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17 results for “Two-layer”

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zenodo44/100

Simulated shielding performance of 2500 two-layer permutations of the first 50 chemical elements against trapped particles on GTO

<p>The 2Layer.csv file contains ionizing dose results of simulating the shielding performance of all 2500 two-layer permutations of the first 50 chemical elements against trapped particles in Geostationary Transfer Orbit (GTO). The material properties are sourced from the Geant4 material database, with materials referenced by their Geant4 material database names. For elements that are gases under normal conditions, the liquified version from the Geant4 database is used if available, denoted by an &quot;l&quot; prefix (e.g., &quot;G4_lH2&quot;). The particle spectra used for this simulation are provided in the files AE9500keV.mac and AP910MeV.mac. The simulated geometry is provided in the file 2Layer.gdml.</p> <p>The particle spectra were generated with the AE9/AP9 models on SPENVIS, with electron energies starting at 500 keV and proton energies starting at 10 MeV. The simulation was performed with GRAS / Geant4 with the FTFP_BERT physics model using 2.1e+11 electrons and 8.4e+09 protons directed against slabs of shielding materials of 1.5 g/cm2 total depth with each of the two layers being 0.75 g/cm2 in depth. The ionizing dose is recorded in 0.5mm thick silicon plates behind the shielding plates.</p> <p>Column A: ID of the material combination<br> Column B: Z-Number of Material 1<br> Column C: Z-Number of Material 2<br> Column D: Name of the first layer material.<br> Column E: Name of the second layer material.<br> Column F: Ionizing dose due to electrons in units of kRad per month.<br> Column G: Statistical error in the electron dose in kRad per month.<br> Column H: Ionizing dose due to protons in kRad per month.<br> Column I: Statistical error in the proton dose in kRad per month.<br> Column J: Total ionizing dose from electrons and protons in kRad per month.<br> Column K: Statistical error in the total ionizing dose in kRad per month.<br> Column L: Rank of the material combination sorted from lowest electron dose to highest.<br> Column M: Rank of the material combination sorted from lowest proton dose to highest.<br> Column N: Rank of the material combination sorted from lowest total ionizing dose to highest.</p> <p>All dose values are rounded according to their statistical uncertainty as reported by GRAS/Geant4.</p>

opencc-by-4.0Apr 2023View details →
zenodo40/100

Text-fig. 7. Enamel microstructure in the molars of (a) Allosorex stenodus (KOE-4196 / Z 28207 – OF 6512) and (b) Blarina brevicauda (KOE-1435). SEM photos showing transverse sections of the paralophid in a lower molar. The schmelzmuster of Allosorex is one-layered and formed exclusively from radial enamel (RE), whereas the schmelzmuster of Blarina is two-layered, with an inner enamel of laterally inclined radial enamel with distinct interrow sheets (REIS). The radial enamel of the outer layer is heavily pigmented and therefore poorly etched. The pigmentation does not affect the schmelzmuster. in Allosorex Stenodus Fejfar, 1966 (Eulipotyphla, Soricidae): Re-Description Of Type Material And Re-Interpretation Of Its Fossil Record

Text-fig. 7. Enamel microstructure in the molars of (a) Allosorex stenodus (KOE-4196 / Z 28207 – OF 6512) and (b) Blarina brevicauda (KOE-1435). SEM photos showing transverse sections of the paralophid in a lower molar. The schmelzmuster of Allosorex is one-layered and formed exclusively from radial enamel (RE), whereas the schmelzmuster of Blarina is two-layered, with an inner enamel of laterally inclined radial enamel with distinct interrow sheets (REIS). The radial enamel of the outer layer is heavily pigmented and therefore poorly etched. The pigmentation does not affect the schmelzmuster.

opencc-by-4.0Nov 2020View details →
zenodo40/100

Datasets for "Dynamics and deposits of pyroclastic density currents in magmatic and phreatomagmatic eruptions revealed by a two-layer depth-averaged model"

