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391 results for “Roughness”
Distribution. NE & CE Madagascar, found roughly from the Anjanaharibe-Sud Special Reserve in the N to the Anosibe an'ala Classified Forest in the S. in Indriidae
Distribution. NE & CE Madagascar, found roughly from the Anjanaharibe-Sud Special Reserve in the N to the Anosibe an'ala Classified Forest in the S.
Distribution. France (roughly W of Massif Central and S of Loire River), Andorra, and N & NE Spain (from E Cantabria to E Pyrenees). in Cricetidae
Distribution. France (roughly W of Massif Central and S of Loire River), Andorra, and N & NE Spain (from E Cantabria to E Pyrenees).
Subspecies and Distribution. P.r.rubicundaS.Miller,1838—Borneo(SEKalimantan,roughlySoftheMahakamRiverandEoftheBaritoRiver). P.r.carimataeG.S.Miller,1906—KarimataI,offWBorneo. P.r.chryseaDavis,1962—NEBorneo,confinedtoaverysmallareainESabahStatenearKinabatangan. P.r.ignitaDollman,1909—Borneo,inSarawakState,fromtheBaramRiverattheborderswithBrunei,andinKalimantanStotheKapuasRiver;possiblyinBrunei. P. r. rubida Lyon, 1911 — Borneo (SW Kalimantan, roughly S of the Kapuas River and W of the Barito River). in Cercopithecidae
Subspecies and Distribution. P.r.rubicundaS.Miller,1838—Borneo(SEKalimantan,roughlySoftheMahakamRiverandEoftheBaritoRiver). P.r.carimataeG.S.Miller,1906—KarimataI,offWBorneo. P.r.chryseaDavis,1962—NEBorneo,confinedtoaverysmallareainESabahStatenearKinabatangan. P.r.ignitaDollman,1909—Borneo,inSarawakState,fromtheBaramRiverattheborderswithBrunei,andinKalimantanStotheKapuasRiver;possiblyinBrunei. P. r. rubida Lyon, 1911 — Borneo (SW Kalimantan, roughly S of the Kapuas River and W of the Barito River).
Numerical data for dynamic rupture simulations of coseismic slickenlines on non-planar and rough faults
<p>Numerical data used to make Figures in the manuscript entitled "Dynamic simulations of coseismic slickenlines on non-planar and rough faults (Aoki et al., GJI)"</p>
Influence of Inner Surface Roughness on the SIP Response - a Numerical Study
<p>Supporting data for publication</p> <p>This repository contains Matlab scripts, Comsol Multiphysics models, and numerical simulation data used to generate the plots in the manuscript. Comsol models are those with the <em>.mph</em> extension and were created with Comsol Multiphysics v 5.5. All numerical data used in the manuscript is available without running the Comsol simulation.</p>
Rough Mask
A rough mask made in sculptris Source: Objaverse 1.0 / Sketchfab
Supplementary material 1 from: Lambert SM, Hutter CR, Scherz MD (2017) Diamond in the rough: a new species of fossorial diamond frog (Rhombophryne) from Ranomafana National Park, southeastern Madagascar. Zoosystematics and Evolution 93(1): 143-155. https://doi.org/10.3897/zse.93.10188
File S1 : Explanation note: This file contains a PDF-embedded interactive 3D model of the skeleton of the holotype of Rhombophryne nilevina sp. n., KU 340897, generated via X-ray micro-Computed Tomography. The model can be opened in Adobe® Acrobat Pro or Reader, versions IX and above. To activate it, click the image.
FIGURE 1 in A diamond in the rough desert shrublands of the Great Basin in the Western United States: A new cryptic toad species (Amphibia: Bufonidae: Bufo (Anaxyrus)) discovered in Northern Nevada
FIGURE 1. Sampling localities of populations included for morphological (a) and DNA (b) collections within the hydrological Great Basin and surrounding states. a) Colors indicate species-specific populations measured for morphological analysis. b) Colors correspond with localized species and B. boreas colors correspond with major mtDNA haplotype clades (ONV- Oregon- NW Nevada (yellow), HL-Humboldt-Lahontan (blue), M-Mojave (aqua)) identified in Tracy et al. (in progress) molecular study of B. boreas diversity. Maps created using ArcGIS software by ESRI (2011: Release 10).
