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61,240 results for “two”
Two fragmentary Sanskrit inscriptions from Ujjain
<p>Two fragments of a Sanskrit inscription on polished black stone, found in the grounds of the Mahakal temple at Ujjain, Madhya Pradesh, and photographed at the Madhav College under the archaeology department of Gwalior State in the year 1924-25, samvat 1981, glass negative no. 227.</p>
SU(2) gauge theory with one and two adjoint fermions towards the continuum limit—data release
<p>This package contains all data generated in preparing the publication <a href="https://arxiv.org/abs/2408.00171">SU(2) gauge theory with one and two adjoint fermions towards the continuum limit</a>. It includes four classes of data:</p> <ol> <li>Raw data, as generated from the measurement code running on HPC, in their native formats (raw_data.zip).</li> <li>Metadata around the analysis of the ensembles, in YAML format (ensembles.yaml).</li> <li>Data obtained by analysing the above data and presented in <a href="https://arxiv.org/abs/2408.00171">arXiv:2408.00171</a>, for specific ensembles, in sqlite3 format (su2.sqlite).</li> <li>The above data in (3), and additional data obtained by further analysing them, in CSV format (ensemble_results.csv and gammastar_results.csv).</li> <li>For convenience, the data in (1) above, repackaged in HDF5 format (package.h5).</li> </ol> <p>Each of these is documented in more detail in the file README.md.</p> <p>Due to their size, raw gauge configurations are not included in this package.</p> <p> </p>
BepiColombo magnetic field data (MPO-MAG) from the two Venus flybys
<p> </p> <p>Vector magnetic field data from the first two Venus flybys (highres and 1-sec res).</p> <p>*Data will be properly archived on ESA's PSA, once the data has been finalized and/or cleaned*</p> <p>Reference frame: VSO</p> <p>Trajectory information is also included. </p>
Two-wave Post-Disaster Survey on Climate Change Attitudes: Texas after Hurricane Harvey and the 2021 North American Winter Storms
<p><strong>Overview</strong></p> <p>This repository contains data needed to reproduce the analysis results from Chen et al. 2024. "Disaster Experience Mitigates the Partisan Divide on Climate Change: Evidence from Texas," <em>Global Environmental Change</em>. It is a study about climate change attitudes and experience with climate disasters across U.S. partisan groups. For details about the data, please see the published paper. Results reproduction code is available at <a href="https://github.com/tedhchen/floodStorm" target="_blank" rel="noopener">https://github.com/tedhchen/floodStorm</a>.</p> <p> </p> <p><strong>Data Set Details</strong></p> <p>`texas_climate_attitudes.csv` contains data from two waves of surveys of Democrats and Republicans living in Texas, with the following groups of variables.</p> <ul> <li>climate change attitudes</li> <li>self-reported exposure to climate disasters</li> <li>scientific information treatment condition and checks</li> <li>political leaning</li> <li>sociodemographics and residential location</li> <li>survey administration details</li> </ul> <p>`outage2021_data.RData` contains power outage data for counties and cities in Texas during Feb. 2020 and Feb. 2021.</p> <p>`outage2021_data_multithreshold.RData` contains power outage data for counties and cities in Texas during Feb. 2020 and Feb. 2021, aggregated to the county level based on different thresholds of uncertainty about which cities people live in.</p> <p>`gtrends_archive.RData` contains Google Trends data for "hurricane", "astros", and "power", in Texas between 2017 and 2021.</p> <p> </p> <p><strong>References</strong></p> <p>Please reference the original study when using this data set.</p> <p>Ted Hsuan Yun Chen, Christopher J. Fariss, Hwayong Shin, Xu Xu. 2024. "Disaster Experience Mitigates the Partisan Divide on Climate Change: Evidence from Texas." <em>Global Environmental Change</em>. <a href="https://doi.org/10.1016/j.gloenvcha.2024.102918" target="_blank" rel="noopener">doi:10.1016/j.gloenvcha.2024.102918</a>.</p>
