small typo fixes on all of the landing pages

Author: Leah Wasser

org/tags2/data-exploration-and-analysis.md

@@ -9,10 +9,13 @@ topics:
   data-exploration-and-analysis:
 ---
 
-<div class='tag-landing-intro notice--success' markdown="1">
+<div class='tag-landing-intro notice--success' markdown='1'>
+
 ## Explore, Analyze and Visualize Environmental Data with R and Python
+
 In Earth data science, often the greatest amount of time is spent figuring out
 how to open, clean up and explore your data. Once the data are cleaned up, you
 can then begin to visualize and analyze them. In the lessons below, learn the
 basic skills needed to open, clean up, plot and analyze scientific data.
+
 </div>

org/topics/data-exploration-and-analysis.md

@@ -1,6 +1,6 @@
 ---
 layout: post-by-category
-title: 'Use Scientific Programming in R and Python for Earth Science'
+title: 'Earth Science and Data Science Lessons'
 permalink: /tags/earth-science/
 comments: false
 author_profile: false
@@ -10,8 +10,13 @@ topics:
 ---
 
 <div class='tag-landing-intro notice--success' markdown="1">
+
+## Use Scientific Programming in R and Python for Earth Science
+
+
 Earth Science is the study of the Earth’s processes and systems. Earth systems
 include both the environment and human impacts on and interactions with the
-environment. In these lessons, which cover `R` and `Python`, you’ll discover how to
+environment. Often the data required to study Earth Systems are large and complex.
+In the lessons below, which cover `R` and `Python`, you’ll discover how to
 collect, process and analyze Earth science data to better understand our planet.
 </div>

org/topics/earth-science.md

@@ -1,10 +1,10 @@
 ---
 layout: post-by-category
-title: 'File Formats'
+title: 'Lessons on Working With Different File Formats in R and Python'
 permalink: /tags/file-formats/
 comments: false
 author_profile: false
 is-main-topic: true
 topics:
-  file-formats: 
+  file-formats:
 ---

org/topics/file-formats.md

@@ -1,6 +1,6 @@
 ---
 layout: post-by-category
-title: 'Find and Access Earth Science Data Online with R and Python - Find and Manage Data'
+title: 'Find and Access Earth Science Data Online with R and Python Lessons'
 permalink: /tags/find-and-manage-data/
 comments: false
 author_profile: false
@@ -10,6 +10,9 @@ topics:
 ---
 
 <div class='tag-landing-intro notice--success' markdown="1">
+
+## Data Management Issues in Science
+
 There is an explosion of free data available online. However, finding and
 managing these data can be tricky. The lessons below will help you find and
 download Remote sensing, social media and other data that can be used to better

org/topics/find-and-manage-data.md

@@ -1,6 +1,6 @@
 ---
 layout: post-by-category
-title: 'Use Remote sensing data in R or Python'
+title: 'Lessons: Use Remote sensing data in R or Python'
 permalink: /tags/remote-sensing/
 comments: false
 author_profile: false

org/topics/remote-sensing.md

@@ -1,6 +1,6 @@
 ---
 layout: post-by-category
-title: 'Use Social Media Data in R and Python to Study Earth Systems - Social Science'
+title: 'Social Media and Social Science Lessons in R and Python Lessons'
 permalink: /tags/social-science/
 comments: false
 author_profile: false
@@ -10,6 +10,9 @@ topics:
 ---
 
 <div class='tag-landing-intro notice--success' markdown="1">
+
+## Social Media Data and Earth Systems Science 
+
 Humans are an important component of Earth Systems. Social media data, like
 twitter, can be integrated with earth science data to help you better understand
 the impacts that humans have on our environment, how humans are impacted by

org/topics/social-science.md

@@ -1,6 +1,6 @@
 ---
 layout: post-by-category
-title: 'Use Time Series Data in R and Python to Understand Change in Earth Systems'
+title: 'Use Time Series Data in R and Python to Understand Change: Lessons'
 permalink: /tags/time-series/
 comments: false
 author_profile: false
@@ -11,10 +11,14 @@ topics:
 
 <div class='tag-landing-intro notice--success' markdown="1">
 
+## About Time Series Data
+
+## About Time Series Data
+
 Time series data are used to understand changes over time in our environment.
 For instance, you can collect temperature data over time to track how
 temperature fluctuates, hourly, daily monthly and even annually. However often
-working with dates and times in tools like `R` and `Python` can be tricky given 
+working with dates and times in tools like `R` and `Python` can be tricky given
 different date and time formats and time zones. Learn how to work with, clean
 up and plot time series data in the R programming language in the lessons below.
 Stay tuned for `Python` lessons!