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zenodo32/100

EL MANTENIMIENTO DE UNA COMUNIDAD DIGITAL DE ALTO IMPACTO: EL CASO EMMANUEL CESTARO

<p>Mediante una propuesta cuantitativa se propone dar respuesta a las preguntas de investigaci&oacute;n. Para esta investigaci&oacute;n se plantea el desarrollo de un an&aacute;lisis de contenido de la cuenta de Instagram de Emmanuel Cestaro, un caso de &eacute;xito de mantenimiento de comunidades en Instagram.</p> <p>&nbsp;</p>

opencc-by-4.0Jun 2024View details →
zenodo32/100

Addressing bias in digital cultural heritage collections metadata: the example of the DE-BIAS project

Open the record for dataset details and reuse information.

opencc-by-4.0Jun 2024View details →
zenodo32/100

Biblioshiny Report "Technolog* Digital Economy", database WoS (2000-2023)

<p>Bibliometric analysis of the WoS scientometric database data for the query "Technolog* Digital Economy".&nbsp;</p> <p>Filters:</p> <ul> <li>The country of Russia and publications in Russian were excluded.</li> <li>The year 2024 excluded</li> <li>Document types: Article&nbsp;</li> <li>Research areas: Business Economics or Public Administration or Social Sciences (Other topics)</li> <li>open access</li> </ul> <p>via <strong>Biblioshiny app</strong>&nbsp;</p>

opencc-by-4.0Jun 2024View details →
zenodo32/100

The Role of Creativity, Educational Support, and Self-Efficacy on Digital Entrepreneurial Intention: Insight from Indonesian Students

<p>This material has presented on 2nd International Conference on Advance Research in Social and Economic Science in October 25, 2023.</p>

opencc-by-4.0Jun 2024View details →
zenodo32/100

Evolution of digital consumer behavior: A bibliometric analysis of the impact of social networks on purchase determinations

<p><span>In the current context of a globalized and globalized and highly digitized marketplace, the study of customer behavior has become fundamental to behavior has become fundamental to understanding the complex interactions between social, cultural and commercial between social, cultural and commercial factors that influence purchasing decisions. purchasing decisions. This research aims to analyze the the impact of social media and purchase determinations on customer behavior through a bibliometric behavior through a bibliometric study. A qualitative, descriptive, non-experimental descriptive approach with a non-experimental and longitudinal design, analyzing 1,213 documents 1,213 documents extracted from Scopus, using VOSviewer and Bibliometrix for scientific mapping and bibliometric scientific mapping and bibliometric analysis. The results reveal a rapidly growing field (13.33% per Year field (13.33% per year) with an average of 16.63 citations per document and a 28.77% co-citation rate and 28.77% of international co-authorships. Emerging trends were identified the influence of social networks on purchase intent, the impact of influencers and the importance of social commerce. Semantic an&aacute;lisis semantic analysis highlighted the centrality of terms such as "social media", "consumer behavior" and "purchase intention", "consumer behavior" and "purchase intention". It is concluded that the field is dynamic, interdisciplinary and globally diverse, with a growing integration of technology and consumer behavior. integration of technology and consumer behavior. The implications suggest the need for more sophisticated digital marketing strategies that consider the influence of that consider the influence of social networks, the credibility of influencers and the influencer credibility and trust, and the need for more sophisticated digital marketing strategies that consider the influence of social networks, influencer credibility and trust.</span></p>

opencc-by-4.0Jun 2024View details →
zenodo32/100

Global evolution of educational marketing in the digital age: A bibliometric analysis of its impact on student satisfaction