The geographic scale of population level variation in growth and nodulation differs for two species of the prairie clover
<p>Zenodo deposit for Pozzi et al (2024) AJB</p> <p>The geographic scale of population level variation in growth and nodulation differs for two species of the prairie clover</p> <p><strong> _____________________________________________________________________________________________________________________________________</strong></p> <p><strong>The geographic scale of population level variation in growth and nodulation differs for two species of the prairie clover</strong></p> <p>Adrien C.M. Pozzi<sup>1,2</sup>, Ruth G. Shaw<sup>1</sup>, Georgiana May<sup>1,3</sup></p> <p><sup>1</sup> Department of Ecology, Evolution and Behavior, University of Minnesota Twin-Cities, St Paul, MN 55108. <sup>2</sup> Current affiliation: Universite Claude Bernard Lyon 1, Laboratoire d'Ecologie Microbienne, UMR CNRS 5557, UMR INRAE 1418, VetAgro Sup, 69622 Villeurbanne, France. ORCID: 0000-0001-6765-4293. <sup>3</sup> Correspondence: Georgiana May (gmay@umn.edu)</p> <p><em><strong>Keywords:</strong></em></p> <p>conservation; <em>Dalea</em> spp.; habitat fragmentation; mutualism; nitrogen-fixing symbiosis; population level variation; native prairie legume; restoration; rhizobia</p> <p><em><strong>Description:</strong></em></p> <p>This Zenodo deposit is part of the MN LCCMR Healthy Prairies project granted to R. Shaw and G. May, UMN Twin-Cities. It contains the following files:</p> <p><span><span>·<span> </span></span></span>“Metadata & data” spreadsheet. <em>Contains metadata and data about the Twin Valley experiment (including the position of plants, an intermediary census, growth and nodulation traits for harvested plants, data on bacterial isolates from root nodules, and source modifiers for GenBank accessions OQ732394-OQ732572).</em></p> <p><span><span>·<span> </span></span></span>“Blast alignments output.txt” text file. <em>Contains ouput of Blastn alignements for the 16S rRNA genes of bacterial isolates against the rRNA_typestrains/16S_ribosomal_RNA 16S ribosomal RNA (Bacteria and Archaea type strains) database, to determine the genus as recommended by GenBank during sequence submission.</em></p> <p><span><span>·<span> </span></span></span>“General script.R”. <em>R script of the general statistical analyses produced for publication.</em></p> <p><span><span>·<span> </span></span></span>“General environment.RData”.<em> The companion RData (environment) of the above R script.</em></p> <p><span><span>·<span> </span></span></span>“Trait model script.R”. <em>R script of the plant trait models produced for publication</em></p> <p><span><span>·<span> </span></span></span>“Trait model environment.RData”. <em>The companion RData (environment) of the above R script.</em></p> <p><strong><em>Acknowledgments:</em></strong></p> <p>The authors thank members of the May Lab (Mai Beauclaire, Em Daily, Mara Demers, Kane Keller, Cedric Ndinga-Muniania, Liam Vertal, Monica Watson) for their help in field and lab work. We thank members of the Healthy Prairies project (Shelby Flint, Anna Peschel, Bill Peterson) who provided much of the infrastructure that made this project possible, as well as help in setting up field experiments. We also thank volunteer undergrads from University of Minnesota Morris (Amelia Nelson, Emily Job, Lily Fulton) for assistance in measuring harvested plants and counting nodules. Funding for this project was provided by the Minnesota Environment and Natural Resources Trust Fund as recommended by the Legislative-Citizen Commission on Minnesota Resources (LCCMR) Project 00086965, Healthy Prairies.</p> <p> </p>
Data on Quasi-1D Moiré superlattices in self-twisted two-allotropic antimonene heterostructures
