diff --git a/.DS_Store b/.DS_Store
new file mode 100644
index 0000000..5008ddf
Binary files /dev/null and b/.DS_Store differ
diff --git a/README.md b/README.md
index c990e08..596827d 100644
--- a/README.md
+++ b/README.md
@@ -3,14 +3,14 @@
 <h2>Web Scraping Without Programming</h2>
 <p> In this presentation, Tom Johnson of the <a href="http://www.analyticjournalism.com/">Institute for Analytic Journalism</a> and <a href="http://www.geb.net">I</a> will demonstrate various ways of harvesting data from the Internet without programming. While we heartily recommend that reporters explore the power of programming languages such as Python, Ruby and R, we believe these software tools are a valuable means to getting information that is otherwise unobtainable.</p>
 <ul>You can download</ul>
-<li>The primary handout</li>
-<li>Our powerpoint</li>
-<li>A detailed tutorial on using import.io to scrape Web sites</li>
-<li>An example of how to find and parse hidden XML or JSON data</li>
-<li>A walkthrough of various methods for dealing with PDFs</li>
+<li><a href="https://github.com/gebelo/nicar2016/blob/master/no_programing_handout.docx">The primary handout</a></li>
+<li><a href="https://github.com/gebelo/nicar2016/blob/master/no_programming.pptx">Our powerpoint</a></li>
+<li><a href="https://github.com/gebelo/nicar2016/blob/master/importio.docx">A detailed tutorial on using import.io to scrape Web sites</a></li>
+<li><a href="https://github.com/gebelo/nicar2016/blob/master/xml_miracle.docx">An example of how to find and parse hidden XML or JSON data</a></li>
+<li><a href="https://github.com/gebelo/nicar2016/blob/master/pdf_wrangling16.docx">A walkthrough of various methods for dealing with PDFs</a></li>
 </ul>
 <br>
 <h2>An Introduction to Open Refine</h2>
-<p>Open Refine is a vital tool for cleaning dirty data. A typical example is when a dataset contains names of people or companies but with inconsistent spelling that needs to be standardized. At NICAR, Nils Mulvad and I will walk through a tutorial he created. The exercise is here, the practice data here and here.</p>
+<p>Open Refine is a vital tool for cleaning dirty data. A typical example is when a dataset contains names of people or companies but with inconsistent spelling that needs to be standardized. At NICAR, <a href="http://www.kaasogmulvad.dk/en/">Nils Mulvad</a> and <a href="http://www.geb.net">I</a> will walk through a tutorial he created. The exercise is <a href="https://github.com/gebelo/nicar2016/blob/master/refine.pdf">here</a>, the practice data <a href="https://github.com/gebelo/nicar2016/blob/master/prof.csv">here</a> and <a href="https://github.com/gebelo/nicar2016/blob/master/defendants.xlsx">here</a>.</p>
 
 
diff --git a/scraping.pptx b/scraping.pptx
deleted file mode 100644
index 900053e..0000000
Binary files a/scraping.pptx and /dev/null differ