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Item type:Research Data, Access status: with files , Data supplement for publication: Lagrangian µ-Particle Tracking Velocimetry Analysis of Microscale Flow over Structured Surfaces(2026-09-17); ;Nissen, Jan; ; The TUHH Open Research (TORE) repository contains the raw and processed data underlying the publication "Lagrangian µ-Particle Tracking Velocimetry Analysis of Microscale Flow over Structured Surfaces". The dataset includes experimental particle tracking velocimetry (PTV) data, the design files of the investigated structured surfaces, and the corresponding MATLAB analysis scripts. The study investigates flow over micro- and nanostructured surfaces as a basis for improving (bio)reactor design, with a focus on mass transport near the surface. µ-PTV was used to obtain three-dimensional, time-resolved particle trajectories and velocity fields in a microreactor. The Lagrangian analysis shows that rectangular microgrooves increase particle contact with the wall. In particular, when the microgrooves are oriented perpendicular to the flow. The analysis reveals near-surface phenomena such as particle trapping and localized recirculation that are not captured by averaged Eulerian velocities alone. The dataset is accompanied by a detailed REadMe file and a separate folder structure file, which describe the file organization, the naming conventions used throughout the repository, and how the individual files relate to the results reported in the associated publication.Data Type: Experimental Data62 81 - Some of the metrics are blocked by yourconsent settings
Item type:Research Data, Access status: with files , WakeMix – Lagrangian particle tracking data and bubble shapes for rising bubble experiments (data paper1)(2026-02-18)This is the data and some scripts for the fluid motion of the wake of rising, wobbling bubbles published in the article: "Experimental analysis of time resolved three-dimensional velocity and vorticity fields behind single rising bubbles using Lagrangian particle tracking velocimetry" in Chemical Engineering Science (CES) in 2026 (https://doi.org/10.1016/j.ces.2026.123403, Received 21 October 2025; Received in revised form 23 December 2025; Accepted 19 January 2026)Data Type: Software ; Data Type: Dataset129 172