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3,905 results for “eye”
Investigating Visual Perception Impairments through Serious Games and Eye Tracking to Anticipate Handwriting Difficulties - DATASET
<p>In the present dataset, each row represents a subject. For each subject, there are</p> <ul> <li>the ID</li> <li>the gender</li> <li>the class</li> <li>the results in the BVSCO-2 test</li> <li>their position over or under the BVSCO-2 threshold ("prove sopra soglia" represents the number of exercises in which the subject was over the thresold, and "sopra soglia generale" is 1 when a subject is over the threshold in all of the exercises, and 0 otherwise)</li> <li>the features extracted from the game described in the article (times and errors)</li> <li>the features extracted from the data produced by drawing with the Apple Pencil</li> <li>the features extracted from the eye tracker. </li> </ul>
Supplementary Material - All Eyes on Traceability
<p>This PDF presents the interview questions used for the semi-structured interview of the paper "All Eyes on Traceability: An Interview Study on Industry Practices and Eye Tracking Potential".</p>
Highly variable (no clear pattern). All portions of the dorsal views were equally used. In head images the area around the eye, the top of the head, the snout and the throat were all used in similar proportions. P. carbonelli Variable for both views. Snout and middle of the dorsum used in dorsal view. Top of the head most frequently (but not strictly) used in lateral view. P. guadarramae Whole body used for dorsal view (but variable); either throat (most common) or ear region used in head lateral views. P. hispanicus Variable. Anterior portion of snout used more frequently than in other species for both dorsal and head lateral views. P. liolepis Highly variable. Whole body used in most dorsal images, area around the eye and throat used in head lateral views, but other patterns common. P. lusitanicus Highly variable. All parts of the dorsum used (but frequently the most posterior part); area around the ear frequently used in head lateral images. P. tunesiacus Highly variable. Dorsal area near the insertion of the posterior limbs used more frequently than in other species; different regions of the head used, often simultaneously. P. Ʋaucheri Highly variable. Different regions of dorsum (from head to the posterior region) used in dorsal images, all portions of the head, but most frequently the throat, used in lateral images. P. Ʋirescens Highly variable. All parts of both images used. Head and anterior part of the dorsum more used than in other species. in Identification of morphologically cryptic species with computer vision models: wall lizards (Squamata: Lacertidae: Podarcis) as a case study
Highly variable (no clear pattern). All portions of the dorsal views were equally used. In head images the area around the eye, the top of the head, the snout and the throat were all used in similar proportions. P. carbonelli Variable for both views. Snout and middle of the dorsum used in dorsal view. Top of the head most frequently (but not strictly) used in lateral view. P. guadarramae Whole body used for dorsal view (but variable); either throat (most common) or ear region used in head lateral views. P. hispanicus Variable. Anterior portion of snout used more frequently than in other species for both dorsal and head lateral views. P. liolepis Highly variable. Whole body used in most dorsal images, area around the eye and throat used in head lateral views, but other patterns common. P. lusitanicus Highly variable. All parts of the dorsum used (but frequently the most posterior part); area around the ear frequently used in head lateral images. P. tunesiacus Highly variable. Dorsal area near the insertion of the posterior limbs used more frequently than in other species; different regions of the head used, often simultaneously. P. Ʋaucheri Highly variable. Different regions of dorsum (from head to the posterior region) used in dorsal images, all portions of the head, but most frequently the throat, used in lateral images. P. Ʋirescens Highly variable. All parts of both images used. Head and anterior part of the dorsum more used than in other species.
