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482 results for “Digital data”
A Scalable Data Management System Data Model facilitating the integration of any inspection system and the automated data digitalization process.
<p>In the context of the EU-funded project PILOTING (No. 871542), a scalable Data Management System (DMS) was deployed and facilitated the easy integration of nine different robotic systems and various payloads and the storing of all the data observations produced during the inspections. In particular, a three-phase methodology was adopted for the creation of the DMS Data Model (DMS-DM) in order to define the architectural design of the DMS. <br> The first phase was to semantically define the entities of the PILOTING ecosystem, identifying assets and activities that were important to the data providers, and including them in the data model design. The second phase was to identify relationships between the entities, focusing on information that must pre-exist for entities to be semantically accurate, hierarchies between entities, especially physical assets, and the data needed to form the inspection plan. For the third phase, the information collected by the previous two stages of the data model construction was used to create the overall data model, taking into consideration the possible integration with third parties and the needs of the I&M Visualization portal. <br> The constructed document is attempted to present the designed Entity-Relationship-Diagram (ERD) of the DMS-DM. Additional definitions of the existing entities and the relations between them are also depicted. </p>
Digital Commensality data-set
<p>The Digital Commensality Data-set consists of facial activity data of 11 pairs of persons sharing a meal online through a videoconferencing software and self-reported qualitative and qualitative measures of their commensal experience (Computer-Mediated Communication questionnaire and Digital Commensality questionnaire). Facial activity data is extracted using the OpenFace tool.</p> <p>If you use this data-set for the uses allowed in the license, e.g., research purposes, please add the following citation:</p> <p>Ceccaldi, E., Niewiadomski, R., Mancini, M., & Volpe, G. (2022). What's on your plate? Collecting multimodal data to understand commensal behavior. <em>Frontiers in Psychology</em>, <em>13</em>.</p> <p>https://doi.org/10.3389/fpsyg.2022.911000</p>
Digital Twin of a Multi-Arm Robot Platform based on Isaac Sim for Synthetic Data Generation
<p>This data set is required by the following repository<br> https://github.com/AISciencePlatform/icra2023_synthetic_data_pretraining_for_robotics</p>
The Hierarchical Task data in Digital Twin Railway Systems
<p>Data sets for simulating hierarchical<strong>-</strong>task scheduling in cloudSim for digital twin railway system, with the number of tasks ranging from 100 to 1500</p>
Machine-actionable data descriptions for Austria's digital landscape model
<p>The digital landscape model (DLM) is a compilation of several data sets that, among other things, form the data basis for official maps. It covers a variety of the 34 themes of the EU directive INSPIRE. The introduction of these themes enriched the metadata and made similar datasets easier to find. Unfortunately, the competent authority (BEV) only provides the associated data descriptions as a PDF export of an Excel spreadsheet without translations. This dataset contains the raw data and visualizations.</p>
Data obtained during classification of intertidal habitats using UAV imagery in the Galapagos Archipelago (Orthophotos, digital elevation models (DEM) and orthophoto-draped 3D models)
<p>In the repository 5 folders exist. 1) Digital elevation models (DEMs), 2) Intertidal habitat map, 3) Othophoto draped 3D models, 4) Orthophotos, and 5) Processing reports. The data has been collected in Puerto Ayora at Santa Cruz in August 2017, the most urbanized island of the Galapagos Archipelago. The purpose of this study was to investigate the image classification opportunities for these intertidal habitats using Uncrewed Aerial Vehicle (UAV) imagery. This dataset is cited in an open-access publication: https://doi.org/10.3390/drones7070416. </p>
Data for study "Digital tools for innovative higher education teaching - a Scoping Review of Empirical Studies".
