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3,172 results for “public”
Data used in: Born rule as a test of the accuracy of a public quantum computer
<p>A data and scripts used during the preparation of <em>Born rule as a test of the accuracy of a public quantum computer</em>.</p>
#Coronavirus on TikTok: User engagement with misinformation as a potential threat to public health behavior
<p><strong>Background:</strong> COVID-related misinformation is prevalent online, including on social media. The purpose of this study was to explore factors associated with user engagement with COVID-related misinformation on the social media platform, TikTok.</p> <p><strong>Methods:</strong> A sample of TikTok videos associated with the hashtag #coronavirus were downloaded on September 20, 2020. Misinformation was evaluated on a scale (low, medium, high) using a codebook developed by experts in infectious diseases. Multivariable modeling was used to evaluate factors associated with number of views and presence of user comments indicating intention to change behavior.</p> <p><strong>Results:</strong> 166 TikTok videos were identified. Moderate misinformation was present in 36 (22%) videos, and high-level misinformation was present in 11 (7%). After controlling for characteristics and content, videos containing moderate misinformation were less likely to generate a user response indicating intended behavior change. By contrast, videos containing high-level misinformation were less likely to be viewed but demonstrated a non-significant trend towards higher engagement among viewers.</p> <p><strong>Conclusions:</strong> COVID-related misinformation is less frequently viewed on TikTok but more likely to engage viewers. Public health authorities can combat misinformation on social media by posting content of their own. </p>
Data for publication "Surface tension models for binary aqueous solutions: A review and intercomparison"
<p>This repository contains the data of the publication:</p> <p>Title: "Surface tension models for binary aqueous solutions: A review and intercomparison"<br> Authors: Judith Kleinheins, Nadia Shardt, Manuella el Haber, Corinne Ferronato, Barbara Nozière, Thomas Peter, and Claudia Marcolli<br> Date: 2023</p> <p>Abstract: The liquid–air surface tension of aqueous solutions is a fundamental quantity in multi-phase thermodynamics and fluid dynamics and thus relevant in many scientific and engineering fields. Various models have been proposed for its quantitative description. This Perspective gives an overview of the most popular models and their ability to reproduce experimental data. In addition, we propose a new model based on the logistic function which reproduces sigmoidal curve shapes (Sigmoid model) to<br> empirically fit experimental surface tension data. All models were tested on ten binary aqueous solutions of electrolytes and organic molecules. The surface tension of weakly surface active substances is well reproduced by all models. In contrast, only a few models successfully modelled the surface tension of aqueous solutions with strongly surface-active substances. For substances with a solubility limit, usually no experimental data is available for the surface tension of supersaturated solutions and the pure liquid solute. We discuss ways in which these can be estimated and emphasize the need for further research. The newly developed Sigmoid model best reproduces the surface tension of all tested solutions and can be recommended as a model for a broad range of substances and over the entire concentration range.</p>
Dataset for publication: ExTrack characterizes transition kinetics and diffusion in noisy single-particle tracks
<p>Dataset related to article </p> <p>Simon, F., J.-Y. Tinevez, S. van Teeffelen (2023) ExTrack characterizes transition kinetics and diffusion in noisy single-particle tracks. Journal of Cell Biology</p> <p>Movies: example movies for PBP1b and RodZ. G0 = 370% expression level, G1 = 130% expression level, G2 = 30% expression level.</p> <p>Tracks: resulting tracks from the replicates, each replicate is composed of several movies (one xml file per movie). G0 = 370% expression level, G1 = 130% expression level, G2 = 30% expression level.</p> <p>See the material and method section for more details on the experimental conditions and the analysis pipeline.<br> </p>
Dataset related to the publication "Recent advances in Fabry-Perot-based refractometry utilizing gas modulation for assessment of pressureDataset related to the publication"
