KU Leuven Research Data Repository
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Disentangling the Power Dynamics in Participatory Data Physicalisation
No full textThis dataset contains files used in the publication:
Silvia Cazacu, Georgia Panagiotidou, Thérèse Steenberghen, and Andrew Vande Moere. 2025. Disentangling the Power Dynamics in Participatory
Data Physicalisation. In CHI Conference on Human Factors in Computing Systems (CHI ’25), April 26-May 1, 2025, Yokohama, Japan. ACM, New York, NY, USA, 19 pages. https://doi.org/10.1145/3706598.3713703
The .csv file documents the systematic literature review of Participatory Data Physicalisation (PDP) examples and the ontology used to qualitatively analyse these examples.
Here, we synthesised contributions from both participatory design and visualisation literature by building a cross-disciplinary ontology structured along five fundamental dimensions WHO, WHAT, WHY, WHEN/WHERE and HOW.
We then applied this cross-disciplinary ontology through a codebook thematic analysis
to a representative corpus of 23 PDP artefacts that were identified via a systematic literature review.
This analysis resulted in a series of themes, sub-themes and codes that revealed the context in which power dynamics operate when multiple individuals are invited to construct PDPs collaboratively.
By then reflecting upon these themes, sub-themes and codes, this paper presents three contributions:
1) a cross-disciplinary ontology that facilitates the systematic analysis of various PDP artefacts and processes;
2) a critical analysis that calls for increasing the power of participants through accurate issue representation, contextualized data, greater expressive freedom and ability to voice dissent;
3) the most prominent power dynamics in current PDP practice that highlight the need to involve participants more in the planning, deployment and construction of PDP.
The .jpg shows an early version of the ontology - screenshot from Miro.
The .png represents an overview of the 23 PDP artefact analysed
Soil moisture measurements and field data from agricultural fields in Flanders (2021–2023)
No full textThis dataset contains soil moisture data from 18 open-field vegetable cropping cycles in Flanders (Belgium) between 2021 and 2023. Measurements include continuous soil moisture sensor data (TEROS 10 at 15 cm depth), manual gravimetric soil moisture samples from the top 30 cm, and soil physical properties such as bulk density and water retention. Field-specific data on irrigation, crop type, soil type, planting dates, and local weather conditions (ETo and precipitation) are also included. The dataset was compiled to support research on real-time soil moisture modeling, irrigation scheduling. It is part of the DRIP project ("Datagedreven Regeling van druppelirrigatie voor een duurzame Productie in de tuinbouw")
Data for paper: De Smet, Isabeau & Laura Rosseel (2023) "Who’s afraid of homophones? A multimethodological approach to homophony avoidance."
No full textThis contains the data for the paper "De Smet, Isabeau & Laura Rosseel. 2023. Who’s afraid of homophones? A multimethodological approach to homophony avoidance. Language & Cognition 2023. 1-24." These data consist of two datasets: one on an experimental study and one on a corpus study and the relevant R-codes. Both datasets contain attestations of preterites and perfects. The experimental dataset also comprises of metadata on the condition, the exact version of the experiment etc. The corpus study consists of material from the Spoken Dutch Corpus, with manually and semi-automatically annotated variables on frequency, verb stem, lemma etc
Endnote collection of articles on Green Deal policies
No full textThese are the collected data for the literature review on Green Deal policies around the world - in EndNotes .txt files. Two search rounds were conducted: in early 2024 and then in early 2025.
A total of 986 publications were collected from the World of Science and Scopus databases (755 in the original search round in 2024 and in 231 in the additional search round in early 2025). Of these, 30 were selected for the data analysis phase (26 from the original round and 04 from the additional round).
817 articles were excluded from the data analysis because they did not meet the three criteria stipulated in the article (603 in the original round and 214 in the additional round). In addition, there were a total of 139 duplicates and publications that were not peer-reviewed journal articles
Replication Data for: In vivo pollen tube growth dynamics in banana (Musa spp.)