<p><span> 1. LEED patterns collected for α-Sb and β-Sb phases deposited on W(110) substrate. The diffraction pattern acquired for a clean W(110) substrate with an electron energy of 46 eV and the μLEED patterns collected for α-Sb and β-Sb phases with electron energies of 43 eV and 23 eV, res</span></p> <p><span>E 2. LEEM images collected during deposition of Sb on W(110) substrate at 130 °<span>C. </span>All LEEM images were collected with an electron energy of 6.75 eV and <span>FOV = 10 μm</span>.</span></p> <p><span><span>3 3. </span></span><span>The set of micro LEED images showing isotropic character of the orientation of β-Sb inclusions on α-Sb layer in β-Sb/ α-Sb heterostructure.</span></p> <p><span><span>4 4. </span></span><span>μLEED patterns recorded for the α‑Sb phase and the β-Sb/α‑Sb heterostructure collected with electron energies of 43 eV and <a name="_Hlk160621262"></a>26 eV, respectively.</span></p>
Metrics for two-sample tests: results on JetNet dataset
<p>The repository includes version 1.0 (v1.0) of the code and results corresponding to the GitHub repository <a href="https://github.com/TwoSampleTests/JetNetMetrics" target="_blank" rel="noopener">JetNetMetrics</a>.</p> <p>Publishing information and arXiv identifier will be added after publication of the main manuscript related to the data.</p>
Metrics for two-sample tests: results on Mixture of Gaussians and Correlated Gaussians models
<p>The repository includes version 1.0 (v1.0) of the code and results corresponding to the GitHub repository <a href="https://github.com/TwoSampleTests/GenerativeModelsMetrics">GenerativeModelsMetrics</a>.</p> <p>Publishing information and arXiv identifier will be added after publication of the main manuscript related to the data.</p>
Eleven years of training data for south foehn for two valleys in the Eastern Alps
<p>This south foehn training data is suited for machine learning purposes. </p> <p>It was created by applying objective foehn classification (OFC, Vergeiner 2004) on hourly data of various stations in the Eastern Alps in Austria. The two valleys Rhine and Inn and two intensities are available on a daily basis, where</p> <ul> <li>0.0 means no foehn on that day,</li> <li>0.5 means localised foehn on that day (at least one third and up to half the stations in the region responded to OFC),</li> <li>1.0 means widespread foehn on that day (more than half the stations in the region responded to OFC),</li> </ul> <p>provided for each valley individually.</p> <p>A paper, where the process of creation is described, is in preperation and will be linked as soon as it is reviewed. </p>
Reproduction package for the paper "Two waves of massive stars running away from the young cluster R136"
<h2>Reproduction package for the paper "Two waves of massive stars running away from the young cluster R136".</h2> <ul> <li>This reproduction package aims for open science, with the internal API designation of 'Gold'</li> <li>Authors: M. Stoop, A. de Koter, L. Kaper, S. Brands, S. Portegies Zwart, H. Sana, F. Stoppa, M. Gieles, L. Mahy, T. Shenar, D. Guo, G. Nelemans, S. Rieder</li> <li>Paper DOI: https://doi.org/10.1038/s41586-024-08013-8</li> <li>Zenodo DOI: http://doi.org/10.5281/zenodo.10058762</li> <li>Published in Nature (date of publication: 2024/10/09)</li> </ul> <h2>Hardware</h2> <ul> <li>Tested on a MacBook Pro (13-inch, 2020, Four Thunderbolt 3 ports)</li> <li>Processor: 2 GHz Quad-Core Intel Core i5</li> <li>Memory: 32 GB 3733 MHz LPDDR4X</li> <li>Graphics: Intel Iris Plus Graphics 1536 MB</li> </ul> <h2>Required non-standard hardware</h2> <ul> <li>None</li> </ul> <h2>Software dependencies</h2> <ul> <li>Jupyterlab (4.0.8)</li> <li>Notebook (7.0.6)</li> <li>Programming languages used: Python (3.11.7)</li> <li>Python packages used: numpy (1.25.2), pandas (2.1.4), matplotlib (3.8.0), os (comes with Python) scipy (1.11.4), gaiadr3-zeropoint (0.0.4) https://gitlab.com/icc-ub/public/gaiadr3_zeropoint), astroquery (0.4.6), pymc (5.6.1), corner (2.2.2), arviz (0.16.0), pytensor (2.12.3), lmfit (1.2.2), powerlaw (1.5), rpy2 (3.5.16), seaborn (0.12.2), consistencytest (0.0.2)</li> </ul> <h2>Instructions</h2> <ul> <li>The Anaconda conda environment is given should this be needed</li> <li>All Jupyter Notebooks are ready-made to produce the raw data, intermediate and end data products</li> <li>Gaia raw data is downloaded in the Jupyter Notebook "R136_runaway_candidates.ipynb"</li> <li>Data from the literature is given in the subdirectory /tables/ or /input_files/</li> <li>Input images and files