cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4121/20484999.v1
title: Supplementary data for the paper 'Should steering settings be changed by the driver or by the vehicle itself?'

description: <strong>Objective. </strong>This paper aimed to investigate whether steering gain (SG) mode changes should be made by the driver or automatically. <strong>Introduction. </strong>Cars are increasingly computerized, and vehicle settings such as SG can now be altered during driving. However, it is unknown whether transitions in SG should be adaptable (i.e., triggered by driver input) or adaptive (i.e., triggered automatically). We examined this question for road segments expected to require different SG. <strong>Methods.</strong> Twenty-four participants drove under four conditions in a simulator: fixed low gain (FL), fixed high gain (FH), a machine-initiated steering system, which switched between the two SG levels at predetermined locations (MI), and a driver-initiated steering system, in which the SG could be changed by pressing a button on the steering wheel (DI). <strong>Results. </strong>Participants showed poorer lane-keeping and reported higher effort for FH compared to FL on straights, while the opposite held true on curved roads. On curved roads, the MI condition yielded better lane-keeping and lower subjective effort than the DI condition. However, a substantial portion of the drivers gave low preference rankings to the MI concept. <strong>Conclusion. </strong>Drivers prefer and benefit from a steering system with a variable rather than fixed gain. Furthermore, although automatic SG transitions reduce effort, some drivers reject this concept. <strong>Application. </strong>As the state of technology advances, MI transitions are becoming increasingly feasible, but whether drivers would want to delegate their decision-making authority to a machine remains a moot point.
DOI: 10.4121/20484999
title: Supplementary data for the paper 'Should steering settings be changed by the driver or by the vehicle itself?'

description: <strong>Objective. </strong>This paper aimed to investigate whether steering gain (SG) mode changes should be made by the driver or automatically. <strong>Introduction. </strong>Cars are increasingly computerized, and vehicle settings such as SG can now be altered during driving. However, it is unknown whether transitions in SG should be adaptable (i.e., triggered by driver input) or adaptive (i.e., triggered automatically). We examined this question for road segments expected to require different SG. <strong>Methods.</strong> Twenty-four participants drove under four conditions in a simulator: fixed low gain (FL), fixed high gain (FH), a machine-initiated steering system, which switched between the two SG levels at predetermined locations (MI), and a driver-initiated steering system, in which the SG could be changed by pressing a button on the steering wheel (DI). <strong>Results. </strong>Participants showed poorer lane-keeping and reported higher effort for FH compared to FL on straights, while the opposite held true on curved roads. On curved roads, the MI condition yielded better lane-keeping and lower subjective effort than the DI condition. However, a substantial portion of the drivers gave low preference rankings to the MI concept. <strong>Conclusion. </strong>Drivers prefer and benefit from a steering system with a variable rather than fixed gain. Furthermore, although automatic SG transitions reduce effort, some drivers reject this concept. <strong>Application. </strong>As the state of technology advances, MI transitions are becoming increasingly feasible, but whether drivers would want to delegate their decision-making authority to a machine remains a moot point.
DOI: 10.4121/20348148
title: Supplementary data for the paper 'Do sport modes cause behavioral adaptation?'

description: A key question in transportation research is whether drivers show behavioral adaptation, that is, slower or faster driving, when new technology is introduced into the vehicle. This study investigates behavioral adaptation in response to the sport mode, a technology that alters the vehicle’s auditory, throttle-mapping, power-steering, and chassis settings. Based on the literature, it can be hypothesized that the sport mode increases perceived sportiness and encourages faster driving. Oppositely, the sport mode may increase drivers’ perceived danger, homeostatically causing them to drive more slowly. These hypotheses were tested using an instrumented vehicle on a test track. Thirty-one drivers were asked to drive as they normally would with different sport mode settings: Baseline, Modified Throttle Mapping (MTM), Artificial Engine Sound enhancement (AESe), MTM and AESe combined (MTM-AESe), and MTM, AESe combined with four-wheel steering, increased damping, and decreased power steering (MTM-AESe-4WS). Post-trial questionnaires showed increased perceived sportiness but no differences in perceived danger for the three MTM conditions compared to Baseline. Furthermore, compared to Baseline, MTM led to higher vehicle accelerations and, with a smaller effect size, a higher time-percentage of driving above the 110 km/h speed limit, but not higher cornering speeds. The AESe condition did not significantly affect perceived sportiness, perceived danger, and driving speed compared to Baseline. These findings suggest that behavioral adaptation is a functional and opportunistic phenomenon rather than mediated by perceived sportiness or perceived danger.
DOI: 10.4121/19727287
title: Model code and simulations underlying publication "The combined impact of canopy stability and soil NOx exchange on ozone removal in a temperate deciduous forest"

