags": [],
+    "cell_id": "00001-4de1ad5f-6bf5-48f0-a42f-b2e461cc3972",
+    "deepnote_to_be_reexecuted": false,
+    "source_hash": "60b37886",
+    "execution_start": 1652811382772,
+    "execution_millis": 3989,
+    "deepnote_cell_type": "code",
+    "deepnote_cell_height": 363.3125
+   },
+   "source": "%%bash\n# If your project has a 'requirements.txt' file, we'll install it here apart from blacklisted packages that interfere with Deepnote (see above).\nif test -f requirements.txt\n  then\n    sed -i '/jedi/d;/jupyter/d;' ./requirements.txt\n    pip install -r ./requirements.txt\n  else echo \"There's no requirements.txt, so nothing to install. This is the case with most projects.\"\nfi",
+   "execution_count": 5,
+   "outputs": [
+    {
+     "name": "stdout",
+     "text": "Requirement already satisfied: pandas in /shared-libs/python3.7/py/lib/python3.7/site-packages (from -r ./requirements.txt (line 1)) (1.2.5)\nRequirement already satisfied: numpy>=1.16.5 in /shared-libs/python3.7/py/lib/python3.7/site-packages (from pandas->-r ./requirements.txt (line 1)) (1.21.6)\nRequirement already satisfied: python-dateutil>=2.7.3 in /shared-libs/python3.7/py-core/lib/python3.7/site-packages (from pandas->-r ./requirements.txt (line 1)) (2.8.2)\nRequirement already satisfied: pytz>=2017.3 in /shared-libs/python3.7/py/lib/python3.7/site-packages (from pandas->-r ./requirements.txt (line 1)) (2022.1)\nRequirement already satisfied: six>=1.5 in /shared-libs/python3.7/py-core/lib/python3.7/site-packages (from python-dateutil>=2.7.3->pandas->-r ./requirements.txt (line 1)) (1.16.0)\nWARNING: You are using pip version 20.1.1; however, version 22.1 is available.\nYou should consider upgrading via the '/root/venv/bin/python -m pip install --upgrade pip' command.\n",
+     "output_type": "stream"
+    }
+   ]
+  },
+  {
+   "cell_type": "code",
+   "source": "",
+   "metadata": {
+    "cell_id": "662bd0f8ead24e9cbbe56b83574b2b46",
+    "tags": [],
+    "deepnote_to_be_reexecuted": false,
+    "source_hash": "b623e53d",
+    "execution_start": 1652811199199,
+    "owner_user_id": "56eb99f4-efa9-44a6-ad33-7e017903eb34",
+    "deepnote_cell_type": "code",
+    "deepnote_cell_height": 81
+   },
+   "outputs": [],
+   "execution_count": 1
+  },
+  {
+   "cell_type": "markdown",
+   "source": "<a style='text-decoration:none;line-height:16px;display:flex;color:#5B5B62;padding:10px;justify-content:end;' href='https://deepnote.com?utm_source=created-in-deepnote-cell&projectId=d1ecef00-975c-40b9-b3ac-89c2c8655449' target=\"_blank\">\n<img alt='Created in deepnote.com' style='display:inline;max-height:16px;margin:0px;margin-right:7.5px;' src='data:image/svg+xml;base64,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' > </img>\nCreated in <span style='font-weight:600;margin-left:4px;'>Deepnote</span></a>",
+   "metadata": {
+    "tags": [],
+    "created_in_deepnote_cell": true,
+    "deepnote_cell_type": "markdown"
+   }
+  }
+ ],
+ "nbformat": 4,
+ "nbformat_minor": 2,
+ "metadata": {
+  "orig_nbformat": 2,
+  "deepnote": {},
