cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17026/dans-zr6-u5q2
title: Source code for the executable semantics presented in Master Thesis "Introducing Keyword-Driven Testing to System Level Testing Paradigms"

description: DESCRIPTIONThe code presented in this repository is a formal representation of the semantics of a system level test run in a keyword-driven testing framework, Robot Framework. The semantics are expressed in Haskell and can be executed using GHC(i).CONTENTS- RobotSemantics: The semantic definitions for a test run in Robot Framework- TypedArgumentsExtension: The semantics of an extension written for Robot Framework- Examples: Three examples, demonstrating the relation between the semantic definitions and actual Robot Framework test cases and keyword libraries.SHORT SUMMARYSystem level acceptance tests should cover a large amount of traces in a system under test, for which many testing paradigms exist. However, system level acceptance tests are required to be understood by many stakeholders, which is not always taken into consideration when a system level testing paradigm is designed. Combining two or more paradigms might yield a system level testing approach which can get the best of both worlds. To see whether this is the case for keyword-driven testing, we consider a triad of system level testing paradigms: Behavior-Driven Testing, Model-Based Testing and Test Data Generation. In the thesis we introduce a formal semantic definition of a keyword-driven testing framework, Robot Framework, to be able to reason about what the considered paradigms would entail for a case study at Canon Production Printing. For each of the three considered paradigms, a conclusion is drawn as to whether the paradigm could benefit from a combination with keyword-driven testing and what the relation between the paradigm and keyword-driven testing would be in such a combination.The executable semantics presented in this repository ought to provide an unambiguous starting point for reasoning about the keyword-driven testing paradigm. Moreover, the executable semantics are used to express semantic implications of additional concepts and extensions for keyword-driven testing with Robot Framework.
DOI: 10.17026/dans-25y-pm4q
title: Validating the Predictive Power of Statistical Models in Retrieving Leaf Dry Matter Content of a Coastal Wetland from a Sentinel-2 Image

description: we assessed the performance of partial least squares regression (PLSR) plus 11 widely used vegetation indices (VIs), calculated based on differentcombinations of Sentinel-2 bands, in predicting LDMC in a coastal wetland. The accuracy of the selected methods was validated using LDMC, destructively measured in randomly distributed sample plots at the study site in Schiermonnikoog, the Netherlands.
DOI: 10.6084/m9.figshare.19691946
title: R package: TendonMCMCSampling from Bayesian inference on a microstructural, hyperelastic model of tendon deformation

description: A Zip file containing an R package that allows RWM MCMC to be performed on experimental tendon stress-strain datasets using functions derived in both R and RCpp/C++
DOI: 10.6084/m9.figshare.19691952.v1
title: Mathematica files from Bayesian inference on a microstructural, hyperelastic model of tendon deformation

description: A Zip file containing a set of Mathematica files used to fit four nonlinear elastic models to experimental tendon stress-strain datasets
DOI: 10.6084/m9.figshare.19691946.v2
title: R package: TendonMCMCSampling from Bayesian inference on a microstructural, hyperelastic model of tendon deformation

description: A Zip file containing an R package that allows RWM MCMC to be performed on experimental tendon stress-strain datasets using functions derived in both R and RCpp/C++
DOI: 10.6084/m9.figshare.19691952
title: Mathematica files from Bayesian inference on a microstructural, hyperelastic model of tendon deformation

description: A Zip file containing a set of Mathematica files used to fit four nonlinear elastic models to experimental tendon stress-strain datasets
DOI: 10.6084/m9.figshare.19691946.v1
title: R package: TendonMCMCSampling from Bayesian inference on a microstructural, hyperelastic model of tendon deformation

description: A Zip file containing an R package that allows RWM MCMC to be performed on experimental tendon stress-strain datasets using functions derived in both R and RCpp/C++
DOI: 10.17026/dans-zzk-xkez
title: Data to "Risk-management tool for environmental prioritization of pharmaceuticals based on emissions from hospitals"

description: Datasets to peer-reviewed article.
DOI: 10.17026/dans-xfj-37rw
title: Winegrowers' decision-making on inter-row management and pesticide use in five European case studies

description: The dataset consists of a codebook and survey outcomes of five European viticultural regions: Palatinate in Germany, Leithaberg in Austria, Tarnave in Romania, Bordeaux in France, and Montilla-Moriles in Spain. Winegrowers were asked about their management characteristics, attitudes and beliefs and reported behaviour related to inter-row management and pesticide use.
DOI: 10.17026/dans-xsb-qyav
title: TOP25Raster, digitaal topografisch bestand - versie 2009

