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3,905 results for “eye”
Figs 74–78 in Evolution of genital asymmetry, exaggerated eye stalks, and extreme palpal elongation in Panjange spiders (Araneae: Pholcidae)
Figs 74–78. Panjange dinagat Huber sp. nov. (ZFMK, Ar 13016). 74–75. Left male palp, prolateral and retrolateral views. 76. Male prosoma and chelicerae, frontal view. 77–78. Cleared female genitalia, ventral and dorsal views. Abbreviations: a = appendix; b = genital bulb; e = embolus; p = procursus; tr = trochanter. Scale bars: 74–76 = 0.5 mm; 77–78 = 0.3 mm.
Figs 26–30 in Evolution of genital asymmetry, exaggerated eye stalks, and extreme palpal elongation in Panjange spiders (Araneae: Pholcidae)
Figs 26–30. Panjange casaroro Huber sp. nov. (ZFMK, Ar 13001). 26–27. Right male palp, prolateral and retrolateral views. 28. Male prosoma and chelicerae, frontal view. 29–30. Cleared female genitalia, ventral and dorsal views. Scale bars = 0.5 mm.
Figs 64–65 in Evolution of genital asymmetry, exaggerated eye stalks, and extreme palpal elongation in Panjange spiders (Araneae: Pholcidae)
Figs 64–65. Panjange hamiguitan Huber sp. nov. (ZFMK, Ar 13009), left male palp, prolateral and retrolateral views. Abbreviations: a = appendix; b = genital bulb; e = embolus; h = hinge; p = procursus; pto = palpal tarsal organ; te = tarsal elongation; vp = ventral process. Scale bar = 1 mm.
Figs 66–68 in Evolution of genital asymmetry, exaggerated eye stalks, and extreme palpal elongation in Panjange spiders (Araneae: Pholcidae)
Figs 66–68. Panjange hamiguitan Huber sp. nov. (ZFMK, Ar 13009, 13012). 66. Male prosoma and chelicerae, frontal view. 67. Cleared female genitalia, dorsal view (proximal part of scape partly extended). 68. Detail of Fig. 67. Scale bars: 66–67 = 0.5 mm; 68 = 0.3 mm.
Figs 45–49 in Evolution of genital asymmetry, exaggerated eye stalks, and extreme palpal elongation in Panjange spiders (Araneae: Pholcidae)
Figs 45–49. Panjange camiguin Huber sp. nov., SEM micrographs (ZFMK, Ar 13003, 13004). 45– 46. Male and female prosomata, frontal views (arrows point at tiny AME remnants). 47. Male chelicerae. 48–49. Male eye triads and ocular processes, oblique frontal and frontal views. Scale bars: 45–46, 49 = 200 µm; 47–48 = 100 µm.
Figs 38–44 in Evolution of genital asymmetry, exaggerated eye stalks, and extreme palpal elongation in Panjange spiders (Araneae: Pholcidae)
Figs 38–44. Panjange camiguin Huber sp. nov. (ZFMK, Ar 13003). 38–39. Left male palp, prolateral and retrolateral views. 40. Male chelicerae, frontal view. 41–42. Left male tarsus and procursus, prolateral and retrolateral views. 43–44. Right male tarsus and procursus, retrolateral and prolateral views. Abbreviations: a = appendix; b = genital bulb; e = embolus; p = procursus; te = tarsal elongation; tr = trochanter. Scale bars: 38–39, 41–44 = 1 mm; 40 = 0.3 mm.
Figs 24–25 in Evolution of genital asymmetry, exaggerated eye stalks, and extreme palpal elongation in Panjange spiders (Araneae: Pholcidae)
Figs 24–25. Panjange casaroro Huber sp. nov. (ZFMK, Ar 13001), left male palp, prolateral and retrolateral views. Abbreviations: a = appendix; b = genital bulb; e = embolus; h = hinge; p = procursus; pto = palpal tarsal organ; te = tarsal elongation; tr = trochanter; vp = ventral process. Scale bar = 0.5 mm.
