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207 results for “tanks”
Figure 2 in Underestimated diversity and range size of diving beetles in tank bromeliads-Coleoptera of 'hygrofloric' lifestyle (Dytiscidae)
Figure 2. Male genitalia of Copelatus. A, C. bimaculatus (Santo Amaro da Imperatriz). B, C. bimaculatus (Nova Friburgo). C, C. bromeliarum (El Tucuche). D, C. bromeliarum (Henri Pittier). E, C. espinhasso (holotype). F, C. florae (Alto de Piedra). G, C. florae (Manaus). H, C. panguana (holotype). a, median lobe in lateral view. b, median lobe in ventral view. c, paramere. Scale bar = 1.0 mm.
Figure 4 in Underestimated diversity and range size of diving beetles in tank bromeliads-Coleoptera of 'hygrofloric' lifestyle (Dytiscidae)
Figure 4. Habitus of bromeliadicolous Copelatus. A, C. florae (holotype). B, instar III larva of C. florae (Alto de Piedra). C, C. florae (Manaus). D, C. panguana (holotype). Scale bar = 2.0 mm.
Supplemental material: The microbiota of ensiled forages and of bulk tank milk on dairy cattle farms in northern Sweden - a case study
<p>Supplemental Figures.</p>
Wave field in a wind and paddle tank: effect of a thin surface layer of fish oil
<p>Video showing the surface elevation field in a wind- and paddle-wave tank in clean water condition (tap water) and in water covered with a thin layer of fish oil. Reference wind speed 8 m/s and JONSWAP-like paddle spectrum (Hs = 0.062 cm, Tp =1.0 s) Experiments carried out in the flume of the First Institute of Oceanography (Qingdao, P.R. China).</p>
Wave field in a wind tank: effect of a thin surface layer of fish oil.
<p>Video showing the surface elevation field in a wind-wave tank in clean water condition (tap water) and in water covered with a thin layer of fish oil. Reference wind speed 6 m/s. Experiments carried out in the flume of the First Institute of Oceanography (Qingdao, P.R. China).</p>
FIGURE 2. Bromeliad species sampled. A in Ciliate species from tank-less bromeliads in a dry tropical forest and their geographical distribution in the Neotropics
FIGURE 2. Bromeliad species sampled. A=Tillandsia dasyliriifolia, B=T. rothii, C=Bromelia pinguin, D=T. polystachia and E=B. karatas.
FIGURE 3. a–p in Ciliate species from tank-less bromeliads in a dry tropical forest and their geographical distribution in the Neotropics
FIGURE 3. a–p. Ciliate from tank-less bromeliads in vivo (a, c, f, h, i, l), silver nitrate impregnation (e, j, k, n, o, p), protargol impregnation (b, d, m) and nigrosine (g). a. Spathidium spathula, b. Pattersoniella vitiphila, c. Gonostomum bromelicola, d. Drepanomonas revoluta, e. D. minuta, f. Bresslauides terricola, g. Colpoda cucullus, h. Epistylis sp., i. Vorticella sp., j. C. maupasi, k. Colpoda aspera, l. Leptopharynx costatus, m. Phacodinium metchnikoffi, n. Cyclidium glaucoma, o. Odontochlamys gouraudi, p. Tetrahymena sp. Scale bar: 10 µm. 20 X (f), 40 X (a, b, c, g, h, i, j, l, m, p), 100 X (d, e, k, n, o).
