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131 results for “Dissipation”
Data Supporting Dissipation Scaled Internal Wave Drag in a Global Heterogeneously Coupled Internal/External Mode Total Water Level Model
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Dataset for "Constructing many-body dissipative particle dynamics models of fluids from bottom-up coarse-graining"
<ul> <li>The trajectory files used for processing time correlation functions, as reported in the original paper, are provided here.</li> <li>The analysis tools can be found in the following GitHub repository: <a href="https://github.com/jaehyeokjin/ManyBodyDPD/tree/main/Time-Correlation" target="_new" rel="noopener">ManyBodyDPD/Time-Correlation</a>. These tools are designed to work with the two trajectory files included in this repository.</li> </ul>
Data to "Symmetry breaking and non-ergodicity in a driven-dissipative ensemble of multilevel atoms in a cavity"
<p>The zip files contains the tex file, figure, matlab files, and raw experimental and simulation data of the paper "Symmetry breaking and non-ergodicity in a driven-dissipative ensemble of multilevel atoms in a cavity"</p>
Codes and data regarding "Temporal dissipative structures in optical Kerr resonators with transient loss fluctuation"
<p>Here we upload codes and figure data relate to the article "Temporal dissipative structures in optical Kerr resonators with transient loss fluctuation" that was published on Optics Express (<a href="https://doi.org/10.1364/OE.439212">https://doi.org/10.1364/OE.439212</a>)</p> <p>Please note that the codes have been tested using Matlab in the version of 2019a.</p> <p>The ".opj" and ".opju" files in the folder "Figure_data" can be opened via <a href="https://www.originlab.com/viewer/">the Origin viewer</a> (a free app published by Originlab)</p>
Data and code for figures: Spectral purification of microwave signals with disciplined dissipative Kerr solitons
<p>This dataset contains the data presented in the Figures of the paper <Spectral purification of microwave signals with disciplined dissipative Kerr solitons>.</p>
Large Andreev Bound State Zero Bias Peaks in a Weakly Dissipative Environment
<p>This repository contains the raw data and processing Python scripts corresponding to the paper "Large Andreev bound state zero bias peaks in a weakly dissipative environment"</p>
A. Fontana and L. Bellon, Dataset for Phys. Rev. E 107, 034118 (2023) : Linking fluctuation and dissipation in spatially extended out-of-equilibrium systems
<p>In this repository, you can find the data used for the salient plots in the article (10.1103/PhysRevE.107.034118), a script you can use to plot such data and a folder with some functions used in the script. All files are in MATLAB format. </p>
Data and simulation files for: "Dissipative Optomechanics in High-Frequency Nanomechanical Resonators"
<p>Data and simulation files for: "Dissipative Optomechanics in High-Frequency Nanomechanical Resonators"</p>
Late Pleistocene evolution of tides and tidal dissipation: tidal simulations
<p><strong>Tidal simulations to Wilmes et al., Late Pleistocene evolution of tides and tidal dissipation</strong></p> <p>This dataset comprises of the tidal simulations with the Gowan and ICE-6G bathymetries.</p> <p>Elevations are files files beginning with h0.*, transports are files beginning for with u0.*. Grid files begin with grid_*. Gowan simulations are files with *gowan*, ICE-6G simulations are files with *vivi*.</p> <p>Elevation files can be read with the matlab function h_in.m (amplitudes are "abs(h)" in matlab, phases "angle(h)" in matlab), transports can be read with u_in.m, and gridfiles can be read with grd_in.m (hz are water depths and mz is the land/sea mask).</p> <p> </p> <p> </p>
Energy dissipation of a carbon monoxide molecule manipulated using a metallic tip on copper surfaces
<p>Computational dataset for our research papers on energy dissipation of a carbon monoxide molecule manipulated using a metallic tip on copper surfaces:<br><br></p> <p>N. Okabayashi, T. Frederiksen, A. Liebig, and F. J. Giessibl<br><em>Dynamic friction unraveled by observing an unexpected intermediate state in controlled molecular manipulation</em><br><a href="https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.131.148001">Phys. Rev. Lett. <strong>131</strong>, 148001 (2023)</a></p> <p>N. Okabayashi, T. Frederiksen, A. Liebig, and F. J. Giessibl<br><em>Energy dissipation of a carbon monoxide molecule manipulated using a metallic tip on copper surfaces</em><br><a href="https://journals.aps.org/prb/abstract/10.1103/PhysRevB.108.165401">Phys. Rev. B <strong>108</strong>, 165401 (2023)</a></p>
Collection of n-body simulations including tidal dissipation in a planet and a satellite
<p>This zip file contains roughly 6000 n-body gravity simulations used in Kisare & Fabrycky (2023)<em>.</em> Included in the zip file is a README that with more details on how to navigate and interpret the data.</p>
Late Pleistocene evolution of tides and tidal dissipation: dissipation data
<p>These .mat files contain the dissipation files calculated in Wilmes et al. (2023) Late Pleistocene evolution of tides and tidal dissipation. For details on how dissipation was calculated and the simulation details see the paper. </p> <p>Each file contains following variables:</p> <p>time_(i or g) = time in ka BP</p> <p>lat & lon = latitude and longitude vectors</p> <p>const = tidal constituents (M2, S2, K1, O1)</p> <p>diss_all = dissipation time slices for all runs (33 for Gowan, 62 for ICE-6G); dimensions: lon/lat/time/const</p> <p>mz_all = land mask time slices for all runs; dimensions: lon/lat/time</p> <p>hz_all = bathymetries time slices for all runs; dimensions: lon/lat/time</p> <p>dtot_all / dshelf_all/ ddeep_all = globally integrated dissipation values for all time slices for global dissipation / open dissipation / shelf dissipation; dimensions: time/const</p> <p> </p>
Power Dissipation in Flow-controlled Ventilation
ClinicalTrials.gov study NCT06222463. IPD Sharing: NO. Countries: 1. Publications: 2.
