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12,393 results for “materiality”
Elaboração de um material educativo para segurança alimentar e nutricional de idosas em vulnerabilidade social
<p><span>O presente material educativo foi composto por três vídeos com duração média de quatro minutos sobre Educação Alimentar e Nutricional para Idosos, cujo objetivo foi fornecer informações práticas e acessíveis sobre hábitos alimentares, dentre eles o consumo de legumes, verduras, frutas e proteínas, fatores condicionantes para o bom estado nutricional. Além de orientar sobre o fracionamento de refeições ao longo do dia, visando atender as necessidades nutricionais especificas das Idosas, considerando as mudanças fisiológicas e metabólicas que ocorrem com o envelhecimento. Assim, por meio dos vídeos, busca-se capacitar idosas a tomarem decisões alimentares mais conscientes e adotarem praticas que possam melhorar sua qualidade de vida.</span></p>
Online material to publication "Exploring the dynamical evolution of Cepheid multiplicity in star clusters and its implications for B-star multiplicity at birth"
<p>The description of the movie can be found in the file movie_description.pdf.</p> <p>The full paper can be found here: https://ui.adsabs.harvard.edu/abs/2024arXiv240907530D/abstract</p>
Data for high-yield atmospheric water capture via bioinspired material segregation
<p>This dataset includes raw data logs of indoor and outdoor water capture tests. The dataset also includes Mathematica code to calculate and generate convection-limited water capture fluxes.</p> <p>The data logs are TSV text files where the columns correspond to time (seconds), wind tunnel temperature (C), wind tunnel humidity (%), humidity setpoint (%), liquid desiccant chamber temperature (C), liquid desiccant chamber humidity (%), measured volume (mL).</p> <p>Links to this data are included in our paper.</p> <div> <div> <div> <p>The Mathematica code relies on external datasets listed in the mapping_plots.nb file</p> </div> </div> </div> <div> <div></div> </div>
The supplemental material to "Mean cold pool size of quasi-equilibrium convection" Part1 and Part 2
<p>The supplemental material to this two-paper series includes a hand-written mathematical derivation note (math_note.pdf), supplemental figures shared by the two parts (supplemental_figures_Parts_I_and_II.pdf), the postprocessing codes (postprocessing codes.zip), the LES namelist file for Bryan Cloud Model 1 (namelist.input), and some LES movies. The movie list is shown below:</p> <p>The movie "<a href="../api/records/10822712/draft/files/potential_temperature_near_surface.avi/content" target="_blank" rel="noopener noreferrer">potential_temperature_near_surface.avi</a>" shows the z=12.5 m potential temperature (unit: K) between t=3 days and t=5 days. Experiments Ev=0.2, 0.5, 1.0, and 2.0 are shown. </p> <p>The movie "<a href="../api/records/10822712/draft/files/w_4km.avi/content" target="_blank" rel="noopener noreferrer">w_4km.avi</a>" shows the z~4 km vertical velocity (unit: m/s) between t=3 days and t=5 days. Experiments Ev=0.2, 0.5, 1.0, and 2.0 are shown. </p> <p>The movie "<a href="../api/records/10822712/draft/files/vapor_0-551m_average.avi/content" target="_blank" rel="noopener noreferrer">vapor_0-551m_average.avi</a>" shows the z=0-551 m vertically averaged water vapor mixing ratio (unit: g/kg) between t=3 days and t=5 days. Experiments Ev=0.2, 0.5, 1.0, and 2.0 are shown. </p> <p>The movie "<a href="https://zenodo.org/api/records/13785498/draft/files/early_vapor_0-551m_average.avi/content" target="_blank" rel="noopener noreferrer">early_vapor_0-551m_average.avi</a>" is the same as "<a href="../api/records/10822712/draft/files/vapor_0-551m_average.avi/content" target="_blank" rel="noopener noreferrer">vapor_0-551m_average.avi</a>", but for the water vapor mixing ratio between t=0 day and t=3 days. It aims to show the initial spin-up stage of the simulation, which some readers might be interested in. </p> <p>The movie "<a href="https://zenodo.org/api/records/13785498/draft/files/large_domain_vapr_551m_average.mp4/content" target="_blank" rel="noopener noreferrer">large_domain_vapr_551m_average.mp4</a>" shows the z=0-551 m vertically averaged vapor mixing ratio (unit: g/kg) between t=3 days and t=5 days, using a large domain size of 144 km x 144 km (not 96 km x 96 km as for other cases) for the Ev=1.0 and 2.0 cases. Only the domain's southwest 96 km x 96 km corner is shown. </p> <p>The LES data, as well as intermediate output files for plotting (some .mat files), are available by contacting the first author Hao Fu via: haofu@uchicago.edu / haofu736@gmail.com </p> <p>Please let us know if you have any questions!</p>