<p>Dataset for the manuscript entitled &quot;Dynamics and Deposits of Pyroclastic Density Currents in Magmatic and Phreatomagmatic Eruptions Revealed by a Two-Layer Depth-Averaged Model&quot; by H. A. Shimizu,&nbsp;T.&nbsp;Koyaguchi, and Y. J. Suzuki&nbsp;for submission in Geophysical Research Letter. This contains datasets for each run.</p>

opencc-by-4.0May 2023View details →
zenodo36/100

Beaufort Gyre westward expansion simulation using a two-layer idelized model

<p>This data set supports the analysis presented in the manuscript: "Beta-drift of eddies drove Beaufort Gyre westward expansion during 2003-2014" (2023GL107142), which is under review for publication by Geophysical Research Letters.&nbsp;</p><p>The model code modified from<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;aronnax (https://github.com/edoddridge/aronnax)</p><p>please refer to:</p><p>Doddridge, E. W., &amp; Radul, A. (2018). Aronnax: An idealised isopycnal ocean model. <i>Journal of Open Source Software</i>, 3(26), 592. <a href="http://doi.org/10.21105/joss.00592">http://doi.org/10.21105/joss.00592</a></p><p>for details of this code</p><p>&nbsp;</p>

opencc-by-4.0Nov 2023View details →
zenodo36/100

Thermal coupling mode in mantle-outer core convection predicted from an ultra-high-resolution numerical simulation of two-layer convection with a large viscosity contrast

<p>Movie of temperature and velocity fields in the highly viscous layer (HVL) and the low-viscosity layer (LVL) (left panels) and the close-up views focusing on the interior of the LVL (right panels). The viscosity contrast between the HVL and LVL is&nbsp;10<sup>4</sup>.</p>

opencc-by-4.0Nov 2024View details →
zenodo32/100

Statistical characterisation and responses of acoustic screens and two-layers systems

