KU Leuven Research Data Repository
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Lamb Weather Type classification
No full textThese Python documents give access to the required functions to calculate the Lamb Weather Type classification. Included are the original Lamb Weather Type classification (Function_LambWeatherTypeClassification_27types), the associated function to determine the grid at which the Lamb Weather Types are determined (Function_creating_grid_LWT) and the function containing the adjusted, region- and variable specific classification (Function_LambWeatherTypeClassification_13types_heat_Belgium)
Replication Data for: Understanding Substrate Binding and Reactivity of Stearoyl-CoA Desaturase (SCD1) through Classical and Multiscale Molecular Dynamics Simulations
No full textThis dataset forms the foundation of the publication associated with it, providing all necessary files to replicate and validate the research. It includes Amber parameter files (.parm7) and coordinate files (.rst7) required for running classical molecular dynamics (MD) simulations of stearoyl-CoA desaturase (SCD1) in complex with its substrate. Additionally, it contains coordinate files (.xyz) and Gaussian16 output files (.log) for all relevant cluster model species referenced in the study. The dataset also provides an Amber trajectory file (.crd), containing the initial frames from each umbrella sampling window
Beyond Foreigner Talk: multimodal repertoires in L1-L2 interaction
No full textThis dataset was analyzed as part of my PhD project 'Beyond Foreigner Talk: multimodal repertoires in L1-L2 interaction'. It contains video recordings of dyadic interactions between L1 and L2 speakers of Dutch and French in both a picture description (PD) and a free conversation (FC) task. On the basis of the videos, body part tracking data and gesture annotations were created, which were analyzed using the R scripts and data tables found in this dataset. In addition the data also contains the stimuli and results from a behavioral experiment on gesture in L2 comprehension in Dutch. The context and objectives of these datasets are described in detail in my dissertation, which can also be found here.This research project challenges the common belief that first language (L1) speakers simplify their language when communicating with second language (L2) users, which is captured in Charles Ferguson’s ‘Foreigner Talk’ hypothesis. The stereotype suggests that L1 speakers use more and larger gestures, along with simplified vocabulary, to accommodate L2 speakers. However, we aim to move beyond the idea of simplification, recognizing the dynamic nature of linguistic registers. In our view, the distinction between L1 and L2 competence reflects a difference in knowledge of particular repertoires, that is, individual and cultural solutions to deal with recurrent communicative tasks. In this respect, we sought to understand how L1 speakers adjust their use of linguistic and gestural resources when interacting with L2 partners.
We tested two common stereotypes about L1-L2 interaction through video-recorded picture descriptions and conversations. First, we found no evidence that L1 speakers gesture more or bigger when addressing L2 speakers. Instead, the amount of gesture was influenced by the task at hand and the social dynamics of the interaction, such as the degree of mutual attraction between participants. Nevertheless, we did observe differences in how gestures were used. L1 speakers employed more gestures that established spatial distinctions, helping to structure the description or the conversation. This practice made gestural movement stand out, rather than gesture size or frequency, and contributed to the interaction’s coherence. We also found evidence for this claim in a further experiment, where adding more gestures to a complex description improved comprehension for L1 listeners, but not for L2 listeners. Furthermore, making gestures more depictive or larger did not enhance their relevance for either group.
Second, our findings do not support the idea of lexical simplification in L1-L2 interaction. While previous research on ‘Foreigner Talk’ has suggested that L1 speakers repeat their own words more frequently when speaking to L2 users, we found that self-repetition according to the conversational partner’s behavior rather than whether they were using an L1 or L2. In fact, L1 speakers were less dependent on the lexical choices of their L2 partners as compared to L1 partners. We observed a lower amount of cross-speaker repetition which may be explained by an increased meta-awareness of the dialog itself, leading to reduced automaticity. In conclusion, our research indicates that the use of speech and gesture in L1-L2 interaction is primarily shaped by the sort of repertoires and interactional processes the particular task requires, and the language background of the addressee modulates the extent to which these routines are relied on
Replication Data for: Selection of wheat miller’s bran based on the sub-aleurone protein content allows increase of the quality of bran-enriched bread
No full textWheat miller’s bran negatively affects the gluten network but contains the grain tissue with the highest gluten content, the sub-aleurone. Here, the aim was to investigate how sub-aleurone gluten proteins in miller's bran affect bran-enriched bread quality. A bread-making experiment was performed with six lab-scale-produced bran samples. These strongly differed in protein content (10.8-18.6%) but had a similar particle size (d50: 1266-1330 µm) and strong water retention capacity (0.71-0.80 mL H2O/g). Bran protein content variation mainly originated from sub-aleurone protein content variation (10.7-26.2%). Incorporating the bran with the highest versus lowest sub-aleurone protein content increased the loaf volume by 22.4% (concept was validated for commercial bran). 99% of loaf volume variation could be explained by sub-aleurone protein content variation. Conclusively, sub-aleurone protein content is the most important factor regarding bran functionality in bread-making. Therefore, bran selection based on (sub-aleurone) protein content could be a low-cost, low-effort opportunity for bran-enriched bread-making
An energy and area efficient, all digital entropy source compatible with modern standards based on jitter pipelining
No full textThis repository provides a reference hardware implementation for a jitter-based pipelined True Random Number Generator (TRNG) design. It provides measurement data from a 28 nm ASIC implementation along with the complete ASIC architecture, including netlists and layouts. Figure generation scripts are included to visualize the measurement data
Replication Data for: Coupled-Cluster Treatment of Complex Open-Shell Systems: The Case of Single-Molecule Magnets
No full textThis dataset includes comprehensive resources for a project analyzing electronic states and magnetic properties of molecular magnets using coupled-cluster methods. It contains input and output data files, summary reports, visualizations, and custom scripts, offering a complete suite for reproducing and exploring the project findings
Replication Data for: A simple method for analysis of vitamin A palmitate in fortified cereal products using direct solvent extraction followed by reversed-phase HPLC with UV detection
No full textThe purpose of this dataset was to optimise a method for the analysis of vitamin A, in the form of retinyl palmitate, in fortified cereal products. Hereto, a reversed-phase HPLC procedure to separate retinyl palmitate (analyte) and retinyl acetate (internal standard) was optimised. In a next step , two extraction procedures, using either acetone/methanol or chloroform/methanol as extraction solvent, were optimised and validated. Three different matrices were investigated: a model system consisting of retinyl palmitate, oil and wheat bran, fortified bread and fortified cookies. All files contain experimental data related to the optimisation and validation of the developed method.
