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4,404 results for “digits”
Digital research materials of spectral data for the article: [3+2]-Cycloaddition of azomethine ylides to 5-methylidene-3-aryl-2-сhalcogen-imidazolones: Access to dispiro indolinone-pyrrolidine-imidazolones
<p>Digital research materials of NMR spectral data for the article "[3+2]-Cycloaddition of azomethine ylides to 5-methylidene-3-aryl-2-сhalcogen-imidazolones: access to dispiro indolinone-pyrrolidine-imidazolones" submitted to the <em>Royal Society Open Science. </em>NMR spectra were recorded on Bruker Avance 400 and Agilent MR-400 spectrometers in DMSO-d<sub>6</sub> and C<sub>6</sub>D<sub>6</sub>. Chemical shifts were measured relative to residual solvent signals and referenced in parts per million to TMS. Original fid files are presented, which can be opened, for example, using the ASD Labs software package.</p>
Study questionnaire and material for evaluation of usefulness of digital ecosystem representation
<p>Contains study material (original German, translated to English) and study questionnaire (original in German, translated to English).</p>
Survey Questions and answers on Smart and sustainable Digital economy
<p>Survey Responses</p>
Digital Glossary of Sinhala Prakrit (version 2.0), letters N to Z
<p>Digital Glossary of Sinhala Prakrit (version 2.0), letters N to Z</p>
Digital Glossary of Sinhala Prakrit (version 2.0), letters A to M
<p>Digital Glossary of Sinhala Prakrit (version 2.0), letters A to M</p>
Digital health monitoring and digital endpoints in oncology
<p>Raw data set from GLOBOCAN and www.clinicaltrials.gov used for thesis work of "<strong>Digital health monitoring and digital endpoints in oncology</strong>"</p>
Bathymetric and surface digital model of the river-floodplain system corresponding to the Duero river reach between Toro and Zamora (Castilla y León).
<p>Digitally edited digital model to represent correctly and with hydraulic criteria the bridges, weirs, dips, roads and walls present in the area.</p>
Bathymetric and terrain digital model (representative of the geomorphological reference condition) of the river-floodplain system corresponding to the Douro reach between Toro and Zamora (Castilla y León).
<p>Digitally edited digital model to represent the previous geomorphological situation in the Toro-Zamora section.</p>
Bathymetric and surface digital model of the urban reach of the Douro River through Zamora (Castilla y León)
<p>The RAR file is composed of all files related to the Digital Bathymetric Model (DBM) and the Digital Surface Model (DSM). Among these files there are: the original rasters files; the files digitally modified to correctly represent all the hydraulic characteristics of the Duero River and those urban characteristics of Zamora; the rasters that represent the error made in both models, calculated by geostatistics; the files related to the geostatistics process. Also, it also includes the integration of both models (DBM plus DSM) to form a High Resolution Urban Digital Model (HRDUM) of the Duero River in it passes through Zamora.</p>
Nurses' experience of using video consultation in a digital care setting and its impact on their workflow and communication
<p>The dataset contains transcription of 15 interviews performed with nurses working in a digital care setting. It also includes the consent form which were sent to the participants in the study. The study aimed to explore nurses' experience of using video consultation in a digital care setting and its impact on their workflow and communication. All interviews were performed in Sweden. </p>
SPOT5 (2007), ASTER (2016) and SPOT7 (2018) Digital Elevation Models of Little Kluane Glacier (Yukon Territory)
<p>===========================</p> <p>Authors</p> <p>Etienne BERTHIER</p> <p>LEGOS, Université de Toulouse, CNES, CNRS, IRD, UPS, 31400 Toulouse, France,</p> <p>===========================<br> 1. Collection</p> <p>This collection contains three digital elevation models (DEMs) of "Little Kluane" Glacier (Yukon Territory, Canada) with an horizontal grid spacing of 30 m<br> * SPOT5, 13 September 2007<br> * ASTER, 30 September 2017<br> * SPOT7, 1 October 2018</p> <p>The original SPOT5 DEM was obtained from the SPIRIT project (Korona et al., 2009)<br> ASTER and SPOT7 DEMs have been derived using the Ames Stereo Pipeline (Beyer et al., 2018) from stereo images using the set of correlation of parameters in Deschamps-Berger et al. (2020)</p> <p>All DEMs have been coregistered and bias-corrected to the Copernicus 30 m global DEM following the methods of Berthier & Brun (2019)</p> <p><br> ===========================</p> <p>2. Dataset Acknowledgement</p> <p>* SPOT5 data were obtained thanks to funding from CNES during the fourth international polar year.