KU Leuven Research Data Repository
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Code for Recursive Objective Space Exploration (ROSE): A Computationally Efficient Deterministic Approach for Bi-Objective Optimization.
No full textThis dataset contains the Matlab code and supplementary files accompanying the development of the Recursive Objective Space Exploration (ROSE) algorithm, developed for bi-objective optimization problems. The materials include the core implementation and example configurations. This dataset is intended to support reproducibility, benchmarking, and further development of efficient deterministic algorithms in multi-objective optimization
Replication Data for: Process and Design Guidelines for Inkjet-Printed Organic Photovoltaic Cells – Using the Example of PM6:Y6
No full textInkjet printing (IJP) is a promising non-contact and digital technique for the precise deposition and patterning of functional materials on reduced areas, enabling versatile applications in both indoor and outdoor environments. In this work, we present processing and design guidelines for IJP the active layer of organic photovoltaics (OPVs), covering ink preparation with non-halogenated solvents, film printing, and post-treatment. The benchmark PM6:Y6 system, a well-known high-performance donor-acceptor combination that remains relatively unexplored in the IJP field, and a commercially available IJP system are selected as a case study. Trends in power conversion efficiency (PCE) were observed with respect to the studied parameters, providing insight into the morphology–performance relationship of IJP films. Maximum optimized PCEs of 3.31% under 1-sun and 4.37% under 500 lux indoor illumination were achieved for IJP active layers produced at ambient conditions. This study highlights not only the feasibility of eco-friendly, inkjet-printed OPVs, but also general process trends to guide the fabrication of efficient, miniaturized devices for the Internet of Things (IoT), wearable electronics, and other low-power electronics applications
Replication Data for: "From “Onion Not Found” to Guard Discovery"
No full textThis repository holds the code and data for our PETS'22 paper titled 'From "Onion Not Found" to Guard Discovery'. Each subfolder contains instructions to reproduce results, figures, and tables per the respective section in the paper. Please see the README.md files in each subfolder for more information.
We present a novel web-based attack that identifies a Tor user’s guard in a matter of seconds. Our attack is low-cost, fast, and stealthy. It requires only a moderate amount of resources and can be deployed by website owners, third-party script providers, and malicious exits—if the website traffic is unencrypted. The attack works by injecting resources from non-existing onion service addresses into a webpage. Upon visiting the attack webpage with Tor Browser, the victim’s Tor client creates many circuits to look up the non-existing addresses. This allows middle relays controlled by the adversary to detect the distinctive traffic pattern of the “404 Not Found” lookups and identify the victim’s guard. We evaluate our attack with extensive simulations and live Tor network measurements, taking a range of victim machine, network, and geolocation configurations into account. We find that an adversary running a small number of HSDirs and providing 5 % of Tor’s relay bandwidth needs 12.06 seconds to identify the guards of 50 % of the victims, while it takes 22.01 seconds to discover 90 % of the victims’ guards. Finally, we evaluate a set of countermeasures against our attack including a defense that we develop based on a token bucket and the recently proposed Vanguards-lite defense in Tor
Data for paper: Wellens, J., Kerkhofs, L., Deschaume, O., Putzeys, T., Franceschini, F., Taurino, I., Wagner, P., McLaughlin, M., Verhaert, N., & Bartic, C. (2025). Hydrogen peroxide sensing with cochlear implants in vivo: Towards intra-operative trauma detection. Sensors and Actuators B: Chemical, 137789. https://doi.org/10.1016/j.snb.2025.137789
No full textThis contains all data used to construct the figures in the paper and supplementary information of: Wellens, J. et al., Hydrogen peroxide sensing with cochlear implants in vivo: Towards intra-operative trauma detection. Sensors and Actuators B: Chemical, 137789. https://doi.org/10.1016/j.snb.2025.137789
The data mostly contains electrochemical characterization data of the IrOx reference electrode (Open circuit potential, impedance, ...) and of the hydrogen peroxide sensing electrode (Amperometry, impedance). Additionally AFM images used for determination of roughness and thickness, as well as cell viability and adhesion are included
Group Nouns in Ancient Greek
No full textThis dataset contains Ancient Greek collective nouns annotated for a number of variables, as used in Keersmaekers & Van Hal (2022), In Search of the Flocks:
How to Perform Onomasiological Queries in an Ancient Greek Corpus? Each row is an instance of a collective noun in the GLAUx corpus, with some accompanied information so as to explain their diachrony and semantics. For more details about how these nouns are retrieved and what we can do with them, see the cited paper
EXIMIOUS Factsheets
No full textIn the EXIMIOUS project, we aim to identify immune fingerprints as signs of environmental exposure (biomarker). Ideally, these early signs can be picked up before health is harmed, to help prevent diseases in individuals in the general population and/or in workers with a specific type of exposure. We will extensively collect clinical and socio-economic data as well as information on the environmental exposure (exposome) and the health status of the immune system (immunome), of participants from several cohorts—covering the entire lifespan, including prenatal life.
