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Figure 13 in 'Endless forms most beautiful': taxonomic revision of the planarian Geoplana vaginuloides (Darwin, 1844) and discovery of numerous congeners (Platyhelminthes: Tricladida)
Figure 13. Geoplana paranapiacaba Almeida & Carbayo sp. nov. A, diagrammatic representation of the copulatory apparatus of specimen MZUSP PL 2079 from sagittal sections. B, photomicrograph of a sagittal section of the copulatory apparatus of specimen MZUSP PL 2079. C, photomicrograph of a sagittal section of the penis papilla tip of specimen MZUSP PL 2079. D, photomicrograph of posterior section of female atrium of specimen MZUSP PL 2079.
Development of a dense cratonic keel prior to the destruction of the North China Craton: Constraints from sedimentary records and numerical simulation
<p>This file is created for Liu et al. (2019) -- ‘<em>Development of a dense cratonic keel prior to the destruction of the North China Craton: Constraints from sedimentary records and numerical simulation</em>’. The folder 'mutils-0.2' contains the quick search algorithm tsearch2 (Mutilspackage:http://milamin.sourceforge.net/downloads)</p>
Fracture unclogging numerical results
<p>Q_angle_freq... files contain attenuation values shown in Figs.5 to 9 tau_vs_angle... files contain attenuation values shown in Figs.5 to 9</p>
Effective anisotropic and viscoelastic representation of gas-hydrate bearing sediments from harmonic numerical experiments
<p>The data are the binary patchy gas-hydrate contents and Lamé shear coefficient.</p>
The beneficial role of stratigraphy on slope stabilization by drainage trenches: results of FEM numerical analyses.
<p>Slope stabilization through drainage trenches is a classic approach in geotechnical engineering. Considering the low hydraulic conductivity of the soils in which this measure is usually adopted, a major constraint to the use of trenches is the time required to obtain a significant pore pressure decrease, here called “time lag”. In fact, especially when the slope safety factor is small, the use of drainage trenches may be a chancy approach due to the probability that slope deformations will damage the system well before it will become fully operative.</p> <p>However, this paper shows that the presence of persistent pervious natural soil layers in the slope can provide a significant benefit by increasing drainage efficiency and reducing time lag. As a matter of fact, any pervious layer that is intercepted by trenches may operate as part of the global hydraulic system, reducing the drainage paths.</p> <p>A simplified approach to design a drainage system accounting for the presence of a persistent pervious layer is proposed. This approach, which can exploit solutions available in literature for parallel drainage trenches, has been validated by numerical analyses.</p>
Numerical data pertaining to phase-field simulations of quartz cementation in polycrystalline sandstones
<p>The numerical data in this repository pertains to the simulation results of quartz cementation in polycrystalline sandstones. The simulations were performed using the software package named "Pace3D version 2.5.1". The software license can be purchased at Steinbeis Network (www.steinbeis.de) in the management of Britta Nestler and Michael Selzer under the subject area ‘Material Simulation and Process Optimization’. </p> <p>The data is organized, the way it appears in the figures in the manuscript. Thus, the folders are named according to the figure number in the manuscript. Each folder contains a separate ReadMe.dat file, which contains all the information regarding the data present in that folder.</p> <p> </p> <ul> <li> For the sake of convenience, the simulation data that comprises the pictures is converted to .stl and .vtk format, for visualization using open source software packages like Paraview and MeshLab.</li> <li>The original complete output data is in the formats (e.g. *.phiindex.p3s, *.fluiddynamics_velocity.p3v etc.) which can be visualized using the in-house visualization tools GLviewer and XSimview.</li> <li>The data presented in plots is extracted from the simulation output using the post-processing tool chain of "Pace3D".</li> </ul> <p> </p>
FIGURE 4 in A combined phylogenetic and numerical taxonomic study of Matthiola montana and M. anchoniifolia (Brassicaceae)
FIGURE 4. Phylogenetic relationships within Matthiola inferred from maximum likelihood (ML) analysis based on the nuclear internal transcribed spacer (ITS) region. Outgroups and monophyletic taxa are indicated. Bootstrap values (BS> 50%)/posterior probabilities (PP> 0.5) are shown above and below branches (please note that some support values have been removed for the sake of simplicity of the figure).
FIGURE 3. a in A combined phylogenetic and numerical taxonomic study of Matthiola montana and M. anchoniifolia (Brassicaceae)
FIGURE 3. a) Results of the UPGMA dendrogram generated with Gower's distance matrix showing the phenetic relationships among the montana complex. M. anchoniifolia type locality samples are indicated with asterisks. b) Principal coordinate analysis (PCoA) scatter plot displaying the degree of affinity among the components of the montana complex.
