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2,359 results for “Online”
Figures 2 and 3 in HighRes for Springer book chapter "Online Infrastructures For Open Educational Resources"
<p>Figure 2 and Figure 3 in high resolution for the book chapter:</p> <p>Marín, V. I., & Villar-Onrubia, D. (in press, 2022). Online Infrastructures For Open Educational Resources. In I. Jung & O. Zawacki-Richter (Eds.), <em>Handbook of Open, Distance and Digital Education</em> (Global Perspectives and Internationalization). Springer. <a href="https://doi.org/10.1007/978-981-19-0351-9_18-1">https://doi.org/10.1007/978-981-19-0351-9_18-1</a></p> <p>----</p> <p>Details for the figures:</p> <p>Fig. 2 Examples of national and regional digital infrastructures in Europe. (Note: The original figure of the Europe map was created by Commons user Alexrk2, CC BY-SA 3.0, shared via Wikimedia Commons)</p> <p>Figure 3. Examples of national and regional digital infrastructures in South America. (Note: The original figure of the South America map was created by TUBS, CC BY-SA 3.0, shared via Wikimedia Commons)</p>
PT2vec - A Portuguese text corpus created from online newspapers
<p>A Portuguese text corpus created from online newspapers with a total of 394,825,480 tokens and 33,089,734 sentences.</p> <p>If you use this repository, please cite this paper:</p> <p>Pinto JP, Viana P, Teixeira I, Andrade M. 2022. Improving word embeddings in Portuguese: increasing accuracy while reducing the size of the corpus. PeerJ Computer Science 8:e964 <a href="https://doi.org/10.7717/peerj-cs.964">https://doi.org/10.7717/peerj-cs.964</a></p>
Best Skin Care Products online in India
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'Sublime Mix' online book reviews in English
<p>Belongs to article ‘A pretty sublime mix of WTF and OMG’. (More data to be added upon acceptance).</p> <p>English online book reviews reused from</p> <p>Jianmo Ni, Jiacheng Li, and Julian McAuley, "Justifying recommendations using distantly-labeled reviews and fine-grained aspects" (paper presented at the Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), 2019)</p> <p>and</p> <p>Wan et al., "Short Fine-Grained Spoiler Detection from Large-Scale Review Corpora."</p>
'Sublime Mix' online book reviews in Dutch
<p>Belongs to article ‘A pretty sublime mix of WTF and OMG’. (More data to be added upon acceptance).</p> <p>Dutch online book reviews drawn from ODBR database. See:</p> <p>Boot, P. (2017). A Database of Online Book Response and the Nature of the Literary Thriller. Digital Humanities 2017. Montreal.<br> </p> <p> </p>
Video Game Bad Smells: What they are and how Developers Perceive Them - Online dataset
<p>This artifact contains the online replication package of the manuscript "Video Game Bad Smells: What they are and how Developers Perceive Them"</p>
Actionable and Interpretable Fault Localization for Recurring Failures in Online Service Systems
<p>These are the datasets for our ESEC/FSE'22 paper "Actionable and Interpretable Fault Localization for Recurring Failures in Online Service Systems." In each dataset, <code>graph.yml </code>or <code>graphs/*.yml</code> are FDGs, <code>metrics.csv</code> is metrics, and <code>faults.csv</code> is failures (including ground truths).<code>FDG.pkl</code> is a pickle of the FDG object, which contains all the above data. Note that the pickle files are not compatible in different Python and Pandas versions. So if you cannot load the pickles, just ignore and delete them. They are only used to speed up data load.</p> <p>See more at https://github.com/NetManAIOps/DejaVu</p>
evanradith/datasetEPB7: Dataset Survei Analisa Screen Time dan Pengeluaran Belanja Online
<p>Dataset dari hasil survei yang dilakukan untuk menyusun paper berjudul "Analisis Hubungan Screen Time pada Aplikasi Belanja Online di Ponsel dan Bidang Studi dengan Jumlah Pengeluaran pada Masa New Normal Setelah Pandemi (Studi Kasus: Mahasiswa ITS)". Responden dataset merupakan mahasiswa ITS yang telah mengisi kuesioner yang telah disebarkan.</p>
The World Atlas of Language Structures Online
<p><strong>Dryer, Matthew S. & Haspelmath, Martin (eds.) 2013. The World Atlas of Language Structures Online. Leipzig: Max Planck Institute for Evolutionary Anthropology. (Available online at https://wals.info)</strong></p>
