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195 results for “equilibrium”
Win-Stay-Lose-Shift as a self-confirming equilibrium in the iterated prisoner's dilemma
<p>Evolutionary game theory assumes that players replicate a highly scored player's strategy through genetic inheritance. However, when learning occurs culturally, it is often difficult to recognize someone's strategy just by observing the behaviour. In this work, we consider players with memory-one stochastic strategies in the iterated prisoner's dilemma, with an assumption that they cannot directly access each other's strategy but only observe the actual moves for a certain number of rounds. Based on the observation, the observer has to infer the resident strategy in a Bayesian way and chooses his or her own strategy accordingly. By examining the best-response relations, we argue that players can escape from full defection into a cooperative equilibrium supported by Win-Stay-Lose-Shift in a self-confirming manner, provided that the cost of cooperation is low and the observational learning supplies sufficiently large uncertainty. </p>
Model simulation data used in "How non-equilibrium aerosol chemistry impacts particle acidity: the GMXe AERosol CHEMistry (GMXe-AERCHEM, v1.0) sub-submodel of MESSy"
<p>This dataset contains the output of the ECHAM/MESSy Atmospheric Chemistry (EMAC) model simulation analyzed in the work "How non-equilibrium aerosol chemistry impacts particle acidity: the GMXe AERosol CHEMistry (GMXe-AERCHEM, v1.0) sub-submodel of MESSy" submitted to Geoscientific Model Development.</p>
Far-from-equilibrium attractors with Full Relativistic Boltzmann approach in boost-invariant and non-boost-invariant systems
<p>Datasets of the figures of the paper "Far-from-equilibrium attractors with Full Relativistic Boltzmann approach in boost-invariant and non-boost-invariant systems'" available on <a href="https://arxiv.org/abs/2311.11921">arXiv:2311.11921.</a></p>
Code and data for RCEMIP-II: Mock-Walker Simulations as Phase II of the Radiative-Convective Equilibrium Model Intercomparison Project
<p>Model configuration code and post-processed data for simulations with SAM6.11.2 (Khairoutdinov and Randall, 2003) and CAM6 (https://github.com/ESCOMP/CESM/releases/tag/release-cesm2.1.3) needed to reproduce figures in the protocol paper for RCEMIP-II (Wing et al., 2023):</p> <p>Wing, A. A., Silvers, L. G., and Reed, K. A.: RCEMIP-II: Mock-Walker Simulations as Phase II of the Radiative-Convective Equilibrium Model Intercomparison Project, Geosci. Model Dev. Discuss. [preprint], https://doi.org/10.5194/gmd-2023-235, in review, 2023.</p> <p>SAM6.11.2 data (SAM6.11.2-lambda6000.zip and SAM6.11.2-lambda6144.zip):</p> <ul> <li>lambda6000: simulations with wavelength 6000 km</li> <li>lambda6144: simulations with wavelength 6144 km</li> <li>Each simulation, for a given mean SST ($SST) and delta SST ($dT) has the following data files <ul> <li>crh_avg_$SST_$dT.mat: column relative humidity averaged over the short (y) dimension, as a function of x and time.</li> <li>mockwalker2048x128x74_3km_12s_$SST_$dT.nc: domain-averaged 0D (function of t) and 1D (function of z and t) data <ul> <li>The "long" simulations, which have a domain that is twice as long as normal, instead have files with names mockwalker4096x128x74_3km_12s_$SST_$dT.nc</li> <li>The "wide" simulations, which have a domain that is twice as wide as normal, instead have files with names mockwalker2048x256x74_3km_12s_$SST_$dT.nc</li> <li>The "longwide" simulations, which have a domain that is twice as long and twice as wide as normal, instead have files with names mockwalker4096x256x74_3km_12s_$SST_$dT.nc</li> </ul> </li> <li>SAM_CRM_MW_$SST_$dT_1D_cldfrac_avg.nc: domain cloud fraction profile (function of z and t) following cfv2 definition of Stauffer and Wing (2022)</li> </ul> </li> </ul> <p>SAM6.11.2 configuration files (SAM6.11.2-lambda6000-config.zip and SAM6.11.2-lambda6144.zip):</p> <ul> <li>lambda6000: simulations with wavelength 6000 km</li> <li>lambda6144: simulations with wavelength 6144 km</li> <li>Each simulation, for a given mean SST and delta SST has the following configuration files <ul> <li>snd: Initial sounding</li> <li>prm: Namelist parameters</li> <li>grd: Vertical grid</li> <li>domain.f90: Domain size and number of subdomains</li> <li>simpleocean.f90: SST specification</li> </ul> </li> </ul> <p>CAM6 data (CAM6.zip):</p> <ul> <li>Each simulation, for a given mean SST ($SST) and delta SST ($dT) has the following data files <ul> <li>MockWalk54_humidity_HCF_$dT_$SST.nc: column relative humidity averaged over 4 longitude points, as a function of latitude and time.