diff --git a/amplitude.png b/amplitude.png
new file mode 100644
index 0000000000000000000000000000000000000000..07c730938fd918e72640411ae5115e4533c18e6e
Binary files /dev/null and b/amplitude.png differ
diff --git a/calibracion.ipynb b/calibracion.ipynb
index b960609a8ab32dfdcf99ccfd18abe6946698f6b7..01bdf984cd0d79010192f602e097a60a8952b86b 100644
--- a/calibracion.ipynb
+++ b/calibracion.ipynb
@@ -13,7 +13,13 @@
    "id": "52bc4c5f-1baf-4e8f-8a1d-0b0e51fa8695",
    "metadata": {},
    "source": [
-    "Notebook para el análisis de datos del proyecto racimo tormenta"
+    "Notebook para el análisis de datos del proyecto racimo tormenta. \n",
+    "A continuación se realiza el análisis de un archivo de datos de una estación *Racimo tormenta*. Resumiendo se realiza lo siguiente:\n",
+    "\n",
+    "1. Se cargan la librerias necesarias.\n",
+    "2. Se descarga el archivo de datos desde el repositorio de datos **Dataverse**.\n",
+    "3. Se analiza el archivo de datos y se genera una nueva versión del mismo.\n",
+    "4. Por último, se publica la nueva versión de los datos en el repositorio **Dataverse**."
    ]
   },
   {
@@ -21,7 +27,7 @@
    "id": "d277a53c-cccc-4996-8944-620130575372",
    "metadata": {},
    "source": [
-    "## Librerias "
+    "## Cargar Librerias "
    ]
   },
   {
@@ -34,10 +40,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 17,
    "id": "5d4d6478-6b92-46a4-a849-7fc4d5a3b119",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'utf-8'"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "import numpy as np\n",
     "import matplotlib.pylab as plt\n",
@@ -53,10 +70,20 @@
     "import time\n",
     "import matplotlib.dates as md\n",
     "\n",
+    "#!pip install --user -e git+https://github.com/IQSS/dataverse-client-python.git#egg=dataverse\n",
+    "\n",
     "%matplotlib inline\n",
     "sys.getdefaultencoding()"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "6e994b24-64db-40ca-8d89-698456ba2f5b",
+   "metadata": {},
+   "source": [
+    "---"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "97659221-fc8b-4e1a-b6d9-2ef11fd5410c",
@@ -65,6 +92,22 @@
     "## Descargar datos "
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "14c40ec4-7904-4690-8619-f9cf1cbdafec",
+   "metadata": {},
+   "source": [
+    "En esta sección descargaremos el archivo de datos desde el repositorio **Dataverse**."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "14901417-d762-42f9-83e5-2bed2e3c3138",
+   "metadata": {},
+   "source": [
+    "<img src=\"imagenes/dataverse-jupyter_datos.jpg\" alt=\"drawing\" width=\"600\"/>"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "50ba171a-6d09-4d7a-90ff-b76ce313b09d",
@@ -75,20 +118,42 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "id": "89723f93-88a1-4bd4-ac98-76a5d4e75c48",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "env: API_TOKEN=42401228-20ba-4de1-a889-6aa8ccd89087\n"
+     ]
+    }
+   ],
    "source": [
-    "%env API_TOKEN=xxxx-xxxxx--xxxxx--xxxx--xxx"
+    "%env API_TOKEN=42401228-20ba-4de1-a889-6aa8ccd89087"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "id": "bf02c4eb-bfed-478e-8315-2ca2bfbe6470",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "env: SERVER_URL=https://dataverse.redclara.net\n",
+      "env: PERSISTENT_ID=doi:10.21348/FK2/EIQEXC\n",
+      "env: VERSION=DRAFT\n",
+      "  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current\n",
+      "                                 Dload  Upload   Total   Spent    Left  Speed\n",
+      "100  403k    0  403k    0     0  1301k      0 --:--:-- --:--:-- --:--:-- 1301k\n",
+      "curl: Saved to filename 'dataverse_files.zip'\n"
+     ]
+    }
+   ],
    "source": [
     "%env SERVER_URL=https://dataverse.redclara.net\n",
     "%env PERSISTENT_ID=doi:10.21348/FK2/EIQEXC\n",
@@ -106,16 +171,36 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "id": "0c7d3e5e-31fe-42b7-be08-e9c9f793a7da",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Archive:  dataverse_files.zip\n",
+      "  inflating: data/Lighting_2021_04_13_00_4-42401228-20ba-4de1-a889-6aa8ccd89087.dat  \n",
+      "  inflating: data/Lighting_2021_04_13_00_4-8c706e76-8dc1-4242-a90d-5445ae496e1b.dat  \n",
+      "  inflating: data/Lighting_2021_04_13_00_4.dat  \n",
+      "  inflating: MANIFEST.TXT            \n"
+     ]
+    }
+   ],
    "source": [
     "!unzip dataverse_files.zip\n",
     "!rm dataverse_files.zip\n",
     "!rm MANIFEST.TXT"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "927a9fb3-a065-45f2-b075-cf650d73d8b5",
+   "metadata": {},
+   "source": [
+    "---"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "960fdf13-2b85-4fca-a1fb-ed0aa016e468",
@@ -129,7 +214,7 @@
    "id": "3b8b509b-c69e-4c8d-98e2-6f9d7cc825c3",
    "metadata": {},
    "source": [
-    "Calibración de las mediciones del detector"
+    "En esta sección realizaremos un análisis del archivo de datos descargado y generaremos una nueva versión del mismo. Graficamos la amplitud y la frecuencia para de manera visual, selecccionar el subconjunto de datos donde se presenta el evento."
