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4,404 results for “digits”
A Systematic Mapping of the Classification of Open Educational Resources for Computer Science Education in Digital Sources (Data)
<p>Data from a Systematic Mapping of the classification of Open Educational Resources for Computer Science Education.</p> <p>Content:</p> <ul> <li>Studies selected</li> <li>Digital sources used to classify Open Educational Resources for Computer Science Education</li> <li>Computer Science domains explored by Open Educational Resources</li> <li>Approaches for the classification of Open Educational Resources for Computer Science Education</li> </ul>
A 3D Adult Zebrafish Brain Atlas (AZBA) for the Digital Age
<p>Zebrafish have made significant contributions to our understanding of the vertebrate brain and the neural basis of behavior, earning a place as one of the most widely used model organisms in neuroscience. Their appeal arises from the marriage of low cost, early life transparency, and ease of genetic manipulation with a behavioral repertoire that becomes more sophisticated as animals transition from larvae to adults. To further enhance the use of adult zebrafish, we created the first fully segmented three-dimensional digital <u>a</u>dult <u>z</u>ebrafish <u>b</u>rain <u>a</u>tlas (AZBA). AZBA was built by combining tissue clearing, light-sheet fluorescence microscopy, and three-dimensional image registration of nuclear and antibody stains. These images were used to guide segmentation of the atlas into over 200 neuroanatomical regions comprising the entirety of the adult zebrafish brain. As an open source, online (azba.wayne.edu), updatable digital resource, AZBA will significantly enhance the use of adult zebrafish in furthering our understanding of vertebrate brain function in both health and disease.</p>
A digital edition of the 389 Chorale Settings (Choralgesänge) by J.S. Bach
<p>This repository has been made possible by Gertim Alberda, who 'manually' digitalized all the 389 Bach 4-voice chorales, as published by the <a href="https://imslp.org/wiki/Special:ReverseLookup/348824">Breitkopf edition 'nr. 3765'</a>. For this he meticulously transcribed all the notes and lyrics of that edition, by using the music notation editor MuseScore (MS). He checked it against both BGA and NBA (Bach-Gesellschaft Ausgabe and Neue Bach-Ausgabe), if there was any reasonable doubt for it, and even found and improved a couple of mistakes that way (<10). Solely for performance reasons, he also applied many hidden (grey) extras in MS to make the scores and its phrasing sound as realistic as possible; hidden fermatas, tempo changes, breath pauses, phrasing, note-cutbacks, etc. This was all done to 'humanize' the playback and make it sound like a real choir performance (without words), and given the technical limitations at that time (2016-2018). Also see the <a href="https://gertim-alberda.com/chorales/info.html">Info</a> tab on his website.</p> <p>The full corpus resides on Gertim Alberda's <a href="https://gertim-alberda.com/chorales">dedicated website</a>. The scores there have synchronized play back (synthesized and human performances) available and can be downloaded in various formats (mscz/xml/midi/mp3/pdf). <a href="https://gertim-alberda.com/chorales/BachChorales/B288.html">Here is an example</a> of his playback page. His intention is to have only human performances available (YT videos and/or mp3's) for all the scores, but that is still an ongoing process (see the <a href="https://gertim-alberda.com/chorales/changelog_bach_chorales.html">changelog</a> on his website). He has agreed to share his MS files under a <a href="https://creativecommons.org/licenses/by-nc-sa/4.0/">Creative Commons BY-NC-SA 4.0</a> license. The license prohibits the use of the scores for any commercial purpose, including the training of machine learning models for use in commercial products.</p> <h2>Contents</h2> <p>The "mother of all datasets" is available as two versions, each contained in a separate folder:</p> <ul> <li><code>original_complete</code>: Gertim Alberda's original MuseScore files converted to uncompressed MuseScore 3 format (<code>.mscx</code>)</li> <li><code>vocal_parts_only</code>: Alternative version of the dataset containing no instrumental parts.</li> </ul> <h2>Version history</h2> <p>See the <a href="https://github.com/johentsch/389_chorale_settings/releases">GitHub releases</a>.</p> <h2>Questions, Suggestions, Corrections, Bug Reports</h2> <p>Please <a href="https://github.com/johentsch/389_chorale_settings/issues">create an issue</a> and/or feel free to fork and submit pull requests.</p> <h2>License</h2> <p>Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (<a href="https://creativecommons.org/licenses/by-nc-sa/4.0/">CC BY-NC-SA 4.0</a>).</p>
Digital Forestry Toolbox - Sample data