<p>The data set consists of; The published paper, all figures that present measurement or simulation data in .png and .fig format and the underlying data plotted in the figures in text format. The published plots were generated from the fig files. The text files were generated by reading the plotted data from the fig files. The files are named Fig_XX were XX corresponds to the figure number in the publication. The format of the text file is as follows. Before every data set there is a header consisting of; The number of the subplot where the data is plotted (Plot: XX), the number of the data set in the sub plot (DataSet: XX), and the color of the line or marker in the plot (Color: XX). The description of what each color represents can be found in the publication.</p>
Dataset related to the publication "In situ determination of the penetration depth of mirrors in Fabry-Perot refractometers and its influence on assessment of refractivity and pressure"
<p>The data set consists of; The published paper, all figures that present measurement or simulation data in .png and .fig format and the underlying data plotted in the figures in text format. The published plots were generated from the fig files. The text files were generated by reading the plotted data from the fig files. The files are named Fig_XX were XX corresponds to the figure number in the publication. The format of the text file is as follows. Before every data set there is a header consisting of; The number of the subplot where the data is plotted (Plot: XX), the number of the data set in the sub plot (DataSet: XX), and the color of the line or marker in the plot (Color: XX). The description of what each color represents can be found in the publication.</p>
Dataset related to the publication "Thermodynamic effects in a gas modulatedInvar-based dual Fabry–Pérot cavityrefractometer"
<p>The data set consists of; The published paper, all figures that present measurement or simulation data in .png and .fig format and the underlying data plotted in the figures in text format. The published plots were generated from the fig files. The text files were generated by reading the plotted data from the fig files. The files are named Fig_XX were XX corresponds to the figure number in the publication. The format of the text file is as follows. Before every data set there is a header consisting of; The number of the subplot where the data is plotted (Plot: XX), the number of the data set in the sub plot (DataSet: XX), and the color of the line or marker in the plot (Color: XX). The description of what each color represents can be found in the publication.</p>
Dataset related to the publication "Optical realization of the pascal - Characterization of two gas modulated refractometers"
<p>The data set consists of; The published paper, all figures that present measurement or simulation data in .png and .fig format and the underlying data plotted in the figures in text format. The published plots were generated from the fig files. The text files were generated by reading the plotted data from the fig files. The files are named Fig_XX were XX corresponds to the figure number in the publication. The format of the text file is as follows. Before every data set there is a header consisting of; The number of the subplot where the data is plotted (Plot: XX), the number of the data set in the sub plot (DataSet: XX), and the color of the line or marker in the plot (Color: XX). The description of what each color represents can be found in the publication.</p>
Dataset related to the publication "An optical pascal in Sweden"
<p>The data set consists of; The published paper, all figures that present measurement or simulation data in .png and .fig format and the underlying data plotted in the figures in text format. The published plots were generated from the fig files. The text files were generated by reading the plotted data from the fig files. The files are named Fig_XX were XX corresponds to the figure number in the publication. The format of the text file is as follows. Before every data set there is a header consisting of; The number of the subplot where the data is plotted (Plot: XX), the number of the data set in the sub plot (DataSet: XX), and the color of the line or marker in the plot (Color: XX). The description of what each color represents can be found in the publication.</p>
Dataset related to the publication "Ability of gas modulation to reduce the pickup of drifts in refractometry"
<p>The data set consists of; The published paper, all figures that present measurement or simulation data in .png and .fig format and the underlying data plotted in the figures in text format. The published plots were generated from the fig files. The text files were generated by reading the plotted data from the fig files. The files are named Fig_XX were XX corresponds to the figure number in the publication. The format of the text file is as follows. Before every data set there is a header consisting of; The number of the subplot where the data is plotted (Plot: XX), the number of the data set in the sub plot (DataSet: XX), and the color of the line or marker in the plot (Color: XX). The description of what each color represents can be found in the publication.</p>
