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Dataset results
83 results for “visual processing”
Assessing Visual Processing in High Anxiety
ClinicalTrials.gov study NCT04187326. IPD Sharing: NO. Countries: 1. Publications: 0.
The Impact of Familiarity and Emotional Attachment on the Visual Processing of Faces
ClinicalTrials.gov study NCT00001913. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Role of the Brain in Processing Visually Presented Objects
ClinicalTrials.gov study NCT00357695. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Visual Information Processing in Schizophrenia Patients With Visual Hallucinations
ClinicalTrials.gov study NCT03188133. IPD Sharing: NO. Countries: 0. Publications: 4.
Data from: The effect of static versus dynamic stimuli on visual processing of sexual cues in androphilic women and gynephilic men
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Data from: Luminance-dependent visual processing enables moth flight in low light
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Data from: Do perceptual biases emerge early or late in visual processing? Decision-biases in motion perception
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Data from: Perceived duration of brief visual events is mediated by timing mechanisms at the global stages of visual processing
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Data from Schmitt et al. 2018: Preattentive and Predictive Processing of Visual Motion
<p><strong>Dataset associated with the following publication:</strong></p> <p>Schmitt C, Klingenhoefer S, Bremmer F. Preattentive and Predictive Processing of Visual Motion. <em>Sci Rep</em>. 2018;8(1):12399. Published 2018 Aug 17. doi:10.1038/s41598-018-30832-9</p> <p><strong>Description of dataset:</strong></p> <p>The dataset contains preprocessed EEG data recorded from the 15 electrodes (Cz, Fz, FCz, FC1, FC2, F3, F4, FC5, FC6, P3, P4, P7, P8, PO3, PO4) used for analysis in our paper. Data containing eye movements, blinks or a movement response of the participants were removed. As a reference the average signal of the mastoid electrodes TP9 and TP10 was used.</p> <p>In a first preporcessing step data were low pass filtered with a cut-off frequency of 70 Hz and additionally a Notch filter at 50 Hz was applied. In a second step data were aligned to the (re)appearance of the moving target next to the central occluder and cut into 850 ms long epochs ranging from 200 ms before this (re)appearance to 650 ms after this time point. The average signal from a 50 ms long time window starting 50 ms before the (re)appearance was used for a baseline correction of each epoch before epochs were averaged separately for subjects and conditions as a last preprocessing step. </p> <p>Each uploaded file contains data of all 8 participants and all 15 electrodes separately for the four different conditions: 1) target movement to the right in complete trajectory trails (data_movedirR_complete_trajectory.mat); 2) target movement to the left in complete trajectory trails (data_movedirL_complete_trajectory.mat); 3) target movement to the right in half trajectory trails (data_movedirR_half_trajectory.mat); 4) target movement to the left in half trajectory trails (data_movedirL_half_trajectory.mat).</p> <p>Each file contains 30 matrices for the half trajectory conditions and 60 matrices for the complete trajectory conditions. Each matrix presents the data recorded at one electrode, for one type of trial (standard "AllS", deviant "AllD" or half trajectory "AllH") and one attention condition (attention to the fixation target, central "1" and attention to the moving target, peripheral "2"). Example: "P3_AllD_1"</p> <p>Each matrix consists of 8 lines representing the 8 participants. Data for the relevant condition was averaged for each participant and is presented in a separate line. The matrices consist of 850 columns representing the length of the presented recording time of 850 ms. Data from 200 ms before to 650 ms after the (re)appearance of the moving target is presented. The uploaded matrices contain values in µV.</p>
Visualization of the process of lightning initiation in a thundercloud
<p>This movie visualizes the evolution of 3D streamer / hot-channel systems at 6.5 km altitude in a uniform upward directed electric field, whose magnitude is equal to 70 kV/m. Low-conductivity channels of positive and negative polarity are shown in green and gray, respectively. Channel segments with conductivities higher than 1 S/m (assumed to be “hot”) are shown in red. All three axes are labeled in meters.</p>
MPM-CFD entrainment: Processed data and visualization
<p>Data supporting "The role of dilatancy and permeability of wet bed sediments eroded by a granular flow on erosion and runout: Two-phase MPM–CFD simulations". Content:</p> <p>- The <strong>full simulation results</strong> cannot be included as a supplementary material as the files are too large. However, we include the input files, which can be run with the MPM–CFD code (https://github.com/QuocAnh90/Uintah_NTNU/tree/1.0). We also include the processed data from the simulations, which can be used for visualization. </p> <p>- <strong>Processed data</strong> from the MPM–CFD simulations (particles positions and displacements, pore pressure).</p> <p> Each simulation is named with a code. For instance:</p> <ul> <li>dry / wes: dry or wet simulation</li> <li>30: indicates the effective friction angle</li> <li>k-3: -3 is the Log of the D_p parameter</li> <li>Name: data type of the particles: <ul> <li>particlesX: position</li> <li>particlesDispl: displacement</li> <li>particlespwp: pore pressure (absolute value, including "atmospheric pressure"), corrected with a default value of p_atm=101325 Pa</li> <li>particleStress: effective stress tensor</li> <li>pressCC: pore pressure (absolute value, including "atmospheric pressure"</li> </ul> </li> <li>m: material: 1=flow; 2=bed; 0=any material</li> <li>t= (time(s)+1) * 10</li> </ul> <p>- <strong>Matlab files</strong> to process the data and create the figures.</p> <ul> <li>The code Erosion_runout.m serves to plot flow and particle displacements and to calculate the flow runout and erosion volume</li> <li>The code pwp.m serves to plot pore pressure ratio and calculate the median pore pressure ratio</li> <li>The code pwp_evolution.m served to plot the time evolution of the median value of the pore pressure ratio</li> </ul> <p> </p> <p> </p>
Process-oriented and Outcome-oriented Visual Assessments
ClinicalTrials.gov study NCT03908398. IPD Sharing: NO. Countries: 1. Publications: 0.
Visual Processing Speed and Objective Analysis of Ocular Movements in Multiple Sclerosis
ClinicalTrials.gov study NCT05706220. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Visual Management for the Radiotherapy Process
ClinicalTrials.gov study NCT01854541. IPD Sharing: Not stated. Countries: 1. Publications: 0.
SSVEP and Distractor Processing During Visual Search
ClinicalTrials.gov study NCT05633238. IPD Sharing: YES. Countries: 1. Publications: 0.
An Investigation of Attentional and Inhibitory Processes During Active Visual Search in Humans
ClinicalTrials.gov study NCT06587113. IPD Sharing: YES. Countries: 1. Publications: 0.
Visualization Engineering Platform for Pulse Diagnosis of Traditional Chinese Medicine-The Research of Similar Moiré Feature Analyzing Approach Based on Recurrent Neural Network to Process the Measure
ClinicalTrials.gov study NCT04661605. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Central Nervous Processing of Visual Food Stimuli in Severely Obese Subjects
ClinicalTrials.gov study NCT01493583. IPD Sharing: Not stated. Countries: 1. Publications: 0.
The Neural Bases of Early Visual and Auditory Processing and Emotion Recognition Deficits in Schizophrenia
ClinicalTrials.gov study NCT02588014. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Understanding Visual Processing After Occipital Stroke
ClinicalTrials.gov study NCT06352086. IPD Sharing: Not stated. Countries: 0. Publications: 0.
ScienceDex guides
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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.