This is the v2.1 data release associated with the parameter estimation analysis of the binary black-hole signals from Advanced LIGO-Virgo's second observing run, using the PyCBC Inference toolkit : https://iopscience.iop.org/article/10.1088/1538-3873/aaef0b . A companion paper presenting our parameter estimation analysis and the data release is available here : https://arxiv.org/pdf/1811.09232.pdf. The analysis was performed using the PyCBC v1.12.3 code on the gravitational-wave data available at https://www.gw-openscience.org/catalog/GWTC-1-confident/html/ . Descriptions of the gravitational-wave data can be found in the paper https://arxiv.org/abs/1811.12907 . The change in this release is an update to the title of the work, and the author list. The data and configuration files included remain the same as in the v2.0 release. This release includes : posterior and prior samples from parameter estimation analyses of the seven binary black-hole events---GW170104, GW170608, GW170729, GW170809, GW170814, GW170818, and GW170823. PSDs used in each of the analyses configuration files and run scripts for running the analyses and generating the data. tutorials for manipulating the data and reconstructing the figures in the companion paper.