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15,733 results for “article”
Dataset for article 'How users' knowledge of advertisements influences their viewing and selection behaviour in search engines'
<p>This study examines how users’ understanding of search-based advertising influences search results viewing behaviour the PC and the smartphone. To investigate this, we used a mix of methods consisting of interview, eye-tracking experiment and questionnaire with n=100 subjects. We show that participants with a low level of knowledge on search advertising are more likely to click on ads than subjects with a high level of knowledge. Moreover, subjects with little knowledge show less willingness to scroll down to the organic results. Regarding the device, there are significant differences in viewing behaviour. These can be attributed to the influence of the direct visibility of search results on both devices tested. We recommend, depending on the device, that advertisers ensure their ads appear in the instantly visible area ("above the fold"). Future studies should investigate the motivations of searchers when clicking on ads.</p>
Data for article "Synthesis of Tetraarylethene Luminogens by C‐H Vinylation of Aromatic Compounds with Triazenes"
<p>This upload contains NMR, UV-vis, fluorescence and X-Ray diffraction data for article "Synthesis of Tetraarylethene Luminogens by C‐H Vinylation of Aromatic Compounds with Triazenes", Suleymanov et al. <em>Angew. Chem. Int. Ed </em><strong>2019 </strong>(DOI: <a href="https://doi.org/10.1002/anie.201908755">10.1002/anie.201908755</a>).</p>
InCLosure Code for Guaranteed Enclosures Under Interval Dependency: Supplementary Material for Article "A Logical Formalization of the Notion of Interval Dependency: Towards Reliable Intervalizations of Quantifiable Uncertainties"
<p>InCLosure Input and Output Files for Guaranteed Enclosures Under Interval Dependency: Supplementary Material for Article "A Logical Formalization of the Notion of Interval Dependency: Towards Reliable Intervalizations of Quantifiable Uncertainties", Online Mathematics Journal, July 2019. Download latest release of InCLosure via <a href="https://doi.org/10.5281/zenodo.2702404">https://doi.org/10.5281/zenodo.2702404</a></p>
Dataset used in the article: Cunico, G., Aivazidou, E., Mollona, E. (2019), "European Cohesion Policy performance and citizens' awareness: A holistic System Dynamics framework", Investigaciones Regionales – Journal of Regional Research (In Press)
<p>In the context of the abovementioned article, interviews with experts about EU funding, as well as a workshop, were performed to find any missing factors or links in the conceptual model developed. This dataset provides detailed information about the interviews and the workshop. The related research is conducted in the context of the Horizon 2020 project PERCEIVE (www.perceiveproject.eu).</p>
Supplemental Material to Article "Development of thermal residual stresses during manufacture of wind turbine blades"
<p>This set supplements the figure data to the article "Development of thermal residual stresses during manufacture of wind turbine blades", DOI: .</p>
Data supplementing the article "Diatom DNA metabarcoding for biomonitoring : strategies to avoid major taxonomical and bioinformatical biases limiting molecular indices capacities" K. Tapolczai, F. Keck, A. Bouchez, F. Rimet, M. Kahlert and V. Vasselon submitted to "Frontiers in Ecology and Evolution" journal
<p>These data supplement the article "Diatom DNA metabarcoding for biomonitoring : strategies to avoid major taxonomical and bioinformatical biases limiting molecular indices capacities" K. Tapolczai, F. Keck, A. Bouchez, F. Rimet, M. Kahlert and V. Vasselon submitted to "Frontiers in Ecology and Evolution" journal.</p> <p>The directory contains the following files:</p> <p><strong>464_samples_fastq_files_(mothur).rar </strong>- contains the 464 fastq files proceed together during the Mothur bioinformatics treatments to produce the OTUs and ISUs tables. As the contig and the demultiplexing steps were performed by the sequencing platform, there is 1 fastq file per sample. From this 464 samples OTU/ISU tables, only information regarding 76 samples were used in this study and are listed in the "<strong>76_samples_list_(mothur).xlsx" </strong>file<strong>.</strong></p> <p><strong>76_samples_list_(mothur).xlsx </strong>- contains the information regarding the 76 samples used to create the OTUs and ISUs tables presented in the paper.</p> <p><strong>76_samples_R1_R2_fastq_files(DADA2).rar - </strong>contains the raw demultiplexed fastq files (R1.fastq and R2.fastq) for each of the 76 samples used in this study to produce the ESVs table using the DADA2 bioinformatics pipeline.</p>
The data for the article entitled "Soil carbon release responses to long-term versus short-term climatic warming in an arid ecosystem"
<p>The data for the article entitled "Soil carbon release responses to long-term versus short-term climatic warming in an arid ecosystem" Yu et al. </p>
Data from the article "Short-interval wildfire and drought overwhelm boreal forest resilience" Whitman et al., Scientific Reports, 2019
<p>Field data collected in the Northwest Territories and Wood Buffalo National Park, as well as plot locations, for the study "Short-interval wildfire and drought overwhelm boreal forest resilience" by Whitman et al. in Scientific Reports, 2019.</p> <p>For metadata or assistance please contact the authors. If you intend to publish research using these data, please contact and inform the authors, and cite the source article.</p>
Figure 1 in RESEARCH ARTICLE First record of Cheletonella (Acariformes: Cheyletidae) in Poland, with comments on other member of the genus
Figure 1. Cheletonella vespertilionis Womersley (Female) – Gnathosoma in dorsal view.
