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Fig. 3. Phyllopodopsyllus thiebaudi santacruzensis Mielke, 1989 in Three new harpacticoid copepods for Korea from marine interstitial habitats
Fig. 3. Phyllopodopsyllus thiebaudi santacruzensis Mielke, 1989; A-D, SEM photographs; E-H, CLM photographs; A, B, male 1, lateral view; C, D, male 2, ventral view; E-H, female 4, dissected and mounted on microscope slides, anterior view: A, habitus; B, anal somite and caudal rami; C, habitus; D, distal part of antennula; E, first swimming leg; F, second swimming leg; G, third swimming leg; H, fourth swimming leg.
Fig. 2. Phyllopodopsyllus thiebaudi santacruzensis Mielke, 1989 in Three new harpacticoid copepods for Korea from marine interstitial habitats
Fig. 2. Phyllopodopsyllus thiebaudi santacruzensis Mielke, 1989, SEM photographs; A-C, female 2, dorsal view; D-G, female 3, ventral view; H, male 1, lateral view: A, habitus; B, anterior part of cephalothorax with rostrum and first segment of antennula; C, anal somite and caudal rami; D, habitus; E, anal somite and caudal rami; F, endopod and first two exopodal segment of second swimming leg; G, distal part of third exopodal segment of fourth swimming leg; H, distal part of antennula.
Fig. 1. Phyllopodopsyllus thiebaudi santacruzensis Mielke, 1989 in Three new harpacticoid copepods for Korea from marine interstitial habitats
Fig. 1. Phyllopodopsyllus thiebaudi santacruzensis Mielke, 1989, SEM photographs, female 1, lateral view: A, habitus; B, cephalothoracic shield; C, tergites of free prosomites; D, genital somite with proximal part of fifth leg; E, distal part of fifth leg; F, anal somite and caudal ramus; G, second endopodal segment of first swimming leg; H, exopod of antenna.
Fig. 2 in New record of three hypotrich soil ciliates (Ciliophora: Hypotricha) from South Korea: Oxytricha multilineata, Mixophrya pantanalensis pantanalensis and Caudiurostyla sinensis
Fig. 2. Mixophrya pantanalensis pantanalensis from life (A-C) and after protargol impregnation (D, E). A, Ventral view showing lithosomes (arrows); B, Cytoplasm showing cortical granule (arrows) and mitochondria (arrowheads); C, Cytoplasm showing surrounded lithosome (arrow) from crystalline structures and masses of granules (arrowhead); D, E, Ventral and dorsal view of typical specimen; AZM, adoral zone of membranelles; BC, buccal cirrus; CC, caudal cirri; FC, frontal cirri; LMR, left marginal cirral row; PTC, pretransverse cirri; RMR, right marginal cirral row; TC, transverse cirri; 1-6, dorsal kineties 1-6. Scale bars = 10 μm (B, C); 50 μm (A, D, E).
Fig. 3 in New record of three hypotrich soil ciliates (Ciliophora: Hypotricha) from South Korea: Oxytricha multilineata, Mixophrya pantanalensis pantanalensis and Caudiurostyla sinensis
Fig. 3. Caudiurostyla sinensis from life (A-E) and after protargol impregnation (F, G). A, B, Ventral view showing contractile vacuole (arrow); C, Ventral view from live; D, Ventral view showing cortical granules (arrows) lying along with cirral; E, Side view of cortical granules (arrow); F, G, Ventral and dorsal view of typical specimen; FC, frontal cirri; LMR, left marginal cirral row; RMR, right marginal cirral row; TC, transverse cirri. Scale bars = 10 μm (D, E); 50 μm (A, B, C, F, G).
Fig. 9 in Freshwater bryozoans of Korea-observations on living colonies and three new records
Fig. 9. Plumatella rugosa Wood, Wood, Geimer and Massard, 1988. A, Colony (white arrow); B, Dorsal view, flatoblast; C, Ventral view, flatoblast; D, Enlarged view of the annulus and fenestra in C. Scale bars: B, C = 100 μm, D = 30 μm.
Fig. 8 in Freshwater bryozoans of Korea-observations on living colonies and three new records
Fig. 8. Plumatella repens (Linnaeus, 1758). A, Ventral, flatoblast; B, C, Enlarged view of the annulus and fenestra in A; D, Annulus. Scale bars: A = 100 μm, B = 50 μm, C, D = 10 μm.
