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13
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ShareScore release 0.9.0
Dataset results
13 results for “eye tracker”
PsPM-AOB: Eye tracker (including pupillometry) measurements from auditory oddball tasks
<p>This dataset includes eye tracker (including pupillometry) measurements from auditory oddball tasks with ITIs of 1, 2, and 3 s (in groups 1, 2, and 3 respectively). Also included are task information, keypress responses, keypress response times and key correctness for each of 66 healthy unmedicated participants (40 females and 26 males aged 24.2+/-3.9 years) participating in auditory oddball tasks. Stimuli consist of sine tones (50-ms length; 10-ms ramp; 440 or 660 Hz).</p>
PsPM-EWO: Eye tracker (including pupillometry) measurements from emotional-words tasks
<p>This dataset includes eye tracker (including pupillometry) measurements for 37 healthy unmedicated participants (25 females and 12 males, age range: 18 - 34 years, mean age: 26.2 +/- 4.7 years) participating in an emotional-words task. In each session, participants were presented with 50 neutral and 50 negative five-letter nouns from the Berlin Affective Word List Reloaded (Võ et al., 2009). Also included are task information, keypress responses, keypress response times.</p>
PsPM-RRM1-2: SCR, ECG, respiration and eye tracker measurements in response to electric stimulation or visual targets
<p>This dataset includes skin conductance response (SCR), electrocardiogram (ECG), respiration and eye tracker (including pupillometry) measurements for each of 29 healthy unmedicated participants (7 males and 22 females aged 23.5 +/- 3.6 years) in response to 10 discomforting electric stimulations to the forearm (RRM1) or 10 visual targets in a visual detection task (RRM2). The sample partly overlaps with data set <a href="https://doi.org/10.5281/zenodo.1292568">PsPM-FR</a>. Some participants did not take part in RRM1 or RRM2 such that there are 25 recordings for RRM1 and 26 recordings for RRM2. Electric shock stimuli are 0.2 ms wide square current pulse repeated at 500 Hz for 500 ms and individually adjusted amplitude just below the pain threshold. Visual stimuli are red crosses (+) embedded in a white digit stream; each stimulus is presented during 200 ms and separated by a 800 ms blank interval. ITI is selected randomly on each trial from 40 s, 45 s or 50 s. A baseline period with distractors but no targets concludes experiment RRM2. (This is in contrast to the methods description in Bach et al. (2016), according to which the baseline period was randomly either in the beginning or at the end of the experiment. This discrepancy was caused by an error in the code that controlled the experiment presentation.)</p>
Scene camera movies from mobile eye tracker
<p>These are the full recorded scene camera scenes. Eye position data for each scene can also be found here as well as an excel file detailing which parts of the clips we used.</p>
PsPM-AOB_UW: Eye tracker (including pupillometry) measurements from an auditory oddball and a luminance task
<p>This dataset includes eye tracker (including pupillometry) measurements from an auditory oddball task with an ITI of 2 s (session 1) and a luminance task in which discs with different shades of grey were presented. Also included are task information, keypress responses, keypress response times and key correctness for the oddball task. Data come from 23 healthy unmedicated female participants aged 41.87 +/- 3.9 years as a control group for a lesion patient with Urbach-Wiethe syndrome. Stimuli consist of sine tones (50-ms length; 10-ms ramp; 440 or 660 Hz).</p>
Quantitative comparison of a mobile and a stationary video-based eye-tracker
<p>Vision represents the most important sense of primates. To understand visual processing, various different methods are employed, e.g. electrophysiology, psychophysics or eye tracking. For the latter, researchers recently began to step outside the artificial environments of laboratory setups towards the more natural conditions we usually face in the real world. This approach was enabled by sophisticated video-based mobile eye-trackers. Yet, their mobility and light weight often comes at an expense of reduced performance and accuracy, compared to the stationary eye-trackers, which nowadays are considered a gold standard in vision science.</p> <p>In order to get a better understanding of the advantages and limitations of both eye-tracking techniques, we quantitatively compared one of the most advanced mobile eye-trackers available, the EyeSeeCam (ESC, sampling at 230 Hz), with a commonly used laboratory eye-tracker, the EyeLink II (ELII, sampling at 500 Hz). We aimed to investigate whether or not fully mobile eye-trackers are capable of providing adequate data to allow for a direct comparison with data recorded with stationary eye-trackers. Therefore, we recorded three different, commonly used eye movements, i.e. fixation, saccades and smooth pursuit eye movements, with both eye trackers in successive standardized paradigms in a laboratory setting with eight human subjects.</p> <p>Despite major technical differences, the values of most eye movement parameters were not statistically different between both systems. Differences could only be found in overall gaze accuracy and for time critical parameters like saccade duration, for which a higher sample frequency is especially useful. Although, the stationary ELII system proved to be superior, especially at a single subject or even at a single trial basis, the ESC showed a similar performance for averaged parameters across trials and subjects. We conclude that modern high-performance mobile eye-trackers are well suited to provide reliable oculomotor data at the required spatial and temporal resolution.</p> <p>Here we provide the raw data recorded with both eye trackers in eights human subjects in the three different, commonly used, oculomotor tasks.</p>
Reproducibility of Retinal Nerve Fiber Layer Thickness Measurements Using the Eye Tracker and Retest Function of Spectralis® SD-OCT in Glaucomatous Eyes and Healthy Controls
ClinicalTrials.gov study NCT01228721. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Attentional Bias Modification Through Eye-tracker Methodology (ABMET)
ClinicalTrials.gov study NCT02847793. IPD Sharing: NO. Countries: 1. Publications: 8.
Detection of Cannabis Impairment With an Eye Tracker
ClinicalTrials.gov study NCT03813602. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
EYE-Mobile TRACKer IN the Diagnosis of Minimal Hepatic Encephalopathy
ClinicalTrials.gov study NCT03732118. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Developing and Examining the Effectiveness of an Eye Tracker for Simulation Training
ClinicalTrials.gov study NCT05283772. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Collection of Digital Parameters From Parts of the Neurological Examination Using an Eye Tracker
ClinicalTrials.gov study NCT07141719. IPD Sharing: NO. Countries: 1. Publications: 0.
Orthoptic Rehabilitation for Low Vision People With Innovative Mechanisms (Eye Tracker and Tactile Device)
ClinicalTrials.gov study NCT03353727. IPD Sharing: Not stated. Countries: 1. 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.
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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.