KU Leuven Research Data Repository
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Dataset for the manuscript "Tolerance mechanism of pear to hypoxic storage".
No full textDataset for the manuscript "Tolerance mechanism of pear to hypoxic storage".
The dataset includes the number of reads assigned to each gene per fruit. Counts were acquired from the sequencing libraries made by Polar Genomics (Ithaca, USA)
Replication Data for: 'Hardware Cost Evaluation in Systems Security'
No full textThis repository contains the code and datasets for 'Hardware Cost Evaluation in Systems Security'. In this paper, we survey hardware evaluations in practice, and show how omissions in evaluation details can significantly alter implementation results. Finally, we propose a preliminary open-source toolchain, EVAL-HD, based on best practices from the field of cryptographic hardware. This repository contains an archived version of EVAL-HD (commit 1ce6b1c). In addition, we provide the data for our literature review, and scripts to reproduce the Vivado results and figures in Section 3
Replication Data for: Characterizing Magnetic Shielding Effectiveness Below 30 MHz Using Time-Domain Techniques
No full textThis dataset supports the study on time-domain measurement of magnetic field shielding effectiveness below 30 MHz, providing data for evaluating waveform types, dynamic range, and comparison with frequency-domain and numerical simulation results
Replication Data for: Peeters et al. (2022) - A comprehensive normative reference database of muscle morphology in typically developing children aged 3-18 years – a cross sectional ultrasound study
No full textThis cross-sectional dataset contains lower limb muscle morphology data of 118 typically developing children. This data was collected as part of the investigation by Peeters et al. (2022) - A comprehensive normative reference database of muscle morphology in typically developing children aged 3-18 years – a cross sectional ultrasound stud
Replication Data for: ZeroTouch Reinforcing RSS for Secure Geofencing
No full textGeofencing, the virtual demarcation of physical spaces, is widely used for managing the localisation of Internet of Things (IoT) devices. This folder includes the CAD model of the apartment used as the environment for the simulations in "ZeroTouch: Reinforcing RSS for Secure Geofencing". The model serves as the basis for analysing wireless propagation scenarios
Replication Data for: Tuning the Crystallinity of a Metal-Organic Coordination Network at the Liquid-Solid Interface
No full textThe purpose of this data set is to give the reader access to the experimental data used in the publication "Tuning the Crystallinity of a Metal-Organic Coordination Network at the Liquid-Solid Interface" ( DOI: https://doi.org/10.1021/jacs.4c17152). This folder contains:
- A dataset of scanning tunnelling microscopy (STM) images.
- A dataset of atomic force microscopy (AFM) images.
- A dataset of liquid (AFM) images.
- A dataset of UV-vis absorption spectroscopy data.
- A dataset of X-ray photoelectron spectroscopy (XPS) data.
- Quantitative analysis files used for a systematic study of the effect of temperature on the crystallinity of the metal-organic coordination network (MOCN) under investigation.
- Persistent homology (PH) computation output data
Replication Data for: A multiscale model of ascending thoracic aortic aneurysm development in Marfan syndrome for in silico trials
No full textThis dataset contains a MATLAB implementation of a computational model to predict multiscale growth and remodeling of ascending thoracic aortic aneurysms in Marfan syndrome. The model contains a tissue-scale mechanical description of the aneurysm and a cell-scale protein signaling and gene regulatory network for the cells in the aortic wall (smooth muscle cells, fibroblasts, and endothelial cells). The model was calibrated and validated using murine experimental data, and allows to perform in silico trials to predict changes in aneurysm rupture risk upon perturbation of the nodes in the cell-scale model
Floral resources in the surrounding landscape matrix augment plant species richness of bumblebee pollen loads in small, fragmented calcareous grasslands
No full textPollinator populations have shown substantial declines worldwide due to habitat loss and fragmentation, with bees experiencing particularly sharp reductions in both species richness and abundance. While local management measures in semi-natural grasslands and agri-environmental schemes (AES) intend to improve farmland biodiversity, the extent to which these measures affect foraging behavior and pollen resource use of bees in fragmented landscapes remains poorly understood. In this study, we tested the hypothesis that landscape and grassland management affected floral resource use of two bumblebee species (Bombus lapidarius and B. pascuorum) in fragmented calcareous grasslands in Central Germany. Pollen metabarcoding was used to assess the richness and community composition of pollen loads from both bumblebee species. Moreover, we compared the interactions detected by pollen analysis to those observed in transect walks. The results showed that both species foraged in the broader landscape and collected pollen from plant species found in AES. The percentage of land within 1 km allocated to non-productive AES (e.g., flower strips) was associated with higher pollen species richness in both B. lapidarius and B. pascuorum. In the latter species, this relationship was particularly strong in smaller sites. Landscape and site management variables affected the species composition of pollen assemblages collected from both bumblebee species. Our study showed that bumblebees utilize floral resources from the broader landscape, especially from non-productive AES, illustrating that these schemes can support local pollinator communities of semi-natural grasslands in fragmented agricultural landscapes
Replication Data for: Effect of sulfated/carboxylated cellulose nanocrystals with different degrees of substitution on the morphology and electrochemical performance of polypyrrole electrodes
No full textThis dataset contains electrochemical, spectroscopic and thermal data for cellulose nanocrystal supported polypyrrole electrodes, including CV, GCD, EIS, FTIR, DLS, ZP, TGA, SEM and EDS
Replication Data for: Unveiling Illusionary Robust Features: A Novel Approach for Adversarial Defenses in Deep Neural Networks
No full textIn this paper, we used three widely used benchmark datasets: CIFAR-10, MNIST, and CINIC-10. CIFAR-10 contains 60,000 color images (50,000 for training and 10,000 for testing) across 10 classes for object recognition tasks. MNIST consists of 70,000 grayscale images of handwritten digits, commonly used for image classification research. CINIC-10 extends CIFAR-10 with a selection of ImageNet images, totaling 270,000 images across the same categories, supporting scalability and robustness evaluations. Together, these datasets provide a foundation for research in computer vision, neural networks, and transfer learning.
In the paper, "Unveiling Illusionary Robust Features," we applied our purified robustification method to CIFAR-10 and CINIC-10. The resulting purely robustified CIFAR-10 dataset is available here: (train_data available in "https://drive.google.com/file/d/1kUlo2mHeTaA-fdEonaeK-rts7bhm4l5y/view?usp=sharing", and train_labels are available in "https://drive.google.com/file/d/1p7msdDBnbg4Jz5NGBG-roNjczR7QvkVd/view?usp=sharing")