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757 results for “twinning”
A Structured Review on the Human Digital Twin (until March 2024)
<p>This bibliography is related to the paper "Perspectives-Observer-Transparency - Structured Review of the Human Digital Twin and Novel Paradigm for Modelling the Human in Human-To-Anything Interaction" by Nils Mandischer, Alexander Atanasyan, Michael Schluse, Jürgen Roßmann, and Lars Mikelsons, currently under submission to the IEEE International Conference on Systems, Man, and Cybernetics as of April 2024.<br> <br>The references are collected as part of a structured literature review on modelling approaches for humans and artificial agents and the perspectives taken on them. Particular interest lays on the (Human) Digital Twin which proved to be a relatively nascent approach that quickly gained interest at the time of writing. Please refer to the publication for a more detailed description of the review method.<br> <br>The conference paper DOI will be provided to Zenodo upon publication. For updates, additional context, or inquiries, please contact Alexander Atanasyan [Atanasyan@mmi.rwth-aachen.de] or Nils Mandischer [nils.mandischer@uni-a.de].</p>
Transmission-scanning electron microscopy of interface fracture of ferrite deformation twins
Open the record for dataset details and reuse information.
A digital twin model of urban utility tunnels and its application:One-dimensional comparison verification
<div> <div> <div> <div> <div> </div> 重点词汇</div> <div> <div>93<em>/</em>5000</div> </div> </div> </div> </div> <div> </div> <div> <div> <div> <div> <div> <div>通用场景</div> <div> </div> </div> </div> </div> </div> <div> <div> <p><span>论文《城市综合管廊数字孪生模型及其应用》中一维综合管廊中天然气浓度分布快速预测模型结果对比</span></p> </div> </div> </div>
Modeling Languages for Digital Twins - A Survey Among the German Automotive Industry
<p>This repository contains the replication package for the paper _Modeling Languages for Digital Twins: A Survey Among the German Automotive Industry_ by Jérôme Pfeiffer, Dominik Fuchß, Thomas Kühn, Robin Liebhart, Dirk Neumann, Christer Neimöck, Christian Seiler, Anne Koziolek, and Andreas Wortmann. <br>The paper has been submitted to the practice track of [MODELS 2024](https://conf.researchr.org/track/models-2024/models-2024-technical-track#Practice-Track).</p> <h3>Data</h3> <p>This replication package contains all information from the survey:<br>- `results.csv`: A csv version of all data exported from LimeSurvey (German). Personal information from the participants has been removed. This file can be imported to reproduce the extraction results described in our paper.<br>- `survey_german.pdf`: The pdf version of the original survey in German. <br>- `survey_german.md`: A markdown version of the original survey in German. <br>- `survey_english.md`: A markdown version of the survey translated into English. </p> <h3>Selection of participants and distribution</h3> <p>With both versions, the survey can be executed again with a different target audience in English or German. In our case we wanted to reach as much participants from diverse work areas as possible, where we invited the participants by email via an internal mailing list of 189 members of the SofDCar project. To improve the response rate, we implemented two deadline extensions from the initial one-month-long time frame with 2 weeks of additional response time. Together with the deadline extension, we sent a mail to inform and remind the members of the consortium of the survey.</p> <h3>Data extraction</h3> <p>In total, we had 96 participants, of which 43 completed the questionnaire. For incomplete survey responses, we took only the available answers and did not include the missing answers in our data analysis. For data analysis we utilized the commercial Tool IBM SPSS and custom python scripts.</p> <h2>Research Questions </h2> <p>- RQ1: How is the DT understood in the automotive industry?<br> - RQ1.1: For which phases of automotive development are DTs<br>important?<br> - RQ1.2: What are desired properties of DTs?<br> - RQ1.3: What are desired purposes of using DTs?<br> - RQ1.4: How do these purposes change in relation to different phases of automotive development?<br>- RQ2: Which modeling languages and modeling tools are currently employed in the automotive industry?<br> - RQ2.1: Which kinds of models are important during automotive development?<br> - RQ2.2: How important are which models in the phases of automotive development?<br> - RQ2.3: Which tools are used to create and maintain these models?</p>
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", Fürntratt et al.</p> <p>Data are anonymized and provided with segmentation mask ground truths. </p>
Twin Worlds, Divergent Fates: How Obliquity has differently shaped Pluto's and Triton's landscapes and climates
<p>Netcdf files : simulations of Pluto and Triton (Fig. 3)</p> <p> </p>
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 & 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. </p>
Supplemental materials for "Boosting Barlow Twins reduced order modeling for machine learning-based surrogate models in multiphase flow problems"
<p>Supplemental materials for "Boosting Barlow Twins reduced order modeling for machine learning-based surrogate models in multiphase flow problems" in Water Resources Research. Detailed information is available in readme.md.</p>
Dataset for generation of LOD4 models for buildings towards the automated 3D modeling of BIMs and digital twins
<div> <div>This repository contains the dataset used for the automated image-based generation of LOD4 models for buildings, along with the corresponding results. The methodology utilizing this dataset was presented in the paper "Generation of LOD4 models for buildings towards the automated 3D modeling of BIMs and digital twins" by Pantoja-Rosero et., al. (2024) (https://doi.org/10.1016/j.autcon.2024.105822).</div> </div>
FIGURE 4 in A twin of Polydora hoplura (Annelida: Spionidae) from the Arabian (Persian) Gulf, with review of primers used for barcoding of Spionidae
FIGURE 4. Adult morphology and reproduction of Polydora mohammadi sp. nov. from the Arabian Gulf, Kuwait (in life). A, complete individual, dorsal view, showing white gatherings of glandular cells on dorsal side of median chaetigers. B, anterior end, dorsal view, showing small spots of ochre pigment on chaetigers 4 and 5. C, posterior end, dorsal view. D, E, part of egg capsules brooded by female inside burrow in a shell of the pearl oyster Pinctada margaritifera. Scale bars: A = 0.3 mm, B, C = 0.1 mm, D, E = 0.5 mm. A−E—MIMB 42695.
