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4,404 results for “digits”
Data Table Digital Scholarship Plan
<p>Summary of the types of data linked to my doctoral project. </p>
InHARD-DT - Industrial Human Action Recognition Dataset - Digital Twin
<p>This paper explores the use of a Digital Twin of a real industrial workstation involving assembly tasks with a robotic arm interfaced with Virtual Reality (VR) to extract a digital human model. The DT simulates assembly operations performed by humans aiming to generate self-labeled data. Thereby, a Human Action Recognition dataset named InHARD-DT was created to validate a real use case in which we use the acquired auto-labeled DT data of the virtual representation of the InHARD dataset to train a Spatial–Temporal Graph Convolutional Neural Network with skeletal data on one hand. On the other hand, the Physical Twin (PT) data of the InHARD dataset was used for testing. Therefore, we introduce a RGB+S dataset named “Industrial Human Action Recognition Dataset - Digital Twin” (InHARD-DT) from a real-world setting for industrial human action recognition. </p> <p>We invited 12 distinct subjects from the LINEACT laboratory (4 females and 8 males) for the DT data collection to perform the same assembly tasks of the InHARD dataset (link below) in Virtual Reality via a VR application of an industrial real workstation. This dataset contains 13 different industrial action classes and over 4800 action samples. The introduction of this dataset should allow us the study and development of various learning techniques for the task of human actions analysis inside industrial environments involving human robot collaborations. It can be used also in cross-validation scenarios where the training phase can be done using the Physical Twin (PT) data of the InHARD dataset (real world scenarios) and then test using Digital Twin (DT) data of the InHARD-DT dataset which is the main objective of this paper. </p>
Microhabitat selection of meadow and steppe vipers enlightened by digital photography and image processing to describe grassland vegetation structure
<p>Dataset</p> <ol> <li> <p>Understanding animals’ selection of microhabitats is important in both ecology and biodiversity conservation. However, there is no generally accepted methodology for the characterisation of microhabitats, especially for vegetation structure.</p> </li> <li> <p>We studied microhabitat selection of <em>Vipera</em> snakes by comparing grassland vegetation structure between viper occurrence points and random points in three grassland ecosystems: <em>V. graeca</em> in mountain meadows of Albania, <em>V. renardi</em> in loess steppes of Ukraine, and <em>V. ursinii</em> in sand grasslands in Hungary. We quantified vegetation structure in an objective manner by automated processing of images taken of the vegetation against a vegetation profile board under standardised conditions. We developed an R script for automatic calculation of four vegetation structure variables derived from raster data obtained in the images: leaf area (LA), height of closed vegetation (HCV), maximum height of vegetation (MHC), and foliage height diversity (FHD).</p> </li> <li> <p>Generalized linear mixed models revealed that snake occurrence was positively related to HCV in <em>V. graeca</em>, to LA in <em>V. renardi</em> and to LA and MHC in <em>V. ursinii</em>, and negatively to to HCV in <em>V. ursinii</em>.</p> </li> <li> <p>Our results demonstrate that vegetation structure variables derived from automated image processing significantly influence viper microhabitat selection. Our method minimises the risk of subjectivity in measuring vegetation structure, allows upscaling if neighbouring pixels are combined, and is suitable for comparison of or extrapolation across different grasslands, vegetation types or ecosystems.</p> </li> </ol>
Digital twin of wooden shingle envelopes
<p>This dataset has been provided to make an accurate digital twin of wooden shingle envelopes. Wooden shingles are one of the most sustainable vernacular building systems that were widely used to cover building roofs and facades by expert craftspeople. This roofing technique extensively depends on craft knowledge and nowadays only a limited number of expert craftspeople know this technique. Additionally, there was no documentation or digital drawing of this local building system, before this research.</p> <p> <strong>In this research, we could successfully provide the first and most accurate documentation of this valuable type of architecture by digitizing the construction process of two types of wooden shingles, known as Tavillons and Bardeaux. </strong></p> <p>Two prototypes were built in collaboration with two Tavilloneurs, <a href="https://www.tavillon-bois.ch/">Here Schopfer</a> and <a href="https://www.tavillon-bardeau.ch/">François Krummenacher</a> at <a href="https://www.epfl.ch/labs/ibois/">IBOIS</a> laboratory and all the data was processed by the authores.</p> <p>This dataset contains both the raw 3d scans of all the individual wooden shingles for the two prototypes in PLY format, and also the 3D model of the final digital twin in 3dm format. </p> <p> </p> <p>This research is funded by the National Centres of Competence in Research (<a href="https://www.snf.ch/en/FJBJ8XGQ1tjG8J8w/funding/programmes/national-centres-of-competence-in-research-nccr">NCCRs</a>) and EPFL.</p>
Does internationalization trigger digitalization?
