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2,373 results for “Platform”
Lab Study Dataset: FIDO2 Platform and Roaming Authentication on Smartphones
<p>This record contains the <strong>lab study dataset and evaluation R source code</strong> from the paper "FIDO2 the Rescue? Platform vs. Roaming Authentication on Smartphones" by Leon Würsching*, Florentin Putz* <em>(* = equal contribution)</em>, Steffen Haesler, and Matthias Hollick <em> </em>in Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI ’23).</p> <p>Our pseudonymous <strong>dataset</strong> contains 22 variables for each of our 87 participants in our between-groups lab study. The variables consist of usability and acceptance scores, the adoption likelihood for 11 account types, and 9 control variables including the level of privacy concerns and ATI.</p> <p>Our R Markdown <strong>source code</strong> includes the full reproducible code of our study. This code generates all statistical figures from our paper. The code can also be used to reproduce our quantitative results and tables.</p> <p>Please refer to the README.md file and our paper for further details about the dataset and the lab study.</p> <p> </p> <p>This work has been co-funded by the LOEWE initiative (Hesse, Germany) within the emergenCITY center and the Federal Ministry of Education and Research of Germany in the project Open6GHub (grant number: 16KISK014).</p>
Interview guide from the paper "Act Against the Aggression A Preliminary Model of a Digital Platform Aimed at Cyberaggressions in the Portuguese University Environment"
<p>Interview guide used in the study "Act Against the Aggression A Preliminary Model of a Digital Platform Aimed at Cyberaggressions in the Portuguese University Environment".</p>
Replication Data for: CHEEREIO 1.0: a versatile and user-friendly ensemble-based chemical data assimilation and emissions inversion platform for the GEOS-Chem chemical transport model
<p>This dataset includes three files necessary for understanding CHEEREIO model output in the demo section of my initial submission to GMD for the paper: <em>CHEEREIO 1.0: a versatile and user-friendly ensemble-based chemical data assimilation and emissions inversion platform for the GEOS-Chem chemical transport model.</em> Detailed guides for how to handle these datasets are provided in the <a href="https://cheereio.readthedocs.io/en/latest/Postprocess-workflow.html">CHEEREIO documentation postprocessing page</a>.</p> <ul> <li>control_hemco_diagnostics.nc contains the source-separated prior methane emissions.</li> <li>combined_hemco_diagnostics.nc contains the source-separated and ensemble member separated posterior methane emissions.</li> <li>bigY.pkl contains a Python dictionary which aligns TROPOMI XCH4 with simulated prior and posterior GEOS-Chem XCH4.</li> </ul>
Disposable platform for bacterial lysis and nucleic acid amplification based on a single USB-powered printed circuit board
<p>Recent advances in electronics and microfluidics have enabled several research groups to develop fully integrated, sample-to-result isothermal nucleic acid amplification test (NAAT) platforms for the point of care. However, high component counts and costs have limited translation of these platforms beyond the clinic to low-resource settings—including homes. Many NAATs include complex, multi-component heater electronics based on flex circuits or multiple printed circuit boards (PCBs) to support essential NAAT steps such as lysis, sample deactivation, and nucleic acid amplification. In contrast, current commercial assays for home use, such as those for pregnancy or ovulation that include electronics, typically have just one onboard PCB. This work describes a generalizable strategy to integrate all heaters and the electronics needed to control them onto a single low-cost, USB-powered PCB. We built a multiplexable disposable NAAT ("MD NAAT") platform that applies these principles, integrating small-area heaters that heat small regions to near-boiling (for pathogen lysis and deactivation) and large-area heaters (for amplification) on the same PCB. We show that both classes of heaters have high intra-board and inter-device reproducibility despite only heating a NAAT cartridge from below. We validated the small-area heaters by lysing methicillin-resistant <em>Staphylococcus</em> <em>aureus</em> (MRSA) cells and the large-area heaters by performing two types of isothermal NAATs (isothermal strand displacement amplification (iSDA) and loop-mediated isothermal amplification (LAMP)). These results demonstrate the merit of integrating NAAT heaters and control electronics onto a single printed circuit board and are a step toward translating NAATs to the home.</p>
Publications from government weather and climate authorities on the X platform and replies from citizens in five Brazilian cities during a year between 2021 and 2022
