Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
4,404
datasets available to search
ShareScore release 0.9.0
Dataset results
4,404 results for “digits”
Crinoline (1856) - a digital reconstruction
The 3D model presents a digital reconstruction of a historical crinoline - a special framework used to expand the fullness of the skirt in the mid 19th century. The crinoline is presented in "Punch Publications Ltd. (1856). Punch, or the London charivari, 31, p. 73". It has 4 hoops and 10 ribbons. A new method of parameterisation was applied to reproduce the shape and construction of the hoops, ribbons and belt (for further details see https://doi.org/10.1080/00405000.2019.1621042). The authors of the 3D model are Aleksei Moskvin https://independent.academia.edu/AlekseiMoskvin Mariia Moskvina https://independent.academia.edu/MariiaMoskvina (Saint Petersburg State University of Industrial Technologies and Design) DOI: http://dx.doi.org/10.13140/RG.2.2.18444.23686 The authors thank Prof. Victor Kuzmichev from Ivanovo State Polytechnic University for his important contribution to this reconstruction. Source: Objaverse 1.0 / Sketchfab
Lesingey Round: textured digital surface model
Lesingey Round is a hillfort near Penzance in Cornwall, and likely dates to the Iron Age. The monument consists of a roughly circular enclosure surrounded by ramparts with a ditch on the outside. From the partially buried ditch, the ramparts stand over 4.5m high in places. In other areas the ramparts have been damaged. The site sits atop a prominent hill with panoramic views, and is covered by a 'crown' of trees that cover the site. In this model the trees have been digitally removed to allow for a different understanding of the site. This 3D survey was undertaken by the [Curatorial Research Centre](https://curatorialresearch.com) on behalf of Penwith Landscape Partnership (PLP). The site is owned and maintained by the [Cornish Ancient Sites Protection Network](https://cornishancientsites.com/) (CASPN). Source: Objaverse 1.0 / Sketchfab
Bethel Digital Lockdown: A Glove by Zach Haala
This is a model of one my baseball gloves. It is a Wilson A2000 1786 Model, and has been very representational of my covid-19 experience. Over the laboring months of lockdown, I was left without a job for a while, and with not much else going on becuase of the outbreak, I was left with much time to spend at the baseball field. Being an athlete at the collegiate level, working on my game is nothing new, however, this glove is not exactly representational of me improving my play, but rather provides symbolism for the hours a day I spent at the field as an escape from the reality that was the pandemic. Source: Objaverse 1.0 / Sketchfab
1-km bed topography digital elevation model (DEM) of the Weddell Sea sector, West Antarctica
<p>We present a new bed elevation digital elevation model (DEM) of the Weddell Sea sector, West Antarctica. The DEM consists a total area of ~125,000 km<sup>2</sup> covering the Institute, Möller and Foundation ice streams and the Bungenstock Ice Rise with a 1 km spatial resolution. </p> <p>In order to produce the bed elevation DEM, ice thickness DEM was formed from the available radio-echo sounding (RES) data using the 'Topo to Raster' function in ArcGIS. The RES data used in this study were compiled from four main sources which are (1) Scott Polar Research Institute (SPRI) survey collected during several campaigns in the 1970s (Drewry, 1983), (2) British Antarctic Survey (BAS) airborne radar survey conducted during the austal summer 2006/07 (GRADES/IMAGE) (Ashmore et al., 2014). , (3) BAS airborne survey accomplished during the Institute and Möller Antarctic Funding Initiative (IMAFI) in 2010/2011 (Ross et al., 2012) and (4) Center for the Remote Sensing of Ice Sheet (CReSIS) data during the NASA Operation IceBridge (OIB) programme in 2012, 2014 and 2016 (Gogineni, 2012). The ice thickness picks were gridded at a uniform 1-km spacing using the Nearest Neighbour interpolation within the Topo to Raster. The ice thickness DEM was later subtracted from the 1-km ice-sheet surface elevation derived from the combined European Remote Sensing Satellite-1 (ERS-1) radar and Ice, Cloud and land Elevation Satellite (ICESat) laser satellite altimetry DEM (Bamber et al., 2009), to produce the bed topography referenced to the Polar Stereographic projection (Snyder, 1987). </p>
Data from: Diphthong Synthesis using the Dynamic 3D Digital Waveguide Mesh
<p>This dataset comprises the data and MATLAB scripts associated with the paper "Diphthong Synthesis using the Dynamic 3D Digital Waveguide Mesh" published in <em>IEEE/ACM Transactions on Audio, Speech and Language Processing</em>.</p> <p>The dataset contains:</p> <ul> <li>Audio files in .wav format including simulation outputs and recorded microphone and electrolaryngograph signals</li> <li>MATLAB files for simulation (requires GPU device) and plotting results, including volume matrices for 6 English monophthongs, obtained from MRI images as described in the paper</li> <li>Plots of results in .png and MATLAB .fig format</li> </ul> <p><strong>Contact: amelia.gully@york.ac.uk</strong></p>