<p>Data and Code for Does internationalization trigger digitalization?</p>
Ostia Antica Digitized
<p>Shapefiles of Ostia Antica relating to the excavated built environment, classified buildings and their function, excavated street network, and the extended street network. All work based on:</p> <ul> <li>Crawford, K.A. (2018) "In the Footsteps of the Gods: The use of computational methods to explore the role of mobility in the religious landscape of 2nd century AD Ostia". Unpublished PhD Thesis: University of Southampton.</li> </ul> <p>The data has been used in the following open access publications:</p> <ul> <li>Crawford, K.A (2019) “Rethinking approaches for the study of urban movement at Ostia” In P. Verhagen – J. Joyce – M. Groenhuijzen (eds.), pp. 313–327, <em>Finding the Limits of the Limes</em>. Springer. DOI: <a href="https://doi.org/10.1007%2F978-3-030-04576-0_15">10.1007/978-3-030-04576-0_15</a></li> <li>Crawford, K.A. (2019) “Visualising Ostia’s Processional Landscape through a Multi-layered Computational Approach: Case Study of the Cult of the Magna Mater” <em>Open Archaeology </em>5(1): 444–467. DOI: <a href="https://doi.org/10.1515/opar-2019-0028">10.1515/opar-2019-0028</a></li> <li> Crawford, K.A. (2020) “Unravelling Urban Religious Landscapes: the impact of commercial activity on religious movement at Ostia.” In G. Glover – J. Moss – D. Rissolo (eds.), pp. 61–72, <em>Digital Archaeologies, Material Worlds (Past and Present): Proceedings of the 45rd Annual Conference on Computer Applications and Quantitative Methods in Archaeology. </em>Tübingen: Tübingen University Press. DOI<a href="http://dx.doi.org/10.15496/publikation-43231">: 10.15496/publikation-43231</a></li> <li>Crawford, K.A. (2022)<strong> </strong>‘Displaying Rituals: Simulating Potential Routes of the <em>navigium Isidis </em>Procession.’ <em>Journal of Urban Archaeology </em>6: 49–70.<em> </em>DOI: <a href="https://doi.org/10.1484/J.JUA.5.131733">https://doi.org/10.1484/J.JUA.5.131733</a></li> </ul>
Disconnect to reconnect. The role of physical activity in family digital detox, part II
<p>This research was funded in whole by National Science Centre, grant number: 2022/06/X/HS6/00121. </p> <p>This is the data containing the following additional documents created and used during the research project: filled-in questionaires.<br>All data are in doc/exe and odt/ods formats.</p> <p>You can use the files by ensuring full anonymity of respondents, whose data has been anonymized and whose identity in no way can be identified and made known, much less any sensitive data about the respondents.<br>The data can be used for other humanistic and social research, provided that the author of the database is stated.<br>The data were obtained in the course of diadic and individual interviews with adults, preceded by the completion of questionnaires about all family members surveyed.</p> <p>The full data set consists of 4 parts:</p> <p><a href="https://zenodo.org/record/8007244">https://zenodo.org/record/8007244</a> - transcriptions of interviews</p> <p><a href="https://zenodo.org/record/8007340">https://zenodo.org/record/8007340</a> - filled-in questionaires</p> <p><a href="https://zenodo.org/record/8007081">https://zenodo.org/record/8007081</a> - interviewers' reports</p> <p><a href="https://zenodo.org/record/8006974">https://zenodo.org/record/8006974</a> - interview script, questionnaire form, questionnaire annex, interviewer instructions, interviewer checklist</p>
Disconnect to reconnect. The role of physical activity in family digital detox, part I
<p>This research was funded in whole by National Science Centre, grant number: 2022/06/X/HS6/00121. </p> <p>This is the data containing the following additional documents created and used during the research project: transcriptions of interviews.<br>All data are in doc and odt formats.</p> <p>You can use the files by ensuring full anonymity of respondents, whose data has been anonymized and whose identity in no way can be identified and made known, much less any sensitive data about the respondents.<br>The data can be used for other humanistic and social research, provided that the author of the database is stated.<br>The data were obtained in the course of diadic and individual interviews with adults, preceded by the completion of questionnaires about all family members surveyed.</p> <p>The full data set consists of 4 parts:</p> <p><a href="https://zenodo.org/record/8007244">https://zenodo.org/record/8007244</a> - transcriptions of interviews</p> <p><a href="https://zenodo.org/record/8007340">https://zenodo.org/record/8007340</a> - filled-in questionaires</p> <p><a href="https://zenodo.org/record/8007081">https://zenodo.org/record/8007081</a> - interviewers' reports</p> <p><a href="https://zenodo.org/record/8006974">https://zenodo.org/record/8006974</a> - interview script, questionnaire form, questionnaire annex, interviewer instructions, interviewer checklist</p>
