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131
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Dataset results
131 results for “Dissipation”
Trapped-Ion Quantum Simulation of Electron Transfer Models with Tunable Dissipation
<p>This package includes the data, the theory, and the source code to plot both in Mathematica to reproduce the figures of the paper.</p>
Slow kinks in dissipative kirigami
<p>This dataset contains the data used for the paper 'Slow kinks in dissipative kirigami' available at <a href="https://doi.org/10.48550/arXiv.2211.11600">https://doi.org/10.48550/arXiv.2211.11600</a>.</p>
Learning Dissipative Dynamics in Chaotic Systems (Datasets)
<p>We present the datasets for NeurIPS 2022 paper <a href="https://arxiv.org/abs/2106.06898">"Learning Dissipative Dynamics in Chaotic Systems."</a> In this work, we propose a machine learning framework, which we call the Markov Neural Operator (MNO), to learn the underlying solution operator for dissipative chaotic systems, showing that the resulting learned operator accurately captures short-time trajectories and long-time statistical behavior.</p> <p>In our work, we present results in the finite-dimensional toy system Lorenz-63. We showcase results on the 1D Kuramoto–Sivashinsky (KS) and on the 2D Navier-Stokes (Kolmogorov flows) PDEs. We present the datasets for Lorenz-63, KS, and Navier-Stokes (Reynolds numbers 40, 500, and 5000).</p> <p>The data is stored as .npy and .mat files:</p> <ul> <li><strong>L63.mat: </strong>Lorenz-63 data (one long trajectory of 10000 seconds)</li> <li><strong>KS.mat:</strong> 1D Kuramoto–Sivashinsky data (1200 trajectories, 500 time-steps each)</li> <li><strong>2D_NS_Re40.npy: </strong>2D Navier-Stokes data (200 trajectories, 500 time-steps each) at 64 x 64 spatial resolution.</li> <li><strong>2D_NS_Re500.npy: </strong>2D Navier-Stokes data (1000 trajectories, 500 time-steps each) at 64 x 64 spatial resolution with Reynolds number 500.</li> <li><strong>2D_NS_Re5000.npy: </strong>2D Navier-Stokes data (100 trajectories, 500 time-steps each) at 128 x 128 spatial resolution with Reynolds number 5000.</li> </ul>
Fluctuation-dissipation relation for a Bose-Einstein condensate of photons
<p>This repository contains the data presented in the manuscript titled "Fluctuation-dissipation relation for a Bose-Einstein condensate of photons" by F. E. Öztürk et al., <em>Phys. Rev. Lett. </em><strong>130</strong>, 033602 (2023)</p> <p>The files named 'fig{1,2,3,4}.xlsx' contain the final data sets relevant to reproduce all plots shown in the paper.</p>
Turbulent dissipation rate and velocity spectrum at two radar wind profiler sites in North China
<p>This dataset includes the monthly mean velocity spectrum width and turbulence dissipation rate from 0900 local standard time (LST) to 1700 LST in 2021, which are retrieved from the radar wind profiler measurements at Baoding (urban) and Zhangbei (plateau) stations. Each data file is stored in xlsx format and contains two sheets, and each sheet is a two-dimensional data, including velocity spectrum width and turbulence dissipation rate. These two variables are stored in a matrix of 30 rows and 9 columns. The row refers to the height at an interval of 120 meters, and the columns refers to time which corresponds to 0900 to 1700 LST. </p>
Data of "Dissipative quantum many-body dynamics in (1+1)D quantum cellular automata and quantum neural networks"
<p>The uploaded files contain the data of the simulations presented in the figures in <a href="https://doi.org/10.48550/arXiv.2304.11209">https://doi.org/10.48550/arXiv.2304.11209</a>.</p>
Modeling of pressure induced magnetic and magnetocaloric effects in dissipative magnetic shape memory alloy systems
<p>This article presents a coupled magneto-thermo-mechanical model of pressure-dependent Magneto-caloric Effect (MCE) and magnetization responses for polycrystalline Magnetic Shape Memory Alloys (MSMA). Coupled constitutive equations are derived from a Helmholtz free energy function in a consistent thermodynamic way. The hysteretic and dissipative characteristics of phase transformations in MSMAs are captured by the internal state variables approach with their evolution equations. The model is calibrated and validated with the existing experimental data. The validated constitutive model is then exploited to predict MCEs at different pressures and magnetic field levels. Some predicted results are compared with the available experimental data.</p>
Modeling of pressure induced magnetic and magnetocaloric effects in dissipative magnetic shape memory alloy systems
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Data from: A dissipation-induced superradiant transition in a strontium cavity-QED system
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Numerical investigation for hazardous gas cloud form and dissipation behavior of hydrogen blended natural gas in a confined space
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Reconfigurable non-Hermitian soliton combs using dissipative couplings and topological windings
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Data from: Heat dissipation capacity influences reproductive performance in an aerial insectivore
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Data from: lactation at hot temperature: a test of heat dissipation limitation in mice divergently selected for BMR
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Data and code for figures: Formation and Collision of Multistability-Enabled Composite Dissipative Kerr Solitons
