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365 results for “neutron”
The 48Ca+181Ta reaction: Cross section studies and investigation of neutron-deficient 86≤Z≤93 isotopes
<p>Example for RDM developments:</p> <p>Small result datasets given. Under development metadata schema provided</p> <p>This example dataset describes alpha-decaying chains from an experiment performed at the SHE Physics group at GSI Helmholtzzentrum fuer Schwerionenforschung GmbH. The reaction 48Ca+181Ta was used to produce neutron deficient isotopes of Np, Pa and U. The 48Ca beam was delivered by the UNILAC at a variety of selected energies with 5Hz repitition rate and 5ms pulse width. The evaporation residues were implanted into the focal plane detection system, COMPASS, where their alpha-decay signatures were measured.Further details are given in the linked publication.</p> <p>The data format is in comma-separated values format. Columns are as Energy(keV), Counts per energy bin, decay time (seconds) and counts per decay time bin. The decaying nucleus is given for each chain.</p>
INSPIRED: Inelastic Neutron Scattering Prediction for Instantaneous Results and Experimental Design
<p>INSPIRED is a graphic user interface (GUI) that performs rapid prediction and calculation of phonons and inelastic neutron scattering (INS) spectra. It consists of three modules. The "Predictor" module uses a symmetry-aware neural network (coupled with an autoencoder) [1-3] to perform direct prediction of total/partial phonon density of states and powder 1D/2D INS spectra from a given structure. The "DFT database" module uses pre-calculated force constants from density functional theory (DFT) [4] to perform INS simulations for single crystals and powders (for the crystals available in the database). The "MLFF" module uses pre-trained universal force fields [8-12] to perform structural optimization, phonon calculation, and INS simulations for single crystals and powders for any given crystal. The predicted/calculated results are saved in CSV files and can be visualized with the GUI. INSPIRED is developed to be a convenient tool for INS experimental planning, steering, and quick data analysis.</p> <p>This repository contains two files as an update to the previous version:</p> <p>1. A tarball file (dftdb.tar.gz) containing the DFT database (currently with 12734 crystals)</p> <p>2. A VirtualBox appliance file (inspired_vm.ova) to run INSPIRED as a virtual machine.</p> <p>The ML model file (model.tar.gz) remains the same and can be obtained from the previous version.</p> <p>Instructions on how to use these files, as well as the rest part of the software, can be found on the <a href="https://github.com/cyqjh/inspired">GitHub page</a>. </p>
Exploiting the potential of neutron imaging measurements for life sciences applications at the neutron spallation source, ISIS, UK - Crabs X-ray CT
<p>A ZIP file containing slices (in TIFF format) from a X-ray CT scan of crabs from the Eocene of Spain. Specimen was scanned on a Nikon Metrology HMX ST 225 system at the Natural History Museum, London, using a 1.0 mm thick copper filter, 225 kV voltage and 180 μA current, giving a tomographic dataset with a voxel size of 46 µm.</p>
Data, plotting scripts, and figures for "A Projective Method for Solving the Single-Group Space-Time Neutron Kinetics Equations with Precursor Advection"
<p>Contains all the files necessary for figure reproduction.</p>
Black-hole neutron-star binary simulation SXS:BHNS:0001
<p>Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>.</p>
Black-hole neutron-star binary simulation SXS:BHNS:0003
<p>Simulation of a black-hole neutron-star binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>.</p>
Black-hole neutron-star binary simulation SXS:BHNS:0002
<p>Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>.</p>
Binary neutron-star simulation SXS:NSNS:0002
<p>Simulation of a neutron-star binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>.</p>
Black-hole neutron-star binary simulation SXS:BHNS:0006
<p>Simulation of a black-hole neutron-star binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>.</p>
Black-hole neutron-star binary simulation SXS:BHNS:0004
<p>Simulation of a black-hole neutron-star binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>.</p>
Black-hole neutron-star binary simulation SXS:BHNS:0007
<p>Simulation of a black-hole neutron-star binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>.</p>
Binary neutron-star simulation SXS:NSNS:0001
<p>Simulation of a neutron-star binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>.</p>
Black-hole neutron-star binary simulation SXS:BHNS:0005
<p>Simulation of a black-hole neutron-star binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>.</p>
Constraining the Neutron Star Mass-Radius Relation and Dense Matter Equation of State with NICER. I. The Millisecond Pulsar X-Ray Data Set
<p>This deposit includes the cleaned, filtered and phase folded NICER event data set for the millisecond pulsar (MSP) PSR J0030+0451 in the 0.25-3 keV band. The data processing and filtering was performed using HEASoft 6.251 and NICERDAS version 5.0; the specific parameters and filtering criteria used are detailed in the ApJ Letter listed above. This event list was used to produce what is shown for PSR J0030+0451 in Figures 2, 3, and 4 in the accepted ApJ Letter listed above and was also used for the neutron star mass-radius and equation of state inference analyses presented in the companion papers (Miller et al. 2019, Riley et al. 2019, and Raaijmakers et al. 2019).</p> <p>The event file and its MD5 checksum is:<br> J0030+0451_merged_phase_0.25-3keV.fits (463bbac7203bb45bb02ea0deed49f083)<br> </p>
Neutron diffraction data of Sikkim and West Bengal samples
<p>This is the data set for the quartz pole figures for six quartzite samples from Sikkim and West Bengal, Indian Himalayas. The data for each sample starts with the sample label: SK222, WB03, WB10, WB11, WB41, and WB76.</p>