description: This dataset contains model output from the Multi-Layer Canopy-CHemistry Exchange model (MLC-CHEM). These data contain simulations of canopy exchange of ozone and nitrogen oxides (NO<sub>x</sub>) and ozone production and removal tendencies. <br> These data are used in "The combined impact of canopy stability and soil NO<sub>x</sub> exchange on ozone removal in a temperate deciduous forest"
DOI: 10.4121/20004842.v1
title: Data underlying the publication: Beetroot and Spinach Seed Microbiomes Can Suppress Pythium ultimum Infection; Results from a Large-Scale Screening

description: Seed health is an indispensable prerequisite of food security. While the toolkit of plant protection products is currently limited, evidence suggests that the seed microbiome could protect seeds from pathogens. Thus, given their possible disease suppressive potential, we tested 11 different pathosystems to achieve the following proof-of-concept: seed microbiomes are beneficial for seed health through conferring disease suppression. This study focused on beetroot, onion, spinach, pepper, coriander, red fescue and perennial ryegrass seeds, with each crop being challenged with one or two from a total of six pathogens, namely <em>Pythium ultimum</em> (or <em>Pythium</em> sp.), <em>Setophoma terrestris</em>, <em>Fusarium</em> <em>oxysporum</em>, <em>Phytophthora</em> <em>capsici</em>, <em>Laetisaria</em> <em>fuciformis</em> and <em>Puccinia</em> sp. Each seed lot of each crop was tested with and without treatment with a disinfectant as a proxy for comparing intact seed microbiomes with seed microbiomes after partial elimination by disinfection. We found disease suppression in two pathosystems. Beetroot and spinach seed lots were able to suppress disease caused by <em>Pythium ultimum </em>when their microbiomes were intact but not after seed disinfection. We speculate that this relates to the microorganisms residing on and in the seed. Yet, seed microbiome disease suppression was not found in all pathosystems, highlighting the variation in seed morphology, plant cultivars, pathogens and seed disinfection treatments. A holistic understanding of the characteristics of seeds that harbour suppressive microbiomes as well as the pathogens that are sensitive to suppression, could lead to more targeted and informed seed processing and treatment and, consequently, to the sustainable management of seedling diseases.
DOI: 10.5523/bris.15946fz1h1f862m5gz2p5jo000
title: Refining a workshop for scientists on inference and scientific methodology

description: We created a workshop on inference and scientific methodology, which we ran twice with scientists at University of Bristol. We conducted two studies, using questionnaires before and after the workshops to learn (1) whether attendees find the workshop beneficial, and (2) how to improve the workshop.
DOI: 10.4121/20348148.v1
title: Supplementary data for the paper 'Do sport modes cause behavioral adaptation?'

description: A key question in transportation research is whether drivers show behavioral adaptation, that is, slower or faster driving, when new technology is introduced into the vehicle. This study investigates behavioral adaptation in response to the sport mode, a technology that alters the vehicle’s auditory, throttle-mapping, power-steering, and chassis settings. Based on the literature, it can be hypothesized that the sport mode increases perceived sportiness and encourages faster driving. Oppositely, the sport mode may increase drivers’ perceived danger, homeostatically causing them to drive more slowly. These hypotheses were tested using an instrumented vehicle on a test track. Thirty-one drivers were asked to drive as they normally would with different sport mode settings: Baseline, Modified Throttle Mapping (MTM), Artificial Engine Sound enhancement (AESe), MTM and AESe combined (MTM-AESe), and MTM, AESe combined with four-wheel steering, increased damping, and decreased power steering (MTM-AESe-4WS). Post-trial questionnaires showed increased perceived sportiness but no differences in perceived danger for the three MTM conditions compared to Baseline. Furthermore, compared to Baseline, MTM led to higher vehicle accelerations and, with a smaller effect size, a higher time-percentage of driving above the 110 km/h speed limit, but not higher cornering speeds. The AESe condition did not significantly affect perceived sportiness, perceived danger, and driving speed compared to Baseline. These findings suggest that behavioral adaptation is a functional and opportunistic phenomenon rather than mediated by perceived sportiness or perceived danger.
DOI: 10.4121/16566228.v1
title: Data underlying the master thesis: Effect of ambient temperature on fatigue delamination growth in composite laminates

