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2,359 results for “online”
FIG. 6 in Teaching Ichthyology Online with a Virtual Specimen Collection
FIG. 6. Examples of worksheet pages completed by students in the online version of FW316, Systematics of Fishes. Drawings 2020 K. Webber (upper panel) and 2020 T. Chapman (lower panel), used with permission of their creators.
FIG. 7 in Teaching Ichthyology Online with a Virtual Specimen Collection
FIG. 7. Two-dimensional images from the virtual specimen collection. Species and specimens pictured: Cymatogaster aggregata (OS5910), Dendrochirus sp. (OS teaching collection), Lepomis macrochirus (OS18438), Oncorhynchus tshawytscha (OS16943), Parophrys vetulus (OS898), Hydrolagus colliei (OS1942), Percopsis transmontana (OS17965), Catostomus bondi (OS16985), and Lepisosteus oculatus (OS teaching collection). (Credit: M. Burns, K. Knight, and M. Vazquez).
FIG. 4 in Teaching Ichthyology Online with a Virtual Specimen Collection
FIG. 4. Paired lateral and ventral views of a Pacific Spiny Lumpsucker specimen (Eumicrotremus orbis, OS6725). (Credit: K. Knight).
FIG. 1 in Teaching Ichthyology Online with a Virtual Specimen Collection
FIG. 1. Tiered application architecture diagram outlining the design of the virtual specimen collection. The collection's middleware processes user queries to retrieve relevant data and images from cloud storage, and then constructs a dynamic webpage displaying those data or allowing the user to modify the desired section of the database. (Credit: M. Kindred).
FIG. 3 in Teaching Ichthyology Online with a Virtual Specimen Collection
FIG. 3. The photography room at the Oregon State Ichthyology Collection, including photo tanks, LED arrays, camera, and tripod. (Credit: B. Sidlauskas).
FIG. 2 in Teaching Ichthyology Online with a Virtual Specimen Collection
FIG. 2. The species page for Ptychocheilus oregonensis from the virtual specimen collection, including links to lateral views of alcohol-preserved specimens, a closeup of the gill rakers, and cleared and stained material. Clicking on any image pulls up a full-size version and some accompanying metadata, such as the species identification and the specimen's catalog number. Scrolling down reveals more textual information. (Credit: B. Sidlauskas).
Online survey data: Exploring the socio-economic dynamics and innovation capacities of rural food and farming microbusinesses
<p>Online survey data which, in compilation with focus group data, formed the basis for our NICRE-funded report into the socio-economic dynamics and innovation capacities of rural food and farming microbusinesses. Full report is available here: https://eprints.glos.ac.uk/11449/ </p>
Crack in Sicilia - risposte al questionario online
<p>Risposte al questionario online "Crack in Sicilia" rimasto disponibile per la compilazione agli operatori dei SerT e delle Comunità terapeutiche della regione Siciliana dal 30 marzo al 19 aprile 2023.</p>
Online Appendix of "Why Don't We Trace? A Study on the Barriers to Software Traceability in Practice"
<p>This is the online appendix of the paper "Why Don't We Trace? A Study on the Barriers to Software Traceability in Practice", authored by Marcela Ruiz, Jimmy Hu, and Fabiano Dalpiaz.</p> <p>This contains five files:</p> <ul> <li>Software traceability survey.pdf - a PDF version of the survey that was used in the paper to collect information about traceability practices and the challenges experienced by practitioners;</li> <li>Software_traceability_InterviewProtocols.pdf - the interview protocol that was used to complement the survey with more in-depth information;</li> <li>Survey_Demographics_Final_V2.0.xlsx - demographic information about the participants in our study;</li> <li>Survey_SPSS.xlsx - the raw data used for the analysis via SPSS, and the results obtained through SPSS;</li> <li>Survey_StackedBar_Final_V1.4.xlsx - the Excel sheet we used to generate the stacked bar charts shown in the paper.</li> </ul>
Áudios Jogos Online
<p>Esta base de dados foi criada com o propósito de fornecer um conjunto de dados para o treinamento e desenvolvimento de algoritmos de reconhecimento de emoções em áudio de jogos online e em chat de voz em tempo real. O reconhecimento de emoções em comunicações de voz é uma área de pesquisa em rápida evolução, e esta base de dados visa contribuir para o avanço nesse campo.</p> <p>A base de dados contém uma ampla variedade de amostras de áudio, incluindo gravações de comunicações de voz em tempo real durante sessões de jogos online. Essas amostras de áudio foram anotadas manualmente por especialistas humanos para identificar as emoções expressas pelos participantes. As emoções podem incluir, mas não estão limitadas a, felicidade, tristeza, raiva, medo, surpresa e neutralidade.</p> <p>As gravações de áudio foram obtidas a partir de diferentes jogos online e plataformas de chat de voz, abrangendo uma variedade de cenários e contextos.</p>
