cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48804/owdlzb
title: Screening of the physicochemical properties of commercial (non-) alcoholic beers

description: Physicochemical characterisation of 10 commercial alcoholic beers and 9 non-alcoholic beers. The goal of this study is to investigate the relationship between beer composition and bubble quantity. This data set contains all data supporting the following publication: Bossaerts,L., Van Opstaele, Wouters, A.G.B., Courtin, C.M., Langeaken, N.A. (2024) Study of the influence of beer composition on the amount of bubbles in beer: CO2, alcohol, protein and iso-alpha-acid contents as primary predictors, Food Chemistry, https://doi.org/10.1016/j.foodchem.2024.142523.
DOI: 10.48804/co9cwn
title: Replication Code for "A nationwide dataset of de-identified activity spaces derived from geotagged social media data"

description: This repository contains the supplementary data and code for the bias analysis in ‘A
nationwide dataset of de-identified activity spaces derived from
geotagged social media data’. The main dataset with de-identified activity spaces is published separately as https://doi.org/10.48804/MBT32W. This repository only contains the R code necessary to reproduce the analysis and figures in the paper section that focuses on the (spatial distribution) of the under- and overrepresentation of users within the dataset across the United States.
DOI: 10.48804/vpp7se
title: Thermal and latitudinal patterns in pace-of-life traits are partly mediated by the gut microbiome

description: The integration of life-history, physiological and behavioural traits into the pace-of-life generates a powerful framework to understand trait variation in nature both along environmental gradients and in response to environmental stressors. While the gut microbiome has been hypothesized as a candidate mechanism to underlie differentiation in the pace-of-life, this has been rarely studied. We investigated the role of the gut microbiome in contributing to the differentiation in pace-of-life and in thermal adaptation between populations of Ischnura elegans damselﬂy larvae inhabiting warmer low latitudes and colder high latitudes. We carried out a common-garden experiment, whereby we manipulated the exposure of the damselﬂy larvae to two key global warming factors: 4 °C warming and a 30 °C heat wave. Comparing the bacterial composition of the food source and the bacterioplankton indicated that damselﬂy larvae differentially take up bacteria from the surrounding environment and have a resident and functionally relevant microbiome. The gut microbiome differed between larvae of both latitudes, and this was associated with the host's latitudinal differentiation in activity, a key pace-of-life trait. Under heat wave exposure, the gut microbial community composition of high-latitude larvae converged towards that of the low-latitude larvae, with an increase in bacteria that likely are important in providing energy to cope with the heat wave. This suggests an adaptive latitude-speciﬁc shift in the gut microbiota matching the better ability of low-latitude hosts to deal with heat extremes. In general,
our study provides evidence for the gut microbiome contributing to latitudinal differentiation in both the pace-of-life and in heat adaptation in natural populations.
DOI: 10.48804/bopiue
title: Effects of heat and pesticide stress on life history, physiology and the gut microbiome of two congeneric damselﬂies that differ in stressor tolerance

description: The combined impact of toxicants and warming on organisms is getting increased attention in ecotoxicology, but is still hard to predict, especially with regard to heat waves. Recent studies suggested that the gut microbiome may provide mechanistic insights into the single and combined stressor effects on their host. We therefore investigated effects of sequential exposure to a heat spike and a pesticide on both the phenotype (life history and physiology) and the gut microbiome composition of damselﬂy larvae. We compared the fast-paced Ischnura pumilio, which is more tolerant to both stressors, with the slow-paced I. elegans, to obtain mechanistic insights into species-speciﬁc stressor effects. The two species differed in gut microbiome composition, potentially contributing to their pace-of-life differences. Intriguingly, there was a general resemblance between the stressor response patterns in the phenotype and in the gut microbiome, whereby both species responded broadly similar to the single and combined stressors. The heat spike negatively affected the life history of both species (increased mortality, reduced growth rate), which could be explained
not only by shared negative effects on physiology (inhibition of acetylcholinesterase, increase of malondialdehyde), but also by shared effects on gut bacterial species' abundances. The pesticide only had negative effects (reduced growth rate, reduced net energy budget) in I. elegans. The pesticide generated shifts in the bacterial community composition (e.g. increased abundance of Sphaerotilus and Enterobacteriaceae in the gut microbiome of I. pumilio), which potentially contributed to the relatively higher pesticide tolerance of I. pumilio. Moreover, in line with the response patterns in the host phenotype, the effects of the heat spike and the pesticide on the gut microbiome were mainly additive. By contrasting two species differing in stress tolerance, our results suggest that response patterns in the gut microbiome may improve our mechanistic understanding of single and combined stressor effects.
DOI: 10.48804/b2ztzh
title: Replication Data for: Property Prediction of Fuel Mixtures using Pooled Graph Neural Networks