description: Quasi-static and fatigue delamination data ofunidirectional carbon fibre polymer composite materials tested on double cantilever beam at temperatures between -40 and 80 degrees Celsius<br>
DOI: 10.4121/16566228
title: Data underlying the master thesis: Effect of ambient temperature on fatigue delamination growth in composite laminates

description: Quasi-static and fatigue delamination data ofunidirectional carbon fibre polymer composite materials tested on double cantilever beam at temperatures between -40 and 80 degrees Celsius<br>
DOI: 10.4121/19552078.v1
title: Data underlying the master thesis: Investigating Planar Delamination Behavior in Carbon Fiber Reinforced Polymer Panels

description: This experimental test data comprises quasi-static and fatigue planar delamination growth results obtained through transverse loading of squared clamped composite plates containing a central delamination. Growth is measured through DIC and thermography. Data contains raw and analysed data.
DOI: 10.4121/19552078
title: Data underlying the master thesis: Investigating Planar Delamination Behavior in Carbon Fiber Reinforced Polymer Panels

description: This experimental test data comprises quasi-static and fatigue planar delamination growth results obtained through transverse loading of squared clamped composite plates containing a central delamination. Growth is measured through DIC and thermography. Data contains raw and analysed data.
DOI: 10.4121/20550348.v1
title: Boujnord real data set for the time-dependent two- echelon truck and drone routing problem

description: In this data set, we presented a real instance for the time-dependent two-echelon truck and drone routing problem. This data set is for a well-known company in Iran, and the data is for Boujnord city. for the maximum size, we have chosen 100 locations of customers and 30 locations for parking stations and from this large-sized instance, we made 41 instances. this data is prepared for the time-dependent two-echelon truck and drone routing problem, where the truck stops at parking stations and the drone delivers parcels to the customers. A readme file in the data set describes the model elaborately.
DOI: 10.4121/20550348.v2
title: Boujnord real data set for the time-dependent two- echelon truck and drone routing problem

description: In this data set, we presented a real instance for the time-dependent two-echelon truck and drone routing problem. This data set is for a well-known company in Iran, and the data is for Boujnord city. for the maximum size, we have chosen 100 locations of customers and 30 locations for parking stations and from this large-sized instance, we made 41 instances. this data is prepared for the time-dependent two-echelon truck and drone routing problem, where the truck stops at parking stations and the drone delivers parcels to the customers. A readme file in the data set describes the model elaborately.
DOI: 10.4121/20550348
title: Boujnord real data set for the time-dependent two- echelon truck and drone routing problem

description: In this data set, we presented a real instance for the time-dependent two-echelon truck and drone routing problem. This data set is for a well-known company in Iran, and the data is for Boujnord city. for the maximum size, we have chosen 100 locations of customers and 30 locations for parking stations and from this large-sized instance, we made 41 instances. this data is prepared for the time-dependent two-echelon truck and drone routing problem, where the truck stops at parking stations and the drone delivers parcels to the customers. A readme file in the data set describes the model elaborately.
DOI: 10.4121/20278590.v1
title: Free-Vortex Wake with Discrete Adjoint - Dataset

description: Optimised control signals for wind farm flow controlin a two-turbine configuration - dynamic induction and yaw under time-varying wind direction. Additionally, parameter sweep data for motivating choice of model parameters. Data supporting the paper "Adjoint Optimisation for Wind Farm Flow Control with a Free-Vortex Wake Model", submitted to Renewable Energy.
DOI: 10.4121/20278590
title: Free-Vortex Wake with Discrete Adjoint - Dataset

description: Optimised control signals for wind farm flow controlin a two-turbine configuration - dynamic induction and yaw under time-varying wind direction. Additionally, parameter sweep data for motivating choice of model parameters. Data supporting the paper "Adjoint Optimisation for Wind Farm Flow Control with a Free-Vortex Wake Model", submitted to Renewable Energy.
DOI: 10.4121/18319907.v1
title: Raw data of Metagenomic analysis of Tongxie Yaofang in treating rat model of ulcerative colitis with the "liver depression and spleen deficiency" syndrome