<br> * SPOT7 data were obtained thanks to DINAMIS Project, for “Dispositif Institutionnel National d’Approvisionnement Mutualisé en Imagerie Satellitaire”, a French platform that acquires and distributes very high resolution Earth satellite imagery for French and foreign institutional users under specific subscription conditions.<br> * ASTER data were provided by NASA (U.S.) and METI (Japan).</p> <p>===========================</p> <p>3. Dataset Attribution</p> <p>This dataset is licensed under a Creative Commons CC BY-NC 4.0 International License (Attribution-NonCommercial).</p> <p><br> ===========================</p> <p>4. Related publication</p> <p>This dataset has been generated for and used in a publication to be submitted to the Journal of Glaciology :<br> Morin, A., Flowers, G. E., Nolan, A., Brinkerhoff, D. J., and Berthier, E.: Exploiting high-slip ?ow regimes to improve bed inference, submitted.<br> </p> <p>===========================</p> <p>5. Collection Location</p> <p>Yukon Territory of Canada<br> Bounding box: WGS 84 / UTM zone 7N</p> <p><north>6771585.730</north><br> <south>6739845.730</south><br> <east>564391.250</east><br> <west>601261.250</west></p> <p><br> ===========================</p> <p>References</p> <p>Berthier, E. and Brun, F.: Karakoram geodetic glacier mass balances between 2008 and 2016: persistence of the anomaly and influence of a large rock avalanche on Siachen Glacier, J Glaciol, 65, 494–507, https://doi.org/10.1017/jog.2019.32, 2019.<br> Beyer, R. A., Alexandrov, O., and McMichael, S.: The Ames Stereo Pipeline: NASA’s Open Source Software for Deriving and Processing Terrain Data, Earth and Space Science, 5, 537–548, https://doi.org/10.1029/2018EA000409, 2018.<br> Deschamps-Berger, C., Gascoin, S., Berthier, E., Deems, J., Gutmann, E., Dehecq, A., Shean, D., and Dumont, M.: Snow depth mapping from stereo satellite imagery in mountainous terrain: evaluation using airborne laser-scanning data, The Cryosphere, 14, 2925–2940, https://doi.org/10.5194/tc-14-2925-2020, 2020.<br> Korona, J., Berthier, E., Bernard, M., Remy, F., and Thouvenot, E.: SPIRIT. SPOT 5 stereoscopic survey of Polar Ice: Reference Images and Topographies during the fourth International Polar Year (2007-2009), ISPRS J. Photogramm., 64, 204–212, https://doi.org/10.1016/j.isprsjprs.2008.10.005, 2009.</p> <p> </p>
African Digital Research Repositories: Mapping the Landscape
<p>This data set accompanies the text at doi <a href="https://doi.org/10.5281/zenodo.3732273">10.5281/zenodo.3732273</a>. // Correspondence: JH: <a href="mailto:info@africarxiv.org">info@africarxiv.org</a>, SK: <a href="mailto:sk111@soas.ac.uk">sk111@soas.ac.uk</a></p> <p><strong>Visual Map: </strong><a href="https://kumu.io/access2perspectives/african-digital-research-repositories"><strong>https://kumu.io/access2perspectives/african-digital-research-repositories</strong></a><strong> <br> Dataset: </strong><a href="https://tinyurl.com/African-Research-Repositories"><strong>https://tinyurl.com/African-Research-Repositories</strong></a><br> <strong>Archived at </strong><a href="https://info.africarxiv.org/african-digital-research-repositories/"><strong>https://info.africarxiv.org/african-digital-research-repositories/</strong></a><strong> <br> Submission form: </strong><a href="https://forms.gle/CnyGPmBxN59nWVB38"><strong>https://forms.gle/CnyGPmBxN59nWVB38</strong></a></p> <p> </p> <p><strong>Licensing</strong>: Text and Visual Map – CC-BY-SA 4.0 // Dataset – CC0 (Public Domain) // The licensing of each database is determined by the database itself</p> <p>Preprint doi: <a href="https://doi.org/10.5281/zenodo.3732273">10.5281/zenodo.3732273</a>. <br> Data set doi: <a href="http://doi.org/10.5281/zenodo.3732172">10.5281/zenodo.3732172</a> // available in different formats (pdf, xls, ods, csv)</p> <p> </p> <p><strong><a href="https://info.africarxiv.org">AfricarXiv</a> in collaboration with the <a href="https://www.internationalafricaninstitute.org">International African Institute </a>(IAI) presents an interactive map of African digital research literature repositories. This drew from IAI’s earlier work from 2016 onwards to identify and list Africa-based institutional repositories that focused on identifying repositories based in African university libraries. Our earlier resources are available at </strong><a href="https://www.internationalafricaninstitute.org/repositories"><strong>https://www.internationalafricaninstitute.org/repositories</strong></a><strong>.