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Data sets for "Transition from a phosphate to niobate network structure in vitreous Nb2O5-NaPO3"
No full textData sets used to prepare Figures 1-6, 8-13 and S1-S4 in the Journal of Chemical Physics article entitled "Transition from a phosphate to niobate network structure in vitreous Nb2O5-NaPO3." The data sets describe the structure of the model crystalline compounds NbOPO4 and NaNbO3 and the structure of glasses in the Nb2O5-NaPO3 pseudo-binary system as measured using neutron and high-energy x-ray diffraction. They also give the predictions of an analytical model for the glass structure and a comparison of these predictions with the results obtained from nuclear magnetic resonance (NMR) spectroscopy and x-ray photoelectron spectroscopy (XPS).The data sets were collected using the methods described in the published paper.The data sets were analysed using the methods described in the published paper.The figures were prepared using QtGrace (https://sourceforge.net/projects/qtgrace/). The data set corresponding to a plotted curve within an QtGrace file can be identified by clicking on that curve.The files are labelled according to the corresponding figure numbers. The units for each axis are identified on the plots
Dataset for "Investigating the Effectiveness of Digital Cognitive Training at Improving Mental Health and Social Engagement in an ‘at Risk’ Population"
No full textA cleaned dataset for the above study, including total scores for questionnaires and behavioural tasks, pre- and post cognitive training.This was a three-arm, randomised controlled trial with questionnaires and behavioural tasks completed pre- and post-intervention.Screening data was linked with baseline and post-training data in R with those who didn't meet the inclusion criteria excluded.R studio
Zoti's Social Toolkit
Full text linkZoti's Social Toolkit is a toolkit for measuring emotion inference skills and conflict resolution styles. It has been designed for use with primary school children. Zoti's Social Toolkit has been purposefully designed to be accessible for people who have communication difficulties, such as Developmental Language Disorder.
This set of stimuli includes two tasks: An emotion inference task, and a conflict resolution task. The protocols for the two tasks are made available. Also available are the animation files, which are embedded in the two tasks. Researchers may wish to embed the animations into their own software for experimental purposes.
The stimuli for Zoti's Social Toolkit has been piloted in multiple studies. During the piloting process, some of the animation files were removed from the final toolkit since they were not deemed valid for the author's purposes. These additional animation files are made available here. Researchers may wish to use these additional animations for their own experimental purposes.
An online version of Zoti’s Social Toolkit has been developed and is available for use here. Researchers may wish to download this version of the toolkit for use with PsychoPy or Pavlovia.org. Researchers are welcome to adapt this version of the toolkit for their own purposes. Full instructions for using this version of the task, including restrictions for its use, are made available here.The animations made for Zoti's Social Toolkit were created by the first author. Each animation frame was drawn with a Wacom CTL4100 Intuos Graphis Drawing Tablet using Corel Painter Essentials 6. The first author recorded their own voice using a recording device. The software iMovie 10.1 was used to combine the frames and audio recordings to create each animation. Zoti's Social Toolkit encompasses a task to measure emotion inference skills, and another task to measure conflict resolution styles. The two tasks can be presented using Microsoft PowerPoint slides, or the open source software package PsychoPy, and its sister site Pavlovia.org, where the animation files have been embedded. Headphones are needed for these tasks. Protocols for both tasks are available
Datasets for "The voices of home educated adolescents: a participatory research study exploring their home education experiences" PhD project
Full text linkThis dataset relates to the PhD study, "The voices of home educated adolescents: a participatory research study exploring their home education experiences". The study is a participatory research project with young people aged 13–17 who are home educated. They used vlogs, blogs, or visual boards to collect data on their experiences of being home educated, with a particular focus on their perceptions of their educational outcomes and social development.
The dataset includes resources created by participants, including a vlog, three blogs and three visual boards.
The vlog is an insight into how playing video games is an opportunity of learning for the participant: it demonstrates his interest in historical events and weaponry. Furthermore, the research project and creating the vlog itself was a new experience for him and was seen as a learning opportunity and became integrated into his home education experience. To align with the research methodology and remain socially and culturally appropriate, the participant used this method of data collection as an insight into his lived experience as home educated. Home educated young people have the autonomy and flexibility to learn through various mediums and learning tools that interest and relate to them. Therefore this vlog demonstrates that doing research with children can include various data collection methods that relate to the child's lived experience.
