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2,373 results for “Platform”
FIGURE 1 in Preliminary account on the bryozoans of the Alboran platform (Western Mediterranean), with description of two new species
FIGURE 1. Map of the study area showing the Alboran Sea. A. The location of the Alboran platform is indicated by the dashed square. B. Topographic map showing all sampling sites of the INDEMARES-Alboran project-2011, the dashed square indicates the location of the samples analysed in this study: BV12, BV13, BV14 and BV15. Modified from Gofas et al. (2012).
Raw data for "Preclinical upper- limb neurorobotic platform to assess, rehabilitate and develop therapies"
<p>Source data for all figures. Tabulated data underlying the data points in all plots of each individual figure.</p>
A microfluidic platform to investigate the role of mechanical constraints on tissue reorganization
<p>Movie 1: 40 minutes long timelapse (brightfield) of an aggregate aspired in a channel.<br> <br> Movie 2: 60 minutes long timelapse (two-photon microscopy) of an aggregate aspired in a channel.<br> <br> Movie 3: cell-cell junctions involved in cellular rearrangements in Supplementary Movie 2.<br> <br> Movie 4: aspiration and rapid relaxation experiment (two-photon microscopy).<br> <br> Movie 5: relaxation experiment after a long aspiration (two-photon microscopy).</p>
Data related to "Bilayer WSe2 as a natural platform for interlayer exciton condensates in the strong coupling limit"
<p>Data related to "Bilayer WSe2 as a natural platform for interlayer exciton condensates in the strong coupling limit"</p>
Supplement table of meso- and macrozooplankton taxa obtained using dual metabarcoding platforms in the Ross Sea
<p>Supplement tables containing information about publications on meso- and marcozooplankton taxa in the Ross Sea using dual metabarcoding analyses (PacBio and MiSeq platforms)</p>
Evaluation of a Meta-Modeling Platform for AR and VR Using the Example of ArchiMate
<p>Enterprise models are often used to deal with the increasing complexity of enterprise architectures, but their potential is far from being fully exploited. One reason for this is that enterprise modeling is seen as an expert discipline. In order to further exploit the potential, enterprise modeling should evolve from an expert discipline to a common practice. By embedding modeling in everyday work practices, also non-experts in modeling become enabled to engage in the modeling process. Augmented reality can help to achieve this vision. Therefore, a meta-meta-modeling framework for augmented and virtual reality-based conceptual modeling has been developed and implemented in a prototypical tool. By conducting a design science research project, this work evaluated the prototype by using the example of ArchiMate. Subsequently, requirements for the further development of the platform were derived. The results showed that a subset of the ArchiMate standard was successfully implemented in the meta-modeling platform. However, the platform still needs to provide further functionalities in order to fully address the ArchiMate conformance requirements and to mitigate the weaknesses of the platform, especially in the area of usability. It can be concluded that the further development of the platform is crucial in order to offer it to a broader user group, and, therefore, to get closer to the vision of enterprise modeling evolving from an expert discipline to a common practice. </p>
Raw data for: Spidroin N-terminal domain forms amyloid-like fibril based hydrogels and provides a protein immobilization platform
<p>Raw data for the article "Spidroin N-terminal domain forms amyloid-like fibril based hydrogels and provides a protein immobilization platform." to be published in Nature communications.</p>
Data from: Nonprehensile Manipulation of Parts on a Horizontal Circularly Oscillating Platform with Dynamic Dry Friction Control
<p>Data from the paper "Nonprehensile Manipulation of Parts on a Horizontal Circularly Oscillating Platform with Dynamic Dry Friction Control" <a href="https://doi.org/10.3390/s21165581">https://doi.org/10.3390/s21165581</a></p> <p>This paper presents a novel method for nonprehensile manipulation of parts on a circularly oscillating platform when the effective coefficient of dry friction between the part and the platform is being dynamically controlled. Theoretical and experimental analyses have been performed to validate the proposed method and to determine the control parameters that define the characteristics of the part’s motion. A mathematical model of the manipulation process with dynamic dry friction control was developed and solved. The modeling showed that by changing the phase shift between the function for dynamic dry friction control and the function defining the circular motion of the platform, the part can be moved in any direction as the angle of displacement can be controlled in a full range from 0 to 2<em>π</em>. The nature of the trajectory and the mean displacement velocity of the part mainly depend on the width of the rectangular function for dynamic dry friction control. To verify the theoretical findings, an experimental setup was developed, and experiments of manipulation were carried out. The experimental results qualitatively confirmed the theoretical findings. The presented analysis enriches the classical theories of nonprehensile manipulation on oscillating platforms, and the presented findings are relevant for mechatronics, robotics, mechanics, electronics, medical, and other industries.</p>