<p><span>Educational marketing has emerged as a crucial strategy to improve student satisfaction in an increasingly competitive and globalized academic environment. This bibliometric research aimed to analyze the evolution and trends in the scientific literature on educational marketing as a strategy for student satisfaction. A qualitative and descriptive approach with a non-experimental and longitudinal design was used. The study analyzed 201 documents extracted from Scopus, using bibliometric techniques implemented through VOSviewer and Bibliometrix. The results reveal an annual growth of 10.51% in scientific production, with significant contributions from the United States, United Kingdom, Australia and India, as well as a growing participation of Latin American countries. A core of specialized journals leading publication in this field was identified. Keyword co-occurrence analysis highlighted central themes such as higher education, e-learning and student satisfaction. The research shows an expanding interdisciplinary field, with approaches that address internationalization, the use of digital technologies and the personalization of educational services. It is concluded that educational marketing is an effective strategic tool to improve student satisfaction, retention and academic performance, highlighting the need to adapt these strategies to the rapid technological and social changes in the educational sector.</span></p>

opencc-by-4.0Jun 2024View details →
dryad32/100

Data from: The spatiotemporal evolution and formation mechanism of the digital economic gap: Based on the case of China

<p>We analyzed the formation mechanism of digital economic gap (DEG), measured the DEGs at four levels (the gaps in information and communication technology accessibility, application skill, digital economic outcome, and efficiency), and explored its spatiotemporal evolution in China by using DEA–Malmquist index method, Gini Coefficent method, Kernel density, and Geodetector. Data from 263 cities in China between 2011 and 2019 were collected. The results demonstrated that (1) The four levels of DEGs showed different trends. The first-, second- and third- level DEGs showed ceiling effects, and the fourth-level DEG oscillated upward. (2) The distribution location of the four levels of DEGs varied. The first- and second-level DEGs shifted at a stable low degree. The third-level DEG increased steadily and polarized. The fourth-level DEG increased steadily and formed a multi-polarization trend, with one strong polar. (3) The long-term transfer trend of the DEGs at four levels changed little, and showed a phenomenon of "club convergence". (4) As for the formation of DEGs, the first-level DEG was influenced by most factors and was education- and policy-driven; the second-level DEG was profit-driven; the third-level DEG was profit- and education-driven; the fourth-level DEG was human resource-driven.</p>

opencc-zeroJun 2024View details →
zenodo32/100

Digital Transformation to Optimize the BBI (Proudly Made in Indonesia) National Movement for Tourism and Creative Economy Actors in the Borobudur Tourism Area, Salaman District, Magelang

<p>This material has presented on 2nd International Conference on Advanced Research in Engineering and Technology in October 25, 2023.</p>

opencc-by-4.0Jul 2024View details →
zenodo32/100

JDIAZ - Navigating Digital Transformation and Technology Adoption: Data & High RES Images

<p>JDIAZ - Navigating Digital Transformation and Technology Adoption: Data &amp; High RES Images</p> <p><strong>Navigating Digital Transformation and Technology Adoption: A Literature Review from Small and Medium Enterprises in Developing Countries</strong></p>

opencc-by-4.0Jul 2024View details →
zenodo32/100

Replication materials for: Are Large Language Models a Threat to Digital Public Goods? Evidence from Activity on Stack Overflow

<p>These are the replication materials for the paper:<br>Are Large Language Models a Threat to Digital Public Goods? Evidence from Activity on Stack Overflow<br>By: Maria del Rio-Chanona, Nadzeya Laurentsyeva, and Johannes Wachs. &nbsp;<br>Preprint: https://arxiv.org/abs/2307.07367<br>Under Revision for PNAS Nexus</p> <p>&nbsp;</p>

opencc-by-4.0Jul 2024View details →
zenodo32/100

Dataset of Breaking Down Barriers: Exploring the Resistance to Digital Banking Services

<p>Dataset of <strong>Breaking Down Barriers: Exploring the Resistance to Digital Banking Services&nbsp;</strong></p>

opencc-by-4.0Jul 2024View details →
zenodo32/100

A digital twin model of urban utility tunnels and its application:One-dimensional comparison verification