description: The code and datasets used for the recent work called: "Property Prediction of Fuel Mixtures using Pooled Graph Neural Networks". These files contain the code and datasets for reproducing the results of the paper. The datasets contain properties of viscosity, DCN, and flashpoint considering fuel mixtures of two to five components. The scope of the work was to predict these properties for biodiesel fuel mixtures.
DOI: 10.48804/1ldraq
title: Replication Data for: Performance of ferrite nanoparticles in inductive heating swing adsorption (IHSA): how tailoring material properties can circumvent the design limitations of a system

description: The dataset contains the data supporting the development of performant ferrite nanoparticles for inductive heating swing adsorption. It provides theory-based strategies for optimization of the system and an experimental example of how these principles can be inplemented using ferrite nanoparticles. The dataset contains magnetization curves and X-ray diffraction data related to the materials analysed for this work. Replication data of the paper published in DOI: 10.1039/d4mh00377b
DOI: 10.48804/gmm9rf
title: Replication Data for: Pollution offsets the rapid evolution of increased heat tolerance in a natural population

description: Dataset of 'Pollution offsets the rapid evolution of increased heat tolerance in a natural population' in the Science of the Total Environment in 2024. (Authors: Ying Dong, Marlies Van de Maele, Luc De Meester, Julie Verheyen, Robby Stoks). It includes the R script and data used to run models, analyze the statistical results, and make figures of the survival, CTMAX, and more physiological responses to zinc exposure for two Daphnia magna subpopulations resurrected from old (1955-1965) and recent (1995-2005) period.
DOI: 10.48804/hwiqsx
title: Replication Data for: Investigation of the Temperature Effect on the Formation of a Two-Dimensional Self-Assembled Network at the Liquid/Solid Interface

description: The purpose of this data set is to give the reader access to the experimental data used in the publication "Investigation of the Temperature Effect on the Formation of a Two-Dimensional Self-Assembled Network at the Liquid/Solid Interface​" ( DOI: ). This folder contains a dataset of scanning tunnelling microscopy (STM) images and quantitative analysis files used for a systematic study of the effect of concentration and temperature on the overall process of self-assembled molecular network formation at the liquid/solid interface for the case of (9H-fluoren-9-yl)methyl (2-(octadecylamino)-2-oxoethyl)carbamate at the 1-phenlyloctane/HOPG interface. Herein, the effect of the concentration and temperature on the adsorption behaviour, focusing on the surface coverage, has been evaluated at the nanoscale, and obtained results have been analysed using analytical thermodynamic models.
DOI: 10.48804/mnhgzx
title: Replication Data for: Decarbonization of Existing Heating Networks through Optimal Producer Retrofit and Low-Temperature Operation

description: A dataset containing the structure, input parameters and optimization results of the heating network and heat producers used in the test case of the paper "Decarbonization of existing heating networks through optimal producer retrofit and low-temperature operation". 
The optimization results can be replicated using the methodology and formulations described in the paper.
DOI: 10.15468/dl.sw86s5
title: Occurrence Download

description: A dataset containing 200187 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "PublishingOrg is fccc6740-bbb1-11d9-839f-b8a03c50a862"
 ]
}

 The dataset includes 200187 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001705-250324175209820/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48804/brlbcu
title: Replication Data for: Selection of wheat miller’s bran based on the sub-aleurone protein content allows increase of the quality of bran-enriched bread

description: Wheat miller’s bran negatively affects the gluten network but contains the grain tissue with the highest gluten content, the sub-aleurone. Here, the aim was to investigate how sub-aleurone gluten proteins in miller's bran affect bran-enriched bread quality. A bread-making experiment was performed with six lab-scale-produced bran samples. These strongly differed in protein content (10.8-18.6%) but had a similar particle size (d50: 1266-1330 µm) and strong water retention capacity (0.71-0.80 mL H2O/g). Bran protein content variation mainly originated from sub-aleurone protein content variation (10.7-26.2%). Incorporating the bran with the highest versus lowest sub-aleurone protein content increased the loaf volume by 22.4% (concept was validated for commercial bran). 99% of loaf volume variation could be explained by sub-aleurone protein content variation. Conclusively, sub-aleurone protein content is the most important factor regarding bran functionality in bread-making. Therefore, bran selection based on (sub-aleurone) protein content could be a low-cost, low-effort opportunity for bran-enriched bread-making.
DOI: 10.48804/23mrlg
title: Replication Data for: The Many Shades of Impact Assessments - An analysis of data protection by design in the case law of national supervisory authorities

description: This dataset contains the raw materials that served as the basis for the case law review conducted in the context of the corresponding paper. More specifically, it contains the metadata of the 177 decisions analysed, their full text in both original and translated version, as well the output of the review process structured around the three components of data protection by design. The methodology, content and form of the case law review are detailed in the README.txt file, which is formatted in Markdown and can be visualised using any Markdown editor such as MarkText or StackEdit.
DOI: 10.48804/5x34jy
title: Replication Data for: Unravelling the bread-making functionality of gluten-rich sub-aleurone flour obtained by dry fractionation of wheat miller’s bran