Data from: Analysis on Conveying of Miniature and Microparts on a Platform Subjected to Sinusoidal Displacement Cycles with Controlled Dry Friction
<p>Data from the paper "Analysis on Conveying of Miniature and Microparts on a Platform Subjected to Sinusoidal Displacement Cycles with Controlled Dry Friction" <a href="https://doi.org/10.5755/j02.mech.28195">https://doi.org/10.5755/j02.mech.28195</a></p> <p>This paper presents a novel method for conveying of miniature and microparts on a subjected to sinusoidal displacement cycles in the horizontal direction when the effective coefficient of dry friction between the part and the platform is periodically being controlled. Hereby, the required dynamic directionality is achieved via the system asymmetry created by periodic alteration of the effective coefficient of dry friction between the micropart and the platform. A mathematical model of conveying process is developed and solved numerically to determine the influence of frictional properties, friction control and sinusoidal excitation parameters on the conveying process characteristics. It was found that the velocity and direction of conveying can be easily controlled in a wide range by changing the phase shift between the function of the ef-fective dry friction coefficient and the function of horizon-tal sinusoidal displacement cycles as well as the duration of effective dry friction coefficient reduction. To test the theoretical findings in practise, an experimental setup for micropart conveying with controlled dry friction was created and build. The experimental results revealed the functional capabilities of the proposed method for micropart conveying by demonstrating how the velocity, direction and step size are controlled by regulating the parameters of friction control and sinusoidal excitation.<br> The proposed method can be practically used in conveying, feeding, manipulation and assembly systems for miniature and microparts in the mechatronics, electronic and other industries.</p>
A high-throughput integrated biofilm-on-a-chip platform for the investigation of combinatory physicochemical responses to chemical and fluid shear stress
<p>Excel files for the data presented in the corresponding manuscript. </p>
Data of "Universal platform for scalable semiconductor-superconductor nanowire networks '
<p>Data of "Universal platform for scalable semiconductor-superconductor nanowire networks '</p>
Anything goes? – On the EU initiative for a greater diversity of scientific publishing platforms
<p>Over the last 50 years reseachers has been facing opposing incentives: On one hand University Management has urged them to focus on publishing their work in international scientific journals readable only to peers, since only such publications would lead to promotions and tenures. On the other hand politicians, journalists and the public has a legitimate claim for researchers to justify themselves and their work in the public arena. Now the EU commission has drafted an agreement to be signed by the European universities in the autumn 2022. One of the intentions of the agreement is to establish incentives for researchers to publish on other platforms and in other formats. Another goal is to move away from irresponsible use of metrics and university rankings when assessing researcher and research quality.</p> <p> </p> <p> </p>
A Multiscale Simulation Platform for Connected and Automated Transportation Systems
<p>The uploaded set contains real-world vehicle, traffic, demand data, simulation network and simulation testing data.</p>
Supporting data of A versatile mass-sensing platform with tunable nonlinear self-excited microcantilevers
<p><span>Supporting data for publication "</span>A versatile mass-sensing platform with tunable nonlinear self-excited microcantilevers"</p>
WebMicroscope's Deep Learning AI platform automates image analyses with an approach that is faster and able to understand tissue context, which reduces steps needed for accurate results. Researchers can gain access to digitized samples, such as this image of breast-cancer tissue (left), and analyze results through the cloud platform anywhere, anytime. This is a whole slide image of a tissue section of an adrenal gland (right). Fimmic's WebMicroscope cloud platform allows researchers to manage, share, and view digital gigapixel images with any modern browser. Researchers can rapidly pan, zoom, and analyze a digital sample. Photographs: Courtesy of Fimmic Oy. in Deep learning brings speed, accuracy to the life sciences.
WebMicroscope's Deep Learning AI platform automates image analyses with an approach that is faster and able to understand tissue context, which reduces steps needed for accurate results. Researchers can gain access to digitized samples, such as this image of breast-cancer tissue (left), and analyze results through the cloud platform anywhere, anytime. This is a whole slide image of a tissue section of an adrenal gland (right). Fimmic's WebMicroscope cloud platform allows researchers to manage, share, and view digital gigapixel images with any modern browser. Researchers can rapidly pan, zoom, and analyze a digital sample. Photographs: Courtesy of Fimmic Oy.
