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16 results for “localized modes”
[Dataset] Simultaneous laser ultrasonic measurement of sound velocities and thickness of plates using combined mode local acoustic spectroscopy
<p>Research data for the purpose of reproducing the results presented in the journal publication titled "Simultaneous laser ultrasonic measurement of sound velocities and thickness of plates using combined mode local acoustic spectroscopy"</p>
A localization transition underlies the mode-coupling crossover of glasses
<p>This dataset is associated to "A localization transition underlies the mode-coupling crossover of glasses" by D. Coslovich, A. Ninarello and L. Berthier [<a href="https://arxiv.org/abs/1811.03171">https://arxiv.org/abs/1811.03171</a>].</p> <p>It includes post-processed data and workflow to reproduce the analysis and the figures of the article and of the supplemental information.</p> <p><strong>Supplementary information is available in the Supplement section of the project document (project.pdf).</strong></p> <p>The easiest way to reproduce the analysis and figures, and then check the results, is to use the make script:</p> <pre><code class="language-bash">./make all</code></pre> <p>Alternatively, the analysis and figures can be reproduced in any of the following ways</p> <ul> <li>following the workflow described in the <a href="https://orgmode.org">org-mode</a> project file project.org</li> <li>using the individual bash and gnuplot scripts in src/ and plots/</li> </ul> <p>Folders and files description:</p> <ul> <li>analysis/: post-processed data</li> <li>src/: bash, python and gnuplot scripts needed to reproduce the analysis</li> <li>plots/: eps figures that appear in the paper and supplemental information and associated gnuplot scripts</li> <li>make: convenience script to setup the python environment, analyze the data and reproduce the figures</li> <li>project.org: org-mode project file with workflow and supplemental information</li> <li>project.pdf: pdf project file with workflow and supplemental information</li> <li>project.bib: bibtex bibliography associated to the project</li> <li>project.setup: org-mode export configuration</li> </ul> <p>Dependencies:</p> <ul> <li>numpy (1.21.6)</li> <li>scipy (1.11.1)</li> <li>argh (0.26.2)</li> <li><a href="https://pypi.org/project/atooms/">atooms</a> (1.9.1)</li> <li>gnuplot (5.0.0)</li> </ul> <p>The analysis scripts have been tested with python 3.8. The org-mode project file has been tested with org version 9.1.13.</p> <p>Note: this dataset does not contain (at least yet) the particle configurations associated to saddle points, only the post-processed files containing selected properties of their normal modes.</p> <p>Changelog:</p> <ul> <li>1.2.2 <ul> <li>fix requirements</li> </ul> </li> <li>1.2.1 <ul> <li>fix ./src/adiff.py</li> <li>fix final check of ./make all</li> <li>improve pdf layout</li> <li>improve handling of org properties</li> </ul> </li> <li> <ul> </ul> </li> <li> <ul> </ul> </li> <li>1.2.0 <ul> <li>add analysis of eigenvector-following optimizations</li> <li>small changes and fixes to analysis scripts</li> </ul> </li> <li>1.1.0 <ul> <li>add "all" target to ./make</li> <li>fix ./make check</li> <li>improve setup description</li> </ul> </li> <li>1.0.0 <ul> <li>initial submission</li> </ul> </li> </ul>
Fig. 10. The lecanocrinid species Ammonicrinus sulcatus from locality 1 in Revision of the flexible crinoid genus Ammonicrinus and a new hypothesis on its life mode
Fig. 10. The lecanocrinid species Ammonicrinus sulcatus from locality 1 (A–G, I–Q) and 2 (H) (see Appendix 1). A–D. Facet views of GIK−2104–2107, showing nodular tubercles and spine−tubercles on exterior flanks of the columnals of the mesistele. E. Facet view (E1) and view of the exterior flank of a specimen (E2) (GIK−2108), showing tubercles and spine−tubercles on exterior flank of the columnal of the mesistele. F. Facet view of a specimen (GIK−2109), showing tubercles and spine−tubercles on exterior flank of the columnal of the mesistele. G. Facet view of a strongly sculptured columnal (GIK−2110) of the distal−most mesistele, showing connection to the dististele. H. Facet view of a columnal of the distal−most mesistele (GIK−2111), showing long LCEE and connection to the dististele. I. Facet view of a columnal of the distal−most mesistele (GIK−2112), showing relatively long LCEE and connection to the