+  "deepnote_notebook_id": "9e66f3ca-8d97-4432-acd6-cb588bd924a7",
+  "deepnote_execution_queue": []
+ }
+}
\ No newline at end of file
diff --git a/requirements.txt b/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1411a4a0b5ab886adfb744e685d150151ab10023
--- /dev/null
+++ b/requirements.txt
@@ -0,0 +1 @@
+pandas
\ No newline at end of file
diff --git a/vida_media_muon.ipynb b/vida_media_muon.ipynb
index ecbb44223522fb28ef9e09d63f99f4fe388bbf71..43919a2a82f2fc45362f8f29fe448d80ab01ecde 100644
--- a/vida_media_muon.ipynb
+++ b/vida_media_muon.ipynb
@@ -43,8 +43,8 @@
     "deepnote_cell_height": 81
    },
    "source": "#!source temporizador.sh",
-   "execution_count": 1,
-   "outputs": []
+   "outputs": [],
+   "execution_count": null
   },
   {
    "cell_type": "code",
@@ -59,17 +59,17 @@
     "deepnote_cell_height": 189
    },
    "source": "import numpy as np\nimport pandas as pd\nimport matplotlib.pyplot as plt\nfrom scipy import stats\nfrom scipy.stats import expon\nfrom statistics import variance\nfrom statistics import mean",
-   "execution_count": 2,
-   "outputs": []
+   "outputs": [],
+   "execution_count": null
   },
   {
    "cell_type": "markdown",
-   "source": "Glosario:\n1. \"mBar\"\n2. \"GpsDegC\"\n3. \"1ppsDly\"\n4. \"CPU_Vcc\"\n5. \"GpsUTC\"\n6. \"GpsDate\"\n7. \"GpsVld\"\n8. \"GpsSat#\"\n9. \"1ppsTime\"\n10. \"CodeVer\"\n11. \"SerNum\"\n12. \"TMCregs\"\n13. \"Cntlregs\"",
+   "source": "![alt text for screen readers](img/TH-ST_DS_Comands.png \"Text to show on mouseover\")\n![alt text for screen readers](img/HT-CE_Comand.png \"Text to show on mouseover\")",
    "metadata": {
     "cell_id": "186bee6a82654bcfac5bcc0acfaef262",
     "tags": [],
     "deepnote_cell_type": "markdown",
-    "deepnote_cell_height": 407.46875
+    "deepnote_cell_height": 1019
    }
   },
   {
@@ -88,11 +88,11 @@
      "sortBy": []
     },
     "deepnote_table_loading": false,
+    "owner_user_id": "56eb99f4-efa9-44a6-ad33-7e017903eb34",
     "deepnote_cell_type": "code",
     "deepnote_cell_height": 448
    },
    "source": "data = pd.read_table('QuarknetData/sipm_qn_2020_06_21_21_00.txt', delimiter = ' ', dtype=str, header=None, names=[\"Command\",\"mBar\", \"GpsDegC\", \"1ppsDly\", \"CPU_Vcc\", \"GpsUTC\",\"GpsDate\", \"GpsVld\", \"GpsSat#\",\"1ppsTime\", \"CodeVer\", \"SerNum\",\"TMCregs\", \"Cntlregs\"]) #, 'Ch0Cnts', 'Ch1Cnts', 'Ch2Cnts', 'Ch3Cnts', 'TrigCnts'])\ndata.set_index('Command',inplace = True)\ndata.head()",
-   "execution_count": 3,
    "outputs": [
     {
      "output_type": "execute_result",
@@ -457,7 +457,8 @@
      },
      "metadata": {}
     }
-   ]
+   ],
+   "execution_count": null
   },
   {
    "cell_type": "code",
@@ -475,7 +476,6 @@
     ]
    },
    "source": "'''a,b = data.shape\nmatrix = np.zeros((a,b))\nfor i in range(a):\n    if data.iloc[i,0] == 'DS':\n        for j in range(4):\n            matrix[i][j+1] = int(data.iloc[i,j+1],base = 16)\n    elif data.iloc[i,0] == 'ST':\n        for j in range(b-1):\n            matrix[i][j+1] = int(data.iloc[i,j+1],base = 16)\ndf = pd.DataFrame(matrix, index = data.index, columns=data.columns)\ndf.head()'''",
