mas cambios varios

Book/Cambio_Climático/CambioClimaticoII.md

@@ -265,7 +265,7 @@ import pandas as pd
 import plotly.graph_objs as go
 
 
-df = pd.read_csv(r'http://www3.epa.gov/climatechange/images/indicator_downloads/sea-level_fig-1.csv',skiprows=6)
+df = pd.read_csv('./datos/sea-level_fig-1.csv',skiprows=6)
 
 inchmm=25.4
 upper_bound = go.Scatter(

Book/Cambio_Climático/CambioClimaticoIII.md

@@ -170,7 +170,7 @@ import plotly.graph_objs as go
 import pandas as pd
 from plotly.subplots import make_subplots
 
-#df = pd.read_csv(r'https://nyc3.digitaloceanspaces.com/owid-public/data/co2/owid-co2-data.csv')
+#df = pd.read_csv('./datos/owid-co2-data.csv')
 df = pd.read_csv('./datos/owid-co2-data.csv')
 
 continents = ['Europe','North America','South America','Asia','Oceania']
@@ -268,7 +268,7 @@ import numpy as np
 import pandas as pd
 from plotly.subplots import make_subplots
 
-df = pd.read_csv(r'https://nyc3.digitaloceanspaces.com/owid-public/data/co2/owid-co2-data.csv')
+df = pd.read_csv('./datos/owid-co2-data.csv')
 world = df[df['country'] == 'World' ]
 
 fig= go.FigureWidget(make_subplots(rows=1, cols=1))

