Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
433
datasets available to search
ShareScore release 0.9.0
Dataset results
433 results for “FE”
16807 thoracolumbar osteo-ligamentous spine virtual FE input files (part-13: model 12292 to 13292)
<p><em><strong>16807 thoracolumbar osteo-ligamentous spine virtual FE input files (part-13: model 12292 to 13292)</strong></em></p> <ul> <li>16807 FE input files representing thoracolumbar spine hexahedral models, including point coordinates. To reduce the size of shared virtual finite element (FE) models, only point coordinates are shared here. The mean FE input file "<a href="https://zenodo.org/api/files/bdc067d7-cb7d-40b7-9974-5ada43e1a0c5/Mean_Model%20%28Template%29.inp">Mean_Model (Template).inp</a>" is also shared, which includes point coordinates, mesh connectivity IDs, and element sets. To generate virtual FE input files for any of the 16807 models, the corresponding shared point coordinates can be replaced into the mean FE input file (<a href="https://zenodo.org/api/files/bdc067d7-cb7d-40b7-9974-5ada43e1a0c5/Mean_Model%20%28Template%29.inp">Mean_Model (Template).inp</a>). Mesh connectivity IDs, and element sets are the same in all of FE input files. Mean FE input file includes vertebras and IVDs hexahedral meshes; pelvis, sacrum, and the femoral head triangulated meshes; and ligaments. Each point coordinate file is almost 39MB.</li> <li>An excel file: "<a href="https://zenodo.org/api/files/bdc067d7-cb7d-40b7-9974-5ada43e1a0c5/Descriptive_List%20%2816807_FE_virtual_models%29.xlsx">Descriptive_List (16807_FE_virtual_models).xlsx</a>" reporting measured spinopelvic parameters for 16807 virtual FE hexahedral models. The Excel file includes measured spinopelvic parameters (PI, PT, SS, LL, LL-PI, GT, RPV, RLL, LDI, RSA, TPA, and scoliosis cobb angle), GAP and IVD centric thickness for FE virtual cohort. Model ID in the excel file is correspondent to the model’s name.</li> <li>One video file: "how_to_replace_point_coordinates.mp4". It shows how you can replace point coordinates here to the mean FE input file "<a href="https://zenodo.org/api/files/bdc067d7-cb7d-40b7-9974-5ada43e1a0c5/Mean_Model%20%28Template%29.inp">Mean_Model (Template).inp</a>" in order to generate specific FE input file.</li> </ul> <p><em><strong>Notes:</strong></em></p> <p>1- Model number in "<a href="https://zenodo.org/api/files/bdc067d7-cb7d-40b7-9974-5ada43e1a0c5/Descriptive_List%20%2816807_FE_virtual_models%29.xlsx">Descriptive_List (16807_FE_virtual_models).xlsx</a>" is correspondent to the same model number in the 16807 stereolithography (stl) files (.stl extension) representing the virtual thoracolumbar spine triangulated meshes (DOI: 10.5281/zenodo.7715658; stl.part01.rar to stl.part09.rar).</p> <p>2-These point coordinates are sampled by combining the first 5 shape modes of the morphed-mesh statistical shape model in which each shape mode is discretized into 7 standard deviations: -3, -2, -1, 0, 1, 2, 3.</p> <p>3- Generated FE inp files can be opened by Abaqus 2019 and later. Any other FE software which supports .inp extension also can open the files.</p> <p><em><strong>Developed by: </strong></em>Morteza Rasouligandomani (Ph.D. student in biomedical engineering, Pompeu Fabra university, BCN Med-Tech group, DTIC department, Barcelona, Spain).</p> <p>Email contact: morteza.rasouli@upf.edu</p>
16807 thoracolumbar osteo-ligamentous spine virtual FE input files (part-16: model 15295 to 16295)
