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17 results for “scaling theory”
Supporting data "Scaling theory for the statistics of slip at frictional interfaces"
<p>Principle data supporting "Scaling theory for the statistics of slip at frictional interfaces"</p> <p>T. W. J. de Geus and M. Wyart (2022), <em>Phys. Rev. E</em>, 106(6):065001.</p> <ul> <li>See code at <a href="../doi/10.5281/zenodo.10723197">doi: 10.5281/zenodo.10723197</a> (and its documentation) for workflow, detailed information of the data, and further dependencies. </li> <li>The files <code>N=*_Run*.zip</code> contain fully restorable events for event-driven athermal quasi-static shear. Sequentually numbered files contain different parts of a single dataset.</li> <li>The file <code>summary.zip</code> contains an extract of the key variables of these runs, and of triggers at different stresses. Finally, it contains "flow" data acquired by driving at finite rate. </li> <li>The files <code>N=3^6x4_Trigger_EnsemblePack.zip</code> contain fully restorable triggers at different stresses in the largest system. The sequentially numbered files correspond to one dataset split in different<em> </em><code>.h5</code> files.</li> <li>Highly specific (and poorly documentated) plotting functions are available upon request.</li> </ul>
Sp(2N) Yang-Mills theories on the lattice: scale setting and topology—data release
<p>This release contains all data and metadata used to prepare the publications <a href="https://arxiv.org/abs/2205.09254">Topological susceptibility in Yang-Mills theories</a> and <a href="https://arxiv.org/abs/2205.09364">Sp(2N) Yang-Mills theories on the lattice: scale setting and topology</a>.</p> <p>Included are:</p> <ul> <li>The raw log output from the Wilson flow computation, as well as metadata describing the ensembles used, in `raw_data.zip`. These include all numbers used in the publication (aside from fit parameters) in plaintext form. The archive contains a separate `README.md` describing the layout of the data.</li> <li>All numbers included in the above logs, restructured into HDF5 format for convenience, in `datapackage.h5`.</li> <li>The data presented in all tables in both papers, in CSV format, as described in more detail below.</li> </ul> <p>Further details are given in the file README.md.</p>
Data from: Using large-scale tropical dry forest restoration to test successional theory
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Data from: Why does offspring size affect performance? Integrating metabolic scaling with life-history theory
Within species, larger offspring typically outperform smaller offspring. While the relationship between offspring size and performance is ubiquitous, the cause of this relationship remains elusive. By linking metabolic and life-history theory, we provide a general explanation for why larger offspring perform better than smaller offspring. Using high-throughput respirometry arrays, we link metabolic rate to offspring size in two species of marine bryozoan. We found that metabolism scales allometrically with offspring size in both species: while larger offspring utilise absolutely more energy than smaller offspring, larger offspring use proportionally less of their maternally-derived energy throughout the dependent, non-feeding phase. The increased metabolic efficiency of larger offspring while dependent on maternal investment may explain offspring size effects –larger offspring reach nutritional independence (feed for themselves) with a higher proportion of energy relative to structure than smaller offspring. These findings offer a potentially universal explanation for why larger offspring tend to perform better than smaller offspring but studies on other taxa are needed.
Research Data supporting "Linear-Scaling Density Functional Theory using the Projector Augmented Wave Method"
<p>Research Data supporting "Linear-Scaling Density Functional Theory using the Projector Augmented Wave Method" by Nicholas D. M. Hine</p>
Displacement time series from Foamquake and Gelquake in single- and double asperity configurations: Supplementary material to "Scaled seismotectonic models of megathrust seismic cycles through the lens of dynamical system theory"
<p><span>This dataset includes displacement data from 4 experiments performed with Foamquake and Gelquake (Mastella et al. 2022, Corbi et al., 2013), two scaled seismotectonic models reproducing the megathrust seismic cycle running at the Laboratory of Experimental Tectonics LET (Univ. Roma Tre). These models enable the generation of hundreds of quasi-periodic cycles of stress accumulation and sudden release through the spontaneous nucleation of frictional instabilities within one or many analog seismic asperities. Models are monitored by the means of a high-resolution top-view monitoring camera acquiring images at 7.5 and 50 frames per second for Gelquake and Foamquake, respectively. This dataset has been created with particle image velocimetry (PIV, using MatPIV (Sveen 2004)) through the cross-correlation between consecutive images. The PIV provides us with velocity field time series. These are integrated to obtain displacement time series. From the whole model surface, in each experiment we selected data from a cross-section striking parallel to the trench and located at the downdip center of the asperities. Cross sections are discretized in 28 and 29 target points in Gelquake and Foamquake, respectively. </span></p> <p><span>Displacement time series have been normalized to zero mean and unit variance to ensure the same level of magnitude for comparison between different experiments. Linear and second order polynomial trends have been removed to make the stick-slip confined in a given range and avoid non-stationary behavior. Time series data are not passed through filters (e.g., smoothing or moving average).</span></p> <p><span>Filename informs about the nature of the analog upper plate (i.e., foam and gel) and geometrical configuration of asperities (i.e., mono and twin). Together with individual files for each experiment, this dataset includes a Matlab script (i.e., all_timeseries.m) that allows visualization of displacement time series from individual target points. </span></p> <p><span>This dataset is supplementary to the paper in SEISMICA "Scaled seismotectonic models of megathrust seismic cycles through the lens of dynamical system theory” by Corbi et al. (2024), where detailed descriptions of models and experimental results can be found.</span></p>
