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121 results for “Visual Field”

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OpenNeuro52/100

High-field 7T Visual fMRI Datasets

Open the record for dataset details and reuse information.

openCC0Jan 2020View details →
zenodo44/100

Data to "Point-wise correlations between 10-2 Humphrey visual field and OCT data in open angle glaucoma"

<p>This record contains experimental and analysis scripts (written in Matlab)&nbsp;as well as raw and processed data to reproduce the results shown in:</p> <p>Cirafici, P., Maiello, G., Ancona, C., Masala, A., Traverso, C.E., &amp; Iester M. (in press) Point-wise correlations between Humphrey visual field and OCT data in open angle glaucoma. Eye</p>

opencc-by-4.0May 2020View details →
zenodo44/100

Data on eye movements of glaucoma patients with asymmetrical visual field loss during free viewing.

<p>Raw eye tracking data and processed eye movement data were recorded from fifteen participants with assymmetrical visual field loss (visual field worse in one eye) while they freely viewed 270 images of nature with each eye monocularly.</p>

opencc-by-4.0Mar 2023View details →
zenodo44/100

Data to: "Despite impaired binocular function, binocular disparity integration across the visual field is spared in normal aging and glaucoma"

<p>This record contains experimental and analysis scripts (written in Matlab)&nbsp;as well as raw and processed data to reproduce the results shown in:</p> <p>Maiello G., &amp; Kwon, M.&nbsp;(in press) Despite impaired binocular function, binocular disparity integration across the visual field is spared in normal aging and glaucoma. IOVS</p> <p>A preprint version of the manuscript is available at: https://doi.org/10.1101/2022.11.28.518250</p>

opencc-by-4.0Apr 2023View details →
zenodo40/100

Research Data: Facial Expression Recognition under Visual Field Restriction

<p>This dataset contains the following files:</p> <p><strong>-</strong> <strong>view_trial.xlsx:</strong> Excel spreadsheet containing data from individual trials.<br><strong>-</strong> <strong>view_participant.xlsx:</strong> Excel spreadsheet containing data aggregated at the participant level.<br><strong>- consensus.xlsx:</strong> Excel spreadsheet containing consensus data analysis.<br><strong>- image_id_list.txt:</strong> Text file listing the IDs of the images used in the study from The Karolinska Directed Emotional Faces (KDEF); https://kdef.se/.</p> <p>These files provide comprehensive data used in the research project titled "Exploring the Visual Field Restriction in the Recognition of Basic Facial Expressions: A Combined Eye Tracking and Gaze Contingency Study" conducted by M. B. Urtado, R. D. Rodrigues, and S. S. Fukusima. The dataset is intended for analysis and replication of the study's findings.</p> <p>Please, when using these data, we kindly request citing the following article:<br>Urtado, M.B.; Rodrigues, R.D.; Fukusima, S.S.&nbsp;<strong>Visual Field Restriction in the Recognition of Basic Facial Expressions: A Combined Eye Tracking and Gaze Contingency Study</strong>.&nbsp;<em>Behavioral Sciences</em> <strong>2024</strong>,&nbsp;<em>14</em>, 355. <a href="https://doi.org/10.3390/bs14050355">https://doi.org/10.3390/bs14050355</a></p> <p>The study was approved by the Research Ethics Committee (CEP) of the University of S&atilde;o Paulo (protocol code 41844720.5.0000.5407).&nbsp;</p>

opencc-by-4.0Feb 2024View details →
dryad40/100

Data from: Texas field crickets (Gryllus texensis) use visual cues to place learn but perform poorly when intra- and extra-maze cues conflict

<p>Central place foraging field crickets are an ideal system for studying the adaptive value of learning and memory, but more research is needed on ecology-relevant cognition in these invertebrates. Here, we test the visuospatial place learning of Texas field crickets (<em>Gryllus texensis</em>) in a radial arm maze. Our study expands previous work on <em>G. texensis</em> cognition for accuracy measures and extends our previous findings on females to both sexes. Additionally, our study examines whether crickets use intra- or extra-maze cues to locate a food reward using a maze rotation putting the cues in conflict. We found that male and female crickets improved performance over trials when measured by accuracy variables but not latency variables; thigmotaxis negatively impacted performance in both sexes. In a reward-absent trial, both male and female crickets demonstrated place memory. When intra- and extra-maze cues conflicted during a rotation trial, crickets' performance was not better than chance. Our rotation results suggest that crickets may experience reciprocal overshadowing of conflicting cues – a result most often seen in other taxa with conflicting multi-modal cues. We conclude that crickets do not rely solely on: (1) a single-cue association; (2) route-following; or (3) their own scent cues to navigate the maze. Instead, male and female Texas field crickets seem to learn the location of the reward using a combination of proximal and distal cues. The possibility to test large numbers of wild-caught or laboratory-reared individuals opens the door to future investigations on the evolutionary ecology of visuospatial learning in these invertebrates.</p>