Book/Cambio_Climático/datos/sea-level_fig-1.csv

+"Figure 1. Global Average Absolute Sea Level Change, 1880-2014",,,,
+Source: EPA's Climate Change Indicators in the United States: www.epa.gov/climatechange/indicators,,,,
+"Data source: CSIRO, 2015; NOAA, 2015",,,,
+Web update: June 2015,,,,
+Units: inches,,,,
+,,,,
+Year,CSIRO - Adjusted sea level (inches),CSIRO - Lower error bound (inches),CSIRO - Upper error bound (inches),NOAA - Adjusted sea level (inches)
+1880,0,-0.952755905,0.952755905,
+1881,0.220472441,-0.732283464,1.173228345,
+1882,-0.440944881,-1.346456692,0.464566929,
+1883,-0.232283464,-1.129921259,0.66535433,
+1884,0.590551181,-0.283464567,1.464566928,
+1885,0.531496062,-0.330708661,1.393700786,
+1886,0.437007874,-0.381889763,1.255905511,
+1887,0.216535433,-0.602362204,1.03543307,
+1888,0.299212598,-0.519685039,1.118110235,
+1889,0.362204724,-0.456692913,1.181102361,
+1890,0.440944881,-0.374015748,1.255905511,
+1891,0.374015748,-0.440944881,1.188976377,
+1892,0.499999999,-0.31496063,1.314960629,
+1893,0.685039369,-0.114173228,1.484251967,
+1894,0.303149606,-0.547244094,1.153543306,
+1895,0.767716535,-0.082677165,1.618110235,
+1896,0.468503937,-0.366141732,1.303149605,
+1897,0.673228346,-0.145669291,1.492125983,
+1898,1.043307086,0.267716535,1.818897636,
+1899,1.338582676,0.574803149,2.102362203,
+1900,1.125984251,0.405511811,1.846456691,
+1901,1.110236219,0.417322834,1.803149604,
+1902,1.291338581,0.61023622,1.972440943,
+1903,1.606299211,0.937007873,2.275590549,
+1904,1.2007874,0.53543307,1.86614173,
+1905,0.984251968,0.377952756,1.590551179,
+1906,1.251968503,0.673228346,1.83070866,
+1907,1.196850392,0.61023622,1.783464565,
+1908,1.098425196,0.527559055,1.669291337,
+1909,1.27559055,0.700787401,1.850393699,
+1910,1.271653542,0.696850393,1.846456691,
+1911,1.598425195,1.039370078,2.157480313,
+1912,1.476377951,0.917322834,2.035433069,
+1913,1.547244093,0.992125983,2.102362203,
+1914,1.795275589,1.251968503,2.338582675,
+1915,2.10629921,1.57086614,2.641732281,
+1916,2.031496061,1.519685038,2.543307084,
+1917,1.854330707,1.350393699,2.358267714,
+1918,1.791338581,1.291338581,2.29133858,
+1919,1.854330707,1.354330707,2.354330706,
+1920,1.905511809,1.393700786,2.417322832,
+1921,1.988188974,1.472440943,2.503937005,
+1922,1.952755904,1.433070865,2.472440942,
+1923,1.999999998,1.488188975,2.511811021,
+1924,1.712598423,1.196850392,2.228346454,
+1925,1.791338581,1.255905511,2.326771651,
+1926,2.047244092,1.507874014,2.586614171,
+1927,2.003937006,1.496062991,2.511811021,
+1928,1.850393699,1.366141731,2.334645667,
+1929,1.905511809,1.429133857,2.381889761,
+1930,2.062992124,1.590551179,2.535433068,
+1931,2.047244092,1.566929132,2.527559053,
+1932,2.271653541,1.803149604,2.740157478,
+1933,2.440944879,1.976377951,2.905511808,
+1934,2.228346454,1.759842518,2.696850391,
+1935,2.448818895,1.980314959,2.917322832,
+1936,2.295275588,1.83070866,2.759842517,
+1937,2.519685037,2.055118108,2.984251965,
+1938,2.622047241,2.157480313,3.08661417,
+1939,2.826771651,2.346456691,3.307086611,
+1940,2.618110234,2.18110236,3.055118107,
+1941,3.098425194,2.673228344,3.523622044,
+1942,3.098425194,2.673228344,3.523622044,
+1943,3.098425194,2.673228344,3.523622044,
+1944,2.84645669,2.425196848,3.267716532,
+1945,2.95669291,2.535433068,3.377952752,
+1946,3.251968501,2.834645666,3.669291335,
+1947,3.374015745,2.996062989,3.7519685,
+1948,3.562992122,3.19685039,3.929133854,
+1949,3.51181102,3.181102359,3.842519681,
+1950,3.598425193,3.287401571,3.909448815,
+1951,3.972440941,3.665354327,4.279527555,
+1952,3.870078736,3.56692913,4.173228342,
+1953,4.043307082,3.748031492,4.338582673,
+1954,3.929133854,3.64173228,4.216535429,
+1955,3.964566925,3.685039366,4.244094484,
+1956,3.763779524,3.488188973,4.039370075,
+1957,4.291338578,4.019685035,4.562992121,
+1958,4.346456688,4.086614169,4.606299208,
+1959,4.358267712,4.102362201,4.614173224,
+1960,4.503937003,4.244094484,4.763779523,
+1961,4.748031491,4.488188972,5.007874011,
+1962,4.543307082,4.283464563,4.803149601,
+1963,4.480314956,4.220472437,4.740157475,
+1964,4.169291334,3.905511807,4.433070862,
+1965,4.610236216,4.346456688,4.874015743,
+1966,4.397637791,4.137795271,4.65748031,
+1967,4.452755901,4.196850389,4.708661413,
+1968,4.484251964,4.220472437,4.748031491,
+1969,4.751968499,4.476377948,5.02755905,
+1970,4.67716535,4.401574799,4.9527559,
+1971,4.881889759,4.610236216,5.153543302,
+1972,5.240157475,4.968503932,5.511811018,
+1973,5.003937003,4.736220468,5.271653538,
+1974,5.472440939,5.204724404,5.740157474,
+1975,5.409448813,5.145669286,5.673228341,
+1976,5.370078735,5.1023622,5.63779527,
+1977,5.303149601,5.043307081,5.56299212,
+1978,5.555118105,5.291338577,5.818897632,
+1979,5.362204719,5.098425192,5.625984246,
+1980,5.598425191,5.34251968,5.854330703,
+1981,6.086614167,5.830708655,6.342519679,
+1982,5.858267711,5.610236215,6.106299206,
+1983,6.188976372,5.93307086,6.444881883,
+1984,6.153543301,5.905511805,6.401574797,
+1985,5.74803149,5.499999994,5.996062986,
+1986,5.771653537,5.523622042,6.019685033,
+1987,5.795275585,5.551181097,6.039370073,
+1988,5.980314955,5.732283459,6.22834645,
+1989,6.157480309,5.905511805,6.409448812,
+1990,6.232283458,5.972440939,6.492125978,
+1991,6.334645663,6.074803143,6.594488182,
+1992,6.35826771,6.094488183,6.622047237,
+1993,6.291338576,6.027559049,6.555118104,6.297493046
+1994,6.499999993,6.236220466,6.763779521,6.310933553
+1995,6.618110229,6.354330702,6.881889757,6.452568661
+1996,6.787401568,6.523622041,7.051181095,6.62763131
+1997,7.066929127,6.803149599,7.330708654,6.733920367
+1998,6.665354324,6.393700781,6.937007867,6.865806069
+1999,7.011811016,6.736220466,7.287401567,6.848689771
+2000,7.062992119,6.791338576,7.334645662,6.920582014
+2001,7.287401567,7.019685032,7.555118103,7.087460011
+2002,7.381889756,7.110236213,7.653543299,7.319697525
+2003,7.759842512,7.484251961,8.035433063,7.488352718
+2004,7.740157472,7.464566922,8.015748023,7.507932839
+2005,7.74409448,7.472440937,8.015748023,7.644563144
+2006,7.917322827,7.645669284,8.18897637,7.697420009
+2007,7.996062984,7.712598417,8.279527551,7.70214715
+2008,8.350393692,8.078740149,8.622047235,7.90736541
+2009,8.586614164,8.311023614,8.862204715,8.04635409
+2010,8.901574794,8.618110227,9.185039361,8.122972567
+2011,8.96456692,8.661417314,9.267716526,8.053065004
+2012,9.326771644,8.992125975,9.661417313,8.457057629
+2013,8.980314951,8.622047235,9.338582668,8.546648227
+2014,,,,8.663700393

