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131 results for “Dissipation”
Figure 5 in Small-scale spatial distribution of ghost shrimp and macrobenthic fauna in an Amazon macrotidal dissipative sandy beach
Figure 5. Plot of the principal coordinate analysis (PCoA) of the samples of macrocrobenthic fauna collected from the two areas (Area 1: muddy sediment – next to a tidal channel, Area 2: sandy sediment). The vectors represent species with Spearman correlation values greater than 0.5. Samples from Area 1 and Area 2 were 68.34% dissimilar.
Figure 2 in Small-scale spatial distribution of ghost shrimp and macrobenthic fauna in an Amazon macrotidal dissipative sandy beach
Figure 2. Photography showing the chimneys (elevated, muddy) of agglutinated sediments at the burrow openings of the Lepidophtalmus siriboia tube in the study area.
Figure 1 in Small-scale spatial distribution of ghost shrimp and macrobenthic fauna in an Amazon macrotidal dissipative sandy beach
Figure 1. Map of Algodoal-Maiandeua island showing the study beach (Fortalezinha) and the sample areas (Area 1: muddy sediment – next to a tidal channel, Area 2: sandy sediment).
Figure 3 in Small-scale spatial distribution of ghost shrimp and macrobenthic fauna in an Amazon macrotidal dissipative sandy beach
Figure 3. Mean density (± standard error) of the Lepidophtalmus siriboia burrows in the intertidal zones (HT: high intertidal; MT: mid intertidal; LT: low intertidal) of the study areas (Area 1: muddy sediment – next to a tidal channel, Area 2: sandy sediment). Different letters indicate significant differences (p <0.05); letters indicate the results of Tukey tests for the comparisons between areas (uppercase letters) and among intertidal zones (lowercase letters).
Data: relation between soft tissue energy dissipation and leg stiffness in running at different step frequencies
<p>Data set - paper: <span>Relation between soft tissue energy dissipation and leg stiffness in running at different step frequencies </span></p>
Heating by Dissipation of Energy from Absorbed Light: Molecular Mechanisms Underlying the Survival Strategy of Polar Algae
<p>The original data, which served as the source material for the scientific article on the polar alga <em>Pediastrum orientale, co</em>llected from Reindeer Lake on Spitsbergen. Consists of datasets obtained using various techniques: fluorescence microscopy (microscope_fluo), fluorescence lifetime microscopy (FLIM), high-performance liquid chromatography (HPLC), atomic force microscopy (AFM), Raman microspectroscopy (RAMAN), fluorescence lifitime spectroscopy (lifetime) and fluorescence spectroscopy (Fluo).<br><br>HPLC - Nexera LC-40 (Shimadzu, Japan)<br>FLIM - OLYMPUS IX71 confocal microscope MicroTime 200 with SymPhoTime 64 software package (PicoQuant, GmbH, Germany)<br>RAMAN - inVia Reflex confocal Raman microscope with the WiRE 5.5 software package (Renishaw, UK)<br>AFM - JPK Nanowizard 3 system with JPKSMP data processing software (Bruker, USA)<br>Lifetime - FluoTime 300 spectrometer with FluoFit Pro v 4.5.3.0 (PicoQuant, Germany)<br>Microscope_Fluo - Zeiss LSM980 confocal microscope with Airy2 and Elyra7 detectors and ZEN 3.1 software (Zeiss, Germany)<br>Fluo - OLYMPUS IX71 confocal microscope MicroTime 200 system with the spectrograph SR-163 and the Newton 970 EMCCD camera (Andor Technology)<br><br></p> <p> </p> <p> </p>
Observed and Simulated Surface Wave and Roller Dissipation with Ground Truth Data at the West Coast of Sylt on Sep 27 - Oct 2, 2016
<p>This dataset contains post-processed Doppler marine radar observations and numerical simulations of surface wave and roller dissipation as well as wave energy flux across the surf zone of a double-barred sandy beach at the island of Sylt, Germany.</p> <p>The methodology to obtain dissipation from coherent marine radar data is described in the following article:</p> <p>Streßer, M., Horstmann J., Baschek, B. (2022): Surface Wave and Roller Dissipation Observed with Shore-based Doppler Marine Radar. Manuscript in preparation.</p> <p>The simulations were realized with with the <a href="https://github.com/mstresser/SimpleWaves1D">SimpleWaves1D</a> model using the <a href="https://linkinghub.elsevier.com/retrieve/pii/S0378383907000580">Janssen and Battjes (2007)</a> wave breaking parameterization. The wave buoy data used to force the model was recorded as part of the <a href="https://codm.hzg.de/codm/">COSYNA</a> observation system. The bathymetry transect was generated using the echosounder data of <a href="https://doi.pangaea.de/10.1594/PANGAEA.898407">Cysewski et al. (2019)</a></p> <p>Radar data and and simulation results are re-gridded to a common hourly time grid using nearest neighbor interpolation with the dimension [time x range].