description: TOP25raster geeft het kaartbeeld van de topografische kaartserie 1:25 000.Door een geautomatiseerd proces vanuit het geografisch basisbestand 1:10 000 resulteert dit in een product met de volgende kenmerken:• Een consistente kleurstelling voor het gehele land• Een directe relatie met het geografisch basisbestand 1:10 000Het TOP25raster wordt in een cyclus van twee jaar geactualiseerd.Voor analyses of applicatie-ontwikkeling in GIS, CAD en Desktop Mapping waarbij het niet nodig is om wijzigingen in het kaartbeeld aan te brengen, maar waarbij de kaart als ondergrond en referentie functioneert, zijn rasterbestanden een goed alternatief. De TOPraster-producten bieden hiervoor de ideale oplossing. Deze bestanden worden softwarematig afgeleid uit de vectorbestanden.DANS en het Kadaster werken samen met betrekking tot het duurzaam archiveren en beschikbaar stellen van topografische en kadastrale kaarten. Iedereen mag deze data gebruiken.Het betreft de volgende topografische bestanden: TOP50Vector, TOP250Raster, TOP50Raster, TOP25Raster, de Kadastrale Kaart, TOP10NL, TOP50Vector, TOP50NL, en TOP10Vector.Zie ook het overzicht van de Kadasterbestanden die via DANS beschikbaar zijn.De meest actuele versies van de Kadasterbestanden kunnen direct gedownload worden via de website van Publieke Dienstverlening op de Kaart – PDOK.In het informatieblad vindt u meer informatie over toegang tot de TOP-kaart.
DOI: 10.17026/dans-zqr-fs4h
title: TOP10NL, digitaal topografisch bestand - versie 2009

description: TOP10NL is een digitaal topografisch bestand, bruikbaar op een schaalniveau tussen 1:5.000 en 1:25.000.DANS en het Kadaster werken samen met betrekking tot het duurzaam archiveren en beschikbaar stellen van topografische en kadastrale kaarten. Iedereen mag deze data gebruiken.Het betreft de volgende topografische bestanden: TOP50Vector, TOP250Raster, TOP50Raster, TOP25Raster, de Kadastrale Kaart, TOP10NL, TOP50Vector, TOP50NL, en TOP10Vector.Zie ook het overzicht van de Kadasterbestanden die via DANS beschikbaar zijn.De meest actuele versies van de Kadasterbestanden kunnen direct gedownload worden via de website van Publieke Dienstverlening op de Kaart – PDOK.In het informatieblad vindt u meer informatie over toegang tot de TOP-kaart.
DOI: 10.17026/dans-xye-2ht7
title: Collaborative Geo-Visual Analytics - web application prototype and statistical models

description: This project acknowledges that due to the ever increasing availability of geo-data and the complexity of analytical problems, the need to enable collaborative work among analysts from diverse backgrounds (e.g., domain experts, data analysts, scientist, and laypersons) is becoming more pressing and prominent. For this reason, this project aimed to address the long-standing challenge of supporting collaborative analysis in Geo-Visual Analytics (GVA) systems. This repository contains the code of a collaborative GVA prototype, and the data and code of two statistical models for the spatiotemporal dynamics of the Olive Fruit Fly in an area of interest located in the center of Andalusia, Spain. The prototype was used to experiment with collaborative analysis of the Olive Fruit Fly monitoring data and the models' outputs.
DOI: 10.17026/dans-za6-m8t7
title: Agricultural Field Boundary Data Set in The Netherlands for Automatic Delineation using Sentinel-2 Images

description: The data set contains Sentinel-2 image tiles and corresponding reference maps derived from PDOK for agricultural field boundaries. Predictions using three different deep learning models are included.
DOI: 10.17026/dans-289-3jxr
title: Overcoming TRAIL-resistance by sensitizing prostate cancer 3D spheroids with taxanes

description: Data used to generate figures of the paper “Overcoming TRAIL-resistance by sensitizing prostate cancer 3D spheroids with taxanes” Grayson KA, Jyotsana N, Ortiz-Otero N, King MR. PLOS One. 2021.In this study, we demonstrate that the taxanes, docetaxel and cabazitaxel, sensitizes prostate cancer cells in 2D and 3D cell culture environments to TRAIL.
DOI: 10.17026/dans-xmr-tnx5
title: The Diamond League athletic series: does the air quality sparkle?