opencc-zeroMay 2022View details →
zenodo40/100

Figure 3. (Top): Illustration of the therapy selection main menu. This enables the user to select one of three options for the therapy. Stimuli sequence selectors; (Bottom): (a) Short distance – complete visual field; (b) Short distance – macular; (c) Middle-long distance.-Design of a Novel Servo-motorized Laser Device for Visual Pathways Diseases Therapy

<p>distance therapies for the prescribed time suggested by the ophthalmologist.<br> Note that the complete visual field therapy stimulates different parts in the entire visual field<br> whereas macular therapy stimulate only a small part of the visual field, only the first 10&deg; of vision<br> range. In contrast, middle-long distance therapies are not developed inside the device; instead the<br> patient must sit watching a wall, where the stimuli will be presented. Figure 3 (Bottom) shows the<br> sequence selectors for the three different cases. The therapist will choose a desired number of<br> sequences according to the results of the examination to each patient; hence it is completely patient<br> dependent.<br> Once the therapist finishes the particular design of the stimuli sequence, the software<br> automatically displays a window where he can save the customized patient-specific details for future<br> use as a text file.</p>

opencc-by-4.0Aug 2015View details →
zenodo40/100

RoboFinch: a versatile audio-visual synchronized robotic bird model for laboratory and field research on songbirds

<p>Raw data and R script for the behavioral data published in the Journal Methods in Ecology and Evolution with the title: RoboFinch: a versatile audio-visual synchronized robotic bird model for laboratory and field research on songbirds</p> <p>All data and source files for the RoboFinch construction can be found here:&nbsp; https://doi.org/10.5281/zenodo.7520589</p> <p>&nbsp;</p>

opencc-by-4.0Jan 2023View details →
dryad40/100

Data from: Texas field crickets (Gryllus texensis) use visual cues to place learn but perform poorly when intra- and extra-maze cues conflict

Open the record for dataset details and reuse information.

publicJun 2022View details →
zenodo36/100

Data to "Near-optimal combination of disparity across a log-polar scaled visual field"

<p>This record contains experimental and analysis scripts (written in Matlab)&nbsp;as well as raw and processed data to reproduce the results shown in:</p> <p>Maiello, G., Chessa, M., Bex, P. J., &amp; Solari, F. (2020) Near-optimal combination of disparity across a log-polar scaled visual field. <em>PLOS Computational Biology,&nbsp;16</em>(4), e1007699.&nbsp;<a href="https://doi.org/10.1371/journal.pcbi.1007699">https://doi.org/10.1371/journal.pcbi.1007699</a></p>

opencc-by-4.0Feb 2020View details →
dryad36/100

Supporting information for: Discrimination ability of central visual field testing using stimulus size I, II, and III and relationship with macular ganglion cell thickness in chiasmal compression

<p><strong>Purpose</strong><strong>: </strong>To compare the relationship between macular ganglion cell layer (mGCL) thickness and 10-2 visual field (VF) sensitivity using different stimulus sizes in patients with temporal hemianopia from chiasmal compression.</p> <p><strong>Methods:</strong><strong> </strong>A cross-sectional study was conducted involving 30 eyes from 25 patients with temporal VF loss on 24-2 SITA standard automated perimetry due to previous chiasmal compression and 30 healthy eyes (23 controls). Optical coherence tomography (OCT) of the macular area and 10-2 VF testing using Goldmann stimulus size I (GI), II (GII), and III (GIII) were performed in the Octopus 900 perimeter. For the sake of analysis, mGCL thickness and VF data were segregated into four quadrants (two temporal and two nasal) and two halves (temporal and nasal) centered on the fovea, and the groups were compared using generalized estimated equations. The discrimination ability of GI, GII, and GIII was evaluated, as was the correlation between mGCL and 10-2 VF sensitivity using GI, GII, and GIII. </p> <p><strong>Results:</strong><strong> </strong>All mGCL parameters were significantly reduced in patients compared to controls. 10-2 VF test sensitivity using GI, GII, and GIII was significantly lower in patients than in controls (p≤0.008) for all parameters, except the three nasal divisions when using GI (p=0.41, 0.07 and 0.18) Significant correlations were found between temporal VF sectors (all stimulus sizes) and the corresponding nasal mGCL measurements, with similar discrimination ability. Significant correlations were also observed between all three nasal VF divisions and the corresponding temporal mGCL thickness when using stimulus sizes I and II, but not stimulus size III.</p> <p><strong>Conclusions</strong><strong>:</strong> On 10-2 VF testing, GII outperformed GI and GIII with regard to discrimination ability and structure-function correlation with mGCL thickness in chiasmal compression. Our findings suggest that the use of GII can enhance the diagnostic power of 10-2 VF testing, although further studies are necessary to support this conclusion.</p>