</p> <p>Structure of radar observations:</p> <pre><code>CMRgridded = struct with fields: t: [109×1 double] time as Matlab datenum r: [435×1 double] range, i.e. distance from radar antenna [m] cg: [435×109 double] wave group velocity [m/s] cp: [435×109 double] wave phase velocity [m/s] d: [435×109 double] local water depth [m] H_rms_roller: [435×109 double] energy wave height estimated using the roller concept [m] k: [435×109 double] local wave number [rad/m] w: [435×109 double] wave frequency [rad/s] Dr: [435×109 double] roller dissipation [W/m^2] Er: [435×109 double] roller energy [Nm/m^2] Fr: [435×109 double] flux of roller energy [W/m] Dw: [435×109 double] wave dissipation [W/m^2]</code></pre> <p>Structure of the simulation results:</p> <pre><code>SWgridded = struct with fields: t: [109×1 double] timestamp as Matlab datenum r: [435×1 double] range, i.e. distance from radar antenna [m] cg: [435×109 double] wave group velocity [m/s] cp: [435×109 double] wave phase velocity [m/s] d: [435×109 double] local water depth [m] H_rms: [435×109 double] energy wave height [m] E: [435×109 double] wave energy [Nm/m^2] Dr: [435×109 double] roller dissipation [W/m^2] Dw: [435×109 double] wave dissipation [W/m^2] Er: [435×109 double] roller energy [Nm/m^2] Qb: [435×109 double] fraction of breaking waves [-]</code></pre> <p> </p> <p>Ground truth data is available from two bottom mounted pressure wave gauges (PG) located at r=127.5 m (PG<sub>A</sub>) and r=180 m (PG<sub>B</sub>) and a wave rider buoy located at r=1100 m. </p> <p>Structure of the ground truth data;</p> <pre><code>PG = struct with fields: t: [209×1 double] timestamp as Matlab datenum Hs_pg_A: [209×1 double] significant wave height at the pressure gauge A Hs_pg_B: [209×1 double] significant wave height at the pressure gauge B WR = struct with fields: t: [1344×1 double] timestamp as Matlab datenum Hs: [1344×1 double] significant wave height [m] Dirp: [1344×1 double] wave direction at the peak frequency [°] Tp: [1344×1 double] peak period [s] Tmean: [1344×1 double] mean period, or Tm(0,1) [s] Tcross: [1344×1 double] zero-upcross period [s] Sprp: [1344×1 double] directional spread at the peak frequency [°] </code></pre> <p> </p> <p>The data is stored in Matlab<sup>®</sup> v7.3 format. Timestamps are given as Matlab<sup>®</sup> datenum, i.e. whole and fractional number of days from January 0, 0000.</p> <p> </p>
Data for figures: Microresonator Dissipative Kerr Solitons Synchronized to an Optoelectronic Oscillator
<p>This dataset contains the figures and data presented in the paper <Microresonator Dissipative Kerr Solitons Synchronized to an Optoelectronic Oscillator>.</p>
Suppressing Andreev bound state zero bias peaks using a strongly dissipative lead
<p>This repository contains the raw data and processing Python scripts corresponding to the paper "Suppressing Andreev bound state zero bias peaks using a strongly dissipative lead"</p>
Model data and namelists for Sterzinger et al. (2022) - "Do arctic mixed-phase clouds sometimes dissipate due to insufficient aerosol? Evidence from comparisons between observations and idealized simulations"
<p>Model data and namelists for "<a href="https://acp.copernicus.org/preprints/acp-2022-36/">Do arctic mixed-phase clouds sometimes dissipate due to insufficient aerosol? Evidence from comparisons between observations and idealized simulations</a>"</p> <p>Horizontally averaged data is provided in NetCDF4 files (oliktok.nc, ascos.nc, summit.nc) for all output variables. Horizontally averaged vertical momentum flux is provided in a separate file for each simulation (*_vert_momentum_flux.nc files).</p> <p>Info on variables is provided by the RAMS model variable guide PDF <a href="https://vandenheever.atmos.colostate.edu/vdhpage/rams/docs/RAMS-VariableList.pdf">available here</a>.</p> <p>Model namelists are provided for each simulation (*_RAMSIN files). ASCOS initialization sounding info is provided within the ASCOS_RAMSIN file - initialization soundings are provided in SOUND_IN files.</p>
Optimal Sacrificial Domains in Mechanical Polyproteins: S. epidermidis Adhesins Are Tuned for Work Dissipation