Digital 3D Model Dataset from Thingiverse Data
<p>Digital model data as STL files, acquired from thingiverse by random probing of available things. Geometrical analysis and rendering as PNG and GIF performed. Pre-sliced machine instructions as GCode generated using slic3r. AMF files are also part of the dataset, these files were generated from the STL files.</p>
Dataset for Scrollytelling as as Strategy for Socio-Environmental Enagement: A Digital Citizen Science Narrative Approach
<p>Resulting Dataset on the evaluation of Scrollytelling deliverables developed by higher education students based on citizen science projects.</p>
Adolescent screen time and unhealthy food consumption in the context of the digital development in New Caledonia
<p>Data from self-report questionnaires on time spent in front of tablets, computers and mobile phones, as well as the consumption of unhealthy food and drinks.</p> <p>Participant characteristics: 11 to 15 years old students.</p> <p>Number of participants: 867.</p> <p>Year of the study: 2018 - 2019.</p> <p>Place of the study: New Caledonia.</p> <p> </p>
Tendencias de investigación sobre estrategias de marketing digital y satisfacción estudiantil en la educación superior: Un análisis bibliométrico
<p><span>The main objective of this bibliometric article is to analyse and synthesise existing research that explores the relationship between digital marketing strategies implemented by higher education institutions and the satisfaction perceived by students. A bibliometric methodology was adopted, constructing a canonical search equation in the Scopus database, without temporal restrictions. The extracted data were processed using Bibliometrix and VOSviewer to create scientific maps and perform statistical analyses. The main results reveal a significant growth in scientific output, with a total of 1126 published papers and remarkable international collaboration. The core concepts are social networks, e-commerce, student satisfaction and digital marketing. An interdisciplinary nature is observed, with contributions from various areas of knowledge. Although the interest is global, the growing participation of Middle Eastern nations is noteworthy. In conclusion, the field of digital marketing research on university students has experienced significant growth, reflecting the adoption of digital technologies in higher education and the need for effective digital marketing strategies to attract and retain students.</span></p>
The digital appendices for (2017) Robert Fortune - Plant Hunter From the Scottish Borders to the Pacific Rim in Search of Plants by David Kay Ferguson. ISBN: 9787566414519
<p>At the back of the 2017 book "Robert Fortune - Plant Hunter From the Scottish Borders to the Pacific Rim in Search of Plants" by David Kay Ferguson. ISBN: 9787566414519 there is a CD with two files on it. Notes & References. This is an archive of these Microsoft Word files.</p> <p>This archiving is done without the authors permission (I did try) and is intended to allow access to the data held within.</p>
Digital vs analog DPC and 4D-STEM detector frame rates
<p>These are raw data sets (.dm3 in zipped folders) from University of Tokyo, and overview of the detector frame rates from datasheets of pixelated detectors (.csv). Used for the paper titled "Ultra-fast Digital DPC Yielding High Spatio-Temporal Resolution for Low-Dose Phase Characterisation" (preprint available on arXiv: <a title="Ultra-fast Digital DPC Yielding High Spatio-Temporal Resolution for Low-Dose Phase Characterisation" href="https://arxiv.org/abs/2405.06367" target="_blank" rel="noopener">https://arxiv.org/abs/2405.06367</a>).</p>
Ecologically-related variation of digit morphology in Cyrtodactylus (Gekkota, Squamata) reveals repeated origins of incipient adhesive toepads
<p>The exploitation of different locomotor substrates in different ecological niches has driven the evolution of specialized morphological structures, and similar ecological demands, such as the structure of the microhabitat, often lead to convergent or parallel evolution. The evolution of adhesive toepads in geckos remains understudied because of the paucity of phylogenetically informed investigations of candidate clades exhibiting purported incipient expression of these (i.e., species having evolved some, but not all, parts of the complex adhesive system of pad-bearing geckos). Using <em>Cyrtodactylus</em>, a speciose genus with well-established ecotypes, we tested the hypothesis that microhabitats that require more climbing will lead to the acquisition of incipient adhesive morphology. We measured subdigital scale area, a proxy for adhesive toepad evolution, and quantified subdigital scale shape for 77 of the 354 described species, including at least one representative of each ecotype. Subdigital scale area increased from terrestrial through generalist and saxicoline (rock-dwelling) to arboreal ecotypes, with subdigital scale shape evolving from ancestral conditions for padless lizards to lateromedially expanded lamella-like scales only in the arboreal ecotypes. This significant link between phenotype and environment supports the contention that scansorial, and particularly arboreal, <em>Cyrtodactylus</em> ecotypes have evolved incipiently expressed adhesive toepads. This highlights the suitability of this genus as a model system for studying the ecology and evolution of adhesive toepads as well as being a promising candidate for research on adaptive radiations.</p>
