Posterior samples from Gaussian Process warp model fits for the exoALMA disc sample

This dataset contains Gaussian Process (GP) posterior samples of disk warp parameters inferred from residual velocity fields in the exoALMA protoplanetary disc survey. For each disc, we decompose the line-of-sight velocity residuals into azimuthal harmonics and model the inferred inclination and position angle variations as functions of radius. The GP posterior samples include radial profiles of inclination perturbation ($\delta i$), position angle perturbation ($\delta \mathrm{PA}$), the local warp tilt ($\beta$), warp gradient ($\psi$), and twist ($\gamma$), for each target. These files support the findings presented in our paper: The exoALMA program gave an unprecedented view of the complex kinematics of protoplanetary disks, revealing diverse structures that remain poorly understood. We show that moderate disk warps (∼0.5–2°) can naturally explain many of the observed large-scale velocity features with azimuthal wavenumber m = 1. Using a simple model, we interpret line-of-sight velocity variations as changes in the projected Keplerian rotation caused by warping of the disk. While not a unique explanation, this interpretation aligns with growing observational evidence that warps are common. We demonstrate that such warps can also produce spiral structures in scattered light and CO brightness temperature, with ∼10 K variations in MWC 758. Within the exoALMA sample, warp properties correlate with stellar accretion rates, suggesting a link between the inner disc and outer disc kinematics. If warps cause large-scale kinematic structure, this has far reaching implications for turbulence, angular momentum transport, and planet formation. Each CSV file corresponds to one disc and one warp quantity (e.g., MWC_758_delta_i_gp_samples.csv), with rows representing posterior samples and columns corresponding to radial grid points (in AU). Summary: Two directories, one for the 12CO and the other for the 13CO results Posterior samples of $\delta i(R)$, $\delta \mathrm{PA}(R)$, $\theta(R)$, $\psi(R)$, and $\gamma(R)$ for all discs in the exoALMA sample. Files are named following the convention: <disc_name>_<quantity>_gp_samples.csv Includes a script for a quick view - when in the directory containing the unzipped directories, run python quick_plot.py --target <disc_name> --data-dir <species_directory> --quantity <quantity>