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135 results for “anisotropy”
Seismic Azimuthal Anisotropy Model Beneath the Alaska Subduction Zone
<p>This dataset is supplementary to:</p> <p>Liu, C., Sheehan, A.F., Ritzwoller, M.H. (2024) (Under review).</p> <p>The uploaded file uses NetCDF4 format and contains isotropic Vsv and depth-dependent azimuthal anisotropy.</p> <p>File format:</p> <p><code>Longitude</code>, <code>Latitude</code>, <code>Depth</code>, <code>Para</code></p> <ul> <li> <p>Dimensions:</p> <ul> <li><code>Longitude</code>: -164.2° to -142.8° with 0.8° interval.</li> <li><code>Latitude</code>: 53.6° to 65.6° with 0.4° interval.</li> <li><code>Depth</code>: 10 to 200 with 5 km interval</li> </ul> </li> <li>Model parameters:<br> <ul> <li><code>vsv</code>: isotropic shear wave velocity (km/s)</li> <li><code>unc_vsv</code>: uncertainty for isotropic shear wave velocity </li> <li><code>fa</code>: depth-dependent fast azimuth (deg)</li> <li><code>unc_vsv</code>: uncertainty for depth-dependent fast azimuth</li> <li><code>amp</code>: depth-dependent anisotropy amplitude (%)</li> <li><code>unc_amp</code>: uncertainty for depth-dependent anisotropy amplitude</li> </ul> </li> </ul> <p> </p>
The role of etching anisotropy in the fabrication of freestanding oxide microstructures on SrTiO3(001), SrTiO3 (110), and SrTiO3 (111) substrates
<p>Datafiles for the Figures and Supplementary Material of the article "The role of etching anisotropy in the fabrication of freestanding oxide microstructures on SrTiO3(001), SrTiO3 (110), and SrTiO3 (111) substrates" published in Applied Physics Letters by Alejandro E. Plaza et al. (2021)</p>
Relaxation anisotropy of quantitative MRI parameters in biological tissues
<p>Dataset for the manuscript "Relaxation anisotropy of quantitative MRI parameters in biological tissues" published in Scientific Reports 2022</p>
Normal mode splitting function predictions for mantle anisotropy
<p>Predictions for normal mode splitting functions for 6 models of mantle anisotropy, accompanying the paper published in Geophysical Journal International by Restelli, Koelemeijer & Ferreira (2023). This is version 2 related to the revised manuscript. </p> <p>More details can be found in the README. </p>
Dataset for Spectral scaling of unstably-stratified atmospheric flows: turbulence anisotropy and the low frequency spread
<p>30 min turbulence statistics and spectra of 13 datasets from flat to highy complex terrain. Data only cover unstable stratification. </p> <p>Dataset is a companion to the manuscript Charrondiere, C., Stiperski, I., 2024: Spectral scaling of unstably-stratified atmospheric flows: turbulence anisotropy and the low frequency spread. Quarterly Journal of the Royal Meteorological Society, https://doi.org/10.1002/qj.4811<strong><br></strong></p> <p> </p>
Charting Hydrogen Bond Anisotropy
<p>Interaction energies of hydrogen bonded dimers using quantum mechanics. Each dome is a systematic scan of interaction geometries, where a target molecule is kept fixed, and a probe is moved in spherical coordinates. Collectively, the positions of the probe look like a dome over the target molecule. There are about 2000 geometries in each dome. The goal is to see how the interaction energy depends on the geometry of the interaction.<br> <br> </p>
Raw Data for "Vanadium incorporation in ferrite nanoparticles serves as electron buffer and anisotropy tuner in catalytic and hyperthermia applications"
<p>Raw data for VxFe2-XO4 magnetic nanoparticles: characterization,magnetic hyperthermia experiments in polyacrylamide gels and EPR reactive oxygen species quantification after exposure to H2O2.</p>
Dataset for manuscript: Rock anisotropy promotes hydraulic fracture containment at depth