Digital Currencies 2024
<p><strong>About Dataset</strong></p> <p>This dataset consists of seven columns and 2740 rows collected from thirteen different sources for digital currencies. The dataset includes information on the opening price, closing price, highest price, lowest price, and volume, as well as the percentage change and the currencies collected in March 2024.</p> <p>Here's a description of the contents based on the available columns in the data:</p> <p>Last Price: The most recent recorded price of Bitcoin. Open Price: The opening price of Bitcoin at the start of the specified time period. Max: The maximum price of Bitcoin during the specified time period. Min: The minimum price of Bitcoin during the specified time period. Size: This may refer to the trading volume of Bitcoin during the specified time period, but requires further clarification to confirm its meaning. Change Persent: The percentage change in the price of Bitcoin compared to the previous time period, it seems there's a typographical error and it might mean "Change Percent". Class: The classification of the currency, in this context, all the data is classified under "Bitcoin". This data could be useful in financial market analytics, especially for those interested in cryptocurrencies and the dynamics of Bitcoin prices. It can be used to study price changes, market fluctuations, or even to develop models for predicting cryptocurrency prices.</p> <p>Applications in Machine Learning and Beyond This dataset, focusing on Bitcoin prices and their fluctuations, has a wide range of applications, especially within the realm of machine learning and financial analysis:</p> <p>Price Prediction: Utilizing historical data to train models that can predict future Bitcoin prices. Techniques like time series analysis, regression models, and more sophisticated neural networks (e.g., LSTM) could be applied. Volatility Modeling: Analyzing the variability in Bitcoin prices over time. Machine learning models can help understand patterns in price fluctuations, potentially leading to insights for investors about risk and volatility. Trend Analysis: Identifying long-term trends in Bitcoin's market performance. Machine learning algorithms can detect underlying patterns and trends, helping investors make informed decisions. Anomaly Detection: Spotting unusual patterns or outliers in Bitcoin prices that could indicate market manipulation, fraud, or significant market events. Machine learning models, especially unsupervised algorithms, are adept at detecting anomalies. Sentiment Analysis: By integrating this dataset with social media and news sentiment data, models can assess how public sentiment impacts Bitcoin prices. This involves natural language processing (NLP) techniques to gauge sentiment and correlate it with price movements. Portfolio Management: In the broader scope of financial management, machine learning models can use such datasets to optimize cryptocurrency portfolios, balancing risk and return based on historical performance. Risk Assessment: Analyzing the data to evaluate the financial risk associated with Bitcoin investments. Machine learning can provide probabilistic estimates of future price drops or gains, aiding in risk management strategies. Overall, the detailed data on Bitcoin's pricing and trading volume offers a rich foundation for various analytical and predictive modeling efforts in both academic research and practical financial applications.</p> <p>Collected and Preprocessing: Wisam Abdullah , Dr. Modhar , and Dr. Ahmed Alsardly are lecturers in Tikrit University.</p>
Digital Transformation and Its Relationship to the Job Performance of Employees at a Private University in Peru
<p><span>Private universities in Peru still need to implement digital transformation models to enhance the job performance of faculty and staff, achieving consistent improvement in the performance levels of university teachers by deploying technological and didactic tools for students. Therefore, the study aims to determine the relationship between digital transformation and the job performance of employees at a Private University. The research approach was quantitative, employing a non-experimental, longitudinal correlational design. The technique used was a survey, applied to a sample of 104 employees (school heads, faculty, and a director) from the university on a national level from a total population of 144. The findings highlight that organizational motivation to achieve high performance significantly affects job performance. This motivation creates pressure to achieve the desired outcomes. According to over 90% of the surveyed faculty, these demands foster a sense of urgency, though sometimes exceeding the capabilities of the employee. Therefore, creating an innovative culture across all hierarchical levels and identifying key technologies that add value to the learning flow can meet the needs of an increasingly demanding society.</span></p> <p><strong><span>Keywords: </span></strong><span>digital transformation, job performance, virtual education, digital tools, educational quality.</span></p>
