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4,404 results for “digits”
Digital Image Correlation Workshop at the University of Manchester, September 2016
<p>Enabling Process Technologies sponsored a Digital Image Correlation (DIC) workshop on 8 September, 2016 at the School of Mechanical, Aerospace and Civil Engineering at the University of Manchester. Alistair Tofts, Director of Sales & Marketing at Correlated Solutions attended and provided a series of presentations covering DIC theory, and the working principles of the VIC lineup of DIC software.</p> <p>Afterwards, three discrete tests were conducted with the same specimen and speckle on three different frames and setups:</p> <ul> <li>High speed: Zwick HTM-5030 test frame, Photron SA.1 high speed cameras</li> <li>Quasi-static 2D: Instron 5969 test frame, Point Grey Research machine vision camera</li> <li>Quasi-static 3D: Instron 5659 test frame, 2 Point Grey Research machine vision cameras</li> </ul> <p>The archives included in this dataset are:</p> <ul> <li>Presentations: contains the slides from the presentations given by Alistair Tofts, as well as an outline/agenda given by Matthew Roy.</li> <li>3D_fast, 2D_slow and 3D_slow: correspond to the tests/setup described above, including all calibration and test images, along with VIC metadata for replaying analyses.</li> </ul> <p>Specimen geometry is shown on slide 6 of ~/Presentation/DICWorkshopPresSept2016_MJR.pptx, and markdown readme files are included to describe the test and data.</p>
Posina Catchment Digital elevation model
<p>This is the DEM data set used in paper "Estimating the water budget components and their variability in a Pre-Alpine basin with JGrass-NewAGE" by Abera W., Formetta G., Borga M. and Rigon R. </p>
Dataset supporting Sound and Automated Synthesis of Digital Stabilizing Controllers for Continuous Plants
<p>Executable benchmarks and result data set for the experimental evaluation in our publication "Sound and Automated Synthesis of Digital Stabilizing Controllers for Continuous Plants" published at Hybrid Systems: Computation and Control (HSCC) 2017.</p> <p> </p> <p>Abstract:</p> <p>Modern control is implemented with digital microcontrollers, embedded within a dynamical plant that represents physical components.</p> <p>We present a new algorithm based on counter-example guided inductive synthesis that automates the design of digital controllers that are correct by construction. The synthesis result is sound with respect to the complete range of approximations, including time discretization, quantization effects, and finite-precision arithmetic and its rounding errors.</p> <p>We have implemented our new algorithm in a tool called DSSynth, and are able to automatically generate stable controllers for a set of intricate plant amodels taken from the literature within minutes.</p>
A Hybrid Focus Group for the Evaluation of Digital Scholarly Editions of Literary Authors
<p>Data from focus group conducted for DiXiT - Digital Scholarly Editions Initial Training Network. </p> <p>We are studying the use of digital scholarly editions, by observing what users do in interaction with different editions. For this analysis, we chose three digital scholarly editions, designed tasks specific to these editions, confronted typical users with these tasks, and analysed the quality of use in relation to efficiency and effectiveness.</p> <p>The research leading to these results has received funding from the People Programme (Marie Curie Actions) of the European Union's Seventh Framework Programme FP7/2007-2013/ under REA grant agreement n° 317436.</p>
Collection of Tibetan etexts compiled by the Buddhist Digital Resource Center
<p>This is the Tibetan etext collection of the Buddhist Digital Resource Center (www.tbrc.org) as of April 28, 2017.</p>
Digital Government Performance Thailand
<p>The dataset is collected on the basis of a modified Digital government performance questionnaire prepared by the OECD. The questionnaire anlyses the use of digital tools and the level of digitalisation of the public sector in Thailand. </p>
Fig. 1 in Classificação Digital de Cicadidae com Wavelets e Support Vector Machines
Fig. 1. Ninfa móvel de Quesada gigas
Fig. 2 in Classificação Digital de Cicadidae com Wavelets e Support Vector Machines
Fig. 2. Cigarras da espécie Quesada gigas, envolvidas nos experimentos
«Breve introdução a…»: Preservação digital
<p>Na sua segunda temporada, «CHAM <i>Talks,</i> um podcast para ouvir ciência» dá início a uma nova rubrica, «Breve introdução a…», que pretende explicar de forma sucinta alguns conceitos importantes. Começamos por conversar com Paula Ochôa sobre o conceito de preservação digital. O que caracteriza este conceito? Porque é cada vez mais importante para os centros de investigação? Quais os principais desafios no futuro? Qual o papel dos investigadores?<br><br>Paula Ochôa coordena a linha temática «Paradigma digital» do CHAM — Centro de Humanidades. Professora Auxiliar da NOVA FCSH, aí coordena o mestrado em Património e co-coordena o mestrado em Gestão e Curadoria de Informação. Foi bibliotecária durante mais de 30 anos, tendo-se especializado na área da gestão da informação. Fez a maior parte da sua carreira na Biblioteca Nacional de Portugal e na Secretaria Geral do Ministério da Educação, onde foi Diretora de Serviços de Informação e Documentação.</p><p>A entrevista é conduzida por Isabel Araújo Branco.</p><p> </p>
Data on digitalization in Indonesian provinces
<p>Data on digitalization in Indonesian provinces is the collection of the data for variables affecting the level of digitalization in Indonesian provinces measured by the use of Indonesian Digital Society Index. </p>
Sentiment study of the digitalization - survey results
<p>Survey results on sentiment conducted in Poland.</p>
Digital Convergence or Divergence
Open the record for dataset details and reuse information.