<p><em><strong>16807 thoracolumbar osteo-ligamentous spine virtual FE input files (part-16: model 15295 to 16295)</strong></em></p> <ul> <li>16807 FE input files representing thoracolumbar spine hexahedral models, including point coordinates. To reduce the size of shared virtual finite element (FE) models, only point coordinates are shared here. The mean FE input file "<a href="https://zenodo.org/api/files/bdc067d7-cb7d-40b7-9974-5ada43e1a0c5/Mean_Model%20%28Template%29.inp">Mean_Model (Template).inp</a>" is also shared, which includes point coordinates, mesh connectivity IDs, and element sets. To generate virtual FE input files for any of the 16807 models, the corresponding shared point coordinates can be replaced into the mean FE input file (<a href="https://zenodo.org/api/files/bdc067d7-cb7d-40b7-9974-5ada43e1a0c5/Mean_Model%20%28Template%29.inp">Mean_Model (Template).inp</a>). Mesh connectivity IDs, and element sets are the same in all of FE input files. Mean FE input file includes vertebras and IVDs hexahedral meshes; pelvis, sacrum, and the femoral head triangulated meshes; and ligaments. Each point coordinate file is almost 39MB.</li> <li>An excel file: "<a href="https://zenodo.org/api/files/bdc067d7-cb7d-40b7-9974-5ada43e1a0c5/Descriptive_List%20%2816807_FE_virtual_models%29.xlsx">Descriptive_List (16807_FE_virtual_models).xlsx</a>" reporting measured spinopelvic parameters for 16807 virtual FE hexahedral models. The Excel file includes measured spinopelvic parameters (PI, PT, SS, LL, LL-PI, GT, RPV, RLL, LDI, RSA, TPA, and scoliosis cobb angle), GAP and IVD centric thickness for FE virtual cohort. Model ID in the excel file is correspondent to the model’s name.</li> <li>One video file: "how_to_replace_point_coordinates.mp4". It shows how you can replace point coordinates here to the mean FE input file "<a href="https://zenodo.org/api/files/bdc067d7-cb7d-40b7-9974-5ada43e1a0c5/Mean_Model%20%28Template%29.inp">Mean_Model (Template).inp</a>" in order to generate specific FE input file.</li> </ul> <p><em><strong>Notes:</strong></em></p> <p>1- Model number in "<a href="https://zenodo.org/api/files/bdc067d7-cb7d-40b7-9974-5ada43e1a0c5/Descriptive_List%20%2816807_FE_virtual_models%29.xlsx">Descriptive_List (16807_FE_virtual_models).xlsx</a>" is correspondent to the same model number in the 16807 stereolithography (stl) files (.stl extension) representing the virtual thoracolumbar spine triangulated meshes (DOI: 10.5281/zenodo.7715658; stl.part01.rar to stl.part09.rar).</p> <p>2-These point coordinates are sampled by combining the first 5 shape modes of the morphed-mesh statistical shape model in which each shape mode is discretized into 7 standard deviations: -3, -2, -1, 0, 1, 2, 3.</p> <p>3- Generated FE inp files can be opened by Abaqus 2019 and later. Any other FE software which supports .inp extension also can open the files.</p> <p><em><strong>Developed by: </strong></em>Morteza Rasouligandomani (Ph.D. student in biomedical engineering, Pompeu Fabra university, BCN Med-Tech group, DTIC department, Barcelona, Spain).</p> <p>Email contact: morteza.rasouli@upf.edu</p>
Repository of IVD Patient-Specific FE Models
<p>Free repository of 169 PP FE models of the IVD. Resulting cohort from a morphing process as a free-access repository to further empower the scientific community. This initiative underlines our commitment to promoting standardization and facilitating a more comprehensive understanding of the mechanisms underlying IVD degeneration.</p>
Reevaluated P-V-T Dataset for (Mg,Fe)SiO3 post-Perovskite
<p>This is a collection of pressure, volume, and temperature data for (Mg,Fe)SiO<sub>3</sub> post-perovskite collected in laser-heated diamond anvil cells. The volumes and temperatures are collected from previous studies, and the pressures are reevaluated according to the internally consistent pressure scale of Dorogokupets and Dewaele (2007). A Monte Carlo sampling routine was used to propagate uncertainty from the measured volumes and temperatures, as well as uncertainties in the pressure scale parameters, to the final pressure uncertainties.</p>
Figure 2 in The Trichoptera of Panama. XI. Three new species of caddisflies in the genus Smicridea McLachlan (Trichoptera: Hydropsychidae) from Omar Torrijos and Santa Fe National Parks
Figure 2. Smicridea (Smicridea) spatulata Rázuri-Gonzales and Armitage, sp. n., male genitalia. A) Lateral view. B) Dorsal view. C) Left inferior appendage, ventral view. D) Phallic apparatus, lateral view (inset: posterodorsal margin projection, dorsal view). E) Phallic apparatus, ventral view.