<p>This dataset contains messages published and replies received by government weather and climate authorities on the X (former Twitter) social media platforms. The data comprises government weather and climate authorities for the Brazilian cities of São Paulo, Rio de Janeiro, Belo Horizonte, Porto Alegre, and Belém. Government weather and climate authorities are city hall departments or sectors responsible for informing and keeping the population updated about weather events.</p><p>Publications made by the authority and replies published by citizens to these publications are observed. This data supports the study on the interaction dynamics between the climate authority and citizens over time.</p><p><strong>Data Structure</strong></p><p>Two files are available <strong>publications.csv</strong> and <strong>replies.csv</strong>.</p><p>Each line in the publications' file (<strong>publications.csv</strong>) refers to an authority publication/tweet. For each publication, it is stored the public authority's unique Twitter identifier (<i>AUTHORITY_ID</i>), the tweet unique identifier (<i>TWEET_ID</i>), the Unix timestamp that indicates when it was published (<i>TIMESTAMP</i>), and the text of the publication (<i>TEXT</i>). </p><p>Each line in the replies file (<strong>replies.csv</strong>) is a reply from a citizen to an authority. For each reply, it is stored the authority's unique Twitter identifier (<i>AUTHORITY_ID</i>), the unique identifier of the authority's tweet being replied to (<i>TWEET_ID</i>), the replier masked unique Twitter identifier (<i>AUTHOR_ID</i>), and the reply Unix timestamp (<i>TIMESTAMP</i>) that indicates when it was published.</p><p>All data were collected through the X's application programming interface (API) provided to scientific researchers. Publications and replies were posted by users (authorities and citizens) with public visibility.</p><p><strong>Data Content</strong></p><p>The dataset covers 1-year observation period, starting on July 17, 2021, and ending on June 16, 2022. It contains a total of 10,229 publications and 5,471 replies. The observed authorities are as follows:</p><p> </p><p><strong>City Authority name X handle </strong><i><strong>AUTHORITY_ID</strong></i></p><p>São Paulo Centro de Gerenciamento de Emergências Climáticas da Prefeitura de SP <i>@cge_sp </i>268407434</p><p>Rio de Janeiro Sistema de Alerta localizado no Centro de Operações do Rio (COR) @<i>alertario </i>87487749</p><p>Belo Horizonte Defesa Civil de Belo Horizonte @<i>defesacivilbh </i>837731966</p><p>Porto Alegre Defesa Civil Porto Alegre @<i>defesacivilpoa </i>1037420896473022466</p><p>Belém Defesa Civil de Belém @<i>defesacivilbel </i>1346501728632500225</p><p> </p><p>As weather and climate authorities are government bodies, the whole content of their publications is of public interest according to Brazilian law. Thus, the text messages in their publications on social media are in the public domain and are stored in this dataset. As the data structure describes, text messages of citizens' replies are not stored. According to the terms of use of the X platform, citizen text messages cannot be publicly stored outside the X platform. Such text messages are public on that platform, and, for reproductivity, they can be recollected using the platform web page or API informing the <i>TWEET_ID</i> stored in this dataset.</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>
An unbiased, automated platform for scoring dopaminergic neurodegeneration in C. elegans
<p><em><span>Caenorhabditis elegans</span></em><span> (<em>C. elegans</em>) has served as a simple model organism to study dopaminergic neurodegeneration, as it enables quantitative analysis of cellular and sub-cellular morphologies in live animals. These isogenic nematodes have a rapid life cycle and transparent body, making high-throughput imaging and evaluation of fluorescently tagged neurons possible. However, the current state-of-the-art method for quantifying dopaminergic degeneration requires researchers to manually examine images and score dendrites into groups of varying levels of neurodegeneration severity, which is time-consuming, subject to bias, and limited in data sensitivity. We aim to overcome the pitfalls of manual neuron scoring by developing an automated, unbiased image processing algorithm to quantify dopaminergic neurodegeneration in <em>C. elegans</em>. The algorithm can be used on images acquired with different microscopy setups and only requires two inputs: a maximum projection image of the four cephalic neurons in the <em>C. elegans</em> head and the pixel size of the user's camera. We validate the platform by detecting and quantifying neurodegeneration in nematodes exposed to rotenone, cold shock, and 6-hydroxydopamine using 63x epifluorescence, 63x confocal, and 40x epifluorescence microscopy, respectively. Analysis of tubby mutant worms with altered fat storage showed that, contrary to our hypothesis, increased adiposity did not sensitize to stressor-induced neurodegeneration. We further verify the accuracy of</span><span> the</span><span> algorithm by comparing code-generated, categorical degeneration results with manually scored dendrites of the same experiments. The platform, which detects 19 different metrics of neurodegeneration, can provide comparative insight into how each exposure affects dopaminergic neurodegeneration patterns. </span></p>
