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126 results for “digital technologies”
Digital Twin Technologies Towards Understanding the Interactions between Transportation and other Civil Infrastructure Systems: LIDAR Point Cloud of a Portion of UTEP Campus
<p>This Autodesk ReCap file is a combination of numerous individual LiDAR scans captured using a Leica Terrestial LiDAR system. The scan includes some black and white and some color scans. The area of campus generally focuses on the southwestern portion of campus including the Interdisciplinary Research Building, the Mining Minds roundabout, the Sun Bowl 2 Parking Lot, the University Bookstore, and the Sun Bowl Parking Garage, and roads including University Ave. and Sun Bowl Drive.</p>
SRL Curricular integration, Digital technologies & Teaching processes
<p>Systematic literature review data (2018-2021) on "technology integration" and "technology uses in education". ERIC databases.</p>
Understanding the Impact of Digital Technology: a Case Study in Rural Areas [Supplementary Material]
<p>This package contains supplementary material associated to the paper "Understanding the Impact of Digital Technology: a Case Study in Rural Areas". </p> <p><em>Abstract:</em> Designing systems that account for sustainability concerns demands for a better understanding of the impact that digital technology interventions can have on a certain socio-technical context. However, limited studies are available about the elicitation of impact-related information from stakeholders. This paper reports the experience of the authors in identifying the impact of digitalisation in remote mountain areas, in the context of a system for ordinary land management and hydro-geological risk control. Based on a set of interviews and a workshop, we reconstructed the current socio-technical system. Furthermore, we elicited information about the impact of digital technologies that were introduced in the specific context in recent years (GIS software, instant messaging apps, sensors, drones, etc.). Positive impacts are mostly economic and organisational. Negative ones are higher stress due to the excess of connectivity, and partial reduction of decision-making abilities. Our study contributes to the literature with a set of impacts specific to the case, and a list of lessons learned from the experience.</p> <p>The package contains the following files:</p> <p>1. Socio-technical System.pdf: a graphical representation of the socio-technical system that has been reconstructed by the authors of the paper.</p> <p>2. Description of System Entities.pdf: detailed description of the entities represented in the socio-technical system.</p> <p>3. Incremental Data Analysis.pdf: graphs depicted during data analysis, to represent relations between entities, towards the representation of the socio-technical system. </p> <p>4. Impacts and quotes - selected examples (EN).pdf: sample quotes (translated from Italian) associated to the impacts identified. </p>
High-Speed Serializer for a 64 GS/s Digital-to-Analog Converter in a 28 nm Fully-Depleted Silicon-on-Insulator CMOS Technology
<p>This data set contains simulation results of a high-speed serializer for a 64 GS s<sup>-1</sup> digital-to-analog converter. The circuit is presented in the paper "High-Speed Serializer for a 64 GS s<sup>-1</sup> Digital-to-Analog Converter in a 28 nm Fully-Depleted Silicon-on-Insulator CMOS Technology" in the open access journal "Advances in Radio Science".</p>
Digital technologies for improving productivity in food manufacturing - graphical capture
<p>The Centre for SMART at Loughborough University collaborated with the Internet of Food Things Network Plus to host an event that targeted players in the food manufacturing industry, as well as policy makers, and aimed to provide attendees with the opportunity to learn from companies and technology providers on best practices to successfully implement current digital technologies in food manufacturing and to discuss policy and regulatory challenges to the uptake of such technologies within the UK Food Sector.</p> <p>A full report will be available later, but this drawing was produced by Becky James from Natalka Design who was commissioned to capture the complexity of the presentations and discussions that took place at the event.</p> <p>We therefore acknowledge the contribution that all attendees at the event made to this illustration.</p>
Graphical capture from: Digital technologies for improving productivity in food manufacturing