Questionnaire Response About Weight Of Criteria For Selecting Online Course Using Weighted Product Method
<p>This dataset is a response to a questionnaire that we already delivered to some Institut Teknologi Sepuluh Nopember Surabaya students. In this questionnaire, they chose which criteria are important for selecting an online course, and by that data, we can get the weights of each criteria and we use that data to do our Weighted Product selection.</p>
cldf-datasets/apics: The "Atlas of Pidgin and Creole Language Structures Online" as CLDF dataset
<p><strong>Michaelis, Susanne Maria & Maurer, Philippe & Haspelmath, Martin & Huber, Magnus (eds.) 2013. Atlas of Pidgin and Creole Language Structures Online. Leipzig: Max Planck Institute for Evolutionary Anthropology. (Available online at <a href="https://apics-online.info/">https://apics-online.info</a>).</strong></p>
Dataset Pinjaman Online Twitter
<p>dataset diambil menggunakan library twint</p>
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A content analysis of Vietnam online news about a pentavaent vaccine in the EPI
<p>This includes two files:</p> <p>-One dataset includes details about the online newspaper articles about Quinvaxem, a 5-in-1 vaccine used in Expanded Programme on Immunization in Vietnam. It includes the names of articles, publication dates and original webpages which the author retrieved the articles from. </p> <p>- The coding framework used for categorizing articles. This was built based on codebooks used in previous studies about vaccine media analysis. It was piloted and tested for interrater reliability. </p>
Species numbers by country.pdf: a listing of total fish species numbers for locations compiled from http://www.fishbase.us online database.
<p>Species numbers by country.pdf: a listing of total fish species numbers for locations compiled from http://www.fishbase.us online database.</p> <p>data from Starck, W.A., Estapé C.J. & Morgan Estapé, A. (2017) The fishes of Alligator Reef and environs in the<br> Florida Keys: a half-century update. Journal of the Ocean Science Foundation, 27, 74–117.</p>
African wood density database with matches to the taxonomic backbone data sets of World Flora Online (version 2023.12) and the World Checklist of Vascular Plants (version 11)
<p>The <strong><span>African Wood Density Database </span></strong><span>provides air-dry wood density data for over 750 tree species grown in Africa.</span></p> <p>This archive provides taxonomic matches with recent versions of <strong>World Flora Online</strong> (WFO; <a href="../records/10425161">version 2023.12 downloaded from Zenodo</a>; Borch et al. <a href="https://onlinelibrary.wiley.com/doi/10.1002/tax.12373">2020</a>) and the <strong>World Checklist of Vascular Plants</strong> (WCVP; <a href="https://sftp.kew.org/pub/data-repositories/WCVP/Archive/">version 11 downloaded from the Kew data depository</a>; Govaerts et al. <a href="https://doi.org/10.1038/s41597-021-00997-6">2021</a>). Matching was done via the <strong>WorldFlora</strong> package (<a href="https://cran.r-project.org/package=WorldFlora">version 1.14-3</a>; Kindt <a href="https://bsapubs.onlinelibrary.wiley.com/doi/full/10.1002/aps3.11388">2020</a>), using similar scripts as documented in this Rpub: <a href="https://rpubs.com/Roeland-KINDT/1134151">https://rpubs.com/Roeland-KINDT/1134151</a>.</p> <p> </p> <ul> <li><span>Carsan, S. Orwa, C. Harwood, C. Kindt, R. Stroebel, A. Neufeldt, H. and Jamnadass, R. 2012. African Wood Density Database. World Agroforestry Centre, Nairobi. <a href="https://apps.worldagroforestry.org/treesnmarkets/wood/">https://apps.worldagroforestry.org/treesnmarkets/wood/#</a> </span></li> <li><span>Borsch, T., Berendsohn, W., Dalcin, E., Delmas, M., Demissew, S., Elliott, A., Fritsch, P., Fuchs, A., Geltman, D., Güner, A., Haevermans, T., Knapp, S., le Roux, M.M., Loizeau, P.-A., Miller, C., Miller, J., Miller, J.T., Palese, R., Paton, A., Parnell, J., Pendry, C., Qin, H.