description: Urban air pollution can have negative short- and long-term impacts on health, including cardiovascular, neurological, immune system and developmental damage. The irritant qualities of pollutants such as ozone (O3), nitrogen dioxide (NO2) and particulate matter (PM) can cause respiratory and cardiovascular distress, which can be heightened during physical activity and particularly so for those with respiratory conditions such as asthma. Previously, research has only examined marathon run outcomes or running under laboratory settings. This study focuses on elite 5-km athletes performing in international events at nine locations. Local meteorological and air quality data are used in conjunction with race performance metrics from the Diamond League Athletics series to determine the extent to which elite competitors are influenced during maximal sustained efforts in real-world conditions. The findings from this study suggest that local meteorological variables (temperature, wind speed and relative humidity) and air quality (ozone and particulate matter) have an impact on athletic performance. Variation between finishing times at different race locations can also be explained by the local meteorology and air quality conditions seen during races.
DOI: 10.17026/dans-xu4-aqqh
title: Evaluation of the WRF Model to Simulate a High-Intensity Rainfall Event over Kampala, Uganda

description: This paper aimed at evaluating the high-intensity rainfall data produced using the numerical weather prediction model, the WRF model, to be used for localized flood modelling in the data-scarce area. The performance of the model is evaluated by comparing different parametrizarion schemes as the combinations of microphysics, cumulus and PBL for sensitivity analysis as well as model simulation with and without considering the cumulus parametrization in the innermost domain of the model. The nature of this project's data is primarily numerical weather prediction model output with netcdf format. For the purpose of spatial model result evaluation, the open source daily satellite rainfall product called CHIRPS was used. Grid-wise model evaluation was used the observed rainfall data collected from a single gauging station in the study area. In the result, the best performing combinations out of the 24 different combinations were selected through TOPSIS statistical analysis For this particular event, the consideration of cumulus parametrization in the innermost domain of the model has also found to be less effect on model results.
DOI: 10.17026/dans-z8q-vcgd
title: Datasets of all analyses performed "The effect of personal relative deprivation on food choice: an experimental approach"

description: This dataset contains all datafiles of the studies included in the manuscript The effect of personal relative deprivation on food choice: an experimental approach.
DOI: 10.17026/dans-zpa-c9fr
title: Factors Influencing the Usage of E-Wallet Among Students

description: The file consists of data from respondents.
DOI: 10.17026/dans-z3u-j7c8
title: E-Wallet: A Study on Cashless Transactions Among University Students

description: E-wallet is an application that enable users to download by using a mobile device. It is a new trend for consumers to use e-wallet application to replace the traditional payment method. With ewallet, a user does not need to bring cash or credit card along with them. It makes users to purchase their needs and wants in a more convenient way. Due to the advancement of technology, there are a lot of ewallet platforms that exist in the market such as Touch n Go, Boost and Grabpay. Consequently, this research aims to study the factors that affect the university students’ intention to use e-wallet. The Technology Acceptance Model (TAM) serves as the theoretical underpinning for this research A total of 140 people from a Malaysian private institution took part in this study. Convenience sampling was used to pick samples, and respondents completed the questionnaire using a Google form and a paper and pencil approach. The questionnaire was created using a nominal scale and a five-point Likert scale. Descriptive analysis, reliability analysis, and multiple regression analysis were utilised to analyse the data in this study. Students, supervisors, academics, researchers, learning institutions, commercial organisations, and the government will all benefit immensely from the data and information gathered in this study because we will be able to examine and understand the factors that influence students' decision to use an E-Wallet for their daily financial operations. This study, however, has certain limitations in that it does not reflect the complete student population in Malaysian tertiary education and only examines four variables: perceived utility, perceived ease of use, perceived danger, and trust. Future study could focus on other impacting elements such as trust, risk, complexity, pervasive technology use, tech-savvy future generations, and so on.
DOI: 10.17026/dans-z3h-swe6
title: Novel approach to integrate daily satellite rainfall with in-situ rainfall, Upper Tekeze Basin, Ethiopia

description: The daily rainfall is the most important and demanded input of water resources studies, challenged by typically low density and/or poor quality of in-situ observations. However, the satellite earth observation, through freely available web-based products, can provide complementary rainfall data. Such data is however, typically affected by substantial error, particularly at daily temporal resolution. Therefore, effective methods and protocols of rainfall downscaling, validation, and bias-correction are needed. The aims of this study were to: i) validate two downscaled satellite-derived daily rainfall products, CHIRPS and MPEG, against in-situ observations; ii) merge the downscaled products with in-situ observations to improve their accuracy and evaluate them to select better performing one. This study was conducted at topographically complex, Upper Tekeze Basin (UTB), separately for the wet and dry seasons, within 1 January 2015 – 31 December 2018. Validation of the products, downscaled by nearest-neighbor (NN) and bilinear (BL) methods, was carried out using descriptive statistics, categorical statistics and bias decomposition methods, introducing novel protocol with new bias indicators for each of the evaluation methods. The validation showed large biases of CHIRPS and of MPEG, larger for CHIRPS than for MPEG, larger in dry than in wet season and slightly larger for NN than for BL. To correct biases of the downscaled CHIRPS and MPEG, each was merged with the in-situ observed rainfall applying Geographically Weighted Regression (GWR) algorithm and using rainfall dependence on altitude as explanatory variable. The GWR-merging method substantially improved the accuracy of the MPEG and CHIRPS, with slightly better final accuracy of MPEG than of CHIRPS, better in wet than in dry season. This study confirmed that GWR-merged method could substantially reduce daily bias of satellite rainfall products, even in topographically complex areas, such as the UTB. Further improvement of the method application, can be achieved by densifying rain-gauge network and eventually by adding accuracy-effective explanatory variable(s).
DOI: 10.17026/dans-z5r-mu36
title: Individual responses from the Dubowitz Neurological Examination and Demographic Questionnaire

