Data and code for "Moving-Wall Fidelity in Lattice-Boltzmann Simulations: An Integratedness Gradient, and a Near-Wall Sign Set by Discretization"

Simulation setups, parameter-sweep output, and figure-generation scripts supporting the Journal of Computational Physics paper of the same title (the third in a moving-wall lattice-Boltzmann fidelity series by G. Pavlov, Lehigh University). The paper extends a static-wall LBM fidelity framework to the moving wall and reports an "integratedness gradient": the sensitivity of a moving-wall observable to the choice of bounce-back boundary operator is graded by how much of the wall the observable integrates. The wall source is the universal 5/18-per-Ma² ghost-energy invariant; the near-wall velocity-defect sign is shown to be a discretization signature, set by the voxelization effective wall radius rather than operator physics; and the integrated rotating-disk pump is operator-robust to within grid scatter. This archive reproduces every quantitative result and figure using two production codes — OpenLB 1.9 (CPU/CUDA) and FluidX3D (OpenCL GPU) — across a benchmark ladder (single-step ghost-energy kick, Taylor–Couette flow, lid-driven cavity, rotating-disk Ekman pump, Taylor–Green vortex). Contents: openlb/ (C++ example setups and run scripts), fluidx3d/ (drop-in Taylor–Couette setup), data/ (parameter-sweep CSVs and the cross-code defect output), and figures/ (Python generation scripts and rendered PDFs). See README.md for the result-to-code-to-data mapping and software versions.