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2,001 results for “Orders”
Data supplement for "Gradient flows for coupling order parameters and mechanics"
<p>In this data repository we provide additional information necessary for the generation of the images in the paper "Gradient flows for coupling order parameters and mechanics". The simulation results are generated by a FEniCS code, run on Google Colab and the code is available at <a href="https://github.com/schmellerl/gradient_flows_order_parameters_mechanics">https://github.com/schmellerl/gradient_flows_order_parameters_mechanics</a>. The preprint of the article can be found under the DOI 10.20347/WIAS.PREPRINT.2909.</p> <p> </p> <p> </p>
Experimental data and scripts used for the paper "Experiments and low-order modelling of intermittent transitions between clockwise and anticlockwise spinning thermoacoustic modes in annular combustors"
<p>The folder contains the experimental data, the scripts an the instructions to generate the figures of the paper.</p> <p>Because of difficulties for uploading large files on zenodo, the heaviest files, which are the acoustic measurement files (.TDMS format), are not included in the zip file, but are put aside of it.</p> <p>For the scripts to work correctly, all the tdms files should be moved in the folder Faure-BeaulieuA_StochasticTransitionsAzimuthalMode_PROCI_20200713/01_input_data/</p>
Butcher's tableaux of the optimized explicit Runge-Kutta schemes for high-order collocated discontinuous Galerkin methods for compressible fluid dynamics
<p>This folder contains the Butcher's tableaux of the optimized explicit Runge-Kutta schemes for high-order collocated discontinuous Galerkin methods for compressible fluid dynamics presented in Al Jahdali et al., "Optimized explicit Runge--Kutta schemes for high-order collocated discontinuous Galerkin methods for compressible fluid dynamics," Computers & Mathematics with Applications, 2022.</p> <p>Specifically,</p> <p><a href="https://zenodo.org/api/files/754318a5-0881-4252-9059-086da4607b49/Butcher_coefficients_ADV.txt">Butcher_coefficients_ADV.txt</a> contains the Butcher's tableaux of the explicit Runge-Kutta schemes optimized using the spectra of the 2D advection equation.</p> <p><a href="https://zenodo.org/api/files/754318a5-0881-4252-9059-086da4607b49/Butcher_coefficients_IEV.txt">Butcher_coefficients_IEV.txt</a> contains the Butcher's tableaux of the explicit Runge-Kutta schemes optimized using the spectra of the isentropic vortex propagation for the compressible Euler equations.</p> <p> </p> <p> </p> <p> </p>
DFT-computed datasets for cation ordering in double perovskites
<p>This repository has datasets on cation ordering of double perovskites, computed using density functional theory. The README.md file gives descriptions of each of the datasets available via this repository.</p>
Alignment used in "A phylogenomically informed five-order system for the closest relatives of land plants"
<p>Alignment that served as the basis for the phylogenomic analyses presented in "A phylogenomically informed five-order system for the closest relatives of land plants" — preprint on bioRxiv doi: https://doi.org/10.1101/2022.07.06.499032</p>
Raw data for the manuscript "Experimental Higher-Order Interference in a Nonlinear Triple Slit"
<p>This folder contains the raw data and analysis coded need to reproduce all of the major results in the manuscript "Experimental Higher-Order Interference in a Nonlinear Triple Slit". </p> <p>The folder "matlab" contains the data and code used to produce all of the main data figures in the paper. The various script load the data, and plots the final results used in the paper. </p> <p>The folder "mathematica" contains the scripts to implement our 4-th order perturbative quantum solution. There is one script to fit to experimental data to find the effective nonlinearity, and another to generate the dependence of the different terms if kappa as a function of Z. The result is plotted in the matlab script found in the directory "matlab\quantum"</p>
Dataset for "Robust magnetic order upon ultrafast excitation of an antiferromagnet"
