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4,404 results for “digits”
microCT dataset of digitized specimen - Caymanostella scrippscogniticausa / SMF 6938
<div> <p>A juvenile specimen (SMF 6938) fixed in glutaraldehyde and OsO4 and preserved in 70% EtOH was scanned using a Werth Tomoscope® XS Plus 200 microCT with the following scan parameters: 85 kV voltage, 59 µA generator current, 5 W generator power. Exposure time was 1500 ms with a total of 4100 projections (2 projections were averaged). The voxel resolution is 2.46 µm. Surface renderings were generated with the software Drishti v3.1. (National University, Canberra, Australia)</p> <p> </p> </div>
"Unlocking the Urban Code. Digital Social Innovation and City Spaces"
<p>DSI in the City is a project funded by MUR-PRIN 2022 led by Chiara Certomà (PI, University Sapienza Rome) and Venere Sanna (University of Siena). The video explore one of the main challenges for contemporary society, i.e. understand and govern the digital revolution and its sociopolitical consequences.The video identifies and deconstructs the principal issues determined by the digitalisation of urban reproduction processes, notably via the diffusion of DSI practices.</p> <p> </p> <p>The project has been funded by the PRIN2022 MUR program, Funded by the European Commission - Next Generation EU, code 2022KTEZPX to the University Sapienza Rome</p>
Participant responses - Enhancing Workplace Well-being through Digital Solutions
Open the record for dataset details and reuse information.
Pléiades Digital Elevation Models of South Lhonak Lake (Sikkim, India)
<h1>Data and methods</h1> <p>On 3 October 2023, the collapse of a frozen lateral moraine into South Lhonak Lake triggered a multi-hazard cascade in the Sikkim Himalaya, India (Sattar et al, 2025). This repository contains two DEMs derived from Pléiades satellite images that were acquired before and after the event. </p> <ul> <li>A post-event DEM computed from a pair of PHR1A stereoscopic images acquired on 2023-10-29 (20231029.tif)</li> <li>A pre-event DEM computed from a triplet of PHR1A stereoscopic images acquired on 2022-10-18 (20221018.tif)</li> </ul> <p>The DEMs (height above the WGS84 ellipsoid) were posted at 1.0 m with UTM 45N projection (EPSG:32645) and coregistered to the GLO30 Copernicus DEM. They were computed with the MicMac software in the DSM-OPT service using the following configuration: correlation window size: 3x3, regularization factor: 0.05, vertical uncertainty: 0.1, potential accuracy threshold: 0.4 (Rupnik et al. 2017).</p> <p>These DEMs allow the analysis of topographic changes in the lake area. We included examples of such analysis with the addition of the High Mountain Asia 8 m DEM (Shean 2017).</p> <h1>Acknowledgements </h1> <p>Pléiades images were acquired and processed thanks to the CIEST2 service developed and performed with the French Space Agency (CNES) by FormaTerre, Solid Earth component of the Data Terra Research Infrastructure.</p> <h1>References</h1> <div> <p>Sattar et al. (2025) The Sikkim flood of October 2023: Drivers, causes and impacts of a multihazard cascade. Science, eads2659, https://doi.org/10.1126/science.ads2659</p> Rupnik, E., Daakir, M., & Pierrot Deseilligny, M. (2017). MicMac–a free, open-source solution for photogrammetry. <em>Open geospatial data, software and standards</em>, <em>2</em>, 1-9. https://doi.org/10.1186/s40965-017-0027-2</div> <div> </div> <div>Shean, D. (2017). High Mountain Asia 8-meter DEM Mosaics Derived from Optical Imagery, Version 1 [Data Set]. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. https://doi.org/10.5067/KXOVQ9L172S2. Date Accessed 07-29-2024.</div>
Spot6 and Pléiades Digital Elevation Models (DEMs) and elevation change grid to understand the South Lhonak lake (Sikkim) flood of October 2023