gazeNet: End-to-end eye-movement event detection with deep neural networks
<p>This repository contains synthetic eye-movement dataset used to train deep learning based eye-movement event detection algorithm described in Zemblys, R., Niehorster, D.C. & Holmqvist, K. (2018). gazeNet: End-to-end eye-movement event detection with deep neural networks. Behavior research methods, pp 1–25. <a href="https://doi.org/10.3758/s13428-018-1133-5">https://doi.org/10.3758/s13428-018-1133-5</a></p> <p>Code used to train a model can be found on github <a href="https://github.com/r-zemblys/gazeNet">here</a>. Code to generate synthetic eye-movement data can be downloaded from <a href="https://github.com/r-zemblys/gazeGenNet">here</a>.</p>
Fig. 7. A–C. Eye and postgena. A. Dipsomyia spinifera Bezzi, 1909 in Revision and morphological analysis of the Ragadidae (Insecta, Diptera)
Fig. 7. A–C. Eye and postgena. A. Dipsomyia spinifera Bezzi, 1909 (MTD). B. Hydropeza longipennae (Miller, 1923) (NZAC 04021412). C. Zanclotus dioktes Wilder, 1982 (USNM). D. Dipsomyia spinifera, prosternum and fore coxa (MTD). E. Hydropeza longipennae, prosternum (NZAC 04021412). F–G. Fore coxa and trochanter. F. Hydropeza longipennae (NZAC 04021412). G. Zanclotus dioktes (USNM).
Eye on Core Trust Seal - Data Set
<p>This data set includes extracted information from 40 CoreTrustSeal (CTS) self-assessment reports, which were publicly available by January 15th 2019 at https://www.coretrustseal.org/why-certification/certified-repositories/. The authors extracted general information from the title pages of the self-assessment reports, as well as responses to criterion "R0 - Background Information / Context".<br> Sheet "Extracted_Information" includes all extracted info, whereas "Level_of_Curation", "Designated_Community" and "Repository_Type" include normalized and categorized data. The data cleansing / normalization and analysis processes are described in the paper "Eye on Core Trust Seal - Recommendations for Criterion R0 from Digital Preservation and Research Data Management Perspectives" to be released as part of the Proceedings of iPRES2019, the 16th International Conference on Digital Preservation. The data set forms the basis for an extended analysis of Core Trust Seal criterion R0 from the perspectives of the digital preservation and research data management domain.</p> <p><strong>Abstract of the accompanying paper:</strong></p> <p>The CoreTrustSeal (CTS) is an accepted trustworthy digital repository certification process for both, research data management and digital preservation communities alike. But does it build on concepts known and understood by both of these communities? We take an in-depth look at the CTS requirement <em>R0 - Background Information / Context</em>, in which the applicants are asked to define their repository type, designated community and level of curation performed. By extracting information from the publicly available assessment reports and cross-checking these against available supporting information, we reflect on CTS from three viewpoints: the process, the institutional, and the community view. We distill concrete recommendations, which will be fed back to the CTS Board as part of the 2019 public call for review.</p>
Data from Churan et al. 2018 Eye movements during path integration
<p>Subjects</p> <p>Six human subjects (two male and four female, mean age 23 years) took part in the experiment. The subjects had normal or corrected‐to‐normal vision and normal hearing.</p> <p>Apparatus</p> <p>Experiments were conducted in a darkened (but not completely dark) sound attenuated room. Subjects were seated at a distance of 114 cm from a tangential screen (70° x 55° visual angle) and their head‐position was stabilized by a chin‐rest. Visual stimuli were generated on a windows PC using an in‐house built stimulus package and were back‐projected onto the screen by a CRT‐Projector (Electrohome Marquee 8000) at a resolution of 1152 x 864 pixels and a frame rate of 100 Hz. The auditory stimuli were also generated using MATLAB and presented to the subjects by head‐phones (Philips SHS390). The eye position was recorded by a video‐based eye‐tracker (EyeLink II, SR Research) at a sampling rate of 500 Hz and an average accuracy of ~0.5°. During the distance reproduction, the subjects controlled the speed of simulated self‐motion using an analog joystick (Logitech ATK3) that was placed on a desk in front of them. The speed of the simulated self‐motion was proportional to the inclination angle of the joystick. The data from the joystick were acquired at a rate of 100 Hz and minimal change in speed of simulated self‐motion that could be triggered by the joystick was 1/1000 of the maximum range of speeds used in the experiments.