Figure 4 in RESEARCH ARTICLE First record of Cheletonella (Acariformes: Cheyletidae) in Poland, with comments on other member of the genus
Figure 4. Cheletonella vespertilionis Womersley (Female) – Dorsum of hysterosoma.
Figure 3 in RESEARCH ARTICLE First record of Cheletonella (Acariformes: Cheyletidae) in Poland, with comments on other member of the genus
Figure 3. Cheletonella vespertilionis Womersley (Female) – Prodorsal region.
Figure 6 in RESEARCH ARTICLE First record of Cheletonella (Acariformes: Cheyletidae) in Poland, with comments on other member of the genus
Figure 6. Cheletonella vespertilionis Womersley (Male) – Anogenital region.
Figure 5 in RESEARCH ARTICLE First record of Cheletonella (Acariformes: Cheyletidae) in Poland, with comments on other member of the genus
Figure 5. Cheletonella vespertilionis Womersley (Female) – Anogenital region.
Healthcare articles labeled "Professional" and "Non-Professional"
<p>The dataset collected for the research:</p> <p><a href="https://doi.org/10.1109/jcsse61278.2024.10613689" target="_blank" rel="noopener">Professional-level Classification for Healthcare Articles</a></p> <p>URL: https://doi.org/10.1109/jcsse61278.2024.10613689</p> <p> </p> <p>For more details about the experiment, please refer to the paper.</p> <p>The source code for verifying the experiment results is also included.</p> <p> </p>
The dataset used in the article "A point cloud graph neural network for protein-ligand binding site prediction"
Open the record for dataset details and reuse information.
Data for article "Seasonal variation in migration routes of Common Whitethroat Curruca communis"
<p><strong>Abstract</strong></p> <p>This archive contains raw geolocator data and daily positions of analysed data from seven Common Whitethroats tracked by light geolocators from breeding sites in the Czech Republic and Latvia. Country and year of geolocator deployment is indicated in folder names. All geolocators, except for a logger with an ID BG630, are model SOI-GDL2 (Swiss Ornithological Institute) geolocators. Geolocator BG630 is model Intigeo-P50Z11-7-DIP geolocator (Migrate Technology Ltd.).</p> <p> </p>
Research data for the article "Membrane-Active Antibiotics Affect Domains in Bacterial Membranes as the First Step of Their Activity" by Adéla Melcrová, Christiaan Klein, and Wouter Roos, Nano Letters 2024.
