KU Leuven Research Data Repository
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Revealing the physical restrictions of caecal influx in broilers through the use of solid and soluble markers
This dataset contains all data supporting the article: Vanderghinste P., Bautil A. Bedford M. R., González-Ortiz G., Lamberigts C., Aslam I., Roeffaers M., Courtin C. M. Revealing the physical restrictions of caecal influx in broilers through the use of solid and soluble markers. Animal Nutrition 2025. This research aimed to contribute to optimising caecal fibre fermentation in broilers, which can improve broiler health and performance in a sustainable way. Therefore, the limitations of caecal influx in broilers were studied through three broiler trials in which the caecal development and the influx of solid and soluble markers as a function of age were followed up
Replication Data for: A time-resolved X-ray microcomputed tomography study of fermenting gluten-starch model doughs containing wheat and oat flour water extracts enriched in proteins
Water-extractable (WE) flour constituents significantly influence bread loaf volume. However, the underlying mechanisms remain unclear. Time-resolved X-ray microcomputed tomography (µCT) and confocal laser scanning microscopy (CLSM) were utilized to study the impact of WE proteins from wheat and oat flours on the evolution of gas cells and dough strands in model gluten-starch (GS) dough during fermentation. This dataset contains the following: data on X-ray microcomputed tomography [X-ray µCT] (5 excel files; "1 - XCT ...", "2 - XCT ..."), data on breadmaking experiments (1 excel file; "4 - Breadmaking"), timelapse videos during breadmaking (4 videos), images obtained during confocal laser scanning microscopy (6 images), and animated 3D renders of the doughs during X-ray µCT tomography experiments (3 videos
Replication Data for: Evolution in peak oxygen uptake and its impact on physical activities of daily living in chronic kidney disease and transplantation
The purpose of this dataset was to assess changes in cardiorespiratory fitness, specifically peak oxygen uptake (V̇O2peak) and percent-predicted V̇O2peak, across the different stages of chronic kidney disease (CKD), with the glomerular filtration rate (GFR) as a key estimate of the patients' kidney function. The data, identified through the PubMed database, was retrospectively analyzed from 192 cohorts, encompassing a total of 5757 CKD patients. The analysis aimed to investigate the decline in V̇O2peak across the spectrum of CKD, from early- to end-stage kidney failure, as well as the evolution of cardiorespiratory fitness following kidney transplantation
Replication Data for: "Early phosphate changes as potential indicator of unreadiness for artificial feeding: a secondary analysis of the EPaNIC RCT"
Data described in the manuscript consisting of 1 posthoc analysis on the EPaNIC trial. Background: As compared to withholding parenteral nutrition (PN) until one week after intensive care unit (ICU) admission, Early PN prolonged ICU dependency in the EPaNIC randomized controlled trial (RCT). The Refeeding RCT showed improved outcome by temporary macronutrient restriction in ICU patients developing refeeding hypophosphatemia, defined as a phosphate decrease of > 0.16 mmol/L to levels 0.16 mmol/L decrease over the first 2 ICU-days), or a combination of both (CHP) interacted with the randomized nutritional strategy for its impact on outcome, adjusted for risk factors. In case of significant interaction, we studied whether the respective change could be predicted by baseline characteristics. Results: Of 3520 patients with available phosphate measurements, AHP developed in 9.1%, RHP in 23.7%, and CHP in 5.3% of patients. RHP, but not AHP or CHP, interacted with the randomized intervention for its impact on outcome (p = 0.01). In RHP patients, Early PN independently associated with a lower likelihood of an earlier discharge alive from ICU (adjusted HR 0.75 [0.65-0.87]). In patients without RHP, Early PN did not significantly associate with this outcome (adjusted HR 0.93 [0.86-1.00]). Development of RHP was only poorly predicted by admission characteristics (adjusted pseudo R-squared = 1.7%). Conclusion: Development of RHP may identify patients who are particularly harmed by early PN. Future studies should prospectively validate the potential of including RHP in a ready-to-feed indicator
STUDIUM.HTR a Pipeline for Handwritten Text Recognition
STUDIUM.HTR is a Handwritten Text Recognition (HTR) pipeline that can automatically transcribe handwritten text. This archive contains two sub-archives:
1. STUDIUM.HTR-main.zip – contains the code, models, and training data for our HTR model (see more details inside the archive).