Fig. 7. Plumatella reticulata Wood 1988. A in Freshwater bryozoans of Korea-observations on living colonies and three new records
Fig. 7. Plumatella reticulata Wood 1988. A, Sessoblasts; B, Reticulated irregular ridges on the frontal fenestra of A; C, Annulus; D, Lateral wall, sessoblast. Scale bars: A = 100 μm, B, C = 50 μm, D = 30 μm.
Fig. 4 in Freshwater bryozoans of Korea-observations on living colonies and three new records
Fig. 4. Hyalinella punctata (Hancock, 1850). A, Habitat, paddlewheel (white arrows: colonies); B, Tentacles; C, Floatoblast, young floatoblast in zooid. Scale bars: A = 2 cm, B = 500 μm, C = 300 μm.
Fig. 5. Plumatella casmiana Oka, 1907. A in Freshwater bryozoans of Korea-observations on living colonies and three new records
Fig. 5. Plumatella casmiana Oka, 1907. A, Colony (white arrow); B, Leptoblast; C, Dorsal view, Sessoblast; D, Lateral view, sessoblast. Scale bars: A= 2 mm, B-D = 100 μm.
Fig. 2 in Freshwater bryozoans of Korea-observations on living colonies and three new records
Fig. 2. Lophopodella carteri (Hyatt, 1866). A, Colony (white arrow); B, Floatoblast. Scale bars: A = 3 mm, B = 500 μm.
Fig. 1. Map showing the sampling localities from 2014 in Freshwater bryozoans of Korea-observations on living colonies and three new records
Fig. 1. Map showing the sampling localities from 2014 to 2016. 1, Hyangho Reservoir; 2, Sunpo Wetland; 3, Maok Reservoir; 4, Banbyeon Stream; 5, Sangju Weir; 6, Nakdan Weir; 7, Chilgok Weir; 8, Samunjin Bridge; 9, Dalseong Weir; 10, Hapcheon-Changnyeong Weir; 11, Changnyeong-Haman Weir; 12, Namji Bridge; 13, Ojori Pond; 14, Wonmul Pond; 15, Geumoreum; 16, Sasaengi Pond; 17, Suwori Pond; 18, Bungurut Pond; 19, Yongsu Reservoir; 20, Susan Reservoir; 21, Songhyeon Reservoir; 22, Jogang Reservoir; 23, Juksan Weir; 24, Yeongsan River; 25, Seungchon Weir; 26, Cheongam Pond; 27, Gwangju Reservoir; 28, Dongrim Reservoir; 29, Aedang Reservoir; 30, Andeok Reservoir; 31, Chongho Reservoir; 32, Mangyeong Stream; 33, Mangyeong River; 34, Daewi Reservoir; 35, Wonsu Reservoir; 36, Geumma Reservoir; 37, Dochon Reservoir; 38, Sungrim Reservoir; 39, Seoji Reservoir; 40, Geumgang Estuary; 41, Heungrim Reservoir; 42, Bongseon Reservoir; 43, Ungpo Bridge; 44, Mujigae Bridge; 45, Tapjeong Reservoir; 46, Hwangsan Bridge; 47, Juhang Reservoir; 48, Bocheong Stream; 49, Daecheong Reservoir; 50, Gap Stream; 51, Sejong Weir; 52, Daegyo Stream; 53, Gongju Weir; 54, Bakje Weir; 55, Changgi Reservoir; 56, Suryong Reservoir; 57, Malli Reservoir; 58, Jakcheon Reservoir; 59, Nongdari Stone Bridge; 60, Chopyeong Reservoir; 61, Baekgok Stream; 62, Miho Stream; 63, Baekgok Reservoir; 64, Daetgol Reservoir; 65, Chungju Reservoir; 66, Mungwang Reservoir; 67, Gwanghyewon Reservoir; 68, Gangcheon Weir; 69, Yeoju Weir; 70, Ipo Weir.
Fig. 1 in Three new records of recent benthic Foraminifera from Korea
Fig. 1. Map of three sampling stations in the southwestern part of Jeju Island (East China Sea). This map is made with Natural Earth free vector and raster map data and QGIS software v.2.18.18.
Plate 1. 1 in Three new records of recent benthic Foraminifera from Korea
Plate 1. 1. (a-d) Ammobaculites formosensis Nakamura, 1937; 1a. SEM image, side view; 1b. Digital camera image, side view; 1c. Frontal view; 1d. Apertural side view. 2. (a-d) Cylindroclavulina bradyi (Cushman, 1911); 2a-b. Side view; 2c-d. Apertural side view. 3. (a-d) Saracenaria hannoverana (Franke, 1936); 3a. Side view; 3b. Ventral view; 3c. Dorsal view; 3d. Apertural side view.