The visual boards are representations of participants' experiences being home educated and their perceptions of their educational outcomes. The blogs are a collection of thoughts or diary entries of their experience being home educated.This data was collected during lockdown. The study utilises participatory research methods, where young people collected data in any format on their experience being home educated. Further details may be found in the associated thesis
Results for article "Meeting the costs of decarbonising industry – the potential effects on prices and competitiveness (a case study of the UK)"
No full textThis spreadsheet contains the results for the article, "Meeting the costs of decarbonising industry – the potential effects on prices and competitiveness (a case study of the UK)". These include projected impacts for industrial process decarbonisation (costs, fuel use, residual emissions), for key years (2030, 2040, 2050), distributed in the following ways:
- Directly allocated to industrial sector in which they occur
- Shared between sectors in proportion to the share of GVA of each supply chain
- Embodied in final products
- Embodied in final products, aggregated to consumption patterns
The source of the projections and the method to perform the distribution are described in detail in the associated article.For details of the methods used, please see the associated journal article
Dataset for "Tunable frequency conversion in doped photonic crystal fiber pumped near degeneracy"
No full textThis dataset contains all the underlying data used in Figures 1, 3 and 4 of the associated paper; these figures are represented in the folder titles of the dataset. The paper is an experimental demonstration of using a germanium-doped photonic crystal fiber for tunable frequency conversion over a few nm in the InAs quantum dot emission range as well as between InAs quantum dot wavelengths and the telecoms C-band. The data comes in the form of a txt file including measurements of the photonic crystal fiber's dispersion, and excel csv files containing spectra.Full details of the methodology can be found in the associated open access paper.Figure 1, Figure 3, Figure 4(a):
Data collected as described in the related paper using a Yokogawa AQ6374 optical spectrum analyser with the resolution set to 0.05 nm.
Figure 4(b):
Data collected as described in the related paper using an Agilent 86145A optical spectrum analyser with the resolution set to 0.02 nm.The folder titles within the dataset represent figures found in the associated paper.
***** figure 3 *****
csv data for figure 3 are labelled as a date-stamp and a number.
In subfigures a-c, the number counts up as the tunable pump wavelength is increased.
For example: the data for the spectrum at 1558.1 nm corresponds to 1 and the data for the spectrum at 1558.6 nm corresponds to 2.
In subfigure d, the number counts up as the amplifier power is increased.
For example: the data for 27 dB corresponds to 1 and the data for 29 dB corresponds to 2.
Each spectrum has a corresponding reference spectrum taken with the combined C-band beams blocked so that conversion efficiency can be calculated. These are labelled ending with "_ref".
***** figure 4 *****
In subfigure b, two background measurements are included which are taken with the combined ~920 nm beams blocked. These include "Background" in the name. The background plotted in the subfigure is the average of these two datasets
Dataset for Health Education Journal, 'The promise of teacher-led physical activity strategies informed by pupil data'
No full textThe project in which this data comes from was designed to take advantage of the recent introduction of commercially available wearable devices specifically designed for the school environment (Moki Technology Ltd. ©, 2021). The devices used includes a wrist-mounted tri-accelerometer without a screen, so pupils’ access to their data is controlled by the teacher. Accelerometers return data using proprietary algorithms that include estimated step count and moderate to vigorous physical activity (MVPA) averaged over 30-minute blocks. Devices are tapped against a contactless (near-field communication) reader to instantly download data which are displayed on a teacher-facing dashboard. Moki devices have good external validity and represent a good option for school-based research (Sun et al., 2021). This type of system also makes it possible to conduct research remotely (e.g., during COVID-19).
The current study sought to share PA data from school classes with the class teacher so they could develop bespoke strategies aiming to increase PA amongst their pupils. Within-subjects’ in-school PA was measured pre- and post- data-sharing discussions. Pupils in each school aged 8-11 (Year 5-6 pupils) were invited to participate and were provided with participant information sheets for themselves and their parents (N = 489).
The dataset includes physical activity data in the form of step counts (Steps) in 30-minute blocks for each anonymised pupil and teacher (Unique ID), and information about the year and month of birth (Year), (Gender), the date (Date) and (Time) step counts were recorded. The data also details which (School) the pupils come from, whether the data is from a (Teacher), and whether this was during the (Baseline or Intervention) period.Methods
Participants Ethical approval (EP 19/20 009) was granted by the Research Ethics Approval Committee for Health (REACH) at the University of Bath.