No full textIn vivo pollen tube growth dynamics in banana were assessed in several controlled crosses using both wild diploid and cultivated diploid and triploid varieties. Pre-anthesis pollination as well as the timing of pollination during the day (morning vs. evening), were also tested to evaluate their influence on pollen tube growth. Data exists of pollen tube growth score, pollen tube amount and pollen tube length measurements for each experiment
Replication Data for: The Benefit of Evolution of Pesticide Tolerance Is Overruled under Combined Stressor Exposure due to Synergistic Stressor Interactions
No full textDespite pleas to consider both evolutionary and multistressor climate change perspectives to improve ecological risk assessment, the much needed combination of both perspectives is largely missing. This is especially important when evaluating the costs of the evolution of genetic tolerance to pollutants as these costs may become visible only under combined exposure to the pollutant and warming due to energetic constraints. We investigated the costs of chlorpyrifos tolerance in Daphnia magna when sequentially exposed to 4-day pesticide treatments and 4-day heat spike treatments. Exposure to chlorpyrifos reduced the fitness of chlorpyrifos-sensitive clones (reduced survival, mass, and reproductive performance), while it had positive (hormetic) effects on clones selected for chlorpyrifos tolerance. We did not find any costs of chlorpyrifos tolerance in the absence of the stressors and only a weak sublethal cost when only exposed to the heat spike. Notably, when sequentially exposed to the pesticide and the heat spike, the benefit of the evolution of chlorpyrifos tolerance was nullified as the chlorpyrifos-tolerant clones experienced (stronger) synergistic interactions between both stressors and stronger thermal costs when preceded by exposure to the pesticide. This highlights the importance of multistressor studies to correctly assess the costs of genetic pesticide tolerance and the potential of evolution of pesticide tolerance to rescue nontarget populations
Replication Data for: Adjusting to errors in arithmetic: a longitudinal investigation of metacognitive control in 7–9-year-olds
No full textIntroduction: Monitoring and controlling one’s performance are essential skills
for children’s cognitive development and academic success. Metacognitive
control, operationalized as post-error adjustments, is, however, often measured
in conflict tasks, but the findings of such studies may not be readily generalizable
to academic domains, such as arithmetic. Yet, investigating how children
control their performance in arithmetic is crucial in understanding the large
individual differences within this specific academic domain. This longitudinal
study investigated how children control their performance through post-error
slowing and accuracy improvement in arithmetic. We additionally examined this
development of metacognitive control in a working memory task, to further
unravel its domain-generality or the lack thereof.
Methods: A cohort of 127 typically developing children, followed up
longitudinally from 7–8 years old (2nd grade of primary school) to 8–9 years old
(3rd grade of primary school), completed an arithmetic and working memory
task at two time points.
Results and discussion: Meticulous comparison of response times and
accuracy rates following errors with those following correct answers revealed
the presence of metacognitive control at each time point. We observed
significant positive correlations between children’s metacognitive control and
their arithmetic accuracy at 7–8 years old, underscoring a possible adaptive role
of metacognitive control in the learning phase of arithmetic. No correlations
were found between the post-error adjustments in the arithmetic task and
those in the working memory task, challenging previous evidence for domain-
generality of post-error adjustments
Replication Data for: "SMaRT Stacking: a Methodology to Produce Optimally Layered EMI Shields with Maximal Green Index using Fused Deposition Modeling"
No full textMeasurements of S-parameters obtained with a Vector Network Analyzer (VNA) in the X-band frequency range (8 - 12 GHz) to train the permittivity function of PLA/MWCNT nanocomposites produced via Fused Deposition Modeling (FDM).
VNA measurements of the optimal stacks are also included
Replication Data for: Impact of dry starchy ingredients and hydroxypropyl methylcellulose on the properties of (deep-fried) potato mashes
No full textThe quality of deep-fried, frozen potato mash-based products to a degree relies on the characteristics of the dry starchy ingredients included in mash production. In this study, the impact of the inclusion of potato granulates, potato flakes, rice flour and the addition of hydroxypropyl methylcellulose (HPMC) on the molecular mobility (probed via 1H NMR relaxometry), viscoelasticity and firmness of potato mashes as well as the oil content and firmness of the mashes after deep-frying was evaluated. Substituting 10% potato tissue dry matter (DM) by potato granulate in potato mash of equal moisture content or adding 1.0% HPMC reduced the potato mash firmness, likely due to the smaller particle size of potato granulates and HPMC’s interference with amylose network development. Moreover, substituting 10% potato tissue DM in potato mash by 10% rice flour or potato granulate increased the portion of CH protons in rigid environments and caused a greater molecular mobility heterogeneity in the regions of high mobility. This resulted in an increased loss modulus and a decreased strain range for linear viscoelastic behavior of potato mashes. HPMC use reduced deep-frying-induced water evaporation and oil absorption. However, its effectiveness was reduced when dry starchy ingredients, especially rice flour, were included in the mash formulation, probably because they interfered with the ability of HPMC-water interactions to reduce the molecular mobility in the mash. It is concluded that the use of dry starchy ingredients and HPMC allows for tailoring the viscoelasticity, firmness and oil content of (deep-fried) potato mashes
Replication Data for: Impact of soy protein concentrate preparation method on structure formation during high moisture extrusion
No full textGiven the widespread use of soy protein concentrate (SPCs) in the industrial production of meat analogues, it is expected that understanding relationships between raw material physicochemical properties and extrudate characteristics could guide the development of soy protein-rich ingredients with properties tailored to specific applications. Therefore, this study aimed to explore the relationship between the physicochemical properties of SPCs, obtained by applying different lab-scale preparation conditions, and the characteristics of extrudates produced from these SPCs. This dataset includes: the (protein) composition, thermal properties (file 01, 02), protein dispersibility and water-holding capacity (file 03) of four SPCs; the rheological results obtained using Closed-Cavity Rheometer (file 04); the specific mechanical energy during HME (file 05); X-ray computed tomography results and textural results of extrudates (file 06, 07).
The results are included in Excel files. Please look at the readme.text first