<p>This is the experimental data used in manuscript: "Rock anisotropy promotes hydraulic fracture containment at depth".</p> <p>This data set has 5 folders: </p> <p>K1, T2, M3 and M4 contain the raw data collected by active acoustic monitoring system and various pumps and transducers. <br> The readings of the Top Industrie syringe pump (for fluid injection), pressure transducers at downstream, and GDS pumps that provide confining stresses along all three directions via flatjacks are provided by two excel spreadsheets - Low_frequency_measurements.csv and Pump_reading.csv.<br> For active acoustic data, there are four different files named by the starting time for each experiment. The .json file contains the basic information of each experiment. The .txt file contains the acquisition time for each active acoustic sequence. The .bin file contains the collected waveforms of all acoustic sequences.</p> <p>Processed_data includes the synchronized pressure data (Pressure_data.xlsx) and detailed acoustic emission results (AE_K1.csv, AE_T2.csv, AE_M3.csv, AE_M4.csv).<br> </p>
Master and Landsat-8 simultaneous acquisition datacubes for the quantification of directional anisotropy in Thermal Infra-Red domain
<p>‎</p> <p>This dataset contains datacubes of simultaneous Landsat-8 and Master<sup><a href="#fn.1">1</a></sup> data as listed in table <a href="#org4c9ba67">1</a>. Those pairs have been identified by cross-searching Landsat-8 and Master archive for Master flight tracks with a Landsat-8 overpass during the flight. The dataset has been collected and analysed in the following paper:</p> <p><em>Julien Michel, Olivier Hagolle, Simon J Hook, Jean-Louis Roujean, Philippe Gamet. Quantifying Thermal Infra-Red directional anisotropy using Master and Landsat-8 simultaneous acquisitions. 2023. <a href="https://hal.science/hal-04073733">⟨hal-04073733⟩</a></em></p> <table> <caption>Table 1: List of valid Master and Landsat-8 pairs</caption> <thead> <tr> <th scope="col"><strong>Id</strong></th> <th scope="col"><strong>Master track id</strong></th> <th scope="col"><strong>Landsat L2 product id</strong></th> </tr> </thead> <tbody> <tr> <td>1</td> <td><code>2013-03-29_18:06:53</code></td> <td><code>LC08_L2SP_038037_20130329_20200912_02_T1</code></td> </tr> </tbody> <tbody> <tr> <td>2</td> <td><code>2013-04-11_18:14:46</code></td> <td><code>LC08_L2SP_041036_20130411_20200912_02_T1</code></td> </tr> </tbody> <tbody> <tr> <td>3a</td> <td><code>2013-05-22_18:13:09</code></td> <td><code>LC08_L2SP_040036_20130522_20200913_02_T1</code></td> </tr> <tr> <td>3b</td> <td><code>2013-05-22_18:13:09</code></td> <td><code>LC08_L2SP_040037_20130522_20200913_02_T1</code></td> </tr> </tbody> <tbody> <tr> <td>4</td> <td><code>2013-12-05_18:23:35</code></td> <td><code>LC08_L2SP_043035_20131205_20200912_02_T1</code></td> </tr> </tbody> <tbody> <tr> <td>5a</td> <td><code>2014-03-31_18:11:16</code></td> <td><code>LC08_L2SP_039035_20140331_20200911_02_T1</code></td> </tr> <tr> <td>5b</td> <td><code>2014-03-31_18:11:16</code></td> <td><code>LC08_L2SP_039036_20140331_20200911_02_T1</code></td> </tr> </tbody> <tbody> <tr> <td>6a</td> <td><code>2014-04-14_18:27:14</code></td> <td><code>LC08_L2SP_041036_20140414_20200911_02_T1</code></td> </tr> <tr> <td>6b</td> <td><code>2014-04-14_18:27:14</code></td> <td><code>LC08_L2SP_041037_20140414_20200911_02_T1</code></td> </tr> </tbody> <tbody> <tr> <td>7</td> <td><code>2014-04-28_18:22:43</code></td> <td><code>LC08_L2SP_043035_20140428_20200911_02_T1</code></td> </tr> </tbody> <tbody> <tr> <td>8a</td> <td><code>2014-06-06_18:25:35</code></td> <td><code>LC08_L2SP_044033_20140606_20200911_02_T1</code></td> </tr> <tr> <td>8b</td> <td><code>2014-06-06_18:25:35</code></td> <td><code>LC08_L2SP_044034_20140606_20200911_02_T1</code></td> </tr> </