FIGURE 8 in A twin of Polydora hoplura (Annelida: Spionidae) from the Arabian (Persian) Gulf, with review of primers used for barcoding of Spionidae
FIGURE 8. Adult morphology of Polydora mohammadi sp. nov. from the Arabian Gulf, Kuwait. A, relationships between length of caruncle (in chaetiger numbers) and total number of chaetigers in worm. B, relationships between arrangement of branchiae (referring to number of the last branchiate chaetiger), arrangement of spines in posterior notopodia (referring to number of the first chaetiger bearing awl-like and sickle-shaped spines) and total number of chaetigers in worm. C, relationships between arrangement of gametes (referring to number of the first and the last chaetiger with gametes) and total number of chaetigers in worm.
FIGURE 5 in A twin of Polydora hoplura (Annelida: Spionidae) from the Arabian (Persian) Gulf, with review of primers used for barcoding of Spionidae
FIGURE 5. Adult morphology of Polydora mohammadi sp. nov. from the Arabian Gulf, Kuwait. A, B, palps with black bands on sides of frontal groove. C, anterior end, left lateral view. D, female fertile chaetigers, left lateral view, showing nephridia stained with MG (arrows). E, chaetiger 5 chaetae of a 33-chaetiger juvenile. F, G, chaetiger 5 chaetae of large mature individuals. Abbreviations: an = occipital antenna, br = branchiae, ch5 = chaetiger 5, co = bilimbate companion chaetae, fa = heavy falcate spines, su = dorsal superior capillaries, ve = ventral capillaries. Scale bars: A−C = 200 µm, D = 100 µm, E−G = 30 µm. A, C—MIMB 42698 (holotype), B—MIMB 42697, D−G—MIMB 42696. A−D—formalin-fixed specimens, C, D—stained with methyl green.
FIGURE 3 in A twin of Polydora hoplura (Annelida: Spionidae) from the Arabian (Persian) Gulf, with review of primers used for barcoding of Spionidae
FIGURE 3. Methyl green staining of Polydora hoplura (formalin-fixed specimens; palps missing). A, general view. B, anterior end, ventral view. C, anterior end, left lateral view. D, anterior end, curved. E, anterior end, dorsal view. F, middle chaetigers, dorsal view. Abbreviation: an = occipital antenna, br = branchiae, ch5 = chaetiger 5. Scale bars: A = 500 µm, B−F = 200 µm. A—Mar Grande of Taranto, Italy (MIMB 33029), B−F—Gulf of Naples, Italy (MIMB 28148).
FIGURE 7 in A twin of Polydora hoplura (Annelida: Spionidae) from the Arabian (Persian) Gulf, with review of primers used for barcoding of Spionidae
FIGURE 7. Post-fixation pigmentation and methyl green staining of Polydora mohammadi sp. nov. from the Arabian Gulf, Kuwait (formalin-fixed specimens). A, complete individual, dorsal view. B, anterior end, dorsal view. C, chaetigers 5–16, dorsal view. D, posterior branchiate chaetigers, dorsal view. E, H, I, posterior ends, dorsal view. F, G, middle chaetigers, dorsal view. Abbreviation: ch5 = chaetiger 5. Scale bars: A−E = 200 µm, F, I = 100 µm, G, H = 50 µm. A, B—MIMB 42694, C—MIMB 42696, D—MIMB 33068, E−H—MIMB 42695. A, C−E—in reflected light; B, F−I—in transmitted light; A−C, F−I—stained with methyl green; D, E—showing transverse bands of dark ochre pigment appeared after fixation in formalin; H, I—showing cells stained with methylene green and paired gatherings of dark ochre pigment appeared after fixation in formalin.
