KU Leuven Research Data Repository
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GIS database Eurometropolis Lille-Kortrijk-Tournai
This dataset contains open-source GIS data on the built environment and landscape of the Eurometropolis Lille-Kortrijk-Tournai region, collected during a PhD research on ageing infrastructure and urban-rural development. The dataset includes Geopackage (.gpkg) files with spatial data, QML files with style information, and CSV metadata files describing data layers, sources, and themes. The data was gathered using QGIS. This resource is valuable for researchers, urban planners, and policymakers interested in spatial development and infrastructure planning
Annotated samples for: Tied together, fried together: Understanding semantic extensibility through semantic loss.
This dataset contains semantically annotated random samples for the preposition and adverb about, the adjective awful and the multifunctional item so analyzed for the paper 'Tied together, fried together: Understanding semantic extensibility through semantic loss' (Ceuppens & De Smet 2025). The dataset was created to revisit the concepts of sanctioning, directionality and clustering from Radial Network Theory (Tyler & Evans 2001) with evidence from semantic loss. Random samples from different time periods were drawn from EEBO, CLMET and BNC. Each sample was annotated for sense (and in the case of so, form) according to the data coding protocols described in Ceuppens & De Smet (2025). This dataset may be useful for researchers looking to replicate the study's results or build upon its findings
Magister Dixit Collection’s Corpus: Transcriptions automatically generated through STUDIUM.HTR
This archive contains the automatically generated transcriptions of the early modern manuscripts digitized in the Magister Dixit Collection. These are 599 notebooks of Louvain students from the Old University of Louvain (1425-1797), scattered over various heritage institutions and digitized by the KU Leuven Digitization Service Digilab in collaboration with the KU Leuven Institute LECTIO. The transcriptions are extracted using the pipeline STUDIUM.HTR developed by the STUDIUM.AI Research Infrastructure (RI). This RI is funded by FW0 I004022N. The LIRIAS project code: I004022N#56873242
Co-occurring mental health problems in adolescents with ADHD and sleep problems
This dataset contains data on symptoms of co-occurring mental health problems, self- and parent-reported sleep problems, and objective and subjective sleep parameters of three groups of adolescents (13–17 years): 1) with ADHD and comorbid self-reported sleep problems (N = 56), 2) with ADHD but without self-reported sleep problems (N = 25), and 3) without ADHD (N = 56)
Replication Data for: STREAM-PRS: A multi-tool pipeline for streamlining Polygenic Risk Score computation
This dataset consists of summary statistics from an IBD GWAS on an in-house IBD dataset as well as polygenic risk scores (PRS) weights for IBD and BMI that were derived using the STREAM-PRS pipeline. For details, please refer to the read me file
Exploring resilience with families
The dataset contains depersonalized transcripts from 8 focus groups that took place between March and June 2023 at various locations in Belgium. The participants were selected from families on a low income, lone-parent families, families living in a rural area, families with a migrant background and families with unpaid carers. The aim of the focus groups was to understand the strategies strategies that families put
in place to overcome labour market risks, especially as they intertwine with care, the resources that they have access to and those that they require to avoid negative (socio-economic and other) outcomes, as well as the trade-offs and decisions that people face with respect to the mobilisation of those resources.
The data were collected for the rEUsilience project (Horizon Europe, Grant agreement 101060410)
Replication data for: The impact of unit operations during processing on (deep-fried) potato mash properties
The files include data about how changing the conditions during processing impacts the properties of (deep-fried) potato mashes and SAS output of the proc mixed procedure. The methods used are described in the article entitled 'The impact of unit operations during processing on (deep-fried) potato mash properties'
Replication data for: The impact of post-harvest potato storage on (deep-fried) potato mash properties
The files include data about how long-term post-harvest potato storage impacts properties of (deep-fried) potato mashes. In this study, the composition of potatoes from Fontane and Challenger cultivars, the characteristics of their starches and the properties of mashes made from these potatoes stored for up to eight months were analyzed. Fontane potatoes underwent more storage induced changes that impacted the properties of (deep-fried) potato mashes compared to Challenger potatoes. For instance, only Fontane mashes showed an increase in firmness and viscoelasticity when potatoes were stored for a longer time. This could be linked to the decrease in moisture content of the potatoes and thus of the mashes made thereof. Moreover, more water evaporated during deep-frying and the resultant oil content of deep-fried potato mashes made from Fontane but not from Challenger potatoes increased as a function of the storage duration of the potatoes used to make them. Since the characteristics of starch and the molecular mobility in mashes were minimally impacted by potato storage for both cultivars, it is assumed that storage-induced changes in potato cell walls and/or pectin methyl esterase activity contribute to the observed differences between deep-fried mashes made from fresh versus stored Fontane potatoes. The acquired insights to help understand how potato storage can impact the properties of (deep-fried) potato mash-based products
Replication data for: "Vocabulary knowledge and vocabulary use in writing: A cross-sectional comparison of L2 English and L2 French"
Dataset for the statistical analyses in the paper: "Vocabulary knowledge and vocabulary use in writing: A cross-sectional comparison of L2 English and L2 French". 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 and writing tasks in both languages. The dataset contains participants' scores on the vocabulary tests (2K frequency level score, 3K score, and total) and the values computed for several indices of vocabulary use in writing (lexical diversity and lexical sophistication). In addition, we collected data from L1 writers as a benchmark, whose data are included in the second worksheet
Dataset for the manuscript "Early detection of false codling moth infestation in citrus fruit by SIFT-MS"
Dataset for the manuscript "Early detection of false codling moth infestation in citrus fruit by SIFT-MS". The dataset contains the notional analyte concentrations of the product ions pertaining to the SIFT-MS measurements and larval data