tbody> <tbody> <tr> <td>9a</td> <td><code>2014-10-21_18:35:15</code></td> <td><code>LC08_L2SP_043034_20141021_20200910_02_T1</code></td> </tr> <tr> <td>9b</td> <td><code>2014-10-21_18:35:15</code></td> <td><code>LC08_L2SP_043035_20141021_20200911_02_T1</code></td> </tr> </tbody> <tbody> <tr> <td>10a</td> <td><code>2015-05-28_18:13:05</code></td> <td><code>LC08_L2SP_040036_20150528_20200909_02_T1</code></td> </tr> <tr> <td>10b</td> <td><code>2015-05-28_18:13:05</code></td> <td><code>LC08_L2SP_040037_20150528_20200909_02_T1</code></td> </tr> </tbody> <tbody> <tr> <td>11</td> <td><code>2018-06-19_18:28:30</code></td> <td><code>LC08_L2SP_042034_20180619_20200831_02_T1</code></td> </tr> </tbody> <tbody> <tr> <td>12a</td> <td><code>2021-03-30_18:32:40</code></td> <td><code>LC08_L2SP_043033_20210330_20210409_02_T1</code></td> </tr> <tr> <td>12b</td> <td><code>2021-03-30_18:32:40</code></td> <td><code>LC08_L2SP_043034_20210330_20210409_02_T1</code></td> </tr> </tbody> </table> <p>Variables of interest are resampled on a common UTM grid at 100m. The resulting datacubes are distributed as netCDF files, and contains the variables listed in table <a href="#org09b0cd2">2</a>. Landsat-8 pixels flagged as cloud and missing pixels are set to NaN.</p> <table> <caption>Table 2: Description of variables in netCDF files</caption> <thead> <tr> <th scope="col"><strong>Variable Name</strong></th> <th scope="col"><strong>Description</strong></th> </tr> </thead> <tbody> <tr> <td><code>ls8_lst</code></td> <td>Landsat-8 Land Surface Temperature (K)</td> </tr> <tr> <td><code>ls8_bt</code></td> <td>Landsat-8 Surface Brightness temperature (K)</td> </tr> <tr> <td><code>ls8_b2</code></td> <td>Landsat-8 B2 Surface reflectance (unitless)</td> </tr> <tr> <td><code>ls8_b3</code></td> <td>Landsat-8 B2 Surface reflectance (unitless)</td> </tr> <tr> <td><code>ls8_b4</code></td> <td>Landsat-8 B2 Surface reflectance (unitless)</td> </tr> <tr> <td><code>ls8_b5</code></td> <td>Landsat-8 B2 Surface reflectance (unitless)</td> </tr> <tr> <td><code>ls8_emis</code></td> <td>Landsat-8 emissivity (unitless)</td> </tr> <tr> <td><code>ls8_water</code></td> <td>Landsat-8 water mask (1 = water, 0 = no water)</td> </tr> <tr> <td><code>ls8_snow</code></td> <td>Landsat-8 snow mask (1 = snow, 0 = no snow)</td> </tr> <tr> <td><code>ls8_view_zenith</code></td> <td>Landsat-8 view zenith angle (degrees)</td> </tr> <tr> <td><code>ls8_view_azimuth</code></td> <td>Landsat-8 view azimuth angle (degrees)</td> </tr> <tr> <td> </td> <td>(0 = north, positive to the east, negative to the west)</td> </tr> <tr> <td><code>ls8_sun_zenith</code></td> <td>Landsat-8 sun zenith angle (degrees)</td> </tr> <tr> <td><code>ls8_sun_azimuth</code></td> <td>Landsat-8 sun azimuth angle (degrees)</td> </tr> <tr> <td> </td> <td>(0 = north, positive to the east, negative to the west)</td> </tr> </tbody> <tbody> <tr> <td><code>master_lst</code></td> <td>Master Land Surface Temperature (K)</td> </tr> <tr> <td><code>master_bt</code></td> <td>Master Surface Brightness Temperature (K)</td> </tr> <tr> <td><code>master_emis3</code></td> <td>Master B47 emissivity (unitless)</td> </tr> <tr> <td><code>master_emis4</code></td> <td>Master B48 emissivity (unitless)</td> </tr> <tr> <td><code>master_emis</code></td> <td>Master interpolated emissivity (unitless)</td> </tr> <tr> <td><code>master_view_zenith</code></td> <td>Master view zenith angle (degrees)</td> </tr> <tr> <td><code>master_view_azimuth</code></td> <td>Master view azimuth angle (degrees)</td> </tr> <tr> <td> </td> <td>(0 = north, positive to the east, negative to the west)</td> </tr> <tr> <td><code>master_sun_zenith</code></td> <td>Master sun zenith angle (degrees)</td> </tr> <tr> <td><code>master_sun_azimuth</code></td> <td>Master sun azimuth angle (degrees)</td> </tr> <tr> <td> </td> <td>(0 = north, positive to the east, negative to the west)</td> </tr> </tbody> </table> <p>Landsat-8 products were downloaded from the collection 2 level 2 archive from the EarthExplorer portal<sup><a href="#fn.2">2</a></sup>. Master L1B products, containing radiances and viewing angles, as well as L2 products, containing LST and geo-location grids, were requested on the Master website<sup><a href="#fn.1">1</a></sup>. Landsat-8 viewing angles have been computed by using a C program publicly available on USGS website<sup><a href="#fn.3">3</a></sup>.</p> <p>Footnotes:</p> <p><sup><a href="#fnr.1">1</a></sup></p> <p><a href="https://masterprojects.jpl.nasa.gov/">https://masterprojects.jpl.nasa.gov/</a>, consulted on 2023.03.01</p> <p><sup><a href="#fnr.2">2</a></sup></p> <p><a href="https://earthexplorer.usgs.gov/">https://earthexplorer.usgs.gov/</a>, consulted on 2023.03.01</p> <p><sup><a href="#fnr.3">3</a></sup></p> <p><a href="https://www.usgs.gov/landsat-missions/solar-illumination-and-sensor-viewing-angle-coefficient-file">https://www.usgs.gov/landsat-missions/solar-illumination-and-sensor-viewing-angle-coefficient-file</a>, consulted on 2022.09.12</p>
Variation of texture anisotropy and hardness with build parameters and wall height in directed-energy-deposited 316L steel
<p>Raw data associated with a paper submission.<br> " Variation of texture anisotropy and hardness with build parameters and wall height in directed-energy-deposited 316L steel" submitted to Additive Manufacturing.</p> <p>Contained are all the raw images used in figures, as well as csv's of any data pltoted in graphs.</p> <p>Raw images captured during printing of various processing parameters<br> EBSD scans (.ctf) of all disucssed samples </p> <p>Wall definitions (EBSD compared to paper)<br> Wall 1 - Wall A1 300 W 2750 mm/s<br> Wall 2 - Wall D 500 W 2250 mm/s<br> Wall 3 - Wall B 300 W 2250 mm/s<br> Wall 4 - Wall C 500 W 2750 mm/s<br> Wall 5 - Wall A2 300 W 2750 mm/s</p>
Orientation anisotropy of quantitative MRI relaxation parameters in ordered tissue
<p>This dataset contains all the raw source data and MATLAB analysis functions that comprise the study:</p> <p><br> <strong>Orientation anisotropy of quantitative MRI relaxation parameters in ordered tissue</strong></p> <p>Scientific Reports | DOI:10.1038/s41598-017-10053-2</p> <p>Hänninen Nina(1,2), Rautiainen Jari(1), Rieppo Lassi(2,3), Saarakkala Simo(2,3,4) and Nissi Mikko Johannes(1*)</p> <ol> <li>Department of Applied Physics, University of Eastern Finland, POB 1627, FI-70211 Kuopio, Finland</li> <li>Research Unit of Medical Imaging, Physics and Technology, University of Oulu, POB 5000, FI-90014 Oulu, Finland</li> <li>Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland</li> <li>Department of Diagnostic Radiology, Oulu University Hospital, Oulu, Finland</li> </ol> <p> </p> <p>*Corresponding author:<br> Mikko J. Nissi<br> Department of Applied Physics,<br> University of Eastern Finland<br> POB 1627<br> FI-70211, Kuopio, Finland<br> mikko.nissi@uef.fi<br> +358-50-5955517</p> <p><br> Keywords: relaxation anisotropy, orientation, cartilage, MRI, quantitative</p> <p> </p> <p><br> Included folders and files are:</p> <ul> <li>article_figures: all figures published in the manuscript</li> <li>data: MRI measurement data and pre-processed PLM measurement data</li> <li>matlab_functions: matlab functions used in data analysis with subfolders: <ul> <li>aedes_plugins: plugins for aedes (http://aedes.uef.fi) for calculation of relaxation time maps</li> <li>fitting_functions: miscellaneous functions for fitting relaxation times etc, used by the functions in above folder</li> <li>miscellaneous_functions: small helper functions for a number of small tasks utilized by the other scripts and functions</li> </ul> </li> <li>plm_new_data: histological data measured by quantitative polarized light microscopy.