</p> <p>Stimuli</p> <p>The visual stimulus consisted of a horizontal plane of white (luminance: 90 cd/m<sup>2</sup>) randomly placed small squares on a dark (<0.1 cd/m<sup>2</sup>) background that filled the lower half of the screen. The size of the squares was scaled between 0.2° and 1.9° in order to simulate depth. The direction of the simulated self‐motion was always straight‐ahead.The distances are always quantified in arbitrary units (AU) and the speed of simulated self‐motion in AU/s.The auditory stimuli were sinusoidal tones (SPL approximately 80 dB) with a frequency proportional to the simulated speed. The frequencies were in a range between 220 and 440 Hz and changed linearly as a function of the speed of the simulated self‐motion, which was in the range of 0–20 AU/s.</p> <p>Procedure</p> <p>Each trial consisted of two phases. During the “Encoding phase” the subjects were presented with a simulated self‐motion at one of the three speeds (8, 12 or 16 AU/s). The presentation lasted 4 seconds each which resulted in three different traveled distances (32, 48, 64 AU). The presentation was always bimodal, i.e., visual motion was accompanied by a sound representing the respective speed. The sound frequencies corresponding to the three speeds used during the Encoding phase were 308, 354, and 396 Hz, respectively. The task of the subjects in this phase was to monitor the distance covered for later reproduction. After the Encoding phase, a dark screen was presented for 500 msec and then the subjects had to reproduce the previously observed distance using a joystick. In different conditions of this “Reproduction phase,” either only the visual display was presented (visual condition) or only the auditory stimulus was presented while the screen was dark (auditory condition) or both sources of information were available at the same time (bimodal condition). During reproduction, the subjects were able to change the simulated speed by changing the inclination of the joystick. After the subjects had reached the distance they perceived to be identical to that during the Encoding phase, they had to press a joystick button to complete the trial. The subjects were allowed to move their eyes freely during the Encoding and the Reproduction phases. There were thus nine different experimental conditions: three different speeds in three different modalities. In each experimental condition, 80 trials were recorded. All conditions were presented in a pseudo‐randomized order and the subjects were not informed in advance about the sensory modality of the Reproduction phase.</p> <p>Data</p> <p>Eye position as well as the speed of the simulated self‐motion were recorded at a sampling rate of 500 Hz.<br> The file 'all_data.mat' is a MATLAB data file that consists of the cell structure 'all_data' has the elements 'pas' that contains data from the Encoding phase and 'akt' that contains data from the Reproduction phase.<br> The sub-structure 'pas' consists of 6x9x80 elements. The first dimension represents single subjects (6)<br> The second dimension represents the nine different conditions: 1. 8AU/s auditory 2. 8AU/s visual 3. 8AU/s bimodal 4. 12AU/s auditory 5. 12AU/s visual 6. 12AU/s bimodal 7. 16AU/s auditory 8. 16AU/s visual 9. 16AU/s bimodal<br> The third dimension represents the number of (80) trials recorded for each subject and condition.<br> Each element of 'pas' is a matrix consisting of two rows, the first giving the horizontal eye position and the second row giving the vertical eye position. The sampling rate (columns) was 500 Hz. The simulated self-motion started at first sample and ended 4 sec (=2000 samples) later.</p> <p>The sub-structure 'akt' has the same general shape. The only difference is that each element consists of three rows; horizontal eye-position, vertical eye-position, and (the actively chosen) speed of simulated self-motion.</p>
Fig. 4 in Ballomma, a new Afrotropical genus in the Cryptothelinae (Araneae, Zodariidae): eyes on the run
Fig. 4. Ballomma erasmus gen. et sp. nov. A–C. Holotype, ♂. D. Paratype, ♀. A. Male palp, retrolateral, slightly posterior and dorsal, view. B. As preceding, ventral view. C. As preceding, prolateral view. D. Epigyne, ventral view. Scale bars: 0.2 mm.