Book/Ciencia_Ciudadana/CienciaYMetodo.md

@@ -35,18 +35,27 @@ Este camino está lleno de dificultades, pero también de momentos gratificantes
 [El Método Científico](https://class.redclara.net/halley/moncora/Ciencia_Ciudadana/Metodo.html)
 ```
 
-## Contenido Científico
 
-```{figure} ./images/sagann.jpg
+```{figure} ../images/Sagan.jpg
 ---
-scale: 55%
+scale: 45%
 align: right
 ---
-
 ```
+
+## Contenido Científico
+
 Un primer paso para acercarse a la **ciencia** es conocer contenido creado por **divulgadores científicos**, existen muchas personas creando **contenido científico**. Uno de los divulgadores más emblemáticos y queridos por la comunidad científica es [Carl Sagan](https://www.youtube.com/shorts/Wk-1SgvkFCo).
 
-**"En algún lugar, algo increíble está esperando ser descubierto" - Carl Sagan**
+
+</br>
+</br>
+</br>
+</br>
+</br>
+</br>
 
 
+> Contenido realizado por Alexa Serrano y Felipe Ortiz
 
+>

Book/Ciencia_Ciudadana/Metodo.md

@@ -140,7 +140,7 @@ Vamos a reflexionar sobre la situación:
 ```
 En la actividad propuesta, realizaste un procedimiento llamado **Método Científico**, pero ¿de qué trata?
 
-### Fases del Método Científico
+## Fases del Método Científico
 
 <iframe src="https://docs.google.com/presentation/d/e/2PACX-1vTKme-1YMjQqVmL2KKDKGKYx03IQK1pqoonbsqaInBNcJDWEMF2ZKT_c4VDPzYbS6tyT_Iirn_FtC6a/embed?start=false&loop=false&delayms=3000" frameborder="0" width="780" height="450" allowfullscreen="true" mozallowfullscreen="true" webkitallowfullscreen="true"></iframe>
 

Book/Ciencia_Ciudadana/Proyectos.md

 # Proyectos de Ciencia Ciudadana
 
-<div style="text-align: justify"> La Ciencia Ciudadana ha cobrado cada vez más relevancia en los últimos años, permitiendo a ciudadanos comunes participar en la investigación científica y contribuir al conocimiento colectivo. 
+La Ciencia Ciudadana ha cobrado cada vez más relevancia en los últimos años, permitiendo a ciudadanos comunes participar en la investigación científica y contribuir al conocimiento colectivo. 
 Existe una gran cantidad de proyectos de Ciencia Ciudadana alrededor del mundo, estos proyectos están enfocados en una amplia variedad de campos, y son realizados por ciudadanos de distintos países. A continuación, se presentan algunos ejemplos de Proyectos de Ciencia Ciudadana:
- </div>
-
+ 
 ## Ejemplos
 
 ``````{tab-set}