KU Leuven Research Data Repository
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Replication Data for: Dimensions of cellulose nanocrystals from cotton and bacterial cellulose: comparison of microscopy and scattering techniques
No full textThe dataset contains raw data used for determination of dimensions of cellulose nanocrystals from different sources and different surface chemistry. Atomic force microscopy was used to determine length, width and height (and their respective polydispersities); small angle X-ray scattering was used to obtain width and height (and their respective polydispersities). Depolarized dynamic light scattering and static light scattering were used to obtain hydrodynamic cross-section dimension and radius of gyration respectively, which are complementary to the actual dimension
BelHouse3D: A Dataset for 3D Indoor Scene Point Clouds
No full textThe BelHouse3D dataset is a synthetic point cloud dataset for 3D indoor scene semantic segmentation. It is constructed using real-world references from 32 houses in Belgium, ensuring that the synthetic data closely aligns with real-world conditions. Additionally, it includes a test set with data occlusion to simulate out-of-distribution (OOD) scenarios, reflecting the occlusions commonly encountered in real-world point clouds. The dataset is used to benchmark both fully supervised and few-shot learning (FSL) segmentation models
Replication Data for Boekentips geschiedenis Vlaanderen
No full textThis dataset contains information regarding the book advice given by famous Flemish persons. It is gathered via three different initiatives of 'boekentips (book advice): one from the Flemish Public News Agency VRT NWS, one from the indipendent media channel Knack, and one from an independent podcaster. The data breaks down which types of books the guests on these initiatives recomend. The data runs from December 2016 to January 2021
Replication Data for: Multinuclear solid-state NMR investigation of structurally diverse low-dimensional hybrid metal halide perovskites
No full textThis dataset contains NMR data files that were included in the peer-reviewed journal article: Hooper, T. J. N.; Febriansyah, B.; Krishnamoorthy, T.; D. Wong, W. P.; Xue, K.; W. Ager, J.; Mathews, N. Journal of Materials Chemistry A 2024, 12 (35), 23461–23474. https://doi.org/10.1039/D4TA02833C. A link to this dataset is provided in the Data Availability Statement of the article to adhere to the author guidelines of the Royal Society of Chemistry. The NMR data is used in the article to compare the atomic-scale structure and molecular dynamics of metal halide perovskites with different structural dimensionalities. It is hoped that this insight will enable better material design of metal halide perovskite materials for optoelectronic devices
IOTA Phase 1b: validation of models to distinguish between a benign and malignant adnexal tumor before surgery
No full textThis is the phase 1b of the IOTA study. This dataset contains the data of 507 prospectively collected patients presenting with at least one persistent adnexal mass collected in three centers from three countries between 2002 and 2005, who underwent surgery
Replication data for Carrières historici met PhD Vlaanderen
No full textOverview of historians graduated with a PhD from Flemish universities and their current professional occupation, for the period 1988-2018. The data contains individual names, year of PhD, historical period of specialization, University of PhD, current type of work, connection to university of PhD, place of work. The data allows to question how Flemish PhD's in history transferred to a further (non) research career. The data was gathered in the summer of 2019 and thus only reflects the PhD's occupation at that time
Replication Data for: MAP Philip the Good
No full textThis dataset contains all the primary research data from the MOLAB research project "Multi-disciplinary Analysis of the Portrait of Philip the Good", assembled during the in-situ analyses executed 14-22 February 2024 at the Musée des Beaux-Arts in Dijon, by the research teams from SCITEC (Perugia, IT), INO (Florence, IT) and Nicolaus Copernicus University (Torun, PL
Replication Data for: AuCu bimetallic nanocluster-modified titania nanotubes for photoelectrochemical water splitting: composition-dependent atomic arrangement and activity
No full textThe purpose of this data set is to give the reader access to the (untreated) experimental data used in the publication "AuCu bimetallic nanocluster-modified titania nanotubes for photoelectrochemical water splitting: composition-dependent atomic arrangement and activity" (DOI: 10.1039/d4nr03219e).
The data set is organised in subfolders that contain SEM images of the titania nanotubes and their decoration with AuCu nanoclusters, x-ray spectoelectron spectroscopy, photoluminescence spectra, uv-vis spectra, x-ray diffraction data, and the photoelectrochemical characterisation. Considered samples are bare titania nanotubes (TNT), nanotubes covered with pure gold or copper nanoclusters, and nanotubes covered with alloy AuCu nanoclusters with atomic compositions 25%-75%, 50%-50 and 75%-25%
Replication Data for: Towards a typology of European migration attitudes across time and space: a person-centred approach
No full textReplication materials for article:
Goubin, S., Ruelens, A. with Goubin, S. (corresp. author) (2024). Towards a typology of European migration attitudes across time and space: a person-centred approach. Journal Of Ethnic And Migration Studies. doi: 10.1080/1369183X.2023.2301406.
This replication material consists of the codes to prepare the European Social Survey data, to get the descriptive statistics, and the R environment with information on all the reported estimated models within the main manuscript and appendix
Replication Data for: Gene expression driving ethylene biosynthesis and signaling pathways in ripening tomato fruit; a kinetic modelling approach
No full textThis dataset is served for the manuscript "Gene expression driving ethylene biosynthesis and signaling pathways in ripening tomato fruit; a kinetic modeling approach". The dataset includes calibration data, calibration condition, validation data and validation condition. Calibration and validation data contain measured concentrations of intermediates, the enzyme activity of ACOs and ACSs, and protein abudance of ACOs, ACSs, and signaling proteins, serving as the outputs in the model. Calibration and validation conditions contain gene expression results, which are used as the input in the model