Universities and Unicorns – New Forms of Value in Digital Higher Education (SRHE webinar)
<p>SRHE's Digital University Network organised an event on 21 September 2023. The research team from the ESRC-funded research project Universities and Unicorns (UU) project presented initial findings after the project finished. The project introduced fundamentally new ways to think about and examine the digitalising of the higher education sector. It investigated new forms of value creation and suggested that value in the sector increasingly lies in the creation of digital assets. Further, the project examined whether and how universities, companies and investors shift from forms of entrepreneurship to forms of rentiership. This has important consequences. Assetisation and rentiership imply a change from creating value via market exchange to capturing value via the ownership and control of assets, such as personal data.</p> <p><br>More about the webinar: https://srhe.ac.uk/civicrm/?civiwp=CiviCRM&q=civicrm%2Fevent%2Finfo&reset=1&id=641</p>
Basics of digital preservation. A guideline to digital preservation from the perspective of the NFDI4Culture community.
<p><strong>The HTML publication is available at <a href="https://nfdi4culture.de/go/E5342" target="_blank" rel="noopener">https://nfdi4culture.de/go/E5342</a>.</strong></p> <p>The guideline conveys the basics of digital preservation, introduces digital archives in NFDI4Culture, explains the path of research data into the digital archive, explains the OAIS model and introduces preservation strategies. The focus is on cultural assets.</p>
DATA: Nonbinary Voices for Digital Assistants – An Investigation of User Perceptions and Gender Stereotypes
<p>This dataset (n=318) investigates peoples' perceptions of gender stereotypes in nonbinary digital voices.</p>
Quantifying Progress: Metrics and Indicators for Measuring Digital Transformation Maturity in Organizations
<p><span>As organizations increasingly embark on digital transformation journeys, the need for effective metrics and indicators to measure progress and maturity becomes paramount. This paper investigates the development and application of metrics for quantifying digital transformation maturity in organizations. Through an extensive review of literature and examination of case studies, the paper identifies key dimensions and stages of digital maturity. It proposes a framework encompassing both quantitative and qualitative metrics that can be used to assess an organization's digital transformation journey. The paper explores challenges associated with defining meaningful metrics and offers insights into adapting measurement frameworks to diverse organizational contexts. By addressing this critical gap in the literature, the paper aims to provide practitioners, researchers, and decision-makers with a valuable resource for evaluating and benchmarking digital transformation progress, fostering a more nuanced understanding of the multifaceted nature of organizational digital maturity.</span></p>
Fig 1 in Digitization of aquaculture: A review
Fig 1: Utilization of IoT in Aquaculture
Process data for development of a digital material shadow for the press hardening route of medium manganese steel
<p>Press-hardened ultra-high strength steel parts are widely used in the automotive sector for their lightweight and safety advantages. Medium-Manganese Steels (MMnS) are being explored as an alternative to boron-manganese steels due to their high strength and ductility after quenching, achieved at lower annealing temperatures thus reducing energy usage and carbon emissions. However, industrial adoption of MMnS is hindered by challenging processing requirements, e.g. in cold-rolling and press hardening. To expedite and improve the process development, data-driven decisions based on process parameters hold promise. Establishing a link between process data and the final produced part necessitates the development of a framework for a Digital Material Shadow (DMS). This paper investigates the development of a DMS framework for the cold rolling and press hardening process chain. In conjunction with conventional data acquisition methods employed for cold rolling, novel data acquisition techniques are introduced specifically tailored for press hardening, ensuring the comprehensive availability of relevant data. Moreover, a data pipeline is implemented to enable automatic processing, visualization, and analysis of process data. To facilitate seamless data linkage across processes in the DMS, an ID-system is introduced. Finally, the developed framework’s validity is demonstrated by creating a DMS for press-hardened MMnS parts, showcasing its potential for practical applications.</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.