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101
datasets available to search
ShareScore release 0.9.0
Dataset results
101 results for “Digital Twins”
Physics-driven universal twin-image removal network for digital in-line holographic microscopy - dataset
<p>Dataset (Matlab files) containing holograms and reference reconstructions employed in:<br> <br> M. Rogalski, P. Arcab, L. Stanaszek, V. Micó, C. Zuo and M. Trusiak, "Physics-driven universal twin-image removal network for digital in-line holographic microscopy", Submitted 2023<br> <br> This dataset should be used together with the codes present at:<br> https://github.com/MRogalski96/UTIRnet</p>
Digital twins of the steel-concrete interface based on FIB-SEM tomograms
<p>This dataset contains four digital twins of the steel concrete interface (SCI), i.e. segmented tomograms of the SCI acquired by means of a FIB-SEM microscope. More information can be found here: (TBD)</p>
Video Showcasing the Digital Twin Developed for PRECINCT Living Lab 3 (Athens)
<p>This video showcases the Digital Twin developed for LL3 (Athens) during the PRECINCT project</p>
A Digital Method for Measurement of Palatal Asymmetry in Twins
ClinicalTrials.gov study NCT05349942. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Integrating Whole Genome Sequencing and Digital Twins Into the Management of Hypercholesterolemia in Emiratis
ClinicalTrials.gov study NCT06535542. IPD Sharing: YES. Countries: 1. Publications: 6.
Application of Digital Twins' Technology in Patients Who Had a Stroke, with Moyamoya Disease and with Cerebral Amyloid Angiopathy (CAA) During the Secondary Prevention Phase: a Proof of Concept Using
ClinicalTrials.gov study NCT06714097. IPD Sharing: NO. Countries: 1. Publications: 4.
Digital Twins for Model-driven Non-invasive Electrical Brain Stimulation
ClinicalTrials.gov study NCT06826261. IPD Sharing: YES. Countries: 1. Publications: 22.
Precision Subclassification of Mental Health in Diabetes: Digital Twins for Precision Mental Health to Track Subgroups
ClinicalTrials.gov study NCT07212075. IPD Sharing: UNDECIDED. Countries: 1. Publications: 15.
Dataset for Digital Twin Driven Smart Manufacture paper
<p>Description for each profile:</p><ol><li>1) "1. Real-time testing of the data collection system" is the consumption time of collection and transmission of high-frequency data from edge sensors to the fog sever.</li><li>2) "2. Response time testing of multi-user data queries for data management system" is the write response time of HBase-module and Redis-module to receive data from fog sever.</li><li>3) "3. Interface response time testing for data management system" shows the test results of four scenarios in which the multi-user login system sends data query requests to the back-end interface.</li></ol>
Dataset for "Application of Digital Twins for Simulation Based Tailoring of Laser Induced Graphene"
Open the record for dataset details and reuse information.
Simulation and experimental data of frequency domain and time domain optical signal measurements for optical network digital twins
<p>The dataset contains IQ optical constellation samples for 16-QAM optical connections. Data have been generated both experimentally and through simulations with a MATLAB-based simulator. Different configurations have been simulated: 62 lightpaths having a different number of spans and links and 4 soft-failures affecting a lightpath with increasing failure magnitude.</p>
Training Datasets for Digital Twin of Diffusion Experiments
<p>This repository contains the training datasets generated from lattice Boltzmann simulations.</p>
Data of Building information modelling (BIM), Historic BIM (HBIM), Digital Twins and IoT
Open the record for dataset details and reuse information.
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>
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>
Digital twin
<p>Part models and their point cloud data</p>
Digital Twin-Haptic Integrated Mixed Reality Simulation
ClinicalTrials.gov study NCT07310160. IPD Sharing: UNDECIDED. Countries: 0. Publications: 3.
A dynamic single cell-based framework for digital twins to prioritize disease genes and drug targets
GEO Series GSE180697. Homo sapiens. 65 samples. Type: Expression profiling by high throughput sequencing.
Digital Twin Technologies Towards Understanding the Interactions between Transportation and other Civil Infrastructure Systems: UTEP Campus LIDAR
<p>LiDAR point cloud data collected by FEMA and processed here to focus on the UTEP campus.</p>
Demonstration of Digital Twin-Enabled Collision Mitigation for Path Constrained Applications
<p>This video presents a depiction of each robot and their surrounding environment in <em>RViz</em>, along with a video recording of both robots. It also features a monitor of the output from the <em>Collision Zones FMU</em>.</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.