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644 results for “Data Visualization”
Test data for MetIVA ( An XR-based Interactive Visualization Platform for Real-time Exploring Dynamic Earth Science Data)
<p>Here,we presented the minimum demanded dataset to test the basic fuction of the software of MetIVA, which an XR-base interactive visualization platform for real-time exploring dynamic earth science data. The dynamic realtime data of traffic information (such as traffic volume, traffic spped, jam conditions) is directy obtained from the third-party supplier, such as Mapbox in the test version of MetIVA, the users can change it to other sources. The users have their own accounts on the cloud computing platform to run the numerical models (such as WRF), the outputed results (in NetCDF format) can be sent to cloud storage and the link address need to be provided in the MetIVA.</p>
Data for "Visual Analytics for Enhancing Quality and trust in Genome-Wide Expression Clustering and Annotation"
<p><a href="https://rictjo.github.io/?https://gist.githubusercontent.com/rictjo/bb993a532f92298639b70bf7f2cd758d/raw/e2def8df7c20551e16f296c7c303308e5418c5e9/index.html">RasteredHPA23v06BloodReport (https://rictjo.github.io/?https://gist.githubusercontent.com/rictjo/bb993a532f92298639b70bf7f2cd758d/raw/e2def8df7c20551e16f296c7c303308e5418c5e9/index.html)</a></p> <p><a href="https://rictjo.github.io/?https://gist.githubusercontent.com/rictjo/087802569e028f96648dd5387bf4aba7/raw/4c9d65f96127ff9620509cbcf2b8d01435455705/index.html">RasteredHPA23v06brainReport (https://rictjo.github.io/?https://gist.githubusercontent.com/rictjo/087802569e028f96648dd5387bf4aba7/raw/4c9d65f96127ff9620509cbcf2b8d01435455705/index.html)</a></p> <p><a href="https://rictjo.github.io/?https://gist.githubusercontent.com/rictjo/bf5d7b90428a514bbdbe7e138863d04c/raw/6cb942e57d7a703e6cf78027813aa65e340b7c78/index.html">RasteredHPA23v06CellineReport (https://rictjo.github.io/?https://gist.githubusercontent.com/rictjo/bf5d7b90428a514bbdbe7e138863d04c/raw/6cb942e57d7a703e6cf78027813aa65e340b7c78/index.html)</a></p> <p><a href="https://rictjo.github.io/?https://gist.githubusercontent.com/rictjo/44315c0313299e9a8fe5d3ba3dac49fa/raw/200be056379260764b5c94064f38e7b8f33fbcc5/index.html">RasteredHPA23v06SinglecellReport (https://rictjo.github.io/?https://gist.githubusercontent.com/rictjo/44315c0313299e9a8fe5d3ba3dac49fa/raw/200be056379260764b5c94064f38e7b8f33fbcc5/index.html)</a></p> <p><a href="https://rictjo.github.io/?https://gist.githubusercontent.com/rictjo/d6ce47837daf019acc5e22baef379b79/raw/88600436126299a6a56984b3671f1e98630e6c19/index.html">RasteredHPA23v06TissueReport (https://rictjo.github.io/?https://gist.githubusercontent.com/rictjo/d6ce47837daf019acc5e22baef379b79/raw/88600436126299a6a56984b3671f1e98630e6c19/index.html)</a></p> <p>goto gist then check revision for report datestamps</p>
Data from: Diversity and evolution of frog visual opsins: spectral tuning and adaptation to distinct light environments
<p>Datasets for the publication Diversity and evolution of frog visual opsins: spectral tuning and adaptation to distinct light environments.</p>
Stable Machine-Learning Parameterization of Subgrid Processes in a Comprehensive Atmospheric Model Learned From Embedded Convection-Permitting Simulations: Data and Visualization Notebooks
<p>The data, jupyter notebooks, and saved model weights for the "Stable Machine-Learning Parameterization of Subgrid Processes in a Comprehensive Atmospheric Model Learned From Embedded Convection-Permitting Simulations" Hu et al. (2025) arxiv preprint: <a href="https://arxiv.org/abs/2407.00124">arXiv:2407.00124</a>. This updated version contains more analysis notebooks together with related data/model.</p>
Processed Data and codes for visualization
<p>Processed Data and codes for visualization</p>
Data from: Insect visual sensitivity to long wavelengths enhances colour contrast against vegetation
<p><span><span><span><span><span><span><span><span><span><span><span>The sensitivity of animal photoreceptors to different wavelengths of light strongly influence the perceived visual contrast of objects in the environment. Outside of the human visual wavelength range, ultraviolet sensitivity in many species provides important and behaviourally relevant visual contrast between objects. However, at the opposite end of the spectrum, the potential advantage of red sensitivity remains unclear. We investigated the potential benefit of long wavelength sensitivity by modelling the visual contrast of a wide range of jewel beetle colours against flowers and leaves of their host plants to hypothetical insect visual systems. We find that the presence of a long wavelength sensitive photoreceptor increases estimated colour contrast, particularly of beetles against leaves. Moreover, under our model parameters, a trichromatic visual system with ultraviolet (λ<sub>max</sub> = 355 nm), short (λ<sub>max</sub> = 445 nm) and long (λ<sub>max</sub> = 600 nm) wavelength photoreceptors performed as well as a tetrachromatic visual system, which had an additional medium wavelength photoreceptor (λ<sub>max</sub> = 530 nm). When we varied λ<sub>max</sub> for the long wavelength sensitive receptor in a tetrachromatic system, contrast values between beetles, flowers and leaves were all enhanced with increasing λ<sub>max</sub> from 580 nm to at least 640 nm. These results suggest a potential advantage of red sensitivity in visual discrimination of insect colours against vegetation and highlight the potential adaptive value of long wavelength sensitivity in insects.</span></span></span></span></span></span></span></span></span></span></span></p>