FIGURE 9 in A twin of Polydora hoplura (Annelida: Spionidae) from the Arabian (Persian) Gulf, with review of primers used for barcoding of Spionidae
FIGURE 9. Reproductive biology of Polydora mohammadi sp. nov. from the Arabian Gulf, Kuwait (in life). A, B, coelomic sperm, showing diads of spermatocytes I, tetrads of spermatocytes II, octads of spermatids (A), and mature spermatozoa (B). C, coelomic oocytes. D, newly spawn eggs from egg capsule. E, part of egg capsules each attached by two stalks to wall of female's burrow. Scale bars: A, B = 10 µm, C, D = 50 µm, E = 100 µm. A−E—MIMB 42696.
FIGURE 6 in A twin of Polydora hoplura (Annelida: Spionidae) from the Arabian (Persian) Gulf, with review of primers used for barcoding of Spionidae
FIGURE 6. Adult morphology of Polydora mohammadi sp. nov. from the Arabian Gulf, Kuwait (in life). A, anterior end, dorsal view, showing small spots of ochre pigment on chaetigers 4 and 5. B, anterior end, ventral view. C, middle part of a palp, frontal view, showing ciliated groove bordered by low papillae bearing short non-motile cirri. D, posterior end, dorsal view. E, bidentate hooded hooks from a middle neuropodium. F, heavily recurved, sickle-shaped spines from posterior notopodia. G, right side of posterior postbranchiate chaetigers, dorsal view, showing notopodia with heavy spines in addition to slender capillaries. H, fragment of G, showing slender and slightly curved awl-like spine (aw) and heavily recurved sickle-shaped spine (si). Scale bars: A, B = 100 µm, C, E, G, H = 30 µm, D = 50 µm, F = 20 µm. A, D—MIMB 42695, B, C, E−H—MIMB 33067.
FIGURE 2 in A twin of Polydora hoplura (Annelida: Spionidae) from the Arabian (Persian) Gulf, with review of primers used for barcoding of Spionidae
FIGURE 2. Natural and post-fixation pigmentation of Polydora hoplura (formalin-fixed specimens). A, anterior end, left lateral view, palps missing, showing black pigment scattered on prostomium and lateral side of peristomium. B, posterior branchiate chaetigers, dorsal view, showing paired bands of dark ochre pigment appeared after fixation in formalin. C, posterior end, dorsal view, showing heavy recurved spines in posterior notopodia. Scale bars: A−C = 200 µm. A−C—Mar Grande of Taranto, Italy (MIMB 33029).
FIGURE 1 in A twin of Polydora hoplura (Annelida: Spionidae) from the Arabian (Persian) Gulf, with review of primers used for barcoding of Spionidae
FIGURE 1. Majority rule consensus tree of the Bayesian inference analysis of the combined COI (1134 bp), 16S (248 bp), 18S (1572 bp), 28S (228 bp), and Histone 3 (299 bp) sequences (3481 bp in total) of Polydora spp. rooted with sequences of Polydora brevipalpa Zachs, 1933. Posterior probabilities are shown on the branches. The numbers preceding collecting locations are unique numbers from the VIR database linking the individuals on the tree with the sampling data in Table 1; numbers of individuals/isolates are separated from sample numbers by dots.
Digital Twin-based Out-of-Distribution Detection in Autonomous Vessels
<p>This folder contains datasets, code, and analysis scripts for reproducing the results in the paper "Digital Twin-based Out-of-Distribution Detection in Autonomous Vessels". Specifically, it contains the following folders: </p> <ol> <li>Datasets <ol> <li>Dataset for each Vessel model in different maneuvers and conditions, i.e., waypoint, zigzag, ocean current (including IND and OOD).</li> <li>Configurations (Configurations used to train the DTM for each vessel in different maneuvers).</li> </ol> </li> <li>Results <ol> <li>Raw results for RQ1 and RQ2 for each vessel in different maneuvers, including the results from DTM-R and DTM-E.</li> <li>Results for RQ3 (statistical tests) derived from the above results. </li> </ol> </li> <li>Scripts and Code <ol> <li>Scripts used for statistical tests.</li> <li>DTC implementation (shown with one vessel as example).</li> <li>Code used for hyperparameter optimization.</li> <li>Inference class used for integration of DTM and DTC.</li> </ol> </li> </ol>
Comparison of CIMI simulations and TWINS observations on 28th--29th June 2013
<p>The file contains results of CIMI simulations for 28-29 June 2013. Variation of ion pressure, anisotropy, intensity and ion spectra with locations given by radial distance rho and magnetic local time is included.</p>
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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.