<p>This dataset contains the data presented in the Figures of the paper <Formation and Collision of Multistability-Enabled Composite Dissipative Kerr Solitons>.</p>
Codes and datasets associated with the paper "On the dissipation rate of temperature fluctuations in stably stratified flows"
<p>Here, you will find some of the codes and datasets utilized in the article: "On the dissipation rate of temperature fluctuations in stably stratified flows". (<a href="https://arxiv.org/abs/2001.06369">https://arxiv.org/abs/2001.06369</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>
Data from: Keeping cool: enhanced optical reflection and heat dissipation in silver ants
Saharan silver ants, Cataglyphis bombycina, forage under extreme temperature conditions in the African desert. We show that the ants' conspicuous silvery appearance is created by a dense array of triangular hairs with two thermoregulatory effects. They enhance not only the reflectivity of the ant's body surface in the visible and near-infrared range of the spectrum, where solar radiation culminates, but also the emissivity of the ant in the mid-infrared. The latter effect enables the animals to efficiently dissipate heat back to the surroundings via blackbody radiation under full daylight conditions. This biological solution for a thermoregulatory problem may lead to the development of biomimetic coatings for passive radiative cooling of objects.
Data from: Lean-season primary productivity and heat dissipation as key drivers of geographic body-size variation in a widespread marsupial
Geographic body-size variation characterises many mammal species. Hypotheses centring around heat conservation, heat dissipation, primary productivity and seasonality have been advanced to explain geographic body-size patterns. However, identification of the primary body-size drivers has often been hampered by a paucity of data for broadly distributed species and the application of regression models that have not explicitly accounted for the spatial clustering inherent in such datasets. We used Australia's most widespread marsupial, the common brushtail possum Trichosurus vulpecula, as a model species with which to test five proposed drivers of geographic body-size variation. Using geo-referenced skull measurements from 588 specimens and a suite of putative environmental covariates, we employed spatial simultaneous autoregressive models, together with information criteria, to evaluate these different hypotheses. Our analysis identified a strong, positive relationship between possum body size and primary productivity during the least productive season, whereas the relationship with mean annual productivity received less support. Consistent with the heat-dissipation hypothesis, T. vulpecula body size also decreased with increasing mean summer maximum temperature. Spatial autoregression coefficients estimated from the simultaneous autoregressive models were always high, suggesting that additional abiotic or biotic factors might contribute to the spatial patterns observed. We argue that the analysis of geographic body-size variation should consider multi-causal possibilities rather than treating the numerous hypotheses as competing, mutually exclusive alternatives.
Data and code for figures in "Octave-spanning dissipative Kerr soliton frequency combs in Si3N4 microresonators"
<p>Data and code used to produce the figures in "Octave-spanning dissipative Kerr soliton frequency combs in <em>S</em><em>i</em>3<em>N</em>4 microresonators".</p>
Magnon-mediated qubit coupling determined via dissipation measurements
<p>Accompanying data for the main text and supporting information of <i><strong>Magnon-mediated qubit coupling determined via dissipation measurements</strong></i></p><p>Paper abstract is as follows:</p><p>Controlled interaction between localized and delocalized solid-state spin systems offers a compelling platform for on-chip quantum information processing with quantum spintronics. Hybrid quantum systems (HQSs) of localized nitrogen-vacancy (NV) centers in diamond and delocalized magnon modes in ferrimagnets–systems with naturally commensurate energies–have recently attracted significant attention, especially for interconnecting isolated spin qubits at length-scales far beyond those set by the dipolar coupling. However, despite extensive theoretical efforts, there is a lack of experimental characterization of the magnon-mediated interaction between NV centers, which is necessary to develop such hybrid quantum architectures. Here, we experimentally determine the magnon-mediated NV-NV coupling from the magnon-induced self-energy of NV centers. Our results are quantitatively consistent with a model in which the NV center is coupled to magnons by dipolar interactions. This work provides a versatile tool to characterize HQSs in the absence of strong coupling, informing future efforts to engineer entangled solid-state systems.</p>
Figure 4 in Small-scale spatial distribution of ghost shrimp and macrobenthic fauna in an Amazon macrotidal dissipative sandy beach
Figure 4. Relative abundance (%) of taxonomic (A), feeding groups (B), mean density (ind./m2 ± standard error) (C) and taxon richness (± standard error) (D) of the macrobenthic fauna of the two study areas (Area 1: muddy sediment – next to a tidal channel, Area 2: sandy sediment).
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.