DOI: 10.5068/d1937j
title: Data from: A Search for Technosignatures Around 31 Sun-like Stars with the Green Bank Telescope at 1.15–1.73 GHz

description: This dataset describes candidate signal detections obtained at the Green
 Bank Telescope in 2018 and 2019 and reprocessed with the 2020
 UCLA SETI Group data processing pipeline. We conducted a search for
 technosignatures in April of 2018 and 2019 with the L-band receiver
 (1.15–1.73 GHz) of the 100 m diameter Green Bank Telescope.
  These observations focused on regions surrounding 31 Sun-like
 stars near the plane of the Galaxy.  We present the results of
 our search for narrowband signals in this data set as well as improvements
 to our data processing pipeline.  Specifically, we applied an
 improved candidate signal detection procedure that relies on the
 topographic prominence of the signal power, which nearly doubles the
 signal detection count of some previously analyzed data sets.  We
 also improved the direction-of-origin filters that remove most radio
 frequency interference (RFI) to ensure that they uniquely link signals
 observed in separate scans.  We performed a preliminary signal
 injection and recovery analysis to test the performance of our pipeline.
  We found that our pipeline recovers 93% of the injected
 signals over the usable frequency range of the receiver and
 98% if we exclude regions with dense RFI.  In this
 analysis, 99.73% of the recovered signals were correctly classified as
 technosignature candidates.  Our improved data processing
 pipeline classified over 99.84% of the ~26 million signals detected in our
 data as RFI.  Of the remaining candidates, 4539 were detected
 outside of known RFI frequency regions.  The remaining candidates
 were visually inspected and verified to be of anthropogenic nature.
  Our search compares favorably to other recent searches in terms
 of end-to-end sensitivity, frequency drift rate coverage, and signal
 detection count per unit bandwidth per unit integration time.
description: Please see journal article for methods.  
description: The field descriptions are as follows: 
 ID: a unique integer identifier for the signal
 NAME: the name of the source SCAN: the scan
 index number (1, 2) for the source MJD: the Modified
 Julian Date at the start of the scan FREQ: the
 frequency (Hz) at the start of the scan DFDT: the
 rate of change in frequency (Hz/s) Z: the signal
 power integrated over the scan duration aka Z score (standard deviations
 of the noise) BW: an estimate of the bandwidth (FWHM)
 of the signal (Hz) FSNR: a flag set to Y if signal
 power exceeds detection threshold FDOP: a flag set to
 Y if DFDT is <strong>not</strong> zero
 FBTH: a flag set to Y if signal is detected in both scans of
 this source FOTH: a flag set to Y if signal
 is <strong>not</strong> detected in scans of other
 sources FAND: a flag set to Y if
 FSNR=FDOP=FBTH=FOTH=Y PARTNER: the ID of the signal
 in a subsequent scan of this source, if known
 RFICODE: an identifier for the probable source of RFI
 NOTES: additional notes <pre> The
 field names and types are as follows: +---------+--------------+ | Field |
 Type | +---------+--------------+ | ID | int(11) | | NAME | varchar(50) |
 | SCAN | int(4) | | MJD | double(16,8) | | FREQ | double(20,6) | | DFDT |
 double(14,8) | | Z | double(15,3) | | BW | double(8,1) | | FSNR | char(1)
 | | FDOP | char(1) | | FBTH | char(1) | | FOTH | char(1) | | FAND |
 char(1) | | PARTNER | int(11) | | RFICODE | char(5) | | NOTES | text |
 +---------+--------------+</pre>