are given in the subdirectory /input_files/</li> <li>Intermediate and end data products are given in /output_files/</li> <li>Figures in the paper are produced in the Jupyter Notebooks in the subdirectory /figures/ and stored in the subdirectory /figures/figures_paper/</li> </ul> <h2>Expected Output</h2> <ul> <li>Jupyter Notebooks can be executed by "Run" -> "Run All Cells"</li> <li>The Jupyter Notebook show the expected output in their respective cell</li> <li>Expected runtime are given at the top of each Jupyter Notebook</li> <li>The Jupyter Notebook which takes the longest "R136_runaway_search.ipynb" takes 7-8 hours for the entire dataset</li> <li>A small dataset has been given in this Jupyter Notebook as a proof-of-concept</li> </ul> <h2>Instructions for use</h2> <ul> <li>Jupyter Notebooks can be executed by "Run" -> "Run All Cells"</li> </ul> <h2>Figures</h2> <ul> <li>Figures can be reproduced from the /figures/ folder.</li> <li>All material and data used are available either in the Raw Data or in the Intermediate Data</li> <li>The figures shown in the paper will be saved in ./figures/figures_paper/ folder.</li> </ul> <pre> </pre>
Magnetic arch plasma expansion in a cluster of two ECR plasma sources (RPA and FC measurements)
<p>- Data from: Magnetic arch plasma expansion in a cluster of two ECR plasma sources (RPA and FC measurements)</p> <p>- Authors: Célian Boyé, Jaume Navarro-Cavallé, Mario Merino</p> <p>- Contact email: <a href="mailto:cboye@ing.uc3m.es" target="_blank" rel="noopener">cboye@ing.uc3m.es</a></p> <p>- Date: 2024-10-24</p> <p>- Version: 1.0</p> <p>- License: This dataset is made available under the <a href="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</a></p> <p> </p> <h2>Abstract</h2> <p>This dataset contains the raw experimental data employed in:</p> <p>Célian Boyé, Jaume Navarro-Cavallé, Mario Merino, "Magnetic arch plasma expansion in a cluster of two ECR plasma sources", Journal of Electric Propulsion.</p> <p>Which is currently submitted.</p> <p> </p> <h2>Dataset description</h2> <p>The experimental data is gathered by means of a Retarding Potential Analyzer (RPA) and a Faraday Cup (FC). The probes have been set on a polar probing arm system to scan the central horizontal plane of the setup, aligned with the axis of symmetry of the assembly and pointing toward the origin at the exit plane of the source(s).</p> <p>The RPA data is provided separately for every spatial position inspected for each configuration (S0, S1, D0, DA, DB). It is collected by means of an Impedance-Semion Retarded Potential Analyser, with a mean resolving voltage of 1V. The FC data is provided for the DA configuration to support the RPA measurements. </p> <p>Please refer to the corresponding article for further details regarding the data collection.</p> <p> </p> <h2>Data files</h2> <p>The data files are in standard comma separated values .csv format. Many programming languages provide functionalities to load such fields.</p> <ul> <li> <h3>RPA data</h3> </li> </ul> <p>The RPA data is separated through the different configurations:</p> <ul> <li> <ul> <li>S0: single ECR source without applied magnetic field.</li> <li>S1: single ECR source with applied magnetic field.</li> <li>D0: cluster of ECR sources without applied magnetic field.</li> <li>DA: cluster of ECR sources with opposed polarity.</li> <li>DB: cluster of ECR sources with same polarity.</li> </ul> </li> </ul> <p>The angle steps vary through the different configurations. Each file contains 8 headlines. </p> <ul> <li> <ul> <li>The first column contains the voltage applied to the sweeping grid (V).</li> <li>The second to sixth columns contain the current collected by the collector (A).</li> <li>The eventh to eleventh columns contain the derivative of the collected current by the voltage (A/V).</li> </ul> </li> </ul> <ul> <li> <h3>FC data</h3> </li> </ul> <p>The FC data has been probed for the DA configuration. The file contains 2 headlines.</p> <ul> <li> <ul> <li>The first column contains the angle at which the current has been collected (deg).</li> <li>The second column contains the distance from the origin at the exit plane of the cluster (mm).