</li> <li>CAM6_MockW_$dT_cos_$SST_3_yr_HCF_0D_rlut_avg.nc: domain-averaged longwave flux at the top of the atmosphere</li> <li>CAM6_MockW_$dT_cos_$SST_3_yr_HCF_0D_rsut_avg.nc: domain-averaged upwelling shortwave flux at the top of the atmosphere</li> <li>CAM6_MockW_$dT_cos_$SST_3_yr_HCF_0D_rsdt_avg.nc: domain-averaged downwelling shortwave flux at the top of the atmosphere</li> <li>CAM6_MockW_$dT_cos_$SST_3_yr_HCF_1D_cldfrac_avg.nc: domain-averaged cloud fraction profile (function of z and t)</li> </ul> </li> </ul> <p>CAM6 configuration files (CAM6-MW295dT1p25-config.tar, CAM6-MW300dT1p25-config.tar, CAM6-MW305dT1p25-config.tar): Contains model initialization and configuration files for simulations with delta SST = 1.25 K. Simulations with other delta SST values need only change the delta SST parameter. </p>
Contents for: Influence of Ionization on the Polytropic Index of the Solar Atmosphere within Local Thermodynamic Equilibrium Approximation
<p>This is the data used for the creation of the manuscript figures. Explanation about the data is in the "README.txt" file. Version 2 includes compressed archive file containing Fortran module files with subroutines and input data files for the calculations of the study.</p>
Dynamical ising dataset for the paper Machine learning stochastic differential equations for the evolution of order parameters of classical many-body systems in and out of equilibrium
<p>This dataset provide the evolution in time for the magnetizaion in the 2D Ising model evolved with Gluber dynamics for a lattice of size 64 x 64.</p>
Far-from-equilibrium attractors with Full Relativistic Boltzmann approach in 3+1D: moments of distribution function and anisotropic flows v_n
<p>Datasets of the figures of the paper "Far-from-equilibrium attractors with Full Relativistic Boltzmann approach in 3+1D: moments of distribution function and anisotropic flows v_n" available on https://arxiv.org/abs/2409.12123</p> <p> </p>
Out-of-equilibrium criticalities in graphene superlattices
<p>This dataset contains data from the paper "Out-of-equilibrium criticalities in graphene superlattices"</p>
Removal of Crystal Violet (CV) in aqueous solution by Activated Carbon- Equilibrium, kinetic and Thermodynamic
<p>The quantitative kinetic and equilibrium adsorption parameters for Crystal Violet (CV) removed by commercial activated carbon (AC) were studied by UV visible absorption spectroscopy. (AC) with a high specific surface area (1250.320m2 /g) was characterized by the Brunauer-Emmett-Teller (BET) method and the zero charge point (pzc).The adsorptive properties of (AC) with (CV) was conducted at variable stirring speed , adsorbent dose, solution pH, initial (CV) concentrations, contact time and temperature using batch mode operation to find the optimal conditions for a maximum adsorption. The adsorption mechanism of CV onto (AC) was studied using the first pseudo order, second pseudo order and Elovich kinetic models. The kinetic was found to follow a pseudo-second order kinetic model. The equilibrium adsorption data for CV on AC were analyzed by the Langmuir, Freundlich, Elovich and Temkin models. The results indicate that the Langmuir model provides the best correlation (qmax = 35.71, 90.91 mg/g at 25 °C and 40 °C respectively).The adsorption isotherms at different temperatures have been used for the determination of thermodynamic parameters i.e. the free energy (ΔGo = -2.30 to -5.34 kJ/mol), enthalpy (ΔHo = 36.966 kJ/mol), entropy (ΔSo = 0.131 kJ/mol K) and activation energy (Ea) 40.208 kJ/mol of adsorption. The negative ΔGo and positive ΔHo values indicate that the overall adsorption is spontaneous and endothermic in nature</p>
Raw experimental data and matlab codes for the paper "State-dependent driving : A route to non-equilibrium stationary states"
<p>Raw experimental data and matlab codes used for numerical simulation in the paper - "State-dependent driving : A route to non-equilibrium stationary states". The data and codes to generate figures 2, 3 and 5 are available in the folders named "Fig 2", "Fig 3" and "Fig 5" respectively.</p>
Data used in JAMES paper "Sensitivity of the Horizontal Scale of Convective Self‐Aggregation to Sea Surface Temperature in Radiative Convective Equilibrium Experiments Using a Global Nonhydrostatic Model"