</li> <li>sample_holder_3D_model: .stl files for the 3-D printable sample-holder which allows rotation of the specimen</li> <li>carbon_data_collector_ROT_for_publication.m: master data collection and analysis script that reads in all the data and performs all the calculations to produce the images of the study. This function relies on all the matlab-functions in the subfolder (i.e. the subfolders need to be indexable by matlab) and Aedes analysis software (http://aedes.uef.fi) and matlab R2013b or later.</li> <li>README.txt: this file</li> </ul> <p><br> Notes for setting up Aedes correctly for this dataset:<br> Run Aedes -> Tools -> Edit VNMR Defaults:</p> <ul> <li>Return: FT + K-space</li> <li>DC: off</li> <li>Zeropadding: off</li> <li>Sorting & fastread: on</li> <li>Precision: single</li> <li>Read_fcn: readfid (old)</li> <li>Orient: no</li> </ul> <p>See more info in separate readme files included in each folder.</p> <p><br> (Mikko Nissi, Aug 15, 2017)</p> <p> </p>
Optical constants of several multilayer transition metal dichalcogenides measured by spectroscopic ellipsometry in the 300-1700 nm range: high-index, anisotropy, and hyperbolicity
<p># Data and plotting code for "Optical constants of several multilayer transition metal dichalcogenides measured by spectroscopic ellipsometry in the 300-1700 nm range: high-index, anisotropy, and hyperbolicity" by Battulga Munkhbat, Piotr Wróbel, Tomasz J. Antosiewicz, and Timur O. Shegai, ACS Photonics (2022); https://doi.org/10.1021/acsphotonics.2c00433</p> <p><br> ## Contents</p> <p>* <TMD-material>: directories with raw and derived data for all 10 TMDs<br> * f3_dataset_*_nm_ex1_ex2_ey1_ey2_ez1_ez2.txt: obtained permittivities<br> * plot_*_v1.m: Matlab scripts for plotting data</p> <p>## Description of the data</p> <p>The raw and derived data stored in directories <TMD> contain the following files:</p> <p>* <TMD>/<date>-<TMD>.SEsnap: binary data file with collected data, CompleteEASE format<br> * <TMD>/<date>-<TMD>-E*.mat: ascii text file with permittivity data separated into individual components as exported from CompleteEASE software<br> * <TMD>/<date>-<TMD>-full.mat: ascii text file with fitted model parameters as exported from CompleteEASE software<br> * <TMD>/<TMD>-data/*.txt: selected raw data and fits for all considered samples (Mueller Matrix or Delta/Psi/depolarization).</p> <p>The structure of the data file names is as follows:<br> <order-number-in-CompleteEASE>-s<sample-name>-<data-type>.txt for general ellipsometry (delta, psi, depolarization) or<br> <order-number-in-CompleteEASE>-s<sample-name>-o<in-plane-sample-rotation-number>-mm.txt for Mueller Matrix measurements.</p> <p>The following two scripts can be used to plot the raw measured data (solig lines) along with corresponding fits (black dotted lines):</p> <p>* plot_mm_v1.m: Matlab script for plotting Mueller Matrix data for WTe2 and ReS2<br> * plot_psi_delta_depol_v1.m: Matlab script for plotting psi, delta, and depolarization data for other TMDs</p> <p>The diagonal permittivity tensor data are saved in the f3_dataset_*_nm_ex1_ex2_ey1_ey2_ez1_ez2.txt files which can be plotted using the plot_permittivity_v1.m Matlab script. The format of this file is as follows:</p> <p>wavelength in nanometers; real part of epsilon_xx; imaginary part of epsilon_xx; real part of epsilon_yy; imaginary part of epsilon_yy; real part of epsilon_zz; imaginary part of epsilon_zz;</p> <p> </p> <p> </p>
Paleomagnetic directions, anisotropy of magnetic susceptibility (AMS), and anisotropy of anhysteretic remanent magnetization (AARM) from IODP Sites U1507 and U1511 (Exp. 371, Tasman Sea).