description: All rats were randomly divided into three groups: Control, Dinitrobenzene sulfonic acid (DNBS)-colitis, and DNBS+TXYF (n = 16). The physiological indexes of rats were detected. Compared with Control groups, a loss body weight, significant increased DAI score and CMDI score (P value &lt; 0.01), as well as increased TNF-α level were observed in rats from the DNBS-colitis group, indicating that the UC model was successfully established. Meanwhile, TXYF treatment significantly decreased the DAI score, CMID score (P value &lt; 0.01), and TNF-α level (P value &lt; 0.05).
DOI: 10.4121/18319907.v2
title: Raw data of Metagenomic analysis of Tongxie Yaofang in treating rat model of ulcerative colitis with the "liver depression and spleen deficiency" syndrome

description: All rats were randomly divided into three groups: Control, Dinitrobenzene sulfonic acid (DNBS)-colitis, and DNBS+TXYF (n = 16). The physiological indexes of rats were detected. Compared with Control groups, a loss body weight, significant increased DAI score and CMDI score (P value &lt; 0.01), as well as increased TNF-α level were observed in rats from the DNBS-colitis group, indicating that the UC model was successfully established. Meanwhile, TXYF treatment significantly decreased the DAI score, CMID score (P value &lt; 0.01), and TNF-α level (P value &lt; 0.05).
DOI: 10.4121/18319907.v3
title: Raw data of Metagenomic analysis of Tongxie Yaofang in treating rat model of ulcerative colitis with the "liver depression and spleen deficiency" syndrome

description: All rats were randomly divided into three groups: Control, Dinitrobenzene sulfonic acid (DNBS)-colitis, and DNBS+TXYF (n = 16). The physiological indexes of rats were detected. Compared with Control groups, a loss body weight, significant increased DAI score and CMDI score (P value &lt; 0.01), as well as increased TNF-α level were observed in rats from the DNBS-colitis group, indicating that the UC model was successfully established. Meanwhile, TXYF treatment significantly decreased the DAI score, CMID score (P value &lt; 0.01), and TNF-α level (P value &lt; 0.05).
DOI: 10.4121/18319907.v4
title: Raw data of Metagenomic analysis of Tongxie Yaofang in treating rat model of ulcerative colitis with the "liver depression and spleen deficiency" syndrome

description: All rats were randomly divided into three groups: Control, Dinitrobenzene sulfonic acid (DNBS)-colitis, and DNBS+TXYF (n = 8). The physiological indexes of rats were detected. Compared with Control groups, a loss body weight, significant increased DAI score and CMDI score (P value &lt; 0.01) were observed in rats from the DNBS-colitis group, indicating that the UC model was successfully established. Meanwhile, TXYF treatment significantly decreased the DAI score and CMID score (P value &lt; 0.01).
DOI: 10.4121/18319907.v5
title: Raw data of Metagenomic analysis of Tongxie Yaofang in treating rat model of ulcerative colitis with the "liver depression and spleen deficiency" syndrome

description: All rats were randomly divided into three groups: Control, Dinitrobenzene sulfonic acid (DNBS)-colitis, and DNBS+TXYF (n = 8). The physiological indexes of rats were detected. Compared with Control groups, a loss body weight, significant increased DAI score and CMDI score (P value &lt; 0.01) were observed in rats from the DNBS-colitis group, indicating that the UC model was successfully established. Meanwhile, TXYF treatment significantly decreased the DAI score, CMID score, and TNF-α level (P value &lt; 0.05).
DOI: 10.4121/18319907
title: Raw data of Metagenomic analysis of Tongxie Yaofang in treating rat model of ulcerative colitis with the "liver depression and spleen deficiency" syndrome

description: All rats were randomly divided into three groups: Control, Dinitrobenzene sulfonic acid (DNBS)-colitis, and DNBS+TXYF (n = 8). The physiological indexes of rats were detected. Compared with Control groups, a loss body weight, significant increased DAI score and CMDI score (P value &lt; 0.01) were observed in rats from the DNBS-colitis group, indicating that the UC model was successfully established. Meanwhile, TXYF treatment significantly decreased the DAI score, CMID score, and TNF-α level (P value &lt; 0.05).
DOI: 10.4121/19665990
title: Data underlying paper: A multiclass classification model for tooth removal procedures