<p>Data used in JAMES paper "Sensitivity of the Horizontal Scale of Convective Self‐Aggregation to Sea Surface Temperature in Radiative Convective Equilibrium Experiments Using a Global Nonhydrostatic Model" by Shuhei Matsugishi and Masaki Satoh doi: 10.1029/2021MS002636</p>
Relative binding free energy between chemically distant compounds using a bidirectional non-equilibrium approach
<p>Data from "Relative binding free energy between chemically distant compounds using a bidirectional nonequilibrium approach"</p> <p>Submitted to J Chem Theory Comput, February 2022.</p> <p>This archive contains the following directories:</p> <p><br> traj -> This directory contains trajectory files for SAMPL9:</p> <p> g??_w.pdb.gz file contains ~ 160 snapshots from the 48 ns HREM sampling<br> of the target bound state of G1-G13 including water solvent.</p> <p> g??_1.pdb.gz file contains ~ 3500 snapshots (no solvent included) of the<br> target bound state of G1-G13</p> <p><br> work -> This trajectory contains the work data (in kJ/mol) obtained in<br> the NE trajectories for SAMPL9:</p> <p> gxx-gyy_b_TIME.wrk is the work sample obtained for the xx->yy transmutation<br> in the bound state with a duration time of TIME.</p> <p> gxx-gyy_u_TIME.wrk is the work sample obtained for the xx->yy transmutation<br> in the unbound state with a duration time of TIME.</p> <p>pdb -> This directory contains the pdb initial structures of the G1-G18 guests and the WP6 host</p> <p>ff -> This directory contains the force field specification for SAMPL9:</p> <p> the PrimaDORAC generated (http://www1.chim.unifi.it/orac/primadorac/)<br> tpg and prm files for the guests and the host in orac format. (see<br> http://ftp.chim.unifi.it/orac/MAN/orac-manual.html)</p> <p>bin -> This directory contains the script files to compute all bidirectional and unidirectional RBFE estimates as reported in Table 2 of the paper.<br> In order to compute an RBFE using the work data in the work dir, do the following:<br> 1) cd into the bin directory<br> 2) issue the command<br> source source_this_file.bash<br> (N.B.: gfortran must be installed)<br> 3) cd ../<br> 4) from the main dir, issue the command:<br> RBFE.bash -b 720 -u 360 B A<br> where B and A are the ghost and physical compound, respectively<br> Results for DG(A->B) are printed to the standard output</p> <p> Example: <br> RBFE.bash -b 720 -u 360 g01 g03 > g03g01<br> In the g03g01 file, estimates and properties of the work data are<br> printed in the format<br> "g05->g02 DG_bar= -5.13 0.37 DG_ff_G= -4.2 0.8 DG_ff_J= -3.0 0.4 sig_AB_u= 0.90 sig_AB_b= 2.16 ADT_AB_u= 0.26 ADT_AB_b= 0.23 DG_rr_G= 130.5 33.5 DG_rr_J= -7.2 0.8 sig_BA_u= 1.10 sig_BA_b= 13.61 ADT_BA_u= 0.48 ADT_BA_b= 3.40 DG_fr_G= -4.27 1.04 DG_fr_J= -3.23 0.58 bias_fr= 0.2 DG_rf_G= 127.88 30.30 DG_rf_J= -7.16 0.66 bias_rf= 0.0 DG_BAR= -5.26 0.0 tb= 720 tu= 360"</p> <p> To compute all DDG estimates of Table 2 launch the script<br> "do_all.bash" from the main dir </p> <p>shift-pot -> This directory contains two gnuplot scripts showing the evolution of the<br> Beutler LJ and elec soft-core potentials (soft.gplt) and of the shifted LJ and<br> elec soft-core potentials used in this work (shift.gplt)<br> </p>
[dataset] Runtime Equilibrium Verification for Resilient Cyber-physical Systems
<p>This package contains the <strong>raw data</strong> and <strong>scripts</strong> used to carry out the evaluation of the framework RUNE<sup>2</sup> (RUNtime Equilibrium verification and Enforcement).</p> <p>This package is paired with the following paper submitted for publication to the ACM Transactions on Autonomous and Adaptive Systems (TAAS). Invited contribution to the IEEE ACSOS 2021 Special Issue.</p> <p><strong>Title</strong>: Enforcing Resilience in Cyber-physical Systems via Equilibrium Verification at Runtime</p> <p><strong>Authors</strong>:<br> - Matteo Camilli, Free University of Bozen-Bolzano, Italy<br> - Raffaela Mirandola, Politecnico di Milano, Italy<br> - Patrizia Scandurra, University of Bergamo, Italy</p> <p>See README.md for further instructions.</p>
Bed topography of the large-scale meandering rivers at dynamic equilibrium state
<p>The simulation results for the bed topography of the 42 large-scale testbed rivers at dynamic equilibrium (along with instantaneous bed shear stress distributions) are presented.</p>
Thermal conductivity of hydrous wadsleyite determined by non-equilibrium molecular dynamics based on machine learning
