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8 results for “Virtual Character”
Images associated to the paper "Evaluating the Sensitivity to Virtual Characters Facial Asymmetry in Emotion Synthesis"
<p>We conducted an experiment by presenting 64 pairs of static facial expressions, one symmetric and one asymmetric, illustrating eight emotions (three basic and five complex ones) alternatively for a male and a female character.<br> Each emotion was presented four times by swapping the symmetric and asymmetric positions and by mirroring the asymmetrical expression. Participants were asked to grade, on a continuous scale, the correctness of each facial expression with respect to a short definition</p>
FIGURE 6 in A non-destructive virtual dissection by micro-CT reveals diagnostic characters in the type specimen of Caloptilia stigmatella (Lepidoptera: Gracillariidae)
FIGURE 6. Caloptilia stigmatella type. Visualisations of right fore and hindwings of C. stigmatella holotype.
FIGURE 5. Caloptilia stigmatella type. 5 in A non-destructive virtual dissection by micro-CT reveals diagnostic characters in the type specimen of Caloptilia stigmatella (Lepidoptera: Gracillariidae)
FIGURE 5. Caloptilia stigmatella type. 5. Visualisations of left fore and hindwings of C. stigmatella holotype.
FIGURE 4 in A non-destructive virtual dissection by micro-CT reveals diagnostic characters in the type specimen of Caloptilia stigmatella (Lepidoptera: Gracillariidae)
FIGURE 4. Caloptilia stigmatella type. Initial scan of C. stigmatella holotype wings targeted above the pin.
FIGURE 2. Original material. 2 in A non-destructive virtual dissection by micro-CT reveals diagnostic characters in the type specimen of Caloptilia stigmatella (Lepidoptera: Gracillariidae)
FIGURE 2. Original material. 2. Type specimen of Tinea stigmatella (Fabricius, 1781) GLAHM:137070 kept at the Hunterian, University of Glasgow. The handwritten number 34 on the label matches the number in original description by Fabricius.
FIGURE 1 in A non-destructive virtual dissection by micro-CT reveals diagnostic characters in the type specimen of Caloptilia stigmatella (Lepidoptera: Gracillariidae)
FIGURE 1. Original material. The original description of Tinea stigmatella by Fabricius (1781). The description is under the number 34.
FIGURE 3. Caloptilia stigmatella type. Fabrician type C in A non-destructive virtual dissection by micro-CT reveals diagnostic characters in the type specimen of Caloptilia stigmatella (Lepidoptera: Gracillariidae)
FIGURE 3. Caloptilia stigmatella type. Fabrician type C. stigmatella secured in position with dental wax ready for scanning.
FIGURE 7 in A non-destructive virtual dissection by micro-CT reveals diagnostic characters in the type specimen of Caloptilia stigmatella (Lepidoptera: Gracillariidae)
FIGURE 7. The schematic visualization of wing venation in the holotype of C. stigmatella.
ScienceDex guides
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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.