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5,061 results for “access”
ARIA - Accessible Rich Internet Applications Landmarks classified dataset
<p>ARIA Landmarks classified dataset. ARIA Landmarks are regions of web applications that can be accessed by specific keyboard shortcuts and are specially useful for blind users. They comprise the banner, complementary, contentinfo, form, main, navigation, region and search classes.</p> <p>In the dataset, samples represent DOM elements of web applications with different attributes extracted when these elements are rendered in the browser.</p>
Angle measurements with 3D Vector antenna for localization purposes – open-access datasets
<p>This dataset contains data on positioning measurements of the angle of arrival (AoA) as well as the azimuth angle estimation using the MUSIC Algorithm. The data was collected from four ports (p1,p2,p3,p4) of a 3D Vector Antenna (3D VA) provided by ENAC. Data were captured in a laboratory environment with conditions that affect the positioning performance. </p>
Differential equity in access to public and private coastal infrastructure in the Southeastern United States
<p>Despite the ubiquity of coastal infrastructure, it is unclear what factors drive its placement, particularly for water access infrastructure (WAI) that facilitates entry to coastal ecosystems such as docks, piers, and boat landings. The placement of WAI has both ecological and social dimensions, and certain segments of coastal populations may have differential access to water. In this study, we employed an environmental justice framework to assess how public and private WAI in South Carolina, USA is distributed with respect to race and income. Using publicly available data from state agencies and the US Census Bureau, we mapped the distribution of these structures across the 301 km of the South Carolina coast. Using spatially explicit analyses with high resolution, we found that census block groups with lower income contain more public WAI, but racial composition has no effect. On the other hand, private docks showed the opposite trends, as the abundance of docks is significantly, positively correlated with census block groups that have greater percentages of White residents, while income has no effect. Under a "need-based" model of equity, we argue that WAI are not equitably distributed in South Carolina and constitute an environmental justice issue. We contend that the racially unequal distribution of docks is likely a consequence of the legacy of Black land loss, especially of waterfront property, throughout the coastal Southeast over the past half-century. Knowledge of racially inequitable distribution of WAI can guide public policy to rectify this imbalance and support advocacy organizations working to promote public water access. Our work also points to the importance of considering race in ecological research, as the spatial distribution of coastal infrastructure both directly affects ecosystems through the structures themselves and regulates which groups access water and what activities they can engage in at those sites.</p>
Incorporating plant access to groundwater in existing global, satellite-based evaporation estimates
<p>This repository contains data used in the paper "Incorporating plant access to groundwater in existing global, satellite-based evaporation estimates".</p> <p>This repository includes the following netcdf files: 1) daily evaporation based on GLEAM-Hydro [mm/d], 2) daily evaporation based on GLEAM v3 [mm/d], 3) annual-mean groundwater-sourced evaporation (E_GW) [mm/year], and 4) temporally averaged groundwater contribution fraction (f_GW) [-].</p>
pl-wnifc/humdrum-polish-scores: Digital scores from the "Polish Music Heritage in Open Access" project
<p>Digital scores from the Polish Music Heritage in Open Access project</p> <p>This repository contains transcriptions from the Heritage of Polish Music in Open Access project at the <a href="https://nifc.pl/en">Chopin Institute</a> in the Humdrum digital score format. Files are organized by the RISM siglum ID of the source archive.</p> <p>Frontend</p> <p>The main user interface for these digital scores is at <a href="https://polishscores.org/">https://polishscores.org/</a>. All transcriptions include scans of the physical scores.