<p>The present dataset contains measurements of the acoustic response of screens in an impedance tube with different backings. It includes as well the characterised parameters for the screens and backings.</p> <p><strong>License</strong></p> <p>This dataset is released under Creative Commons with Attribution (CC BY). Any reutilisation of the present dataset in scholarly works must properly cite this work and its authors:</p> <pre><code>Statistical characterisation and responses of acoustics screens and two-layers systems M. Gaborit, L. Jaouen, O. Dazel, P. Göransson DOI: 10.5281/zenodo.3358921 </code></pre> <p><strong>Protocol</strong></p> <p>Two different films (one woven and one non-woven) were sampled 40 times in order to characterise their parameters in an impedance tube. Sampling is manual, the tube inner diameter is 44.44mm and the samples are cut to a slightly large size in order to be clamped inside the tube for measurements.</p> <p>The films are tested in different configurations including some with backings. Two types of backings are considered (melamine and glass wool). These backings are also characterised using 3 and 2 samples respectively. When measuring the response of the film on a backing only 20 samples of each film were used.</p> <p>All measurements span the [4, 4520] Hz band. The setup is calibrated anew before each measurement session.</p> <p><strong>Films&#39; characterisation</strong></p> <p>The films are clamped in the seam between the two parts of the tube, a 200mm air plenum is formed downstream and ends with a rigid backing. The samples for each type of film are measured within 4h.</p> <p>The characterisation procedure implements the method described in the following reference:</p> <ul> <li>Jaouen L. B&eacute;cot F.-X. JASA 129(3) pp. 1400 - 1406, 2011</li> </ul> <p><strong>Backings&#39; characterisation</strong></p> <p>The sample and backing piston are placed to give a rigid backing and have the sample&#39;s surface flush with the seam between the two parts of the tube. In the case of the glass wool, the material has a slight (below millimetre) embossing and the supporting surface is placed flush with respect to the seam (the top of the embossing is not considered as the sample surface).</p> <p>The characterisation procedure implements the method described in the following references:</p> <ul> <li>Olny, X. &amp; Panneton, R. JASA 123(2) pp. 814 &ndash; 824, 2008</li> <li>Panneton R. &amp; Olny, X. JASA 119(4), p. 2027, 2006</li> </ul> <p><strong>Response measurements</strong></p> <p>To measure responses of the film/backing systems, the backing are placed as described in the previous paragraph. The film is clamped in the seam as described in the &quot;Films&#39; characterisation&quot; section. A plastic grid with thin struts is placed upstream to prevent the film from bending. This setup allows for easily changing the film without replacing the backing sample. Films&#39; samples 1 to 20 are used for response measurements. Measurement of the grid response on a rigid backing and an air plenum of 200mm are provided for reference.</p> <p><strong>Hardware</strong></p> <ul> <li><a href="http://www.mecanum.com/en/products/impedance-tube/impedance-and-transmission-tube-3-mic/">Mecanum 3-microphones tube, diameter: 44.44mm</a></li> </ul> <p><strong>Software</strong></p> <ul> <li><a href="http://tubecell.matelys.com/">Matelys TubeCell</a> (rig control)</li> <li><a href="http://rokcell.matelys.com/">Matelys RoKCell</a> (characterisation)</li> </ul> <p>The piece of software controlling the rig implements a 3-microphones technique described in the following references:</p> <ul> <li>Iwase T. Izumi Y. J. Acoust. Soc. Jpn J 52(6) pp. 411&ndash;419, 1996 (in Japanese)</li> <li>Iwase T. Izumi Y. Kawabata R. in proc. Internoise, 1998 (Christchurch, New Zealand)</li> </ul> <p><strong>Structure of the datasets and files</strong></p> <p>The present dataset comprises two parts. The actual traces and associated measurement parameters as exported from TubeCell are found in the directory <code>measurements</code>. The results from the characterisation process as exported with RoKCell are in the <code>characterisations</code> folder. These results were augmented with direct measurements of the weights and thickness of the samples (both for the films and the backings).</p> <p><strong>Measurements</strong></p> <p>The measurements are stored in the <code>measurements</code> directory. There are several sub-directory for each of the measurement sessions:</p> <ul> <li><code>backings</code>: measurements for the caracterisation of the two backings (all samples, with and without grid)</li> <li><code>grid</code>: measurements of the grid alone on a rigid backing and with a 200mm air plenum</li> <li><code>nonwoven_alone</code>: measurements for the caracterisation of the non-woven film on a 200mm air plenum, no grid (all 40 samples)</li> <li><code>woven_alone</code>: measurements for the caracterisation of the woven film on a 200mm air plenum, no grid (all 40 samples)</li> <li><code>nonwoven_on_glasswool</code>: measurements of the response of 20 non-woven film samples clamped with a grid upstream and the same glass wool sample downstream on a rigid backing</li> <li><code>nonwoven_on_melamine</code>: measurements of the response of 20 non-woven film samples clamped with a grid upstream and the same melamine sample downstream on a rigid backing</li> <li><code>woven_on_glasswool</code>: measurements of the response of 20 woven film samples clamped with a grid upstream and the same glass wool sample downstream on a rigid backing</li> <li><code>woven_on_melamine</code>: measurements of the response of 20 woven film samples clamped with a grid upstream and the same melamine sample downstream on a rigid backing</li> </ul> <p>Each measurement is stored into a <code>.irk</code> <em>and</em> a <code>.rok</code> file. The first one contains some meta-data on the measurement process, the second contains the actual traces.</p> <p><strong>Structure of irk files</strong></p> <p>The <code>.irk</code> files contain the following meta-data:</p> <ul> <li>Date</li> <li>Medium ID</li> <li>Thickness</li> <li>Size of the air plenum</li> <li>Measure parameter l</li> <li>Measure parameter s</li> <li>Sampling frequency</li> <li>Tube radius [m]</li> <li>Average 1</li> <li>Average 2</li> <li>Temperature [&deg;C]</li> <li>Atmospheric pressure [Pa]</li> <li>Humidity [%]</li> <li>High cut-off frequency (generator) [Hz]</li> <li>Low cut-off frequency (generator) [Hz]</li> <li>Position of the cavity microphone</li> <li>Comments</li> </ul> <p><strong>Structure of rok files</strong></p> <p>The <code>.rok</code> files contain the following vector (column-major). The first line is to be omitted when reading the files, it contains the columns title. The columns are these:</p> <ul> <li>Frequency (Hz)</li> <li>Absorption coefficient</li> <li>Real part of the reflection coefficient</li> <li>Imaginary part of the reflection coefficient</li> <li>Real part of the normalised surface impedance</li> <li>Imaginary part of the normalised surface impedance</li> <li>Real part of the transfer function</li> <li>Imaginary part of the transfer function</li> <li>Real part of the normalised density</li> <li>Imaginary part of the normalised density</li> <li>Real part of the normalised compressibility</li> <li>Imaginary part of the normalised compressibility</li> <li>... frequency response functions used to compute the previous quantities</li> </ul> <p><strong>Characterisations</strong></p> <p>The directory <code>characterisations</code> contains YAML 1.2 files created from the output files of the characterisation software, exploiting the measurement data. There are three subdirectories:</p> <ul> <li><code>backings</code> contains the characterisation of the backings (each sample and an average file)</li> <li><code>nonwoven</code> contains the characterisation of the non-woven film (each sample and an average file)</li> <li><code>woven</code> contains the characterisation of the woven film (each sample and an average file)</li> </ul> <p><strong>More information</strong></p> <p>For further inquiry write to gaborit at kth dot se</p>