Descriptive Study on Nursing Students' Interest in Using Digital Communication and Social Media in their Field after Covid-19
<p>This paper is about Descriptive study of nursing students' interest in using Digital communication in their field after Covid 19. Digital communication and social media have massive social interaction among community users that generate an extensive amount of data. The study was conducted in the faculty of nursing at Najran University, King Dome of Saudi Arabia (KSA). A descriptive correlational research design was followed in this study Sample: 300 nursing students. The first tool: is the interview sheet. Include two parts: Part (1) student personal data. Part (2) the nursing students' interest in Digital communication and social media. The second tool: - a questionnaire to Measure nursing students' knowledge about using Digital communication and social media in their field. Results: (74.7%) of nursing students were interested in Digital communication, and more than half (55.3 %) knew about Digital communication and social media, there's a statistical association between the academic level and students' interest. Provide special education about Digital communication to improve students' knowledge in the health field for using after covid 19, In-service Training for Various Digital communication and social media platforms. dissemination of the findings of this research study to the public and private healthcare organizations</p>
Digital research data from: Evaluation of a pH- and time-dependent model for the sorption of heavy metal cations by poultry litter-derived biochar
<p>This is digital research data corresponding to a published manuscript, Evaluation of a pH- and time-dependent model for the sorption of heavy metal cations by poultry litter-derived biochar. Chemosphere (2024), 347, 140688. https://doi.org/10.1016/j.chemosphere.2023.140688. </p> <p>Common isotherm and kinetic models cannot describe the pH-dependent sorption of heavy metal cations by biochar. In this paper, we evaluated a pH-dependent, equilibrium/kinetic model for describing the sorption of cadmium (Cd), copper (Cu), nickel (Ni), lead (Pb), and zinc (Zn) by poultry litter-derived biochar (PLB). We performed sorption experiments across a range of solution pH, initial metal concentration, and reaction time. </p>
Non-Perennial rivers and streams under hydrological stress – comparing the effectiveness of amplicon sequencing and digital microscopy for diatom biodiversity appraisal
<p>ABC is project leader, data collector, contact person, etc.</p>
Supplementary digital data for "Widespread contamination of soils and vegetation with Current Use Pesticide residues along altitudinal gradients in a European Alpine valley"
<p>Supplementary digital data for the publication:</p> <p>Widespread contamination of soils and vegetation with Current Use Pesticide residues along altitudinal gradients in a European Alpine valley</p> <p>Data that was no publicly available but is used for Figure 1 - 3 in the manuscript is provided in this repository in addition to the raw data describing the occurrence in plant and soil matrices throughout the Vinschgau valley along the altitudinal transects.</p> <p> </p>
A Survey on Usability Evaluation in Digital Health and Potential Efficiency Issues
<p><strong>A Survey on Usability Evaluation in Digital Health and Potential Efficiency Issues</strong> is a research study published at HEALTHINF24 that aimed to collect and analyse data from 144 usability experts on their experiences with usability evaluation of digital health applications.</p> <ol> <li>This file, "<strong>Usability Survey Paper Appendix A (Questionnaire)</strong>", contains the comprehensive set of questions and materials used in the usability survey discussed in the main paper. It serves as an essential resource for readers and researchers aiming to gain in-depth insights into the survey's questionnaire design, structure, and content. This appendix offers a detailed overview of the questionnaire, including the questions' wording, order, and categorizations, enabling an in-depth understanding of the survey's methodology and findings. <ul> <li>The survey had three different parts with a total of 19 questions including <ul> <li>1) the introductory and screening part,</li> <li>2) the demographic part,</li> <li>and 3) the main part asking usability-related questions (see survey questionnaires).</li> </ul> </li> <li>The questionnaire used in the study included both fixed-alternative questions (such as true/false, multiple choice, checkbox, and rating scale) and open-ended free-text responses. It incorporates an initial set of response options for the fixed-alternative questions, which were primarily derived from the relevant literature and grey literature. Almost every question included open-text fields to accommodate a broader range of responses, allowing participants to share answers not listed in the fixed alternative questions.</li> <li>The introductory and screening part includes survey information and screening them based on a non-leading mandatory screening question to determine whether volunteers meet the eligibility criteria. </li> <li>The demographic part consists of eight questions designed to know participants better regarding their demographics and previous experiences in assessing and ensuring the usability of digital health applications (see Part II of survey questionnaire). The questions asked participants about their gender, age, job position or title, and their experiences regarding evaluating the usability of applications in the digital health sector. They were also asked about the types of digital health systems/services/technologies they had evaluated for usability.