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1,071 results for “shield”
Regional landform and landscape digital maps for the Eastern Guiana Shield
<p>Archive containing digital <strong>maps of 'landform types' and 'landscape units' for French Guiana and the State of Amapa (Brazil).</strong> These maps accompany the paper 'Using textural analysis for regional landform and landscape mapping, Eastern Guiana Shield', <em>Geomorphology</em> (doi:10.1016/j.geomorph.2 018.03.017) and have been produced according to the methods presented therein.</p> <p><br> </p>
Data from Simulations of a Magnetic Shielding System to Deflect Background-Inducing Secondary Electrons away from Space-Based X-ray Detectors
<p>Data from simulations examining the effect of cosmic rays and secondary particles generated by them on background induced in an X-ray astronomy space telescope, and the effectiveness of a surrounding magnetic field at reducing this background.</p> <p>These simulations were performed for the paper “Effectiveness of a dual solenoid magnetic shield at reducing X-ray-like background in silicon-based X-ray detectors” (2023) published in the Journal of Astronomical Telescopes Instruments and Systems. The paper can also be found at https://openresearch.surrey.ac.uk/esploro/outputs/journalArticle/The-Effectiveness-of-a-Dual-Solenoid/99777566602346/filesAndLinks?forceView=true&mode=quickaccess&index=0 .</p> <p>This data was also used for the simulations and analysis described in the thesis "The Simulation, Composition and Shielding of Radiation-Induced X-ray-like Background in Space-Based X-ray Astronomy Missions" (2021), which can be found at <a href="https://doi.org/10.21954/ou.ro.00012e1f">https://doi.org/10.21954/ou.ro.00012e1f</a> .</p>
figure data for "Subsurface radiation environment of Mars and its implication for shielding protection of future habitats" by L.Röstel, J.Guo et al. 2020
<pre>This data of dose rates at different elevations above and below the Martian surface was modeled using the GEANT4-based AtRIS toolkit. Please refer to the following paper for reference and a detailed description of the model and scaling: „Subsurface radiation environment of Mars and its implication for shielding protection of future habitats“, L.Röstel, J.Guo et al. 2020 JGR: planets. List of files: AbsorbedDosePrimariesAR.txt - figures 2 in the paper EquivalentDosePrimariesAR.txt - figure 3 AbsorbedDoseSiliconSlabScenarios.txt - figure 4 AbsorbedDoseWaterSphereScenarios.txt - figure 5 EquivalentDoseWaterSphereScenarios.txt - figure 6 NeutronFlux.txt - figure 7 RequiredShieldingDepth.txt - figure 8</pre>
Locked Shields Partners Run 23 (LSPR23): A novel IDS dataset from the largest live-fire cybersecurity exercise
<p>IDS Dataset from the Largest Live Fire Cybersecurity Exercise Using Virtual Blue Team Network Traffic.<br><br></p> <ul> <li> <p>LSPR23 is derived from Locked Shields 2023, a major live-fire cyber defense exercise.</p> </li> <li> <p>LSPR23 includes ~16M network flows, of which ~1.6M are labeled malicious.</p> </li> </ul> <p> </p> <p>Please cite our research article:"LSPR23: A novel IDS dataset from the largest live-fire cybersecurity exercise" when using our dataset:<br>https://doi.org/10.1016/j.jisa.2024.103847<br><br><br></p>
Dataset for "Beating 1 Sievert: Optimal Radiation Shielding of Astronauts on a Mission to Mars" publication in Space Weather journal
<p>Datasets in .fig Matlab format and figures in .jpg format published in Space Weather journal</p> <p>effectiveDoseRF.mat contains the effective dose "response functions" and an example (how2useDoseResponceFunctions.m) of how to use them to assess GCR dose.</p>
Shielding performance of the 98 first chemical elements against trapped particles on GTO