Schools and class teachers were recruited through email and word of mouth from the South- West of England. Opportunistic sampling was used; schools were recruited on a first-come first-served basis, which was also influenced by device availability. Recruitment initially commenced in October 2020 but was paused due to UK COVID-19 national lockdowns before re-commencing in March 2021 and ending in September 2021.
School headteachers consented to being involved in the project before all pupils in each school aged 8-11 (Year 5-6 pupils) were invited to participate and were provided with participant information sheets for themselves and their parents (N = 489). Whilst information sheets were sent home to parents, it was not feasible to talk to parents due to COVID-19 restrictions; and the research was conducted fully remotely. Year 5 and 6 pupils were chosen as it is well reported that this is the least active class age group in primary education.
Baseline pupil physical activity was measured for 2-weeks using a commercially available accelerometer, before data visualisations were used to inform teacher-led strategies with the aim of improving pupils’ physical activity. These strategies were then implemented, with physical activity measured post-data-sharing discussions. Mixed-methods analysis explored the feasibility of using data visualisations to inform teachers’ understanding of their pupils’ physical activity and the development and implementation of teacher-led, school-specific strategies to increase pupils’ physical activityThe raw data was processed, cleaned, and analysed using R version 4.1.3 (2022-03-10) (R Core Team, 2022
Dataset for, "Modelling of longitudinally cut carrot curling induced by the vascular cylinder-cortex interference pressure"
Full text linkThis dataset is a part of 'Modelling of longitudinally cut carrot curling induced by the vascular cylinder-cortex interference pressure' research article. The root pressures profiles were obtained by measuring the radii of carrot curls experimentally. The proposed finite element single-curvature model is verified against the experimental images. The results, both from experiments and simulations were outlined in the excel sheet as attached.Fifty-two fresh Nantes carrots (Brookfield Farm, Lancashire, UK) of varying sizes were stored in zip lock bags in a refrigerator at 3°C. Each carrot was labelled and marked with a pen at positions 10 mm and 20 mm from the crown end and then in intervals of 20 mm until the tip end. The diameters at the marked position were measured with a vernier calliper which achieved an accuracy of 0.02 mm. The length and mass of each carrot was also recorded using a ruler to the nearest mm and a scale (OPKS009, One Home Collection) of resolution 1 g respectively. The mass recorded was used to measure evaporable moisture content.
Each carrot was chopped in half with a sharp chef’s knife. Each carrot half was clamped lightly on a lab stand such that the cut plane was levelled with the 18 megapixel camera (Coolpix S9400, Nikkon, fitted with a Nikkor 18x wide optical zoom lens VR set to 25mm focus (or zero-zoom)). The setup was levelled using a spirit level on the cut surface at the crown tip. One image was taken for each carrot half before being stored in a zip lock bag in the refrigerator (AUCL 4884W) at 3°C. The bags counteract the dried refrigerator’s natural convection, which prolongs the lifespan of the carrots by lowering the root vegetables’ hydration. The halves were placed along the vertical edge of the bags to ensure the curling action of carrots can occur as naturally as possible. The procedure was repeated for all carrot halves on the 3rd and 7th day after the initial cut.
The measurement workspace made use of a blue background to maximise the contrast of carrots when applying a thresholding algorithm to the images. Zhang’s method of camera calibration was used to ensure real straight lines remain straight on the image. A printed checkerboard pattern of 63 10-mm squares was printed on card held in line with the plane of the carrot centreline in the images to allow removal of this distortion.