<div> <div> <div> <div> <div>&nbsp;</div> 重点词汇</div> <div> <div>93<em>/</em>5000</div> </div> </div> </div> </div> <div>&nbsp;</div> <div> <div> <div> <div> <div> <div>通用场景</div> <div>&nbsp;</div> </div> </div> </div> </div> <div> <div> <p><span>论文《城市综合管廊数字孪生模型及其应用》中一维综合管廊中天然气浓度分布快速预测模型结果对比</span></p> </div> </div> </div>

openmit-licenseJul 2024View details →
zenodo32/100

Percursos da etnografia digital no estudo com os Mebêngôkre (Kayapó) em tempos pandêmicos

<p>Neste trabalho descrevo brevemente os caminhos percorridos na minha pesquisa de&nbsp;<br>Mestrado sobre os &ldquo;Processos de forma&ccedil;&atilde;o de novas categorias conceituais e as ag&ecirc;ncias&nbsp;<br>lingu&iacute;sticas Meb&ecirc;ng&ocirc;kre Kayap&oacute;&rdquo;135. O estudo &eacute; formado por narrativas autobiogr&aacute;ficas que&nbsp;<br>me situam no contexto da pesquisa e detalham as travessias que me conduziram ao estudo de&nbsp;<br>alguns aspectos da l&iacute;ngua Mẽb&ecirc;ng&ocirc;kre, amparada na antropologia lingu&iacute;stica. Trata-se de um&nbsp;<br>estudo etnogr&aacute;fico que envolveu, di&aacute;logos com interlocutores Kayap&oacute;, diferentes fontes&nbsp;<br>bibliogr&aacute;ficas e de leituras sobre l&iacute;nguas J&ecirc;. Assim, ser&aacute; descrito os atravessamentos da&nbsp;<br>pesquisa devido &agrave; chegada da pandemia e os percursos que o trabalho foi tomando.&nbsp;</p>

opencc-by-4.0Mar 2023View details →
zenodo32/100

Modeling Languages for Digital Twins - A Survey Among the German Automotive Industry

<p>This repository contains the replication package for the paper _Modeling Languages for Digital Twins: A Survey Among the German Automotive Industry_ by J&eacute;r&ocirc;me Pfeiffer, Dominik Fuch&szlig;, Thomas K&uuml;hn, Robin Liebhart, Dirk Neumann, Christer Neim&ouml;ck, Christian Seiler, Anne Koziolek, and Andreas Wortmann.&nbsp;<br>The paper has been submitted to the practice track of &nbsp;[MODELS 2024](https://conf.researchr.org/track/models-2024/models-2024-technical-track#Practice-Track).</p> <h3>Data</h3> <p>This replication package contains all information from the survey:<br>- `results.csv`: A csv version of all data exported from LimeSurvey (German). Personal information from the participants has been removed. This file can be imported to reproduce the extraction results described in our paper.<br>- `survey_german.pdf`: The pdf version of the original survey in German. &nbsp;<br>- `survey_german.md`: A markdown version of the original survey in German.&nbsp;<br>- `survey_english.md`: A markdown version of the survey translated into English.&nbsp;</p> <h3>Selection of participants and distribution</h3> <p>With both versions, the survey can be executed again with a different target audience in English or German. In our case we wanted to reach as much participants from diverse work areas as possible, where we invited the participants by email via an internal mailing list of 189 members of the SofDCar project. &nbsp;To improve the response rate, we implemented two deadline extensions from the initial one-month-long time frame with 2 weeks of additional response time. Together with the deadline extension, we sent a mail to inform and remind the members of the consortium of the survey.</p> <h3>Data extraction</h3> <p>In total, we had 96 participants, of which 43 completed the questionnaire. For incomplete survey responses, we took only the available answers and did not include the missing answers in our data analysis. For data analysis we utilized the commercial Tool IBM SPSS and custom python scripts.</p> <h2>Research Questions&nbsp;</h2> <p>- RQ1: How is the DT understood in the automotive industry?<br>&nbsp; &nbsp; - RQ1.1: For which phases of automotive development are DTs<br>important?<br>&nbsp; &nbsp; - RQ1.2: What are desired properties of DTs?<br>&nbsp; &nbsp; - RQ1.3: What are desired purposes of using DTs?<br>&nbsp; &nbsp; - RQ1.4: How do these purposes change in relation to different phases of automotive development?<br>- RQ2: Which modeling languages and modeling tools are currently employed in the automotive industry?<br>&nbsp; &nbsp; - RQ2.1: Which kinds of models are important during automotive development?<br>&nbsp; &nbsp; - RQ2.2: How important are which models in the phases of automotive development?<br>&nbsp; &nbsp; - RQ2.3: Which tools are used to create and maintain these models?</p>