<p>Research data for the publication Membrane-Active Antibiotics Affect Domains in Bacterial Membranes as the First Step of Their Activity, Nano Letters, 2024. <a href="https://doi.org/10.1021/acs.nanolett.4c01873" target="_blank" rel="noopener">https://doi.org/10.1021/acs.nanolett.4c01873</a></p> <p>The data set contains experimental data on the study of antimicrobial N-alkylamide 3d and its interaction with the membrane extracted from the bacteria Staphylococcus aureus. Experimental details can be found in the Methods section of the Supporting Information of the mentioned article. </p> <p>The data set contains underlying data for each Figure in the publication including the figures in the Supporting Information. </p> <ul> <li>Figure 1, S2, S3, S6, S8 - Atomic Force Microscopy images in the raw format as collected on JPK Nano Wizard Ultra Speed AFM.</li> <li>Figure 2, 3, S1 - High-Speed Atomic Force Microscopy images in the raw format as collected on high-speed AFM RIBM machine. The data could be opened in Kodec software. The full trajectories recorded on the high-speed AFM machine are presented here. Only snapshots were used in the publication Figures.</li> <li>Figure S7, S9 - Snapshots from the High-Speed AFM measurements showing the cross-section lines (.bmp) together with the cross-section profiles (.csv) that were used to measure the height of supramolecular structures on top of the bacterial membrane.</li> <li>Data underlying Figure S5 and Supporting Video 1 overlap with the data presented in Figure 2a.</li> </ul>
Aligned DNA sequence matrix for phylogenetic analyses in the article "A new glassfrog of the genus Nymphargus (Anura: Centrolenidae) from Cordillera del Cóndor, Ecuador"
<p>Aligned DNA sequence matrix for phylogenetic analyses of the article "<span>A new glassfrog of the genus Nymphargus</span> (Anura<span>:</span> Centrolenidae) <span>from Cordillera del Cóndor, Ecuador</span>"</p> <p>The matrix is in NEXUS format and has 6613 bp and 102 terminals.</p> <p>Partitions are as follows:</p> <div> <div>charset 12S = 1-944;</div> <div>charset 16S = 945-2093;</div> <div>charset BNDFcodonPos1 = 2096-2792\3;</div> <div>charset BNDFcodonPos2 = 2094-2793\3;</div> <div>charset BNDFcodonPos3 = 2095-2791\3;</div> <div>charset ND1codonPos1 = 2795-3749\3;</div> <div>charset ND1codonPos2 = 2796-3750\3;</div> <div>charset ND1codonPos3 = 2794-3751\3;</div> <div>charset CXCR4codonPos1 = 3753-4107\3;</div> <div>charset CXCR4codonPos2 = 3754-4105\3;</div> <div>charset CXCR4codonPos3 = 3752-4106\3;</div> <div>charset cmyccodonPos1 = 4108-4507\3;</div> <div>charset cmyccodonPos2 = 4109-4508\3;</div> <div>charset cmyccodonPos3 = 4110-4509\3;</div> <div>charset POMCcodonPos1 = 4511-5120\3;</div> <div>charset POMCcodonPos2 = 4512-5121\3;</div> <div>charset POMCcodonPos3 = 4510-5122\3;</div> <div>charset RAG1codonPos1 = 5123-5576\3;</div> <div>charset RAG1codonPos2 = 5124-5577\3;</div> <div>charset RAG1codonPos3 = 5125-5578\3;</div> <div>charset SLC8A1codonPos1 = 5580-6120\3;</div> <div>charset SLC8A1codonPos2 = 5581-6118\3;</div> <div>charset SLC8A1codonPos3 = 5579-6119\3;</div> <div>charset SLC8A3codonPos1 = 6122-6587\3;</div> <div>charset SLC8A3codonPos2 = 6123-6585\3;</div> <div>charset SLC8A3codonPos3 = 6121-6586\3;</div> </div>
Dataset from the outputs of the article "Antarctic sensitivity to oceanic melting parameterizations"
<p>This dataset contains all the netCDF files from the simulations made for the article "Antarctic sensitivity to oceanic melting parameterizations". It also contains a general configuration file with the parameters for launching the simulations.</p> <p>The dataset is divided in three blocks: ISMIP6-ANT-16KM, ISMIP6-ANT-16KM-atmosphere (for the only-atmosphere simulations) and ISMIP6-ANT-16KM-ocean (for the only-ocean simulations). Each block contains three folders for the three different values of the basal melting parameter used in this study, 9620 m/yr, 14500 m/yr and 21000 m/yr and each folder a subset of six subfolders for the experiment projections: ctrlAE (for the control run), expAE02 (CCSM4), expAE03 (HadGEM2-ES), expAE04 (CESM2-WACCM), expAE05 (UKESM1-0-LL) and expAE10 (UKESM1-0-LL with low emissions). </p> <p>Reference: Juarez-Martinez, A., Blasco, J., Robinson, A., Montoya, M., and Alvarez-Solas, J.: Antarctic sensitivity to oceanic melting parameterizations, The Cryosphere, 2024.</p>
Data and Scripts for the Article "Structural Descriptors and Information Extraction from X-ray Emission Spectra: Aqueous Sulfuric Acid"
<p>Data and scripts for the article titled "Structural Descriptors and Information Extraction from X-ray Emission Spectra: Aqueous Sulfuric Acid".</p> <p>For further details on the contents, see the "readme.md"-file.</p> <p>Article available at <a href="https://doi.org/10.1039/D4CP02454K">10.1039/D4CP02454K</a>.</p>
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.