</p> <p>Staff:</p> <ul> <li><strong>Lead</strong>: Marcin Konik</li> <li><strong>Technical Lead</strong>: Craig Stuart Sapp</li> <li><strong>Project Manager</strong>: Jacek Iwaszko</li> <li><strong>Metadata Manager: </strong>Marcelina Chojecka</li> <li><strong>Assistant Project Manager</strong>: Emilia Ziętek</li> </ul> <p> </p> <p>Data created within EU funded project "Polish Music Heritage in Open Access"</p> <p>Co-financed by the Ministry of Culture and National Heritage</p> <p> </p> <table align="left"> <caption>Archives represented in repository</caption> <thead> <tr> <th scope="col">Siglum</th> <th scope="col">Library</th> <th scope="col">Scores</th> </tr> </thead> <tbody> <tr> <td><a href="https://github.com/pl-wnifc/humdrum-polish-scores/tree/main/pl-cz/kern">pl-cz</a></td> <td><a href="https://jasnagora.pl/en/o-sanktuarium/biblioteki/biblioteka-jasnogorska">Jasna Góra Monastery</a></td> <td>1294</td> </tr> <tr> <td><a href="https://github.com/pl-wnifc/humdrum-polish-scores/tree/main/pl-gd/kern">pl-gd</a></td> <td><a href="https://bgpan.gda.pl/?lang=en">Gdańsk Library PAoS</a></td> <td>244</td> </tr> <tr> <td><a href="https://github.com/pl-wnifc/humdrum-polish-scores/tree/main/pl-kc/kern">pl-kc</a></td> <td><a href="https://mnk.pl/branch/the-princes-czartoyski-library">Czartoryski Library, Cracow</a></td> <td>108</td> </tr> <tr> <td><a href="https://github.com/pl-wnifc/humdrum-polish-scores/tree/main/pl-kj/kern">pl-kj</a></td> <td><a href="https://bj.uj.edu.pl/en_GB/start-en">Jagiellonian Library, Cracow</a></td> <td>29</td> </tr> <tr> <td><a href="https://github.com/pl-wnifc/humdrum-polish-scores/tree/main/pl-kk/kern">pl-kk</a></td> <td><a href="http://akkk.com.pl/">Wawel Cathedral, Cracow</a></td> <td>1720</td> </tr> <tr> <td><a href="https://github.com/pl-wnifc/humdrum-polish-scores/tree/main/pl-kozmzk/kern">pl-kozmzk</a></td> <td><a href="https://www-muzeumzamoyskich-pl.translate.goog/?_x_tr_sch=http&_x_tr_sl=auto&_x_tr_tl=en&_x_tr_hl=en">Zamoyski Museum, Kozłówka</a></td> <td>168</td> </tr> <tr> <td><a href="https://github.com/pl-wnifc/humdrum-polish-scores/tree/main/pl-sa/kern">pl-sa</a></td> <td><a href="http://bc.bdsandomierz.pl/dlibra?language=en">Diocesan Library, Sandomierz</a></td> <td>1244</td> </tr> <tr> <td><a href="https://github.com/pl-wnifc/humdrum-polish-scores/tree/main/pl-stab/kern">pl-stab</a></td> <td><a href="https://rism.info/library_collections/2017/09/28/music-in-the-convent-of-st-adalberts-abbey-in.html">St. Adalbert Abbey, Staniątki</a></td> <td>154</td> </tr> <tr> <td><a href="https://github.com/pl-wnifc/humdrum-polish-scores/tree/main/pl-wn/kern">pl-wn</a></td> <td><a href="https://www.bn.org.pl/en">Polish National Library</a></td> <td>496</td> </tr> <tr> <td><a href="https://github.com/pl-wnifc/humdrum-polish-scores/tree/main/pl-wnifc/kern">pl-wnifc</a></td> <td><a href="https://nifc.pl/en">Chopin Institute, Warsaw</a></td> <td>390</td> </tr> <tr> <td><a href="https://github.com/pl-wnifc/humdrum-polish-scores/tree/main/pl-wtm/kern">pl-wtm</a></td> <td><a href="http://warszawskietowarzystwomuzyczne.pl/biblioteka/">Warsaw Music Society</a></td> <td>1163</td> </tr> <tr> <td><a href="https://github.com/pl-wnifc/humdrum-polish-scores/tree/main/pl-wumfc/kern">pl-wumfc</a></td> <td><a href="http://www.biblioteka.chopin.edu.pl/pl">Chopin University of Music</a></td> <td>151</td> </tr> </tbody> </table> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p>
Can Public Transport Improve Accessibility for the Poor Over the Long Term? Empirical Evidence in Paris, 1968-2010
<p>This dataset allows to reproduce the results of the paper "Can Public Transport Improve Accessibility for the Poor Over the Long Term? Empirical Evidence in Paris, 1968-2010", by Vincent Viguié, Charlotte Liotta, Basile Pfeiffer, and Nicolas Coulombel, submitted to the Journal of Transport Geography and available at SSRN: <a href="https://ssrn.com/abstract=4049765">https://ssrn.com/abstract=4049765</a> or <a href="https://dx.doi.org/10.2139/ssrn.4049765">http://dx.doi.org/10.2139/ssrn.4049765</a>.</p> <p>Files MODUS_private_cars.csv and MODUS_public_transport.csv correspond to the average transport time between municipalities by public transit for the Census years between 1968 and 20109, and by car for the year 2010. MODUS is a model calibrated by the public regional road and transport authority (DRIEAT Île de France) to simulate road traffic and transit in the region. More details can be found in the research paper.</p> <p>Files COM_RES_csp_1968_2010.csv and COM_EMP_csp_1968_2010.csv correspond to the number of employed workers, by place of residence or employment, at the municipality (communes) level, with stable geographical boundaries over time. They are derived from the detailed census of the French population carried out by the INSEE, the French national statistical institute. More details can be found in the research paper.</p>
Machine Learning Enabled Multi-Radio Access Technology Selection in 5G Networks
