1056 research outputs found
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Figures for publication 'The origin of the Poynting flux associated with transient luminous events'
No full textThis data is to illustrate the data analysis, and exemplary results of the data described in the corresponding publication entitled 'The origin of the Poynting flux associated with transient luminous events'.
During the observation campaign of January 2023 from South Africa, 9 Transient Luminous Events (TLE) were recorded by monochrome TV camera and 6-axis electric and magnetic field sensors. For the first time, simultaneous observations of the azimuth angles of arrival calculated for the parent positive lightning discharge location, the associated optical TLE photon flux, and the six-axis radio wave Poynting vector are combined. In all cases, the TLEs did not occur directly above the initiating lightning strike and with sufficient horizontal displacement to allow unambiguous discrimination of the azimuth angle of arrival. The Poynting flux came from the general direction of the TLE parent lightning strike.This data lives in the context of the corresponding publication entitled 'The origin of the Poynting flux associated with transient luminous events'. Any use of the data outside this specific context should be discussed with lead author in the first instance.
The data is described in three different forms that build on each other in a logical and hierarchical order.
(1) High level description: All the data is described in textual form in the corresponding publication in extensive detail.
(2) Low level description: The actual values of the data and their units which are used in the publication are embedded in the corresponding standard Matlab .fig file, and in the image files.The figures can be loaded into the Matlab programming language which is explained on the website https://uk.mathworks.com/help/matlab/getting-started-with-matlab.html?s_cid=learn_do
Dataset for "Sodium alginate/cuprous oxide composite materials with antibacterial properties: A preliminary study revealing the counteracting effects of oligosaccharides in the matrix"
No full textThe dataset presented herewith is that of a research paper entitled “Sodium alginate/cuprous oxide composite materials with antibacterial properties: A preliminary study revealing the counteracting effects of oligosaccharides in the matrix”, authored by Reeba Thomas, Fengyi Wang, Wipa Suginta, Chien-Yi Chang, Fengwei Xie.
In this study, different hydrogels based on sodium alginate (SA) included with chitin or chitosan oligosaccharides (NACOS or COS) and cuprous oxide (Cu₂O) nanoparticles were prepared and their antimicrobial properties were assessed. The details of this research can be read from the paper.For details of the methodology, see the "Materials and methods" section of the associated paper.The files were created using Excel, Origin, and GraphPad prism software programmes.For the detailed information regarding the samples tested, refer to the respective figure captions in the associated paper
Peacification. Data for the elaboration of the social realities peace and security framing constitutes in conflicts.
Full text linkThis data reveals the association between peace and security framing in US presidential speech on the one hand, and the US impact on fatalities in US conflicts on the other. Specifically, it compares the frequency of certain key terms and references in presidential speech from the period 1993-2014, as they were coded from the text in the “Public Papers of the Presidents of the United States”, with statistics on fatalities of organised violence during the same period, drawn from Uppsala University's UCDP Georeferenced Event Dataset.The data is based on NVivo content analysis of US Presidential Papers from 1993 until the end of 2013, for the period of humanitarian interventionism. The quantified textual data is then moved to StataB 18 package, and merged with data from Uppsala University's UCDP Georeferenced Event Dataset (GED) Global version 24.1:
- Davies, Shawn, Garoun Engström, Therese Pettersson & Magnus Öberg (2024). Organized violence 1989-2023, and the prevalence of organized crime groups. Journal of Peace Research 61(4).
- Sundberg, Ralph and Erik Melander (2013) Introducing the UCDP Georeferenced Event Dataset. Journal of Peace Research 50(4).
