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482 results for “Digital data”

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dryad32/100

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>

opencc-zeroJan 2022View details →
zenodo32/100

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&rsquo; 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>

opencc-by-4.0Apr 2021View details →
zenodo32/100

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,&nbsp;Aso Volcano, Japan (Kazama et al., 2015).&nbsp;The DEMs were created using the software of Agisoft PhotoScan (version: 1.1.5),&nbsp;and synthesized from photographs taken with DJI Phantom 2 Vision FC200 and PENTAX Optio WG-2.&nbsp;Two zip files (1503.zip and 1505.zip) correspond to the DEMs as of March and May 2015,&nbsp;originating from the photo data taken on March 26-27 and May 8, 2015, respectively.&nbsp;In synthesizing the DEMs, the absolute coordinate of the ground surface was fixed&nbsp;by seven ground control points (GCPs) located around the crater;&nbsp;the GCPs&#39; coordinates had been determined with GNSS surveys in advance.</p> <p>In each zip file (15??.zip), 15??.xyz indicates the raw topographic data,&nbsp;and its each line contains longitude [deg], latitude [deg] and elevation [m].&nbsp;The DEM resolution is 0.000005 deg (~= 50 cm) for longitude and latitude, and 0.000001 m for elevation.&nbsp;Both 15??.stl and 15??.pdf are the three-dimensional shape of the DEM data,&nbsp;and they can be shown using typical 3D viewers and Adobe Acrobat Reader, respectively.&nbsp;Both 15??.jpg and 15??.kmz are the orthophotographs of the Nakadake crater;&nbsp;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.&nbsp;According to the PhotoScan software, the coordinate errors of the GCPs were estimated to be&nbsp;(longitude, latitude, elevation) = (0.62, 4.01, 6.87) and (4.27, 3.94, 1.78) meters&nbsp;for 1503.xyz and 1505.xyz, respectively.</p> <p>Acknowledgments:&nbsp;Aso Volcano Disaster Prevention Council helped us taking photographs at the Nakadake first crater.</p>

opencc-by-nc-4.0Jun 2022View details →
zenodo32/100

Distribution. Known only from type locality on S coast of Seram I, Indonesia. Descriptive notes. Head-body 123 mm, tail 128 mm, ear 14-6 mm, hindfoot 26-2 mm; weight 65 g (all mensural data are from holotype). Pavel's Seram Mosaic-tailed Rat is very small-bodied, with dorsal pelage soft and brightly colored rufescent reddish brown, hairs with graybases, and venter contrastingly pure white; tail is slightly longer than head-body length, all black in color, tail scales raised, one hair per scale, scale hairs very short. Upper surfaces of feet are dark gray; hindfeet broad, with first digit long. Cranium is relatively narrow, with nasal profile flat; teeth very small. Single known specimen (the holotype), a pregnant female, has four mammae. in Muridae

Distribution. Known only from type locality on S coast of Seram I, Indonesia. Descriptive notes. Head-body 123 mm, tail 128 mm, ear 14-6 mm, hindfoot 26-2 mm; weight 65 g (all mensural data are from holotype). Pavel's Seram Mosaic-tailed Rat is very small-bodied, with dorsal pelage soft and brightly colored rufescent reddish brown, hairs with graybases, and venter contrastingly pure white; tail is slightly longer than head-body length, all black in color, tail scales raised, one hair per scale, scale hairs very short. Upper surfaces of feet are dark gray; hindfeet broad, with first digit long. Cranium is relatively narrow, with nasal profile flat; teeth very small. Single known specimen (the holotype), a pregnant female, has four mammae.

opennotspecifiedNov 2017View details →
zenodo32/100

Updated January 2022 Data Compiled by Auer, Cornelli, and Frost in "Rise of the central bank digital currencies: drivers, approaches and technologies" (2020) and added to by Bowen

<p>Auer, Cornelli and Frost pulled all of the data together and sorted and analyzed it for their paper &quot;Rise of the central bank digital currencies: drivers, approaches and technologies&quot; (2020). Bowen added the tabs &quot;All Country Data,&quot;&nbsp;&quot;Developed Country Data,&quot; and &quot;Averaged Data for Speeches&quot; for her own dissertation.</p>

opencc-by-4.0Aug 2022View details →
zenodo32/100

Digital Economy, COVID-19 and Employment - Data and Commands

<p>&nbsp; The compressed file contains the data and commands for the paper. The data file named SampleData.dta contains the data set. The command file named Command.do contains all the execution commands. Please note that the commands interact with the data set.</p>

opencc-by-4.0Sep 2022View details →
zenodo32/100

Network Theme: Digital and data-driven blood monitoring and analytics for patient centred care pathways - Dr Weizi (Vicky) Li (Henley Business School, University of Reading)