<p>This repository contains data used in "Thermal conductivity of hydrous wadsleyite determined by non-equilibrium molecular dynamics based on machine learning" submitted by Dong Wang, Zhongqing Wu and Xin Deng.</p> <p>Figure S4 : "MLP test-Energy" in <strong><a href="https://zenodo.org/api/files/353c5b70-3e53-4192-92af-7bf7f12328fd/Data%20for%20Figures.xlsx?versionId=96ac296c-13f9-4871-976a-d7ad087e0b62">Data for Figures.xlsx</a></strong>、<strong><a href="https://zenodo.org/api/files/353c5b70-3e53-4192-92af-7bf7f12328fd/MLP%20test-force.txt?versionId=acfeccd1-ecbf-42c8-a6a3-0d6daf72b078">MLP test-force.txt</a></strong></p> <p>Figure 1 : "MLP test-NEMD" in <strong><a href="https://zenodo.org/api/files/353c5b70-3e53-4192-92af-7bf7f12328fd/Data%20for%20Figures.xlsx?versionId=96ac296c-13f9-4871-976a-d7ad087e0b62">Data for Figures.xlsx</a></strong></p> <p>Figure 3 : "Modeing" in <strong><a href="https://zenodo.org/api/files/353c5b70-3e53-4192-92af-7bf7f12328fd/Data%20for%20Figures.xlsx?versionId=96ac296c-13f9-4871-976a-d7ad087e0b62">Data for Figures.xlsx</a></strong></p>
Testing the assumption of environmental equilibrium in an invasive plant species over a 130 year history
Invasive plants are an increasing threat to global biodiversity. Effective management depends on accurate predictions of their spread. However, modelling the geographic distribution of invasive species, particularly with correlative species distribution models (SDMs), is challenging. SDMs assume that species are in equilibrium with their environment (i.e., they occur in all suitable environments); this assumption is likely to be violated for a species that is actively invading new environments. This assumption is rarely assessed, and when violated can have consequences for model reliability. Using the invasive vine Vincetoxicum rossicum, we tested the hypotheses that: 1) invasive species' distribution in environmental and geographic space increase to a plateau over time; 2) this plateau is a useful proxy for equilibrium distribution, a key assumption underlying SDMs. We compare V. rossicum's expansion in environmental and geographic space between historical and current time periods and infer equilibrium when its distribution has remained stable for an extended period. We also compare the performance of SDMs from historical time periods in predicting the current geographic distribution of V. rossicum. We found that V. rossicum has reached equilibrium in environmental space, but is still expanding its geographic distribution. SDM performance was poor in the first 30 years following introduction, but improved as V. rossicum approached environmental equilibrium. Our findings demonstrate the power of including temporal dynamics and the need to consider environmental and geographic equilibrium separately when modelling the distribution of invasive species. In light of our findings, we address shortcomings of the current approach to defining an equilibrium distribution and present a new perspective for reconciling the potentially confounding influence of dispersal limitation when assessing equilibrium distribution.
Thermal Equilibrium States and Timescales of Lunar Cold Traps via Low-Temperature Thermoluminescence
<p>This data set contains induced thermoluminescence glow curves following the irradiation with 90Sr beta particles, ranging in absored radiatoon doses of ~70 to 52,800 Gy.</p> <p>The glow curve data are compiled in one .csv file.</p> <p>The column headers indicate the temperature in Kelvin (K) at which the TL intensity (Int) was recorded and the absorbed dose in Gray (Gy).</p>
Data for coherence measurements of polaritons in thermal equilibrium reveal a power law for two-dimensional condensates
<p>All the raw data sets collected for this project are included in this submission. The code for the numerics is also included. 'Readme.text' files are included with the data sets explaining what the data sets are and how to read them. </p>
Supplementary Dataset for "Most Earth-surface calcites precipitate out of isotopic equilibrium", by M. Daëron, R.N. Drysdale, M. Peral, D. Huyghe, D. Blamart, T.B. Coplen, F. Lartaud, and G. Zanchetta
<p>This repository contains the raw data files and Python code used to generate all figures and equations included in the article "Most Earth-surface calcites precipitate out of isotopic equilibrium", by Daëron et al. (https://doi.org/10.1038/s41467-019-08336-5).</p>
Code and figures in support of publication comparing transient and quasi-equilibrium warmer worlds
<p>This folder contains raw figure files for a publication comparing transient and quasi-equilibrium warmer worlds.</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.