Geometries for 'Linear-scaling implementation of multilevel Hartree-Fock theory'
<p>Geometry files (.xyz format) used in the paper '<em>Linear-scaling implementation of multilevel Hartree-Fock theory</em>'</p>
Data from: Why does offspring size affect performance? Integrating metabolic scaling with life-history theory
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Data from: Using predator-prey theory to predict outcomes of broad-scale experiments to reduce apparent competition
Apparent competition is an important process influencing many ecological communities. We used predator-prey theory to predict outcomes of ecosystem experiments aimed at mitigating apparent competition by reducing primary prey. Simulations predicted declines in secondary prey following reductions in primary prey because predators consumed more secondary prey until predator numbers responded to reduced prey densities. Losses were exacerbated by a higher carrying capacity of primary prey and a longer lag time of the predator's numerical response, but a gradual reduction in primary prey was less detrimental to the secondary prey. We compared predictions against two field experiments where endangered woodland caribou (Rangifer tarandus caribou) were victims of apparent competition. First, when deer (Odocoileus sp.) declined suddenly following a severe winter, cougar (Puma concolor) declined with a 1–2-year lag, yet in the interim more caribou were killed by cougars, and caribou populations declined by 40%. Second, when moose (Alces alces) were gradually reduced using a management experiment, wolf (Canis lupus) populations declined but did not shift consumption to caribou, and the largest caribou subpopulation stabilized. The observed contrasting outcomes of sudden versus gradual declines in primary prey supported theoretical predictions. Combining theory with field studies clarified how to manage communities to mitigate endangerment caused by apparent competition that affects many taxa.
Scaling theory of wave confinement in classical and quantum periodic systems
<p>Data repository to manuscript 'Scaling theory of wave confinement in classical and quantum periodic systems'. The upload contains the file "README.txt" explaining the content of the upload.</p>
Research data for: "Band Structure Interpolation using Optimized Local Orbitals from Linear-Scaling Density-Functional Theory"
<p>This file was created by Laura E. Ratcliff on 23rd March 2018. It contains the input files employed for the ONETEP and CASTEP calculations in the above publication.</p> <p>Directory Listing:</p> <p>castep/</p> <p>Contains the input files used to generate the CASTEP reference data.</p> <p>onetep/</p> <p>Contains the input files used to generate all of the ONETEP data, where filenames are labelled with the number of repeat CNT units, val (cond) indicates a valence (conduction) calculation and the suffixes follow a similar labelling convention to that employed in the manuscript.</p>
Data from: Using predator-prey theory to predict outcomes of broad-scale experiments to reduce apparent competition
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Metabolic theory of ecology successfully predicts distinct scaling of ectoparasite load on hosts
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Dataset for "Microscopic Theory of Density Scaling: Coarse-Graining in Space and Time"
<p>Dataset for "Microscopic Theory of Density Scaling: Coarse-Graining in Space and Time"</p>
Scaling in internally heated convection:a unifying theory
<p>The data contains dataset for the paper: Scaling in internally heated convection:a unifying theory. By Qi Wang, Detlef Lohse and Olga Shishkina.</p>
Tipping Point: Using Social Network Theory to Accelerate Scale and Impact
ClinicalTrials.gov study NCT05777473. IPD Sharing: NO. Countries: 1. Publications: 0.
Nursing self-efficacy for oral anticoagulant therapy management: Development and initial validation of a theory-grounded scale
<p>Dataset from Magon A, Arrigoni C, Fava A, Pittella F, Villa G, Dellafiore F, Conte G, Caruso R. Nursing self-efficacy for oral anticoagulant therapy management: Development and initial validation of a theory-grounded scale. Appl Nurs Res. 2021 Jun;59:151428. doi: 10.1016/j.apnr.2021.151428. Epub 2021 Mar 23. PMID: 33947515.</p> <p>Abstract</p> <p><strong>Aim: </strong>This study aimed to develop and validate a nursing self-efficacy scale for OAC management (SE-OAM).</p> <p><strong>Background: </strong>Oral anticoagulant therapy (OAC) requires specific nursing competencies. Given that self-efficacy acts as a proxy assessment of nursing competence, its measurement is pivotal for addressing educational programs to enhance nursing competence in managing OAC. Thus far, the measurement of self-efficacy in OAC is undermined by the unavailability of valid and reliable tools.</p> <p><strong>Methods: </strong>A multi-method and multi-phase design was adopted: Phase one was a methodological study encompassing developmental tasks for generating items. Phase two comprised the validation process for determining the content validity, construct and concurrent validity, and internal consistency through two cross-sectional data collections.</p> <p><strong>Results: </strong>In total, 190 nurses were enrolled for determining the psychometric structure of the SE-OAM through an exploratory approach, and 345 nurses were subsequently enrolled to corroborate its most plausible factor structure derived from the exploratory analysis. The SE-OAM showed evidence of face and content validity, adequate construct, concurrent validity, good internal consistency, and stability. The final version of the scale encompassed 21 items kept by five domains: clinical management, care management, education, clinical monitoring, and care monitoring.</p> <p><strong>Conclusions: </strong>The SE-OAM showed evidence of initial validity and reliability, fulfilling a current gap in the availability of tools for measuring nursing self-efficacy in managing OAC. SE-OAM could be strategic for performing research to improve the quality of OAC management by enhancing nursing self-efficacy.</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.