<p>This video is the fifth talk from our Future Blood Testing Network Plus Launch that took place on the 23/11/2021.</p> <p>Network Theme: Digital and data-driven blood monitoring and analytics for patient centred care pathways - Dr Weizi (Vicky) Li (Henley Business School, University of Reading).</p> <p>Bio: Dr Weizi (Vicky) Li is the PI of the Future Blood Testing Network, an Associate Professor of Informatics and Digital Health, Deputy Director in Informatics Research Centre, Henley Business School, University of Reading. She is an interdisciplinary researcher focusing on using informatics, data science, machine learning, and digital information systems to solve real-world healthcare challenges. She is the academic lead of a large collaborative project of Improving the Quality of Healthcare through an Integrated Clinical Pathway Management Approach and Cloud based Digital Data Integration Platform, which was awarded ESRC O2RB Excellence in Impact Award in 2018 for her research impact on healthcare quality improvement. She is the academic lead of machine learning based decision support system for outpatient management which has successfully been implemented in Royal Berkshire NHS Foundation Trust and has received Research Engagement and Impact award in 2020. She has been PI on projects funded by ESRC, EPSRC, The Health Foundation, NHS and companies, working on data-driven decision support systems that use real-world data (under privacy preserving framework) from multiple sources including Electronic Patient Record in acute, community hospital and primary care settings, remote health monitoring and patient reported outcomes to develop novel technologies (including AI based methods) to support clinical and operational decision makings in patient pathway.</p> <p>Further details on this event can be found at: https://futurebloodtesting.org/event/23-11-21-future-blood-testing-network-launch/</p> <p>This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1</p> <p>YouTube Link:&nbsp;https://youtu.be/egINC9hJifI</p>

opencc-by-4.0Nov 2021View details →
zenodo32/100

NOAA Coastwatch Satellite Course (Set up an Application Model of Digital Satellite Data Simulation by Video Graphic Technology of Oceanic data Remotely Sensed of algerian coast)

<p>The goal of the course is to familiarize NOAA/university researchers, Sea Grant professionals and agency/org. partners with different types of ocean satellite data, different tools, and teach participants how to use satellite data in their own research/outreach using their choice of software (NOAA ,2023)</p>

opencc-by-4.0Feb 2023View details →
dryad32/100

Data from: The spatiotemporal evolution and formation mechanism of the digital economic gap: Based on the case of China

<p>We analyzed the formation mechanism of digital economic gap (DEG), measured the DEGs at four levels (the gaps in information and communication technology accessibility, application skill, digital economic outcome, and efficiency), and explored its spatiotemporal evolution in China by using DEA–Malmquist index method, Gini Coefficent method, Kernel density, and Geodetector. Data from 263 cities in China between 2011 and 2019 were collected. The results demonstrated that (1) The four levels of DEGs showed different trends. The first-, second- and third- level DEGs showed ceiling effects, and the fourth-level DEG oscillated upward. (2) The distribution location of the four levels of DEGs varied. The first- and second-level DEGs shifted at a stable low degree. The third-level DEG increased steadily and polarized. The fourth-level DEG increased steadily and formed a multi-polarization trend, with one strong polar. (3) The long-term transfer trend of the DEGs at four levels changed little, and showed a phenomenon of "club convergence". (4) As for the formation of DEGs, the first-level DEG was influenced by most factors and was education- and policy-driven; the second-level DEG was profit-driven; the third-level DEG was profit- and education-driven; the fourth-level DEG was human resource-driven.</p>

opencc-zeroJun 2024View details →
zenodo32/100

JDIAZ - Navigating Digital Transformation and Technology Adoption: Data & High RES Images

<p>JDIAZ - Navigating Digital Transformation and Technology Adoption: Data &amp; High RES Images</p> <p><strong>Navigating Digital Transformation and Technology Adoption: A Literature Review from Small and Medium Enterprises in Developing Countries</strong></p>

opencc-by-4.0Jul 2024View details →
zenodo32/100

Data Leveraging Digital Innovation: Enhancing Tourist Intentions through Social Media, Websites, and Mobile App Experiences

Open the record for dataset details and reuse information.

opencc-by-4.0Aug 2024View details →
zenodo32/100

Dataset for "Learning Scene Semantics from Vehicle-centric Data for City-scale Digital Twins", Fürntratt et al.