Figure 3 in The Trichoptera of Panama. XI. Three new species of caddisflies in the genus Smicridea McLachlan (Trichoptera: Hydropsychidae) from Omar Torrijos and Santa Fe National Parks
Figure 3. Smicridea (Smicridea) dividua Rázuri-Gonzales and Armitage, sp. n., male genitalia. A) Lateral view. B) Dorsal view. C) Left inferior appendage, ventral view. D) Phallic apparatus, lateral view (inset: posterodorsal margin projection, dorsal view). E) Phallic apparatus, ventral view.
Figure 1 in The Trichoptera of Panama. XI. Three new species of caddisflies in the genus Smicridea McLachlan (Trichoptera: Hydropsychidae) from Omar Torrijos and Santa Fe National Parks
Figure 1. Smicridea (Smicridea) lata Rázuri-Gonzales and Armitage, sp. n., male genitalia. A) Lateral view. B) Dorsal view. C) Left inferior appendage, ventral view. D) Phallic apparatus, lateral view (inset: posterodorsal margin projection, dorsal view). E) Phallic apparatus, ventral view.
Atom probe tomography data collection from DIN 1.4970 (15-15Ti) austenitic stainless steel irradiated with Fe ions
<p>This dataset comprises a large collection of atom probe tomography datasets collected from DIN 1.4970 alloy that was irradiated with Fe ions at different conditions. The DIN 1.4970 alloy is an austenitic stainless steel with 15 wt% Cr, 15 wt% Ni, a small addition of Ti. The full composition and characterization of our material can be found published elsewhere [1,2].</p> <p>Some of our material was subjected to ageing heat treatments at different temperatures for different times. Small samples of our original material and aged material was irradiated at the Michigan Ion Beam Laboratory in 2017 with 4.5 MeV Fe ions up to 40 dpa at an average dose rate of <span class="math-tex">\(2 \times 10^{-4}\)</span> dpa/s. This was done at three different temperatures: 300, 450, and 600 ºC. Atom probe samples were made of the irradiated layers (approximately 1.5 micron deep) with focused ion beam and mounted on Microtip coupons. APT measurements took place on three CAMECA LEAP-HR systems located at CAES in Idaho Falls, USA (files beginning with R33), at Montanuniversität Leoben in Leoben, Austria (R21) and at Friedrich–Alexander University in Erlangen, Germany (R56).</p> <p>The contents of this archive are:</p> <ul> <li>A folder containing the raw RHIT files</li> <li>A folder containing all the reconstructions and miscelaneous analysis files made by the author</li> <li>An excel file which indicates which measurement number stands for what material</li> <li>A suggested range file</li> </ul> <p>The RHIT files can only be used if one has access to the full IVAS 3.x version in order to make new reconstructions.</p> <p>The reconstructions and analysis folder can be useful to anyone. The folder buildup structure is similar to a project folder created by IVAS and should be directly importable into IVAS. Most folders are simply named after the RHIT file they were constructed from, though some have slightly modified names to include date of creation, extra information,... Inside all these folders you will find the recons folder and inside multiple reconstructions. At the deepest level you will find .pos files which can be read into free software such as python or <a href="http://threedepict.sourceforge.net/">3depict</a>. The range file that will give decent results on all these measurements is given at the top level; slight modifications may need to be applied for each measurement. Inside all folders you will also find numerous files (csv, png, jpg, ...) that were created by analyzing the data in IVAS. Sometimes the file names are very descriptive, sometimes less so. Sometimes these files were not saved to the default analysis folder but elsewhere on my drive. To be complete, I have moved all of these files into the top level folder. Therefore, besides the imagoAnalysis and recons folders, you will sometimes find additional folders and files in the folder. By different merging procedures, there may be multiple copies of the same files present as well. Unfortunately, the reconstructions and analysis folder is rather chaotic, as is the nature of file creation by IVAS.