<p>We present here paleomagnetic and magnetic anisotropy data from International Ocean Discovery Program (IODP) Sites U1507 and U1511 (Expedition 371, Tasman Sea). Data consist of three tables that contain: (1) the characteristic remanent magnetization (ChRM) directions, before and after correction for inclination flattening of magnetic remanence, for both sites (Table S2); (2) the anisotropy of magnetic susceptibility (AMS) data from Site U1507 (Table S3); (3) the anisotropy of anhysteretic remanence (AARM) from Site U1507 (Table S4).</p>
Measurements of Pn velocity and anisotropy in Northwest Pacific region
<p>Measurements of Pn velocity and anisotropy in Northwest Pacific region. The eight numbers in each line are the longitude, latitude, Pn velocity, velocity error, magnitude of Pn anisotropy, magnitude error, direction of the fastest wave propagation, and direction error at each grid.</p>
Table S1 for "Lowermost mantle anisotropy beneath Africa from differential SKS-SKKS shear-wave splitting"
<p>SKS-SKKS measurements per station and per event. We provide details in the following order: station, network, station latitude, station longitude, event date, event time, event latitude, event longitude, event depth, event magnitude, distance, backazimuth, misalignment correction value, phi, dt, min. phi error, max. phi error, min. dt error, max. dt error, splitting intensity, min. splitting intensity error, max. splitting intensity error, category (SplitRacer), individual category, category for pair. Values for field ‘category(SplitRacer)’ are based on SplitRacer’s quality criteria: good, average, null-measurement, with our addition of the category ‘fair null-measurement’ for nulls which are slightly noisy. In general, these categories are selected by the user on the basis of the noise level of the traces, the amount of energy reduction, splitting intensity value (and errors), visual comparison of the time derivative radial component to the transverse component, scatter in the histogram over the used time windows and the size of 95% confidence level The selection of final usable events was then based on the width of the 95% confidence level. The field ‘Individual category’ has the following values: 0=null-measurement; 1=very good (phi error < 30°; dt error 0.75 s); 2= good (phi error >30°; < 60°, dt error > 0.75 s; <1.55 s), 3= fair (error bars larger than category 2 but clear splitting and the other phase of the same event is a category 1). Categories for pairs are: 0 = both phases are null-measurements; 1= both phases have an individual category of 1, individual categories of 1 & 2, or one phase is null while the other is an individual category 1; 2= both phases have an individual category of 2 or one phase is null while the other is an individual category 2 measurement or one phase is an individual category 1 measurement while the other is an individual category 3 measurement (the latter only applies to 30 pairs in total).</p>
Seismic anisotropy dataset from Illsley-Kemp et al., G3, 2019 (10.1029/2019GC008529)
<p>The datasets provided here are the seismic anisotropy results for the four seperate regions of New Zealand, reported and discussed in Illsley-Kemp et al., <em>Geochemistry, Geophysics, Geosystems, </em>2019 (10.1029/2019GC008529). </p> <p>If you use this date, please cite the following paper:</p> <p>Illsley-Kemp, F., Savage, M. K., Wilson, C. J. N., & Bannister, S., 2019, 10.1029/2019GC008529. Mapping Stress and Structure from Subducting Slab to Magmatic Rift: Crustal Seismic Anisotropy of the North Island, New Zealand. <em>Geochemistry, Geophysics, Geosystems.