dististele. J. Interior view of a distal−most, barrel−like columnal of the mesistele (GIK−2113) with LCEE. K. Interior view of a distal−most, barrel−like columnal of the mesistele (GIK−2114), with partly preserved LCEE. L. Facet view of a juvenile distal columnal of the mesistele (GIK−2115) with nodular tubercles on exterior flank and on LCEE. M–N. Juvenile columnals of the proximal mesistele in facet views, showing well developed nodes on exterior flanks. M. GIK−2116. N. GIK−2117. O. Facet view of a juvenile distal columnal of the mesistele (GIK−2118) with nodular tubercles on exterior flank and on LCEE. P. Lateral view (P1) and view of the exterior flank (P2) of the partly preserved mesistele (GIK−2119); the specimen shows nodular tubercles, spine−tubercles and a few partly preserved spines (arrow). Q. Facet view (Q1) and lateral view (Q2) of a cracked, coiled mesistele (GIK−2120), showing several tuberculated and concave ossicles of the cup (arrows). Scale bars 10 mm.
Localized Topological States beyond Fano Resonances via Counter-Propagating Wave Mode Conversion in Piezoelectric Microelectromechanical Devices
<p>Main numerical and experimental data (Matlab .fig files) of the paper <em>Localized Topological States beyond Fano Resonances via Counter-Propagating Wave Mode Conversion in Piezoelectric Microelectromechanical Devices.</em></p>
Data Set "Benchmarking of Vibrational Exciton Models Against Quantum-Chemical Localized-Mode Calculations"
<p>This data set accompanies the publication "Benchmarking of Vibrational Exciton Models Against Quantum-Chemical Localized-Mode Calculations" <br>by Anna M. van Bodegraven, Kevin Focke, Mario Wolter, and Christoph R. Jacob <br>(TU Braunschweig, Germany) </p> <p>It contains the following files:</p> <p><br>Directory '01_AIM':</p> <p> - input (structure.pdb, topol.top and *_input.txt) and results (*.log and<br> Hamiltonian/AtomPos/Dipole/Parameters.txt) from frequency calculations<br> with the Amide-I-maps (AIM) program for six polypeptide test cases<br> (1gpB_310, ala_310, ala_hairpin, ala_helix, ala_strand, and trpzip), <br> each in vacuo or water with three different maps (Jansen, Skinner, <br> Tokmakoff) for 11 snapshots based on a MD run.<br> To rerun the calculations, you will have to change the paths in <br> the *_input.txt files (topfile, trjfile, sourcedir) accordingly<br> <br>Directory '02_SNF':</p> <p> - results (*.dat, *.out, coord and control) from frequency calculations <br> using Turbomole, SNF, and LocVib for six polypeptide test cases<br> (1gpB_310, ala_310, ala_hairpin, ala_helix, ala_strand, and trpzip) <br> each in vacuo or water for snapshots based on an MD run.<br> <br>Directory '03_NMA':</p> <p> - coordinates and results from pyADF for NMA molecules each alligned <br> with a peptide bond from the six polypeptide test cases<br> (1gpB_310, ala_310, ala_hairpin, ala_helix, ala_strand, and trpzip) <br> each in water for 11 snapshots based on a MD run and input <br> (*_input.txt) and results (*.log and Hamiltonian/AtomPos/Dipole/Parameters.txt) <br> from calculations with the Amide-I-maps (AIM) program<br> <br>Directory '04_Handling_Data':</p> <p> - contains all used notebooks to extract the data, plot the figures <br> and calculate the errors<br> - RMSD_Error_vacuo/water.ipynb is used to calculate the overall shifts <br> and generates a map-dependent mean value to shift the frequencies of AIM<br> - Frequencies.ipynb and Couplings.ipynb are used to plot the figures <br> - RMSD_values_vacuo/water.ipynb show the calculations for the statistical <br> analysis<br> To use the notebooks, start with the Dictionary_setup_for_data_for_paper.ipynb <br> to set up the main dictionary from the calculated data</p>
Data for 'Local verses farfield control on South Pacific mode water variability'