Mock Neutron raytracing openPMD data
<p>Here a mock dataset in h5 format is uploaded, which complies with the openPMD format with the neutron raytracing extension which is under construction. The extension can be found here: <a href="https://github.com/PaNOSC-ViNYL/openPMD-standard/blob/domex_neutron_raytracing/EXT_NRAYTRACING.md">https://github.com/PaNOSC-ViNYL/openPMD-standard/blob/domex_neutron_raytracing/EXT_NRAYTRACING.md</a></p> <p>The dataset is created manually, and serves as an example of a file that complies with the current version of the openPMD extension for neutron raytracing.The dataset includes particle states of 5000 neutrons after a neutron guide, which are generated with reasonable correlations between velocity, weight and time. The positions at the guide exit are random within a 3 by 8 cm^2 area.</p> <p>The neutron state includes:</p> <ul> <li>position (x,y,z)</li> <li>positionOffset (x,y,z)</li> <li>velocity(x,y,z)</li> <li>polarization (x,y,z)</li> <li>weights</li> <li>time</li> </ul> <p>The python script used to generate this data is included.</p> <p>This dataset is part of the Deliverable D5.1 in Workpackage 5 (Virtual Neutron and X-ray Laboratory) of the Photon and Neutron Open Science Cloud (PaNOSC).</p> <p>This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 823852.</p>
Neutron tomography (CT) image data of tungsten fusion energy heat exchange components
<p>Neutron tomography (CT) image data of tungsten fusion energy heat exchange components.</p> <p>The dataset includes three sets of images:</p> <ul> <li>ITER_171T-WA-0002_MB (ITER reference monoblock)</li> <li>CCFE_ThBr_MB (Culham Centre for Fusion Energy thermal break concept monoblock)</li> <li>ROIsamples_Stack (A stack of four region of interest samples*)</li> </ul> <p>The region of interest samples within the stack are as below:</p> <ul> <li>CCFE_ThBr_ROI (Culham Centre for Fusion Energy thermal break concept monoblock)</li> <li>IPP_Wf-Cu_p5_s1 (Max-Planck-Institut für Plasmaphysik tungsten fibre / copper matrix coolant pipe)</li> <li>ITER_HHFT_ROI (ITER reference monoblock which has undergone high heat flux testing)</li> <li>ITER_17IT-WA-0002_ROI (ITER reference monoblock)</li> </ul> <p>This data was used originally for the following publication (please cite if re-using the data) where further details on the data may be obtained:</p> <p>Ll.M. Evans, L. Margetts, P.D. Lee, C.A.M. Butler, E. Surrey, “Image based in silico characterisation of the effective thermal properties of a graphite foam”, Carbon, Vol. 143, pp. 542-558, 2018. <a href="https://doi.org/10.1016/j.carbon.2018.10.031">https://doi.org/10.1016/j.carbon.2018.10.031</a></p> <p>Each of the sample directories include reconstructed slices in Tiff format. To visualise the 3D volume use software such as ImageJ (https://imagej.net/Fiji/Downloads).</p> <p>CCFE_ThBr_ROI and ROIsamples_Stack include raw radiographs; dark and flat field images; scan & reconstruction parameter settings file.</p> <p>ITER_171T-WA-0002_MB includes data relating to the modulation transfer function (MTF) measurement.</p> <p>An X-Ray CT version of the ROI data is available for comparison: <a href="https://doi.org/10.5281/zenodo.3533420">https://doi.org/10.5281/zenodo.3533420</a></p> <p>Image-based simulation (IBSim) meshes were generated directly from these datasets: <a href="https://doi.org/10.5281/zenodo.3533422">https://doi.org/10.5281/zenodo.3533422</a></p>
Neutron activation analysis data of pottery from Cerro Mayal and the Chicama Valley, Peru
<p>Neutron activation analysis data of pottery from Cerro Mayal and other sites in the Chicama Valley, La Libertad Department, Peru.</p>
FIGURE 2 in Pushing the limits of neutron tomography in palaeontology: Three-dimensional modelling of in situ resin within fossil plants
FIGURE 2. Austrosequoia novae-zeelandiae (Ettingshausen, 1887) Mays et al., 2017, PL1227. 1) Transverse section of a partially exposed, desiccated ovulate cone. 2) Neutron tomographic reconstruction largely encapsulated in sedimentary matrix, white indicates high neutron attenuation, oblique-transverse view. 3) Volume rendering of neutron tomographic reconstruction, RNA = Relative Neutron Attenuation, grid texture on RNA spectrum indicates relative transparency, regions of highest neutron attenuation represent in situ resin within cone axis and minor enclaves of resin near the distal ends of the bract-scale complexes, desiccation exhibited by large gaps in coalified organic remains (blue/green), oblique-transverse view. 4) Greyscale histogram from neutron tomographic reconstruction of PL1227 (16-bit) these values represent the neutron attenuation of the reconstructed volume, colours and transparency textures as per Figure 2.3, threshold values presented in Table 2, the spectrum has been cropped at the extremes for this graphical representation. See Appendix for an animation of the virtually extracted specimen illustrated in Figure 2.3.
FIGURE 1. 1 in Pushing the limits of neutron tomography in palaeontology: Three-dimensional modelling of in situ resin within fossil plants
FIGURE 1. 1) Map of eastern Zealandia including New Zealand and the Chatham Islands, grey areas = emergent, grey outline = 2000 m isobath, boxed area is displayed in Figure 1.2. 2) Map of the Chatham Islands, grey areas = emergent, boxed area is displayed in Figure 1.3. 3) Geological map of the Waihere Bay area, northwest Pitt Island, fossil locality recorded in this study is indicated, age estimates from the following sources: Tupuangi Formation (Mildenhall, 1994; Mays and Stilwell, 2013), Kahuitara Tuff (Mildenhall, 1994; Stilwell, 1998), other estimates (Campbell et al., 1993; Panter et al., 2006). Modified from figures 1 and 3 of Mays et al. (2015b) with permission.
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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.