</li> <li>The main part contains ten usability evaluation related questions, with one attention check question placed in the middle of the survey. This section focuses on usability evaluation tools, methods, and approaches to understand how usability experts assess and ensure the usability of digital healthcare software. Participants were also asked about the usability characteristics that are covered during the usability evaluation in digital healthcare. Furthermore, another sub-part of this section explores the benefits of using tools during usability evaluation, as well as the overall perceived benefits and challenges encountered during conducting usability evaluation of digital health apps.</li> </ul> </li> <li><strong>Appendix B</strong>, titled "<strong>Usability Survey Paper Appendix B (Detailed Results in Tabular Form)</strong>," provides an exhaustive compilation of the results obtained from the usability survey detailed in the main paper. The file contains organized, tabulated data offering insights into participants' responses, practices, and experiences. Each table is carefully structured to ensure clarity, making the data accessible and interpretable for subsequent analysis, review, and comparison.</li> <li>The <strong>quantitative dataset </strong>(filename: <strong>Usability Survey Paper Dataset.xlsx</strong>) includes the responses of usability experts to questionnaires about their demographics, experience with usability testing, and the frequency of use of different usability evaluation methods. This dataset also includes quantitative data on the ranking of the importance of different aspects of usability evaluation, such as ease of use, efficiency, and satisfaction. The qualitative dataset also includes the responses of usability experts to open-ended field of survey questions.</li> </ol>
Iterative evaluation of mobile computer-assisted digital chest x-ray screening for TB improves efficiency, yield, and outcomes in Nigeria
<p>Wellness on Wheels (WoW) is a model of mobile systematic tuberculosis (TB) screening of high-risk populations combining digital chest radiography with computer-aided automated detection (CAD) and chronic cough screening to identify presumptive TB clients in communities, health facilities, and prisons in Nigeria. The model evolves to address technical, political, and sustainability challenges.</p> <p>Screening methods were iteratively refined to balance TB yield and feasibility across heterogeneous populations. Performance metrics were compared over time. Screening volumes, risk mix, number needed to screen (NNS), number needed to test (NNT), sample loss, TB treatment initiation and outcomes. Efforts to mitigate losses along the diagnostic cascade were tracked. Participants with high likelihood on CAD4TB (≥80) who tested negative on a single spot GeneXpert were followed-up to assess TB status at six months.</p> <p>An experimental calibration method achieved a viable CAD threshold for testing. High-risk groups and key stakeholders were engaged. Operations evolved in real-time to fix problems. Incremental improvements in mean client volumes (128 to 140/day), target group inclusion (92% to 93%), on-site testing (84% to 86%), TB treatment initiation (87% to 91%), and TB treatment success (71% to 85%). Attention to those as highest risk boosted efficiency (the NNT declined from 8.2 ± SD8.2 to 7.6 ± SD7.7). Clinical diagnosis was added after follow-up among those with ≥ 80 CAD scores initially spot-sputum negative found 11 additional TB cases (6.3%) after 121 person-years of follow-up.</p> <p>Iterative adaptation in response to performance metrics foster feasible, acceptable, and efficient TB case-finding in Nigeria. High CAD scores can identify subclinical TB and those at risk of progression to bacteriologically-confirmed TB disease in the near term.</p> <p>Policy makers, donors, and community advocates are hesitant to invest in the steep infrastructure costs for mobile digital chest x-ray and GeneXpert MTB/RIF (dCXR/GXP) laboratories without a better understanding of how to maximize and sustain their impact. It is rarely possible to conduct the months of local CAD calibration recommended by experts via costly universal testing with a reference standard.4,9 Stakeholder needs and resource limitations require a more rapid and cost-conscious means of setting a sustainable algorithm. Viable, field-robust methodologies are needed, and optimization strategies informed by routine field findings were lacking. A precise assessment of the contribution of routine mobile TB screening has been challenging because few authors fully disaggregate losses along the diagnostic cascade or track TB treatment outcomes. Publication bias has limited access to results of active case finding pilots with suboptimal risk group targeting, community engagement, yield, or treatment outcomes.10–14 Evaluations (and scrutiny) of routine data are needed that make the demands, constraints, costs and choices facing implementers more explicit.</p>
Bethel Digital Lockdown: Angel Statue by Meraiah
This is a model of an angel statue. My mom bought this statue when I was young, so it reminds me of my family. This helps to represent my covid experience because I spent most of my spring and summer in lockdown with my family. Source: Objaverse 1.0 / Sketchfab
Lesingey Round: digital surface model
Lesingey Round is a hillfort near Penzance in Cornwall, and likely dates to the Iron Age. The monument consists of a roughly circular enclosure surrounded by ramparts with a ditch on the outside. From the partially buried ditch, the ramparts stand over 4.5m high in places. In other areas the ramparts have been damaged. The site sits atop a prominent hill with panoramic views, and is covered by a 'crown' of trees that cover the site. In this model the trees have been digitally removed to allow for a different understanding of the site. This 3D survey was undertaken by the [Curatorial Research Centre](https://curatorialresearch.com) on behalf of Penwith Landscape Partnership (PLP). The site is owned and maintained by the [Cornish Ancient Sites Protection Network](https://cornishancientsites.com/) (CASPN). Source: Objaverse 1.0 / Sketchfab
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.