To segment the carrot half from the image background, Otsu’s method was utilised to generate binary images of each carrot. A MATLAB script was written to extract from the image the upper edge of a carrot half as a position vector, from which the radius of curvature could be estimated using the second-order Kása circle fitting procedure.The code to extract both the images and finite element results were run with MATLAB v. 2020. Ansys R2 v. 2020 was used to model the single-curvature model
Full Body Kinematics and Ground Reaction Forces of Fifty Heterogeneous Runners Completing Treadmill Running at Various Speeds and Gradients
Full text linkThis dataset includes 3-dimensional ground reaction force data (1000 Hz) collected from a gradient adjustable split belt Bertec instrumented treadmill (ITC-21-20) during running at a range of speeds and gradients. Alongside the ground reaction forces are marker based motion capture data. A full body markerset was tracked (250 Hz) using 12 Qualisys Miqus cameras and Qualisys Track Manager 2022, with additional anatomical markers tracked only during the static trial. Data was also collected from six inertial measurement unit sensors (Delsys Trigno) at 519 Hz, the sensors were secured to the following locations using either tape or Velcro strapping: medial left tibia, lateral left thigh, sacrum, T10 vertebrae, lateral left upperarm, and left wrist. All of this data was collected synchronously and saved to the typical motion capture format of c3d files. Fifty runners with mixed levels of experience and fitness levels are included in this dataset (25 males, 25 females).Full body kinematics were collected using a 12 camera Qualisys Miqus system (250 Hz), recordings for each trial were automated using a PAF project within Qualisys Track Manager 2022 software. Retroreflective marker locations are detailed within the 'MarkerSet_Info' document included in this dataset. All markers were secured with double sided tape and the clusters were also secured with medical bandages. Additional markers were used within a static trial, for the purpose of model scaling, prior to the start of the dynamic trials. Synchronised with the start of the motion capture recordings was the collection of three-dimensional ground reaction force data (1000 Hz) and inertial measurement unit data (519 Hz). The ground reaction force data was collected from a Bertec instrumented split belt treadmill (ITC-21-20), during the walking trials participants were instructed to walk across the two parallel belts with their left foot landing on force plate 1 and their right foot landing on force plate 2. During the running trials participants ran only on force plate 1 (left). The inertial measurement unit sensors used were the Delsys Trigno, collecting data through the Qualisys Track Manager API. The location of the sensors were based on common sensor locations within commercial wearable products. This included: medial left tibia, lateral left thigh, sacrum, T10 vertebrae, lateral left upperarm, and left wrist. The sensors were secured with a combination of double sided tape, adhesive spray, and velcro strapping depending on the location.
Participants were recruited from local running clubs and via word of mouth. The aim during recruitment was to make the sample as heterogeneous as possible, with a wide range of ages and abilities included. The final sample also included 25 biological males and 25 biological females. Before the start of data collection participants were asked for the typical pace that they would complete a 30+ minute easy run at. This then set the baseline for the other speeds that data was collected at during their participation. Full information about the speeds and gradients of each trial can be calculated through the information provided in the 'FileNaming_Convention' file and the data in the 'Participant_Info' file. The protocol consisted of walking as well as running during 'flat', uphill, and downhill conditions. Participants were provided breaks between trials and offered to opportunity to take as many breaks between trials as required, the aim was to minimise the influence of fatigue on individuals technique, whilst collecting a variety of running conditions.The only processing completed on this dataset was the labeling of marker trajectories within Qualisys Track Manager 2022. This labeling was completed to the best of our ability. However, due to obscured markers, poor marker tracking, or markers falling off the participant, every trial could not be perfectly labeled for the full length of the recording. It must also be noted that for some participants certain inertial measurement unit sensors fell off of the participant in later trials. As well as this, dropped samples within the delsys trigno sensors are seen, with certain participants' data heavily influenced by this. It is therefore advised if aiming to use the inertial measurement unit data within this dataset it is completed with caution and thorough gap filling and data screening is completed
Introductory videos for teenagers as researchers
No full textThe creation of these videos served as a valuable visual resource to provide a clear understanding of research participation, the various research phases, and the overall timeline of the research project. This visual aid was particularly beneficial for the teenage participants, as it offered them a tangible and accessible way to grasp the intricacies of engaging in research. By watching these videos, they could gain insight into what the research process entails and develop a clearer picture of what they could expect when actively participating in the project. This visual representation, presented through a medium familiar to teenagers, not only demystified research but also ensured inclusivity and appropriateness in recruiting participants. It provided the participants with a tool they were comfortable with, enhancing their comfort and confidence in taking part in the research.I created an account with Powtoon (https://powtoonsupport.powtoon.com/hc/en-gb) and used it to create these videos to ensure accessibility and the utilisation of appropriate sampling techniques for teenagers for my PhD study.
My study is an exploratory participatory research and these videos were used to help with the recruitment of teenagers. All content is mine, and the videos have accreditation to Powtoon, the platform on which this was made, because I used a free subscription
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