<p>===========================</p> <p>Introduction</p> <p> </p> <p>On 3 October 2023, a multi-hazard cascade in the Sikkim Himalaya, India, was triggered by the collapse of a frozen lateral moraine into South Lhonak Lake</p> <p>We share here the SPOT6 and Pléiades DEMs and the elevation change maps derived from these images. The collection includes four files:</p> <p>Two pre-event DEMs from SPOT6</p> <p>2018-12-01_Lhonak_DEM_SGM_4m_on_Cop30_BiasCorr_NoData_aligned.tif</p> <p>2018-12-08_Lhonak_DEM_SGM_4m_on_Cop30_BiasCorr_NoData_aligned.tif</p> <p>One post-event mosaic DEM from Pléiades </p> <p>Post-Event_DEM_SGM_october2023.tif</p> <p>One grid of elevation change from 2018 to 2023</p> <p>dh_mosaic_Lhonak_SGM_median.tif</p> <p> </p> <p>===========================</p> <p>Methods</p> <p>The SPOT6 and Pléiades stereo-images were processed using the Ames Stereo Pipeline (ASP, Beyer et al., 2018), yielding a DEM in 4x4 m GSD. The processing was done using as only input the stereo-images and their orientation information, as Rational Polynomial Coefficients (RPCs). The parallel_stereo routine performs all the steps needed in the correlation of the stereo-images, yielding a pointcloud which is then interpolated using the routine point2dem. We used the semi global matching algorithm and the set of processing parameters from Deschamps-Berger et al. (2020)</p> <p>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.</p> <p>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.</p> <p> </p> <p>===========================</p> <p>Data Specifications:</p> <p>Cartographic projection: UTM zone 45N (EPSG:32645)</p> <p>Origin of Elevation: meters above WGS84 ellipsoid</p> <p>Raster data format: GeoTIFF</p> <p>NoData value : -9999</p> <p> </p> <p>===========================</p> <p>Acknowledgements:</p> <p>Pléiades and SPOT6 images were acquired thanks to the CIEST2 service developed and performed with the French Space Agency (CNES) by FormaTerre, Solid Earth component of the Data Terra Research Infrastructure</p> <p> </p> <p>===========================</p> <p>Dataset Attribution:</p> <p>This dataset is licensed under a Creative Commons CC BY-NC 4.0 International License (Attribution-NonCommercial).</p> <p> </p>
Survey - Business Model Innovations in the Digital Publishing Industry: A Question of reluctance to innovate?
<p>News Publishers today struggle with their business model: their efforts to convert their traditional business into digital products have generally proven to be futile. In order to explore a possible reluctance to innovate in the digital news publishing industry, in our study we are focusing on the Digital News Initiative (DNI) which is a partnership between Google and news publishers across Europe to support high-quality journalism through technology and foster innovation. Founded in 2015, the DNI has already funded over 460 projects across Europe with €94m. In our study we will deep dive into these projects by categorizing the type of innovation in a simple document analysis. Afterwards we will conduct a explorative survey with publishers. This will help us finding out whether they also dealt with a reluctance to innovate within their organization, what the main obstacles have been during their innovation process and how they have overcome them. The explorative results are not only valid for publishers but can also be transferred to other industries whose products and services are affected by digitalization.</p> <p>Anonymus survey with 31 full answers from publishers in the DACH Region conducted with LimeSurvey in March 2018.</p>
An Image-Based Gamut Analysis of Translucent Digital Ceramic Prints for Coloured Photovoltaic Modules: Supplementary Data
<p>Colouring the frontglass of PV modules via digital ceramic printing aids in concealing the PV when integrated into existing building façades as BIPV, while admitting sufficient light to produce electricity. This promotes the visual acceptance and adoption of PV as a source of renewable energy in urban environments. The effective colour of the PV laminate is a combination of the transparent colour on glass and the colour of the PV cells. This colour should ideally match the architect’s visual expectations in terms of fidelity, but also in terms of relative PV efficiency as a function of print density. In practice, these requirements are often contradictory, particularly for vivid colours, and the visual results may deviate significantly. This paper presents an objective analysis of how colours appear on PV frontglass laminated with a PV module, using an image-based colour acquisition process. Given a set of 1044 nominal colours uniformly distributed in the RGB colour space, each printed in 10 opacities, we quantify the range of effective colours observed when printed on glass and combined with PV, and their deviation from the nominals. Our results confirm that the effective colour gamuts are significantly constrainted and skewed, depending on the ink volume and glass finish used for printing. In particular, blue-magenta hues cannot be reliably rendered with this process. These insights can serve as guidelines for selecting target colours for BIPV that can be well approximated in practice.</p>