<p>The adjoint files contained in two .zip folders here are the output files of two adjoint sensitivity experiments in the South Pacific mode water formation regions, CENTRAL and EASTERN, using ECCOv4r4. The first set of outputs is for the sensitivity of the volume in the Central mode water pool to net heat flux. The folder CENTRAL.zip contains these files which are of the form ADJqnet_CENTRAL.XX.data/.meta, where XX is the timestep. The second set of outputs is for the sensitivity of the volume in the Eastern mode water pool to net heat flux. The folder EASTERN.zip contains these files which are of the form ADJqnet_EASTERN.XX.data/.meta, where XX is the timestep. Both sets of data contained here are the output/sensitivity files for 6 years at 14 day time steps.</p> <p><br>The forward perturbation files contained in four .zip folders here are the output files of four separate forward perturbation experiments, using ECCOv4r4. The first set of outputs is for a forward perturbation experiment related to the Central mode water pool sensitivities, where the perturbation is set in an area of negative sensitivity and uses a negative perturbation in the folder C_ns_np.zip. The folder C_ns_np.zip contains these files which are of the form THETA_mon_mean.XX.data/.meta, SALT_mon_mean.XX.data/.meta, and MXLDEPTH_mon_mean.XX.data/.meta, where XX is the times. The second set of outputs is for a forward perturbation experiment related to the Central mode water pool sensitivities, where the perturbation is set in an area of negative sensitivity and uses a positive perturbation in the folder C_ns_pp.zip. The folder C_ns_pp.zip contains these files which are of the form THETA_mon_mean.XX.data/.meta, SALT_mon_mean.XX.data/.meta, and MXLDEPTH_mon_mean.XX.data/.meta, where XX is the times. The third set of outputs is for a forward perturbation experiment related to the Central mode water pool sensitivities, where the perturbation is set in an area of positive sensitivity and uses a negative perturbation in the folder C_ps_np.zip. The folder C_ps_np.zip contains these files which are of the form THETA_mon_mean.XX.data/.meta, SALT_mon_mean.XX.data/.meta, and MXLDEPTH_mon_mean.XX.data/.meta, where XX is the times. The fourth set of outputs is for a forward perturbation experiment related to the Central mode water pool sensitivities, where the perturbation is set in an area of positive sensitivity and uses a positive perturbation in the folder C_ps_pp.zip. The folder C_ps_pp.zip contains these files which are of the form THETA_mon_mean.XX.data/.meta, SALT_mon_mean.XX.data/.meta, and MXLDEPTH_mon_mean.XX.data/.meta, where XX is the times. All sets of data contained here are the output/forward perturbation files for 3 years at 14 day time steps, starting when the perturbation begins. The THETA and SALT files from the forward perturbation experiments are used to create neutral density files using the gibbs seawater toolbox in MATLAB. These perturbed neutral densities are then used to find the difference the perturbation makes in relation to a control experiment.</p> <p><br> <br>Paper abstract: In the South Pacific mode water formation region, central and eastern pools of mode water have been found to be linked to winter mixed-layer thicknesses that vary strongly interannually and out of phase across the basin. This mixed-layer variability is associated with peaks in sea level pressure variability at a quasi-stationary anomaly situated between the two pools. To investigate how surface forcing, as well as the propagation of upstream anomalies, affects the formation of these mode water pools, a set of adjoint sensitivity experiments with a density-following feature are conducted. Adjoint sensitivities reveal local cooling can lead to an increase in mode water pool volume through mixed-layer depth changes and lateral density surface movement. In addition, upstream warming along the Antarctic Circumpolar Current can lead to an increase in mode water pool volume through lateral density surface movement. Optimal conditions for mode water formation involve a combination of local cooling and upstream warming of mode water formation sites. Hence, South Pacific mode water variability is particularly sensitive to atmospheric modes which lead to a dipole in heating across the formation sites.</p>
Research Data - Magnetic Field Controlled Surface Localization of Spin-Wave Ferromagnetic Resonance Modes in 3D Nanostructures
<p>Source data from micromagnetic simulations performed in COMSOL Multiphysics software and Python codes for data post-processing utilized in the paper "Magnetic Field Controlled Surface Localization of Spin-Wave Ferromagnetic Resonance Modes in 3D Nanostructures."</p> <p>The files from Comsol (.mph) are without simulation solutions due to their large size - please contact me if needed.</p>
Interplay of correlations and Majorana mode from local solution perspective
<p>Raw numerical data used to produce figures 2-14 in the article Interplay of correlations and Majorana mode from local solution perspective </p>