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>
Observed ocean surface albedo from a fixed offshore platform
<p>The ocean surface albedo (OSA) is an important parameter in numerical ocean models and air‒sea heat flux calculations. Radiation observations were conducted to study the OSA in the northern South China Sea using a fixed offshore tower-based platform. The platform was located at 21.44° N, 111.39° E, with an average water depth of approximately 16 m. It consisted of a main tower and two auxiliary towers. The auxiliary towers were approximately 6 m from the main tower and their lower edges were approximately 6 m from the mean sea surface.</p> <p>A four-component net radiometer (CNR4) was installed on the lower edge of the southeast auxiliary tower through a 2-m long boom to simultaneously measure the upward and downward broadband solar radiation having spectral bands between 305 and 2800 nm. A bottom-mounted Nortek acoustic Doppler current profiler was used to measure surface waves. Other ancillary meteorological instruments were used to measure meteorological parameters, including wind speed and water vapor pressure.</p> <p>The observation period lasted from September 2017 to December 2018. The measured broadband radiation was collected in 30-min segments. To obtain an accurate and reliable radiation dataset, three specific types of data were removed from the dataset: (1) local afternoon data; (2) data with solar altitude angles < 10°; (3) data with downward solar radiation of < 30 W m<sup>−2</sup>. After this quality control, 2433 segments of data can be used to study the OSA.</p>
Learner Perceptions on Gamifying Active Video Watching Platforms (supplementary material)
<p>This repository contains supplementary material for "Learner Perceptions on Gamifying Active Video Watching Platforms":</p> <ul> <li>Questionnaire.pdf: PDF file containing the survey questions on motivation, experience and perception on gamification.</li> <li>Perception_on_gamification.xlsx: Raw dataset of the survey.</li> </ul>
Archive of ASAPbio's list of preprint servers: policies and practices across platforms
<p>These are the raw data behind ASAPbio's list of of preprint servers, found at https://asapbio.org/preprint-servers</p> <p>An earlier version of this dataset was reported in https://zenodo.org/record/3700874#.ZD2SC3bMIQ8</p>
MMiKG: A Knowledge Graph-based Platform for Path Mining of Microbiota-Mental Diseases Interactions
<p><strong>The original datasets released in MMiKG, containing relevant information like PMID of labels and relations (triples).</strong></p> <p><strong>Background:</strong></p> <p>Gut microbiota has been demonstrated to be crucial in gut-brain axis. In this research, knowledge graphs was leveraged to aggregate and assimilate relevant information on the microbiome-gut-brain axis and its intricate relationships with mental diseases and formed a knowledge graph platform named MMiKG</p> <p> ► <strong>Advantages of MMiKG:</strong></p> <ul> <li> Assist users in semantic search and visualization operations</li> <li> Make the scattered knowledge machine-readable and interpretable</li> <li> Boost users’ confidence in the accuracy of the information</li> <li> Support better decision-making</li> </ul> <p> ► <strong>What users can do with MMiKG:</strong></p> <ul> <li>Integrate diverse resources</li> <li>Infer potential associations between gut microbiota and mental diseases</li> </ul> <p><strong>Tools:</strong></p> <p>MMiKG contains '770' entities and '1,257' triples among them. These items cover '20' common mental illnesses, '270' types of gut microbes, and '480' distinct intermediates.</p> <p> ► <strong>MMiKG's original data includes two folders:</strong></p> <p> ♦ The labels folder:</p> <ul> <li>Present information of each entity’s 'Id', 'Name', 'Degree', 'Type'</li> <li>'Disease.csv', 'Intermediate.csv', 'Microbiota.csv</li> </ul> <p> ♦ The relationships folder: </p> <ul> <li>Present information of 'SourceId', 'TargetId', 'Number', 'Reference PMID'</li> <li>'Disease.csv', 'Intermediate.csv', 'Microbiota.csv' </li> </ul>
The Impact of Digital Platforms on Micro and Small Enterprises (MYPES) in Lima, Peru