Supplementary Material for the paper "Assessing the Understanding of Expressions: A Qualitative Study of Notional-Machine-Based Exam Questions"
<p>Supplementary Material for the paper "Assessing the Understanding of Expressions: A Qualitative Study of Notional-Machine-Based Exam Questions":</p> <ul> <li>exam_questions.pdf: Complete statement of the 12 exam questions.</li> <li>mistakes.xlsx: Excel sheet with the full comprehensive list detailing all the mistakes and codes that resulted from our analysis.</li> </ul> <p> </p> <p> </p>
Supplemental Online Material for "Comparing the Effects of Euclidean Distance Matching and Dynamic Time Warping in the Clustering of COVID-19 Evolution": Interactive Figures
<p>This repository contains the interactive figures accompanying the manuscript "<em>Comparing the Effects of Euclidean Distance Matching and Dynamic Time Warping in the Clustering of COVID-19 Evolution</em>". These interactive visualizations provide a dynamic exploration of some of the data and results discussed in the paper. The following interactive figures are included:</p> <ul> <li><code>Figure-1.html</code>: Interactive version of Figure 1 from the paper, showing a time series heatmap of the 14-day simple moving average of reported COVID-19 cases for each of Europe's 298 NUTS 2 regions, from 02/10/2020 - 07/12/2020.</li> <li><code>Figure-2.html</code>: Interactive version of Figure 2, which visualizes two heatmap dendrograms showcasing the pairwise distance matrices and hierarchical clustering results for (a) the Euclidean distance and (b) the Dynamic Time Warping distance.</li> <li><code>cluster_maps.html</code>: Interactive cluster maps, allowing for detailed exploration of the clusters discussed in the paper. Users can select between different distance metrics (Euclidean or Dynamic Time Warping) and adjust the number of clusters to visualize, providing greater flexibility in exploring the clustering patterns. This figure is not included as a static figure in the paper but is provided merely as supplemental online material.</li> </ul> <p>These interactive figures are best viewed using a modern web browser (e.g., Chrome, Firefox ...). For all visualizations, upon hovering over the figure, a label appears displaying the NUTS 2 region and the country it is in, providing additional geographic context.</p>
Supplementary materials - Pharyngeal airway changes after functional orthodontic treatment – a retrospective case-control study on a pediatric population
<p>Supplementary data for an article: "Pharyngeal airway changes after functional orthodontic treatment – a retrospective case-control study on a pediatric population"</p>
Supplementary material for the Capse paper
<p>The companion data to the repository that can be used to reproduce all plots from the Capse.jl paper.</p>
Supplementary materials for the Hausfather 2024 review of current policy scenarios
<p>This file contains four tabs:</p> <ul> <li>Review of literature estimates includes the climate uncertainty, emissions uncertainty, and central estimate (when relevant) for various publications examining current policies, 2030 NDCs, other constraints, and net-zero commitments.</li> <li>Summary statistics includes a copy of the first tab with a central estimate calculated in cases where it was not provided by the original source, as well as summary statistics (median, means, p5, p95) each type of scenario.</li> <li>Figure 2 data includes the data plotted in Figure 2 of the paper, which was adapted from Hausfather and Moore 2022</li> <li>Figure 3 data includes the data plotted in Figure 3 of the paper, which was adapted from Venmans and Carr 2023</li> </ul>
