5 results
Now showing1 - 5 of 5
- Some of the metrics are blocked by yourconsent settings
Item type:Research Data, Access status: with files , Dataset for Magnetic Resonance Imaging Investigation of Hydrodynamic Scale-up in Gyroid Triply Periodic Endo-Skeleton Surface Geometries(2026-10-01); ; ; This dataset contains experimental data of Magnetic Resonance Imaging Investigation of Hydrodynamic Scale-up in Gyroid Triply Periodic Endo-Skeleton Surface Geometries. The accompanying README file provides detailed descriptions of all included files and explains the research context, methodological information, and the measured variables.Data Type: Dataset37 40 - Some of the metrics are blocked by yourconsent settings
Item type:Research Data, Access status: with files , Supplementary Data for the Paper: “Rapid quantitative chemical composition mapping using model-based MRI reconstruction with field inhomogeneity correction”(2026-09-28); ; ; ; This dataset provides the materials necessary to reproduce the results presented in the paper "Rapid Quantitative Chemical Composition Mapping Using Model-Based MRI Reconstruction with Field Inhomogeneity Correction." It includes measurements acquired on the vertical magnetic resonance system located at TUHH. The data are provided in the ISMRMRD format. The source code is available at: https://github.com/IBIResearch/chem-resolved-mriData Type: Dataset45 17 - Some of the metrics are blocked by yourconsent settings
Item type:Research Data, Access status: with files , Supplementary Data for the Paper: “Data-Driven Localization of Magneto-Mechanical Resonators from Time Signals”(2026-09-07); ; ; ; This dataset provides the materials necessary to reproduce the paper "Data-Driven Localization of Magneto-Mechanical Resonators from Time Signals". It includes simulated data and background noise to reproduce the training and real measurements, with ground truth to infer the provided model.Data Type: Dataset31 69 - Some of the metrics are blocked by yourconsent settings
Item type:Research Data, Access status: with files , Data supplement for publication: Comprehensive study of 3D liquid flow fields in additively manufactured structures for SMART reactors using large-scale vertical magnetic resonance imaging and computational fluid dynamicsThe TUHH Open Research (TORE) repository contains raw and processed data associated with the publication "Comprehensive study of 3D liquid flow fields in additively manufactured structures for SMART reactors using large-scale vertical magnetic resonance imaging and computational fluid dynamics". The dataset comprises experimental magnetic resonance imaging velocimetry data, numerical results from OpenFOAM simulations, and corresponding design files. The publication investigates the flow behaviour in additively manufactured TPMS structures using a large-bore vertical 3 T MRI system. Cross-validation between experimental measurements and numerical simulations is performed. Three different TPMS geometries are analysed within the Darcy-Forchheimer regime. The folder is accompanied by a ReadMe file and a separate folder structure file, which provide detailed information on file organisation, naming conventions, and their relation to the reported results.Data Type: Experimental Data ; Data Type: Simulation Data76 43 - Some of the metrics are blocked by yourconsent settings
Item type:Research Data, Access status: with files , Supplementary Data for the Paper: “Deep Learning for Restoring MPI System Matrices Using Simulated Training Data”(2025-12-11); ; ; ; This dataset provides the materials necessary to reproduce the paper “Deep Learning for Restoring MPI System Matrices Using Simulated Training Data.” It includes the simulation parameters used to generate a dataset of simulated system matrices, the corresponding noise, the trained models, and the real measurements used for validation. The code is available at: github.com/IBIResearch/mpi-sm-restoration.Data Type: Dataset229 1511