Figures 12–15 in Review of the family Digamasellidae (Acari: Mesostigmata) in Iran with three new records and a key to species
Figures 12–15. Oligodentatus tridentatus Shcherbak & Bregetova (female) – 12. Coxa–tibia of leg I; 13. Coxa–tibia of leg II; 14. Coxa–tibia of leg III; 15. Coxa–tibia of leg IV.
Figures 10–11 in Review of the family Digamasellidae (Acari: Mesostigmata) in Iran with three new records and a key to species
Figures 10–11. Oligodentatus tridentatus Shcherbak & Bregetova (female) – 10. Dorsal idiosoma; 11. Ventral idiosoma.
BRAIN Journal-An Enhancement over Texture Feature Based Multiclass Image Classification under Unknown Noise-Figure 8. Performance in 1st Approach for three data set
<p>This work also deals with classification of multi class images under different constraints of<br> data set. The first experiment is carried out on images without noise, second with Gaussian noise<br> and filtered data set in third experiment. Performance of the classifier using statistical texture<br> features for two approaches are presented in the table 3. It is observed that performance n the first<br> experiment is best in the first data set i.e. data set without noise in both the approach, while the<br> performance is decreased if the same images are affected by Gaussian noise.</p>
BRAIN Journal-An Enhancement over Texture Feature Based Multiclass Image Classification under Unknown Noise-Figure 9. Performance in 2nd Approach for three data set
<p>This work also deals with classification of multi class images under different constraints of<br> data set. The first experiment is carried out on images without noise, second with Gaussian noise<br> and filtered data set in third experiment. Performance of the classifier using statistical texture<br> features for two approaches are presented in the table 3. It is observed that performance n the first<br> experiment is best in the first data set i.e. data set without noise in both the approach, while the<br> performance is decreased if the same images are affected by Gaussian noise. This is because the<br> texture feature of the original images consists Gaussian pattern also. Filtering of the noise from the<br> second data set improves the result. The table also shows that feature extraction using blocking of<br> the image enhance the average classification rate in all the case.</p>
Figure 3. (Top): Illustration of the therapy selection main menu. This enables the user to select one of three options for the therapy. Stimuli sequence selectors; (Bottom): (a) Short distance – complete visual field; (b) Short distance – macular; (c) Middle-long distance.-Design of a Novel Servo-motorized Laser Device for Visual Pathways Diseases Therapy
<p>distance therapies for the prescribed time suggested by the ophthalmologist.<br> Note that the complete visual field therapy stimulates different parts in the entire visual field<br> whereas macular therapy stimulate only a small part of the visual field, only the first 10° of vision<br> range. In contrast, middle-long distance therapies are not developed inside the device; instead the<br> patient must sit watching a wall, where the stimuli will be presented. Figure 3 (Bottom) shows the<br> sequence selectors for the three different cases. The therapist will choose a desired number of<br> sequences according to the results of the examination to each patient; hence it is completely patient<br> dependent.<br> Once the therapist finishes the particular design of the stimuli sequence, the software<br> automatically displays a window where he can save the customized patient-specific details for future<br> use as a text file.</p>
Instantaneous, three-dimensional velocity fields past a bio-prosthetic aortic valve measured in-vitro with tomographic particle image velocimetry.
<p>Each folder contains instantaneous, three-dimensional velocity vector data obtained in a simplified model of the aortic root with a distinct size and geometry (small, medium, large, and sinus-less). The specific geometry of each aortic root model is contained in the corresponding folder.</p> <p>The velocity data is structured in the following way: Two separate folders for velocity data in the "ascending aorta" domain (AAo) and in the "sinus of Valsalva" domain (SOV). Each domain contains velocity datasets for instances t=0.00, 0.03, 0.06, ..., 0.39 s (t000, t003, t006, ..., t039). Each velocity dataset contains N=16 phase-locked instantaneous 3D velocity fields.</p> <p>The data was acquired using tomographic particle image velocimetry and a custom built hydraulic setup capable of replicating normal physiological flow conditions in the human aorta (heart rate = 72 bpm, cardiac output = 4.8 l)</p> <p>Data format:</p> <p>- aortic root geometry: STL (the geometry is provided with respect to the reference frame of the velocity data)</p> <p>- velocity data: NPY (NumPy), shape= (N_nodes, 6), columns contain X, Y, Z, U, V, W data, where U, V, W are the X, Y, Z components of the instantaneous vector field</p>
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.