In this data release, we provide all the simulations (gwf) frame files and configuration files for the parameter estimation analysis done in the following work: "Accounting for the Known Unkown: A Parametric Framework to Incorporate Systematic Waveform Errors in Gravitational-Wave Parameter Estimation"The analysis utilizes the publicly available gravitational wave (GW) analysis tool PyCBC and a waveform plugin pycbc_wferrors_plugibn. Description of directories and files The naming conventions of the frame files, configuration files, and run scripts are as follows: Top-level directories:GW150914_like: This directory contains analysis files for a GW150914-type signal at a luminosity distance of 500 Mpc. GW150914_like_DL_100Mpc: This directory contains analysis files for a GW150914-type signal at a luminosity distance of 100 Mpc. GW150914_like_precessing: This directory contains analysis files for a GW150914-type signal with randomly chosen precessing signals at 500 Mpc. Each top-level directory contains a folder with frame files named frame_files_v0. The frame files have following tags to identify: Frame Files Tags: H1, L1, or V1: These tags correspond to the detectors LIGO-Hanford, LIGO-Livingston, or Virgo detectors, respectively. standard: This tag corresponds to an injection where the reference waveform model for the injection has not been modified. mod_abs_zm: In these frame files, the modification to the reference waveform model is applied with absolute-phase parametrization using cubic splines with a Gaussian distribution with zero mean, as described in the paper. mod_abs_nzm: The modification to the reference waveform model is applied with absolute-phase parametrization using cubic splines with a Gaussian distribution with a non-zero mean. mod_rel_zm: In these frame files, the modification to the reference waveform model is applied with relative-phase parametrization using cubic splines with a Gaussian distribution with zero mean. mod_rel_nzm: The modification to the reference waveform model is applied with relative-phase parametrization using cubic splines with a Gaussian distribution with a non-zero mean. zero_noise: These frames do not contain noise realization. aLIGOZeroDetHighPower_psd or AdvVirgo_psd: These frames have the noise generated from the corresponding PSD models from the LALSimulation package.