Zebrafish tracked in a circular tank
<p>Positions of zebrafish groups (2, 3, 4, 5, 6, 7, 8, 9, 10, 15, 20 and 25 individuals) tracked in a circular tank (2m diameter). </p>
Fig. 1 Rearing tanks. a 15-l in The marbled goby, Pomatoschistus marmoratus, as a promising species for experimental evolution studies
Fig. 1 Rearing tanks. a 15-l tanks with closed bottom in which larvae were maintained during the first 25 dph. b 15-l tanks, equipped with an open bottom covered with crinoline net. Larvae were transferred in these tanks at 100 dph. c 40-l tanks with sandy bottom in which larvae were maintained from 100 dph onward
Free surface evolution from numerical wave tank simulations - Experiment W6N5D5
<p>An ensemble of two-dimensional numerical wave tank (NWT) simulations of breaking and non-breaking wave packets. The NWT uses the Gerris software package, a two-phase Navier-Stokes solver that utilises the volume-of-fluid method and explicitly models viscosity and surface tension effects. It is configured in non-dimensional coordinates scaled by the length and time characteristics of a deep-water wave with wavelength 1 m. This dataset contains simulations from experiment W6N5D5 (wind forcing speed equal to 6 times the wave speed, chirped wave packet with 5 waves in the packet signal, deep water) and forms part of an ensemble of experiments available <a href="https://doi.org/10.5281/zenodo.12797829" target="_blank" rel="noopener">here</a>. A full description of the NWT is provided in:</p> <p><a href="https://doi.org/10.1017/jfm.2023.134" target="_blank" rel="noopener">Boettger, D. G., Keating, S. R., Banner, M. L., Morison, R. P., & Barthelemy, X. (2023). An energetic signature for breaking inception in surface gravity waves. Journal of Fluid Mechanics, 959, A33.</a></p> <p><a href="https://doi.org/10.1103/PhysRevFluids.9.054803" target="_blank" rel="noopener">Boettger, D. G., Keating, S. R., Banner, M. L., Morison, R. P., & Barthelemy, X. (2024). Energetic inception of breaking in surface gravity waves under wind forcing. Physical Review Fluids, 9 (5), 054803.</a></p>
Free surface evolution from numerical wave tank simulations - Experiment W0N5D2
<p>An ensemble of two-dimensional numerical wave tank (NWT) simulations of breaking and non-breaking wave packets. The NWT uses the Gerris software package, a two-phase Navier-Stokes solver that utilises the volume-of-fluid method and explicitly models viscosity and surface tension effects. It is configured in non-dimensional coordinates scaled by the length and time characteristics of a deep-water wave with wavelength 1 m. This dataset contains simulations from experiment W0N5D2 (Zero wind forcing, chirped wave packet with 5 waves in the packet signal, intermediate water depth) and forms part of an ensemble of experiments available <a href="https://doi.org/10.5281/zenodo.12797829" target="_blank" rel="noopener">here</a>. A full description of the NWT is provided in:</p> <p><a href="https://doi.org/10.1017/jfm.2023.134" target="_blank" rel="noopener">Boettger, D. G., Keating, S. R., Banner, M. L., Morison, R. P., & Barthelemy, X. (2023). An energetic signature for breaking inception in surface gravity waves. Journal of Fluid Mechanics, 959, A33.</a></p> <p><a href="https://doi.org/10.1103/PhysRevFluids.9.054803" target="_blank" rel="noopener">Boettger, D. G., Keating, S. R., Banner, M. L., Morison, R. P., & Barthelemy, X. (2024). Energetic inception of breaking in surface gravity waves under wind forcing. Physical Review Fluids, 9 (5), 054803.</a></p>
Free surface evolution from numerical wave tank simulations - Experiment W0N5D5
<p>An ensemble of two-dimensional numerical wave tank (NWT) simulations of breaking and non-breaking wave packets. The NWT uses the Gerris software package, a two-phase Navier-Stokes solver that utilises the volume-of-fluid method and explicitly models viscosity and surface tension effects. It is configured in non-dimensional coordinates scaled by the length and time characteristics of a deep-water wave with wavelength 1 m. This dataset contains simulations from experiment W0N5D5 (Zero wind forcing, chirped wave packet with 5 waves in the packet signal, deep water) and forms part of an ensemble of experiments available <a href="https://doi.org/10.5281/zenodo.12797829" target="_blank" rel="noopener">here</a>. A full description of the NWT is provided in:</p> <p><a href="https://doi.org/10.1017/jfm.2023.134" target="_blank" rel="noopener">Boettger, D. G., Keating, S. R., Banner, M. L., Morison, R. P., & Barthelemy, X. (2023). An energetic signature for breaking inception in surface gravity waves. Journal of Fluid Mechanics, 959, A33.</a></p> <p><a href="https://doi.org/10.1103/PhysRevFluids.9.054803" target="_blank" rel="noopener">Boettger, D. G., Keating, S. R., Banner, M. L., Morison, R. P., & Barthelemy, X. (2024). Energetic inception of breaking in surface gravity waves under wind forcing. Physical Review Fluids, 9 (5), 054803.</a></p>
Free surface evolution from numerical wave tank simulations - Experiment W0N9D5