</p> <p>It is most instructive to start with the excel file at the top level of the archive. The first sheet contains some information, mostly the same as mentioned here. The second sheet pertains to the ion irradiations that were performed. The table colunms are self explanatory. Each irradiated sample was given a particular alias (first column), which relates it to the slot in the storage box in which it is stored. 5 different materials appear in the irradiations:</p> <ul> <li>T24 = tube, 24% cold worked. This represents the material as it was received from the manufacturer.</li> <li>T24-800C2h = the as-received material with an ageing heat treatment of 2 hours for 800 ºC applied.</li> <li>T24-600C4h = the as-received material with an ageing heat treatment of 4 hours for 600 ºC applied.</li> <li>T24-600C2868h = the as-received material with an ageing heat treatment of 2868 hours for 600 ºC applied.</li> <li>T46 = tube 46% cold worked. This represents another material received from the manufacturer</li> <li>AIM1 = another related material with a higher P and Si content obtained from another research institute</li> </ul> <p>All these materials were irradiated under different conditions as given in the subsequent columns. The irradiation parameters were drawn directly from reports produced by the lab, but we suspect some typos slipped into the reports. We do know for certain that the samples were irradiated up to a surface dose of 40 dpa, at least according to a <a href="http://www.srim.org/">SRIM calculation</a> with the K-P model. Atom probe results only pertain to T24 and T24-800C2h. A few measurements were conducted on T24-600C4h material but this material was not irradiated.</p> <p>The last sheet gives an overview of all the APT measurements included in this archive. The first column pertains to the sample alias in sheet 2: the irradiated disc from which the samples were made. The sample detail column details the history of the sample for convenience: T24 - <heat treatment conditions> - <irradiation conditions>. When in doubt, one can look up the sample alias in sheet 2. The filename pertains to the APT measurement RHIT file. For the 3 measurements performed in Leoben, RHIT files are not included in this archive. Finally a few details such as approximate ion count and some comments are included for some measurements.</p> <p>Funding: This work was supported by ENGIE [contract number 2015-AC-007 e BSUEZ6900]; the U.S. Department of Energy, Office of Nuclear Energy under DOE Idaho Operations Office Contract DE-AC07- 051D14517 as part of a Nuclear Science User Facilities experiment; and by the MYRRHA program in development at SCK-CEN, Belgium. Funding of the Austrian BMVIT (846933) in the framework of the program "Production of the future" and the "BMVIT Professorship for Industry" is gratefully acknowledged.</p> <p> </p> <p><a href="https://www.sciencedirect.com/science/article/pii/S0022311518300485">[1] N. Cautaerts, R. Delville, E. Stergar, D. Schryvers, M. Verwerft, Tailoring the Ti-C Nanoprecipitate Population and Microstructure of Titanium Stabilized Austenitic Steels, J. Nucl. Mater. 507 (2018) 177–187. doi:10.1016/j.jnucmat.2018.04.041.</a></p> <p> </p> <p><a href="https://www.sciencedirect.com/science/article/pii/S1359645418308103">[2] N. Cautaerts, R. Delville, E. Stergar, D. Schryvers, M. Verwerft, Characterization of (Ti,Mo,Cr)C Nanoprecipitates in an Austenitic Stainless Steel on the Atomic Scale, Acta Mater. 164 (2018) 90–98. doi:10.1016/J.ACTAMAT.2018.10.018.</a></p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p>