FIGURE 2 in A combined phylogenetic and numerical taxonomic study of Matthiola montana and M. anchoniifolia (Brassicaceae)
FIGURE 2. Digital image of some morphological characters of Matthiola montana. A) Sepals, B) petal, C) stamens and pistil, D) stamens, E) stigma, F) fruit, G) seeds in fruit, H) seeds.
FIGURE 5 in A combined phylogenetic and numerical taxonomic study of Matthiola montana and M. anchoniifolia (Brassicaceae)
FIGURE 5. Geographic distribution of M. montana. Red dots represent all presence records. Purple and green dots indicate the type localities of M. anchoniifolia and M. montana, respectively. The highlighted yellow area denotes the Anatolian diagonal.
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>
DLR AS TEA Configuration B1 Numerical Simulation Database
<p>This database contains the results of the numerical simulations conducted in the framework of WP5.4 by DLR AS TEA. See README file for the description of the cases simulated.</p>
DLR AS TEA Configuration A1 and A2 Numerical Simulation Database
<p>This database contains the results of the numerical simulations conducted in the framework of WP5.2 by DLR AS TEA. See README file for the description of the cases simulated.</p>
FIGURES 3–8. Specimen LAF 6956A, vegetative anatomy. FIG. 3. Thallus habit with numerous protuberances. Scale bar 9 in Sporolithon sinusmexicanum sp. nov. (Sporolithales, Rhodophyta): a new rhodolith-forming species from deepwater rhodolith beds in the Gulf of Mexico
FIGURES 3–8. Specimen LAF 6956A, vegetative anatomy. FIG. 3. Thallus habit with numerous protuberances. Scale bar 9 mm. FIG. 4. Surface view (upper bracket) and vertical fracture showing new vegetative layer (middle bracket) over older layer (lower bracket). Scale bar 176 μm. FIG. 5. Secondary hypothallium (upper bracket) over older vegetative layer (lower bracket). Scale bar 52 μm. FIG. 6. Perithallium showing cell fusions (arrows). Scale bar 34 μm. FIG. 7. Perithallium (lower bracket), epithallium (upper bracket) and intercalary meristem (arrow). Scale bar 24 μm. FIG. 8. Meristematic cells (M) and armored epithallial cells (arrows) with intact cell roofs (circle pointers). Scale bar 11 μm.
FIGURES 18–23. Specimen LAF 6970B. FIG. 18. Thallus habit showing numerous protuberances. Scale bar 6 in Sporolithon sinusmexicanum sp. nov. (Sporolithales, Rhodophyta): a new rhodolith-forming species from deepwater rhodolith beds in the Gulf of Mexico
FIGURES 18–23. Specimen LAF 6970B. FIG. 18. Thallus habit showing numerous protuberances. Scale bar 6 mm. FIG. 19. Longitudinal section through protuberance showing perithallium with no overgrown tetrasporangial compartments. Scale bar 1.05 mm. FIG. 20. Epithallium (upper arrowhead), intercalary meristem (lower arrowhead) and perithallium (right bracket) showing cell fusions in the xaxis (arrows) and z-axis (circle pointers). Scale bar 4 μm. FIG. 21. Armored epithallial cells (arrows), one showing intact cell roof (circle pointer), and meristematic cells (M). Scale bar 14 μm. FIG. 22. Dissecting microscope view of thallus surface showing tetrasporangial sorus (arrow). Scale bar 1 mm. FIG. 23. Perithallium showing unidentified spherical inclusions (arrows), which may be unidentified life history stages of microalgal organisms. Scale bar 43 μm.
FIGURE 80. Cardamine sinuatifolia. A. Flowering plant with numerous leafy rosettes. B in A taxonomic revision of Cardamine L. (Brassicaceae) in New Zealand
FIGURE 80. Cardamine sinuatifolia. A. Flowering plant with numerous leafy rosettes. B. Leafy rosette with inflorescences (scale bar 20 mm). C. Rosette leaves (scale bar 20 mm). D. Rosette leaves (scale bar 10 mm). E. Rosette leaves with strongly sinuate and lobed margins (scale bar 10 mm). F. Flower with four petals. G. Inflorescence with 2-petalled flowers (scale bar 5 mm). H. Flowers buds and apetalous flower (scale bar 2 mm). I. Seeds (scale bar 0.5 mm). Images A, B and F from Foggy Peak, Torlesse Range, Canterbury; C, E and H from Broken River, Craigieburn Range, Canterbury; D and G from Lake Henderson, Nelson; I from CHR 618314.
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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.