<p>Dataset for "Learning Scene Semantics from Vehicle-centric Data for City-scale Digital Twins", F&uuml;rntratt et al.</p> <p>Data are anonymized and provided with segmentation mask ground truths.&nbsp;</p>

opencc-by-nc-sa-4.0Jul 2024View details →
zenodo32/100

Data from: Digital Divide: Addressing Internet Skills. Educational implications in the validation of a scale.

<p>Dataset associated with the paper &quot;Digital Divide: Addressing Internet Skills. Educational implications in the validation of a scale.&quot;, dealing with the Italian validation of the Internet Skills Scale (ISS).</p>

opencc-by-nc-4.0Jul 2018View details →
zenodo32/100

Data for Energy Landscapes for Digital Alchemy

<p>Data relating to the paper &#39;Energy Landscapes for Digital Alchemy&#39;. See the README for details.</p>

opencc-by-4.0Jun 2019View details →
zenodo32/100

Barbara Thiers of the New York Botanical Garden and president of the Society for the Preservation of Natural History Collections is among those leading the effort to harness the explosion of data being digitized by collections around the globe. Photograph: New York Botanical Garden, Bronx, NY. in The Evolution of Natural History Collections

Barbara Thiers of the New York Botanical Garden and president of the Society for the Preservation of Natural History Collections is among those leading the effort to harness the explosion of data being digitized by collections around the globe. Photograph: New York Botanical Garden, Bronx, NY.

opennotspecifiedMar 2019View details →
zenodo32/100

Raw Data of the Survey on Practitioners' Perspectives on Using & Developing Digital Twin Systems

<p>Here, we present the documents regarding our survey on understanding practitioners' perspectives on using &amp; developing digital twin systems. Our survey has attracted 131 participants from diverse industries. Here, we attached the survey questions and the raw data for the survey responses.&nbsp;</p>

opencc-by-4.0Sep 2024View details →
zenodo32/100

FIGURE 3. Peliosanthes griffithii var. breviracemosa. Digital epitype, L. Averyanov, CPC 5402b in New taxa of Peliosanthes and Tupistra (Asparagaceae) in the flora of Laos and Vietnam and supplemental data for T. patula

FIGURE 3. Peliosanthes griffithii var. breviracemosa. Digital epitype, L. Averyanov, CPC 5402b /TM 1065 /13391. Photos, correction and design by L. Averyanov.

opennotspecifiedJul 2017View details →
zenodo32/100

FIGURE 5. Tupistra gracilis. Digital epitype, L. Averyanov, CPC 6721a in New taxa of Peliosanthes and Tupistra (Asparagaceae) in the flora of Laos and Vietnam and supplemental data for T. patula

FIGURE 5. Tupistra gracilis. Digital epitype, L. Averyanov, CPC 6721a. Photos, correction and design by L. Averyanov.

opennotspecifiedJul 2017View details →
zenodo32/100

FIGURE 6. Tupistra patula. Digital epitype, N.S in New taxa of Peliosanthes and Tupistra (Asparagaceae) in the flora of Laos and Vietnam and supplemental data for T. patula

FIGURE 6. Tupistra patula. Digital epitype, N.S. Khang et al., NSK 845. Photos, correction and design by L. Averyanov.

opennotspecifiedJul 2017View details →
zenodo32/100

Proposal of Attributes for the Data Model of a European Digital Building Renovation Logbook

<p>This document serves as supplementary material to the paper "Envisaging a European Digital Building Renovation Logbook: Proposal of a Data Model", by Marta G&oacute;mez-Gil, Sara Karami, Jos&eacute;-Paulo de Almeida, Alberto Cardoso, Almudena Espinosa-Fern&aacute;ndez and Belinda L&oacute;pez-Mesa. Its purpose is to complement and expand upon the methodology outlined in the paper, with a specific focus on the identification of attributes for the development of a data model for the European Digital Building Logbook, focused on renovation.</p>

opencc-by-4.0Sep 2024View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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