<p>An ensemble of two-dimensional numerical wave tank (NWT) simulations of breaking and non-breaking wave packets. The NWT uses the Gerris software package, a two-phase Navier-Stokes solver that utilises the volume-of-fluid method and explicitly models viscosity and surface tension effects. It is configured in non-dimensional coordinates scaled by the length and time characteristics of a deep-water wave with wavelength 1 m. This dataset contains simulations from experiment W0N9D5 (Zero wind forcing, chirped wave packet with 9 waves in the packet signal, intermediate water depth) and forms part of an ensemble of experiments available <a href="https://doi.org/10.5281/zenodo.12797829" target="_blank" rel="noopener">here</a>. A full description of the NWT is provided in:</p> <p><a href="https://doi.org/10.1017/jfm.2023.134" target="_blank" rel="noopener">Boettger, D. G., Keating, S. R., Banner, M. L., Morison, R. P., & Barthelemy, X. (2023). An energetic signature for breaking inception in surface gravity waves. Journal of Fluid Mechanics, 959, A33.</a></p> <p><a href="https://doi.org/10.1103/PhysRevFluids.9.054803" target="_blank" rel="noopener">Boettger, D. G., Keating, S. R., Banner, M. L., Morison, R. P., & Barthelemy, X. (2024). Energetic inception of breaking in surface gravity waves under wind forcing. Physical Review Fluids, 9 (5), 054803.</a></p>
Free surface evolution from numerical wave tank simulations - Experiment W1N5D5
<p>An ensemble of two-dimensional numerical wave tank (NWT) simulations of breaking and non-breaking wave packets. The NWT uses the Gerris software package, a two-phase Navier-Stokes solver that utilises the volume-of-fluid method and explicitly models viscosity and surface tension effects. It is configured in non-dimensional coordinates scaled by the length and time characteristics of a deep-water wave with wavelength 1 m. This dataset contains simulations from experiment W1N5D5 (wind forcing speed equal to wave speed, chirped wave packet with 5 waves in the packet signal, deep water) and forms part of an ensemble of experiments available <a href="https://doi.org/10.5281/zenodo.12797829" target="_blank" rel="noopener">here</a>. A full description of the NWT is provided in:</p> <p><a href="https://doi.org/10.1017/jfm.2023.134" target="_blank" rel="noopener">Boettger, D. G., Keating, S. R., Banner, M. L., Morison, R. P., & Barthelemy, X. (2023). An energetic signature for breaking inception in surface gravity waves. Journal of Fluid Mechanics, 959, A33.</a></p> <p><a href="https://doi.org/10.1103/PhysRevFluids.9.054803" target="_blank" rel="noopener">Boettger, D. G., Keating, S. R., Banner, M. L., Morison, R. P., & Barthelemy, X. (2024). Energetic inception of breaking in surface gravity waves under wind forcing. Physical Review Fluids, 9 (5), 054803.</a></p>
Insect-based feed formulations for aquaculture largemouth bass in smart tanks and influence on the health and quality of its meat
<p>The FIT-BASS Project aims to define a black soldier fly-based feed formulation with high<br>nutritional and health value for aquaculture largemouth bass reared in smart tanks.</p>
Lattice Boltzmann simulations on the tumbling to tank-treading transition: effects of membrane viscosity
<p>The tumbling to tank-treading (TB-TT) transition for red blood cells (RBCs) has been widely investigated, with a main focus on the effects of the viscosity ratio λ (i.e., the ratio between the viscosities of the fluids inside and outside the membrane) and the shear rate γ ̇ applied to the RBC. However, the membrane viscosity μm plays a major role in a realistic description of RBC's dynamics, and only a few works have systematically focused on its effects on the TB-TT transition. In this work, we provide a parametric investigation on the effect of membrane viscosity μm on the TB- TT transition, for a single RBC. It is found that, at fixed viscosity ratios λ, larger values of μm lead to an increased range of values of capillary number at which the TB-TT transition occurs. We systematically quantify such an increase by means of mesoscale numerical simulations based on the lattice Boltzmann models.</p>
Mesh data for multi-impeller mixing performance prediction in stirred tanks using mean age theory approach
<p>The upload files include mesh data for all configurations studied in the research: multi-impeller mixing performance prediction in stirred tanks using mean age theory approach.</p>
Ventura project....Tank
good elevation for cow watering hole Source: Objaverse 1.0 / Sketchfab
tank - recap 360 AutoDesk(50 foto limit)
Source: Objaverse 1.0 / Sketchfab
AMX-13 SM1 Tank - National Museum SG Display
"2022 marks the 80th anniversary of the British Surrender to the Imperial Japan Army on 15 February 1942. The next day, the Japanese army organised a procession of tanks that took part in the invasion to parade past City Hall to commemorate the occupation of the island. <br> <br> Twenty-seven years later, four years after Singapore's independence, the first tanks of the Singapore Armed Forces (SAF) paraded past City Hall during the National Day Parade in 1969. The French-made AMX-13 tanks led the mobile column and had a lasting impression on the spectators and general public. These tanks signified the fortitude, indomitable will and fighting spirit of our fledgling nation, and demonstrated the SAF's defence capability and the role of national servicemen during this period of newly-independent Singapore's history. <br> <br> In 1988, the AMX-13 tank was upgraded to the AMX-13 SM1 tank to improve its efficiency and cost-effectiveness. This decommissioned is on special display at National Museum Singapore." Source: Objaverse 1.0 / Sketchfab
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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.