<p>The Centre for SMART at Loughborough University collaborated with the Internet of Food Things Network Plus to host an event that targeted players in the food manufacturing industry, as well as policy makers, and aimed to provide attendees with the opportunity to learn from companies and technology providers on best practices to successfully implement current digital technologies in food manufacturing and to discuss policy and regulatory challenges to the uptake of such technologies within the UK Food Sector.</p> <p>A full report will be available later, but this drawing was produced by Becky James from Natalka Design who was commissioned to capture the complexity of the presentations and discussions that took place at the event.</p> <p>We therefore acknowledge the contribution that all attendees at the event made to this illustration.</p>
Closing of the 10th European Summer University in Digital Humanities "Culture & Technology"
<p>Summing up, thank you to all who contributed, and future perspectives</p>
The dataset of "Evaluation of Digital Supply Chain Technology's Impact on Sustainability Under the Moderate Effect of Supply Chain Dynamism: An Empirical Research in the Chinese Energy Supply Chain"
<p>This dataset involves the data from the questionnaire, which come from the project "Evaluation of Digital Supply Chain Technology’s Impact on Sustainability Under the Moderate Effect of Supply Chain Dynamism: An Empirical Research in the Chinese Energy Supply Chain". It comprises three dimensions questions, technology, sustainability and supply chain dynamism. The datas come from two Chinese energy firms, <span>China Resources Power Zhejiang Company and Hunan HuaDian Changsha Electric Co., Ltd.</span></p>
Dataset for attitude measures towards Dengue control efforts with the potential of digital technology during COVID-19
<div class="J0lOec"><span class="VIiyi"><span class="JLqJ4b ChMk0b"><span class="Q4iAWc">This data contains a questionnaire and a data set of structural equation modeling for Attitude Towards Dengue Control Efforts with the Potential of Digital Technology.</span></span> <span class="JLqJ4b ChMk0b"><span class="Q4iAWc">The variables are grouped into six namely the need for digital information systems, perceptions of being threatened with dengue, the benefits of dengue control programs, program constraints on environmental factors and attitudes in dengue control.</span></span> <span class="JLqJ4b ChMk0b"><span class="Q4iAWc">Data was collected online using Google Forms.</span></span></span></div>
The use of digital technologies among older adults during the COVID-19 Pandemic: A descriptive study in Turkey
<p>Data set from the article "The use of digital technologies among older adults during the COVID-19 Pandemic: A descriptive study in Turkey"</p>
A Prospective Observational Program Using Digital Technology Tools to Enhance Patient Adherence to Omacor Therapy
ClinicalTrials.gov study NCT03415152. IPD Sharing: NO. Countries: 1. Publications: 1.
Connecting Contact Lenses and Digital Technology
ClinicalTrials.gov study NCT02921087. IPD Sharing: NO. Countries: 1. Publications: 6.
INNOVATEDIGNITY: Co-designing Digital Health Technologies With Older People in Homecare Settings.
ClinicalTrials.gov study NCT04884711. IPD Sharing: YES. Countries: 1. Publications: 8.
Evaluating Efficacy of Digital Health Technology in the Treatment of Congestive Heart Failure
ClinicalTrials.gov study NCT04394754. IPD Sharing: YES. Countries: 1. Publications: 1.
Dataset for attitude measures towards Dengue control efforts with the potential of digital technology during COVID-19
Open the record for dataset details and reuse information.
Use of digital technologies for the development of algebraic thinking
<p>Data analyzed in this model was obtained from the experiment of a master's degree work concern of use of digital technologies for the development of algebraic thinking. The tests is carried out with two groups of 8th grade in an educational institution program of the Atlántico Department - Colombia.</p>
Anonymised dataset about Finnish teachers' digital technology usage in teaching
<p>Data have been collected in Finland in 2017–2019 from basic education teachers.The dataset is fully anonymised to make it suitable for public opening to support the reported results submitted for publication.</p> <p>Dataset contains the following variables:</p> <ol> <li>Gender (0=female, 1 = male)</li> <li>Municipality (unique numeric identifier)</li> <li>School (unique numeric identifier)</li> <li>Administrative_district (unique numeric identifier)</li> <li>Usage_of_computers_in_teaching (0 = “never”, 1 = “sometimes”, 2 = “weekly”, 3 = “daily”, 4 = “several hours per day”)</li> <li>Usage_of_tablets_in_teaching (0 = “never”, 1 = “sometimes”, 2 = “weekly”, 3 = “daily”, 4 = “several hours per day”)</li> <li>Usage_of_smartphones_in_teaching (0 = “never”, 1 = “sometimes”, 2 = “weekly”, 3 = “daily”, 4 = “several hours per day”)</li> <li>Usage_of_digital_learning_environments_in_teaching (0 = “never”, 1 = “sometimes”, 2 = “weekly”, 3 = “daily”, 4 = “several hours per day”)</li> <li>Usage_of_online_learning_materials_in_teaching (0 = “never”, 1 = “sometimes”, 2 = “weekly”, 3 = “daily”, 4 = “several hours per day”)</li> <li>Usage_of_games_in_teaching (0 = “never”, 1 = “sometimes”, 2 = “weekly”, 3 = “daily”, 4 = “several hours per day”)</li> <li>Usage_of_internet_for_information_in_teaching (0 = “never”, 1 = “sometimes”, 2 = “weekly”, 3 = “daily”, 4 = “several hours per day”)</li> <li>Usage_of_videa_sharing_services_in_teaching (0 = “never”, 1 = “sometimes”, 2 = “weekly”, 3 = “daily”, 4 = “several hours per day”)</li> <li>Usage_of_blogs_in_teaching (0 = “never”, 1 = “sometimes”, 2 = “weekly”, 3 = “daily”, 4 = “several hours per day”)</li> <li>Usage_of_networking_services_in_teaching (0 = “never”, 1 = “sometimes”, 2 = “weekly”, 3 = “daily”, 4 = “several hours per day”)</li> <li>Usage_of_digital_assessment_in_teaching (0 = “never”, 1 = “sometimes”, 2 = “weekly”, 3 = “daily”, 4 = “several hours per day”)</li> <li>Usage_of_mobileapps_in_teaching (0 = “never”, 1 = “sometimes”, 2 = “weekly”, 3 = “daily”, 4 = “several hours per day”)</li> <li>Usage_of_email_in_teaching (0 = “never”, 1 = “sometimes”, 2 = “weekly”, 3 = “daily”, 4 = “several hours per day”)</li> <li>Usage_of_office_suite_in_teaching (0 = “never”, 1 = “sometimes”, 2 = “weekly”, 3 = “daily”, 4 = “several hours per day”)</li> <li>Total_scores_in_ICTskilltest (range 0-30)</li> <li>Age (years in numbers)</li> <li>Digital_self_efficacy (perceived level of competence on a scale of 0-100% in relation to one's own work)</li> <li>In_service_training (perceived adequacy level on a scale of 0 to 100% in relation to one's own work)</li> <li>STEM_teacher (in the case of a teacher of STEM subjects = 1, otherwise = 0)</li> <li>Humanities_social_science_teacher (in the case of a teacher of humanities or social science subjects = 1, otherwise = 0)</li> <li>Arts_skills_teacher (in the case of a teacher of arts and skills subjects = 1, otherwise = 0)</li> <li>Use_of_devices_for_teaching (the sum variable of the use of digital devices, i.e., the maximum use of any type of device)</li> <li>Versatility_of_usage (the sum variable for regular (= at least weekly) use of different applications)</li> <li>Teacher_type (0 = classroom teacher, 1 = subject teacher, missing value = other teaching staff)</li> <li>Classroom_teacher in the case of a classroom teacher = 1, otherwise = 0</li> </ol>
Original research data for the paper "Additive Manufacturing of Polymeric Gradient Index Optics via Grayscale Digital Light Processing Vat Photopolymerization Technology"
<p>[CMOS camera data]</p> <p>[conversion maps]</p> <p>[cure kinetics]</p> <p>[GRIN profiles arbitrary]</p> <p>[MonoPrinter grayscale power density]</p> <p>[MonoPrinter print files]</p> <p>[pictures of arbitrary GRINs]</p> <p>[predicted printing param matrices]</p> <p>[refractive index vs conversion]</p> <p>[working curve]</p>
Evaluating the potential of Digital Twin technology on pharmaceutical manufacturing efficiency in Ireland: An in-depth analysis of Machinery Validation
<p>The dissertation titled <strong>"Evaluating the Potential of Digital Twin Technology on Pharmaceutical Manufacturing Efficiency in Ireland: An In-depth Analysis of Machinery Validation"</strong> explores the transformative impact of Digital Twin (DT) technology within Ireland's pharmaceutical manufacturing sector. Conducted by MSc candidate Gayathri Gopakumar at Griffith College Dublin, the research focuses on how DT technology can enhance machinery validation processes, thereby improving operational efficiency and ensuring regulatory compliance.</p> <p>Employing a qualitative research methodology, the study includes semi-structured interviews with industry experts to gather insights into the current awareness, perceived benefits, and challenges associated with DT adoption in the pharmaceutical industry. The research aims to provide a comprehensive understanding of DT technology's role in machinery validation and its broader implications for manufacturing efficiency.</p> <p>This work contributes to the existing body of knowledge by offering a detailed analysis of DT technology's potential applications in pharmaceutical manufacturing, with a specific focus on the Irish context. It serves as a valuable resource for professionals and researchers interested in the integration of advanced digital technologies in the pharmaceutical sector.</p>
Attitudes of Health Care Professionals Toward Older Adults' Abilities to Use Digital Technology: Open Access Data Sets
<p>Open access dataset related to 2 studies published under:</p> <p>Mannheim I, Wouters EJM, van Boekel LC, van Zaalen Y<br> Attitudes of Health Care Professionals Toward Older Adults’ Abilities to Use Digital Technology: Questionnaire Study<br> J Med Internet Res 2021;23(4):e26232<br> URL: https://www.jmir.org/2021/4/e26232<br> doi: 10.2196/26232</p>
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.