opencc-by-4.0Jun 2024View details →
zenodo32/100

Data Leveraging Digital Innovation: Enhancing Tourist Intentions through Social Media, Websites, and Mobile App Experiences

Open the record for dataset details and reuse information.

opencc-by-4.0Aug 2024View details →
zenodo32/100

Dataset for "Learning Scene Semantics from Vehicle-centric Data for City-scale Digital Twins", Fürntratt et al.

<p>Dataset for "Learning Scene Semantics from Vehicle-centric Data for City-scale Digital Twins", F&uuml;rntratt et al.</p> <p>Data are anonymized and provided with segmentation mask ground truths.&nbsp;</p>

opencc-by-nc-sa-4.0Jul 2024View details →
zenodo32/100

ICAERUS UC5 - RURAL LOGISTICS sample dataset from STRUMICA, NORTH MACEDONIA. Photogrammetry Orthomosaic and Digital Surface Model (DSM).

<table> <tbody> <tr> <td><strong>FOLDER NAME &nbsp; &nbsp;</strong></td> <td><strong>DESCRIPTION</strong></td> </tr> <tr> <td>3D_Point_cloud</td> <td>Photogrammetry 3D point cloud in LAS format</td> </tr> <tr> <td>Digital_Surface_Model</td> <td>2.5D Digital surface elevation model in GeoJPG resampled by x5</td> </tr> <tr> <td>Orthomosaic-GeoJPG</td> <td>Orthomosaic in GeoJPG format resampled by x5</td> </tr> <tr> <td>Orthomosaic-KMZ_tiles</td> <td>Orthomosaic in GeoJPG format in Google KMZ tiles</td> </tr> <tr> <td>Orthomosaic-OpenStreetMaps</td> <td>Orthomosaic in OpenStreetMasps format</td> </tr> <tr> <td>Raw_Images</td> <td>Initial Images captured by DJI Mavic 3E drone</td> </tr> </tbody> </table>

opencc-by-4.0Jul 2024View details →
zenodo32/100

Development of a digital platform based on Artificial Intelligence for precision citrus farming

<p>The SPIDAP project aims at defining an innovative Decision Support System (DSS) based on<br>advanced sensors that consider hydrological soil conditions (tensiometer), plant phenotype<br>(Plantarray, a functional phenotyping system) and plant needs (bioristor, an in vivo sensor able to<br>continuously and effectively monitor plant water requirements) to increase irrigation water use<br>efficiency of citrus farming and concretely respond to the productive realities of the territory by<br>ensuring crop production and quality..</p>

opencc-by-4.0Jul 2024View details →
zenodo32/100

Supplementary material 2 from: Ströbel B, Schmelzle S, Blüthgen N, Heethoff M (2018) An automated device for the digitization and 3D modelling of insects, combining extended-depth-of-field and all-side multi-view imaging. ZooKeys 759: 1-27. https://doi.org/10.3897/zookeys.759.24584

SV1: EDOF imaging : Explanation note: This video demonstrates the effect of the registered EDOF-calculation.

opencc-zeroMay 2018View details →
zenodo32/100

Supplementary material 1 from: Ströbel B, Schmelzle S, Blüthgen N, Heethoff M (2018) An automated device for the digitization and 3D modelling of insects, combining extended-depth-of-field and all-side multi-view imaging. ZooKeys 759: 1-27. https://doi.org/10.3897/zookeys.759.24584

Technical information : Explanation note: Detailed technical information and additional theoretical background.

opencc-zeroMay 2018View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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