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638 results for “Oscillation”
Seismological observation of Earth's oscillating inner core
<p>This is the dataset for the paper 'Seismological observation of Earth’s oscillating inner core'.</p>
NICAM AMIP-type simulation data for the article "Deceleration of Madden–Julian Oscillation Speed in NICAM AMIP-type Simulation Associated with Biases in the Walker Circulation Strength"
<p>This data set includes data from 30-year integration on nonhydrostatic icosahedral atmospheric model (NICAM) following an atmospheric model intercomparison project (AMIP) protocol with a slab ocean model from 1 June 1978 to 6 January 2009 (c.f. Kodama et al. 2015), and their GrADs description ctl files. All outputs are daily averages on 2.5 x 2.5 degrees resolution. Output variables are outgoing longwave radiation (W m<sup>-2</sup>), skin temperature (K), sea surface temperature (K), and zonal wind (m s<sup>-1</sup>) on pressure levels.</p>
Data from: T cell morphodynamics reveal periodic shape oscillations in 3D migration
<p>Surface segmentation data of cytotoxic T cells migrating in 3D collagen matrices, imaged by lattice light-sheet microscopy and used for quantitative morphodynamic analysis in the manuscript: T Cell Morphodynamics Reveal Periodic Shape Oscillations in 3D Migration.</p>
Data from: Passive mode-locking and terahertz frequency comb generation in resonant-tunneling-diode oscillator
<p>All the raw data and processed data used in the figures in the main text and Supplementary Information in the article "Passive mode-locking and terahertz frequency comb generation in resonant-tunneling-diode oscillator."</p>
Data from: Nonprehensile Manipulation of Parts on a Horizontal Circularly Oscillating Platform with Dynamic Dry Friction Control
<p>Data from the paper "Nonprehensile Manipulation of Parts on a Horizontal Circularly Oscillating Platform with Dynamic Dry Friction Control" <a href="https://doi.org/10.3390/s21165581">https://doi.org/10.3390/s21165581</a></p> <p>This paper presents a novel method for nonprehensile manipulation of parts on a circularly oscillating platform when the effective coefficient of dry friction between the part and the platform is being dynamically controlled. Theoretical and experimental analyses have been performed to validate the proposed method and to determine the control parameters that define the characteristics of the part’s motion. A mathematical model of the manipulation process with dynamic dry friction control was developed and solved. The modeling showed that by changing the phase shift between the function for dynamic dry friction control and the function defining the circular motion of the platform, the part can be moved in any direction as the angle of displacement can be controlled in a full range from 0 to 2<em>π</em>. The nature of the trajectory and the mean displacement velocity of the part mainly depend on the width of the rectangular function for dynamic dry friction control. To verify the theoretical findings, an experimental setup was developed, and experiments of manipulation were carried out. The experimental results qualitatively confirmed the theoretical findings. The presented analysis enriches the classical theories of nonprehensile manipulation on oscillating platforms, and the presented findings are relevant for mechatronics, robotics, mechanics, electronics, medical, and other industries.</p>
[Dataset] Determining the origin of tidal oscillations in the ionospheric transition region with EISCAT radar and global simulation data
<p>Preprocessed data</p>
Oscillation results from Neutrino 2022
<p>This archive contains the electronic version (ROOT format) of the results of the measurements of oscillation parameters presented by T2K at Neutrino 2022 (Updated run 1-10 results with the additional multi-ring sample at SK).</p> <p>Both Bayesian and frequentist results are provided for the different oscillation parameters, with 2D confidence/credible regions and 1D DeltaChi2/posterior probability distributions. The Bayesian and frequentist results are separated into two different files, and additionally a tag in the TGraph and histogram names allow differentiating them.