Highly variable. Mid-portion of the dorsum used frequently (although other areas as well). Tip of the snout used often, but area around the ear and throat are also relevant. P. carbonelli Variable. In the dorsal view, the tip of the snout is frequently used. In the head lateral view, the tip of the snout is also com- monly used, as well as the most posterior region of the head. P. guadarramae Variable. Mid portion of the dorsum and tip of the snout are the regions used more frequently in dorsal and head lateral views, respectively. P. hispanicus Variable. The head and most anterior part of the dorsum are frequently used in the dorsal view. Snout and/or top of posterior region of head used. P. liolepis Variable. Different parts of the dorsum are used, whereas the tip of the snout is used in most head lateral images. P. lusitanicus Anterior dorsum, in the dorsal view, and both snout and posterior side of the head (in head lateral views) frequently used. P. tunesiacus Variable. Tip of the snout and posterior part of the trunk more used than in other species; snout and top head region behind the eye used with some frequency. P. Ʋaucheri Highly variable. All parts of the dorsum used in dorsal images, various parts of the head (but frequently snout and throat combined) used in head lateral images. P. Ʋirescens Highly variable. All portions of the dorsum used in dorsal images, region around and behind the ear more used than in other species for head lateral images. in Identification of morphologically cryptic species with computer vision models: wall lizards (Squamata: Lacertidae: Podarcis) as a case study
Highly variable. Mid-portion of the dorsum used frequently (although other areas as well). Tip of the snout used often, but area around the ear and throat are also relevant. P. carbonelli Variable. In the dorsal view, the tip of the snout is frequently used. In the head lateral view, the tip of the snout is also com- monly used, as well as the most posterior region of the head. P. guadarramae Variable. Mid portion of the dorsum and tip of the snout are the regions used more frequently in dorsal and head lateral views, respectively. P. hispanicus Variable. The head and most anterior part of the dorsum are frequently used in the dorsal view. Snout and/or top of posterior region of head used. P. liolepis Variable. Different parts of the dorsum are used, whereas the tip of the snout is used in most head lateral images. P. lusitanicus Anterior dorsum, in the dorsal view, and both snout and posterior side of the head (in head lateral views) frequently used. P. tunesiacus Variable. Tip of the snout and posterior part of the trunk more used than in other species; snout and top head region behind the eye used with some frequency. P. Ʋaucheri Highly variable. All parts of the dorsum used in dorsal images, various parts of the head (but frequently snout and throat combined) used in head lateral images. P. Ʋirescens Highly variable. All portions of the dorsum used in dorsal images, region around and behind the ear more used than in other species for head lateral images.
Assessing Code Readability in Python Programming Courses Using Eye-Tracking - Python Code Snippets
<p>Python code snippets for assessing code readability in Python programming courses using eye-tracking.</p>
Supplementary Material - All Eyes on Traceability: An Interview Study on Industry Practices and Eye Tracking Potential
<p>This dataset is the supplementary material for the paper "All Eyes on Traceability: An Interview Study on Industry Practices and Eye Tracking Potential" accepted at RE '23.</p> <p>The PDF titled "Interview-Questions" presents the interview questions used for the semi-structured interview of the paper.<br> The PDF titled "Interview-Questions_ReplicatorVersion" presents the interview questions enriched with comments on the qualitative and quantitative extent of the expected interviewee's responses and the category codes assigned to them during the analysis process.<br> The PDF "Eye-Tracking-Traceability-Explanatory-Slide" contains the Slide used in part 4 of the interview.<br> The spreadsheet "ArtifactsLinked.xlsx" was used to determine the number of interviewees who mentioned particular pairings of artifact types as currently being linked or ideally linked. This is the raw data for Fig. 5 in the paper.</p>
A eye movement data in a virtual-reality based driving experiment
<p>This is a dataset of eye movement data in a virtual reality based driving experiment. Fourteen participants were involved in the experiment. The numbers in the file names represent the order of the participants, while the remaining words indicate the experimental scenarios: 'day' represents daytime, 'night' represents nighttime, 'duskon' represents the beginning of dusk, and 'duskoff' represents the end of dusk. However, this study did not investigate the effects of different scenarios</p>
Six genome assemblies of Drosophila species for: Identification and genetic analysis of a pervasive "needle-eye" sperm phenotype in Drosophila sterile hybrid males