<p>The goal of this research is to point out, by a scoping review of the papers published between 2020 and 2023, the digital tools used in the teaching process at the higher education level. The dataset was collected using Web of Science and Scopus databases.</p> <p>The dataset contains the following elements:</p> <ol> <li>paper details (Authors, Publication Year, Article Title, DOI),</li> <li>OECD classification,</li> <li>teaching tool assigned to paper.</li> </ol>
Data for: The public sphere as a normative ideal for public communications: From mass media to digital platforms
<p><span>Public sphere is a normative concept that has long been associated with traditional media; however, its validity and feasibility is tested under the digital media age. Implications needs to be valued under the growing concern over trust or mistrust against the social media, where 'mediasphere' became more relevant than 'public sphere'. This study employs systematic literature review as the main research approach, sampling from 7449 papers to 535 corpus, to investigate discussions of public sphere under the relevance of trust communications. Findings suggest that the term 'public sphere' has increased since 2017, with an explicit correlation with trust in media more broadly. </span></p>
BIG DATA ANALYTICS IN DIGITAL HUMAN RESOURCES MANAGEMENT: IMPACT ON THE RECRUITMENT PROCESS
<p>This study investigates how HR employees experience the big data phenomenon in the recruitment function of HRM and how their perceptions of the phenomenon have evolved. This study also examines how BD will affect organizational and HRM and how it can be improved in other functions of HR. In this exploratory study, which comprehensively addresses the BD phenomenon in HRM, the phenomenological design approach, one of the qualitative research methods, was applied to test the research questions and a semi-structured interview form was used for research data. Using the snowball sampling method, in-depth interviews were conducted with 10 HR employees working in large and semi-structured organizations in Turkey and the interviews were analyzed with MAXQDA 20. The findings show that HRM employees are aware of BD. On the other hand, it is understood that BD technologies provide easy accessibility in recruitment, offer a strategic competitive advantage, and enable more effective management of information management, which saves HR employees' work in a facilitating way. They benefit from technology as a decision support assistant. Finally, the research results provide theoretical and practical implications for future researchers and practitioners for the development and effective use of BD technology in the field of HRM.</p>
Comparison tables for evaluating FAIR Digital Object and Linked Data
<p>RO-Crate and tables from the paper "<em>Evaluating FAIR Digital Object and Linked Data as distributed object systems</em>" <a href="https://doi.org/10.48550/arXiv.2306.07436">https://doi.org/10.48550/arXiv.2306.07436</a></p> <p>We systematically evaluate FDO and its implementations as a global distributed object system, by using five different conceptual frameworks that cover interoperability, middleware, FAIR principles, EOSC requirements and FDO guidelines themself.</p> <ul> <li>table1.html<br> Considering FDO and Web according to the quality levels of the Interoperability Framework for Fast Data (Delgado 2016)</li> <li> <p>table2.html<br> Mapping the Metamodel concepts from the Interoperability Framework for Fast Data (Delgado 2016) to equivalent concepts for FDO and Web.</p> </li> <li> <p>table3.html<br> Checking FDO guidelines (Bonino et al. 2019; Anders et al. 2023) against its current implementations as DOIP (DONA 2018) and Linked Data Platform (LDP) (Bonino da Silva Santos, Guizzardi, and Sales 2022), with suggestions for required additions</p> </li> <li> <p>table4.html<br> Comparing FAIR Digital Object (with the DOIP 2.0 protocol (DONA 2018)) and Web technologies (using Linked Data) as middleware infrastructures (Zarras 2004)</p> </li> <li> <p>table5.html</p> <p>Assessing RDA’s FAIR Data Maturity Model (FAIR Data Maturity Model Working Group 2020; Bahim et al. 2020) (first 2 columns) against the FDO guidelines (Bonino et al. 2019), FDO implemented with the protocol DOIPv2 (DONA 2018), Linked Data Platform (LDP) (Bonino da Silva Santos, Guizzardi, and Sales 2022) and examples from Linked Data practices in general. (— indicates Unspecified, may be possible with additional conventions)</p> </li> </ul> <p>A web rendering of this RO-Crate is available at <a href="https://w3id.org/ro/doi/10.5281/zenodo.8075229">https://w3id.org/ro/doi/10.5281/zenodo.8075229</a></p>
Data and Statistics for the SLR entitled "Ontologies in Digital Twins: A Systematic Literature Review"
<p>Data and statistics that are produced as part of a Systematic Literature Review (SLR) entitled "Ontologies in Digital Twins: A Systematic Literature Review". The SLR will be submitted to Future Generation Computer System journal's <a href="https://journals.elsevier.com/future-generation-computer-systems%20/call-for-papers/special-issue-on-digital-twin-for-future-networks-and-emerging-iot-applications">Special Issue </a>on Digital Twin for Future Networks and Emerging IoT Applications.</p> <p>It consists of a set of excel sheets that includes a list of reviewed articles and their analysis. A description of what each sheet contains is given below:</p> <table> <tbody> <tr> <td><strong>Sheet Name</strong></td> <td><strong>Description</strong></td> </tr> <tr> <td>Search Statistics</td> <td>List of research databases, search tools, search queries and number of gathered results.</td> </tr> <tr> <td>Unfiltered Paper List</td> <td>List of papers that are initially collected as a result of the paper identification phase.</td> </tr> <tr> <td>Removed Duplicates</td> <td>List of papers after removing duplicates</td> </tr> <tr> <td>Marked Non-relevants (Round 1)</td> <td>Marking papers as relevant or non-relevant based on titles, abstracts and skimming</td> </tr> <tr> <td>Marked Non-relevants (Round 2)</td> <td>Identification of relevant papers by exhaustive reading</td> </tr> <tr> <td>Final Table</td> <td>Final list of table with analysis results</td> </tr> <tr> <td>Statistics</td> <td>Statistics based on the analysis results</td> </tr> </tbody> </table> <p><strong>Acknowledgement: </strong>This work has received support from The Dutch Research Council (NWO), in the scope of Digital Twin for Evolutionary Changes in water networks (DiTEC) project, file number 19454.</p>