description: Individual responses from the Dubowitz Neurological Examination and Demographic Questionnaire
DOI: 10.17026/dans-zrn-2wv3
title: Source code for the interpreted mTask language

description: Source code accompanying the paper:M. Lubbers, P. Koopman, and R. Plasmeijer, ‘Interpreting Task Oriented Programs on Tiny Computers’, in Proceedings of the 31st Symposium on Implementation and Application of Functional Languages, New York, NY, USA, 2019. doi: 10.1145/3412932.3412936.This is a snapshot of the mTask git repository:https://gitlab.science.ru.nl/mlubbers/mTaskAbstract:Small Microcontroller Units (MCUs) drive the omnipresent Internet of Things (IoT). These devices are small, cheap, and energy efficient. However, they are not very powerful and lack an Operating System. Hence it is difficult to apply high level abstractions and write software that stays close to the design.Task Oriented Programming (TOP) is a paradigm for creating multi-user collaborative systems. A program consists of tasks—descriptions of what needs to be done. The tasks represent the actual work and a task value is observable during execution. Furthermore, tasks can be combined and transformed using combinators.mTask is an embedded Domain Specific Language (eDSL) to program MCUs following the TOP paradigm. Previous work has described the mTask language, a static C code generator, and how to integrate mTask with TOP servers. This paper shows that for dynamic IOT applications, tasks must be sent at runtime to the devices for interpretation. It describes in detail how to compile specialized IOT TOP tasks to bytecode and how to interpret them on devices with very little memory. These additions allow the creation of complete, dynamic IOT applications arising from a single source using a mix of iTasks and mTask tasks. Details such as serialization and communication are captured in simple abstractions.Contents:- Zip file containing a snapshot of the CVS repository of mTask.* README.md: contains information about mTask* DEVICES.md: contains device specific installation notes* INSTALL.md: contains installation instructions* rts/: contains the mTask run-time-system C source code* library/: contains the mTask library Clean source code* programs/: contains the mTask examples* tests/: contains some tests for library functionality* tools/: contains auxiliary programs for generating symbols and class constraints* dependencies/: library dependencies for the mTask library- README.md: contains information about mTask and installation instructions
DOI: 10.17026/dans-xyw-9e4r
title: Group identity and betrayal: decomposing trust

description: Betrayal aversion is an important factor in the decision to trust. Trust in members of one’s own social group (ingroup members) is often higher than that in members of other groups (outgroup members). In this paper, I study (i) how betrayal aversion contributes to in-/outgroup discrimination in trust and (ii) how this contribution evolves as social groups solidify.I run two very similar laboratory experiments, first shortly after individuals have been randomly assigned to social groups (outside the laboratory), and seven months later. I find a null result: there is no intergroup discrimination in betrayal aversion, at neither point in time. In the first experiment, betrayal aversion is positive, and does not differ towards in- versus outgroup members. In the second experiment, I find no betrayal aversion. At this time, a subsample of participants trusts ingroup members more, but only in the first of two trusting decisions they make. Factors other than betrayal aversion—such as beliefs about trustworthiness and outcome-based social preferences—seem to explain this ingroup bias in trust.I suggest a couple of potential explanations for the lack of betrayal aversion in the second experiment.
DOI: 10.17026/dans-zzs-me4k
title: E-health in southwestern China

description: This data is attached to a profile of patients’ and clinical professionals’ perceptions, acceptance, and utilization of e-health in a deprived region in southwestern China.
DOI: 10.17026/dans-zz9-q4a7
title: Yu and Ma 202207

description: The United Nations declareds 2021–2030 the ‘Decade of Healthy Ageing ’. Both individuals and society suffer from increasing rates of Alzheimer’s disease and other types of dementia (ADs). In 2019, these diseases contributed to a loss of 33.1 million years of healthy life globally. However, existing research has not fully analyzed the relationship among socioeconomic data and ADs. This study was designed to explore the relationship between Alzheimer’s disease rates and socioeconomic conditions in 120 countries. We used mixed effect models to investigate the relationship between the rates of ADs and socioeconomic data. The data was obtained from global databases, including from The Global Burden of Disease and World Bank . The socioeconomic data included information onf gender inequality, wealth inequality, and countries’ overall wealth. This study is among the first studies to put forward statistical evidence of a significant association between AD and other dementias among the elderly and socioeconomic inequality. These findings could help to inform the policies to be designed to improve the quality of interventions for ADs.