Dataset related to the publication "The Short-Term Performances of Two Independent Gas Modulated Refractometers for Pressure Assessments"
<p>The data set consists of; The published paper, all figures that present measurement or simulation data in .png and .fig format and the underlying data plotted in the figures in text format. The published plots were generated from the fig files. The text files were generated by reading the plotted data from the fig files. The files are named Fig_XX were XX corresponds to the figure number in the publication. The format of the text file is as follows. Before every data set there is a header consisting of; The number of the subplot where the data is plotted (Plot: XX), the number of the data set in the sub plot (DataSet: XX), and the color of the line or marker in the plot (Color: XX). The description of what each color represents can be found in the publication.</p>
Dataset related to the publication "Simulation of pressure-induced cavity deformation – the 18SIB04 Quantumpascal EMPIR project"
<p>The data set consists of; The published paper, all figures that present measurement or simulation data in .png and .fig format and the underlying data plotted in the figures in text format. The published plots were generated from the fig files. The text files were generated by reading the plotted data from the fig files. The files are named Fig_XX were XX corresponds to the figure number in the publication. The format of the text file is as follows. Before every data set there is a header consisting of; The number of the subplot where the data is plotted (Plot: XX), the number of the data set in the sub plot (DataSet: XX), and the color of the line or marker in the plot (Color: XX). The description of what each color represents can be found in the publication.</p>
Dataset related to the publication "An invar-based fabry-perot cavity refractometer with a gallium fixed-point cell for assessment of pressure"
<p>The data set consists of; The published paper, all figures that present measurement or simulation data in .png and .fig format and the underlying data plotted in the figures in text format. The published plots were generated from the fig files. The text files were generated by reading the plotted data from the fig files. The files are named Fig_XX were XX corresponds to the figure number in the publication. The format of the text file is as follows. Before every data set there is a header consisting of; The number of the subplot where the data is plotted (Plot: XX), the number of the data set in the sub plot (DataSet: XX), and the color of the line or marker in the plot (Color: XX). The description of what each color represents can be found in the publication.</p>
Scrub Typhus Public Engagement in Northern Thailand - The voice of participants
<p>Scrub Typhus is a potentially deadly febrile disease that is very common in rural Southeast Asia. The population at risk has a low awareness of this disease, which complicates prevention and management. Therefore, between June and September 2020, Chiangrai Clinical Research Unit (CCRU), part of the Mahidol Oxford Tropical Medicine Research Network, together with the Primary Care Department of Chiangrai Prachanukroh Hospital carried out a series of public engagement activities in Chiangrai, northern Thailand with community health volunteers and healthcare workers in primary care units to increase disease knowledge and awareness and obtain feedback to improve future activities. Participants went on to train community members, increasing awareness and promoting preventive behaviours directly in the communities. In the video we collected interviews with participants and other stakeholders reflecting on their experience.</p>
Examining the Influence of Focal Point Location on Heat Transfer Dynamics in Phase Change Material: A Dataset Publication
