This dataset contains raw AE signals from drilling titanium alloy Ti-6Al-4V (18 experiments, 180 holes, drill D = 2.5 mm), FFT-filtered data (band 90–400 kHz), and features extracted using the TSfresh library for machine learning. The dataset supports research on tool wear prediction and process condition classification.

Source code for FE simulations of large deforming hyperelastic periodic structures. Installation of SfePy package is required.

We present a controlled experimental dataset of the near wake behind a long, smooth, and rough-surface circular cylinder, acquired with time-resolved classical and stereoscopic PIV in a low-turbulence free stream. A high-aspect-ratio model is used to approximate the infinite-span limit, and measurements are taken in the central span to minimize end effects across a subcritical Re of about 5k. We report robust, facility-independent results: instantaneous and mean velocity fields in the streamwise and crossflow planes of the cylinder wake. Emphasis is placed on measurement fidelity and reproducibility: calibration and self-calibration procedures, mapping accuracy, timing, correlation peak metrics, and ensemble convergence are documented to enable error estimation. Spanwise homogeneity checks substantiate the “long-cylinder” approximation in the measurement region and delineate its limits. The effect of cylinder surface roughness is studied by presenting results for both a smooth cylinder, R0, and a cylinder with defined sand roughness, R2. The resulting dataset provides a clean baseline for CFD/LES validation and a reference against which future studies can superimpose controlled roughness, imposed inflow turbulence, or finite-length/end-plate effects. Below are examples of typical time-mean flow fields for both the smooth and rough cylinders.