Analytical sensitivity of DECISION platform
Open the record for dataset details and reuse information.
Misinformation from various social media platforms (August 21, 2018 - August 21, 2023)
<p>The dataset contains 226,681 misinformation from 6,235 distinct sources, <span>span</span><span>ning the period from August 21, 2018, to August 21, 2023.</span></p> <p>Here is an example from the dataset: </p> <p>{<br> "source": {<br> "id": null,<br> "name": "AllAfrica - Top Africa News"<br> },<br> "author": "",<br> "title": "Court of Public Opinion Is Real",<br> "description": "[The Herald] Tomorrow Zimbabwe is going to experience a reality show as the Constitutional Court presides over the election petition against President Mnangagwa's electoral victory.",<br> "url": "https://allafrica.com/stories/201808210151.html",<br> "urlToImage": "http://allafrica.com/static/images/structure/aa-logo-rgba-no-text-128x128.png",<br> "publishedAt": "2018-08-21T08:12:01Z",<br> "content": "opinion Tomorrow Zimbabwe is going to experience a reality show as the Constitutional Court presides over the election petition against President Mnangagwa's electoral victory. Lawyers are going to t… [+9083 chars]",<br> "filename": "Court of Public Opinion Is Real",<br> "createdon": "2023-08-22T08:01:22.056Z",<br> "md5": "14aff384df16e3f03e692ba092791e94",<br> "text": "[The Herald] Tomorrow Zimbabwe is going to experience a reality show as the Constitutional Court presides over the election petition against President Mnangagwa's electoral victory."<br>}</p> <p> </p>
Cross-Platform Autonomous Control of Minimal Kitaev Chains
<p>This folder contains the raw data and code used to generate the plots for the paper <em>Cross-Platform Autonomous Control of Minimal Kitaev Chains</em>.</p> <p>To run the Jupyter notebook, install Anaconda and execute:</p> <blockquote> <p><em>conda env create -f </em>environment.yml</p> </blockquote> <p>followed by:</p> <blockquote> <p><em>conda activate KitaevML</em></p> </blockquote> <p>Finally,</p> <blockquote> <p><em>jupyter lab</em></p> </blockquote> <p>to launch the notebook.</p> <p>Raw data are stored in netCDF (.nc) format, or as full QCoDeS databases (.db). Logs of autonomous tuning runs are saved as log files (.txt). The experimental datasets are exported by the data acquisition package QCoDeS and can be read as an xarray Dataset. The ipython notebook <em>Data labelling notebook.ipynb </em>contains the code for labelling the 2DEG and nanowire datasets. The ipython notebook <em>Zenodo Paper Figures.ipynb</em> contains all the code for generating the paper figures. </p> <p>The machine learning model and automated tuning algorithm can be publicly accessed here: https://gitlab.com/QMAI/papers/crossplatformkitaev.<br>This repo contains a pip-installable module ``PMMSGD` that can be used to predict (Delta-t)/(Delta+t) using:</p> <pre><code>pred = PMMSGD.get_Delta_minus_t(dbx, 'CNN_weighted_ratio_theory', ['G_LL*G_RR'])</code></pre> <p>which uses the neural network that was exclusively trained on theory data</p> <p>For the automated tuning algorithm we used this predictor:</p> <pre><code>pred = PMMSGD.get_Delta_minus_t(dbx, 'CNN_weighted_ratio', ['G_LL*G_RR'])</code></pre> <p><br>which uses the neural network that was additionally trained on data from the 2DEG device.</p>
Supplementary footage for ctenophore-inspired soft robotic platform
<p>These three folders contain supplementary footage for “Encoding spatiotemporal asymmetry in artificial cilia with a ctenophore-inspired soft-robotic platform”.</p> <p>“Phase-averaged” contains gifs of phase averaged horizontal component of velocity (u), velocity magnitude, and vorticity. Note the folder naming convention denotes the shape of the propulsor, followed by the number of magnets on the timing belt (low or high phase lag), followed by the beat frequency.</p> <p>“PIV” contains videos of the flow fields computed with Particle Image Velocimetry. The horizontal component of velocity and vorticity are included for each propulsor shape, phase lag, and beat frequency listed above.</p> <p>“Raw_footage” contains videos of the raw footage used for kinematics and PIV.</p>
Illustrations 6 DoF-Platform, Gait, Stance
<p>Illustrations of 6 DoF-Motion Platform (Moog 6DOF2000E), stance, and gait. </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.