KU Leuven Research Data Repository
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Replication data for: Comparative evaluation of DNS, PAHBAH, and BCA colourimetric assays for quantifying reducing sugars
No full textThis dataset contains all obtained data of the publication "Comparative evaluation of DNS, PAHBAH, and BCA colourimetric assays for quantifying reducing sugars" by Lisa Coddens, Charlotte F. De Schepper, Kristof Brijs and Christophe M. Courtin (https://doi.org/10.1016/j.carres.2025.109770). In this publication, three colourimetric assays were compared for quantifying reducing sugars to evaluate glycoside hydrolase activity. The DNS and PAHBAH assays overestimated reducing sugar concentrations, with the extent of overestimation increasing with the degree of polymerisation, attributed to alkaline degradation. In contrast, the BCA assay showed minimal alkaline degradation, and its measurements were independent of degree of polymerisation, making it a promising assay for reliable, high-throughput screening
Replication Data for: Study of thorium in hypersonic gas jets: Ionization potentials of Th and Th+
No full textExperimental data of laser spectroscopy studies of two isotopes of thorium (232Th and 229Th) performed at the IGLIS laboratory at the instituut voor Kern- en Stralingsfysica, KU Leuven in 2023. These studies consisted of Resonance Ionization Spectroscopy measurements (RIS), time-of-flight measurements of photo-ion flight (TOF) and mass measurements using a dipole magnet (MM).
The data consists of a measurement of the (unresolved) hyperfine structure of the 229Th atom using RIS and production of 229Th ions (MM) using alpha recoil sources.
In the case of 232Th, the data contains a MM of the laser ablation source and extensive RIS measurements performed near the first and second ionization potentials.
TOF data under different conditions (electric field, shielding) is included of an autoionizing state and a Rydberg state near the first ionization potential
LAMP: Lightweight Approaches for Latency Minimization in Mixnets with Practical Deployment Considerations
No full textThe dataset contains code to reproduce the results of the paper titled 'LAMP: Lightweight Approaches for Latency Minimization in Mixnets with Practical Deployment Considerations,' which has been accepted for publication in the proceedings of the Network and Distributed System Security Symposium (NDSS) 2025. Specifically, it provides all the necessary scripts and data to reproduce the analytical and simulation results presented in the paper. Our dataset is fully reproducible, covering all data in the publication. It has been rigorously evaluated by NDSS and has earned all the NDSS conference badges, highlighting its quality and reliability
BEV energy dynamics dataset
No full textThis dataset comprises high-resolution (1-second) time-series measurements of actual energy values associated with a battery electric vehicle, including the charger, the battery system, and auxiliary devices. It captures energy behavior across various operational modes—charging, driving, and parking—under diverse operational conditions. By providing a detailed view of energy distribution, this dataset enables a range of analytical and practical applications, such as optimizing smart charging strategies, reducing operational costs, analyzing usage patterns, improving the efficiency of high energy-consuming components, developing AI-based predictive models, and assessing the vehicle’s impact on the power grid. Overall, it offers a rich foundation for advancing research in electric mobility, energy efficiency, and intelligent energy management
Full resolution data for: Global Patterns of Gully Occurrence and their Sensitivity to Environmental Changes
No full textThis dataset provides GeoTIFF files showing predicted global patterns of gully head susceptibility and gully density. It also includes maps indicating the uncertainty range of predicted gully head densities for each pixel, as well as the most influential feature driving each prediction. The spatial resolution of all datasets is 30 arcseconds (approximately 1 km at the equator)
Replication Data for: A Domain Knowledge Informed Approach for Anomaly Detection of Electric Vehicle Interior Sounds
No full textThis dataset contains automotive cabin sounds generated using advanced sound synthesis techniques for the purpose of sound quality assessment. It includes both healthy and faulty data, with faults categorized into five classes: Imbalance, Modulation, Whine, Wind, and PWM. All audio files are provided in .wav format. The dataset is suitable for tasks such as anomaly detection, fault classification, and perceptual sound quality evaluation in automotive environments
Replication Data for: Interplay between microstructure deformation, oil absorption, and physicochemical changes to starch during deep-frying
No full textStarch constitutes the major macronutrient constituent in numerous deep-fried foods. In this study, the impact of starch physicochemical properties during deep-frying on the corresponding microstructural deformations were investigated for wheat starch (WS) and potato starch (PS) hydrated to 40 and 50 % moisture content (MC) using complementary techniques assessing (micro)structure in-situ (time-resolved X-ray microcomputed tomography and variable-temperature time domain proton nuclear magnetic resonance) and ex-situ (differential scanning calorimetry, swelling properties and scanning electron microscopy). Within 5 s of deep-frying, WS and PS swelling increased and most starch gelatinized, resulting in fully amorphous starch chains exhibiting high molecular mobility. Structure expansion during deep-frying (5–30 s), triggered by rapid steam generation in pre-existing air pores, was supported by starch chains in a rubbery state. Notably, PS exhibited greater swelling, more extensive disruption of granule morphology, and formed larger pores in the microstructure compared to WS. With longer deep-frying times, WS and PS granular integrity was progressively lost. Expansion of steam-filled pores, and thus global structure, ceased when starch in the outer regions of the structure lost sufficient water and transitioned to a glassy state. Oil absorption during deep-frying strongly depended on the starting porosity of formulations. PS and WS at 40 % MC were highly porous before deep-frying and displayed considerable oil absorption immediately upon their submersion in oil when vapor pressures were still low. However, PS and WS at 50 % MC did not exhibit porous microstructures before deep-frying and showed no oil absorption during the process (60 s)
Replication Data for: 'BadRAM: Practical Memory Aliasing Attacks on Trusted Execution Environments'
No full textThis repository contains an archived version of the artifact for 'BadRAM: Practical Memory Aliasing Attacks on Trusted Execution Environments' (commit 980c1be). BadRAM leverages malicious SPD contents to bypass TEE protections by introducing memory aliases. This artifact includes the scripts and tools used in our experiments, such as the Python scripts to unlock and overwrite SPD contents, and the FAI tool for finding memory aliases. It also provides the proof-of-concept implementations and end-to-end attacks described in the paper
Replication Data for: Verreydt et al. (2025) - Medial gastrocnemius and semitendinosus muscle growth in typically developing children: Longitudinal reference growth trajectories
No full textThis is a longitudinal dataset consisting of macroscopic muscle parameters of the medial gastrocnemius and semitendinosus of typically developing children (aged 0.39-11.76 years at baseline). Macroscopic muscle parameters were assessed through 3D freehand ultrasound and included both muscle morphology (muscle volume, anatomical cross-sectional area, muscle-tendon unit length, muscle belly length, tendon length) and muscle composition (echo-intensity)
Replication Data for: Brush and Dry: A Posttreatment-Free Simple Process to Pattern PEDOT:PSS Films with Enhanced Thermoelectric Performance via Shear Flow-Induced Morphology Tuning
No full textThese data correspond to the publication: https://pubs.acs.org/doi/10.1021/acsami.5c00803. They pertain to the characterization of the materials we developed in the research and were used to draw the figures in the paper. These raw data were obtained experimentally in the lab via direct measurements or were produced automatically from commercial equipment detailed in the methodology of the cited published paper. The file names are self-explanatory and directly refer to the publication figures