Data from: Drop it all: Extraction-free detection of non-indigenous marine species through optimized direct-droplet digital PCR
<p>Molecular biosecurity surveillance programs increasingly use environmental DNA (eDNA) for detecting marine non-indigenous species (NIS). However, the current molecular detection workflow is cumbersome, prone to errors and delays, and is limited in providing knowledge about eDNA beyond the spatial and temporal extent of the sampling. These limitations can hinder management efforts and restrict the "opportunity window" for a rapid response to new marine NIS incursions. Emerging innovative field-deployable digital droplet PCR (ddPCR) systems offer improved workflow efficiency by autonomously analyzing targeted free-floating extra-cellular eDNA (free-eDNA) signals. Despite their potential, these systems have not been tested in marine environments. Thus, an aquarium study was conducted with three distinct marine NIS: <span>the Mediterranean fanworm <em>Sabella spallanzanii</em>, the ascidian clubbed tunicate <em>Styela clava</em>, and the brown bryozoan <em>Bugula neritina</em></span> to evaluate the detectability of free-eDNA in seawater. The detectability of targeted free-eDNA was assessed by directly analyzing aquarium water samples using an optimized species-specific ddPCR assay, without filtration or DNA extraction, so-called, "direct-ddPCR". The results demonstrated the consistent detection of <em>Sabella spallanzanii</em> and <em>Bugula neritina</em> free-eDNA when these organisms were present in high abundance. Once organisms were removed, the free-eDNA signal exponentially declined, noting that free-eDNA persisted between 24-72 hours. Results indicate that organism biomass, specimen characteristics (e.g., stress and viability), and species-specific biological differences may influence free-eDNA detectability. These results are critical for implementing <em>in-situ</em> nucleic acid automated continuous sensing systems for marine biosurveillance, enabling point-of-need detection and <span>rapid management response to biosecurity threats. </span></p>
From analogue to digital data: tools and methods
<p>This recording took place during the DHCH2023 event in Rome on June 5-7 in 2023.</p> <p>This event focuses on data science in the arts and the humanities. Flagship projects about text recognition, accessibility and digital sustainability of cultural heritage will be presented, and state-of-the-art methods in regard to 3D digitization will be introduced. The inalienable benefits of this research are explored, and the potential of these interventions is examined. And what about common criticism? </p> <p>The DHCH initiative provides a network to discuss the rich aspects of Digital Humanities, open up the perspective to the wide horizon of digital practices and support digital humanities approaches in arts, humanities and cultural heritage. The interdisciplinary digital humanities event DHCH@ISR brings together international experts, doctoral students, advanced researchers, and cultural heritage institutions. (<a href="http://dh-ch.ch">www.dh-ch.ch</a>)</p>
Digital research data from: Magnesium activation affects the properties and phosphate sorption capacity of poultry litter biochar
<p>This is digital research data corresponding to a published manuscript, <em>Magnesium activation affects the properties and phosphate sorption capacity of poultry litter biochar</em>. Biochar 5:64. https://doi.org/10.1007/s42773-023-00263-5. </p> <p>Biochars with a high affinity for phosphorus (P) are promising soil amendments for reducing P in agricultural runoff. Poultry litter (PL) is an abundant biochar feedstock. However, PL-derived biochars are typically high in soluble P and therefore require chemical modification to become effective P sorbents. This study investigated the effect of magnesium (Mg) activation on extractable P (EP) and P sorption capacities of PL-derived biochars. Biochar was produced at 500–900 °C from PL activated with 0–1 M Mg. Three differentially aged PL feedstocks were evaluated (1-, 3–5-, and 7–9-year-old). </p>
Digital Data Linkage and Scheduling to Track Pregnancy With or Without Community Data Use to Increase Antenatal Clinic Uptake in Western Kenya.
ClinicalTrials.gov study NCT05929586. IPD Sharing: YES. Countries: 1. Publications: 0.
FitLink: Improving Weight Loss Maintenance by Using Digital Data to Provide Support and Accountability
ClinicalTrials.gov study NCT03337139. IPD Sharing: Not stated. Countries: 1. Publications: 2.
LeaData: a novel reference data of digital microscopic leather images for automatic species identification
Open the record for dataset details and reuse information.
Data from: Standing giants: A digital biomechanical model for bipedal postures in sauropod dinosaurs
Open the record for dataset details and reuse information.
Data from: a physics-based digital twin for model predictive control of autonomous unmanned aerial vehicle landing
Open the record for dataset details and reuse information.
Data from: Human face-off: a new method for mapping evolutionary rates on three-dimensional digital models
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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.