-   "execution_count": 4,
    "outputs": [
     {
      "output_type": "execute_result",
@@ -485,7 +485,8 @@
      },
      "metadata": {}
     }
-   ]
+   ],
+   "execution_count": null
   },
   {
    "cell_type": "code",
@@ -500,7 +501,6 @@
     "deepnote_cell_height": 797
    },
    "source": "a,b = data.shape\nmatrix = np.zeros((a,b))\nfor i in range(a):\n    if data.index[i] == 'DS':\n        for j in range(5):\n            matrix[i][j] = int(data.iloc[i,j],base = 16)\n    else:\n        for j in range(b):\n            matrix[i][j] = int(data.iloc[i,j],base = 16)\ndf = pd.DataFrame(matrix, index = data.index, columns=data.columns)\ndf.head(-1)",
-   "execution_count": 5,
    "outputs": [
     {
      "output_type": "execute_result",
@@ -1489,7 +1489,8 @@
      },
      "metadata": {}
     }
-   ]
+   ],
+   "execution_count": null
   },
   {
    "cell_type": "code",
@@ -1507,7 +1508,6 @@
     ]
    },
    "source": "int('A',base=16)",
-   "execution_count": 6,
    "outputs": [
     {
      "output_type": "execute_result",
@@ -1517,7 +1517,8 @@
      },
      "metadata": {}
     }
-   ]
+   ],
+   "execution_count": null
   },
   {
    "cell_type": "markdown",
@@ -1546,7 +1547,6 @@
     ]
    },
    "source": "from scipy.optimize import curve_fit\n\ndef exp(x,A0, B0, C0):\n    return C0 + A0*np.exp(-x/B0)\n\nx1=np.linspace(0,15,500)\ny1=exp(x1,4,0.3,2)+np.sin(x1)\nparametros, covariance = curve_fit(exp, x1, y1)\n\nprint(parametros)\n\nplt.figure(figsize=(6, 4))\nplt.scatter(x1, y1, label='Data')\nplt.plot(x1, exp(x1,parametros[0],parametros[1],parametros[2]),'r',label='Fitted function')\nplt.legend(loc='best')\nplt.show()",
-   "execution_count": 7,
    "outputs": [
     {
      "name": "stdout",
@@ -1567,7 +1567,8 @@
      },
      "output_type": "display_data"
     }
-   ]
+   ],
+   "execution_count": null
   },
   {
    "cell_type": "code",
@@ -1606,8 +1607,8 @@
     "deepnote_cell_height": 135
    },
    "source": "import numpy as np\nimport scipy.stats as ss\nimport matplotlib.pyplot as plt\n%matplotlib inline",
-   "execution_count": 8,
-   "outputs": []
+   "outputs": [],
+   "execution_count": null
   },
   {
    "cell_type": "code",
@@ -1623,7 +1624,7 @@
     "deepnote_cell_height": 99
    },
    "outputs": [],
-   "execution_count": 9
+   "execution_count": null
   },
   {
    "cell_type": "code",
@@ -1645,7 +1646,7 @@
      "output_type": "stream"
     }
    ],
-   "execution_count": 10
+   "execution_count": null
   },
   {
    "cell_type": "code",
@@ -1657,12 +1658,11 @@
     "source_hash": "4a553ed7",
     "execution_start": 1652799859159,
     "execution_millis": 381,
-    "owner_user_id": "56eb99f4-efa9-44a6-ad33-7e017903eb34",
     "deepnote_cell_type": "code",
     "deepnote_cell_height": 135
    },
    "outputs": [],
-   "execution_count": 11
+   "execution_count": null
   },
   {
    "cell_type": "code",
@@ -1697,7 +1697,7 @@
      "output_type": "display_data"
     }
    ],
-   "execution_count": 12
+   "execution_count": null
   },
   {
    "cell_type": "markdown",