    ]
   },
   {
@@ -150,7 +235,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "id": "78a31578-66f3-4363-80b4-856aabede298",
    "metadata": {},
    "outputs": [],
@@ -168,10 +253,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "id": "6733522b-ab2c-4b49-841a-a45bc4dfd377",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "DescribeResult(nobs=119998, minmax=(array([0., 0.]), array([  1.19997, 693.     ])), mean=array([ 0.599985  , 37.40329005]), variance=array([1.19997000e-01, 3.40352885e+02]), skewness=array([9.41028435e-13, 4.51020583e-01]), kurtosis=array([-1.2       , 12.77397598]))"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "from scipy import stats\n",
     "stats.describe(data)"
@@ -195,7 +291,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 7,
    "id": "05f9f0b6-dd57-4e7e-92ca-4718cf85808e",
    "metadata": {},
    "outputs": [],
@@ -294,10 +390,36 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 8,
    "id": "66982705-0db4-43d7-8bd0-22ec2ae7b907",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Terminations above 5σ = 1\n",
+      "\n",
+      "Number of strokes = 1\n",
+      "\n",
+      "Sample Time = 0.00001 s\n",
+      "Frequency = 100000.00 Hz\n",
+      "Maximum frequency = 868.35 Hz\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1152x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "dt = 10e-6 # sampling period\n",
     "Np = 0. # filter signals per number of peaks above 5 sigma\n",
@@ -323,7 +445,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 9,
    "id": "aaea4b8a-0639-479e-8f66-ad59fb179ac8",
    "metadata": {},
    "outputs": [],
@@ -343,7 +465,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 10,
    "id": "0d8a87c1-5ab1-4e9f-b2d8-8d10572ebad8",
    "metadata": {},
    "outputs": [],
@@ -361,10 +483,36 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 11,
    "id": "53d02f88-4245-4b93-a2c4-7da1cb9c4448",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Terminations above 5σ = 1\n",
+      "\n",
+      "Number of strokes = 1\n",
+      "\n",
+      "Sample Time = 0.00001 s\n",
+      "Frequency = 100000.00 Hz\n",
+      "Maximum frequency = 868.35 Hz\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1152x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "dt = 10e-6 # sampling period\n",
     "Np = 0. # filter signals per number of peaks above 5 sigma\n",
@@ -372,12 +520,36 @@
     "fp1, peaks1, MTFt, MTSt, pN1, MTFc, MTSc = Lightning_Analysis(newdata, dt, Np) # Returns maximum peak frequency and peak positions"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "feaaa407-77ca-450f-9fd1-c34947e4efeb",
+   "metadata": {},
+   "source": [
+    "---"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "6cd50a1f-6003-4002-a1aa-f98af31ffcab",
    "metadata": {},
    "source": [
-    "### Publicar nuevos datos en dataverse"
+    "## Publicar nuevos datos en dataverse"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "04059f03-0c0d-4466-827e-0dd1f801a7b0",
+   "metadata": {},
+   "source": [
+    "Ahora publicaremos la nueva versión de los datos al servicio de repositorio de datos *Dataverse*"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6b4904d1-a278-4971-91ca-fed56dab2a10",
+   "metadata": {},
+   "source": [
+    "<img src=\"imagenes/jupyter-dataverse_datos.jpg\" alt=\"drawing\" width=\"600\"/>"
    ]
   },
   {
@@ -390,7 +562,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 12,
    "id": "c365000c-82c3-4972-aa80-ad7d76801b43",
    "metadata": {},
    "outputs": [],
@@ -415,7 +587,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 13,
    "id": "ae9b7fd8-9850-4d7e-ab2e-0397c266416b",
    "metadata": {},
    "outputs": [],
@@ -425,7 +597,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 14,
    "id": "0a1f7583-ad98-4aba-a67e-518af2319572",
    "metadata": {},
    "outputs": [],
@@ -435,21 +607,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 16,
    "id": "71796740-f56e-4dfa-8d8e-4fac88d4a762",
    "metadata": {},
    "outputs": [],
    "source": [
     "dataset.upload_filepath('data/Lighting_2021_04_13_00_4-'+connection.token+'.dat')"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "e1d125e8-8bf1-464b-b012-cc648cc8691d",
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
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