Disconnect to reconnect. The role of physical activity in family digital detox, part III
<p>This research was funded in whole by National Science Centre, grant number: 2022/06/X/HS6/00121. </p> <p>This is the data containing the following additional documents created and used during the research project: interviewers' reports.<br>All data are in doc and odt formats.</p> <p>You can use the files by ensuring full anonymity of respondents, whose data has been anonymized and whose identity in no way can be identified and made known, much less any sensitive data about the respondents.<br>The data can be used for other humanistic and social research, provided that the author of the database is stated.<br>The data were obtained in the course of diadic and individual interviews with adults, preceded by the completion of questionnaires about all family members surveyed.</p> <p>The full data set consists of 4 parts:</p> <p><a href="https://zenodo.org/record/8007244">https://zenodo.org/record/8007244</a> - transcriptions of interviews</p> <p><a href="https://zenodo.org/record/8007340">https://zenodo.org/record/8007340</a> - filled-in questionaires</p> <p><a href="https://zenodo.org/record/8007081">https://zenodo.org/record/8007081</a> - interviewers' reports</p> <p><a href="https://zenodo.org/record/8006974">https://zenodo.org/record/8006974</a> - interview script, questionnaire form, questionnaire annex, interviewer instructions, interviewer checklist</p>
Disconnect to reconnect. The role of physical activity in family digital detox, part IV
<p>This research was funded in whole by National Science Centre, grant number: 2022/06/X/HS6/00121. </p> <p>This is the data containing the following additional documents created and <br>used during the research project: interview script, questionnaire form, <br>questionnaire annex, interviewer instructions, interviewer checklist. <br>All data are in doc and odt formats.</p> <p>You can use the files by ensuring full anonymity of respondents, whose data <br>has been anonymized and whose identity in no way can be identified and made <br>known, much less any sensitive data about the respondents. <br>The data can be used for other humanistic and social research, provided <br>that the author of the database is stated. <br>The data were obtained in the course of diadic and individual interviews <br>with adults, preceded by the completion of questionnaires about all family <br>members surveyed.</p> <p>The full data set consists of 4 parts:</p> <p><a href="https://zenodo.org/record/8007244">https://zenodo.org/record/8007244</a> - transcriptions of interviews</p> <p><a href="https://zenodo.org/record/8007340">https://zenodo.org/record/8007340</a> - filled-in questionaires</p> <p><a href="https://zenodo.org/record/8007081">https://zenodo.org/record/8007081</a> - interviewers' reports</p> <p><a href="https://zenodo.org/record/8006974">https://zenodo.org/record/8006974</a> - interview script, questionnaire form, <br>questionnaire annex, interviewer instructions, interviewer checklist</p>
Podcast: Digitization, Archives, Use Cases. Tobias Wildi, Fachhochschule Graubünden
<p>Was sind die Grundlagen beim Digitalisieren? Entscheidungen, nachhaltige Strategien und Angebote für die Nutzenden. Über Daten- und Metadatenmodelle, die Anwendung semantischer Technologien in Gedächtnisinstitutionen und die langfristige Nutzbarhaltung digitaler Kulturgüter.</p> <p>What are the fundamentals of digitization? Decisions, sustainable strategies, and offers for users. About data and metadata models, the application of semantic technologies in memory institutions, and the long-term usability of digital cultural assets.</p> <p>Quali sono le regole di base della digitalizzazione? Decisioni, strategie sostenibili e offerte per gli utenti. Sui modelli di dati e metadati, sull'applicazione delle tecnologie semantiche nelle istituzioni della memoria e sulla fruibilità a lungo termine dei beni culturali digitali.</p> <p>Quelles sont les clés de la numérisation ? Des décisions, des stratégies durables et des offres pour les utilisateurs. Sur les modèles de données et de métadonnées, l'application des technologies sémantiques dans les institutions de mémoire et le maintien à long terme de l'utilité des biens culturels numériques.</p>