<p><strong>Background:</strong> Since the emergence of the internet, the world has become increasingly interconnected and digitized. Digital platforms have emerged as a transformative force that redefines the economy and commerce at large. MYPES in Peru face various challenges and new landscapes characterized by the growing influence of these platforms on their operations and growth opportunities. Therefore, this research aims to examine how digital platforms have provided MYPES with the opportunity to maintain a market presence and understand the challenges MYPES face when using such platforms.</p> <p><strong>Method:</strong> Descriptive study with a quantitative and non-experimental approach. The population consisted of a total of 39,630 companies from the Gamarra Commercial Emporium, and the sample comprised 385 MYPES engaged in clothing sales from the same study location. Infinite population assumptions were used for sample calculation. A survey was administered.</p> <p><strong>Results:</strong> Social media platforms such as Facebook, Instagram, Telegram, WhatsApp, and TikTok were the main platforms used by the studied MYPES (67.5%). 12.8% indicated having an online store, 18.9% had some form of webpage or web platform, and only 0.4% used mobile applications.</p> <p><strong>Conclusion:</strong> In conclusion, most of MYPES have adopted social media as their primary digital platform and recognize its significance in the growth and survival of their businesses.</p>
One-point Integral and Turbulent wind Characteristics at the FINO1 Platform (2007-2008)
<p><strong>Dataset</strong>: One-point Integral and Turbulent wind Characteristics at the FINO1 Platform (2007-2008)</p> <p><strong>Authors:</strong> Cheynet, E.</p> <p><strong>Description:</strong></p> <p>This dataset offers a comprehensive collection of wind measurements derived from continuous sonic anemometer recordings at the FINO1 offshore platform during the years 2007 and 2008. The measurements were conducted to investigate the properties and characteristics of wind turbulence in the marine atmospheric boundary layer, especially in relation to atmospheric stability. The data provide insights that have potential implications for the design and safety of offshore structures, particularly wind turbines, as they relate to wind loads. The database includes aggregated mean flow data alongside one-point turbulent characteristics.</p> <p><strong>Tutorial:</strong></p> <p><a href="https://se.mathworks.com/matlabcentral/fileexchange/134446-offshore-wind-turbulence-characteristics-at-fino1">https://se.mathworks.com/matlabcentral/fileexchange/134446-offshore-wind-turbulence-characteristics-at-fino1</a></p> <p><strong>Content Overview:</strong></p> <ul> <li><strong>Format:</strong> Matlab (.mat) files.</li> <li><strong>Data Duration:</strong> The dataset spans two years, from 2007 to 2008.</li> <li><strong>Volume:</strong> 24 separate .mat files, approximately one file for each month of the two-year period.</li> <li><strong>Measurement Tool:</strong> Sonic anemometer positioned at the FINO1 offshore platform.</li> <li><strong>Primary Features:</strong> Aggregated mean flow and one-point turbulent characteristics.</li> </ul> <p> </p> <p><strong>Relevance and Applications:</strong></p> <ol> <li>Exploration of the validity of various turbulence models (e.g., Kaimal or Mann spectral models) in offshore environments.</li> <li>Study of the single-point auto-spectral and cross-spectral densities of wind turbulence.</li> <li>Assessment of the applicability of certain standards, such as IEC 61400-1 and IEC 61400-3, especially in the context of the North Sea wind turbines.</li> </ol> <p><strong>Literature Related to the Dataset:</strong></p> <ul> <li>Cheynet, E., Jakobsen, J. B., & Obhrai, C. (2017). Spectral characteristics of surface-layer turbulence in the North Sea. Energy Procedia, 137, 414-427. Elsevier.</li> <li>Cheynet, E., Jakobsen, J. B., & Reuder, J. (2018). Velocity spectra and coherence estimates in the marine atmospheric boundary layer. Boundary-layer meteorology, 169(3), 429-460. Springer Netherlands.</li> <li>Cheynet, E. (2019). Influence of the Measurement Height on the Vertical Coherence of Natural Wind. Lecture Notes in Civil Engineering, 27, 207-221. Springer.</li> </ul>
Video for "Outlining of the Open Digital Twin Platform"
<p>Complex simulations and machine-learning models increase in application in research, industry, and governance. However, applying these systems with reasonable accuracy and efficiency requires large-scale efforts of data collection, data transformation, data analysis, and data visualization. At the same time, maintaining the required infrastructure, software, and personnel skyrockets making these tools unavailable to many potential users. The paradigm of the digital twin offers a novel perspective on how to manage the data efficiently and make these systems available more steadily at a lower cost. We introduce the first prototype of the Open Digital Twin Platform (ODTP) that is designed to be openly available to all interested parties to enable a common framework and baseline for digital twin based research. ODTP uses containerization, loose coupling, and micro-services to provide dynamically composable digital twins.<br> ODTP also provides tools for licensing resolution, privacy and access control, and reproducibility. In its first iteration presented here, ODTP implements a common mobility research pipeline of the eqasim pipeline for MATSim. These kind of programs are usually difficult to assemble and use, thus leading to dangerous versions of ``never change a running system''. ODTP converts them into an easy-to-use version making it possible to initiate mobility simulations with one click. ODTP enables the quick adding of relevant data sources and analytical pipelines related to any topic and make them easily usable, accessible and shareable to research, industry, and governance. Thus, ODTP expands the FAIR principle from data to the complete data life cycle.</p>