Pendant drop test of Fe-57Si
<p>Measurement of surface tension and density of the Fe-57Si alloy (43 wt% Fe, 57 wt% Si) by pendant drop method. </p>
[Data] Acoustic emission signature of martensitic transformation in Laser Powder Bed Fusion of Ti6Al4V-Fe, supported by operando X-ray diffraction
<p>The dataset for this study focuses on investigating Acoustic Emission (AE) monitoring in the Laser Powder Bed Fusion (LPBF) process, using premixed Ti6Al4V-(x wt%) Fe, where x = 0, 3, and 6. By employing a structure-borne AE sensor, we analyze AE data statistically, uncovering notable discrepancies within the 50-750 kHz frequency range. Leveraging Machine Learning (ML) methodologies, we accurately predict composition for particular processing conditions. These fluctuations in AE signals primarily arise from unique microstructural alterations linked to martensitic phase transformation, corroborated by operando synchrotron X-ray diffraction and post-mortem SEM and EBSD analysis. Moreover, cracks are evident at the periphery of the printed parts, stemming from local inadequate heat input during the blending of Ti6Al4V with added Fe powder. These cracks are discerned via AE signals subsequent to the cessation of the laser beam, correlating with the presence of brittle intermetallics at their junction. This study highlights for the first time the potential of AE monitoring in reliably detecting footprints of martensitic transformations during the LPBF process. Additionally, AE is shown to prove valuable for assessing crack formations, particularly in scenarios involving premixed powders and necessitating precise selection of processing parameters, notably at part edges.</p>
Dataset of the publication: Influence of Fe-clustering on the water oxidation performance of two-dimensional layered double hydroxides
<p>Dataset of the publication: Influence of Fe-clustering on the water oxidation performance of two-dimensional layered double hydroxides</p> <p>DOI: 10.1039/d1dt03737d</p> <p>Seijas-Da Silva, A; Oestreicher, V; Coronado, E; Abellán, G</p> <p>Dalton Trans., 2022,51, 4675-4684</p> <p> </p>
Dataset of the publication: Unlocking room-temperature bistable spin transition at the nanoscale: the synthesis of core@shell [Fe(NH2trz)3(NO3)2]@SiO2 nanoparticles
<p>Dataset of the publication: Unlocking room-temperature bistable spin transition at the nanoscale: the synthesis of core@shell [Fe(NH2trz)3(NO3)2]@SiO2 nanoparticles</p> <p>DOI: 10.1039/d4dt00911h</p> <p>A. Regueiro, M. Marti-Carrascosa, R. Torres-Cavanillas, E. Coronado </p> <p>Dalton Trans., 53, 20, 8764-8771 (2024)</p>
Fe-bearing magnesium silicate glasses for potential supplementary cementitious applications
<p>The enclosed raw data files include various formats from multiple characterization techniques, covering XPS, BET SSA, XRF, SEM-EDS, ICP, FTIR, XRD, PSD, DSC-TG, TEM-EDS, and Mössbauer analyses. The formats and file details are as follows:</p> <ul> <li>XPS: Provided in .VGD format.</li> <li>BET SSA: Available in .xls and .xps formats.</li> <li>XRF: Data provided in .xlsx format, with filenames containing 'XRF'.</li> <li>SEM-EDS: Reports included in .xlsx format.</li> <li>ICP: Data listed in .pdf format, with filenames including the date and project information.</li> <li>FTIR: Raw data included in .dpt files.</li> <li>XRD: Data provided in .raw and .xrdml formats.