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4,404 results for “digits”
WeatherPon: A Weather and Machine Learning-based Coupon Recommendation Mechanism in Digital Marketing
<p>These are the datasets that we used.</p>
Digital Encyclopedia of British Sociability
<p>The DIGIT.EN.S encyclopedia is comprised of 200 entries and an anthology of primary sources on eighteenth- and early nineteenth-century sociability. The entries are divided in 5 categories: people, places, practices, objects and concepts. The entries focus mainly on British sociability but explore also the circulation and transfers of models, forms, practices and values of sociability throughout Europe and in the colonial worlds.</p>
Data Table - Digital Scholarship, PhD project "Bridging Data Science and Intellectual History: Computing the Nodes and Edges in the Old University of Louvain (1425-1797)"
<p>How were academic networks configured in the premodern world, and how did they change? This doctoral project seeks to offer a data-driven answer by computing networks at and around the Old University of Louvain (1425-1797), a crucial hub for the transfer of knowledge in late medieval and early modern Europe. Drawing upon datasets under construction from the teams of the PIs at KU Leuven and UCLouvain, this project sets out to plot and visualize networks of students, scholars and their ‘books’ over almost four centuries, thus integrating data from demographic, prosopographical and book historical datasets. This will lead to a better understanding of how academic communities evolved in the past, and it will help to assess how their organization and structure promoted or hindered the creation and transfer of knowledge in premodern Europe. Hence, the doctoral research project offers an innovative test case to develop novel understandings of networks (e.g.. new tested ways to define nodes and edges) in datasets on scholars and ‘literati’, and it will be able to compare these new results to interpretations of human capital indices in the past. As such, the project creates a pioneering pilot for integrating data science into the field of intellectual and early modern history. This enhanced collaboration between KU Leuven and UCLouvain on a theme related to their common past is timely in view of 600 years Leuven/Louvain in 2025.</p>
Data for "Borealis: An Advanced Digital Hardware and Software Design for SuperDARN Radar Systems"
<p>Clyde River SuperDARN data for 2022-02-07, 18:00-20:00UT.</p> <p>Included are the RAWACF and FITACF files, the latter of which was used to produce Figure 6 in the partner paper: "Borealis: An Advanced Digital Hardware and Software Design for SuperDARN Radar Systems".</p> <p>Data can be processed further using the Radar Software Toolkit (RST: https://github.com/SuperDARN/rst), or plotted using pyDARN (https://github.com/SuperDARN/pydarn).</p>
Dataset for Digital Twin paper
<p>Description for each folder:</p> <p>1) The "raw_signal_data" folder contains original sensor data. The origigital sensor data is named as "ACF-x-x.xlsx". In each excel document, three directions of vibration, current and force sensor data is included. Naming rules is as follows: "ACF-1-2.xlsx" represents the orginal sensor data from first layler's second slot in. "ACF-2-3.xlsx" represents the orginal sensor data from second layler's third slot.</p> <p>2) The original real measured surface roughness is in the "Ra.xlsx". The corresponding cutting parameters for every raw signal data of each slot are shown in "Ra.xlsx" document as well. <br> 3) The prediction results from different models are save in "prediction_results". The detalies are listed below.</p> <p> "BPNN_all_signal.xlsx" is the prediction result from BPNN used the combination of all sensors data as the model input <br> "BPNN_current_signal.xlsx" is the prediction result from BPNN used only the current sensor data as the model input <br> "BPNN_force_signal.xlsx" is the prediction results from BPNN used only the force sensor data as the model input <br> "BPNN_vibration_signal.xlsx" is the prediction result from BPNN used only the vibration sensor data as the model input<br> "ELM.xlsx" is the prediction result from ELM used the combination of all sensors data as the model input <br> "GPR.xlsx" is the prediction result from GPR used the combination of all sensors data as the model input<br> "LASSO.xlsx" is the prediction result from LASSO used the combination of all sensors data as the model input<br> "MLR.xlsx" is the prediction result