  We make use of recent developments in the analysis of galaxy redshift surveys
to present an easy to use matrix-based analysis framework for the galaxy power
spectrum multipoles, including wide-angle effects and the survey window
function. We employ this framework to derive the deconvolved power spectrum
multipoles of 6dFGS DR3, BOSS DR12 and the eBOSS DR16 quasar sample. As an
alternative to the standard analysis, the deconvolved power spectrum multipoles
can be used to perform a data analysis agnostic of survey specific aspects,
like the window function. We show that in the case of the BOSS dataset, the
Baryon Acoustic Oscillation (BAO) analysis using the deconvolved power spectra
results in the same likelihood as the standard analysis. To facilitate the
analysis based on both the convolved and deconvolved power spectrum
measurements, we provide the window function matrices, wide-angle matrices,
covariance matrices and the power spectrum multipole measurements for the
datasets mentioned above. Together with this paper we publish a
\code{Python}-based toolbox to calculate the different analysis components. The
appendix contains a detailed user guide with examples for how a cosmological
analysis of these datasets could be implemented. We hope that our work makes
the analysis of galaxy survey datasets more accessible to the wider cosmology
community.