<p>The 1LayerElements.csv file contains the shielding performance results for the first 98 chemical elements against trapped particles in Geostationary Transfer Orbit (GTO).<br> The material properties are sourced from the Geant4 material database, with materials referenced by their Geant4 material database names<br> For elements that are gases under normal conditions, the liquified version from the Geant4 database is used if available, denoted by an "l" prefix (e.g., "G4_lH2").<br> The particle spectra used for this simulation are provided in the files AE9500keV.mac and AP910MeV.mac.<br> The simulated geometry is provided in the file 1LayerElements.gdml<br> <br> 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.<br> The simulation was performed with GRAS / Geant4 with the FTFP_BERT physics model using 4.3e+10 electrons and 1e+08 protons directed against slabs of shielding materials of 1.5 g/cm2 depth.<br> The ionizing dose is recorded in 0.5mm thick silicon plates behind the shielding plates.</p> <p>Column A: Z-number of the element.<br> Column B: Name of the material as referenced from the Geant4 material database.<br> Column C: Ionizing dose due to electrons in units of kRad per month.<br> Column D: Absolute statistical error in the electron dose due to the statistical nature of the Monte-Carlo simulation in kRad per month.<br> Column E: ionizing dose due to protons in kRad per month.<br> Column F: Absolute statistical error in the proton dose in kRad per month. <br> Column G: Total ionizing dose from electrons and protons in kRad per month.<br> Column H: Absolute statistical error in the total ionizing dose in kRad per month. <br> Column I: Relative statistical error of the total ionizing dose in per cent.<br> Column J: Rank of the material sorted from lowest total ionizing dose to highest.<br> Column K: Rank of the material sorted from lowest electron dose to highest.<br> Column L: Rank of the material sorted from lowest proton dose to highest.</p> <p>All dose values are rounded according to their uncertainty.</p>
Simulated shielding performance of 1024 five-layer permutations of four satellite and radiation shielding materials against trapped particles on GTO
<p>The 5Layer.csv file contains ionizing dose results of simulating the shielding performance of all 1024 five-layer permutations of four satellite and radiation shielding materials against trapped particles on GTO.<br> The materials are the aluminium alloy 7075 (Al_7075), polyethylene (G4_POLYETHYLENE), tungsten (G4_W) and the circuit board composite material FR4 (FR4).<br> The particle spectra used for this simulation are provided in the files AE9500keV.mac and AP910MeV.mac.<br> The simulated geometry is provided in the file 5Layer.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.<br> The simulation was performed with GRAS / Geant4 with the FTFP_BERT physics model using 1.4e+11 electrons and 3.1e+09 protons directed against slabs of shielding materials of 1.5 g/cm2 total depth with each of the five layers being 0.3 g/cm2 in depth.<br> The ionizing dose is recorded in 0.5mm thick silicon plates behind the shielding plates.<br> <br> Column A: ID of the material combination<br> Column B: Name of the top layer material.<br> Column C: Name of the second layer material.<br> Column D: Name of the third layer material.<br> Column E: Name of the fourth layer material.<br> Column F: Name of the bottom layer material.<br> Column G: Ionizing dose due to electrons in units of kRad per month.<br> Column H: Absolute statistical error in the electron dose in kRad per month.<br> Column I: Ionizing dose due to protons in kRad per month.<br> Column J: Absolute statistical error in the proton dose in kRad per month. <br> Column K: Total ionizing dose from electrons and protons in kRad per month.<br> Column L: Absolute statistical error in the total ionizing dose in kRad per month. <br> Column M: Relative statistical error of the total ionizing dose in per cent.<br> Column N: Rank of the material combination sorted from lowest total ionizing dose to highest.<br> Column O: Rank of the material combination sorted from lowest electron dose to highest.<br> Column P: Rank of the material combination sorted from lowest proton dose to highest.</p> <p>All dose values are rounded according to their uncertainty.</p>
Simulated shielding performance of 1296 four-layer permutations of six common satellite and radiation shielding materials against trapped particles on GTO