from MLR used the combination of all sensors data as the model input<br> "SVR.xlsx" is the prediction result from SVR used the combination of all sensors data as the model input<br> "cnn_all_signal.xlsx" is the prediction result from CNN used the combination of all sensors data as the model input <br> "cnn_current.xlsx" is the prediction result from CNN used only the current sensor data as the model input <br> "cnn_force.xlsx" is the prediction results from CNN used only the force sensor data as the model input <br> "cnn_vibration.xlsx" is the prediction result from CNN used only the vibration sensor data as the model input<br> "real_ytest.xlsx" is the real-measured surface roughness data for testing models.</p>
Risk and Equity Metrics for the NYC Flood Risk Digital Twin
<p>These datasets contain the Risk and Equity metrics used to quantify the impact of pluvial flooding in NYC. They are obtained combining several sources (US Census data, New York State Traffic data, etc.) with the NYC Stormwater Flood Map corresponding to an extreme rain event.</p>
Dataset : Towards a Multidimensional Definition of Citizen-Centricity in Digital Government: A Systematic Literature Review
<p>These files contain the raw data used for an article currently under review.</p> <p>The first file contains all the information related to the selection of the studies, while the second contains the data used to analyze the results of the article.</p>
Digitizing Chemical Discovery with a Bayesian Explorer for Interpreting Reactivity Data
<p>Dataset for the work entitled Digitizing Chemical Discovery with a Bayesian Explorer for Interpreting Reactivity Data</p>
Dataset for damage-augmented digital twins towards the automated inspection of buildings
<p>This repository contains the dataset used for computing damage augmented digital twins for buildings via image-based approach. The method that uses this data set was presented in the paper "Damage-augmented digital twins towards the automated inspection of buildings" by Pantoja-Rosero et., al. (2023)" https://doi.org/10.1016/j.autcon.2023.104842</p> <p> </p> <p> </p> <p> </p>
MODERN STUDENT YOUTH AS A CARRIER OF HUMAN CAPITAL IN A DIGITAL SOCIETY
<p>The article examines the specifics of modern student youth as a special social group in a digital society. The article analyzes the main factors influencing the formation of modern youth, which form the basis of the so-called digital generation, and formulates the thesis about the leading role of student youth as a carrier of modern human capital. Based on the results of the research, the author identifies the main trends in the transformation of the worldview of the younger generation, manifested in the views, values, forms and methods of communication of modern Russian students.</p>
Mapping Monasticism: A Digital Approach to the Network of Conques (raw data)
<p>Original dataset used to produce the digital map of the Monastic Network of Conques. The file includes a link to the GMaps, as well as the KMZ file of the map itself.</p>
Emotion Recognition for Affective human digital twin by means of virtual reality enabling technologies
<pre>We introduce a new bimodal dataset recorded during affect elicitation by means of audio-visual stimuli for human emotion recognition based on facial and corporal expressions. Our dataset was collected using three devices: an RGB camera, Kinect 1, and Kinect 2. The Kinect 1 and Kinect 2 sensors provide 121 and 1347 face key points, respectively, offering a more comprehensive analysis of facial expressions. Additionally, for the 2D RGB sequences, we utilized the feature points provided by the open-source OpenFace, which includes 2D 68 facial landmarks. From these landmarks, we selected 26 facial points that were most relevant for our emotion recognition task. To gather the data, we conducted experiments involving 17 participants. We captured both facial and skeleton keypoints, allowing for a comprehensive understanding of the participants' emotional expressions. By combining the RGB and RGB-D data from the various devices, our dataset provides a rich and diverse set of information for human emotion recognition research. This new dataset not only expands the available resources for studying human emotions but also offers a more detailed analysis with the increased number of facial keypoints provided by the Kinect sensors. Researchers can leverage this dataset to develop and evaluate more accurate and robust models for human emotion recognition, ultimately advancing our understanding of how emotions are expressed through facial and corporal cues. Please cite as: K. Amara, O. Kerdjidj and N. Ramzan, "Emotion Recognition for Affective human digital twin by means of virtual reality enabling technologies," in <em>IEEE Access</em>, doi: 10.1109/ACCESS.2023.3285398. </pre> <p> </p> <p>Please state your name, contact details (e-mail), institution, and position, as well as the reason for requesting access to our database.</p> <p>For additional info contact:</p> <p>kahina.amara88@gmail.com or kamara@cdta.dz</p> <p>Naeem.Ramzan@uws.ac.uk</p> <p>okerdjidj@ud.ac.ae</p>