<p>In this paper, we present a machine learning algorithm for effective RAT selection in 5G networks by considering the geo-location (latitude and longitude) of the user as well as the received signal strength intensity (RSSI) from the base station as basic parameters, real live data from a 5G network base-station were collated, divided into training and testing data-sets, the training data-sets (input) were used to train models of supervised machine learning classification algorithm: Decision Tree (DT), Extra Tree (XTREE), Random Forest (RF), Gradient Boosting (GB), and eXtreme Gradient Boosting (XGBoost); these trained models are further tested with input test data-sets to predict/select the appropriate RAT (4G/5G) as labelled output. Evaluation of results showed a measure of accuracy of our chosen model of RAT selection; (XGBoost) at optimal level 93.86\%, which was further cross validated at 92.9\% when compared with other algorithms for its effectiveness on future data and mitigation ability on over-fitting and under-fitting issues, hence recommended for planning and optimization purposes in similar urban/dense-urban environment to assist in maintaining the rapidly increasing demand of network connections and devices.</p>
REMODEL. WP5. Cable Manipulation Planning, Execution and Interactive Perception. T5-2. Cable grasping. Data related to a paper published in IEEE Access 2021
<p>The datasets contain images for the training and testing of algorithms presented in the publication:</p> <p>Cirillo, P., Laudante, G., Pirozzi, S. “Vision-Based Robotic Solution for Wire Insertion with an Assigned Label Orientation” (2021) IEEE Access, 9, art. no. 9490630, pp. 102278-102289. DOI: 10.1109/ACCESS.2021.3098472</p>
Open-Access DICOM MRI session
<p>This is an open-access DICOM MRI session of a healthy subject (Colin Vanden Bulcke) containing several MRI sequences:</p> <ul> <li>MPRAGE T1-weighted</li> <li>MP2RAGE</li> <li>FLAIR</li> <li>3D EPI</li> </ul>
Container flows on road, rail and waterways along Rhine-Alpine corridor (Rhine section) at NUTS-2 level with cost-time-emissions estimates and accessibility-frequency-availability of modes
<p>The present dataset is used to estimate the heterogeneous mode choice preferences of shippers, that are presented in the following article :<br> "A Logit Mixture Model Estimating the Heterogeneous Mode Choice Preferences of Shippers Based on Aggregate Data"<br> (Nicolet, A., Negenborn, R. R. & Atasoy, B., A Logit Mixture Model Estimating the Heterogeneous Mode Choice Preferences of Shippers Based on Aggregate Data. IEEE Open Journal of Intelligent Transportation Systems, Vol. 3, 2022, pp. 650-661.)</p>
Data from: The State of OA: A large-scale analysis of the prevalence and impact of Open Access articles
<p>This is the raw data behind the publication: </p> <p><strong>The State of OA: A large-scale analysis of the prevalence and impact of Open Access articles.</strong></p> <p>Despite growing interest in Open Access (OA) to scholarly literature, there is an unmet need for large-scale, up-to-date, and reproducible studies assessing the prevalence and characteristics of OA. We address this need using oaDOI, an open online service that determines OA status for 67 million articles. We use three samples, each of 100,000 articles, to investigate OA in three populations: 1) all journal articles assigned a Crossref DOI, 2) recent journal articles indexed in Web of Science, and 3) articles viewed by users of Unpaywall, an open-source browser extension that lets users find OA articles using oaDOI. We estimate that at least 28% of the scholarly literature is OA (19M in total) and that this proportion is growing, driven particularly by growth in Gold and Hybrid. The most recent year analyzed (2015) also has the highest percentage of OA (45%). Because of this growth, and the fact that readers disproportionately access newer articles, we find that Unpaywall users encounter OA quite frequently: 47% of articles they view are OA. Notably, the most common mechanism for OA is not Gold, Green, or Hybrid OA, but rather an under-discussed category we dub Bronze: articles made free-to-read on the publisher website, without an explicit Open license. We also examine the citation impact of OA articles, corroborating the so-called open-access citation advantage: accounting for age and discipline, OA articles receive 18% more citations than average, an effect driven primarily by Green and Hybrid OA. We encourage further research using the free oaDOI service, as a way to inform OA policy and practice.</p>
Open Access levels of Dutch universities 2010-2017
<p>This small dataset contains csv data on the number of articles+reviews published by authors affiliated to Dutch Universities, 2010-2017, according to the Web of Science database, measured on 20171220. It also indicates the number of open access articles+reviews among those and the resulting percentages.</p> <p> </p>