2. DiffLine-main.zip – contains the code and models for our Handwritten Text Generation (HTG) system (see more details inside the archive).
The development of STUDIUM.HTR is part of the STUDIUM.AI project.
This RI is funded by FW0 I004022N.
The LIRIAS project code: I004022N#56873242
Replication Data for: Training and Evaluation of Named Entity Recognition Models for Classical Latin
Repository for NER data for Latin. The repo includes manual Named Entity Recognition (NER) annotation for three texts:
Cicero, In M. Antonium Oratio Philippica prima (3754 tokens, annotated by Margherita Fantoli)
Juvenal, Satirae 1-3 (4399 tokens, annotated by Evelien De Graaf and Margherita Fantoli)
Tacitus, Historiae 1 (11983 tokens; annotated by Evelien De Graaf)
The tokens are taken from the LASLA corpus. Every token is associated to its token and lemma URIs as found in the LiLa Knowledge Base.
Latin_Silver_Data:
This folder contains the automatic NER annotation for the texts included in the portion of the LASLA corpus linked to the LiLa Knowledge Base, and includes the URIs of the linking. The model used for the annotation is found at retrain with best params. See the following paper about the LiLa-LASLA linking: Linking the LASLA Corpus in the LiLa Knowledge Base of Interoperable Linguistic Resources for Latin (Fantoli et al., LDL 2022)
Latin NER code: contains the code to train a LatinBERT model for Latin NER<br
PoidPy
Poidpy is a transport demand modelling toolkit. The core idea is that POIs form the main origins and destinations of trips and hence can be used to estimate travel demand between regions. It uses the freely-available disaggregate land use data from OpenStreetMap to estimate demand for any region.
Functionalities:
OSM data extraction, cleaning and enhancing POI
OSM data categorization into residential and activity POIs
Production and attraction model calibration
Production and attraction model estimation
Visualisations of POIs, production and attraction calibration and estimatio
Replication Data for: Unveiling Mucorales Infections: A Cutting-Edge Longitudinal Imaging Approach for Real-Time Infection and Host-response Monitoring in Galleria mellonella and Mouse Models
Purpose:
The dataset supports the publication “Unveiling Mucorales Infections: A Cutting-Edge Longitudinal Imaging Approach for Real-Time Infection and Host-response Monitoring in Galleria mellonella and Mouse Models.” It is shared to promote transparency, reproducibility, and to facilitate further research on Mucorales infection dynamics and antifungal efficacy.
Nature:
The dataset comprises raw and processed data obtained from multiple experimental setups, including imaging data (bioluminescence and micro-CT), infection kinetics, survival analyses, and statistical outputs underlying the figures and results reported in the manuscript.
Scope:
Data were generated from in vitro and in vivo experiments, including longitudinal infection studies conducted in Galleria mellonella and mouse models. The dataset provides quantitative and qualitative insights into host–pathogen interactions and fungal burden progression, supporting future translational and preclinical investigations
Replication Data for 'Exploiting negative photochromism to harness a four-photon-like fluorescence response with two-photon excitation'
This dataset shows the design and spectroscopic characterisation of molecular constructs consisting of a photoswitch and a two-photon absorbing fluorophore. This design allows for non-linearly potentiated fluorescence with a quartic fluorescence response upon two-photon excitation
Replication Data for: Robust full-vehicle end-of-line cabin sound quality assessment across multiple vehicle types using domain alignment
This dataset contains real-world automotive cabin sound recordings from a vehicle equipped with a hybrid powertrain. Measurements were conducted by systematically varying vehicle speed (run-up/run-down) to capture cabin noise profiles. The dataset includes samples representing typical 'healthy' vehicle acoustics and instances of a 'wind noise fault'. Variability was incorporated through repeated measurements, acquisition across different real-world acoustic conditions, and microphone placement at multiple in-cabin locations, specifically the driver’s head and the rear middle passenger’s head positions. All audio files are provided in .wav format. This dataset is suitable for tasks such as fault diagnosis, acoustic anomaly detection, and sound quality assessment in automotive contexts