Digital Directory of Irish Publishers
<p>First deliverable of the <a href="http://www.norf.ie">NORF</a>-funded project, <a href="http://www.publishoa.ie">PublishOA.ie</a>, to evaluate the feasibility of establishing a Diamond Open Access publishing platform in Ireland.</p> <p>Created from existing lists and desk research, then followed up by contacting publishers in Ireland to verify details, this <em>Directory</em> lists book and journal publishers on the island of Ireland and should prove a useful resource for authors, publishers, funders, researchers, etc.</p> <p>This version is in Excel format.</p>
Physics-driven universal twin-image removal network for digital in-line holographic microscopy - dataset
<p>Dataset (Matlab files) containing holograms and reference reconstructions employed in:<br> <br> M. Rogalski, P. Arcab, L. Stanaszek, V. Micó, C. Zuo and M. Trusiak, "Physics-driven universal twin-image removal network for digital in-line holographic microscopy", Submitted 2023<br> <br> This dataset should be used together with the codes present at:<br> https://github.com/MRogalski96/UTIRnet</p>
Digital Literacy, Ability and Vulnerability Dataset
<p>Dataset for Digital Literacy, Ability and Vulnerability Dataset</p>
Podcast: Digitization and Research Collaborations. Tobias Hodel, Universität Bern
<p>Wie definiert man die Methodik in den Digital Humanities? Ein Gespräch über interdisziplinären Austausch und digitale Kooperationen im Forschungsbereich.</p> <p>How to define methodology in Digital Humanities? A conversation about interdisciplinary exchange and digital collaborations in the research field.</p> <p>Come si definisce la metodologia nelle Digital Humanities? Una conversazione sullo scambio interdisciplinare e sulle collaborazioni digitali nel campo della ricerca.</p> <p>Comment définir la méthodologie dans les Digital Humanities? Une discussion sur l'échange interdisciplinaire et la coopération numérique dans le domaine de la recherche.</p>
Digitally edited images.
<p>Digitally edited images of male and female models.</p>
Political Participation and Digital Maturity
<p>To discover a correlation between information society and political participation of European Union countries data about the DESI index (Digital Economy and Society Index), parliamentary voter turnout (%) and individuals using the internet for taking part in online consultations or voting (%) were used.</p>
Data Supplement: Dataset with Tweets containing the terms "digital" and "peacebuilding", 03/2006-12/2021
<p>This dataset was developed for the empirical analysis of public social media discourse on the topic of digital peacebuilding. It contains tweets with the terms “digital” and “peacebuilding” posted in the period March 2006 - December 2021. The tweets were collected via the Academic Research API, using the academictwitteR R package. Retweets were excluded from the data collection. Furthermore, Twitter IDs, duplicates and emojis were removed from the data. The data was subsequently coded with the Qualitative Data Analysis (QDA) software 'Atlas.ti'. The coding was carried out in-vivo, using text and GREP search auto-coding. All codes were manually reviewed and then clustered into seven code groups, to which each of the intellectual maneuvers in the article speaks. Given this approach, no code book was necessary. The second sheet (“Code Groups”) contains the codes associated with each code group. The third sheet („Tweets“) contains all tweets and indicates how they have been coded, i.e., 0 means they code has not been assigned, 1 means the code has been assigned. </p>
The Digital Archive as an Inclusive Tool for Knowledge Construction through Design Practices_List of Case studies
<p>Title of the paper: "The Digital Archive as an Inclusive Tool for Knowledge Construction through Design Practices"</p> <p>List of Case studies</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.