</p> <p>In addition to the results in each mass hierarchy hypothesis, the Bayesian file also includes the results marginalized over the mass hierarchy, denoted by a tag "both" in the object names. Please note that Bayesian and frequentist results use different conventions for the mass splitting in the inverted hierarchy: the Bayesian results are in terms of <span class="math-tex">\(\Delta m^2_{32}\)</span> for both normal (NH) and inverted (IH) hierarchies, whereas the frequentist results are plotted versus <span class="math-tex">\(\Delta m^2_{32}\)</span> for the NH, and <span class="math-tex">\(\left| \Delta m^2_{31} \right|\)</span> for the IH. When used, the constraint on theta13 from reactor experiment results corresponds to the value in the PDG 2020 summary table: <span class="math-tex">\(\sin^2(\theta_{13})=(2.20\pm0.07)\times10^{-2}\)</span></p> <p><strong>Objects inside the ROOT files</strong><br> ROOT objects contained inside the file are named first with an identifier of which parameter(s) are being shown, followed by a tag "wRC" or "woRC" - indicating whether or not the PDG constraint on theta13 has been applied, followed by another tag "NH", "IH" or "both" - indicating whether the result is respectively for the normal hierarchy, inverted hierarchy or marginalized over the mass hierarchy (this last case is only included in the Bayesian result file).</p> <p><strong>2D regions</strong><br> Objects of the form gr2D_varX_varY_<wRC,woRC>_<NH,IH,both>_<conf,cred><68,90,955,997>(_N) are TGraphs corresponding to the 2D confidence ("conf") or credible ("cred") regions for the 2 variables (varX, varY). N is the iterator for different TGraphs corresponding to the same region. 68, 90, 955, 997 correspond respectively to 1-sigma, 90%, 2-sigma, and 3-sigma regions.</p> <p>The best-fit markers are also provided for the 2D results:<br> gr2D_varX_varY_<wRC,woRC>_<NH,IH,both>_bestfit</p> <p>The best fit markers and contour lines are computed for each MH *separately*, i.e. assuming DeltaChi2 is 0 at the minimum or that the total posterior probability integrates to 1 in the mass hierarchy considered.</p> <p><strong>1D properties</strong><br> Objects of the form h1D_var<chi2,posterior>_<wRC,woRC>_<NH,IH> are TH1D of the DeltaChi2 ("chi2") or posterior probability ("posterior") for oscillation parameter "var".</p> <p>The Bayesian and frequentist results use different conventions with respect to the mass hierarchy:<br> - 1D DeltaChi2 plots use a global minimum over both hierarchies<br> - each 1D posterior probability plot integrates to unity *individually*</p> <p> </p>
Fig. 7 in Broadly Distributed but Genetically Fragmented: Demographic Consequences of Pleistocene Climatic Oscillations in a Common Iberian Grasshopper
Fig. 7. Demographic history of the studied populations of Pantel's grasshopper (Omocestus panteli) inferred using STAIRWAY PLOT. Panels show the median of effective population size (N) over time, estimated assuming a mutation rate of 2.8 × 10−9 and a 1-yr generation time (both axes in a logarithmic scale). Vertical e dashed lines indicate the Last Glacial Maximum (LGM; ca. 21 ka). Number of polymorphic SNPs used to calculate the site frequency spectrum (SFS) indicated in parentheses. Colors correspond to the main genetic cluster at which populations were predominantly assigned according to STRUCTURE analyses for K = 6 (Fig. 3). Population codes as described inTable 1.
Fig. 6 in Broadly Distributed but Genetically Fragmented: Demographic Consequences of Pleistocene Climatic Oscillations in a Common Iberian Grasshopper
Fig. 6. Relationships (A) between genetic diversity (π) and latitude and (B) between long-term effective population size (Ne) and environmental suitability during the last glacial maximum (LGM) inferred by projecting the species-specific environmental niche model (ENM) to LGM bioclimatic conditions under the CCSM4 general atmospheric circulation model.
Fig. 5 in Broadly Distributed but Genetically Fragmented: Demographic Consequences of Pleistocene Climatic Oscillations in a Common Iberian Grasshopper
Fig. 5. Relationship between genetic differentiation (FST) and resistance distances based on environmental suitability during the LGM inferred by projecting the species-specific environmental niche model (ENM) to LGM bioclimatic conditions under the CCSM4 general atmospheric circulation model.
Fig. 3 in Broadly Distributed but Genetically Fragmented: Demographic Consequences of Pleistocene Climatic Oscillations in a Common Iberian Grasshopper
Fig. 3. Results of genetic assignments for populations of the Pantel's grasshopper (Omocestus panteli) based on the Bayesian method implemented in the program STRUCTURE and a discriminant analysis of principal components (DAPC). Each individual is represented by a vertical bar, which is partitioned into K-colored segments showing the individual's probability of belonging to the cluster with that color.Thin vertical black lines separate individuals from different populations. Analyses are based on a dataset of 14,454 SNPs. Population codes as described inTable 1.