Some of the word frequency calculations are from the following dataset:
- Kivimäki, T., 2019. Coding of US Presidential discourse on protection. Bath: University of Bath Research Data Archive.Textual content analysis is created by using NVivo R 1.6 package while the preparation of conflict data has been created by using StataB 18 package.The data consists of coding of text as explained in the codebook, and monthly observations of conflict data as explained in the codebook and in the associated article
Datasets for Bilateral Lower-Limb Neuromechanical Signals in Able-Bodied and Impaired Individuals with Wearable and Ambient Sensors (BLISS)
Full text linkTo address the challenges in human activity recognition (HAR) and advance research in lower-limb assistive devices and machine learning (ML) for HAR, we introduce the BLISS dataset (Bilateral Lower-Limb Neuromechanical Signals). This benchmark dataset includes bilateral EMG and limb kinematics from wearable sensors for 21 subjects, encompassing both healthy individuals and those with mild to severe gait abnormalities. The selected abnormalities, which are clinically prevalent, include reduced knee flexion due to stiffness and/or overweight conditions, and dorsiflexor weakness resulting from stroke, multiple sclerosis and lumbar radiculopathy. Subjects perform free ground-level walking in an uncontrolled environment across multiple trials, each representing a complete gait bout. Additionally, marker-based motion capture and force plates provide ground truth estimates of limb positions and ground reaction forces. Comprehensive analyses estimate angular accelerations, velocities, positions, and torques at individual joints. The dataset is fully annotated for gait cycle phases: loading response (LR), mid-stance (MST), terminal stance (TS), pre-swing (PSW), and swing (SW),. This dataset complements existing benchmarks by offering detailed guidelines for sensor modality selection, analysis, and annotation, and balancing data between healthy and impaired subjects.The subject's weight and height were measured using analog devices. The motion capture cameras and force plates were calibrated prior to the experiment. 15 wearable sensors (inertial measurement (IMU) plus electromyography (EMG) integrated units) were attached to the participants' lower limbs. 26 passive reflective markers were attached non-invasively on top of skeletal landmarks according to the IOR lower body automated identification of markers (AIM) model. The attachment of sensors and markers is visually illustrated in the additional metadata files associated with the dataset. The walking procedure involved moving forward for about 5 meters. Each subject performed this trial approximately 50 times, with administrated breaks to prevent fatigue. The number of gait bouts in each direction was roughly equal, with each bout covering nearly 5 meters. Subjects walked at their self-selected speeds, and trials with pauses or trips within the force plate area were discarded. Data collection took about 3 hours for healthy subjects and extended to 4-5 hours for those with severe impairments.The dataset was annotated using a visual3D. EMG and IMU signals were filtered thoroughly according to literature recommendations. Visual3D software analyzed raw Qualysis signals, assigning joint reference frames and calculating kinematic and dynamic data. The processed data was later segmented into analysis windows to create additional feature-based datasets. Each window's features were computed, including 780 features from 30 sensors. MATLAB was used for gait analysis, comparing joint kinematic/kinetic data to normative data and processing EMG envelopes and gait cycle data. Data from the test subjects was completely anonymized using unique codes.Qualysis software (Qualysis, Göteborg, Sweden) 2023;
Visual3D software (HAS-motion; Kingston, Ontario) 2023;
MATLAB software (Mathworks, Natick, Massachusetts, United States) 2022;
15 Trigno Avanti™ Sensors; Delsys, Natick, MA, USA.
The motion capture system used (Qualysis, Göteborg, Sweden) includes 14 cameras (2 Miqus and 12 Arqus cameras) to track passive markers.
Ground reaction forces are recorded using four force plates (BMS400600; Amti, Watertown, MA, USA) fixed to the lab floor
Dataset for "Investigating the Impact of Deformable, Movable and Rigid Surfaces on Force-Input Interactions"
No full textThis dataset supports the article "Investigating the Impact of Deformable, Movable, and Rigid Surfaces on Force-Input Interactions" (TOCHI, 2025). It comprises aggregated data from three controlled user studies (each with 28 participants).
The studies systematically explore how surface compliance type—Deformable, Movable and Rigid— and surface stiffness affect user performance and experience in force input tasks.
The dataset includes:
• Task performance data, including force input selection and hold accuracy across different surface conditions.
• Self-reported user data, including qualitative ratings and preferences.
The data were collected to examine how the physical properties of different surfaces influence users' ability to perform force input tasks, along with their surface preferences.