Open access in Africa: scopus citation data
<p>The following citation dataset was retrieved from Scopus in June 24, 2017 (3am, Western Indonesian time).</p> <p>It consists of 3 sets of data based on our searches. Each search was saved both in 'csv' and 'bib':</p> <ol> <li>OA_Africa_inTitle.xxx: "Open Access" AND Africa IN TITLE</li> <li>OA_Africa_inTitle_inAbstract_inKeywords.xxx: "Open Access" AND Africa IN TITLE, IN ABSTRACT, IN KEYWORDS</li> <li>OAmovement_Africa_inTitle_inAbstract_inKeywords.xxx: "Open Access movement" AND Africa IN TITLE, IN ABSTRACT, IN KEYWORDS</li> </ol> <p>The access to Scopus was provided by The Central Library of Institut Teknologi Bandung (Indonesia)</p>
Data from: Open access levels: a quantitative exploration using Web of Science and oaDOI data
<p>This is the raw data behind the publication (on PeerJ Preprints):</p> <p><strong>Open access levels: a quantitative exploration using Web of Science and oaDOI data</strong></p> <p>Across the world there is growing interest in open access publishing among researchers, institutions, funders and publishers alike. It is assumed that open access levels are growing, but hitherto the exact levels and patterns of open access have been hard to determine and detailed quantitative studies are scarce. Using newly available open access status data from oaDOI in Web of Science we are now able to explore year-on-year open access levels across research fields, languages, countries, institutions, funders and topics, and try to relate the resulting patterns to disciplinary, national and institutional contexts. With data from the oaDOI API we also look at the detailed breakdown of open access by types of gold open access (pure gold, hybrid and bronze), using universities in the Netherlands as an example. There is huge diversity in open access levels on all dimensions, with unexpected levels for e.g. Portuguese as language, Astronomy & Astrophysics as research field, countries like Tanzania, Peru and Latvia, and Zika as topic. We explore methodological issues and offer suggestions to improve conditions for tracking open access status of research output. Finally, we suggest potential future applications for research and policy development. We have shared all data and code openly.</p>
Figure1. Three-layer image decomposition with content protection-Access Management in Medical Image Databases Based on New Format and Contents Protection with Inverse Pyramid Decomposition
<p>The image preparation for the image database with layered access is shown on Fig. 1. The<br> image is archived layer by layer and the watermarks are inserted together with the image<br> processing. The ROI (if there is one in the image) is processed in such a way, that to permit direct<br> access for authorized users (separate pyramid is developed for the ROI representation).</p>
A bibliometric study on Parkinson's Disease based on the open access data of the Michael J. Fox Foundation
<h1>Description</h1> <p>This repository contains a comprehensive dataset focused on Parkinson's Disease. We provide data extracted via web scraping, along with metadata resulting from the extraction process using the NCBI API. The data pertains to the article titled 'A bibliometric study on Parkinson's Disease based on the open access data of the Michael J. Fox Foundation'.</p> <h2>Metadata Description</h2> <ul> <li> <h3>Analisys_MJFF_05_04_2024.xlsx</h3> </li> </ul> <table> <tbody> <tr> <th>Field</th> <th>Description</th> <th>Data Type</th> </tr> </tbody> <tbody> <tr> <td>AU</td> <td>List of authors in abbreviated format.</td> <td>Text</td> </tr> <tr> <td>AF</td> <td>List of authors with full names.</td> <td>Text</td> </tr> <tr> <td>TI</td> <td>Full title of the article.</td> <td>Text</td> </tr> <tr> <td>SO</td> <td>Name of the journal or publication.</td> <td>Text</td> </tr> <tr> <td>SO_CO</td> <td>Country of origin of the publication.</td> <td>Text</td> </tr> <tr> <td>LA</td> <td>Language of the article.</td> <td>Text</td> </tr> <tr> <td>DT</td> <td>Type of document, such as "Journal Article".</td> <td>Text</td> </tr> <tr> <td>DE</td> <td>Keywords or descriptors associated with the article.</td> <td>Text</td> </tr> <tr> <td>MESH</td> <td>MeSH terms that describe the content of the article.</td> <td>Text</td> </tr> <tr> <td>DI</td> <td>Digital Object Identifier (DOI).</td> <td>Text</td> </tr> <tr> <td>PG</td> <td>Number of pages or page range.</td> <td>Numeric</td> </tr> <tr> <td>GRANT_ID</td> <td>Identification of funding, when available.</td> <td>Text</td> </tr> <tr> <td>GRANT_ORG</td> <td>Organization that provided the funding.