description: This dataset can be used to reproduce results from the ‘ <strong>A multiclass classification model for tooth removal procedures</strong> ’ paper as written by ‘de Graaf’ et al.
DOI: 10.4121/19665990.v1
title: Data underlying paper: A multiclass classification model for tooth removal procedures

description: This dataset can be used to reproduce results from the ‘ <strong>A multiclass classification model for tooth removal procedures</strong> ’ paper as written by ‘de Graaf’ et al.
DOI: 10.4121/19704391
title: Dataset for Switching Between Hydrogenation and Olefin Transposition Catalysis via Silencing NH Cooperativity in Mn(I) pincer complexes

description: This dataset contains: - raw NMR data for new compounds used in the publication - comutational data for calculations presented in the published work - raw analytical data for catalysis run characterization - crysallographic data for new complexes
DOI: 10.4121/19704391.v1
title: Dataset for Switching Between Hydrogenation and Olefin Transposition Catalysis via Silencing NH Cooperativity in Mn(I) pincer complexes

description: This dataset contains: - raw NMR data for new compounds used in the publication - comutational data for calculations presented in the published work - raw analytical data for catalysis run characterization - crysallographic data for new complexes
DOI: 10.4121/20488854.v1
title: Supporting Data for 'Entangling remote qubits using the single-photon protocol: an in-depth theoretical and experimental study'

description: Data and software supporting the manuscript ‘<em>Entangling remote qubits using the single-photon protocol: an in-depth theoretical and experimental study’</em>. The files include: All underlying processed data, saved into hdf5 files using xarray Jupyter notebooks to replot the figures and create the fits of the data when applicable. Pipfile containing all the necessary python packages Numerical model to simulate entangled states. (Python) Numerical model to simulate double excitation probability (MATLAB)
DOI: 10.4121/20348382
title: Diurnal UAV-based sun-induced chlorophyll fluorescence over potato and sugar beet fields

description: UAV-based sun-induced chlorophyll fluorescence was acquired over potato and sugar beet fields during clear sky conditions on August 2. 2018. Four flights following a diurnal cycle were carried out at 9:45, 11:38, 14:15, and 16:28. A Parrot Sequoia + collected multispectral measurements over the two crop fields around 11:00 on the same day.
DOI: 10.4121/20488854
title: Supporting Data for 'Entangling remote qubits using the single-photon protocol: an in-depth theoretical and experimental study'

description: Data and software supporting the manuscript ‘<em>Entangling remote qubits using the single-photon protocol: an in-depth theoretical and experimental study’</em>. The files include: All underlying processed data, saved into hdf5 files using xarray Jupyter notebooks to replot the figures and create the fits of the data when applicable. Pipfile containing all the necessary python packages Numerical model to simulate entangled states. (Python) Numerical model to simulate double excitation probability (MATLAB)
DOI: 10.4121/20509902.v1
title: SAR wave simulation data with 10m/s wind speed

description: This data is a two-dimensional sea surface SAR simulation, obtained through wave spectrum simulation, 2D sea surface simulation, backscatter simulation and SAR imaging.The Data type is simulation data,obtained at a wind speed of 10m/s.
DOI: 10.4121/20509902
title: SAR wave simulation data with 10m/s wind speed

description: This data is a two-dimensional sea surface SAR simulation, obtained through wave spectrum simulation, 2D sea surface simulation, backscatter simulation and SAR imaging.The Data type is simulation data,obtained at a wind speed of 10m/s.
DOI: 10.4121/20502081.v1
title: Collected data for thesis "Using explanations to improve subjective experience of control in situations of delayed control effects"

description: Here are all the collected data during the thesis, including questionnaire answers and unstructured questions answers. <br>
DOI: 10.4121/19727287.v1
title: Model code and simulations underlying publication "The combined impact of canopy stability and soil NOx exchange on ozone removal in a temperate deciduous forest"

description: This dataset contains model output from the Multi-Layer Canopy-CHemistry Exchange model (MLC-CHEM). These data contain simulations of canopy exchange of ozone and nitrogen oxides (NO<sub>x</sub>) and ozone production and removal tendencies. <br> These data are used in "The combined impact of canopy stability and soil NO<sub>x</sub> exchange on ozone removal in a temperate deciduous forest"