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146
datasets available to search
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Dataset results
146 results for “Visual systems”
The influence of food web structure and foraging behaviour on visual system traits in a predatory freshwater fish
<p>Dataset used in the manuscript titled "The influence of food web structure and foraging behaviour on visual system traits in a predatory freshwater fish" Dataset includes lake trout visual system traits, body size, and food web structural attributes sampled from four different lakes in Algonquin, ON, Canada.</p>
Visualizing the organization and differentiation of the male-specific nervous system of C. elegans
<p>Image volumes and annotations for male NeuroPAL, flp-3, flp-27, and nlp-51 expression.</p> <p>The following image volumes were annotated by Tessa Tekieli, Chen Wang, and Robert Fernandez for:<br> "Visualizing the organization and differentiation of the male-specific nervous system of C. elegans".</p> <p>The publication is available here:<br> https://journals.biologists.com/dev/article-abstract/doi/10.1242/dev.199687/271902/Visualizing-the-organization-and-differentiation</p> <p>These image files can be viewed with the NeuroPAL ID software, available at:<br> https://www.hobertlab.org/neuropal/<br> OR<br> https://github.com/amin-nejat/CELL_ID</p> <p>This software was provided for the NeuroPAL publication, "NeuroPAL: A Multicolor Atlas for Whole-Brain Neuronal Identification in C. <em>elegans</em>".<br> The publication is available here:<br> https://www.cell.com/cell/fulltext/S0092-8674(20)31682-2</p> <p>Please cite the NeuroPAL publication when using the software.</p>
Single-cell transcriptional atlas of the developing Drosophila visual system (V1.1)
<p>An updated version of a single-cell transcriptional atlas of the developing Drosophila visual system (V1.1): https://doi.org/10.5281/zenodo.8097374</p> <p>Changes are described in Yoo et al. 2023 (https://doi.org/10.1101/2023.04.03.534791)</p> <pre> </pre>
How Accurately Does the Diopsys Visual Evoked Potential (VEP) Vision Testing System Detect Glaucoma?
ClinicalTrials.gov study NCT02622178. IPD Sharing: NO. Countries: 1. Publications: 1.
Data for: A morphological basis for path-dependent evolution of visual systems
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Data from: Ontogenetic adaptations in the visual systems of deep-sea crustaceans
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Data from: Plasticity contributes to a fine-scale depth gradient in sticklebacks’ visual system
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Compounding heterochrony shapes the salamander visual system across adaptive zones
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Data from: Development and patterning of a highly versatile visual system in spiders
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Data from: Visual system development of the spotted unicornfish, Naso brevirostris (Acanthuridae)
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Attention and distraction in the modular visual system of a jumping spider
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Data from: Light environment and seasonal variation in the visual system of the red shiner (Cyprinella lutrensis)
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Opsin data from: Multiple axes of visual system diversity in Ithomiini, an ecologically diverse tribe of mimetic butterflies
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Data from: Sensory limitations and the maintenance of color polymorphisms: viewing the 'alba' female polymorphism through the visual system of male Colias butterflies
Although color polymorphisms are a widespread and conspicuous component of extant biodiversity, the selective pressures that act to maintain multiple morphs within populations remain poorly understood in most cases. In particular, the role that visual system limitations may play in maintaining multiple color morphs is not well explored. We used a female-limited color polymorphism common to the butterfly genus Colias, called the 'alba' polymorphism, to investigate the hypotheses that mate-searching males may struggle to discriminate pale 'alba' females from co-occurring heterospecific white butterflies and/or heterospecific 'alba' females, or that 'alba' females may be more difficult to detect than non-'alba' females in natural scenes. Such perceptual limitations may influence the relative mating rates of 'alba' versus non-'alba' females, contributing to the evolutionary persistence of both morphs. Based on receptor-noise-limited modeling of the male Colias visual system, we find that 'alba' females exhibit chromatic and luminance contrasts against background foliage that are most similar to the 'alba' females of other co-occurring Colias species and females of the co-occurring white butterfly Pieris rapae. When compared to other co-flying butterflies including non-'alba' females, 'alba' females are consistently lower in chromatic contrast against background, but higher in luminance contrast. When viewed side-by-side, we estimate that male Colias should be able to discriminate 'alba' females from other co-occurring heterospecific butterflies, including heterospecific 'albas'. However, under field conditions that involve larger distances in space or time, males are likely to face challenges discriminating between conspecific 'alba' females and co-occurring heterospecific white butterflies, particularly heterospecific 'alba' females. Our results suggest that constraints arising from male visual function may be involved in the maintenance of this color polymorphism, particularly in populations that co-occur with other 'alba'-polymorphic Colias species. We argue that such visual system constraints may play a larger role in the maintenance of color polymorphism than has been empirically appreciated to date.
