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  Identifying exoplanets with deep learning in K2 (Dattilo+, 2019)
Post annotation
1.J/AJ/157/169/table1New highly ranked threshold crossing events (TCEs) from Campaign 12 (14 rows)
2.J/AJ/157/169/table3K2 planet candidate training/validation/test set (28029 rows)

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Column  Constraint Explain   (UCD)
  (ALL)recno  Record number assigned by the VizieR team. Should Not be used for identification. (meta.record)
   (ALL)EPIC   [245944045/246414947] EPIC identifier (;meta.main)
  (1)TCE   [2/6] TCE number (meta.number)
   (ALL)Per d [0.359275/28.8698] Period (time.period)
  (1)T0 d [2905.72/2930.72] Epoch of TCE (BJD-2454833) (time.epoch)
   (ALL)Dur h [0.8636/6.2716] Duration of TCE (time.duration)
  (1)(Rp/R*)2   [0.0119/0.0828] Square of the planet to stellar radii ratio (Rp/R*)2 (phys.size;arith.ratio)
   (ALL)IP   [0.0005/1.01823] Impact parameter (src.impactParam)
  (1)Kpmag mag [9.78/18.71] Kepler magnitude (phot.mag;em.opt)
  (1)S/N   [9.04/52.32] Signal-to-noise ratio (stat.snr)
  (1)Pred   [0.3197/0.9839] Prediction score (

ALL cols
 (i)indexed column
  (1)Note (char) Note(s) (Note 1)   (meta.note)
  (2)Num   [1] Planet number (meta.number)
  (2)Time d [1977.263977/3338.518579] Time of transit (BJD-2454833) (time.epoch)
  (2)Label (char) Training label (Note 1)   (meta.code)
  (2)Camp   [1/16] Campaign number (meta.number)
  (2)Rp/R*   [0.003345256/101.8716318] Planet to stellar radii ratio (phys.size;arith.ratio)

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