Fig. 1 in Ballomma, a new Afrotropical genus in the Cryptothelinae (Araneae, Zodariidae): eyes on the run
Fig. 1. Ballomma erasmus gen. et sp. nov. Holotype, ♂. A. Habitus, dorsal view. B. As preceding, ventral view. C. Prosoma, ventral view. D. Abdomen, ventral view. Scale bars: 1 mm.
Fig. 8 in Ballomma, a new Afrotropical genus in the Cryptothelinae (Araneae, Zodariidae): eyes on the run
Fig. 8. Ballomma haddadi gen. et sp. nov. A–B. Holotype, ♂. C–D. ♀♀ (MRAC 132641). A. Male palp, retrolateral view. B. As preceding, ventral view. C. Epigyne, ventral view. D. As preceding, other specimen. Scale bars: 0.5 mm.
Fig. 14 in Ballomma, a new Afrotropical genus in the Cryptothelinae (Araneae, Zodariidae): eyes on the run
Fig. 14. Distribution of species of Ballomma gen. nov.: B. erasmus gen. et sp. nov. (), B. haddadi gen. et sp. nov. (), B. legala gen. et sp. nov. () and B. neethlingi gen. et sp. nov. ().
Fig. 2 in All the better to see you with: a review of odonate color vision with transcriptomic insight into the odonate eye
Fig. 2 Image representing the body and wing coloration of damselflies (a-e). (a) Platycyphya caligata courtesy of J. Abbott. (b) Calopteryx maculata courtesy of J. Abbott. (c) An andromrophic mating wheel of Ischnura ramburii with male on top and andromorph female on the bottom. Courtesy of S. Coleman. (d) Megaloprepus coerulatus courtesy of T. Davenport. (e) An gynomrophic mating wheel of Ischnura ramburii with male on top and gynomorph female on bottom. Courtesy of S. Coleman
Fig. 1 in All the better to see you with: a review of odonate color vision with transcriptomic insight into the odonate eye
Fig. 1 Diagram of the ventral ommatidium of Sympetrum (redrawn from Armett-Kibel and Menertzhagen 1983)
Fig. 3. A–B in Taxonomic revision of the Neotropical stalk-eyed fly Plagiocephalus Wiedemann (Diptera, Ulidiidae, Ulidiinae)
Fig. 3. A–B. Plagiocephalus lobularis: A. Male wing; B. Female wing. C–D. Plagiocephalus latifrons: C. Male wing; D. Female wing. E–F. Plagiocephalus intermedius: E. Male wing; F. Female wing. Abbreviations: ab: apical band; db: discal band; sab: subapical band; rmb: radial-medial band.
Fig. 6 in Taxonomic revision of the Neotropical stalk-eyed fly Plagiocephalus Wiedemann (Diptera, Ulidiidae, Ulidiinae)
Fig. 6. Distribution map of Plagiocephalus with Costa Rica detached. Circles show distribution records from the literature. Stars show new distribution records. Yellow: P. intermedius; Red: P. latifrons; Light blue: P. lobularis.
Fig. 4. A–D in Taxonomic revision of the Neotropical stalk-eyed fly Plagiocephalus Wiedemann (Diptera, Ulidiidae, Ulidiinae)
Fig. 4. A–D. General morphology of the male terminalia of Plagiocephalus: A. Ejaculatory apodeme in lateral view (P. lobularis); B. Male terminalia in lateral view (P. lobularis); C. Epandrium in posterior view (P. latifrons); D. Hypandrium, phallapodeme, phallapodemic arms, basiphallus and distiphallus (P. latifrons). E–F. General morphology of the female terminalia of Plagiocephalus: E. Female terminalia in dorsal view (P. lobularis); F. Spermathecae (P. lobularis). Abbreviations: basiph: basiphallus; cerc: cerci; distph: distiphallus; ej apod: ejaculatory apodeme; epand: epandrium; ev memb: eversible membrane; hypd: hypandrium; lat sur: lateral surstylus; med sur: medial surstylus; ovscp: oviscape; phapod: phallapodeme; phapod arm: phallapodemic arm; prens: prensiseta; sg 8: segment 8; spmth: spermathecae; tae: taeniae.
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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.