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28 results for “Compound eye”

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dryad36/100

Use of a pronotal shield as an extraretinal short-wavelength filter for the dorsal compound eye of an insect

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publicNov 2025View details →
dryad36/100

Data from: Adaptive superposition compound eyes for perceptions under distinct light levels

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publicAug 2025View details →
dryad36/100

More to legs than meets the eye: Presence and function of pheromone compounds on heliothine moth legs

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publicFeb 2024View details →
dryad32/100

Data from: Surf and Turf Vision: Patterns and predictors of visual acuity in compound eye evolution

<p><span><span>Eyes have the flexibility to evolve to meet the ecological demands of their users.</span><b><span> </span></b><span>Relative to camera-type eyes, the fundamental limits of optical diffraction in arthropod compound eyes restricts the ability to resolve fine detail (visual acuity) to much lower degrees. We tested the capacity of several ecological factors to predict arthropod visual acuity, while simultaneously controlling for shared phylogenetic history. In this study, we have generated the most comprehensive review of compound eye visual acuity measurements to date, containing </span></span><span><span>375 </span></span><span><span>species that span six of the major arthropod classes. An arthropod phylogeny, made custom to this database, was used to develop a phylogenetically-corrected generalized least squares (PGLS) linear model to evaluate four ecological factors predicted to underlie compound eye visual acuity: environmental light intensity, foraging strategy (predator vs. non-predator), horizontal structure of the visual scene, and environmental medium (air vs. water). To account for optical constraints on acuity related to animal size, body length was also included, though this did not show a significant effect in any of our models. Rather, the PGLS revealed that the strongest predictors of compound eye acuity are described by a combination of environmental medium, foraging strategy, and environmental light intensity.</span></span></p>

opencc-zeroJul 2020View details →
dryad32/100

Data from: Surf and Turf Vision: Patterns and predictors of visual acuity in compound eye evolution

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publicJul 2020View details →
dryad28/100

Data from: Colony-level differences in the scaling rules governing wood ant compound eye structure

Differential organ growth during development is essential for adults to maintain the correct proportions and achieve their characteristic shape. Organs scale with body size, a process known as allometry that has been studied extensively in a range of organisms. Such scaling rules, typically studied from a limited sample, are assumed to apply to all members of a population and/or species. Here we study scaling in the compound eyes of workers of the wood ant, Formica rufa, from different colonies within a single population. Workers' eye area increased with body size in all the colonies showing a negative allometry. However, both the slope and intercept of some allometric scaling relationships differed significantly among colonies. Moreover, though mean facet diameter and facet number increased with body size, some colonies primarily increased facet number whereas others increased facet diameter, showing that the cellular level processes underlying organ scaling differed among colonies. Thus, the rules that govern scaling at the organ and cellular levels can differ even within a single population.

opencc-zeroDec 2015View details →
zenodo28/100

Fig. 2. Dienerella costulata. A. head, dorsal aspect. B. compound eye, dorsal aspect. C in New Korean record and redescription of Dienerella (Dienerella) costulata (Reitter) (Coleoptera: Latridiidae: Latridiinae)

Fig. 2. Dienerella costulata. A. head, dorsal aspect. B. compound eye, dorsal aspect. C. frons and clypeus, dorsal aspect. D. antenna, dorsal aspect. E. apical end of antennomere 11. F. apical end of antennomere 9.

opencc-by-4.0Aug 2013View details →
dryad28/100

Data from: Colony-level differences in the scaling rules governing wood ant compound eye structure

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publicMar 2017View details →

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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