</strong></p> <p><strong>The interactive map extends the work of the IAI to include organizational, governmental, and international repositories. It also maps the interactions between research repositories. In this dataset, we focus on institutional repositories for scholarly works, as defined by Wikipedia contributors (March 2020).</strong><br> </p> <p><strong>Objective</strong></p> <p>The map of African digital repositories was created as a resource to be used in activities addressing the following aims:</p> <ol> <li> <p>Improving the discoverability of African research and publications </p> </li> <li> <p>Enhance the interoperability of existing and emerging African repositories</p> </li> <li> <p>Identify ways through which digital scholarly search engines can enhance the discoverability of African research</p> </li> </ol> <p>We promote the dissemination of research-based knowledge from African repositories as part of a bigger landscape that also includes online journals, research data repositories, and scholarly publishers to enhance the interconnectivity and accessibility of such repositories across and beyond the African continent and to contribute to a more granular understanding of the continent’s scholarly resources. </p> <p> </p> <p><strong>Data archiving and maintenance</strong></p> <p>The map and corresponding dataset are hosted on the AfricArXiv website under ‘Resources’ at <a href="https://info.africarxiv.org/african-digital-research-repositories/">https://info.africarxiv.org/african-digital-research-repositories/</a>. The listing is not exhaustive and therefore we encourage any repositories relevant for the African continent not listed here to the <strong>submission form at </strong><a href="https://forms.gle/CnyGPmBxN59nWVB38"><strong>https://forms.gle/CnyGPmBxN59nWVB38</strong></a>, or to notify the International African Institute (email <a href="mailto:sk111@soas.ac.uk">sk111@soas.ac.uk</a>). Both AfricArXiv and IAI will continue to maintain the list of repositories as a resource for African researchers and other stakeholders including international African studies communities.</p>
Attitudes of Health Care Professionals Toward Older Adults' Abilities to Use Digital Technology: Open Access Data Sets
<p>Open access dataset related to 2 studies published under:</p> <p>Mannheim I, Wouters EJM, van Boekel LC, van Zaalen Y<br> Attitudes of Health Care Professionals Toward Older Adults’ Abilities to Use Digital Technology: Questionnaire Study<br> J Med Internet Res 2021;23(4):e26232<br> URL: https://www.jmir.org/2021/4/e26232<br> doi: 10.2196/26232</p>
A Cross-Domain Systematic Mapping Study on Software Engineering for Digital Twins
<p><strong>A Systematic Cross-Domain Mapping Study on the Software Engineering of Digital Twins</strong></p> <p>Manuela Dalibor, Nico Jansen, Bernhard Rumpe, David Schmalzing, Louis Wachtmeister, Manuel Wimmer, and Andreas Wortmann</p> <p>Digital Twins are currently investigated as the technological backbone for providing an enhanced understanding and management of existing systems as well as for designing new systems in various domains, e.g., ranging from single manufacturing components such as sensors to large-scale systems such as smart cities. Given the diverse application domains of Digital Twins, it is not surprising that the characterization of the term Digital Twin, as well as the needs for developing and operating Digital Twins are multi-faceted. Providing a better understanding what the commonalities and differences of Digital Twins in different contexts are, may allow to build reusable support for developing, running, and managing Digital Twins by providing dedicated concepts, techniques, and tool support. In this paper, we aim to uncover the nature of Digital Twins based on a systematic mapping study which is not limited to a particular application domain or technological space. We systematically retrieved a set of 1471 unique publications of which 529 were identified as potentially relevant and of which finally 356 were selected for further investigation. In particular, we analyzed the types of research and contributions made for Digital Twins, the expected properties Digital Twins have to fulfill, how Digital Twins are realized and operated, as well as how Digital Twins are finally evaluated. Based on this analysis, we also contribute a novel feature model for Digital Twins as well as several observations to further guide future software engineering research in this area.</p>