-N., Sosa, V., Sosef, M., von Raab-Straube, E., Ranwashe, F., Raz, L., Salimov, R., Smets, E., Thiers, B., Thomas, W., Tulig, M., Ulate, W., Ung, V., Watson, M., Jackson, P.W. and Zamora, N. (2020), World Flora Online: Placing taxonomists at the heart of a definitive and comprehensive global resource on the world's plants. TAXON, 69: 1311-1341. <a href="https://doi.org/10.1002/tax.12373">https://doi.org/10.1002/tax.12373</a></span></li> <li><span>Govaerts, R., Nic Lughadha, E., Black, N. <em>et al.</em> The World Checklist of Vascular Plants, a continuously updated resource for exploring global plant diversity. <em>Sci Data</em> <strong>8</strong>, 215 (2021). <a href="https://doi.org/10.1038/s41597-021-00997-6">https://doi.org/10.1038/s41597-021-00997-6</a></span></li> <li><span>Kindt, R. 2020. WorldFlora: An R package for exact and fuzzy matching of plant names against the World Flora Online taxonomic backbone data. <em>Applications in Plant Sciences</em> 8(9): e11388. <a href="https://doi.org/10.1002/aps3.11388">https://doi.org/10.1002/aps3.11388</a></span></li> </ul> <p> </p> <p>Original funding for the database was provided <span>by the Carbon Benefits Project (CBP) supported by The Global Environment Facility (GEF). Development of the 2024 version </span>was supported by the <strong>Darwin Initiative</strong> to project DAREX001 of <em>Developing a Global Biodiversity Standard certification for tree-planting and restoration</em>, by <strong>Norway’s International Climate and Forest Initiative through the Royal Norwegian Embassy in Ethiopia</strong> to the <em>Provision of Adequate Tree Seed Portfolio</em> project in Ethiopia, by the <strong>Green Climate Fund</strong> through the IUCN-led <em>Transforming the Eastern Province of Rwanda through Adaptation</em> project and through the <em>Readiness proposal on Climate Appropriate Portfolios of Tree Diversity for Burkina Faso</em>, by the <strong>Bezos Earth Fund</strong> to the <em>Bezos Quality Tree Seed for Africa in Kenya and Rwanda</em> project and by the <strong>German International Climate Initiative (IKI)</strong> to the regional tree seed programme on <em>The Right Tree for the Right Place for the Right Purpose in Africa</em>. When using <strong>African Wood Density database</strong> in your work, cite the 2012 version (Carsan et al. <a href="https://apps.worldagroforestry.org/treesnmarkets/wood/">2012</a>) as well as this repository using the DOI.</p>
Merger seismology: distinguishing massive merger products from genuine single stars using asteroseismology (online data)
<h1><strong>Input and output files for "Merger seismology: distinguishing massive merger products from genuine single stars using asteroseismology" (Henneco et al. 2024b)</strong></h1> <p>This repository contains the MESA and GYRE input files required to reproduce the models used in Henneco et al. (2024b), as well as some of the output files.</p> <p><strong>[MESA version]</strong><br>MESA r12778<br>MESA SDK 20.3.2</p> <p><strong>[GYRE version]</strong><br>GYRE 7.0<br>MESA SDK 22.6.1</p> <p> </p> <h2><strong>input_files</strong></h2> <p>This directory contains the template input files for the MESA and GYRE models.</p> <h3><strong>gyre</strong></h3> <p>- gyre_nonrot_template.in: GYRE inlist for computations without rotation<br>- gyre_rot_template.in: GYRE inlist for computations, including rotation using the TAR<br>- gyre_rot_pert_template: GYRE inlist for computations including rotation using the perturbative approach</p> <h3><strong>mesa</strong></h3> <p>- <strong>genuine_single</strong>: MESA work directory for genuine single stars<br>- <strong>merger_product</strong>: MESA work directory for merger products via the fast accretion method<br>- <strong>zams_z0142_y2703.data</strong>: ZAMS models used to start all MESA computations from</p> <h2> </h2> <h2><strong>output</strong></h2> <h3><strong>mesa</strong></h3> <p>In this directory, we provide the MESA history and profile (GYRE format only) output for the MESA models used in our work.<br>The more detailed regular profile files are left out because of storage constraints, but these can be transferred upon reasonable request.