DistSNE: Distributed computing and online visualization of DNA methylation-based central nervous system tumor classification
<p><strong>The current state-of-the-art analysis of central nervous system (CNS) tumors through DNA methylation profiling relies on the tumor classifier developed by Capper and colleagues, which centrally harnesses DNA methylation data provided by users. Here, we present a distributed-computing-based approach for CNS tumor classification that achieves a comparable performance to centralized systems while safeguarding privacy. We utilize the t-distributed neighborhood embedding (t-SNE) model for dimensionality reduction and visualization of tumor classification results in two-dimensional graphs in a distributed approach across multiple sites (DistSNE). DistSNE provides an intuitive web interface (https://gin-tsne.med.uni-giessen.de) for user-friendly local data management and federated methylome-based tumor classification calculations for multiple collaborators in a DataSHIELD environment. The freely accessible web interface supports convenient data upload, result review, and summary report generation. Importantly, increasing sample size as achieved through distributed access to additional datasets allows DistSNE to improve cluster analysis and enhance predictive power. Collectively, DistSNE enables a simple and fast classification of CNS tumors using large-scale methylation data from distributed sources, while maintaining the privacy and allowing easy and flexible network expansion to other institutes. This approach holds great potentialfor advancing human brain tumor classification and fostering collaborative precision medicine in neuro-oncology. </strong></p>
Evonne: Interactive Proof Visualization for Description Logics (System Description) - IJCAR22 - Resources
<p>- <strong>evonne-experiments-ijcar22.zip</strong>: contains data and scripts used in the experiments.</p> <p>- <strong>evonne-tool-ijcar22.zip: </strong>contains the version of Evonne described in the paper.</p> <p>For more about Evonne (latest version, publications), visit <a href="https://imld.de/evonne">https://imld.de/evonne</a></p>
Dataset and code for "Tiltable objective microscope visualizes selectivity for head motion direction and dynamics in zebrafish vestibular system", Nat Commun 13, 7622 (2022). https://doi.org/10.1038/s41467-022-35190-9
<p>Dataset and code for "Tiltable objective microscope visualizes selectivity for head motion direction and dynamics in zebrafish vestibular system", Tanimoto, Watakabe, and Higashijima.</p> <p> </p> <p>The spreadsheet files contain source data for the figures.</p> <p>The file named "register_rotated_images_demo.zip" contains the MATLAB code, example image data, and instruction text data. To use the code, unzip the file and follow the instructions in the "readme.txt" file. The file named "register_rotated_images_demo_output.zip" contains expected output image data.</p> <p> </p>
Fig. 3 in A study of common scorpionfly (Mecoptera: Panorpidae) visual systems reveals the expression of a single opsin
Fig. 3 Panorpid wing banding in eight taxa. a P. nebulosa. b P. japonica. c P. pryeri. d P. isolata. e P. lewisi. f P. arakavae. g P. gracilis. h P. acuminata (chart generated in Adobe Illustrator)
Fig. 2 in A study of common scorpionfly (Mecoptera: Panorpidae) visual systems reveals the expression of a single opsin
Fig. 2 Maximum likelihood topology (score of −32468.33) generated from UV, blue, and LW opsin genes (image generated in Adobe Illustrator)
Fig. 1 a P in A study of common scorpionfly (Mecoptera: Panorpidae) visual systems reveals the expression of a single opsin
Fig. 1 a P. nebulosa, contributed by Gayle Strickland. b P. hungerfordii, contributed by Ken Sproule. c P. hungerfordii, contributed by Ken Sproule. d P. nebulosa, contributed by Gayle Strickland. e B. coloradensis. f B. coloradensis
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.