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Dataset results
131 results for “Surface Structure”
Deep, shallow and surface fault-zone deformation during and after the 2021 Mw7.4 Maduo, Qinghai, earthquake illuminates fault structural immaturity
<p>These datasets include the postseismic InSAR time series on ascending and descending tracks and the relocated aftershocks (Wang et al., 2021) of the 2021 Maduo earthquake. The details can be found in our JGR paper.</p> <p>Reference</p> <p>Wang, W., Fang, L., Wu, J., Tu, H., Chen, L., Lai, G., & Zhang, L. (2021). Aftershock sequence relocation of the 2021 Ms7. 4 Maduo earthquake, Qinghai, China. Science China Earth Sciences, 64(8), 1371-1380.</p>
Fig. 5 in Surface Structure And Photonic Nanoarchitectures In Scales Of Weevils
Fig. 5. Fotonic nanoarchitectures of scales a) Phyllobius virideaeris.
Fig. 4 in Surface Structure And Photonic Nanoarchitectures In Scales Of Weevils
Fig. 4. Second order surface structure of scales of Phyllobius maculicornis.
Video of surface rendering of internal head structures in Melissotarsus worker ants, specialised for chewing healthy wood.
<p>Ants of the genus<em> Melissotarsus </em>(subfamily Myrmicinae) inhabit tunnel systems excavated in the wood of living trees, where they keep large numbers of symbiotic armoured scale insects (Diaspididae). Tunnelling through healthy wood requires tremendous power. We investigated morphology of the musculoskeletal system of <em>Melissotarsus</em> using X-ray microcomputed tomography and 3D modelling (Khalife et al. 2018).</p> <p>Segmented structures inside one half of the head of a <em>Melissotarsus </em>worker: mandible (pale green; tip cut off); closer muscles of mandible (orange); closer apodeme (red); opener muscles of mandible (light blue); opener apodeme (dark blue); brain and suboesophageal ganglion (brown); tentorium and ventromedial phragma (green).</p> <p><strong>Micro-CT </strong>scans were performed at the Okinawa Institute of Science and Technology Graduate University, Japan<strong>.</strong></p> <p><strong>Segmentation </strong>of the reconstructed image stacks was performed with ITK-SNAP 3.6.0<strong> </strong></p> <p>Khalife A, Keller R, Billen J, Hita Garcia F, Economo E & Peeters C (2018) Skeletomuscular adaptations of head and legs of <em>Melissotarsus</em> ants for tunnelling through living wood. <strong>Frontiers in Zoology</strong> 15: 30. https://doi.org/10.1186/s12983-018-0277-6</p>
Seismic interpretation of key stratigraphic and structural surfaces, and crustal faults within the Galicia 3-D reflection survey
<p>This repository contains all the seismic interpretations utilized for the analysis in the article "<em>Origin of serpentinization patterns beneath the S-reflector detachment fault in the Galicia margin, offshore Spain</em>". </p> <p>The "<em>Surfaces</em>" file contains the CPS-3 shape files of the major stratigraphic and structural surfaces (seafloor, base of post-rift sedimentary strata, base of pre/syn-rift sedimentary strata, base of crystalline basement, S-reflector detachment fault, Moho). The "<em>Faults</em>" file contains the interpretations of the major crustal faults overlying the S-reflector detachment. The "<em>Data</em>" file contains the spatial boundary of where the S-reflector is the crust-mantle boundary, the P-wave velocities of Schuba et al. (2019) and calculated degree of serpentinization (Schuba et al., submitted) based on Christensen's (2004) 200 MPa/200<sup>o</sup>C serpentinite compilation study. </p> <p>All seismic interpretations were carried out on Petrel<sup>TM</sup> versions 2015 and 2017. The seismic reflection volume that was interpreted can be found at https://doi.org/10.1594/IEDA/500151.</p> <p> </p> <p>References: </p> <ul> <li>Christensen, N.I. (2004). Serpentinites, Peridotites, and Seismology. <em>International Geology Review</em>, <em>46</em>(9), 795-816. https://doi.org/10.2747/0020-6814.46.9.795</li> <li>Schuba, C.N., Schuba, J.P. Gray, G.G., and Davy, R.G., (2019). Interface targeted velocity estimation using machine learning. <em>Geophysical Journal International</em>, <em>218</em>(1), 45-56. https://doi.org/10.1093/gji/ggz142</li> <li>Schuba, C.N., Gray, G.G., Morgan, J.K., Schuba, J.P., and Sawyer, D.S., (submitted). Interface targeted velocity estimation using machine learning. <em>Geochemistry, Geophysics, Geosystems.</em></li> </ul>
Ion-specific water structures at a metal surface and its effect on the hydrogen production
<p>Here lies the tabulated data used to create the Figures for the Nature Communications manuscript NCOMMS-23-54843A titled "Ion-specific water structures at a metal surface and its effect on the hydrogen production".</p>
Effect of ion-specific water structures at metal surfaces on hydrogen production
<p>Here lies the tabulated data used to create the Figures for the Nature Communications manuscript NCOMMS-23-54843B titled "Effect of ion-specific water structures at metal surfaces on hydrogen production".</p>