FIGURE 5 in A diamond in the rough desert shrublands of the Great Basin in the Western United States: A new cryptic toad species (Amphibia: Bufonidae: Bufo (Anaxyrus)) discovered in Northern Nevada
FIGURE 5. Discriminant function analysis (DFA). Cross validated DFA using 14 size corrected morphological characters measured from 380 live adult toads (Fig. 1a) examined within the hydrological Great Basin Bufo (Anaxyrus) boreas species complex. Species identified as B. boreas (red circle), B. nelsoni (blue diamond), B. exsul (green circle), and B. williamsi (yellow square).
FIGURE 4 in A diamond in the rough desert shrublands of the Great Basin in the Western United States: A new cryptic toad species (Amphibia: Bufonidae: Bufo (Anaxyrus)) discovered in Northern Nevada
FIGURE 4. Photographs of Bufo (Anaxyrus) williamsi sp. nov. holotype (CAS 259271). Adult male toad presented live: (a) dorsal view and (b) ventral view; and preserved: (c) dorsal view and (d) ventral view. Photographs taken by M.R.Gordon.
FIGURE 3 in A diamond in the rough desert shrublands of the Great Basin in the Western United States: A new cryptic toad species (Amphibia: Bufonidae: Bufo (Anaxyrus)) discovered in Northern Nevada
FIGURE 3. Molecular examination of Bufo (Anaxyrus) boreas species complex.The TCS haplotype network was constructed using 246 sequences (1622 aligned sites) obtained from toad sampling (Fig.1b) resulting in 72 unique haplotypes, with circle sizes corresponding with the number of individuals of a particular haplotype. Haplotype colors correspond geographically (Fig. 1b) and to localized species (B. canorus (purple), B. exsul (green) and B. nelsoni (orange)) and highlight the genetic divergence of B. williamsi (red). The condensed phylogeny identifying Great Basin Bufo (Anaxyrus) boreas species complex major haplotype clades: maximum likelihood of 10 samples (1436 aligned sites) using GTR +G+I evolutionary model. The terminals are identified by taxon name and followed by locality of collection for B. boreas. Bufo williamsi, noted with a red circle, is sister to boreas of the HL clade. Heavy bars correspond with major haplotype clades.
FIGURE 2 in A diamond in the rough desert shrublands of the Great Basin in the Western United States: A new cryptic toad species (Amphibia: Bufonidae: Bufo (Anaxyrus)) discovered in Northern Nevada
FIGURE 2. Bufo (Anaxyrus) boreas species complex distribution. a) Bufo (Anaxyrus) boreas distribution (shown in brown) across the Western United States with hydrological Great Basin shown with black outline and hash mark interior; b) Bufo (Anaxyrus) boreas species complex and ranges for toads including new species, illustrating the narrow distribution of localized endemics. Spatial data for all toads except B. williamsi provided by IUCN (2015). Images taken by M.R.Gordon except B. canorus with photo credit to G. Nafis.
FIGURE 6 in A diamond in the rough desert shrublands of the Great Basin in the Western United States: A new cryptic toad species (Amphibia: Bufonidae: Bufo (Anaxyrus)) discovered in Northern Nevada
FIGURE 6. Major and minor groups identified: Bayesian inference phylogenetic tree constructed from analyses from unique haplotype sequences of 1622bp fragment of the control region of the mitochondrial genome (Fig. 1b; n = 308). Posterior probabilities are shown. Haplotype number (n = 72) and sampling locality comprise terminal ends of tree and two haplotypes of the root are shown. Minor groups include localized species: Bufo (Anaxyrus) nelsoni (green), B. exsul (orange), B. canorus (purple), B. williamsi (red) and undescribed divergent species (black). Large bars identify major groups, which include populations of B. boreas, sampled within the hydrological Great Basin (Fig. 1b).
