KU Leuven Research Data Repository
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Replication data for: Vitamin A stability during storage of fortified gari produced using different fortification strategies
No full textThis dataset contains all data related to the publication: Van Wayenbergh, E., Abena, A.A., Baert, J., Langenaeken, N.A., Appaw, W.O., Foubert, I., Oduro, I.N. & Courtin, C.M. (2024). Vitamin A stability during storage of fortified gari produced using different fortification strategies. npj Science of Food, 8 (102), https://doi.org/10.1038/s41538-024-00350-2. The data include analysis of the quality characteristics, sensory aspects and vitamin A stability during storage of vitamin A-fortified gari samples produced using three different fortification strategies, including retinyl palmitate addition, red palm oil addition and the use of biofortified yellow cassava. In addition, the use of cereal bran as a vitamin A-stabilising agent was tested
Data related to the manuscript submitted as "Overcoming challenges and obstacles in future agrivoltaics across temperate Europe: an opinion"
No full textData related to the opinion piece submitted as "Overcoming challenges and obstacles in future agrivoltaics across temperate Europe: an opinion".
Here, research papers describing the field work on which this opinion is based will be collected for future reference. This principally encompasses the crop and microclimate research done by all partners in the H2020 HyPErFarm project [grant number 101000828]. For original research data, please refer to these manuscripts
Replication Data for: Thermodynamics-informed Graph Neural Networks for Phase Transition Enthalpies
No full textThis data contains the code from SolProp the repository that was used for the training of the paper: https://gitlab.kuleuven.be/creas/vermeiregroup/solprop. Additionally, a digitized version of the Phase transition enthalpy compendium from Acree, W. and Chickos, J. S. is added. Please cite the following sources if you use it in your work:
[1] Acree, W. and Chickos, J. S. Phase Transition En-thalpy Measurements of Organic and Organometallic Compounds. Sublimation, Vaporization and Fusion En-thalpies From 1880 to 2015. Part 1. C1-C10. Journal of Physical and Chemical Reference Data 2016, 45
[2] Acree, W. and Chickos, J. S. Phase transition en-thalpy measurements of organic and organometallic compounds and ionic liquids. sublimation, vaporization, and fusion enthalpies from 1880 to 2015. part 2. C11-C192. Journal of Physical and Chemical Reference Data 2017, 46
[3] Acree, W. and Chickos, J. S. Phase Transition En-thalpy Measurements of Organic Compounds. An Up-date of Sublimation, Vaporization, and Fusion En-thalpies from 2016 to 2021. Journal of Physical and Chemical Reference Data 2022, 5
Replication data for: "The role of out-of-school language contact and instruction in L2 English and L2 French vocabulary knowledge and use"
No full textDataset for the statistical analyses in the paper: "The role of out-of-school language contact and instruction in L2 English and L2 French vocabulary knowledge and use". Data were collected from second language learners of English and French in secondary school (grade 10 and grade 12), who each completed a vocabulary test, writing tasks and a questionnaire in both languages. The dataset contains participants' scores on the vocabulary tests (total percentage scores), the values computed for several indices of vocabulary use in writing (lexical diversity and lexical sophistication), and their responses to the questionnaire in terms of length of instruction and out-of-school L2 contact
Replication Data for: Machine Learning-Driven Optimization of Thermoelectric Materials Laser-Printed on Flexible Substrate
No full textReplication data for Machine Learning-Driven Optimization of Thermoelectric Materials Laser-Printed on Flexible Substrate .
Abstract:
The development of flexible, lightweight, and scalable thermoelectric (TE) generators is critical for powering next-generation wearable and Internet-of-Things (IoT) devices. However, conventional fabrication routes for the benchmark Bi2Te3-based material are limited to the production of rigid and small devices. Emerging printing processes like laser bed powder fusion (LBPF) enable flexibility and free shaping, but at the expense of decreased performance. In this study, we utilize machine learning (ML) to optimize the TE performance of LBPF-fabricated Bi0.5Sb1.5Te3-based materials printed on a flexible substrate. By comparing multiple ML frameworks, we developed a predictive tool able to prescribe the Sb concentration, laser processing parameters, and printing atmosphere, leading to the highest performance. A ~4% improvement in average power factor, up to 1282 µW m-1 K-2, is achieved compared to the initial best-performing materials identified by an exhaustive traditional search of the experimental space. A flexible printed TE energy harvesting module produced with the optimized materials and occupying 4 cm2 displays a power output of 44 µW at ΔT = 30 K. This approach advances data-driven TE materials manufacturing and enhances the understanding of LPBF–property relationships, paving the way to high-performance, flexible TEGs for next-generation IoT and wearable systems
A Dataset of Electrical, Thermal, and Radial Shaft Force Measurements of a 1.1 kW Induction Motor with Static Rotor Eccentricity
No full textA dataset is created of terminal voltages, phase currents, stator temperature and radial shaft forces of a rotor-eccentric 1.1 kW induction motor. The induction motor was modified to introduce static rotor eccentricity on the load-end of the motor in a controlled manner by radially displacing the load-side bearing. To achieve this, the motor bearing was externalised and an external flange construction allows a precise introduction of static rotor eccentricity.