Repository for the Method Article "Oriented artificial nanofibers and laser induced periodic surface structures as substrates for Schwann cells alignment"
<p>Repository containg the underlaying and extended data for the paper "Oriented artificial nanofibers and laser induced periodic surface structures as substrates for Schwann cells alignment".</p>
Data from: High-speed surface reconstruction of a flying bird using structured light
<p>Animal flight requires aerodynamic power, which is challenging to determine accurately <i>in vivo</i>. Existing methods rely on approximate calculations based on wake flow field measurements, inverse dynamics approaches, or invasive muscle physiological recordings. In contrast, the external mechanical work required for terrestrial locomotion can be determined more directly by using a force platform as an ergometer. Based on an extension of the recent invention of the aerodynamic force platform, we now present a more direct method to determine the <i>in vivo</i> aerodynamic power by taking the dot product of the aerodynamic force vector on the wing with the representative wing velocity vector based on kinematics and morphology. We demonstrate this new method by studying a slowly flying dove, but it can be applied more generally across flying and swimming animals as well as animals that locomote over water surfaces. Finally, our mathematical framework also works for power analyses based on flow field measurements.</p>
Retrieving 2D laterally varying structures from multi-station surface wave dispersion curves using multiscale window analysis
<p>Here are the waveform data used in the Geophysical Journal International paper entitled "Retrieving 2D laterally varying structures from multi-station surface wave dispersion curves using multiscale window analysis". The dataset is used for the reader who wants to reproduce the result in the paper.</p>
Velocity models from "Investigation of Martian regional crustal structure near the dichotomy using S1222a surface-wave group velocities"
<p>The isotropic velocity models from joint inversion of Rayleigh- and Love-wave group-velocity measurements of S1222a. The details about these models and the joint inversion are in "Investigation of Martian regional crustal structure near the dichotomy using S1222a surface-wave group velocities" which is submitted to GRL.</p>
Supporting dataset for "Surface energy dynamics and canopy structural properties in intact and disturbed forests in the Southern Amazon"
<p>Supporting dataset for the manuscript “Surface energy dynamics and canopy structural properties in intact and disturbed forests in the Southern Amazon", currently under review in the Journal of Geophysical Research: Biogeosciences.</p>
Response mechanism of residual strength to meso-structure of shear surface in gravelly slip zone of ancient landslide
<p>Response mechanism of residual strength to meso-structure of shear surface in gravelly slip zone of ancient landslide-Original data</p>
Dataset for "Elastocapillary menisci mediate interaction of neighboring structures at the surface of a compliant solid"
<p>This dataset supports the publication 'Elastocapillary menisci mediate interaction of neighboring structures at the surface of a compliant solid' by Lebo Molefe and John M. Kolinski, Physical Review E, (2023). The data are surface profiles of textured surfaces made from the compliant polymer PDMS CY 52-276. Please refer to the publication and its supplemental material for details:</p> <p><a href="https://doi.org/10.1103/PhysRevE.108.L043001">https://doi.org/10.1103/PhysRevE.108.L043001</a></p> <p><strong>Contents</strong></p> <p>Four folders containing the code and data required to produce the figures in the journal article and supplemental material, plus some additional data.</p> <p><strong>NOTE: </strong>The directory '/raw_data/' contains all raw data for the surfaces analyzed, and is rather large in size.<br> Consider leaving this directory out when downloading unless the raw data are needed.</p> <p><strong>Readme</strong></p> <p>A .txt file describing contents of code and datasets.</p> <p><strong>Code</strong></p> <p>Contains Python code to produce Figures 2–5 and 7 in the main text, as well as supplementary Figures 1, 4–6, and 7.</p> <p><strong>Data</strong></p> <p>Contains data needed to plot the figures mentioned above, as well as supporting data.</p> <p>The data includes 20 trials of rheometry measurements on PDMS CY 52-276 from an Anton Para MCR 302 rheometer, performed as detailed in the Supplementary Material.</p> <p><strong>Raw data</strong></p> <p>Contains all raw data (.ASC files produced by Bruker Contour X's Vision64 software) used for the analysis, as well as a metadata file (process_parameters.csv). </p> <p><strong>Plots</strong></p> <p>Contains output of plotting code corresponding to the figures mentioned above.</p>
Oxydation of the chromophore group in Venus66azF. Structures at minima on the potential energy surface.