It includes various cohorts (https://www.eximious-h2020.eu/cohorts/) each providing unique insights into how environmental and occupational exposures impact health. Funded by the EU's Horizon 2020 program, EXIMIOUS seeks to improve public health through comprehensive exposure assessments and immune response analyses
Replication Data for: Impact of acetic acid, lactic acid, and succinic acid on protein secondary structure and water-binding capacity of bread dough in the context of sourdough-type breadmaking
No full textData used for the manuscript "AImpact of acetic acid, lactic acid, and succinic acid on protein secondary structure and water-binding capacity of bread dough in the context of sourdough-type breadmaking" Data of dough liquor analysis and protein secondary structure analysis of bread dough. The impact of acetic acid, lactic acid, and succinic acid addition to acidify the dough ph down to 4.5 on the dough constituents on a molecular level was studied. The data file involves numeric data obtained from chemical analyses and Spectral data from ATR-FTIR analysis of the bread doug
Data for: Understanding climate-friendly gardening behaviour and its climate impact, Belgium
No full textThis dataset presents anonymized self-reported survey data collected via a cross-sectional online survey, and geospatial data calculated based on publicly available objective geospatial data. The aim was to understand the behavioural potential for climate-friendly gardening by homeowners in domestic gardens
Artifact for: 'Battering RAM: Low-Cost Interposer Attacks on Confidential Computing via Dynamic Memory Aliasing'
No full textThis repository contains the archived artifact for 'Battering RAM: Low-Cost Interposer Attacks on Confidential Computing via Dynamic Memory Aliasing.' With Battering RAM, we demonstrate how a low-cost DDR4 interposer can bypass deployed countermeasures to introduce memory aliases, breaking the protections offered by Intel Scalable SGX and AMD SEV-SNP. This artifact includes the hardware designs for the interposer, the firmware for the microcontroller, and proof-of-concept code for all attacks described in our paper
GBIF-mediated plant occurrence data from South American Lomas ecosystems
No full textThis dataset contains GBIF-mediated occurrence records for 125 plant species associated with South American Lomas ecosystems along the arid coast of Peru. The Lomas are fog-dependent desert ecosystems that act as key refuges for biodiversity but are increasingly threatened by climate change and urban expansion.
Occurrence data were obtained between 23 and 29 January 2023 using the R package spocc to query GBIF and related aggregators via the GBIF occurrence search API. For each species, raw records were saved in species-specific CSV files and include scientific name, geographic coordinates, year, basis of record, coordinate uncertainty (when available), and the GBIF dataset key identifying the original data source. No additional cleaning or filtering (e.g. removal of spatial outliers, temporal limits, or duplicate records) was applied to the files in this repository; they represent the unaltered downloads used as input for subsequent data cleaning and species distribution modelling.
These data support a study projecting future habitat suitability for Lomas plant species under two climate scenarios (SSP1-2.6 and SSP3-7.0), with a focus on differences between endemic vs. non-endemic species and along elevational gradients