anchor.diff:        <%= image_tag 'tutorial/step8.png', class: "img-responsive", alt: 'Step 8: Add a description to your dataset' %>
       </div>
   
  -    Now, provide the name and web address of the person of organisation who is publishing the data. Data users like this, so they know who to contact with any questions.
  +   <p> Now, provide the name and web address of the person of organisation who is publishing the data. Data users like this, so they know who to contact with any questions.</p>
   
       <div>
         <%= image_tag 'tutorial/step9.png', class: "img-responsive", alt: 'Step 9: Add publication details to your dataset' %>
  
positive.code:       <%= image_tag 'tutorial/step11.png', class: "img-responsive", alt: 'Step 11: Determine visibility of your dataset' %>
      </div>
  
      <p>Next, choose how often you think the data will be updated - this lets data reusers know if this data is likely to change</p>
  
      <div class="media">
        <%= image_tag 'tutorial/step12.png', class: "img-responsive", alt: 'Step 12: Add publication frequency details to your dataset' %>
  
negative.code:       <%= image_tag 'tutorial/step13.png', class: "img-responsive", alt: 'Step 13: upload data files' %>
      </div>
  
      <p>
        Once the file has uploaded, you can scroll down and click 'Submit' to create your dataset. You'll then see a notice telling you your data has been queued for creation. Within a few minutes, you should recieve an email, with a link allowing you to see your dataset in all its glory!
  
      <ul>
        <li>test</li>
      </ul>
      </p>
  
  
    </div>
  