<p>Minima on the potential energy surface obtained at the QM(PBE0-D3/6-31G*)/MM(AMBER) level.</p> <p>Th reaction path is REAC ->INT1 -> INT2 -> PROD</p>
Data from: Sensing the structural characteristics of surfaces: Texture encoding by a bottom-dwelling fish
<p>The texture of contacted surfaces influences our perception of the physical environment and modulates behavior. Texture perception and its neural encoding mechanisms have traditionally been studied in the primate hand, yet animals of all types live in richly textured environments and regularly interact with textured surfaces. Here we explore texture sensation in a different type of vertebrate limb by investigating touch and potential texture encoding mechanisms in the pectoral fins of fishes, the forelimb homologs. We investigated the pectoral fins of the round goby (<em>Neogobius melanostomus</em>), a bottom-dwelling species that lives on substrate types of varying roughness and whose fins frequently contact the bottom. Analysis shows that the receptive field sizes of fin ray afferents are small and afferents exhibit response properties to tactile motion that are consistent with those of primates and other animals studied previously. In response to a periodic stimulus (coarse gratings), afferents phase lock to the stimulus temporal frequency and thus can provide information about surface texture. These data demonstrate that fish can have the capability to sense the tactile features of their near range physical environment with fins.</p>
Microbial structures in the surface sediments of Shenhu Area, South China Sea-Appendix A. Supporting information
<p>Microbial structures in the surface sediments of Shenhu Area, South China Sea-Appendix A. Supporting information</p>
Virus Capsomer Model [surface structure 3]
PICORNAVIRIDAE – Designing Model and Visualization Concepts in Virology Educational T=3 [and T=pseudo3] Virus Structure Model [assembly unit 07/08] Protein structure [modified] of a hepatitis A virus, projected on a pentagonal pyramid [RCSB PDB: 4QPG] for a more precise surface visualization of a selected picornavirus. Source: Objaverse 1.0 / Sketchfab
FIGURES 10–12. Pyrgeuma pyrgodesmoides, n in Pyrgeuma pyrgodesmoides, n. gen., n. sp., a new millipede from Malaysia with unusual surface structures (Diplopoda, Chordeumatida, Heterochordeumatidae)
FIGURES 10–12. Pyrgeuma pyrgodesmoides, n. sp., male. Fig. 10. Coxites of left ninth legpair (c9) and gonopods (agp), posterior view. Fig. 11. Tip of left gonopod, anterior view. Fig. 12. Lateralmost right metazonital seta of ring 9.
FIGURES 1–3. Pyrgeuma pyrgodesmoides, n in Pyrgeuma pyrgodesmoides, n. gen., n. sp., a new millipede from Malaysia with unusual surface structures (Diplopoda, Chordeumatida, Heterochordeumatidae)
FIGURES 1–3. Pyrgeuma pyrgodesmoides, n. sp., male, dorsal views. Fig. 1. Anterior end. Fig. 2. Posterior end. Fig. 3. Rings 8–10.
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.