Fig. 1 in Broadly Distributed but Genetically Fragmented: Demographic Consequences of Pleistocene Climatic Oscillations in a Common Iberian Grasshopper
Fig. 1. (A) Map showing the geographical location of sampling populations of Pantel's grasshopper (Omocestus panteli), with dot colors indicating their respective levels of genetic diversity (π, in red to blue scale). Dot size is proportional to the number of genotyped individuals (Table 1). (B–D) Projections of the species-specific environmental niche model (ENM) for (B) present and (C–D) last glacial maximum (LGM) bioclimatic conditions under the (C) CCSM4 and (D) MIROC-ESM general atmospheric circulation models. Map in the present shows occurrence points (crosses) used for ENM. Population codes as described in Table 1.
Figure files for Coherent spin-valley oscillations in silicon
<p>This repository contains .fig (matlab) files corresponding to the figures in Coherent spin-valley oscillations in silicon.</p>
Cochlear theta activity oscillates in phase opposition during interaural attention
<p>Preprocessed data and analysis-scripts needed to reproduce the figures and statistics of the paper "Cochlear theta activity oscillates in phase opposition during interaural attention".</p>
Oscillations in the granular layer of a cerebellum cortex model
<p>Oscillations in the granular layer of a cerebellum cortex model</p>
Data for article "Quantum Correlations of Light from a Room-Temperature Mechanical Oscillator"
<p>Figures data, data processing code and sample fabrication details for article "Quantum Correlations of Light from a Room-Temperature Mechanical Oscillator", </p> <p>Phys. Rev. X <strong>7</strong>, 031055 – Published 26 September 2017</p>
Dataset from: "The necessity to choose causes reward-related anticipatory biasing: Parieto-occipital alpha-band oscillations reveal suppression of low-value targets"
<p>Dataset from the following publication:</p> <p>Heuer, A., Wolf, C., Schütz, A. C., & Schubö, A. (2017). The necessity to choose causes reward-related anticipatory biasing: Parieto-occipital alpha-band oscillations reveal suppression of low-value targets. Scientific Reports, 7:14318. doi:10.1038/s41598-017-14742-w</p>
Figure 4 in Effects of Quaternary climatic oscillations over the Chacoan fauna: phylogeographic patterns in the southern three-banded armadillo Tolypeutes matacus (Cingulata: Chlamyphoridae)
Figure 4. Effective size change over time estimated from BSP analysis corresponding to all the localities for each marker. The y-axis represents the effective size (Ne) expressed on a logarithmic scale. The x-axis represents time in millions of years (Myr) before the present. The dark blue lines represent the median effective population size over time, and the lighter blue areas the range of Ne values with posterior densities higher than 95%. Expansion signals were highlighted in yellow. The analyses for the northern and southern groups are shown in the Supporting Information, Figure S1.
Figure 3 in Effects of Quaternary climatic oscillations over the Chacoan fauna: phylogeographic patterns in the southern three-banded armadillo Tolypeutes matacus (Cingulata: Chlamyphoridae)
Figure 3. Left panel (A) shows groups recovered by Bayesian inference in GENELAND. The middle and right panels present spatial distribution of posterior probability to belong to cluster north (B) and south (C).
Figure 2. Geographic distribution and haplotype networks for 12S in Effects of Quaternary climatic oscillations over the Chacoan fauna: phylogeographic patterns in the southern three-banded armadillo Tolypeutes matacus (Cingulata: Chlamyphoridae)
Figure 2. Geographic distribution and haplotype networks for 12S (top panels) and control region (bottom panels). The panels on the left plot the geographical distribution and frequency of haplotypes in the different localities analysed. Localities were labelled according to their ID (see Table 1). The right panels show the haplotype networks, where the dashes on the lines represent mutations, and the black circles represent intermediate variants not found. Principal Chacoan rivers are shown in light-blue labels. Capitalized labels indicate names of Argentinean provinces, and labels with all letters in uppercase refer to neighbouring countries.
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.