Supplementary Material - Dataset for "Automating Quantum Software Maintenance: Flakiness Detection and Root Cause Analysis"
<h2>README</h2> <p>The dataset consists of the following components:<br> <br>- `<strong>prompts.txt</strong>`: This file contains the prompts used for large language models.<br> <br>- `<strong>Dataset</strong>` directory: includes general information about the dataset. Specifically, the `dataset.xlsx` file lists flaky and non-flaky tests, along with their root causes and fix types.<br> <br>- `<strong>Full</strong>` directory contains two subdirectories: `Flaky` and `Non-flaky`. Each of these directories is organized by individual GitHub organization projects, with each project having its list of repository subdirectories. These subdirectories are further divided into “issues” and “pull requests” (PRs).</p> <p><br>- `<strong>Method</strong>` level subdirectory has a similar structure but contains extracted code snippets at the method level instead of full code listings. The `code.diff` file is copied over and left unaltered. </p> <p><br>- <strong>Issue Directories (IRs):</strong> Named with an `issueID` template, each issue directory contains a `log.issue` file that includes the extracted description, comments, and metadata.<br> <br>- <strong>PR Directories (PRs)</strong>: Named using the `prID` template, each PR directory contains the text, comments, and metadata in the `pr.log` file. The text of the associated issue is stored in the `log.issue` file. Code listings are stored in a file with the `.bug` suffix, while the corresponding fixed version is in a `.fix` file. The `code.diff` file contains the patch that transforms the `.bug` version into the `.fix` version.</p> <p><br><strong>Additional notes:</strong><br>Issues with associated pull requests in `dataset.xlsx` are combined into the pull request directory template. If two pull requests are listed for a row, a PR directory is created for each. Due to updates in the extended dataset, some repositories have been renamed or archived, meaning the current repository directory names in `Dataset` will include both the previous and new names if it has been changed (e.g., a repository previously saved as Qiskit/qiskit-terra may now be saved as Qiskit/qiskit following the renaming from qiskit-terra to qiskit).</p> <h2>Directory Structure:</h2> <p><br>├── prompts.txt<br>├── Dataset/<br> └── dataset.xlsx<br>├── Full/<br> ├── Flaky/<br> └── <Organization>/<Repository>/...<br> ├── Non-Flaky/<br> └── <Organization>/<Repository>/...<br>├── Method/<br> ├── Flaky/<br> └── <Organization>/<Repository>/...<br> ├── Non-flaky/<br> └── <Organization>/<Repository>/...</p> <p> </p>
Reconstructing the 2D Material Structure from Diffraction Pattern with Physical-Sensitive Deep Learning
<p>Dataset, saved Models' parameters, and test set</p>
Supplementary Material for "Integrating Security-Enriched Data Flow Diagrams Into Architecture-Based Confidentiality Analysis"
<p>Supplementary material for the paper "Integrating Security-Enriched Data Flow Diagrams Into Architecture-Based Confidentiality Analysis". For more information, please see the README.md. For even more information please visit https://dataflowanalysis.org</p>
FIGURE 4 in New and rare bivalve species for the fauna of the Kuril Islands (northwestern Pacific Ocean): A study of materials collected over 70 years of expeditions (from 1949 to 2019)
FIGURE 4. New and rare bivalve species for the fauna of the Kuril Islands. (A, B) Macoma torelli (Kunashir Island, 220 m, shell length 16.0 mm). (C, D) Kellia comandorica (Urup Island, 20 m, shell length 13.2 mm). (E, F) Kellia kussakini (Urup Island, 10 m, shell length 3.8 mm). (G, H) Adontorhina cyclia (Kunashir Island, 200 m, shell length 2.2 mm). (I–L) Adontorhina inflata (Zelyony Island, 1,742 m): I, exterior view of right valve (shell length 1.4 mm); J–L, scanning electron micrographs: (J) right valve (interior view), (K) both valves (dorsal view; RV up), (L) hinge plate of right valve. (M, P) Netastoma japonicum (South Kuril Strait, 25 m, shell length 12.7 mm). Scale bars: J–L=100 μm.