Digital twin
<p>Part models and their point cloud data</p>
The Electric Vehicle Travelling Salesman Problem on Digital Elevation Models for Traffic-Aware Urban Logistics Supplementary Material
<p>These files correspond to the supplementary material of the article <em>The Electric Vehicle Travelling Salesman Problem on Digital Elevation Models for Traffic-Aware Urban Logistics</em>. </p> <p><strong>Code</strong></p> <ul> <li><strong>algorithm.py</strong> corresponds to an implementation of the algorithm developed in the paper to solve the EV-TSP for the city of Madrid. It takes as input a list of nodes from the graph of Madrid city <strong>madrid_elevation_energy.pckl</strong> and the output consists of an ordered list of all the nodes representing the solution to the TSP.</li> <li><strong>bellmanFord.py</strong> is a Python implementation of the Bellman-Ford algorithm. </li> <li><strong>evaluation.py</strong> is the script that offers the evaluation of the algorithm offered in Tables 1 and 2 in the paper.</li> <li><strong>neuralNetworkTraining.py</strong> is the script used to train and save the Neural Network model using the data generated by <strong>simulation.py</strong>.</li> <li><strong>nn_model_predictor.py</strong> is a script where the model trained in <strong>neuralNetworkTraining.py</strong> can be used to generate predictions.</li> <li><strong>simulation.py</strong> is the script that simulated the routes through the months of October and November 2022 using the data in <strong>snapshots_2022.zip</strong>. It generates the routes in <strong>simulationOctober.csv</strong> and <strong>simulationNovember.csv</strong></li> <li><strong>twoOptNearestNeighnors.py</strong> is a Pyhton implementation of the 2-Opt algorithm that uses Nearest Neighbors to generate the initial tour.</li> </ul> <p><strong>Files</strong></p> <ul> <li><strong>Madrid{5,10,15}.pkl</strong> are the test instances for the city of Madrid. Correspond to Python list of list. Each list is a set of stops to visit in the city graph of Madrid (<strong>madrid_elevation_energy.pckl</strong>) </li> <li><strong>energy_estimation_full.h5</strong> is a Keras model trained using <strong>nn_model_predictor.py</strong> to estimate the energy.</li> <li><strong>scaler_full.pkl</strong> is the scaler needed to use the <strong>energy_estimation_full.h5</strong> model.</li> <li><strong>simulation{October, November}.pkl</strong> are the routes generated for each month using <strong>simulation.py</strong>.</li> <li><strong>snapshots_2022.zip</strong> are the traffic data for the months of October and November 2022</li> </ul>
Shale digital core
<p>The data is a digital core model of shale, and the folder contains 400 two-dimensional slices, which can be displayed with three-dimensional visualization software.</p>
Wednesday 6 May: Web-archives for Open Science, Sally Chambers, Ghent Centre for Digital Humanities
<p>Wednesday 6 May: Web-archives for Open Science, Sally Chambers, Ghent Centre for Digital Humanities</p>
Wednesday 6 May 2020: Digital Methods for Web History (Anne Helmond, University of Amsterdam)
<p>Wednesday 6 May 2020: Digital Methods for Web History (Anne Helmond, University of Amsterdam)</p>
Keynote speaker Simone Natale What is life to digital objects Luxembourg meeting 2020
<p>Keynote speaker Simone Natale What is life to digital objects Luxembourg meeting 2020</p>
Tuesday 5 May: Web Archives and Digital Humanities, Katharina Schmid, Bayerischer Staatsbibliothek
<p>Tuesday 5 May: Web Archives and Digital Humanities, Katharina Schmid, Bayerischer Staatsbibliothek</p>
The Labour Movement's Perspective on Digital Labour: The Case of Turkish Labour Unionists
<p>The Labour Movement's Perspective on Digital Labour (Turkey)</p>
Raw data - Digital scans - Sepsis Induces Heterogeneous Transcription of Coagulation- and Inflammation-Associated Genes in Renal Microvasculature
<p>Raw data of the manuscript "<em>Sepsis Induces Heterogeneous Transcription of Coagulation- and Inflammation-Associated Genes in Renal Microvasculature</em><em>"</em> as published in Thrombosis Research (<a href="https://doi.org/10.1016/j.thromres.2024.03.014" target="_blank" rel="noopener">doi.org/10.1016/j.thromres.2024.03.014</a>) is included. Types of included data are:</p> <p> </p> <p>- NDPI files of digital scans showing immunohistochemical (IHC) protein staining in mouse kidney</p> <p>- NDPI files of digital scans showing Martius Scarlet Blue staining (MSB) in mouse kidney</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.