<p>This is the dataset for the publication on 'Advanced Materials Interfaces' with publication DOI: 10.1002/admi.202201340. The dataset contains the raw trARPES experimental data and the normalized magnetic x-ray diffraction amplitude dynamics (published in https://doi.org/10.1038/s42005-020-00407-0) of GdRh2Si2.</p> <p>- 'trARPES_T_20K_static_MX_cube.nxs' contains a cube of trARPES intensity along the MX cut of the surface Brillouin zone presented in Figure 1-b.</p> <p>- 'trARPES_T_20K_fl_(number).nxs' series contain temporal evolution of raw trARPES intensity measured at sample temperature of 20 K with pump fluence of (number) mJ/cm^2. Figure 2 a-d, 3, 4, 5 b-d, B1, C1 used these trARPES intensity evolution.</p> <p>- 'trARPES_T_150K_fl_(number).nxs' series contain temporal evolution of raw trARPES intensity measured at sample temperature of 150 K (above T_N) with pump fluence of (number) mJ/cm^2. Figure A1 used these trARPES intensity evolution.</p> <p>- 'trRXD_T_20K_fl_(number).txt' series contain temporal evolution of AF order parameter of GdRh2Si2 measured at sample temperature of 20 K with pump fluence of (number) mJ/cm^2. Figure 2-e, 4, 5 used these trRXD amplitude evolution.</p>
Rich subgroups in groups of order up to 2000
<p>This file contains information about nontrivial rich subgroups in groups G of order up to 2000, i. e., subgroups H with the property that the restriction of each character of G to H has a trivial constituent. Rich subgroups are studied in the paper <a href="https://arxiv.org/abs/2407.08040" target="_blank" rel="noopener">On Frobenius graphs of diameter 3 for finite groups</a>. The DOI for the data file is <a href="../records/12731413" target="_blank" rel="noopener">10.5281/zenodo.12731413</a>. The contents of the file is an array of length 3.</p> <ul> <li>The first entry is this description, an array of strings.</li> <li>The second entry is an array that lists the isomorphism types of the groups G; each entry has the format `[[n,i],[m1,m2,...,mk]]` meaning that G can be obtained as i-th group of order n in the <a href="https://gap-packages.github.io/smallgrp/" target="_blank" rel="noopener">small groups library</a>, and the representatives of the k conjugacy classes of rich subgroups in G have orders |m1|, |m2|, ..., |mk|; mj is positive if the j-th class of rich subgroups consists of diameter three subgroups of G, and negative otherwise.</li> <li>The third entry is an array that lists the isomorphism types of those groups G that are minimal w.r.t. inclusion with the property that they contain a rich subgroup; each entry has the format `[[n1,i1],[n2,i2],...,[nk,ik]]` meaning that the i1-th group of order n1, the i2-th group of order n2, ..., the ik-th group of order nk are minimal and that they are isoclinic.</li> </ul>
The complex non-collinear magnetic orderings in Ba2YOsO6: A new approach to tuning spin-lattice interactions and controlling magnetic orderings in frustrated complex oxides
<p><strong>Project abstract</strong>: Frustrated magnets are one class of fascinating materials that host many intriguing phases such as spin ice, spin liquid and complex long-range magnetic orderings at low temperatures. In this work we use first-principles calculations to find that in a wide range of magnetically frustrated oxides, at zero temperature a number of non-collinear magnetic orderings are more stable than the type-I collinear ordering that is observed at finite temperatures. The emergence of non-collinear orderings in those complex oxides is due to higher-order exchange interactions that originate from second-row and third-row transition metal elements. This implies a collinear-to-noncollinear spin transition at sufficiently low temperatures in those frustrated complex oxides. Furthermore, we find that in a particular oxide Ba2YOsO6, experimentally feasible uniaxial strain can tune the material between two different non-collinear magnetic orderings. Our work predicts new non- collinear magnetic orderings in frustrated complex oxides at very low temperatures and provides a mechanical route to tuning complex non-collinear magnetic orderings in those materials. <br> <br> <strong>About this entry</strong>: We provide the input files of our DFT calculations for the studied complex oxides. The structures in POSCAR format and the INCAR files for all stabilized magnetic orderings in our study are all included. These files can be directly used into DFT calculations with VASP. Only the versions of PAW potentials are included in POT.info files owing to the VASP license restrictions.</p>
GBIF map data latest examples: order Gadiformes
Open the record for dataset details and reuse information.