Data Set "Quantum-chemical calculation of two-dimensional infrared spectra using localized-mode VSCF/VCI"
<p>This data set accompanies the publication "Quantum-chemical calculation of two-dimensional infrared spectra using localized-mode VSCF/VCI"</p> <p>It contains:</p> <p>- xyz files of all considered molecular structures.</p> <p>- Results data from the harmonic and anharmonic vibrational calculations.</p> <p>- Data and code for calculating 2D-IR spectra.</p>
Comparative Study of the Combination of Different Modes of Administration of Local Anesthetics in Labor Analgesia
ClinicalTrials.gov study NCT03839056. IPD Sharing: NO. Countries: 1. Publications: 17.
NPLinker test dataset for local mode
<p>This dataset is used for the integration test of <a href="https://github.com/NPLinker/nplinker">NPLinker.</a></p>
MISR Level 1B2 Local Mode Terrain Radiance Data subset for the UAE region V002
UAEM1LMT_002 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 1B2 Local Mode Terrain Radiance Data subset for the UAE region. It contains the terrain-projected TOA radiance for the single local mode scene, resampled at the surface and topographically corrected. The MISR instrument consists of nine push-broom cameras that measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four forward, and four aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.MISR is designed to view Earth with cameras in 9 different directions. As the instrument flies overhead, all nine cameras successfully imaged each piece of Earth's surface below in 4 wavelengths (blue, green, red, and near-infrared). MISR aims to improve our understanding of the effects of sunlight on Earth and distinguish different types of clouds, particles, and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.
MISR Level 1B2 Local Mode Terrain Radiance Data V002
MB2LMT_2 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 1B2 Local Mode Terrain Radiance Data Version 2 product. It contains the terrain-projected Top-of-Atmosphere (TOA) radiance for the single local mode scene, resampled at the surface and topographically corrected. MISR itself is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the affects of sunlight on Earth, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.
MISR Level 1B1 Local Mode Radiance Data V002
MIB1LM_002 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 1B1 Local Mode Radiance Data version 2. It contains the data numbers (DNs) radiometrically scaled to radiances with no geometric resampling. Multi-angle Imaging SpectroRadiometer (MISR) Level 1B1 Radiance data product contains spectral radiances for all MISR channels. Each value represents the incident radiance averaged over the sensor's total band response. Processing includes both radiance scaling and conditioning steps. Radiance scaling converts the Level 1A data from digital counts to radiances, using coefficients derived from the onboard calibrator (OBC) and vicarious calibrations. The OBC contains Spectralon calibration panels, deployed monthly and reflect sunlight into cameras. The OBC detector standards then measure this reflected light to provide the calibration. No out-of-band correction is done for this product, nor are the data geometrically corrected or resampled. Data collection for this product is ongoing.The MISR instrument consists of nine push-broom cameras that measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four forward, and four aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.MISR is designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all nine cameras in 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the effects of sunlight on Earth and distinguish different types of clouds, particles, and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.
MISR Level 1B2 Local Mode Ellipsoid Radiance Data subset for the UAE region V002
Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 1B2 Local Mode Ellipsoid Radiance Data subset for the UAE region V002 contains the ellipsoid projected TOA parameters for the single local mode scene, resampled to WGS84 ellipsoid.
MISR Level 1B2 Local Mode Ellipsoid Radiance Data V002
Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 1B2 Local Mode Ellipsoid Radiance Data V002 contains the ellipsoid projected TOA parameters for the single local mode scene, resampled to WGS84 ellipsoid.
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.