This dataset contains all data used in the following publication: Van Wayenbergh, E., Verheijen, J., Langenaeken, N.A., Foubert, I. and Courtin, C.M. (2023). A simple method for analysis of vitamin A palmitate in fortified cereal products using direct solvent extraction followed by reversed-phase HPLC with UV detection. Food Chemistry 404, 134584
Replication Data for: Chronicling GDPR Transparency Rights in Practice: The Good, the Bad and the Challenges Ahead
No full textThis dataset contains the surveys used to conduct the two legal-empirical studies on the right of access under Article 15 GDPR in 2020 and 2022, in both .docx and .json format. It also includes the figures used to illustrate the findings presented in the following paper: Pierre Dewitte, Jef Ausloos, 'Chronicling GDPR Transparency Rights in Practice: The Good, the Bad and the Challenges Ahead' International Data Privacy Law (2023) 14 International Data Privacy Law 1
Replication Data for: Thermal evolution of life history and heat tolerance during range expansions toward warmer and cooler regions
No full textPhenotype data of the experiment described in Carbonell & Stoks. 2020. Ecology. The purpose was to test for evolution of phenotypes of the damselfly Ischnura elegans during range expansion from France into two regions in Spain (northern Spain and Southern Spain). The datasets contain values of measured variables at the end of a rearing experiment from the egg stage of larvae from the three regions reared at 4 temperatures. Measured variables are the following: heat tolerance (CTmax), development time, food intake, growth rate, growth efficiency, and survival
Supplementary materials for: Constitutive neural networks for main pulmonary arteries: Discovering the undiscovered
No full textThis dataset in KU Leuven's research data repository is the supplementary materials for the research paper entitled "Constitutive neural networks for main pulmonary arteries: Discovering the undiscovered".
Authors: Thibault Vervenne (KU Leuven), Nele Famaey (KU Leuven), Ellen Kuhl (Stanford University) and Mathias Peirlinck (TU Delft).
Citation: Vervenne, T., Peirlinck, M., Famaey, N. et al. Constitutive neural networks for main pulmonary arteries: discovering the undiscovered. Biomech Model Mechanobiol (2025). https://doi.org/10.1007/s10237-025-01930-1
The dataset contains the source data, code, results, and an explanatory readme.txt file.
readme.txt
data\
stretch (F) and nominal stress (P) for n = 8 samples, in axial (11) and circumferential (22) directions.
code\
CANN4Artery_main_loop.py: main code sample-specific runs of neural network, all fiber angles, fixed and fitted fiber direction
CANN4Artery_main_all-in-one.py: main code for cross-sample feature selection, all fiber angles, fixed and fitted fiber direction
ModelsArtery_p.py: build the invariant strain energy densitity function + stress calculations, as well as the reduced and Holzapfel-Gasser-Ogden models, no regularization and L1 regularization
PlotArtery_p.py: plot the results for sample-specific runs of neural network
PlotArtery_all.py: plot the results for cross-sample feature selection
Python: 3.9.18
tensorflow: 2.10.0
pandas: 2.2.2
numpy: 1.26.4
matplotlib: 3.8.4
sklearn: 1.5.1
results\
results-sample-specific.xlsx: spreadsheet containing results for sample-specific runs of neural network, all samples, all fiber angles, fixed and fitted fiber direction, no regularization and L1 regularization
results-cross-sample.xlsx: spreadsheet containing results neural network for cross-sample feature selection, all fiber angles, fixed and fitted fiber direction, no regularization and L1 regularization
results-reduced.xlsx: spreadsheet containing neural network results for reduced constitutive equation, all fiber angles, fixed and fitted fiber direction
results-hgo.xlsx: spreadsheet containing neural network results for Holzapfel-Gasser-Ogden constitutive equation, all fiber angles, fixed and fitted fiber direction, + classical Holzapfel-Gasser-Ogden material parameter fitting result