</p> <p>- mXX_plus_mYY_at_rZZ: XX + YY Msol merger product model where the fast accretion method was invoked when the HG star had a radius of ZZ Rsol<br>- mXX: genuine single-star model of XX Msol</p> <h3><strong>gyre</strong></h3> <p>This directory contains the GYRE summary files and input files (with the frequency ranges specific to these models). The detail files are left out because of storage constraints, but these can be transferred upon reasonable request. </p> <p><strong>[suffixes]</strong><br>NAD: nonadiabatic computations<br>pmodes: computations in frequency ranges appropriate for pressure modes<br>Om20_PERT: computations including rotation (20% of critical) using the perturbative approach<br>Om20_TAR: computations including rotation (20% of critical) using the TAR</p> <p>Except for the computations in `m6.0_plus_m2.4_at_r9.0`, the GYRE computations have been made only for a specific MESA profile (the profile at the time when the models were seismically compared).<br>These are:</p> <p>-<strong> m6.0_plus_m2.4_at_r9.0</strong>: profile 38<br>- <strong>m7.8</strong>: profile 14<br>- <strong>m9.0_plus_m6.3_at_r10.4</strong>: profile 62<br>- <strong>m13.6</strong>: profile 16</p> <p>For the `m6.0_plus_m2.4_at_r9.0` model, GYRE computations have been made for profiles 27 -- 52 (see Section 4.2).</p>
Dataset Online grocery shopping recommender systems: common approaches and practices
<p>Standardized Excel form for data extraction. Extraction criteria were defined based on the sub-research questions that are provided in the paper. </p>
"Towards Responsible Publishing" - Online researcher survey questionnaire
<p><a href="https://www.research-consulting.com/" target="_blank" rel="noopener">Research Consulting</a> and the <a href="https://www.cwts.nl/" target="_blank" rel="noopener">Centre for Science and Technology Studies (CWTS)</a> were commissioned to determine to what extent the vision, mission and objectives set out in the TRP proposal serve the needs of the global research community. Through a consultative approach, we sought to assess whether there is appetite for the type of change proposed by cOAlition S in the TRP proposal. In addition, we aimed to understand how the ‘Towards Responsible Publishing’ proposal may be modified or refined to ensure it resonates with the research community and sees broad adoption; identify any showstoppers or unintended consequences and propose proactive measures to mitigate them, ensuring successful implementation; and ascertain whether the existing scholaly communication infrastructure can support this proposal and if not, identify where research funders can strengthen the infrastructure.</p> <p>As part of the consultation, the Centre for Science and Technology Studies and Research Consulting developed a researcher survey to gather researcher feedback on aspects of the scholarly communication system. This deposit provides our online survey questionnaire.</p>
Arctic PASSION Online Seminar on "Visualising permafrost landscape change: A new service from the EU Arctic PASSION project"
<p><strong>16 May 2024 at 11 AM GMT</strong></p> <p><strong></strong>In this online seminar, Arctic PASSION is introducing its pan-Arctic requirements-driven Permafrost Service. The Permafrost Service is based on remote sensing analyses, and detection and mapping of permafrost disturbances at high spatial resolution across large regions. The data helps to quantify landscape change, hydrological dynamics and permafrost vulnerability. In order to make the scientific findings easily accessible, we designed a tailored web-based portal specifically targeting non-scientific user communities, stakeholders and rightsholders. With the Arctic Landscape EXplorer (<a href="https://arcticpassion.eu/blog/ALEX">ALEX</a>), we provide interactive maps for recent information on land surface changes, hot spots of disturbances and potential areas of active permafrost thaw and erosion.</p> <p> </p> <p><strong>Speakers: </strong></p> <p>Tillmann Lübker (Geospatial Data Scientist at the Alfred Wegener Institute/Arctic PASSION)</p> <p>Guido Grosse (Head of the Permafrost Research Section at the Alfred Wegener Institute/Arctic PASSION) </p> <p>Moderation: Josefine Lenz (Project Manager at the Alfred Wegener Institute/Arctic PASSION)</p> <p> </p> <p><strong>Webinar recording: </strong>https://www.youtube.com/watch?v=XW5b7nk7sBw</p> <p> </p> <p><strong>Related links: </strong>https://arcticpassion.eu/blog/ALEX</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.