Twitter Datasets Available

                         
Social           Geolocation %        
Subject Dates Search Terms Tweets RT %   Point Place None   Size    
Hornets Nov 1 – Nov 28 2016 @hornets OR #hornets OR #buzzcity 82,901 63.9%   0.2% 2.3% 97.5%   349 MB    
#NotOkay Oct 6 – Oct 13 2016

#notokay OR @kellyoxford OR

#whywomendontreport

464,750 74.7%   0.1% 1.4% 98.5%   1.6 GB    
#BlackLivesMatter Sep 1 – Oct 15 2016 #blacklivesmatter 1,898,364 76.5%   0.1% 1.2% 98.8%   8.5 GB    
#Syria Jul 1 – Aug 31 2016 #syria 1,707,565 74.6%   0.0% 0.4% 99.5%   8.2 GB    
Aleppo Dec 8 – Dec 23 2016 #syria OR #aleppo 4,069,354 80.6%   0.1% 0.7% 99.3%   17.9 GB    
Charlotte Protest Sept 20 – Sept 26 2016 Seven protest related hashtags 1,358,469 86.3%   0.0%       6.0 GB    
                         
Politics           Geolocation %        
Subject Dates Search Terms Tweets RT %   Point Place None   Size    
GOP Debate Oct 5 2015 – Nov 7 2015 GOPDebate 1,019,092 63.3%   0.1% 2.0% 97.9%   3.5 GB    
I77 Toll-Lane/Widen* Jan 1 2015 – June 15 2016 multiple I-77 / toll lane terms 13,136 37.5%   0.7% 0.9% 98.4%   1.5 MB    
Major Pres Candidates* June 2015 – May 2016

Trump OR Clinton OR Kasich OR

Cruz OR Sanders

31,998 29.0%   1.8% 1.0% 97.3%   108 MB    
#NCPOL Dec 8 – Dec 23 2016 #ncpol OR #ncga OR #hb2 244,517 76.4%   0.0% 1.6% 98.4%   920 MB    
Trump Retweets Nov 1 – Dec 14 2016 All Retweets of Donald Trump 5,193,255 100.0%   0.0% 0.0% 100.0%   18.5 GB    
Brexit June 16 – June 29 2016 20% sample of brexit terms               7.5 GB    
                         
Health           Geolocation %        
Subject Dates Search Terms Tweets RT %   Point Place None   Size    
Pollen/Allergies Jan 1 – Oct 15 2016 Pollen terms and country_code:US 921,466 0%   23.3% 76.7% N/A   2.2 GB    
CLT Whitewater Incident Jun 1 – Jul 15 2016 USNWC OR whitewatercenter OR amoeba 177,630 30.4%   0.3% 1.1% 98.6%   466 MB    
                         
Business           Geolocation %        
Subject Dates Search Terms Tweets RT %   Point Place None   Size    
FinTech Jul 1 – Aug 31 2016 #fintech 634,476 52.2%   0.0% 0.8% 99.2%   2.5 GB    
Volkswagon Jun 1 – Aug 31 2016 #vw OR @vw 125,505 36.1%   2.1% 1.7% 96.2%   462 MB    
Forbes 100 Companies* Jan 1 2014 – June 16 2016 Handles for ~100 Companies 2,694,237 0%                
                         
Cities           Geolocation %        
Subject Dates Search Terms Tweets RT %   Point Place None   Size    
Charlotte Jun 1 2015 – Oct 15 2016 Charlotte Bounding Box 1,345,975 0%   46.6% 53.4% N/A   3.2 GB    
Atlanta Jun 1 2015 – May 31 2016 Atlanta Bounding Box 3,260,937 0%   42.5% 57.5% N/A   7.5 GB    
Austin Jun 1 2015 – May 31 2016 Austin Bounding Box 1,392,111 0%   45.9% 54.1% N/A   3.3 GB    
Chicago Jun 1 2015 – May 31 2016 Chicago Bounding Box 3,950,627 0%   41.2% 58.8% N/A   9.1 GB    
Boston Jun 1 2015 – May 31 2016 Boston Bounding Box 2,855,132 0%   32.3% 67.7% N/A   6.6 GB    
Denver Jun 1 2015 – May 31 2016 Denver Bounding Box 1,149,510 0%   45.7% 54.3% N/A   2.8 GB    
Seattle Jun 1 2015 – May 31 2016 Seattle Bounding Box 1,670,917 0%   42.5% 57.5% N/A   4 GB    
San Francisco Jun 1 2015 – May 31 2016 San Francisco Bounding Box 3,644,949 0%   43.3% 56.7% N/A   8.7 GB    
New York City Jun 1 2015 – May 31 2016 New York City Bounding Box 14,506,526 0%   40.1% 59.9% N/A   33.1 GB    
Raleigh-Durham Jun 1 2015 – May 31 2016 Raleigh-Durham Bounding Box 662,548 0%   55.4% 44.6% N/A   1.6 GB    
                         

*Datasets pulled using a trial of

Gnip’s Historical Search API tool

(different than the Historical PowerTrack API)

                       
                         
            Geolocation %        
Subject Dates Search Terms Tweets RT %   Point Place None   Size    
Spritzer Example 1 ‘Feb 22 2016   3,769,654     0.2% 1.4% 98.4%        
                         

For Spritzer,

see /twitter/spritzer/ directory