<p>This repository contains airborne laser scanning data samples acquired by the states of Geneva, Solothurn and Zurich (in Switzerland). They are used in the tutorials of the <a href="https://github.com/mparkan/Digital-Forestry-Toolbox">Digital Forestry Toolbox for Matlab/Octave</a>.</p> <p>The full datasets (covering the complete state extents) are available from here: </p> <ul> <li><a href="https://maps.zh.ch/">https://maps.zh.ch/</a></li> <li><a href="https://geoweb.so.ch/map/lidar">https://geoweb.so.ch/map/lidar</a></li> <li><a href="https://ge.ch/sitg/donnees">https://ge.ch/sitg/donnees</a></li> </ul> <p><strong>Sources</strong> <strong>and usage conditions</strong>:</p> <ul> <li>Canton de Genève, Département de l'aménagement, du logement et de l'énergie (DALE), Système d'information du territoire à Genève (SITG). Dataset extracted on December 6, 2018. <a href="https://ge.ch/sitg/media/sitg/files/documents/conditions_generales_dutilisation_des_donnees_et_produits_du_sitg_en_libre_acces.pdf">See usage conditions</a>.</li> <li>Kanton Zürich, <a href="https://are.zh.ch/internet/baudirektion/are/de/aktuell.html">Baudirektion, Amt für Raumentwicklung</a>. Dataset extracted on December 6, 2018. <a href="https://are.zh.ch/internet/baudirektion/are/de/geoinformation/geodaten_uebersicht/Open_Data_Kanton_Zuerich.html#datenbezug">See usage conditions</a>.</li> <li>Kanton Solothurn, <a href="https://www.so.ch/verwaltung/bau-und-justizdepartement/">Bau- und Justizdepartement, Amt für Geoinformation</a>. Dataset extracted on December 6, 2018. <a href="https://geoweb.so.ch/geodaten/index.php?action=nutzung&UID=&USR=&user_id=&lang=de&menue=&aktuell=&sogis_zip_ie=">See usage conditions</a>.</li> </ul>
NASA SRTM Digital Elevation 30m (Libya)
<p>The Shuttle Radar Topography Mission digital elevation data is an international research effort that obtained digital elevation models on a near-global scale.</p> <p>Dataset Provider</p> <p>NASA / USGS / JPL-Caltech</p> <p>Description: Elevation</p> <p>Units: Meters</p> <p> </p> <p>Pixel Size: 1 arc-second (~30 meters)</p> <p> </p> <p>Dataset Date: 2000s</p> <p>Projection: WGS84</p>
Droplet digital PCR (ddPCR) as a tool for investigating dynamics of cryptic symbionts
<p>Interactions among symbiotic organisms and their hosts are major drivers of ecological and evolutionary processes. Monitoring the infection patterns among natural populations and identifying factors affecting these interactions is critical for understanding symbiont-host relationships. However, many of these interactions remain understudied since the knowledge about the symbiont species is lacking and hinders the development of appropriate tools. In this study, we developed a digital droplet PCR (ddPCR) assay based on apicomplexan COX1 gene to detect an undescribed agamococcidian symbiont. We show that the method gives precise and reproducible results and enables detecting cryptic symbionts in low target concentration. We further exemplify the assay's use to survey seasonally sampled natural host (Pygospio elegans) populations for symbiont infection dynamics. We found that symbiont prevalence differs spatially but does not show seasonal changes. Infection load differed between populations and was low in spring and significantly increased towards fall in all populations. We also found that the symbiont prevalence is affected by host length and population density. Larger hosts were more likely to be infected and high host densities were found to have lower probability of infection. The observed variations could be due to characteristics of both symbiont and host biology, especially the seasonal variation in encounter rates. Our findings show that the developed ddPCR assay is a robust tool for detecting undescribed symbionts that are otherwise difficult to quantify, enabling further insight into the impact cryptic symbionts have on their hosts.</p>
Data Set Literature Review Digital Forensic and Forensic Sciences
<p>Data ini digunakan untuk membuat penelitian sesuai dengan tinjauan literatur dengan kata kunci "<em>Digital Forensic</em>" dan "<em>Forensic Sciences</em>"</p>
Dataset Literature Review Digital Forensic and Forensic Anthropology Population Data
<p>Data ini dipergunakan untuk membuat penelitian sesuai dengan Tinjauan Literatur dengan kata kunci "<em>Digital Forensik</em> dan <em>Forensic Anthropology Population Data"</em></p>
Data UTS Digital Forensik
<p>Dipublikasikan sebagai syarat membuat artikel untuk Ujian Tengah Semester (UTS) matakuliah Digital Forensik di Universitas Muhammadiyah Sidoarjo</p>
Dataset Literature Review Digital Forensic AND Forensic Sciences
<p>Data ini digunakan untuk membuat penelitian berdasarkan tinjauan literatur dengan kata kunci "Digital Forensic" dan "Forensic Sciences"</p>
Dataset Literature Review Digital Forensic AND Forensic Anthropology Population Data
<p>Data ini digunakan untuk membuat penelitian berdasarkan tinjauan literatur dengan kata kunci "digital forensic" dan "forensic anthropology population data"</p>
Dataset Literature Review Digital Forensic
<p>data ini diambil dengan menggunakan analisis lens.org serta kata kunci digital forensic and fingerprints. dan menggunakan filter tipe dokumen jurnal artikel, subjek hukum, dan menggunakan tahun publikasi 2012-2022.</p>
Trust in Digital Health dataset
<p>The Trust in Digital Health project was conducted by the Centre for Social Research in Health, UNSW Sydney in collaboration with community organisations to assess views of digital health systems in Australia, particularly among communities affected by bloodborne viruses and sexually transmissible infections. We conducted a national, online survey of Australians' attitudes to digital health in April–June 2020. The sample (N=2,240) was recruited from the general population and four priority populations affected by HIV and other sexually transmissible infections: gay and bisexual men, people living with HIV, sex workers, and trans and gender-diverse people. The deidentified dataset and syntax provided here were used for an analysis of factors associated with greater knowledge of My Health Record and the likelihood of opting out of the system. My Health Record is Australia's national, digital, personal health record system. </p>
A Scalable Data Management System Data Model facilitating the integration of any inspection system and the automated data digitalization process.