description: The residual endosperm of wheat miller’s bran is rich in gluten proteins due to the presence of protein-rich sub-aleurone cells. Here, the goal was to gain insight in (i) the bread-making functionality of sub-aleurone gluten-enriched fractions obtained through dry fractionation of miller’s bran and (ii) the inherent bread-making functionality of sub-aleurone gluten. Therefore, two sub-aleurone gluten-enriched fractions (Sub-alF and Sub-alC), differing in particle size distribution and chemical composition, were prepared from miller’s bran using impact milling, sieving, and air classification. Substituting 22.5% of white flour with Sub-alF, Sub-alC, commercial gluten A (GluA) and B (GluB), all standardised to a protein content of 20.6%, led to an increase in specific loaf volume of 14.8%, 14.0%, 14.3%, and 21.8%, respectively. Despite their higher level of bran contamination and lower relative gluten content, Sub-alF and Sub-alC were equally functional as commercial gluten (GluA). Substituting 6% of white flour with gluten isolated via wet fractionation from Sub-alC and from the corresponding flour, increased the specific volume by 27.2% and 29.4%, respectively. Sub-aleurone and flour gluten were hence functionally comparable. In conclusion, the sub-aleurone’s high content of functional gluten enables the production of functional gluten-enriched ingredients from miller’s bran.
DOI: 10.48804/k6rdsg
title: Replication Data for: Better Alone Than in Bad Company: Addressing the risks of companion chatbots through data protection by design

description: This dataset contains the (i) the full text of the complaint filed before the Belgian data protection authority against Chai Research Corp., (ii) an English machine translation of that complaint, and (iii) all the evidence submitted along the complaint, ranging from E1 to E10.
DOI: 10.48804/rcjyfj
title: Replication Data for: An Efficient Structured Perceptron for NP-Hard Combinatorial Optimization Problems

description: Develop an efficient model of the Structured Perceptron (SP) to learn the objective function of a MOCOP. Evaluation of three techniques to apply the SP on NP-hard optimization problems: 1) using heuristic solving methods during the learning process, 2) solving well-chosen satisfaction variants of the problems, 3) caching solutions computed during the learning process and reusing them. Experiments confirm the validity and speed-ups of these techniques, enabling structured output learning on larger combinatorial problems than before.
DOI: 10.48804/vc1qqf
title: IOTA Phase 1b: validation of models to distinguish between a benign and malignant adnexal tumor before surgery

description: This 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.
DOI: 10.48804/xzhcpu
title: Replication Data for: "Second Order Hyperpolarizability of Cellulose Nanocrystals: an Experimental and Theoretical Investigation"

description: This dataset contains files needed for the processing of the Hyper Rayleigh scattering experiment and the CNC size distribution for the manuscript : "Second Order Hyperpolarizability of Cellulose Nanocrystals: an Experimental and Theoretical Investigation". The dataset includes the spectra of the Hyper Rayleigh Scattering. The AFM imaging is used for the size and distribution of the crystals. Both the HRS and AFM are used to determine the hyperpolarizability and the depolarization ratio outlined in the manuscript.
DOI: 10.48804/kt2p3z
title: Replication Data for: Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities

description: Decision-focused learning (DFL) is an emerging paradigm that integrates machine learning (ML) and constrained optimization to enhance decision quality by training ML models in an end-to-end system. Our paper presents a comprehensive review of DFL, providing an in-depth analysis of both gradient-based and gradient-free techniques used to combine ML and constrained optimization. It empirically evaluates the strengths and limitations of these techniques and includes an extensive empirical evaluation of eleven methods across seven problems. 
This paper has been accepted for publication in The Journal of Artificial Intelligence Research (JAIR). The datasets in this repository have been used to obtain the results reported in the paper. The datasets are provided to ensure reproducibility. To reproduce the result reported in the paper using these datasets refer to \url{https://github.com/PredOpt/predopt-benchmarks}.
DOI: 10.48804/p1zec9
title: Replication Data for: The Portrait of Elisabeth Braderic - Scientific reports and imaging

description: Between March and June 2024 several technical analyses were executed on the Portrait of Elisabeth Braderic (by Pieter Cristus, c. 1450). IPARC performed a macrophotograpy, an infrared reflectography and MA-XRF scans. Prof. Dr. P. Vandenabeele executed direct Raman spectroscopy on 7 selected points. The results of these investigations are described in an article submitted to Studies in Conservation.
DOI: 10.48804/3suhhr
title: Replication Data for: Perception-based Constraint Solving for Sudoku Images