FIGURE 2 in New and rare bivalve species for the fauna of the Kuril Islands (northwestern Pacific Ocean): A study of materials collected over 70 years of expeditions (from 1949 to 2019)
FIGURE 2. New and rare bivalve species for the fauna of the Kuril Islands. (A, B) Acila divaricata (Kunashir Strait, 200 m, shell length 29.7 mm). (C, D) Acila insignis (Yuri Island, 1000 m, shell length 11.0 mm). (E, F) Nuculana ensiformis (Shikotan Island, 200 m, shell length 22.5 mm). (G, H) Poroleda ushakovi (Shumshu Island, 820 m, shell length 17.1 mm). (I, J) Robaia robai (Kunashir Strait, 300 m, shell length 16.3 mm). (K, L) Yoldia hyperborea (Paramushir Island, 215 m, shell length 19.0 mm). (M, N) Scanning electron micrographs of Huxleyia pentadonta (Paramushir Island, 214 m, shell length 2.3 mm). (O, P) Samacar kurilensis (Iturup Island, 265–270 m, shell length 16.5 mm). (Q, R) Tetrarca boucardi (Shpanberg Strait, 55 m, shell length 20.0 mm). (S, T) Limopsis oliveri (Urup Island, 50 m, shell length 9.0 mm). (U, V) Limopsis vaginata (Iturup Island, 600 m, shell length 26.3 mm).
FIGURE 3 in New and rare bivalve species for the fauna of the Kuril Islands (northwestern Pacific Ocean): A study of materials collected over 70 years of expeditions (from 1949 to 2019)
FIGURE 3. New and rare bivalve species for the fauna of the Kuril Islands. (A, B) Limatula attenuata (Iturup Island, 330 m, shell length 6.6 mm). (C, D) Limatula subauriculata (Iturup Island, 50 m, shell length 4.6 mm). (E, F) Musculus impressus (Urup Island, 123 m, shell length 17.7 mm). (G, H) Parvamussium intuscostatum (Onekotan Island, 146–147 m, shell length 17.2 mm). (I, J) Cardiomya cf. tosaensis (Urup Island, 100 m, shell length 7.8 mm). (K, L) Cetoconcha hyalina (Onekotan Island, 150–198 m, shell length 44.0 mm). (M, N) Dermatomya tenuiconcha (Simushir Island, 100 m, shell length 12.0 mm). (O, P) Poromya castanea (Iturup Island, 290 m, shell length 20.5 mm). (Q, R) Parvithracia sirenkoi (Paramushir Island, 400 m, shell length 7.0 mm). (S, T) Panomya ampla (Onekotan Island, 57 m, shell length 61.6 mm).
Supplementary Material
<p>Supplementary Material of manuscript titled "<strong><span>Investigation of the Influence of Extraction System and Seasonality on the Pharmacological Potentials of <em>Eugenia punicifolia</em> Leaves</span></strong>".</p>
Global CO2 uptake by cement materials accounts 1930-2023
<p>This dataset is associated with the publication on Scientific Data, with the same title.<br>It includes five sections including the model inputs of the estimation models, the simulation results of global CO2 emission and uptake by year, the variables and ranges considered in the uncertainty analyses of the uptake estimation and the corresponding confidence intervals from the analyses. <br>For detailed explanations of these datasets, one should should refer to the original manuscript. </p>
Supplementary Material from: Extreme mantle heterogeneity revealed by geochemical investigation of in-situ lavas at the central Mohns Ridge, Arctic Mid-Ocean Ridges
<p>Geochemical data (major and trace elements + Pb, Sr and Nd isotopes) from the Mohns and Knipovich Ridges generated during the study: Extreme mantle heterogeneity revealed by geochemical investigation of in-situ lavas at the central Mohns Ridge, Arctic Mid-Ocean Ridges</p>
Performance Advancements in P-Type TaFeSb-Based Thermoelectric Materials through Composition and Composite Optimizations
<p>The full data sets for the manuscript "Performance Advancements in P-Type TaFeSb-Based Thermoelectric Materials through Composition and Composite Optimizations" by Naderloo, et al.</p> <p>The paper is published in Energy & Environmental Science: <a title="Link to landing page via DOI" href="https://doi.org/10.1039/D4EE04819A">https://doi.org/10.1039/D4EE04819A</a></p>
Data for "Platform Materials for Moisture-Swing Carbon Capture"
<div> <p>This repository contains data for the manuscript "Platform Materials for Moisture-Swing Carbon Capture" </p> <p> </p> </div>
ScienceDex guides
Understand access before you commit
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.