opencc-zeroJan 2024View details →
zenodo36/100

Visualization of electric field distribution inside streamer zones of positive and negative lightning leaders

<p>This online storage contains numerous 3D visualizations of streamer coronas of positive and negative lightning leaders (figures named &ldquo;3D&rdquo;) along with 2D distributions of electric field inside and at the close vicinity of their streamer zones (figures named &ldquo;2D&rdquo;).</p> <p>In 3D figures yellow links are streamer channels growing from the leader tip (short red link). Solid red areas denote the volumes inside which electric field amplitude exceeds the air breakdown threshold amounting 2.9 MV/m at the considered altitude of 1 km above the mean sea level. Values in legends of each panel are (from left to right) percentage of horizontal links, streamer zone fractal dimension, leader channel sheath line charge density, and the maximal value of local electric field.</p> <p>2D figures present electric field distributions inside and at the close vicinity of streamer zones of positive and negative lightning leaders in x-z and y-z planes for the cases presented in Figs. &ldquo;3D&rdquo;. Upper panels visualize vector fields superimposed on equipotential lines. Bottom panels show electric field amplitudes. Dotted lines denote streamer corona borders in corresponding planes.</p> <p>In model realizations the vast majority of streamer zones of positive leaders does not have the areas with electric field exceeding the dielectric strength of air. However, only &ldquo;successful&rdquo; cases, in which the amplitudes of local electric field amplifications were bigger than 2.9 MV/m, are shown here.</p>

opencc-by-4.0May 2023View details →
ClinicalTrials.gov36/100

visuALL Field Analyzer (vFA) Compared to Standard Humphrey Automated Perimetry

ClinicalTrials.gov study NCT03804684. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov36/100

Persistence of Glaucoma Patients With Web-Browser-Based Visual Field Test

ClinicalTrials.gov study NCT05690152. IPD Sharing: NO. Countries: 1. Publications: 4.

closedIPD-NOFeb 2026View details →
dryad36/100

Supporting information for: Discrimination ability of central visual field testing using stimulus size I, II, and III and relationship with macular ganglion cell thickness in chiasmal compression

Open the record for dataset details and reuse information.

publicJan 2024View details →
dryad32/100

Supplementary data for "Visual cues of predation risk outweigh acoustic cues: a field experiment in black-capped chickadees"

<p>All data required for the analyses, including R code, presented in the paper "Visual cues of predation risk outweigh acoustic cues: a field experiment in black-capped chickadees" DOI: 10.1098/rspb.2020.2002</p>

opencc-zeroSep 2020View details →
dryad32/100

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>

opencc-zeroFeb 2022View details →
zenodo32/100

Heterogeneous orientation tuning in primary visual cortex of mice diverges from Gabor-like receptive fields in primates