On the order of demonstrative, numeral, adjective, and noun
<p>Cite the source of the dataset as:</p> <blockquote> <p>Dryer, M.S. (2018). On the order of demonstrative, numeral, adjective, and noun. Language 94(4), 798-833. doi:10.1353/lan.2018.0054.</p> </blockquote>
Data Archive: Local and Global Order in Dense Packings of Semiflexible Polymers of Hard Spheres
<p>Data archive corresponding to the publication "Local and Global Order in Dense Packings of Semi-flexible 2 Polymers of Hard Spheres" by D. Martinez-Fernandez et al., Polymers 15, 551 (2023); DOI: https://doi.org/10.3390/polym15030551.</p> <p>Please see README.txt for instructions on how to access and read the files from the crystallographic analysis based on the CCE norm descriptor.</p> <p>All snapshots have been generated and successively analyzed by the Simu-D software.</p>
Arbitrage equilibrium, invariance and the emergence of spontaneous order in the dynamics of birds flocking
<p>This is the dataset used to report the findings in the paper "Arbitrage equilibrium, invariance and the emergence of spontaneous order in the dynamics of birds flocking". </p>
Zero marking and word order of core arguments
<p>This material contains the dataset from the <a href="https://version.helsinki.fi/hals/sinnemaki/sinnemaki2010">gitlab repository</a> of the following article, with corrections and some additions. Please cite the article when using the data.</p> <p>Sinnemäki, Kaius 2010. Word order in zero-marking languages. <em>Studies in Language</em> 34(4): 869–912.</p>
Matrix reorderings for "Bringing Order to Sparsity: A Sparse Matrix Reordering Study on Multicore CPUs"
<p>The paper "Bringing Order to Sparsity: A Sparse Matrix Reordering Study on Multicore CPUs" compares various strategies for reordering sparse matrices. The purpose of reordering is to improve performance of sparse matrix operations, for example, by reducing fill-in resulting from sparse Cholesky factorisation or improving data locality in sparse matrix-vector multiplication (SpMV). Many reordering strategies have been proposed in the literature and the current paper provides a thorough comparison of several of the most popular methods.</p> <p>This comparison is based on 490 sparse matrices from the SuiteSparse Matrix Collection (https://sparse.tamu.edu) and 6 matrix reordering algorithms. The dataset provided here supplies the permutations and reordered matrices in Matrix Market file format for 3 matrices and 6 reorderings.</p>
Higher-order H1-conforming hierarchical basis functions for triangles and tetrahedra
<p>This data set contains H1-conforming basis functions for triangular and tetrahedral finite elements. They are hierarchical in terms of the polynomial order and feature symmetries in terms of barycentric coordinates. Moreover, they are pairwise orthogonal with respect to the interpolation operator. The resulting element matrices exhibit high levels of sparsity and moderate condition numbers in the higher-order case.</p> <p>The functions are given in terms two different formats:</p> <p>*.mat MATLAB data file with a MATLAB structure.</p> <p>*.xml file with a structure.</p>
A non-intrusive reduced order model for the characterisation of the spatial power distribution in large thermal reactors (dataset)
<p>This repository contains the software and datasets needed to reproduce the results presented in the article "<a href="https://doi.org/10.1016/j.anucene.2022.109674">A non-intrusive reduced order model for the characterisation of the spatial power distribution in large thermal reactors</a>", published in Annals of Nuclear Energy.</p>
Dataset for the article "Reduced order model approaches for predicting the magnetic polarizability tensor for multiple parameters of interest"
<p>Datasets to accompany the article "Reduced order model approaches for predicting the magnetic polarizability tensor for multiple parameters of interest". Written by J. Elgy and P. D. Ledger (Keele University, 2023).</p> <p>The datasets include data files, meshes, and source code for generating figures from the paper. This requires the open source MPT-Calculator software available at <a href="https://github.com/MPT-Calculator/MPT-Calculator%7D">https://github.com/MPT-Calculator/MPT-Calculator</a> (InitialRelease branch).</p> <p>The authors gratefully acknowledge the financial support received from EPSRC in the form of grant EP/V009028/1</p> <p> </p>
Water quality measurements, stream order, channel slope and hydraulic equations of conterminous USGS sites: 1919-2009.
Streams and rivers emit petagrams of CO2 yet there is little known about how discharge (Q) variability impacts stream CO2 at broad scales. Herein, we compiled historical water quality (including pH, alkalinity and temperature) measurements for conterminous USGS sites and coupled them with daily Q for this analysis (the water_quality.csv dataset, 10,822 sites). Based on this dataset, NHDplus channel slopes (NHDplus_slopeSO.csv, 24,764 sites) and hydraulic geometry equations (lm_vQ.csv, 12,854 sites), we calculated partial pressure of dissolved CO2 (pCO2), gas transfer velocity (k) and CO2 effluxes (F) for a total of 813 USGS sites across conterminous US. We derived hydrologic responses (log-linear regressions) for pCO2, k and F versus Q at each site and explored how these responses varied across stream order and different regions. Ancillary datasets provided coordinates (coor_sites.xls), hydrologic unit code (HUC.csv), and watershed area of conterminous USGS sites (watersheds_area.csv).
First-order vertebrated mortality due the 2020 wildfires in the Pantanal wetland, Brazil
We conducted ground surveys along line transects to estimate the first-order impact of the 2020 wildfires on vertebrates in the Pantanal wetlands, Brazil. We adopted the distance sampling technique (Burnham et al 1980) to estimate the densities and the number of dead vertebrates in the 39,030 square kilometers affected by fire. We covered 123 transects scattered in the floodplain, up to 72 hours after the fires, mostly within 24 or 48 hours. We recorded the perpendicular distance between each carcass found in the field and the line transect. The carcasses were identified at least at Order level, down to species level when possible. The surveys were conducted from August to November 2020.
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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)
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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.