<p>In the context of the EU-funded project PILOTING (No. 871542), a scalable Data Management System (DMS) was deployed and facilitated the easy integration of nine different robotic systems and various payloads and the storing of all the data observations produced during the inspections. In particular, a three-phase methodology was adopted for the creation of the DMS Data Model (DMS-DM) in order to define the architectural design of the DMS. <br> The first phase was to semantically define the entities of the PILOTING ecosystem, identifying assets and activities that were important to the data providers, and including them in the data model design. The second phase was to identify relationships between the entities, focusing on information that must pre-exist for entities to be semantically accurate, hierarchies between entities, especially physical assets, and the data needed to form the inspection plan. For the third phase, the information collected by the previous two stages of the data model construction was used to create the overall data model, taking into consideration the possible integration with third parties and the needs of the I&M Visualization portal. <br> The constructed document is attempted to present the designed Entity-Relationship-Diagram (ERD) of the DMS-DM. Additional definitions of the existing entities and the relations between them are also depicted. </p>
Seismic Inverted Impact force and Digital Elevation Models before and after the 2018 Baige Landslide
<p>For the data of inverted seismic force, the seismic signals recorded by the broadband seismic stations were prepared for the inversion of the force-time function by the following series of actions:</p> <ul> <li>Removing the instrumental response</li> <li>Resampling to 0.5 s</li> <li>Integrating the signals from velocity to displacement</li> <li>Rotating the horizontal components to the radial and transverse direction</li> <li>Filtering the signals between periods of 30 and 140 s</li> </ul> <p>For the digital elevation models (DEMs) of the Baige landslide, the pre-failure DEM with 10 m grid spacing was obtained from the Sichuan Bureau of Surveying Mapping and Geoinformation (SBSMG). At the same time, the post-failure DEM was derived from the UAV-based photogrammetry.</p>
Preservação Digital
<p>Resultados de consulta em base de dados sobre o tema da preservação digital, citando os autores e palavras-chaves de maior incidência na pesquisa, com demostrativo gráfico.</p> <p>Consta assinatura do autor</p> <p>Atividade da disciplina Tecnologia da Informação I do Curso de Arquivologia na fase de inclusão do documento elaborado em repositório digital.</p>
Digital Community Heritage and Open Access Dataset
<p>Dataset containing 27 digital community heritage initiatives, defined as online initiatives where community members or users contribute to a community heritage-related common cause, which promotes the interests of the community(ies) and/or the greater public.</p> <p>Access the report: Ziku, M., & Fabos, B. (2022). Digital Community Heritage and Open Access. CC Open Culture Working Group Digital Community Heritage. https://doi.org/10.21428/9eb74dbf.0c46e6be</p>
Armony Altinier: What Does Green Digital Accessibility Mean to You?
<p>In this video Dr. Armony Altinier, co-founder of Koena shares her opinion on green digital accessibility.</p>
Gert Vercauteren: What Does Green Digital Accessibility mean to you?
<p> </p> <p>Tenure Track Professor Gert Vercauteren from University of Antwerp shares his thoughts on the concept of Green Digital Accessibility.</p>
Dataset for attitude measures towards Dengue control efforts with the potential of digital technology during COVID-19
<div class="J0lOec"><span class="VIiyi"><span class="JLqJ4b ChMk0b"><span class="Q4iAWc">This data contains a questionnaire and a data set of structural equation modeling for Attitude Towards Dengue Control Efforts with the Potential of Digital Technology.</span></span> <span class="JLqJ4b ChMk0b"><span class="Q4iAWc">The variables are grouped into six namely the need for digital information systems, perceptions of being threatened with dengue, the benefits of dengue control programs, program constraints on environmental factors and attitudes in dengue control.</span></span> <span class="JLqJ4b ChMk0b"><span class="Q4iAWc">Data was collected online using Google Forms.</span></span></span></div>
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.