Data and analysis for the manuscript VISUAL NOISE EFFECT ON READING IN THREE DEVELOPMENTAL DISORDERS: ASD, ADHD, AND SLD
<p>These are raw data and their analysis for the manuscript VISUAL NOISE EFFECT ON READING IN THREE DEVELOPMENTAL DISORDERS: ASD, ADHD, AND SLD</p>
Data from: Evolutionary analyses of visual opsin genes in frogs and toads: diversity, duplication, and positive selection
<p>Data from: Evolutionary analyses of visual opsin genes in frogs and toads: diversity, duplication, and positive selection</p>
Data from: Laminar microcircuitry of visual cortex producing attention-associated electric fields
<p>Cognitive operations are widely studied by measuring electric fields through EEG and ECoG. However, despite their widespread use, the neural circuitry giving rise to these signals remains unknown because the functional architecture of cortical columns producing attention-associated electric fields has not been explored. Here, we detail the laminar cortical circuitry underlying an attention-associated electric field measured over posterior regions of the brain in humans and monkeys. First, we identified visual cortical area V4 as one plausible contributor to this attention-associated electric field through inverse modeling of cranial EEG in macaque monkeys performing a visual attention task. Next, we performed laminar neurophysiological recordings on the prelunate gyrus and identified the electric-field-producing dipoles as synaptic activity in distinct cortical layers of area V4. Specifically, activation in the extragranular layers of cortex resulted in the generation of the attention-associated dipole. Feature selectivity of a given cortical column determined the overall contribution to this electric field. Columns selective for the attended feature contributed more to the electric field than columns selective for a different feature. Last, the laminar profile of synaptic activity generated by V4 was sufficient to produce an attention-associated signal measurable outside of the column. These findings suggest that the top-down recipient cortical layers produce an attention-associated electric field that can be measured extracortically with the relative contribution of each column depending upon the underlying functional architecture.</p>
Data for the manuscript "Direct visualization of colloid transport over natural heterogeneous and artificial smooth rock surfaces"
<p>The files contain the data used to produce the figures in the manuscript "<strong>Direct visualization of colloid transport over natural heterogeneous and artificial smooth rock surfaces</strong>" by Borgman, Be'er, and Weisbrod.</p> <p>Included in the data set:</p> <ol> <li>ImageAnalysesAndPlots.m: A MATLAB script to generate the figures from the included images and data files.</li> <li>myCmap.mat: A custom set of colors for the images.</li> <li>LH_btc.csv, LH_b_btc.csv, HH_btc.csv, HH_b_btc.csv: Data for the breakthrough curves.</li> <li>LH_t=360min.czi, HH_t=300min.czi: Final images from the experiments, from which the residual surface fluorescence is calculated.</li> <li>LHSurfTopo.csv, HHSurfTopo.csv: Tables containing the profilometer scan data.</li> <li>LH, HH: Folders containing the images for the colloid displacement front</li> <li>Exp01-Exp04: Images for calculating the dispersion coefficient </li> <li>PlotVelocities2.m: A script for plotting the calculated velocity fields</li> <li>velocity_magnitude_HH_flux_boundary.txt/velocity_magnitude_LH_flux_boundary.txt: The data files for the velocity fields.</li> </ol> <p>For the .czi files, it's necessary to use the Bio-Formats for MATLAB <a href="https://docs.openmicroscopy.org/bio-formats/6.1.0/users/matlab/index.html">package</a>.</p>
data_for_visualization_of_grl_lekima
<p>Data supporting the visualization and the conclusions of Microphysical Characteristics of the Phase-locking VRW-induced Asymmetric Convection in the Outer Eyewall of Super Typhoon Lekima (2019).</p>
Processed data and scripts for visualization of Kotsuki et al. (2022; GMDD)
<p>Processed data and scripts for visualization of Kotsuki et al. (2022; GMDD)</p>
Supporting data for Kealhofer et al., "Controlling and visualizing Dirac physics in topological semimetal heterostructures" (2022)
<p>This repository contains data supporting Kealhofer et al., "Controlling and visualizing Dirac physics in topological semimetal heterostructures" (2022). Please see the corresponding publication for the corresponding author's contact information.</p>
Data from: Visual attention and perception of road safety advertisements with different level of explicitness in Peruvian millennials and centennials
