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15,733 results for “article”
FIG. 5 in Article 23.9 of the Code cannot be used to reject the nomen Hyla quoyi Bory de Saint-Vincent, 1828 as a nomen oblitum
FIG. 5. — Colour plate of holophoront (holotype) of Hyla quoyi Bory de Saint- Vincent, 1828. Plate 126 of Bory de Saint-Vincent (1831) first published in Bory de Saint Vincent (1828a) as plate 4 of part 13 of plates. https://www.archive. org/download/b21301141_0016/page/n406_w497
FIG. 2 in Article 23.9 of the Code cannot be used to reject the nomen Hyla quoyi Bory de Saint-Vincent, 1828 as a nomen oblitum
FIG. 2. — Lectophoront (lectotype) of Trachycephalus marmoratus Duméril & Bibron, 1841 and Hyla septentrionalis Duméril & Bibron, 1841, and neophoront (neotype) of Hyla sueurii Desmarest, 1825, MNHN-RA-0.4613, adult female (SVL 83.6 mm) donated by Ramon de la Sagra: A, dorsal view; B, lateral view of head and body; C, ventral view. Scale bar: 50 mm.
FIG. 1 in Article 23.9 of the Code cannot be used to reject the nomen Hyla quoyi Bory de Saint-Vincent, 1828 as a nomen oblitum
FIG. 1. — Colour plate of holophoront (holotype) of Hyla sueurii Desmarest, 1825. Plate 124 of Bory de Saint-Vincent (1831) first published in Bory de Saint Vincent (1825) as plate 4 of part 8 of plates.https://www.archive.org/download/ b21301141_0016/page/n402_w497.
Data set of the article: Using Machine Learning for Web Page Classification in Search Engine Optimization
<p>Data of investigation published in the article: "Using Machine Learning for Web Page Classification in Search Engine Optimization"</p> <p>Abstract of the article:</p> <p>This paper presents a novel approach of using machine learning algorithms based on experts’ knowledge to classify web pages into three predefined classes according to the degree of content adjustment to the search engine optimization (SEO) recommendations. In this study, classifiers were built and trained to classify an unknown sample (web page) into one of the three predefined classes and to identify important factors that affect the degree of page adjustment. The data in the training set are manually labeled by domain experts. The experimental results show that machine learning can be used for predicting the degree of adjustment of web pages to the SEO recommendations—classifier accuracy ranges from 54.59% to 69.67%, which is higher than the baseline accuracy of classification of samples in the majority class (48.83%). Practical significance of the proposed approach is in providing the core for building software agents and expert systems to automatically detect web pages, or parts of web pages, that need improvement to comply with the SEO guidelines and, therefore, potentially gain higher rankings by search engines. Also, the results of this study contribute to the field of detecting optimal values of ranking factors that search engines use to rank web pages. Experiments in this paper suggest that important factors to be taken into consideration when preparing a web page are page title, meta description, H1 tag (heading), and body text—which is aligned with the findings of previous research. Another result of this research is a new data set of manually labeled web pages that can be used in further research. </p>
Raw Data related to Research Article: Scaling of metal-clad InP nanodisk lasers: optical performance and thermal effects, Optics Express, volume 29, issue 3, 2021
<p>These are the plotted and raw data used to obtain figures shown in:</p> <p>P. Tiwari, P. Wen, D. Caimi, S. Mauthe, N. Vico Triviño, M. Sousa, and K. E. Moselund, Scaling of metal-clad InP nanodisk lasers: optical performance and thermal effects., Optics Express, volume 29, issue 3, 2021</p> <p>Please comply with copyright rules of the Optical Society of America under the terms of the OSA Open Access Publishing Agreement.:</p> <p>https://www.osapublishing.org/library/license_v1.cfm#VOR-OA</p> <p> </p>
Data archive for the journal article: "Comparison of co–located rBC and EC mass concentration measurements during field campaigns at several European sites"