<p>Dataset including experimental data from small-scale solar facade module that consists of several components: Fresnel lens; cone-shaped air gap; aerogel (semi-transparent) as insulation layer; PCM container. Variations of the experimental settings in test setups are different cone diameter (2, 3 and 4 cm) and insulation layer thickness is (3,5 and 7cm). Nine different compositions were tested in laboratory to evaluate the ompact of focal point location. The focal point has been described with three different values that reflect its location on the inner and outer surfaces and in the middle of the PCM container. The corresponding figures can be found in the paper The Effect of Fresnel Lens Focal Point Location on Heat Transfer in Phase Change Material (PCM) Enhanced Dynamic Solar Facade.</p> <p>This study has been supported by Fundamental and Applied Research project ‘Smart building EnVElope with solaR Energy STorage (EVEREST)’, project No. lzp-2019/1-0363, funded by the Latvian Council of Science.</p> <p> </p>
Data for the publication of the SSI Weakness Identification Framework (SWIF)
<p>This is a supplementary data for an article submitted to a journal. There are several files, including:</p> <ul> <li><em>corpus.xml</em>: This is a dataset file for the weakness entry corpus retrieved from the CWE database.</li> <li><em>queries.xml</em>: This is an input file listing a list of SSI functional requirements used in the experiments.</li> <li><em>cdkg.xml</em>: This is the pre-defined cross-domain transfer knowledge graph (CTKG).</li> <li><em>SSI-Specific Weakness Justification.xlsx</em> - This is the justification for the determination of valid SSI-specific weakness, which is the full results for the evaluation of the validity of the identified SSI-specific weaknesses.</li> <li><em>Truth - Summary.xlsx</em>: This file is a spreadsheet that summarize the collected ground truth from the three participants.</li> <li><em>truth.csv:</em> This is a dataset file of the ground truth observed by an experienced system analyst.</li> </ul>
Dataset related to publication "Improved acoustic thermometry for long-distance temperature measurements"
<p>The zip folder contains dataset used in paper "Improved acoustic thermometry for long-distance temperature measurements" to be published in <em>Sensors </em><strong>2023</strong><em>, 23. </em>Two txt files are provided to explain the content of the csv files.</p> <p>The data were produced within the EMPIR project 17IND03 LaVA, Large Volume Metrology Application.</p>
A crowd clustering prediction and captioning technique for public health emergencies
<p>Data set used to implement the project <strong>A crowd clustering prediction and captioning technique for public health emergencies crowd clustering prediction and captioning technique for public health emergencies</strong></p>
98 selected publications analysed in-depth in the context of a systematic literature review on Computational Thinking in compulsory education
<p>This is the list of the <strong>98 publications from between 2016 and 2021 </strong>analysed in-depth through a review matrix in the context of the <strong>"</strong><a href="https://publications.jrc.ec.europa.eu/repository/handle/JRC128347">Reviewing Computational Thinking in Compulsory Education: State of Play and</a> <a href="https://publications.jrc.ec.europa.eu/repository/handle/JRC128347"> Practices from the Field</a><strong>"</strong> <strong>research study.</strong> The <a href="https://computhink2study.eu/">study</a> was designed, funded, and followed by the European Commission’s Joint Research Centre (JRC) to investigate <strong>how Computational Thinking (CT) is currently positioned within compulsory school education in Europe’s various Member States, as well as outside the EU</strong>. The study was carried out from April to December 2021 by the Institute for Educational Technology of the Italian National Research Council (CNR-ITD), together with European Schoolnet (EUN) and Vilnius University (VU).</p> <p>Bocconi, S., Chioccariello, A., Kampylis, P., Dagienė, V., Wastiau, P., Engelhardt, K., Earp, J., Horvath, M.A., Jasutė, E., Malagoli, C., Masiulionytė-Dagienė, V., & Stupurienė, G. (2022). <em>Reviewing Computational Thinking in Compulsory Education</em>. Publications Office of the European Union. <a href="https://doi.org/10.2760/126955">https://doi.org/10.2760/126955</a></p> <p> </p>
NMR Relaxometry data for publication "Engineered Nonviral Protein Cages Modified for MR Imaging"
<p>NMRD profiles collected with field-cycling NMR relaxometry of a water solution of Gd-C4-IA, and of AaLS-13 and OP protein cages labeled with the gadolinium(III) complex.</p> <p>Published in: https://doi.org/10.1021/acsabm.2c00892</p> <p>NMRD data acquisition and analysis was performed with the support of the PRIN 2017A2KEPL project “Rationally designed nanogels embedding paramagnetic ions as MRI. probes”, and the European Commision through H2020 FET-Open project HIRES-MULTIDYN<br> award no. 899683 and H2020 INFRAIA iNEXT-Discovery (Structural Biology Research Infrastructures for Translational Research and Discovery) award no. 871037.</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.