TuftsDCC: Tufts Digital Classics Club
<p>This is a first test for release of the Digital Classics Club and related material.</p>
High-Speed Serializer for a 64 GS/s Digital-to-Analog Converter in a 28 nm Fully-Depleted Silicon-on-Insulator CMOS Technology
<p>This data set contains simulation results of a high-speed serializer for a 64 GS s<sup>-1</sup> digital-to-analog converter. The circuit is presented in the paper "High-Speed Serializer for a 64 GS s<sup>-1</sup> Digital-to-Analog Converter in a 28 nm Fully-Depleted Silicon-on-Insulator CMOS Technology" in the open access journal "Advances in Radio Science".</p>
The Outer OAIS - Inner OAIS (OO-IO) Model and use in Distributed Digital Preservation (DDP)
<p>This recording provides an overview (38 minutes) of the Outer OAIS-Inner OAIS (OO-IO) Model by Eld Zierau. The OO-IO model uses the Open Archival Information System (OAIS) Reference Model to provide a more detailed explanation of distributed digital preservation. Eld ZIerau, a digital preservation specialist at the Royal Danish Library, envisioned and specified the OO-IO model. Nancy McGovern, Director of Digital Preservation at MIT Libraries, collaborated on and contributed to the OO-IO model.</p> <p>This upload is identical to the version on Vimeo: https://vimeo.com/233024801</p>
Beyond the barriers of poetry in the digital world. Is standardization possible in order to achieve interoperability?
<p>The video shows the opening of the 2nd EADH day which took place before the official opening of <em>DHd 2016</em> in Leipzig (7 - 12 März 2016).</p> <p>After welcoming words by Elisabeth Burr, one of the local organisers of the conference, a presentation on the EADH days by Øyvind Eide, representative of EADH, and the awarding of the EADH bursary, Elena Gonzalez-Blanco from the UNED in Madrid, who had organised the 1st EADH day in concomitance with <em>HDH 2015</em> in Madrid, gave her keynote.</p> <p>The programme of the 2nd EADH day is available <a href="http://dhd2016.de/?q=EADH%20day%20programme">here</a>.</p>
Dataset of Digitized Screen-film Mammograms of African Descent
<p>This dataset contains 78 mammographic Images obtained from Cancer Patients</p>
Dataset of Digitized Screen-film Mammograms of African Descent
<p>This dataset contains 78 mammographic images of African cancer patients</p>
ICDAR2013 – Handwritten Digit and Digit String Recognition Competition
<p>The CVL Single Digit dataset consists of 7000 single digits (700 digits per class) written by approximately 60 different writers. The validation set has the same size but different writers. The validation set may be used for parameter estimation and validation but not for supervised training. The CVL Digit Strings dataset uses 10 different digit strings from a total of about 120 writers resulting in 1262 training images. The digits from the CVL Single Digit dataset were extracted from these strings.</p> <p>This database may be used for non-commercial research purpose only. If you publish material based on this database, we request you to include a reference to:</p> <p>Markus Diem, Stefan Fiel, Angelika Garz, Manuel Keglevic, Florian Kleber and Robert Sablatnig, <em>ICDAR 2013 Competition on Handwritten Digit Recognition (HDRC 2013)</em>, In Proc. of the 12th Int. Conference on Document Analysis and Recognition (ICDAR) 2013, pp. 1454-1459, 2013.</p>
Digitization, Georeferencing, and Modelling of Regan and Hinze's Barringer Crater Study
<p>This is a digitized data set of Regan and Hinze's (1975) Gravity and Magnetic Survey of Meteor Crater, AZ, also known as Barringer Crater, AZ. This data is interpolated from figures within the paper pertaining to the Residual Bouguer Anomaly, Total Bouguer Anomaly, Regional Bouguer Anomaly, and Terrain Correction, as the paper's original data set could not be recovered. We georeferenced the station coordinates to latitude/longitude and Zone 12 UTM coordinates using a LiDAR DEM in order to provide an updated terrain correction for the data set.</p>
