Data Release for "Revisiting the evidence for precession in GW200129 with machine learning noise mitigation"

Cleaned gravitational-wave data frame for the Livingston interferometer around GW200129 using NLSub, a machine-learning algorithm. For more details, see the publication on ArXiv: https://arxiv.org/abs/2311.09921. The data frame can be loaded in Python using e.g. GWPy TimeSeries class: from gwpy.timeseries import TimeSeries tseries = TimeSeries.read('L-L1_DCS-CALIB_STRAIN_CLEAN_C01_NLSUB_P2300358_v4-1264314077-4078.hdf5')