opencc-by-4.0Aug 2019View details →
zenodo32/100

The dataset of form drag coefficient of ice ridge keel in a two-layer fluid

<p>The LabE measurements and NumS dataset in the research of &quot;Form drag coefficient of ice ridge keel in a two-layer fluid&nbsp;&quot;</p>

opencc-by-4.0May 2022View details →
ClinicalTrials.gov32/100

New Technique of End-to-Side Two-Layered Duct-to-Mucosa Pancreaticojejunostomy With Omental Wrapping and Glue (Glubran 2) During Laparoscopic Whipple Operation

ClinicalTrials.gov study NCT07333755. IPD Sharing: YES. Countries: 1. Publications: 1.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov32/100

One-layer Versus Two-layer Duct-to-mucosa Pancreaticojejunostomy After Pancreaticoduodenectomy

ClinicalTrials.gov study NCT02511951. IPD Sharing: Not stated. Countries: 1. Publications: 4.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Two-Layer Method Preservation and Resuscitation of the Cadaveric Pancreas Before Transplantation

ClinicalTrials.gov study NCT00592280. IPD Sharing: Not stated. Countries: 1. Publications: 2.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

A Two-Layered Simple Interrupted Myometrial Suturing Reduces Uterine Niche Formation After Primary Cesarean Section

ClinicalTrials.gov study NCT07229222. IPD Sharing: NO. Countries: 1. Publications: 9.

closedIPD-NOFeb 2026View details →
zenodo28/100

Bio-Rollup: a new privacy protection solution for biometrics based on two-layer scalability-focused blockchain

<p>The eddx source file of Fig2 drawn by EdrawMax software.</p>

opencc-by-4.0Jun 2024View details →
ClinicalTrials.gov24/100

Two-layer Suturing of Achilles Tendon Ruptures

ClinicalTrials.gov study NCT05717270. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

NIche Development With Closure of Cesarean Uterotomy by Modified or Conventional Two-layer Technique

ClinicalTrials.gov study NCT02410395. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov20/100

One-layer Versus Two-layer Duct-to-mucosa Pancreaticojejunostomy After Pancreaticoduodenectomy .

ClinicalTrials.gov study NCT05387538. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
geo16/100

Neocortical temporal patterning by a two-layered regulatory structure

GEO Series GSE204701. Mus musculus. 26 samples. Type: Other; Genome binding/occupancy profiling by high throughput sequencing.

openGEO-OpenMay 2025View details →
zenodo16/100

Beaufort Gyre westward expansion simulation using a two-layer idelized model

<p>This data set supports the analysis presented in the manuscript: "Beta-drift of eddies drove Beaufort Gyre westward expansion during 2003-2014" (2023GL107142), which is under review for publication by Geophysical Research Letters. The model output contains 100 years of simulation for the nine models.The surface stress and deta effect are active, and their grid is configured with a 8 km horizontal resolution.&nbsp;</p><p>Simulation length: 100 years<br>Simulation machine: ubuntu on Desktop computer<br>Case name: ctrl, fast moving, slow moving, large area(large tau), stress asymmetry, largeneta,smallbeta, stress-constant,f-planet<br>Time range: 1-5182561 (corresponding to 1 to 100 model year);a model year=360 day;output frequency= 10 day</p><p>&nbsp;</p><p>model output:</p><p>eta:sea surface height; h1:halocline layer depth;tau: surface stress;u1/v1: halocline layer horizonal velocity</p><p>The mat file is named after the corresponding case. However, it is important to note that the data names inside the mat file are not the actual case names, but rather the names used for initial records.</p><p>&nbsp;</p><p>The model code modified from<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;aronnax (https://github.com/edoddridge/aronnax)</p><p>please refer to:</p><p>Doddridge, E. W., &amp; Radul, A. (2018). Aronnax: An idealised isopycnal ocean model. <i>Journal of Open Source Software</i>, 3(26), 592. <a href="http://doi.org/10.21105/joss.00592">http://doi.org/10.21105/joss.00592</a></p><p>for details of this code</p>

restrictedcc-by-4.0Nov 2023View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record