</em></p> <p>The data are csv files in the same format as MFAST output (http://mfast-package.geo.vuw.ac.nz), with each column corresponding to the following:</p> <p>1: Result ID</p> <p>2: Station code</p> <p>3: Station latitude</p> <p>4: Station longitude</p> <p>5: Earthquake ID (after GeoNet)</p> <p>6: Year</p> <p>7: Julian day on which the event occurred, with decimal digits giving the fraction of the day</p> <p>8: Earthquake latitude</p> <p>9: Earthquake longitude</p> <p>10: Earthquake-station distance (km)</p> <p>11: Earthquake depth (km)</p> <p>12: Earthquake magnitude</p> <p>13: Back azimuthal angle</p> <p>14: Initial polarisation of the shear wave in degrees</p> <p>15: Error of Spol in degrees, one standard deviation</p> <p>16: Start time of the selected measurement window in seconds, relative to the start of the seismogram at t = 0</p> <p>17: End time of the selected measurement window in seconds, relative to the start of the seismogram at t = 0</p> <p>18: Not used</p> <p>19: Not used</p> <p>20: Signal to noise ratio</p> <p>21: Delay time (δt) between fast and slow shear wave in seconds</p> <p>22: Error of δt in degrees, one standard deviation</p> <p>23: Angle of the orientation of the fast shear wave (φ), in degrees from North</p> <p>24: Error of φ in degrees, one standard deviation</p> <p>25: Angle of incidence at the station, measured against a horizontal plane in degrees, where 0 means vertical incidence</p> <p>26: Not used</p> <p>27: Type of measurement. This field contains the measurement code that is used, the number of measurement window start times and the number of window end times</p> <p>28: Not used</p> <p>29: Not used</p> <p>30: Nyquist frequency of the event in Hz</p> <p>31: Evaluation of the measurement quality</p> <p>32: Lower corner frequency of the bandpass filter in Hz</p> <p>33: Higher corner frequency of the bandpass filter in Hz</p> <p>34: Angle between the initial polarisation and the fast orientation in degrees</p> <p>35: Not used</p> <p>36: Not used</p> <p>37: The maximum value of the eigenvalue of the corrected covariance matrix</p> <p>38: The number of degrees of freedom in the measurement</p> <p>39: The minimum value of the eigenvalue of the covariance matrix before it was scaled to have the 95% confidence level set to 1</p> <p>40: The S-wave travel time between the earthquake and the station</p> <p>41: The dominant frequency in the S wave, determined from the frequency at the maximum spectral amplitude</p>
Formation of Néel Type Skyrmions in an Antidot Lattice with Perpendicular Magnetic Anisotropy
<p>Open access data set for manuscript "Formation of Néel Type Skyrmions in an Antidot Lattice with Perpendicular Magnetic Anisotropy" published in Physical Review B, 100, 144435 (2019)</p>
Depth-dependent anisotropy in the Earth's inner core linked to chemical stratification
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Dataset for "Operando Investigation of Al Plating Regimes on HOPG in [EMImCl]:AlCl3 by Electrochemical Reflection Anisotropy Spectroscopy"
<p>This is the experimental raw data set associated with the following publication: M. Löw, and MM May, Operando Investigation of Al Plating Regimes on HOPG in [EMImCl]:AlCl3 by Electrochemical Reflection Anisotropy Spectroscopy, Batteries & Supercaps (2024). DOI:<span>10.1002/batt.202400610</span></p> <p>The data set is organized according to the publication's figures. </p>
Supplemental datafiles for the manuscript "On the origin of seismic anisotropy in the shallow crust of the Northern Volcanic Zone, Iceland"
<p>Files to accompany the submission of the manuscript <strong>"On the origin of seismic anisotropy in the shallow crust of the Northern Volcanic Zone, Iceland" </strong>to the Journal of Geophysical Research: Solid Earth.<br> <br> <strong>File 1: </strong>conorbacon_ds01.inp - Input file for Coulomb</p> <p><strong>File 2: </strong>conorbacon_ds02.txt - Shear-wave splitting results file</p> <p> </p>
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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.
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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.