<p>Interspecies hybrid sterility has been extensively studied, especially in the genus <em>Drosophila</em>. Hybrid sterility is more often found in the heterogametic (XX or ZW) sex, a trend called Haldane's rule. Although this phenomenon is pervasive, identification of a common genetic mechanism remains elusive, with modest support found for a range of potential theories. Here, we identify a single precise morphological phenotype, which we call "needle-eye sperm," that is associated with hybrid sterility in three separate species pairs that span the <em>Drosophila</em> genus. The nature of the phenotype indicates a common point of meiotic failure in sterile hybrid males. We used ten generations of backcross selection paired with whole-genome pooled sequencing to genetically map the regions underlying the needle-eye sperm phenotype. Surprisingly, the sterility phenotype was present in ~50% of males even after ten generations of backcrossing, yet the genetic map showed multiple regions associated with sterility, indicating multiple regions may have the capacity to be sufficient to induce sterility in the F1. Due to the common phenotype among sterile male hybrids and the strong effect of individual loci, further exploration of the genes uncovered here may identify a universal mechanism for the evolution of hybrid sterility. </p>
Replication package for "An Exploratory Eye Tracking Study on How Developers Classify and Debug Python Code in Different Paradigms"
<p>See the README.md file for more details.</p>
Study data of : Preparation and evaluation of in situ eye gel with a dual triggered mechanism for the delivery of gatifloxacin and betamethasone sodium phosphate
<p><strong>Preparation and evaluation of in situ eye gel with a dual triggered mechanism for the delivery of gatifloxacin and betamethasone sodium phosphate</strong></p>
MR-Eye atlas: a large-scale atlas of the eye based on T1-weighted MR imaging
<p>MR-Eye atlas is a novel digital atlas contructed from MR images (T1-weighted MRI acquired at 1.5T ) of large-scale population of healthy volonteers. It gathers a male and female structural atlas constructed from 594 males and 616 females, with their corresponding probability maps of the different labels projected onto the average respective male and female templates. The atlases include 9 regions of interest lens, globe, optic nerve, intraconal and extraconal fat, and four rectus muscles (lateral, medial, inferior and superior).</p> <p>The original dataset includes:</p> <ul> <li>sub_metadata.csv: dataset summary table</li> <li>template.nii.gz: atlas of the eye images (per sex)</li> <li>max_prob_map.npy and max_prob_map.nii.gz: maximum probability maps (per sex)</li> <li>prob_map.npy and prob_map.nii.gz: probability maps (per sex)</li> </ul> <p>The new version adds:</p> <ul> <li>a combined eye atlas (image + labels)</li> <li>labels projected onto Colin27 and MNI152 T1w spaces (along with the images and their cropped versions)</li> <li>2 more preview figures (labels onto the Colin27 and MNI152, and the scheme of the process)</li> <li>updates on release_notes.md and release_notes.txt (to track changes)</li> <li>modified readme.md and readme.txt</li> </ul> <p>Detailed information on the original large-scale cohort, automated segmentation method and unbiased atlas construction is detailed in the README file.</p> <p>MR-Eye atlas is presented and described in the following article: </p> <p><strong>"Eye-Opening Advances: Automated 3D Segmentation, Key Biomarkers Extraction, and the First Large-Scale MRI Eye Atlas"</strong>, J. Barranco, A. Luyken, H. Kebiri, P. Stachs, P. M. Gordaliza, O. Esteban, Y. Aleman, R. Sznitman, O. Stachs, S. Langner, B. Franceschiello<em>, </em>M. Bach Cuadra, https://doi.org/10.1101/2024.08.15.608051</p> <p><strong>Works using any of the provided ressources should cite the above-referred article.</strong></p> <p>Copyright (c) - All rights reserved. Medical Image Analysis Laboratory - Department of Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne,Switzerland & CIBM Center for Biomedical Imaging. 2024.</p>
Appendix 1 in The Cat-eyed Snakes of Madagascar: Phylogeny and Description of a New Species of Madagascarophis (Serpentes: Lamprophiidae) from the Tsingy of Ankarana
Appendix 1. Information for genetic samples used in this study; both field numbers and associated museum numbers are included when available (tissue sample only/not yet vouchered individuals have only field numbers). Institutional abbreviations follow Sabaj Pérez (2014), with the addition of ELO (collection of E. Courtois), RAN (collection of R. A. Nussbaum, University of Michigan), RAX (collection of C. J. Raxworthy, American Museum of Natural History), and TJP (collection of T. Papenfuss). * Collected on the 2014 Madagascar Expedition.
Iris Vascular Area Density-Based Preoperative Pain-Risk Screening and Intervention in Second-Eye Cataract Surgery
ClinicalTrials.gov study NCT07291089. IPD Sharing: UNDECIDED. Countries: 1. Publications: 3.
Difference in the Frequency of Use of Lachrymal Substitutes in Patients With Moderate to Severe Dry Eye Syndrome
ClinicalTrials.gov study NCT02980913. IPD Sharing: Not stated. Countries: 1. Publications: 1.
A Prospective Study of Traumatic Eye Injuries in the Period From January 2022 to June 2022 in Sohag University Hospitals
ClinicalTrials.gov study NCT05164588. IPD Sharing: UNDECIDED. Countries: 1. Publications: 3.
Clinical Evaluation of the Causes of Contact Lens Related Dry Eye
ClinicalTrials.gov study NCT00995189. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Ranibizumab vs Dexamethasone Implant in Vitrectomized Eyes With Diabetic Macular Edema
ClinicalTrials.gov study NCT04089605. IPD Sharing: NO. Countries: 1. Publications: 3.
A Study to Evaluate the Efficacy, Safety, Pharmacokinetics, and Pharmacodynamics of Satralizumab in Participants With Thyroid Eye Disease
ClinicalTrials.gov study NCT06106828. IPD Sharing: YES. Countries: 10. Publications: 1.
Combined Intravitreal Bevacizumab With Topical Timolol-Dorzolamide Eye Drops in Diabetic Macular Edema
ClinicalTrials.gov study NCT05083689. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Eye Movement Desensitization and Reprocessing (EMDR) as a Treatment of Substance Use Disorders
ClinicalTrials.gov study NCT03114423. IPD Sharing: NO. Countries: 1. Publications: 17.
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.