</li> <li>The third column contains the collected current (A).</li> </ul> </li> </ul> <p> </p> <h2>Citation</h2> <p>Works using this dataset or any part of it in any form shall cite it as follows.</p> <p>The preferred means of citation is to reference the publication associated to this dataset, as soon as it is available.</p> <p>Optionally, the dataset may be cited directly by referencing the corresponding DOI: 10.5281/zenodo.13987138</p> <p> </p> <h2>Acknowledgments</h2> <p>This work has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (project ERC-STG ZARATHUSTRA, grant agreement No 950466). </p>
Review of Polydora species from Brazil, with identification key and description of two new species (Annelida: Spionidae)
<p>Supplementary Material for the article published by the <strong><em>Ocean and Coastal Research</em> Journal</strong></p> <p>Complete information on the material examined during this study and records by other authors is given in Supplementary Tables S1−11. A list of the museums and other collections (and their acronyms) holding the samples which are reported in this study is given in Table ESM12.</p>
Datasets for "Turbulent magnetic decay controlled by two conserved quantities"
<pre>This directory contains an index.html file with links to the run directories and idl plotting routines with secondary data for the other figures for the paper "Turbulent magnetic decay controlled by two conserved quantities" by A. Brandenburg, & A. Banerjee. If anything turns out to be incomplete, please email brandenb@nordita.org.</pre>
Two-bubble envelope approximation code and results
<p>This deposit contains the code required to carry out the envelope approximation simulations used in the paper with preprint title <em>Vacuum bubble collisions: from microphysics to gravitational waves</em> by Oliver Gould, Satumaaria Sukuvaara, and David Weir.</p> <p>The method and results are based on the following papers:</p> <ul> <li><em>Gravitational Wave Production by Collisions: More Bubbles</em> by Stephan J. Huber and Thomas Konstandin [<a href="https://arxiv.org/abs/0806.1828">arXiv:0806.1828</a>].</li> <li><em>Gravitational radiation from colliding vacuum bubbles: envelope approximation to many bubble collisions</em> by Arthur Kosowsky and Michael S. Turner [<a href="https://arxiv.org/abs/astro-ph/9211004">arXiv:astro-ph/9211004</a>].</li> <li><em>Gravitational radiation from colliding vacuum bubbles </em>by Arthur Kosowsky, Michael S. Turner and Richard Watkins<em> </em>[<a href="https://inspirehep.net/literature/324187">Inspire</a>].</li> </ul> <p>In the latter paper the envelope approximation is introduced in Appendix C.</p> <p>There are two files:</p> <ul> <li><strong>dweir-envelope-b2842c4827ad.zip</strong> is a snapshot of the <a href="https://bitbucket.org/dweir/envelope/">Bitbucket-hosted Git repository for the simulation code</a>, corresponding to <a href="https://bitbucket.org/dweir/envelope/src/v1.1.0/">the commit tagged <em>v1.1.0</em></a>. Later versions of the code may exist. The snapshot was generated by the Bitbucket service and does not include the Git metadata.</li> <li><strong>two-bubbles-envelope-data.tar.gz </strong>is an archive of the simulation results used to generate the envelope approximation results seen in the preprint, as well as numerical tests and some additional numerical explorations. While the results were generated with a slightly earlier version of the code than the tagged release in this deposit, they have been confirmed to be reproducible with the code provided.</li> </ul> <p>Both archives contain README.md files with further information.</p>
A database solutions for the type two assembly line balancing problems