<p>Data underlying the figures in the publication: Liu, H. <em>et al</em>. “Optimal Sacrificial Domains in Mechanical Polyproteins: <em>S. epidermidis</em> Adhesins Are Tuned for Work Dissipation” <em>JACS Au</em> <strong>2022</strong> <em>2</em>, 1417-1427, <a href="https://doi.org/10.1021/jacsau.2c00121">https://doi.org/10.1021/jacsau.2c00121</a></p>
Ion friction and quantification of the geomagnetic influence on gravity wave propagation and dissipation in the thermosphere-ionosphere
<p>Data supporting figures 2, 3 and 4 of the manuscript doi:10.1002/2017JA024785<br> </p> <p> </p>
Fig. 2 in Keeping cool: Enhanced optical reflection and radiative heat dissipation in Saharan silver ants
Fig. 2. Reflectivity of the silver ant's body surface from the visible to the MIR range of the spectrum. (A) Hemispherical reflectivity measured in the visible and NIR. (B) Measurement and simulation results showing visible and NIR reflectivity as a function of incidence angle. (C) Cross-sectional view of a two-dimensional distribution of a light field (magnitude of electric field component of light,or |E|) around a triangular hair for three exemplary Mie resonances.(D) Schematic diagram showing the interaction between visible and NIR light and a hair at small (I), intermediate (II), and large (III) incidence angles.The corrugated upper two facets may enhancediffuse reflection inthe ultravioletandvisible ranges.(E)ReflectivitymeasuredintheMIRatnormal incidence.(F)Simulated MIRreflectivity asafunction of incidence angle.
Fig.1 in Keeping cool: Enhanced optical reflection and radiative heat dissipation in Saharan silver ants
Fig.1.The bright glare of the silver ant and its structural basis.(A) Silverantoffloadingheatontopofdryvegetation(18).(B)SEMfrontalviewofthehead densely coveredbyhairs.(C)SEMimageof thehairsgraduallytaperingoff towardthetip.(D)Cross-sectionalviewof thehairsmilledwith FIB.(E)SEMimageof two hairs with one flipped upside down to exhibit the flat bottom facet.
Fig.3 in Keeping cool: Enhanced optical reflection and radiative heat dissipation in Saharan silver ants
Fig.3. Resultsof thermodynamicexperiments. (A) Thermal camera images showing the head of an ant specimen at the thermal steady state un- der different conditions. Temporal temperature profiles measured for the head before and after hair removal in vacuum (B) and in still air (C) are shown.(Dto F) Resultsobtained for thehind part (gaster) of an ant specimen.Insets in (B) and (E) are photos of specimens before and after hair removal.In the "hairs intact" picturesof head and gaster, because of the limited solid angle of illumination,the silvery glance is not shown all over the bodysurface portrayed inthe figures.
Precipitation-induced dissipation limits storm kinetic energy in a warming climate
<p>This zip file contains data and codes to reproduce the figures of a manuscript on precipitation-induced dissipation in X-SHiELD.</p> <p>Contact mbolot@princeton.edu for questions.</p>
Data for critical fluctuations in a confined driven-dissipative quantum condensate
<p>All the raw data sets collected for this project are included in this submission. 'Readme.text' files are included with the data sets explaining what the data sets are and how to read them. </p> <p>We divided the real space data into 8 diifferent files for uploading purposes. We had trouble uploading it as a single file due to the large file size so we divided the data into 8 different files. </p> <p>Files real_space_data_1,real_space_data_2, real_space_data_3, real_space_data_4, real_space_data_5, real_space_data_6,real_space_data_7 and real_space_data_8 are a SINGLE data set. </p>
Data for the article "Elastic strain engineering for ultralow mechanical dissipation"
<p>Device fabrication masks, raw experimental data and data processing scripts</p>
Data associated with a manuscript submitted to Journal of Geophysical Research - Oceans (Wave generation, dissipation, and disequilibrium in an embayment with complex bathymetry
<p>Observations and Model setup associated with a manuscript submitted to Journal of Geophysical Research - Oceans (Wave generation, dissipation, and disequilibrium in an embayment with complex bathymetry</p>
Data and code for figures: Polychromatic Cherenkov radiation induced group velocity symmetry breaking in counterpropagating dissipative Kerr solitons
<p>This dataset contains the data presented in the Figures of the paper <Polychromatic Cherenkov radiation induced group velocity symmetry breaking in counterpropagating dissipative Kerr solitons>.</p>
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