</td> <td>Text</td> </tr> <tr> <td>UT, PMID</td> <td>Unique identifiers of the article.</td> <td>Numeric</td> </tr> <tr> <td>DB</td> <td>Name of the database where the article is indexed.</td> <td>Text</td> </tr> <tr> <td>AU_UN</td> <td>Information about the academic unit or institution of the authors.</td> <td>Text</td> </tr> </tbody> </table> <ul> <li> <h3>References_MJFF_v2_Final_Corrected.csv</h3> </li> </ul> <table> <tbody> <tr> <th>Field</th> <th>Description</th> <th>Data Type</th> </tr> </tbody> <tbody> <tr> <td>Title</td> <td>Name of the article or publication.</td> <td>Text</td> </tr> <tr> <td>Authors</td> <td>List of authors who contributed to the article.</td> <td>Text</td> </tr> <tr> <td>Journal Name</td> <td>Name of the journal or periodical where the article was published.</td> <td>Text</td> </tr> <tr> <td>Publisher</td> <td>Name of the publisher who published the article.</td> <td>Text</td> </tr> <tr> <td>Volume</td> <td>Volume number of the journal in which the article appears.</td> <td>Numeric or Text</td> </tr> <tr> <td>Edition Number</td> <td>Number of the edition of the journal in which the article is found.</td> <td>Numeric or Text</td> </tr> <tr> <td>Starting Page</td> <td>Number of the first page of the article in the publication.</td> <td>Numeric</td> </tr> <tr> <td>Ending Page</td> <td>Number of the last page of the article.</td> <td>Numeric</td> </tr> <tr> <td>Publication Date</td> <td>Date on which the article was published.</td> <td>Date</td> </tr> <tr> <td>Open Access Status</td> <td>Indicates whether the article is available in open access.</td> <td>Text</td> </tr> <tr> <td>License</td> <td>Type of license under which the article was published.</td> <td>Text</td> </tr> <tr> <td>DOI (Digital Object Identifier)</td> <td>Unique identifier for the article that provides a permanent link to the online access.</td> <td>Text</td> </tr> <tr> <td>OA Location URL</td> <td>Direct URL to the article, if available in open access.</td> <td>Text</td> </tr> <tr> <td>Citation Count</td> <td>Number of times the article has been cited by other publications.</td> <td>Numeric</td> </tr> </tbody> </table> <p> </p>
Dogs do not use their own experience with novel barriers to infer others' visual access
<p>Despite extensive research into the Theory of Mind abilities in nonhuman animals, it remains controversial whether they can attribute mental states to other individuals or whether they merely predict future behaviour based on previous behavioural cues. In the present study, we tested pet dogs (in total, N=92) on adaptations of the "goggles test" previously used with human infants and great apes. In both a cooperative and a competitive task, dogs were given direct experience with the properties of novel screens (one opaque, the other transparent) inserted into identical, but differently coloured, tunnels. Dogs learned and remembered the properties of the screens even when, later on, these were no longer directly visible to them. Nevertheless, they were not more likely to follow the experimenter's gaze to a target object when the experimenter could see it through the transparent screen. Further, they did not prefer to steal a forbidden treat first in a location obstructed from the experimenter's view by the opaque screen. Therefore, dogs did not show perspective-taking abilities in this study in which the only available cue to infer others' visual access consisted of the subjects' own previous experience with novel visual barriers. We conclude that the behaviour of our dogs, unlike that of infants and apes in previous studies, does not show evidence of experience projection abilities.</p>
Open Access in Ukraine: characteristics and evolution from 2012 to 2021: supplementary data
<p>This dataset includes metadata for publications authored by researchers affiliated with Ukrainian research institutions and universities, gathered from Scopus, WoS, and Dimensions as of November 2022. Information on the papers' open access status, OA subtypes, publisher details and repository names was obtained from Unpaywall.</p>
Figure 2 in Evaluation of root-knot nematode resistance assays for sugarcane accession lines in Australia
Figure 2: Regressions to show the relationship between root biomass and ln(eggs per g roots+1) in eight nematode trials.
Figure 1 in Evaluation of root-knot nematode resistance assays for sugarcane accession lines in Australia
Figure 1: Examples of root-knot nematode gall ratings for sugarcane based on percentage of root system with galls. 1 = ≤1 to 2%, 2 = 2 to 25%, 3 = 25 to 50%, 4 = 51 to 75%, 5 ≥ 75% (modified from Shepherd 1979).
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.