<p> Assembly Line Balancing Problems have a significant impact on performance of manufacturing systems, specially for the cases of mass production. These problems are widely cited and treated in the literature. </p> <p>One from the most important variants of those problems is the “Task Restrictions Assembly Line Balancing Problem” of type 2. For this problem, a set of tasks need to be affected to a predefined number of stations m from the way that minimises the cycle time and respects a set of constraints related to precedence and compatibility between tasks (Triki et al., 2016).</p> <p>For this variant we suggest an innovative speed and effective approach based on the hybridisation of two powerful tools: the ant colony optimisation and the genetic algorithm. The effectiveness of this approach is evaluated through a set of instances collected from the literature (Thomas, 1990; Triki et al., 2016) .</p> <p>This document presents the best generated solutions for those problems. </p> <p> </p> <p> </p>
Database of the assessment of two instructional design variables in verbal reasoning and mathematical reasoning courses from the perspective of a Peruvian pre-university center students
<p>These are the data obtained from 4 evaluations made to a sample of 630 students of a Peruvian pre-university center. First, two study variables were evaluated: teaching sequence compliance and the student's educational need according to the perspective of 315 students of the verbal reasoning course. Second, the same study variables were assessed in the remaining 315 students of the mathematical reasoning course. This information is being used in research to obtain an academic degree and later to make a publication of a scientific article.</p> <p>For the treatment of these data, inferential statistics was used through the software R version 3.4.4 (2018) The R Foundation for Statistical Computing.</p>
NO2 Corrected Timeseries of AOD at 440,400 nm, Angstrom Exponent for Two Sites in Rome
<p>Dataset Created in the framework of QA4EO wp2360. Timeseries of AOD 440nm for AERONET stations SAP and ISAC in Rome, Italy, AOD 400nm for Skynet station in SAP and corresponding ånström exponents, corrected for Total NO2 effect, using PNG data. Time period 2017-2022</p>
Soil gas concentration and flux data from two peatland forest harvesting experiments in Southern Finland
<p>The dataset contains data analyzed in a scientific manuscript Peltoniemi et al., <em>Soil CO<sub>2</sub>, CH<sub>4</sub> and N<sub>2</sub>O concentrations and fluxes in peatland forests are associated with water table level - implications of selection harvesting on soil emissions</em>, in review.</p> <p>The data was collected from two peatland forests. The sites Lettosuo (60.63° N, 23.95° E ) and Paroninkorpi (61.01°N, 24.75°E) locate in southern Finland, and they are fertile drained spruce mires. Both sites have unharvested control and selection harvested treatments.</p> <p>The dataset contains CO<sub>2</sub>, CH<sub>4</sub>, N<sub>2</sub>O and O<sub>2</sub> concentrations analyzed by gas chromatograph from soil gas samples collected with silicon rubber tubes inserted into soil at different depths over the year 2018-2020. The dataset additionally contains soil gas flux measurements in 2020 with a portable gas analyzer. Air temperature and water table level were measured at both sites, rainfall in nearby meteorological stations, and soil redox potential at one of the sites (Paroninkorpi).</p> <p>More information about the research sites and data is available in the manuscript, and Laurila et al., 2020 (<a href="http://urn.fi/URN:ISBN:978-952-380-191-2">http://urn.fi/URN:ISBN:978-952-380-191-2</a>).</p>
Data for "The Heritage Digital Twin: a bicycle made for two."
<p>The file contains the data used in the case studies of the paper "The Heritage Digital Twin: a bicycle made for two. The integration of digital methodologies into cultural heritage research" published on ORE.</p>
Supplementary material for "Increased sensitivity of marine invertebrates to metal toxicity in the past two decades linked to Climate Change and Ocean Acidification: revelations from a natural population of sea urchins in the Mediterranean Sea." by "Davide Sartori, Guido Scatena, Cristina Vrinceanu, Andrea Gaion".
<p>Satellite observations of environmental factors and effect concentration 50 for copper to sea urchin, from 2003 to 2022.</p>
ScienceDex guides
Understand access before you commit
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.