<div> <h2>Data for the Fu et al. (2024) article: 'Heterogeneous orientation tuning in primary visual cortex of mice diverges from Gabor-like receptive fields in primates'</h2> <p>&nbsp;</p> </div> <div> <h3>Summary</h3> </div> <p>Here we provide the complete data for the article Fu et al., 2024 'Heterogeneous orientation tuning in primary visual cortex of mice diverges from Gabor-like receptive fields in primates': include link.</p> <p>The mouse datasets consists of X individual datasets (i.e. recording scans) of calcium activity of L2/3 and L4 neurons in mouse V1. All datasets were acquired using two-photon imaging of awake, head-fixed mice.</p> <p>The monkey dataset has already been published <a href="https://figshare.com/collections/Monkey_V1_and_V4_single-cell_responses_to_natural_images_ephys_Data_from_Cadena_et_al_2024_/6658331/2">here</a>.</p> <div> <h3>Repository structure</h3> </div> <p>The datasets are divided into different experimental paradigms.</p> <p><strong>Imagenet scans</strong> (starting with "static*.zip": contain the neuronal activity in response to grayscale naturalistic images. We used these scans for training deep convolutional neural networks to learn an <em>in-silico</em> model of the recorded neuronal population and to optimize MEIs as well as optimal Gabors. The file "ImageNet_Data_Structure.md" contains detailed information about the content of the files.</p> <p><strong>Dotmap and orientation scans </strong>("dataset_*.pkl"): These scans include two types of stimuli: 1) A sparse noise paradigm for mapping receptive fields of visual neurons. 2) Small patches of drifting gratings to study the orientation tuning selectivity at sub receptive field scale of mouse V1 neurons. The file "RFMapping_Orientation_Data_Structure.md" contains information about the content of the files.</p> <div> <h3>Related Repositories</h3> </div> <p>We used the following Github repositories for analysis, which are all publicly available:</p> <ul> <li>Processing of the calcium data: <a href="https://github.com/cajal/pipeline">https://github.com/cajal/pipeline</a></li> <li>Model training of mouse datasets: <a href="https://github.com/sinzlab/nnidentify">https://github.com/sinzlab/nnidentify</a></li> <li>MEI optimization: <a href="https://github.com/sinzlab/mei/tree/inception_loop">https://github.com/sinzlab/mei/tree/inception_loop</a></li> <li>Gabor optimization: <a href="https://github.com/mohammadbashiri/fitgabor">https://github.com/mohammadbashiri/fitgabor</a></li> </ul>

opencc-by-4.0Jul 2024View details →
zenodo32/100

Differences in visual-field sensitivity in the inferior hemifield between the eyes affect three-dimensional shape perception in glaucoma

<p><strong>Raw data repository for the article:</strong></p> <p>&nbsp;</p> <p><strong>Differences in visual-field sensitivity in the inferior hemifield between the eyes affect three-dimensional shape perception in glaucoma</strong></p> <p>&nbsp;</p> <p><strong>Hiromasa Sawamura<sup>1</sup>, Ryo Asaoka<sup>1,2,3,4,5</sup>, Hiroshi Murata<sup>1</sup>, Eriko Ando<sup>1</sup>, C&eacute;line R. Gillebert<sup>6</sup>, James T. Todd<sup>7</sup>, Guy A. Orban<sup>8</sup></strong></p> <p>&nbsp;</p> <p><sup>1</sup> Department of Ophthalmology, University of Tokyo Graduate School of Medicine, Tokyo, Japan.</p> <p><sup>2</sup> Department of Ophthalmology, Seirei Hamamatsu General Hospital, Hamamatsu, Shizuoka, Japan.</p> <ol> <li>Seirei Christopher University, Hamamatsu, Shizuoka, Japan.</li> </ol> <p><sup>4</sup>&nbsp; Nanovision Research Division, Research Institute of Electronics, Shizuoka University, Shizuoka Japan.</p> <p><sup>5</sup>&nbsp; The Graduate School for the Creation of New Photonics Industries, Shizuoka Japan.</p> <ol> <li>Department of Brain and Cognition, KU Leuven, Leuven, Belgium.</li> <li>Department of Psychology, The Ohio State University, Columbus, OH, USA.</li> <li>Department of Medicine and Surgery, Neuroscience Unit, University of Parma, Parma, Italy.</li> </ol> <p>&nbsp;</p> <p>Excel data:</p> <p>Binocular Visual-filed sensitivity for 20 subjects: BinocularHFAData.xlsx</p> <p>Visual filed sensitivity in the right eye: OD_HFA_data.xlsx&nbsp;</p> <p>Visual filed sensitivity in the left&nbsp;eye: OS_HFA_data.xlsx</p> <p>Error-in-depth for 20 subjects: ErrorinDepth_20subj.xlsx</p> <p>Results of Simple feature discrimination:&nbsp;Result_SinpleFeatureDiscrimination.xlsx</p>

opencc-by-4.0Dec 2022View details →
ClinicalTrials.gov32/100

Ongoing Effect of Expansion Prisms Following the Discontinuation of Use on Visual Field Enlargement and Retrograde Ganglion Cell Degeneration in Homonymous Hemianopia Patients

ClinicalTrials.gov study NCT06674369. IPD Sharing: YES. Countries: 1. Publications: 1.

controlledIPD-YESFeb 2026View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record