<p>The 4Layer.csv file contains ionizing dose results of simulating the shielding performance of all 1296 four-layer permutations of six common satellite and radiation shielding materials against trapped particles on GTO.<br> The materials are the aluminium alloy 7075 (Al_7075), polyethylene (G4_POLYETHYLENE), kevlar (G4_KEVLAR), tungsten (G4_W), stainless steel (G4_STAINLESS_STEEL) and the circuit board composite material FR4 (FR4).<br> The particle spectra used for this simulation are provided in the files AE9500keV.mac and AP910MeV.mac.<br> The simulated geometry is provided in the file 4Layer.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.<br> The simulation was performed with GRAS / Geant4 with the FTFP_BERT physics model using 6.6e+10 electrons and 3.8e+09 protons directed against slabs of shielding materials of 1.5 g/cm2 total depth with each of the four layers being 0.375 g/cm2 in depth.<br> The ionizing dose is recorded in 0.5mm thick silicon plates behind the shielding plates.<br> <br> Column A: ID of the material combination<br> Column B: Name of the top layer material.<br> Column C: Name of the second layer material.<br> Column D: Name of the third layer material.<br> Column E: Name of the bottom layer material.<br> Column F: Ionizing dose due to electrons in units of kRad per month.<br> Column G: Absolute 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: Absolute 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: Absolute statistical error in the total ionizing dose in kRad per month. <br> Column L: Relative statistical error of the total ionizing dose in per cent.<br> Column M: Rank of the material combination sorted from lowest total ionizing dose to highest.<br> Column N: Rank of the material combination sorted from lowest electron dose to highest.<br> Column O: Rank of the material combination sorted from lowest proton dose to highest.</p> <p>All dose values are rounded according to their uncertainty.</p>
Glycosylated models for: The diversity of the glycan shield of sarbecoviruses closely related to SARS-CoV-2
<p>Glycosylated models (as PDB files) of the sarbecovirus spike proteins used in the study: The diversity of the glycan shield of sarbecoviruses closely related to SARS-CoV-2.</p>
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 "l" prefix (e.g., "G4_lH2"). 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>
Graphs for DCRs using SPD with shield for possible variation using standard and armoured fibre
<p>Dark Count Rate (DCR) graphs related to shield with possible variation using standard and armoured fibre for Single Photon Detector (SPD).</p>
Fig. 10. Interior frontal shield. A in Diversity and distribution of adeonid bryozoans (Cheilostomata: Adeonidae) in Japanese waters
Fig. 10. Interior frontal shield. A. Adeonellopsis japonica (Ortmann, 1890) (NSMT-Te1052). B. A. parvirostrum sp. nov. (NSMT-Te807). Arrowheads indicate ring scar. SEM images. Scale bars: A = 50 μm; B = 25 μm.
Flank vents locations on six shield volcanoes from the Solar System.
<p>The dataset contains six .txt files with the location of flank vents from six shield volcanoes located on Venus, Earth, and the Moon. The shield volcanoes are the following:<br> -Mauna Kea, Earth, with a total of 204 vents (GCS_WGS_1984).<br> -Pinacate, Earth, with a total of 433 vents (GCS_WGS_1984).<br> -Marius Hills, Moon, with a total of 212 vents (GCS_Moon_2000).<br> -Mons Rümker, Moon, with a total of 24 vents (GCS_Moon_2000).<br> -Kunapipi Mons, Venus, with a total of 125 vents (GCS_Venus_1985).<br> -Var Mons, Venus, with a total of 88 vents (GCS_Venus_1985).<br> The files contain latitude and longitude coordinates.</p>
Dataset for paper entitled "Development of Fully Shielded Soft Inductive Tactile Sensors"
<p>This dataset includes all the experimental and FE results presented in the IEEE ICECS 2019 paper "Development of Fully Shielded Soft Inductive Tactile Sensors" (DOI: 10.1109/ICECS46596.2019.8964922).<br> URL of IEEE Xplore:<br> https://ieeexplore.ieee.org/abstract/document/8964922</p> <p>List of data in this dataset:<br> Fig-2-FE modeling-FS-SITS.xlsx<br> Fig-4-Exp_characterization-FS-SITS.xlsx<br> Fig-5-Exp_Demo-FS-SITS.xlsx</p> <p>All the data included in this dataset were collected by Dr. Hongbo Wang.</p> <p>Contact person:<br> Dr. Hongbo Wang, ustcwhb@gmail.com</p>
FIG. 5 in Terminalia carinata Sabatier & J.Engel, sp. nov. (Combretaceae), a new large tree species from the Guiana shield revealed by re-examination of material previously identified as T. guyanensis Eichler
FIG. 5. — Terminalia guyanensis Eichler: A, fruiting branch; B, transverse section of fruit; C, inflorescences; D, longitudinal section (left) and lateral view (right) of flower; A, B, Sabatier 6331 (CAY); C, D, Sabatier & al. 6018 (P). Drawn by Laurence Ramon. Scale bars: A, B, 2 cm; C, 1 cm; D, 1 mm.