description: We consider the problem of perception-based constraint solving, where part of the
problem specification is provided indirectly through an image provided by a user.
As a pedagogical example, we use the complete image of a Sudoku grid. While the
rules of the puzzle are known, the image must be interpreted by a neural network
to extract values in the grid
DOI: 10.48804/ntru1i
title: Climate change communication on the websites of Flemish political parties

description: The data in this repository offers a sample of online climate change communication by political parties in Flanders, the northern, Dutch-speaking part of Belgium. The dataset consists of the party positions ("standpunten" in Dutch) that the seven main political parties in Flanders posted on their websites, more specifically those that were indexed by the parties as related to the climate, climate change and/or the environment.
The seven parties included in this dataset are those that are represented, at the time of the data collection, in the Flemish parliament. These are: N-VA (New-Flemish Alliance), Vlaams Belang (Flemish Interest), CD&V (Christian Democratic & Flemish), Open VLD (Open Flemish Liberals and Democrats), Vooruit (Forward), Groen (Green), and PVDA (Labour Party of Belgium).
The choice to include only those data that were explicitly indicated by the political parties as pertaining to climate change and/or the environment was deliberate, as it allows for a targeted examination of how political parties communicate about climate-related and environmental issues and possible solutions. It also means that the topics covered are more expansive for some parties than for others. For instance, while the green party ‘Groen’ takes a comprehensive view of climate-related policies (which are presented as also including energy, mobility, food and agriculture, and sustainable economy), the regionalist party ‘N-VA’ has opted for a more diversified approach, with environmental and climate-related policies presented as a separate category from energy, mobility, agriculture, etc. Despite its limitations, this procedure ensured that the data of political climate change communication is, indeed, explicitly understood by the parties themselves as relating to climate change.
DOI: 10.48804/1xxxaq
title: Replication Data for: Characterization of a droplet microfluidic platform for the enrichment of live and functional clones using a genotype-based read-out

description: This data depository contains all the data used in the following publication:
Characterization of a droplet microfluidic platform for the enrichment of live and functional clones using a genotype-based read-out

The following data is provided:

- dPCR folder: contains .tiff images of the dPCR experiments to characterize the effect of the copy number on the sensitivity (Table 1 in the paper). The file name corresponds to the sample. Abbreviations: HC = High-copy number, LC = low-copy number, SC = single-copy number, EP = End-point, SP = starting point. The number of positive droplets can be derived from the FAM image, while the total number of droplets can be obtained from the VIC image. For the HC sample, we only have starting and end-point FAM images. 

- FACS folder: contains all FACS data. The 20221116_Flowjo_Analyzed_data pdf file contains the analyzed data in FlowJo which was used to determine the fraction of positive droplets. The raw FACS data files (.fsc) have been made available in the FASC_data_files folder. The FACS_sort_parameters folder contains a summary of the sort per sample and per run and was used to obtain how many target droplets were sorted per sample. 

- Imagestream folder. Contains the raw Imagestream data of the sample before and after enrichment. (Presort vs Postsort). Imagestream data can be opened and analyzed using FSC Express. 

- Data_tables: Excel file containing the calculations and raw data for generating the tables in the paper. 

- Data_supplementary_figures: Python file (Jupiter Notebook). Contains the data and code for generating the supplementary figures.
DOI: 10.48804/vfagoq
title: Replication Data for: A spatially-explicit sensitivity analysis of urban definitions: uncovering implicit assumptions in the Degree of Urbanisation

description: This repository contains the R code and data needed to replicate the analysis in our paper "A spatially-explicit sensitivity analysis of urban definitions: uncovering implicit assumptions in the &lt;i&gt;Degree of Urbanisation&lt;/i&gt;". All code is organized in computational notebooks, arranged sequentially in the &lt;code&gt;code&lt;/code&gt; folder. The analyses mainly rely on the open-source data products provided by the &lt;a href='https://ghsl.jrc.ec.europa.eu/'&gt;Global Human Settlement Layer&lt;/a&gt;. Other data sets needed to reproduce the analyses are included in the &lt;code&gt;data&lt;/code&gt; folder. The resulting grid classifications of the 1458 alternative realisations of the &lt;i&gt;Degree of Urbanisation&lt;/i&gt; are included in the &lt;code&gt;results/grid_classifications&lt;/code&gt; folder. The metadata (e.g. criterion settings) associated with each realisation is included in the &lt;code&gt;data/criterion_ID.csv&lt;/code&gt; file. The final sensitivity map and all grid classifications are also visualised on &lt;a href='https://platform-dou.snl.ees.kuleuven.be'&gt;this web-platform&lt;/a&gt;. For further details, please refer to the enclosed &lt;code&gt;README&lt;/code&gt; file and the original publication.
DOI: 10.48804/rvhl2d
title: Replication Data for: Multinuclear solid-state NMR investigation of structurally diverse low-dimensional hybrid metal halide perovskites

description: This 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.