DetectIon of Severe Sepsis In PATients With Neurological haemorrhagE (The DISSIPATE Study)
ClinicalTrials.gov study NCT04624945. IPD Sharing: UNDECIDED. Countries: 1. Publications: 10.
Data from: Keeping cool: enhanced optical reflection and heat dissipation in silver ants
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Data from: Lean-season primary productivity and heat dissipation as key drivers of geographic body-size variation in a widespread marsupial
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Turbulent velocity profiles for dissipation rate of 1e-6 W/kg
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Codes and datasets associated with the paper "Parameterizing the Energy Dissipation Rate in Stably Stratified Flows"
<p>Here, you will find some of the codes and datasets utilized in the article: "Parameterizing the Energy Dissipation Rate in Stably Stratified Flows". (<a href="https://arxiv.org/abs/2001.02255">https://arxiv.org/abs/2001.02255</a>)</p> <p>The direct numerical simulations were performed using the HERCULES code (<a href="https://github.com/friedenhe/HERCULES">https://github.com/friedenhe/HERCULES</a>). For all the simulations, the bulk Reynolds number is kept at 20,000. The bulk Richardson number is varied from 0.1 to 0.5. The zip files Re20000RiXX.zip contains the various turbulence statistics. </p> <p>Re20000Ri10: Ri_b = 0.1</p> <p>Re20000Ri20: Ri_b = 0.2</p> <p>Re20000Ri30: Ri_b = 0.3</p> <p>Re20000Ri40: Ri_b = 0.4</p> <p>Re20000Ri50: Ri_b = 0.5</p> <p>Every dat file (within the zip archives) is in ascii format and has 10 rows and 286 columns. Each row corresponds to normalized time (ranging from 1 to 10). Each column represents vertical model levels. </p> <p> </p>
Pressure Correction in the Calibration of Heat Dissipation Sensors
<p>Heat dissipation sensors (HDSs) infer soil matric potential based on the measured rate of temperature rise from a heat source. The process for calibrating these sensors may use a pressure plate apparatus (PPA) to remove water to a certain calibration point that is controlled by pressure. Conventionally, the pressure within the PPA is released before the temperature change calibration points are measured (D<i>T</i><sub>0</sub>). This conventional HDS calibration approach can take several weeks. We propose that the equilibrated temperature change at pressure (D<i>T</i><sub>p</sub>) can be corrected empirically to the value at zero pressure. Based on measurements of 14 HDSs between 0.02 and 0.1 MPa, D<i>T</i><sub>p</sub> was on average 6.2% larger than D<i>T</i><sub>0</sub>. After pressure correction, using an empirical equation, the difference between the corrected D<i>T</i><sub>p</sub> and D<i>T</i><sub>0</sub> was only 0.28%. These results demonstrate that this empirical approach provides sufficient accuracy to achieve HDS calibration without performing a PPA pressure release.</p>
Heat dissipation behaviour of birds in seasonally hot, arid-zones: are there global patterns?
<p>Quantifying organismal sensitivity to heat stress provides one means for predicting vulnerability to climate change. Birds are ideal for investigating this approach, as they display quantifiable fitness consequences associated with behavioural and physiological responses to heat stress. We used a recently developed method that examines correlations between readily-observable behaviours and air temperature (Tair) to investigate interspecific variation in avian responses to heat stress in seasonally hot, arid regions on three continents: the southwestern United States, the Kalahari Desert of southern Africa and the Gascoyne region of Western Australia. We found substantial interspecific variation in heat dissipation behaviours (wing-drooping, panting, activity-reduction, shade-seeking) across all three regions. However, pooling the data revealed that little of this interspecific variation was systematically explained by organismal traits (foraging guild, diet, drinking dependency, body mass, or activity levels) at the scale we tested. After accounting for phylogeny, we found that larger birds engaged in wing-drooping behaviour at lower Tair and had lower activity levels at high Tair compared to smaller birds, indicating an effect of body mass on heat dissipation behaviour (HDB). In the Kalahari, reliance on drinking was correlated with significantly lower Tair at which panting commenced, suggesting a key role of water acquisition in HDB in that region. Birds also tended to retreat to shade at relatively lower Tair when more active, suggesting a behavioural trade-off between activity, heat load, and microsite selection. Our results imply that the causes underlying interspecific variation in heat dissipation behaviours are complex. While the variation we observed was not systematically explained by the broad scale organismal traits we considered, we predict that the indices themselves will still reflect vulnerability to potential fitness costs of high air temperatures. Further research is needed on a species-specific basis to establish the functional significance of these indices.</p>
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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.