Digital replica of the Tomb of Reliefs at Cerveteri
<p>Survey and creation of a digital replica of the interior of the Tomb of Reliefs located in the Banditaccia Necropolis in Cerveteri (RM). It is the only Etruscan tomb (4th BC) decorated with stucco reliefs, unusual compared to the usual frescoes. The dataset, because of its high resolution and accuracy, is a useful tool for study, restoration planning and enhancement of an environment normally closed to the public for conservation reasons. The dataset was acquired with active (Faro laser scanner) and passive (full-frame SLR) sensors through a spherical photogrammetry campaign. The data were reprocessed by combining Structure from Motion techniques to obtain a photogrammetric solution and Computer Graphic for colour correction (with digital painting tools) and geometry and texture optimization. The data mainly concern the 3D domain, have been reprocessed primarily with open source software and are stored in open formats: photogrammetric solution in utf-8 txt files, point clouds in binary ply, polygon meshes with mapping coordinates in blend format, images in jpeg format. The working group consists of researchers from CNR-ISPC: Enzo d'Annibale, Emanuel Demetrescu, Daniele Ferdani.</p>
Digital elevation data of Nakadake first crater, Aso Volcano, Japan, in March and May 2015
<p>We here present two digital elevation models (DEMs) for the Nakadake first crater, Aso Volcano, Japan (Kazama et al., 2015). The DEMs were created using the software of Agisoft PhotoScan (version: 1.1.5), and synthesized from photographs taken with DJI Phantom 2 Vision FC200 and PENTAX Optio WG-2. Two zip files (1503.zip and 1505.zip) correspond to the DEMs as of March and May 2015, originating from the photo data taken on March 26-27 and May 8, 2015, respectively. In synthesizing the DEMs, the absolute coordinate of the ground surface was fixed by seven ground control points (GCPs) located around the crater; the GCPs' coordinates had been determined with GNSS surveys in advance.</p> <p>In each zip file (15??.zip), 15??.xyz indicates the raw topographic data, and its each line contains longitude [deg], latitude [deg] and elevation [m]. The DEM resolution is 0.000005 deg (~= 50 cm) for longitude and latitude, and 0.000001 m for elevation. Both 15??.stl and 15??.pdf are the three-dimensional shape of the DEM data, and they can be shown using typical 3D viewers and Adobe Acrobat Reader, respectively. Both 15??.jpg and 15??.kmz are the orthophotographs of the Nakadake crater; in particular, 15??.kmz can be projected to maps using map softwares such as Google Earth Pro.</p> <p>Note that the DEM coordinate may contain random and/or systematic errors greater than the DEM resolution. According to the PhotoScan software, the coordinate errors of the GCPs were estimated to be (longitude, latitude, elevation) = (0.62, 4.01, 6.87) and (4.27, 3.94, 1.78) meters for 1503.xyz and 1505.xyz, respectively.</p> <p>Acknowledgments: Aso Volcano Disaster Prevention Council helped us taking photographs at the Nakadake first crater.</p>
Using Delaunay triangulation to sample whole-specimen color from digital images
<p>1. Color variation is one of the most obvious examples of variation in nature, but biologically meaningful quantification and interpretation of variation in color and complex patterns is challenging. Many current methods for assessing variation in color patterns classify color patterns using categorical measures, provide aggregate measures that ignore spatial pattern, or both, losing potentially important aspects of color pattern.</p> <p>2. Here, we present Colormesh, a novel method for analyzing complex color patterns that offers unique capabilities. Our approach is based on unsupervised color quantification combined with geometric morphometrics to identify regions of putative spatial homology across samples, from histology sections to whole organisms. Colormesh quantifies color at individual sampling points across the whole sample.</p> <p>3. We demonstrate the utility of Colormesh using digital images of Trinidadian guppies (Poecilia reticulata), for which the evolution of color has been frequently studied. Guppies have repeatedly evolved in response to ecological differences between up- and downstream locations in Trinidadian rivers, resulting in extensive parallel evolution of many phenotypes. Previous studies have, for example, compared the area and quantity of discrete color (e.g., area of orange, number of black spots) between these up- and downstream locations neglecting spatial placement of these areas. Using the Colormesh pipeline, we show that patterns of whole-animal color variation do not match expectations suggested by previous work.</p> <p>4. Colormesh can be deployed to address a much wider range of questions about color pattern variation than previous approaches. Colormesh is thus especially suited for analyses that seek to identify the biologically important aspects of color pattern when there are multiple competing hypotheses, or even no a priori hypotheses at all.</p>