<p>In the face of the massiveness of content, social advertisements must explore the potential of other dimensions to improve their designs. This paper examines the effect of different levels of graphic explicitness on the attention and perception of road safety ads. An eye-tracking experiment was conducted to assess the visual attention of 60 young millennials and centennials on three ads with images of different levels of explicitness. Participants were agrouped into two groups where they watched two road safety ads with negative valence, but with different levels of explicitness in the second ad seen. For the image and text of each ad, metrics of number of fixations, time to first fixation and total fixation time spent were compared. A survey provided qualitative information about the perception and effectiveness of the ads. Significant effects were found when using negative emotional appeals through explicitness to enhance visual attention and audience perception. But, although the image has prominence, textual design should not be neglected to focus the emotional appeal of the ad.</p>
Data used in the paper Automatically Detecting Visual Bugs in HTML5 <canvas> Games
<p>This repository contains the snapshots (i.e., screenshot, <canvas> object representation pairs) and game assets collected from our test <canvas> game for use in the paper <code>Automatically Detecting Visual Bugs in HTML5 <canvas> Games</code>, accepted at ASE 2022.</p> <p>The data in this repository can be used to benchmark new visual bug detection approaches for HTML5 <canvas> games. The source code for our test <canvas> game and our 24 synthetic visual bugs can be found at the following <a href="https://github.com/asgaardlab/canvas-visual-bugs-testbed">link</a>.</p> <p><a href="https://asgaardlab.github.io/canvas-visual-bugs-testbed/">Project page</a><br> <br> <strong>Directory structure</strong></p> <pre> data/ | - assets/ | - exp_0/ | | - a/ | | | - 0.png | | | - 0.json | | | ... | | | - 9.png | | | - 9.json | | ... | | - j/ | - exp_appearance_1 | ... | - exp_state_6 </pre> <p><br> <strong>Data description</strong></p> <table> <tbody> <tr> <td>assets/</td> <td>Source images from the test <canvas> game</td> </tr> <tr> <td>exp_0/</td> <td>Snapshots with no visual bugs injected (okay/non-buggy experiment)</td> </tr> <tr> <td>exp_*_{1,2,3,4,5,6}/</td> <td>Snapshots for each of the injected visual bugs (buggy experiments)</td> </tr> <tr> <td>*/{a,b,c,d,e,f,g,h,i,j}/</td> <td>10 runs of data for each experiment</td> </tr> <tr> <td>*/{0,1,2,3,4,5,6,7,8,9}.png</td> <td>10 snapshots per experiment, each snapshot has a screenshot (png)</td> </tr> <tr> <td>*/{0,1,2,3,4,5,6,7,8,9}.json</td> <td>10 snapshots per experiment, each snapshot has a COR<sup>1</sup> (json)</td> </tr> </tbody> </table> <p><sup>1</sup>COR = <canvas> objects representation</p>
Video Data: Optic flow in the natural habitats of zebrafish supports spatial biases in visual self-motion estimation
<p>Video dataset accompanying "Spatial Biases in Optic-Flow Sampling for Self-Motion Estimation in Natural Environments." See accompanying <a href="https://github.com/eacooper/AlexanderOpticFlow">Github repository</a> for more documentation and analysis code.</p>
Dataset and Jupyter notebook for "pyDARN: A Python Software for Visualizing SuperDARN Radar Data"
<p>SuperDARN radar dataset and Jupyter notebook used to generate figures for "pyDARN: A Python Software for Visualizing SuperDARN Radar Data".</p>
Data from: Consistency in the flight and visual orientation distances of habituated chacma baboons after an observed leopard predation: Do flight initiation distance methods always measure perceived predation risk?
<p>Flight initiation distance (FID) procedures are used to assess the risk perception animals have for threats (e.g., natural predators, hunters) but it is unclear whether these assessments remain meaningful if animals have habituated to certain human stimuli (e.g., researchers, tourists). Our previous work showed that habituated baboons displayed individually distinct and consistent responses to human approaches, a tolerance trait, but it is unknown if the trait is resilient to life-threatening scenarios. If it were consistent, it would imply FIDs might measure specific human threat perception only and not generalise to other threats such as predators when animals have experienced habituation processes. We used FID procedures to compare baseline responses to the visual orientation distance, FID, and individual tolerance estimates assessed after a leopard predation on an adult male baboon (group member). All variables were consistent despite the predation event, suggesting tolerance to observers was largely unaffected by the predation and FID procedures are unlikely to be generalisable to other threats when habituation has occurred. FID approaches could be an important tool for assessing how humans influence animal behaviour across a range of contexts, but careful planning is required to understand the type of stimuli presented.</p>
Raw data: Multifaceted consequences of visual distraction during natural behaviour
<p>Raw data for: </p> <p>Kumle, L., Võ, M. L. H., Nobre, A. C., & Draschkow, D. (2024). Multifaceted consequences of visual distraction during natural behaviour. <em>Communications Psychology</em>, <em>2</em>(1), 49.</p> <p>Preprocessed data can be accessed at<a href="https://osf.io/ze5p3/"> https://osf.io/ze5p3/. </a></p>
Data S4. Visual Assessment Results
<p>This Excel file contains the results of the visual assessment process for randomly selected cells representing sample units in the Mangrove Threat Index validation process.</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.