MFMET A3.2.7 Documented example of surface roughness measurements
<p><span>Supplementary material to MFMET A3.2.7 Documented example of surface roughness measurements<br></span></p>
Biofilm flow data from: Roughness effects of diatomaceous slime fouling on turbulent boundary layer hydrodynamics
<p>This dataset contains the instantaneous velocity vector fields as well as the time averaged velocity and turbulence fields from PIV data taken over a large acrylic plate fouled with a relatively uniform diatomaceous biofilm. </p> <p>See associated article, Roughness effects of diatomaceous slime fouling on turbulent boundary layer hydrodynamics, for methods description.</p> <p>Time averaged velocity and turbulence fields data are stored in the file velocity_fields.mat, which contains the following variables: </p> <p>X: The streamwise distance of each column in the velocity field matrices [mm]</p> <p>Y: The vertical distance (from the bottom of the frame) of each row in the velocity field matrices [mm]</p> <p>U: Time averaged streamwise velocity [m s^-1]</p> <p>V: Time averaged vertical velocity [m s^-1]</p> <p>tke: Time averaged turbulent kinetic energy [m^2 s^-2]</p> <p>u': Time averaged streamwise Reynolds stress [m^2 s^-2]</p> <p>v': Time averaged vertical Reynolds stress [m^2 s^-2]</p> <p>u'v': Time averaged Reynolds shear stress [m^2 s^-2]</p> <p>The zip file biofilm_vector_fields contains the 4,000 statistically independent velocity vector fields used to compute the time averaged velocity and turbulence fields. The vector field data is in the variable labeled matr. Size calibration: 2302 pixels/ inch (906.3 pixels/ cm). </p> <p>Column 1: X (streamwise distance in [pixels]) </p> <p>Column 2: Y (wall-normal distance from bottom of frame in [pixels])</p> <p>Column 3: U (streamwise velocity vector in [pixels / 250 microseconds]) </p> <p>Column 4: V (vertical velocity vector in [pixels / 250 microseconds]) </p> <p>Column 5: CHC (number of tracked particles. A value < 1 gives the location of the biofilm, which was masked out)</p> <p>Column 6: U2 </p> <p>Column 7: V2</p> <p>Column 8: U3</p> <p>Column 9: V3</p> <p>Column 10: U4</p> <p>Column 11: V4</p>
Data from the 'The Global Surface Roughness of 433 Eros from the NEAR Laser Rangefinder'
<p>See README.pdf to read the documentation of data.</p>
Data sets for the Publication 'Analytical solution of gas flow in rough-walled micro-fracture at in-situ state' in Water Resources Research.
<p>Data sets for the Publication 'Analytical solution of gas flow in rough-walled micro-fracture at in-situ state' in Water Resources Research.</p>
Neural correlates of top-down modulation of haptic shape versus roughness perception
<p>Exploring an object’s shape by touch also renders information about its surface roughness. It has been suggested that shape and roughness are processed distinctly in the brain, a result based on comparing brain activation when exploring objects that differed in one of these features. To investigate the neural mechanisms of top-down control on haptic perception of shape and roughness, we presented the same multidimensional objects but varied the relevance of each feature. Specifically, participants explored two objects that varied in shape (oblongness of cuboids) and surface roughness. They either had to compare the shape or the roughness in an alternative-forced-choice-task. Moreover, we examined whether the activation strength of the identified brain regions as measured by functional magnetic resonance imaging (fMRI) can predict the behavioral performance in the haptic discrimination task. We observed a widespread network of activation for shape and roughness perception comprising bilateral pre- and postcentral gyrus, cerebellum, and insula. Task-relevance of the object’s shape increased activation in the right supramarginal gyrus (SMG/BA40) and the right precentral gyrus (PreCG/BA44) suggesting that activation in these areas does not merely reflect stimulus-driven processes, such as exploring shape, but also entails top-down controlled processes driven by task-relevance. Moreover, the strength of the SMG/PreCG activation predicted individual performance in the shape but not in the roughness discrimination task. No activation was found for the reversed contrast (roughness > shape). We conclude that macrogeometric properties, such as shape, can be modulated by top-down mechanisms whereas roughness, a microgeometric feature, seems to be processed automatically.</p>
Judged Roughness as a Function of Groove Frequency and Groove Width in 3D-Printed Gratings
<p>For different types of textures judged roughness has been shown to be an inverted U-shaped function of inter-element spacing when texture amplitude is low. This may be due to an interplay of two “components” that contribute to the skin’s spatial deformation, and thus to a spatial-intensive code to roughness: (1) deformation increases with the depth of the finger’s intrusion between elements, which increases with inter-element spacing until the finger contacts the ground; and (2) skin deformation decreases with a decreasing number of inter-element gaps being simultaneously under the skin, i.e. with the texture’s spatial frequency (which is negatively correlated with inter-element spacing). The present study systematically tested these ideas. We presented participants different series of 3D-printed rectangular grating stimuli, in which the width of the grating’s grooves varied and the spatial frequency of grooves was constant, or vice versa. Participants touched the stimuli without lateral movement and judged roughness using magnitude estimation. As predicted and previously observed, judged roughness increased with groove width and groove frequency. However, the predicted increase with groove frequency, was only found for frequencies below about 0.5 mm<sup>−1</sup>. For larger frequencies, roughness decreased with increasing frequency. The decrease is at odds with findings from earlier studies that used aluminum rather than plastic gratings. The results corroborate the assumption that the area of skin deformation plays a crucial role for roughness, but at the same time, point to the influence of subtle differences between materials that should be investigated in the future.</p>
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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.