This dataset enables further analysis and may support new investigations into haptic interaction, input techniques, or the design of novel interfaces in human-computer interaction.For the methodology and apparatus of the data collection, please refer to the paper
Dataset for: Decision-making and acute behavioural disturbance (ABD): a qualitative thematic analysis of perspectives on decision-making by UK ambulance paramedics
No full textAnonymised transcripts of ten semistructured individual interviews and one focus group. This data is from an exploratory study of decision-making by UK ambulance paramedics when managing patients with acute behavioural disturbance who may require restraint.Semi-structured individual and group interviews. Participants sampled from a single UK metropolitan Ambulance Service NHS Trust. Interview data was recorded via microsoft teams and transcribed intelligent verbatim with data anonymised by the transcriber
Dataset for EVA 2023 Data Challenge
No full textThis data set provides the datasets generated by the three creators (data challenge organisers) and subsequently provided to the participants of the EVA 2023 Data Challenge.
The dataset aims to capture the variety of contexts experienced in the analysis of environmental extremes data. This involves both univariate and multivariate problems. The univariate extremes problems involve inference for extreme quantiles when faced with additional complications such as covariates; data missing at random; and the need to convert the inference into design levels which account for different losses from over- and under-design.
The data set consists of five data files:
1. Amaurot: Training data given to the participants for Tasks 1 and 2
2. AmaurotTestSet: Collection of test data points for which predictions had to be submitted
3. Coputopia: Data participants had to consider for Task 3
4. UtopulaU1 + UtopulaU2: Data participants had to consider for Task 4
The aim of this dataset, developed for the Data Challenge, is to assess performance in multivariate extremes in a way that is independent of marginal extremes abilities. Consequently, the multivariate problems relate to data where the univariate marginal distributions are all known.Data is entirely simulated using methodology from the statistical research area of Extreme Value Theory. Further details on the methodology can be found in the associated paper.Data was simulated using the statistical programming language R
Dataset supporting: A qualitative study exploring the role of perfectionism in trichotillomania
No full textThe dataset was used to address the research question 'What is the role of perfectionism in trichotillomania?'. It includes responses to demographic and standardised questionnaires, presented in both text and numeric formats, from 31 participants with trichotillomania; and anonymised transcripts of semi-structured interviews with 20 of the same participants. A copy of the semi-structured interview schedule and demographic questionnaire created for data collection are included.Participants were recruited via advertisements on social media and body-focused repetitive behaviour support groups. The researcher was contacted by individuals wishing to take part in the study, who then provided the potential participants with a link to the consent form, PIS and eligibility screening questionnaires.
In addition to a demographic questionnaire constructed for this study, the following standardised questionnaires were used:
- Body Image Questionnaire (BIQ);
- Massachusetts General Hospital Hairpulling Scale (MGH-HPS);
- Patient Health Questionnaire (PHQ-9);
- Generalised Anxiety Disorder scale (GAD-7);
- Frost Multidimensional Perfectionism Scale (FMPS);
- Obsessive Compulsive Inventory Revised (OCI-R);
- Style of Planning (STOP) questionnaire.
The questionnaires were presented via Qualtrics, an online survey platform. Responses from participants were exported from Qualtrics to a Microsoft Excel spreadsheet, ready for analysis.
Semi-structured interviews were conducted via Microsoft Teams (MS Teams) and audio recorded. MS Teams created a transcript of each interview which was checked for accuracy by the researcher using the audio recordings, and anonymised. Anonymised transcripts were used for the data analysis
Data set for "Physical Origin of Temperature Induced Activation Energy Switching in Electrically Conductive Cement"
No full textThis document contains complete research data and supporting information in paper "Physical Origin of Temperature Induced Activation Energy Switching in Electrically Conductive Cement" that has been published in the journal of Advanced Science.
The research data contains complete results of thermodynamic modelling, microstructural characterisation, and mathematical deductive process for automation algorithm development.
The supporting information contains the associated methods and methodologies to produce the research data.
