TYPE,NAME,INFOHASH,SIZEBYTES,MIRRORS,DOWNLOADERS,TIMESCOMPLETED,DATEADDED,DATEMODIFIED
Dataset,"New York City Taxi Fare Data 2013",107a7d997f331ef4820cf5f7f654516e1704dccf,8303600887,2,0,191,1410934539,1599249148
Dataset,"SUFR ver1.3 2014 synthetic image datasets",032b2df1f6f0d75817b0f3af2af9bcdb3a415c37,5042925615,7,0,148,1412646575,1599249629
Dataset,"Netflix Prize Data Set",9b13183dc4d60676b773c9e2cd6de5e5542cee9a,697552028,29,1,20366,1422231367,1599249488
Dataset,"Mars Image - sol710 MastCamRight Composite (Terms of use example)",83a4dd7e764dfd34bca103be8b6094a9bd346d30,7875599,0,2,39,1443408853,1553953366
Paper,"Scikit-learn: Machine Learning in Python",5ba4939a00a9b21629a0ad7d376898b768d997a3,42310,8,0,3667,1398650187,1599249260
Paper,"Crash Course: Lessons Learned from Accidents Involving Remotely Piloted and Autonomous Aircraft",78f5a524db5e41146963f0da6594d44cb8e99a00,2838778,5,0,204,1407033373,1599249109
Paper,"Dressing for Altitude, U.S. Aviation Pressure Suits-Wiley Post to Space Shuttle",8b0a7f2e032d2f2ce186bb3a9c4e958c1bbbb9cf,18709888,2,0,133,1407033492,1599249216
Paper,"The Apollo of Aeronautics: NASA's Aircraft Energy Efficiency Program",eb87997b2e7c4eacc15a8e36823a6c63eaec749e,4848915,5,0,132,1407033631,1599249586
Paper,"X-15: Extending the Frontiers of Flight",5c2f45f0ca9c2a8140828e59901f8a02466d07ec,29475571,2,0,505,1407033678,1599249163
Paper,"NASA's Contributions to Aeronautics, Volume 2",2bc814f15c61385a3aad423f54ec2c130a2f0b95,12445490,8,0,289,1407033711,1599249166
Paper,"Recovering from Selection Bias in Causal and Statistical Inference",94e2258d146e3fe336b2cd25c8b3d1f67f5b829c,1472232,1,0,88,1421648795,1593721908
Paper,"StuCosRec 2014",3e727529cafc8d6f867474a9a8b4cc0761b92ed7,4391405,0,0,63,1426666247,1598984088