FIGURES –. Cocconeis sp. (cf. C. bilicis F.Meister). SEM (New Caledonia, Melanesia). Different specimens with SV sectors separated (or not) by a crista marginalis (21, 24), SV striae uniseriae near the sternum and biseriate thereafter (21, 24), SV areolae lumen with circular ornamentation (23, arrow), crista marginalis (22), SVVC in advalvar view with digit fimbriae (25, arrowhead), large RV axial concave area (26). Scale bars = 6 µm (24), 5 µm (26), 4 µm (21), 3 µm (25), 1 µm (22–23). in Marine Achnanthales (Bacillariophyceae) from New Caledonia (Melanesia): assemblage specificities, ultramafic environment
FIGURES –. Cocconeis sp. (cf. C. bilicis F.Meister). SEM (New Caledonia, Melanesia). Different specimens with SV sectors separated (or not) by a crista marginalis (21, 24), SV striae uniseriae near the sternum and biseriate thereafter (21, 24), SV areolae lumen with circular ornamentation (23, arrow), crista marginalis (22), SVVC in advalvar view with digit fimbriae (25, arrowhead), large RV axial concave area (26). Scale bars = 6 µm (24), 5 µm (26), 4 µm (21), 3 µm (25), 1 µm (22–23).
Coleoptera of the California Channel Islands - digitized specimen records
<p>This is a curated dataset containing over 26,000 digitized specimen records from the California Channel Islands belonging to the order Coleoptera (beetles).</p> <p>The live dataset is managed in the data portal 'Ecdysis' and can be accessed here: https://serv.biokic.asu.edu/ecdysis/collections/list.php?datasetid=2,3,4,5,6,7,8,9</p> <p>Subsets of records for each of the 8 individual Channel Islands can be found here:</p> <p>San Clemente - https://serv.biokic.asu.edu/ecdysis/collections/list.php?datasetid=2</p> <p>San Nicolas - https://serv.biokic.asu.edu/ecdysis/collections/list.php?datasetid=3</p> <p>Santa Catalina - https://serv.biokic.asu.edu/ecdysis/collections/list.php?datasetid=4</p> <p>Santa Barbara - https://serv.biokic.asu.edu/ecdysis/collections/list.php?datasetid=5</p> <p>San Miguel - https://serv.biokic.asu.edu/ecdysis/collections/list.php?datasetid=6</p> <p>Santa Rosa - https://serv.biokic.asu.edu/ecdysis/collections/list.php?datasetid=7</p> <p>Santa Cruz - https://serv.biokic.asu.edu/ecdysis/collections/list.php?datasetid=8</p> <p>Anacapa - https://serv.biokic.asu.edu/ecdysis/collections/list.php?datasetid=9</p>
Implementation and evaluation of a multilingual search pilot in the Europeana digital library (dataset)
<p>The dataset contains the data required to reproduce the experiments done in the paper "Implementation and evaluation of a multilingual search pilot in the Europeana digital library", published in the 26th International Conference on Theory and Practice of Digital Libraries (<a href="http://tpdl2022.dei.unipd.it/">TPDL'22</a>). In that work we implemented a pilot applying query translation to English from the Spanish version of the website in order to surface results that have English metadata associated with them. The dataset is also available at <a href="https://rnd-2.eanadev.org/share/crosslingual_SpanishPilot/">https://rnd-2.eanadev.org/share/crosslingual_SpanishPilot/</a>, and it is organized in three main folders:</p> <ul> <li><strong>sample</strong>: stratified sample of 300 queries queries issued from the Europeana Spanish portal from 1st<br> December 2020 to 28th February 2021.</li> <li><strong>evaluation.translations: </strong>manual annotation of the quality of the identification of the language of the queries using Google Cloud Translation API, and the quality of the translation obtained using Google plus the CEF translation service (eTranslation).</li> <li><strong>evaluation.search_retrieval: </strong>manual annotation of the relevancy of the (binary) relevance of the documents that are retrieved by one system but not by the other (current monolingual version vs pilot) in their top ten.</li> </ul>
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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.