<p>Data archive accompanying the peer-reviewed journal article "Comparison of co–located rBC and EC mass concentration measurements during field campaigns at several European sites". In January 2021 this article was accepted for publication in the journal <em>Atmospheric Measurement </em><em>Techniques</em>. Data are uploaded in the form of Igor 8.0 graphics source files (.pxp) and data exported to Excel spreadsheet (.xlsx).</p>
Data set of the article: Language Bias in the Google Scholar Ranking Algorithm
<p>Data of investigation published in the article Cristòfol Rovira; Lluís Codina; Carlos Lopezosa Language Bias in the Google Scholar Ranking Algorithm. Future Internet, 2021, 13.</p> <p><strong>Abstract: </strong>The visibility of academic articles or conference papers depends on their being easily found in academic search engines, above all in Google Scholar. To enhance this visibility, search engine optimization (SEO) has been applied in recent years to academic search engines in order to optimize documents and, thereby, ensure they are better ranked in search pages (i.e., academic search engine optimization or ASEO). To achieve this degree of optimization, we first need to further our understanding of Google Scholar’s relevance ranking algorithm, so that, based on this knowledge, we can highlight or improve those characteristics that academic documents already present and which are taken into account by the algorithm. This study seeks to advance our knowledge in this line of research by determining whether the language in which a document is published is a positioning factor in the Google Scholar relevance ranking algorithm. Here, we employ a reverse engineering research methodology based on a statistical analysis that uses Spearman’s correlation coefficient. The results obtained point to a bias in multilingual searches conducted in Google Scholar with documents published in languages other than in English being systematically relegated to positions that make them virtually invisible. This finding has important repercussions, both for conducting searches and for optimizing positioning in Google Scholar, being especially critical for articles on subjects that are expressed in the same way in English and other languages, the case, for example, of trademarks, chemical compounds, industrial products, acronyms, drugs, diseases, etc.</p>
Articles citing HIMF as marker for alternatively activated macrophages
<p>These articles offer good evidence that HIMF is a marker for alternatively activated macrophages.</p>
Supplementary data for a study of Open Access Article Processing Charges - 2014
<p>Article Processing Charges levied by a set of Gold Open Access journals and hybrid journals in 2014, as collected from the publishers' web sites. Supplementary data to 10.2314/CERN/C26P.W9DT</p>
Dataset for article: Perakakis P., Idrissi S., Vila J., Ivanov Ch.P. (2012). Dynamical patterns of human postural responses to emotional stimuli. Psychophysiology, 49 (9), pp. 1225–1229
<p>Dataset for article: Perakakis P., Idrissi S., Vila J., Ivanov Ch.P. (2012). Dynamical patterns of human postural responses to emotional stimuli. Psychophysiology, 49 (9), pp. 1225–1229</p>
Dataset for article: Jaber-Lopez, T., Garcia-Gallego, A., Perakakis, P., Georgantzis, N. (2014). Physiological and behavioral patterns of corruption. Frontiers in Behavioral Neuroscience
<p>Dataset and matlab analysis scripts for article: Dataset for article: Jaber-Lopez, T., Garcia-Gallego, A., Perakakis, P., Georgantzis, N. (2014). Physiological and behavioral patterns of corruption. Frontiers in Behavioral Neuroscience</p>
Simulation trajectories for the article "Molecular conformation and bilayer pores in a nonionic surfactant lamellar phase studies with 13C-1H solid-state NMR and molecular dynamics simulations"
<p>Simulation trajectories for the article "Molecular conformation and bilayer pores in a nonionic surfactant lamellar phase studies with 1H-13C solid-state NMR and molecular dynamics simulations" Langmuir 2014, 30 (2), pp 461–469 http://dx.doi.org/10.1021/la404684r</p> <p>System: 80 wt% C12E5, T=298K</p> <p>Other files available: http://dx.doi.org/10.6084/m9.figshare.861071</p>
Dataset used for making conclusions in article Gesture-controlled image management for operating room: A randomized crossover study.