Biographische Informationssysteme (DPBs, Digital Knowledge Databases, Virtual Research Environments)
<p>The table is an overview of database and online systems to manage/publish prosopographical and biographical data. </p>
Audio from: 'Modeling Voiced Stop Consonants using the 3D Dynamic Digital Waveguide Mesh Vocal Tract Model'
<p>Audio files associated with the paper 'Modeling Voiced Stop Consonants using the 3D Dynamic Digital Waveguide Mesh Vocal Tract Model', presented at the International Congress of Phonetic Sciences 2019, Melbourne, Australia.</p>
(Digital) Humanities and Media Labs Around the World
<p>The dataset presents a list of laboratories set up in the humanities, digital humanities, and media studies within universities across the world in 1983-2018. The data are collected and organized in an interactive map designed in the digital StoryMapJS tool, creating a valuable visible representation of the laboratory concept from a geographical and historical perspective. Based on the interactive map, I analyze the history of the laboratory in the humanities within a global context from the 1980s to 2018. The dataset includes 214 laboratories.</p> <p>Data collection</p> <p>I identified laboratories by using different resources such as universities’ websites, articles, and research projects. Besides, I sent a questionnaire to the most relevant networks in October 2018 to identify even more labs created in (digital) humanities and media studies at universities.</p> <p>Data organization</p> <p>I collected data about each lab based on its website and other resources. I extracted the following data: year established, year ended (if applicable), lab’s name, university, city, country, affiliation and location (if provided), disciplines and keywords (based on labs’ statements and projects and aiming to situate a lab), selected projects (if provided), purpose (a short quotation of a lab’s statement published on its website), website, and geographical latitude and longitude. I organized all the data in chronological order according to year established in Google Sheets. Next, I used StoryMapJS, a free tool designed by the Northwestern University’s Knight Lab, to map my data.</p>
Digital technologies for improving productivity in food manufacturing - graphical capture
<p>The Centre for SMART at Loughborough University collaborated with the Internet of Food Things Network Plus to host an event that targeted players in the food manufacturing industry, as well as policy makers, and aimed to provide attendees with the opportunity to learn from companies and technology providers on best practices to successfully implement current digital technologies in food manufacturing and to discuss policy and regulatory challenges to the uptake of such technologies within the UK Food Sector.</p> <p>A full report will be available later, but this drawing was produced by Becky James from Natalka Design who was commissioned to capture the complexity of the presentations and discussions that took place at the event.</p> <p>We therefore acknowledge the contribution that all attendees at the event made to this illustration.</p>
Graphical capture from: Digital technologies for improving productivity in food manufacturing
<p>The Centre for SMART at Loughborough University collaborated with the Internet of Food Things Network Plus to host an event that targeted players in the food manufacturing industry, as well as policy makers, and aimed to provide attendees with the opportunity to learn from companies and technology providers on best practices to successfully implement current digital technologies in food manufacturing and to discuss policy and regulatory challenges to the uptake of such technologies within the UK Food Sector.</p> <p>A full report will be available later, but this drawing was produced by Becky James from Natalka Design who was commissioned to capture the complexity of the presentations and discussions that took place at the event.</p> <p>We therefore acknowledge the contribution that all attendees at the event made to this illustration.</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.