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datasets available to search
ShareScore release 0.9.0
Dataset results
28 results for “Natural scenes”
Brain Bases of Natural Scenes's Visual Perception of Natural Scenes
ClinicalTrials.gov study NCT02840305. IPD Sharing: Not stated. Countries: 1. Publications: 29.
Data from: Zebrafish differentially process colour across visual space to match natural scenes
Open the record for dataset details and reuse information.
Data from: Asymmetric ON-OFF processing of visual motion cancels variability induced by the structure of natural scenes
Open the record for dataset details and reuse information.
Dataset supplementing Einhäuser, W., Atzert, C., & Nuthmann, A. (2020). Fixation durations in natural scene viewing are guided by peripheral scene content. Journal of Vision.
<p>These files supplement the publication</p> <p>Einhäuser, W., Atzert, C., & Nuthmann, A. (2020). Fixation durations in natural scene viewing are guided by peripheral scene content. Journal of Vision.</p> <p><br> The files fixationsByImg_Exp1.mat, fixationsByImg_Exp2.mat and saccadesByImage_Exp2.mat are Matlab (The MathWorks, Inc.) data files that contain the data as described below. To exemplify their usage, the functions figure2.m through figure5.m output the paper’s data figures. All functions were tested using Matlab version 9.6.0 (R2019a) on Windows 10 and on Ubuntu 14.04.</p> <p>All files can be used free of charge for scientific purposes, provided the aforementioned publication is appropriately cited.</p> <p><br> fixations_Exp1.mat contains the variables describing each fixation of experiment 1</p> <p>dFixByImAndCon - fixation duration in ms<br> tFixByImAndCon - start time of fixation relative to image onset in ms<br> xFixByImAndCon - x position on the screen<br> yFixByImAndCon - y position on the screen</p> <p>Notes:<br> - All variables have the dimensions subject (20) x image (60) x colorCondition (2 - grayscale/color) x contrastCondition (5) x fixation number in trial (50).<br> - dFixByImAndCon(:,:,:,:,1), etc. denotes the first fixation _ending_ after image onset, so tFixByImAndCon(:,:,:,:,1) will be negative.<br> - missing data are filled by NaN<br> - x,y position is relative to the screen (1920x1080), not relative to the image, which was presented in the screen center</p> <p> </p> <p>fixations_Exp2.mat contains the variables describing each fixation of experiment 2</p> <p>dFixByImAndCon - fixation duration in ms<br> tFixByImAndCon - start time of fixation relative to image onset in ms<br> xFixByImAndCon - x position on the screen<br> yFixByImAndCon - y position on the screen<br> isModByImAndCon - fixation on unmodified (0) or isoluminant (1) patches<br> transByImAndCon - codes type of transition<br> patch n -> patch n+1<br> unmodified -> unmodified 00 (0)<br> unmodified -> isoluminant 01 (1)<br> isoluminant -> unmodified 10 (10)<br> isoluminant -> isoluminant 11 (11)</p> <p>Notes:<br> - All variables have the dimensions subject (20) x image (60) x condition (4 - unmodied, isoluminant, center-isoluminant, center-unmodified) x fixation number in trial (50).<br> - isModByImAndCon is 1 if the fixated region is isoluminant, and 0 if unmodified, nan for fixations outside the image.<br> - otherwise notation as in fixations_Exp1.mat</p> <p><br> saccades_Exp2.mat contains the variables describing each saccade of experiment 2</p> <p>xFromByImAndCon / yFromByImAndCon - saccade starting coordinate<br> xToByImAndCon / yToByImAndCon - saccade starting coordinate</p> <p>Notes:<br> - variable dimensions as in fixations_Exp2.mat<br> - coordinates refer to screen (1920x1080), not to image</p> <p> </p> <p> </p>
Context-dependent selectivity to natural scenes in the retina
<p>Here a sample dataset to replicate the study published in https://www.biorxiv.org/content/10.1101/2021.10.01.462157v1</p>
Maximum a posteriori natural scene reconstruction from retinal ganglion cells with deep denoiser priors
<p>Dataset for Maximum a posteriori natural scene reconstruction from retinal ganglion cells with deep denoiser priors<br> <br> Authors left anonymous for double-blind review</p>
Eye Movement Behaviour and Pupil Size in Natural Outdoor and Indoor Scenes
ClinicalTrials.gov study NCT05971238. IPD Sharing: YES. Countries: 1. Publications: 0.
Perception of Objects and Natural Scenes in People With Vision Loss (ACTIVIS)
ClinicalTrials.gov study NCT02862405. IPD Sharing: NO. Countries: 0. Publications: 0.
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.