Categorization of Decentralized Autonomous Organizations in the Aragon platform
<p>Dataset result of the research paper "A Categorization of Decentralized Autonomous Organizations: The Case of the Aragon Platform" published in <em>IEEE Transactions on Computational Social Systems</em>. The paper proposes an empirically grounded categorization of DAOs in terms of their operative domain, purpose, scope, voting processes, and use of crypto-tokens. The categorization was applied to 40 DAO communities hosted in the Aragon platform, analyzing 15 dimensions in each of them. Further details on the variables and the annotation process are described in the paper.</p> <p>Recommended citation for the article: </p> <p>Peña-Calvin, A., Saldivar, J., Arroyo, J., & Hassan, S. (2023). A Categorization of Decentralized Autonomous Organizations: The Case of the Aragon Platform. <em>IEEE Transactions on Computational Social Systems</em>, doi: 10.1109/TCSS.2023.3299254</p> <p>WHAT'S NEW IN THIS VERSION</p> <p>- Readme file. It includes detailed information on the content of the rest of the files.</p> <p>- Erratum corrected in file Dataset - Tokens.csv. Token NU was labelled as TOK-4 and now is labelled as TOK-3.</p>
Brainwaves Monitoring via Human Midbrain Organoids Microphysiological Analysis Platform: MAP
<p>This dataset corresponds to the research manuscript entitled "Brainwaves Monitoring via Human Midbrain Organoids Microphysiological Analysis Platform: MAP"</p>
Data on publication volumes for selected open access journals and platforms
<p>This dataset accompanies the report 'Scenario Modelling for Open Research Europe', prepared for the European Commission's Directorate-General for Research and Innovation by Rob Johnson of Research Consulting, acting in the capacity of an independent expert. The data was extracted from www.lens.org in May 2023 to asset historic patterns of publication growth for a sample of open access journals and platforms.</p>
Replication data for the LEAP-RE RE4AFAGRI Platform: v0.2
<p>Replication data for the LEAP-RE RE4AFAGRI Platform, code and user guide hosted on https://github.com/iiasa/RE4AFAGRI_platform.</p> <p>The current version (0.2) of the data repository contains input data to replicate:</p> <p>- Africa-wide analysis in WaterCROP</p> <p>- Zambia, Rwanda, Kenya, Zimbabwe, and Nigeria pilot country-studies in M-LED</p> <p>- Zambia pilot country-study in OnSSET and NEST</p>
A survey into the contribution and ressources of pathogen data platforms
<p>Aggregated data used to generate the plots in our publication entitled:</p><blockquote><p>A survey into the contribution of regional/national pathogen data platforms and on the resources needed to develop and maintain them</p></blockquote><p><strong>Abstract</strong>:</p><p><strong>Background: </strong>Regional/national SARS-CoV-2 genomic data platforms (DP) have played a key role during the Covid-19 pandemic to centralize data, curate, process and re-share them in a consistent form and anonymized to international repositories. In Europe, several countries were able to establish such infrastructures rapidly and put them in production over the course of 2021, some earlier. </p><p><strong>Methods:</strong> This survey aimed to estimate the effort that was needed to establish and run these DPs during the sequencing peak of the pandemic in 2021, including activities from data curation to data brokering, and what it would take to expand these DPs to other pathogens and antimicrobial resistance from 2023 onwards. </p><p><strong>Results:</strong> Overall, a median of 10 PM were used by each DP over 2021 and a median of 18 PM (per year) would be needed to expand activities from 2023 onwards. This survey shows that short-term funding remains commonplace and a struggle for the majority of DPs. Key supporters and arguments (e.g. centered around efficiency and cost-savings) for public health authorities and research funding bodies have also been identified to help individual data platforms in strengthening their funding proposals. <strong>Conclusions:</strong> Ultimately, we propose that DPs get connected into a supra-national entity to build a stronger case and get access to major infrastructure funding grants at the European level.</p>
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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.