Contents in supporting information include:
SI – 1. Materials and mix design
SI – 2. Fabrication process
SI – 3. Thermal cycle configurations
SI – 4. Electrochemical impedance spectroscopy (EIS)
SI – 5. Variation in moisture content during thermal cycle
SI – 6. Chemical equilibria of simulated pore solution
SI – 7. Thermodynamic modelling
SI – 8. Calculation of electrical parameters
SI – 9. Calculation of activation energies 24
SI – 10. Meyer–Neldel Rule (MNR) validation
SI – 11. Microstructural characterization
SI – 12. Development of electrical conductivity through curing age
SI – 13. Effect of temperature and fibre content on impedance behaviours
SI – 14. Thermally induced alteration in the architecture of conduction pathways
SI – 15. Determination on ionic and electronic conductivity percentages
SI – 16. Solving process of environmental susceptibility χ for automation
Contents in research data include:
1. Complete data of impedance response of all the samples through curing ages
2. Complete data of thermodynamic modelling outputsThe data collection method is contained in supporting information.The technical details and requirements are contained in supporting information
Dataset for validation of the self-Dehumanisation in Psychosis Scale (DiPS): measuring feelings of self-dehumanisation in people who experience psychosis
Full text linkThe dataset contains data collected from 456 people with experience of psychosis who participated in a study to validate the self-Dehumanisation in Psychosis Scale (DiPS). Demographic information includes ethnicity, gender, age, diagnosis, and whether a person is taking anti-psychotic medication. There are data from five self-report questionnaires collected at one time point: self-Dehumanisation in Psychosis Scale (DiPS); Self Compassion Scale Short Form (SCS-SF) (Raes et al., 2013), Revised Green et al., Paranoid Thoughts Scale (R-GPTS) (Freeman et al., 2021); Hamilton Programme for Schizophrenia Voices Questionnaires (HPSVQ), (Van Lieshout & Goldberg, 2007); Internalized Stigma of Mental Illness Inventory-9 (ISMI-9) (Hammer & Toland, 2017).
The DiPS was completed at a second time point 3-7 days after the first to assess test-retest reliability. A subset of 197 participants completed the DiPS at the second time point.There were two arms of recruitment for this study: NHS and non-NHS.
- NHS participants were recruited from 16 NHS sites across England and Wales with support from the NIHR Clinical Research Network. Participants from NHS services with a diagnosis of schizophrenia spectrum disorder or eligibility for Early Intervention in Psychosis services were approached by local research teams and offered study participation.
- Non-NHS participants were recruited through advertisements with mental health charities. Participants were required to have recent experience of distressing psychosis to be eligible for the study.
- Both NHS and non-NHS participants were required to be 18 years old or above, and understand English language well enough to comprehend study materials.
Once participants agreed to take part, they completed the questionnaires either via REDCAP or paper copy. Paper copy results were then entered manually into REDCAP. Participants completed 'Survey 1', involving DiPS, SCS-SF, ISMI-9, R-GPTS, and HPSVQ at time point 1. A subset of participants then completed 'Survey 2' (DiPS for a second time) at time point 2.1) Participant entries in which Survey 1 has not been completed have been removed.
2) Mean imputation was used to replace missing data from questionnaires in which <20% items were incomplete.
3) Participants who indicated 'Other' for mental health diagnosis were asked to specify their using a free text entry box. This specification has been removed to avoid exposing potentially identifiable information.
4) One participant indicated a diagnosis of schizotypal disorder ('3' for diagnosis). This has been grouped with 'Other' to avoid exposing potentially identifiable information.Dataset was collected using REDCAP or on paper (then subsequently entered into REDCAP).Important: This dataset displays data scores for the 22-item DiPS. Following analysis in the DiPS validation study, the number of items in the DiPS was reduced to 13.
For researchers seeking to conduct secondary analysis on this dataset, it is imperative that the 13-item DiPS is analysed, not all 22 items.
To do this, please select the following 13 items: dips2, dips4, dips6, dips7, dips8, dips9, dips10, dips12, dips13, dips14, dips17, dips21, dips22
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