By changing the flange plate on which the external bearing is mounted, three settings of static eccentricity are introduced: a centric rotor, a rotor with 25% air gap eccentricity at the load side, and a rotor with 50% air gap eccentricity at the load side. Note that while these displacements are present at the load side, the fan-side of the motor remains
centric. This means that the average rotor eccentricity is much lower than 25% and 50% of the air gap length. Additionally, the direction of the eccentricity is changed in increments of 90° by rotating the flange plate.
The temperature values can be used to infer the actual stator phase resistance as R = R_0 * (1 + k * (T - T_ref)), with the reference phase resistance R_0 = 3.99 ohm at the reference temperature 20°C, and the measured thermal coefficient k = 0.0043609
Torsional and Axial Tension/Compression Data: Fatigue Behavior of Ti-6Al-4V Diamond Lattices Produced by Laser Powder Bed Fusion
No full textThis dataset contains:
1. Fatigue test data of axial and torsional fatigue tests for R ratio (stress ratio) of 0.1 and 1 for diamond lattices made of Ti-6Al-4V ELI alloy.
2. Data on porosity estimation via X-ray computed tomography of the lattice.
3. Data on porosity estimation via Archimedes' principle of the lattice.
4. Data on quasi-static torsional and axial tests.
5. Computer program to calculate local stress of lattices subjected to axial and torsional stresses
Interviewer questions in political interviews with politicians and experts in Terzake
No full textThe materials in this dataset consist of 307 ‘question turns’, i.e., turns taken by interviewers to ask interviewees a question or confront them with a statement. The question turns were taken from interviews in Terzake, a Flemish current-affairs programme that specialises in interviews with politicians and experts.
The interviews selected for the study for which the dataset was compiled centre on two topics: the 2019-2020 Belgian federal government formation and the Covid-19 pandemic in the context of Belgium. The data were extracted and transcribed manually from the videos posted on the VRT website.
For ‘formation’ interviews, 150 question turns were gathered spanning the period from election day on 26 May 2019 until the inauguration of the new government on 1 October 2020. The data extraction has a balanced distribution of interviews with leftist, centrist and rightist politicians.
For the ‘Covid’ interviews, the 157 selected question turns date from the period between the announcement of the first strict ‘Covid’ measures on 13 March 2020 until the announcement of the first (cautious) relaxations of the measures on 15 April 2020. For the 'Covid' data, a distinction was made between interviews with politicians and experts. Though we aimed at an equal distribution of politician-directed and expert-directed question turns, interviews with experts were more frequent. The resulting ‘Covid’ dataset consists of 74 politician-directed and 83 expert-directed question turns
Replication data for The animal welfare cost of meat
No full textThe excel files contain the raw and cleaned data and the results of the survey about the animal welfare cost of meat. The cleaned data contain the responses of respondents who completed the survey. The summary page contains the description of the variables, the major statistics (mean and median) and the results (tables published in the paper).
A full description of the survey questions (in Dutch) is given in the doc file
Replication Data for "A dietary intervention following incretin analog treatment restores adipose tissue functions in diet-induced obese mice"
No full textObesity is associated with the development of type 2 diabetes. In recent years, incretin analogs have been prescribed at a high rate for the treatment of obesity and diabetes due to their potent effects on lowering body weight and improving glucose homeostasis. However, many patients do not stay on incretin analog therapy and thereby rapidly regain body weight. The noncompliance of patients to incretin analog therapy is not only due to drug shortage but also insufficient knowledge of the long-term effects of the therapy. To address this knowledge gap, we examined the effects of incretin analog treatment and withdrawal on adipose tissue functions in high-fat diet (HFD)-induced obese mice. Our transcriptome data suggest that incretin analog treatment restored most of obesity-mediated deregulated gene expression in adipose tissue. However, genes encoding lipogenic enzymes, downregulated by HFD, were not restored by incretin analog treatment. Interestingly, a dietary intervention with normal chow diet (ND) feeding, but not calorie-matched HFD feeding, restored the expression of lipogenic enzymes. Upon incretin analog therapy withdrawal, mice displayed rapid body weight regain, impaired adipose tissue function, and glucose intolerance. In contrast, an ND intervention following incretin analog therapy withdrawal restored lipogenic gene expression in adipose tissue, maintained glucose homeostasis, and minimized body weight regain. This study revealed the effects of incretin analog therapy and therapy withdrawal on adipose tissue and highlights the importance of the dietary composition during and after incretin analog therapy. Thus, our findings may contribute to the development of long-term therapy guidelines of incretin analog therapy for patients with obesity