Online Mendelian Inheritance in Man (OMIM): Comprehensive genetic disorder database for inherited phenotypes and genes
<p><strong>ABSTRACT: </strong></p> <p>Online Mendelian Inheritance in Man (OMIM) is a comprehensive and authoritative research resource that provides curated descriptions of human genes and phenotypes, along with their intricate relationships. I have compiled a dataset that specifically focuses on genes from the Online Mendelian Inheritance in Man database. The dataset includes the unique identifiers (MIM IDs) and names of these OMIM genes.</p> <p><strong>Instructions:</strong></p> <p>Dataset was downloaded and uploaded to excel to have unnecessary columns removed. Then dataset was imported to Jupyter Notebook and further cleaned of the nullified values and unrelated gene types such as phenotypes and etc. A new column with the respective links was added to make a total of 4 columns with one type: genes. Dataset was uploaded to the drg-depot cheaha.</p> <p><strong>Inspiration:</strong></p> <p>This dataset uploaded to U-BRITE for "DRG_DEPOT" summer 2023 team project.</p> <p><strong>Acknowledgements:</strong></p> <p>Joanna S. Amberger, Carol A. Bocchini, François Schiettecatte, Alan F. Scott, Ada Hamosh</p> <p><em>Nucleic Acids Research</em>, Volume 43, Issue D1, 28 January 2015, Pages D789–D798, DOI: <a href="https://doi.org/10.1093/nar/gku1205">https://doi.org/10.1093/nar/gku1205</a></p> <p><strong>OMIM Access to Gene Information:</strong> https://omim.org/search/advanced/entry</p> <p>U-BRITE Last Updated: July 5, 2023</p>
Online Ranking System Effects on Perceived Fairness
<p>Dataset for Online Ranking System Effects on Perceived Fairness</p>
Dataset - On the performance of online adaptation of robots controlled by nanowire networks
<p>Dataset of the experiments considered in the article in the title</p>
Dataset of the Kunbaja online resource
<p>Data of the Kunbaja online resource model built in QGIS as dataset in the .xlsx file format</p>
Supplementary material 5 from: Maher J, Stringham OC, Moncayo S, Wood L, Lassaline CR, Virtue J, Cassey P (2023) Weed wide web: characterising illegal online trade of invasive plants in Australia. NeoBiota 87: 45-72. https://doi.org/10.3897/neobiota.87.104472
Distribution of the mean difference in price for declared plant taxa between prohibited and permitted jurisdictions
Supplementary material 3 from: Maher J, Stringham OC, Moncayo S, Wood L, Lassaline CR, Virtue J, Cassey P (2023) Weed wide web: characterising illegal online trade of invasive plants in Australia. NeoBiota 87: 45-72. https://doi.org/10.3897/neobiota.87.104472
List of search term exceptions used to remove the majority of false positives in target sample dataset
Supplementary material 7 from: Maher J, Stringham OC, Moncayo S, Wood L, Lassaline CR, Virtue J, Cassey P (2023) Weed wide web: characterising illegal online trade of invasive plants in Australia. NeoBiota 87: 45-72. https://doi.org/10.3897/neobiota.87.104472
The number of observations for plant taxa prohibited to trade (i.e., declared plants) that were advertised with uses by traders
Supplementary material 4 from: Maher J, Stringham OC, Moncayo S, Wood L, Lassaline CR, Virtue J, Cassey P (2023) Weed wide web: characterising illegal online trade of invasive plants in Australia. NeoBiota 87: 45-72. https://doi.org/10.3897/neobiota.87.104472
The price of plants advertised online in Australia from a random sample of 625 advertisements from each jurisdiction
Supplementary material 6 from: Maher J, Stringham OC, Moncayo S, Wood L, Lassaline CR, Virtue J, Cassey P (2023) Weed wide web: characterising illegal online trade of invasive plants in Australia. NeoBiota 87: 45-72. https://doi.org/10.3897/neobiota.87.104472
Total number of detections for invasive plants which are prohibited to trade in at least one Australian jurisdictions
Online accompaniment to MIP Relaxations in Factorable Programming
<p>This dataset contains polynomial optimization instances and sample formulations used in a paper entitled <em>MIP Relaxations in Factorable Programming</em> by Taotao He and Mohit Tawarmalani.</p> <p>Nonlinear models are implemented using <a href="http://jump.dev/JuMP.jl/stable/">JuMP</a>. JuMP models can be created from <a href="https://en.wikipedia.org/wiki/Nl_(format)">AMPL's NL</a> files using <a href="https://jump.dev/JuMP.jl/stable/api/JuMP/#JuMP.read_from_file"><code>read_from_file</code></a>. </p> <p>Sample formulations of MIP and CRMIP used in the paper are included in .rtf files. </p> <p> </p> <p> </p>
ScienceDex guides
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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.