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Dataset results
6 results for “insect vision”
Ancient insect vision tuned for flight amongst rocks and plants underpins natural flower colour diversity - rock, mineral, stick, bark, leaf, bird- and insect-flower petal reflectance spectra
<p>Understanding the origins of flower colour signalling to pollinators is fundamental to evolutionary biology and ecology. Flower colour evolves under pressure from visual systems of pollinators, like birds and insects, to establish global signatures among flowers with similar pollinators. However, an understanding of the ancient origins of this relationship remains elusive. Here, we employ computer simulations to generate artificial flower backgrounds assembled from real material sample spectra of rocks, leaves, and dead plant materials, against which to test flowers' visibility to birds and bees. Our results indicate how flower colours differ from their backgrounds in strength, and the distributions of salient reflectance features when perceived by these key pollinators, to reveal the possible origins of their colours. Since Hymenopteran visual perception evolved before flowers, the terrestrial chromatic context for its evolution to facilitate flight and orientation consisted of rocks, leaves, sticks, and bark. Flowers exploited these pre-evolved visual capacities of their visitors, and in response evolved chromatic features to signal to bees, and differently to birds, against a backdrop of other natural materials. Consequently, it appears that today's flower colours may be an evolutionary response to the vision of diurnal pollinators navigating their world millennia prior to the first flowers.</p>
Generating spatiotemporal patterns of linearly polarised light at high frame rates for insect vision research
<p><strong>Electrophysiology dataset for the work presented in:</strong></p> <p>Supple et al., (2022) Generating spatiotemporal patterns of linearly polarised light at high frame rates for insect vision research. J. Exp. Biol. 225, jeb244087. doi:10.1242/jeb.244087</p> <p><strong>Analysis code available at:</strong> https://github.com/jacksupple/Supple22_JEB_PolDevice_DataAnalysisScripts</p> <p>Download, select all, and extract files. Navigate to the assembled folder to re-run the analysis code.</p> <p><em>Argynnis paphia</em> butterfly intracellular photoreceptor traces are located in "\Photoreceptor_data". Results of the analysed data are found in "\photoreceptor_results"</p> <p><em>Calliphora vicina</em> blowfly extracellular lobula plate tangential cell (LPTC) recordings are located in "\LPTC_data". Results of the analysed data are found in "\LPTC_results".</p> <p>"\DualDLP_Stim" contains parameter files for the rotating dot stimuli, which are used during analysis.</p>
Ancient insect vision tuned for flight amongst rocks and plants underpins natural flower colour diversity - rock, mineral, stick, bark, leaf, bird- and insect-flower petal reflectance spectra
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Data from: Sensory exploitation of insect face cues by courting peacock spiders: A test using computer vision
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Data from: Head movements quadruple the range of speeds encoded by the insect motion vision system in hawkmoths
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Revolutionising Insect Biodiversity Monitoring with Cutting-Edge Sensors, Deep Learning, and Computer Vision
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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.
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.