FIG. 3 in Terminalia carinata Sabatier & J.Engel, sp. nov. (Combretaceae), a new large tree species from the Guiana shield revealed by re-examination of material previously identified as T. guyanensis Eichler
FIG. 3. — Leaf abaxial surface in SEM: A-D, Terminalia carinata Sabatier & J.Engel, sp. nov.; note the hidden stomata; E, F, Terminalia guyanensis Eichler; A, B, Sabatier et al. 4891; D, E, De Granville et al. 10958; E, F, Sabatier et al. 6018. Scale bars: A, C, E, 200 µm; B, D, F, 100 µm.
FIG. 2 in Terminalia carinata Sabatier & J.Engel, sp. nov. (Combretaceae), a new large tree species from the Guiana shield revealed by re-examination of material previously identified as T. guyanensis Eichler
FIG. 2. — Terminalia carinata Sabatier & J.Engel, sp. nov.: A, B, inflorescences; C, fruiting branch (note fruit keeled on one side and flat on the other); D, stem with leaves; note: i) the typical Terminalia arrangement of leaves clustered at twig tips; and ii) the leaf margin revolute at very base; E, trunk; F, trunk slash; A, B, Mori & Gracie 18653; C, Sabatier et al. 4891 (type specimen); D, Sabatier 2309. A, B, Photographs by Carol Gracie; C, D, photographs by Daniel Sabatier; E, F, photographs by Julien Engel.
FIG. 1 in Terminalia carinata Sabatier & J.Engel, sp. nov. (Combretaceae), a new large tree species from the Guiana shield revealed by re-examination of material previously identified as T. guyanensis Eichler
FIG. 1. — Terminalia carinata Sabatier & J.Engel, sp. nov.: A, stem with leaves; B, detail of abaxial leaf surface; C, inflorescences with a young shoot of leaves; D, flower; E, longitudinal section of flower; F, three views of stamens; G, fruits; H, transverse section of fruit; A, B, Boom & Mori 2134 (CAY); C-F, Mori & Gracie 18653 (CAY); G, H, Mori & Boom 15121 (CAY). Drawn by Laurence Ramon. Scale bars: A, C, G, H, 1 cm; B, D, E, 1 mm; F, 0.5 mm.
FIG. 4 in Terminalia carinata Sabatier & J.Engel, sp. nov. (Combretaceae), a new large tree species from the Guiana shield revealed by re-examination of material previously identified as T. guyanensis Eichler
FIG. 4. — Distribution of Terminalia guyanensis Eichler and Terminalia carinata Sabatier & J.Engel, sp. nov.: (·) T. guyanensis and (▲) T. carinata Sabatier & J.Engel, sp. nov., herbarium specimens; () T. guyanensis and () T. carinata Sabatier & J.Engel, sp. nov., observations (no voucher) from the GUYADIV and GUYAFOR networks (Engel 2015).
FIG. 6 in Terminalia carinata Sabatier & J.Engel, sp. nov. (Combretaceae), a new large tree species from the Guiana shield revealed by re-examination of material previously identified as T. guyanensis Eichler
FIG. 6. — Terminalia guyanensis Eichler: A, fruiting branch; B, inflorescences; C, trunk; D, bark with a machete slash; A, Sabatier & Molino 5682 (CAY); B-D, Sabatier et al. 6018 (P). A-D, Photographs by Daniel Sabatier.
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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.