<p>Dataset used for article titled:</p> <p>Gesture-controlled image management for operating room: A randomized crossover study.</p>
First copy costs of scientific articles
<p>This markdown file contians information from studies and reports on the first copy costs (or pure production costs) of a scientific article. It also available in GitHub (https://github.com/scinoptica/article_costs). Please feel free to improve/ update the data or add new information in the GitHub Version.</p>
Extract Article Numbers by Publisher from ZORA
<p>Pentaho Transformation to Extract Metadata from EPrints XML-Export:</p> <ol> <li>Download/Install Pentaho Data Integration (Free community Edition) from: http://sourceforge.net/projects/pentaho/files/Data%20Integration/</li> <li>Download EP3-XML-Export from: http://www.zora.uzh.ch/cgi/search/archive/advanced?screen=Search&dataset=archive&type=article&date%2Fevent_end=2008-2015&_action_search=Search</li> <li>Move ZORA Export XML in the same directory as the Pentaho Script "Extract Article Number by Publisher ZORA.ktr"</li> <li>Rename Export File like "export_zora_XML_articles_01.01.2016.xml" or change the source name in the XML importstep "Get data from ZORA Export XML"</li> <li>Run Script which creates csv files with the results in the directory</li> </ol>
Sequence data for the article "Targeted reduction of highly abundant transcripts with pseudo-random primers"
<p>Sequence data (Illumina MiSeq runs) for the article "Targeted reduction of highly abundant transcripts with pseudo-random primers". File names indicate unique run identifiers. In the manuscript, shorter names are used:</p> <ul> <li>NC12: 140602_M00528_0019_000000000-A88YD</li> <li>NC17: 140918_M00528_0047_000000000-A8GHU</li> <li>NC22b: 141105_M00528_0062_000000000-AAPC2</li> <li>NCki: 140207_M00528_0069_000000000-A5TY9</li> </ul> <p> </p>
Genome alignments for the article "Targeted reduction of highly abundant transcripts with pseudo-random primers"
<p>Sequence alignment (Moirai workflow management) for the article "Targeted reduction of highly abundant transcripts with pseudo-random primers". File names indicate unique run identifiers. In the manuscript, shorter names are used:</p> <ul> <li>NC12: NC12_1.CAGEscan_short-reads.20150629125015</li> <li>NC17: NC16-17_1.CAGEscan_short-reads.20150625154740</li> <li>NC22b: NC22b.CAGEscan_short-reads.20150625152335</li> <li>NCki: NCms10058_1.CAGEscan_short-reads.20150625154711</li> </ul>
Dataset and Figures for article: Ivanov P.Ch., Yuen, A., Perakakis, P., (2014). Impact of stock market structure on intertrade time and price dynamics. PLoS ONE 9(4): e92885
<p>Dataset and Figures for article: Ivanov P.Ch., Yuen, A., Perakakis, P., (2014). Impact of stock market structure on intertrade time and price dynamics. PLoS ONE 9(4): e92885</p>
Data set published in the IEEE TCAD article "Custom Multi-Cache Architectures for Heap-Manipulating Programs"
<p>This data set contains the results presented in the paper "Custom Multi-Cache Architectures for Heap-Manipulating Programs", published in the IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD) in 2016.</p> <p>The data set consists of two parts, a Microsoft Excel file ('FPGA_implementation_results.xlsx') and a Matlab script ('plot_cache_performance.m', in combination with measurement results in an ascii file).</p> <p>The Excel file contains<br /> - the FPGA resource utilisation,<br /> - execution time measurements,<br /> - hit rate measurement of the multi-cache system,<br /> - and power measurements</p> <p>of different FPGA designs with different on-chip cache configurations. The resource utilisation is split into FPGA slices, LUTs, FlipFlops, DSP slices and block RAMs. Results in this file can be found in Table I-IV in the paper. Please refer to the paper for more information or email f.winterstein12@imperial.ac.uk.</p> <p>The Matlab script loads a data file ('cache_performance_N16384_L1') containing the hit rate measurements for different cache sizes of two direct-mapped cache with 64bit line width. The script produces a 3D 'skyscraper' plot, i.e. a grid of coloured bars. Each bar corresponds to the hit rate measured at the particular cache size configuration. The plot is saved in the file 'surf.pdf'. The script was used to produce Figure 4 of the paper. Please refer to the paper for more information or email f.winterstein12@imperial.ac.uk.</p> <p>In addition to this description, we include an author copy of the paper. Note that this is not the official version of the paper. Please cite the original IEEE TCAD article if you use the data.</p>
FIGURES 2 – 7. Dobrodesmus mirabilis. Fig 2, collum. Fig 3, sensilla from sixth antennal article. Fig 4 in A millipede missing link: Dobrodesmidae, a remarkable new polydesmidan millipede family from Brazil with supernumerary rings (Diplopoda, Polydesmida), and the establishment of a new suborder Dobrodesmidea
FIGURES 2 – 7. Dobrodesmus mirabilis. Fig 2, collum. Fig 3, sensilla from sixth antennal article. Fig 4, midbody segment, dorsal view. Fig 5, midbody segment, ventral view. Fig 6, anterior right corner of midbody segment, dorsal view. Fig 7, posterior right corner of nonporiferous midbody segment, dorsal view.
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.