</li> <li>PSD: Included in .pdf and .xlsx files, with filenames containing 'PSD'. </li> <li>DSC-TG: Data available in .xls files, with filenames indicating 'DSC_TG'.</li> <li>TEM-EDS: Elemental maps provided in .jpg and .bmp formats.</li> <li>Mössbauer: Raw data provided in .plt files.</li> </ul> <p>Please note that the percentages in the sample names do not correspond directly to the final sample codes (e.g., 25% does not equate to the final G25 sample). This discrepancy has been corrected based on the XRF results. For clarity, refer to the file 'Chuqing Jiang Fe-Mg-Si XRF 04-04-2023 - raw data and calculation.xlsx', which includes detailed renaming of the samples.</p>
The data for new theoretical Fe II templates for bright quasars
<p>The compressed <strong>'.tar.gz' </strong>files contain new theoretical Fe II templates that can be used for fitting UV to near-IR (1000-10000 Angstrom) spectra of quasars. The templates were developed using the latest Fe II atomic database of <a href="http://doi.org/10.1093/mnras/sty3198">Smyth et al. (2019)</a> within the CLOUDY C23.0 photoionization code with the following set of parameters.</p> <ul> <li>H-ionizing photons flux: <strong>17 ≤ log ΦH (cm−2 s−1) ≤ 22</strong>, and</li> <li>Gas density: <strong>9≤ log nH (cm−3) ≤ 14, </strong></li> <li>Step size: <strong>0.25 </strong>on log scale.</li> <li>A fixed Hydrogen column density: <strong>10^24 cm−2 </strong></li> <li>Abundance: <strong>solar </strong></li> <li>SED shapes:</li> </ul> <p>(1) Standard "<strong>agn.sed</strong>", a continuum similar to <a href="https://ui.adsabs.harvard.edu/abs/1987ApJ...323..456M/abstract/">Mathews & Ferland (1987)</a></p> <p>(2) Intermediate SED of (<a href="https://ui.adsabs.harvard.edu/abs/2012MNRAS.425..907J/abstract/">Jin et al., 2012</a>) </p> <ul> <li>The Fe II template is available for the microturbulence values 0, 20, 50 and 100 km/s.</li> </ul> <p><strong>(Note: The Fe II templates are also available in the GitHub link: </strong><strong>https://github.com/Ashwani-88/Fe2_template)</strong></p> <p>Each <strong>tar.gz</strong> file consists of Fe II templates for different SED shapes. <br><br>For each SED shape;</p> <p>The new Fe II templates are available in the directory "Templates_including_only_total_Fe2". </p> <p>Additionally, we provide templates for the outward and inward Fe II emissions in the directory "Templates_including_outward_Fe2"</p> <p>The directory for Fe II templates for a microturbulence velocity is named as</p> <p>turb_v<em><strong>n</strong></em></p> <p>where<em> <strong>n</strong></em> is the microturbulence velocity in km/s. <br><br>The files within each directory are named as follows:</p> <p><br>phi<em><strong>a</strong></em>_nH<em><strong>b</strong></em>_m<em><strong>c</strong></em>.dat</p> <p>where <strong><em> a</em></strong> = log value of the H-ionizing photon flux in cm−2 s−1,<br><em><strong>b</strong></em> = log value of the Hydrogen gas density in cm−3, and<br><em><strong>c</strong></em> = the value of microturbulence in km/s.</p> <h2><strong>Each template file in ``Templates_including_only_total_Fe2'' has two columns </strong> </h2> <p> <br>First column: wavelength in Angstrom with 2 Angstrom binning <br>Second column: Fe II line intensity (in erg cm-2 s-1 A-1)</p> <h2>Templates in ``Templates_including_outward_Fe2'' has four columns.</h2> <p><br>First column: wavelength in Angstrom with 1000 logarithmic bins, each ~ 584 km/s wide, between 1000 and 7000 Angstrom. <br>Second column: Total Fe II line intensity (in erg cm-2 s-1 A-1) <br>Third column: Inward Fe II line intensity (in erg cm-2 s-1 A-1) <br>Fourth column: Outward Fe II line intensity (in erg cm-2 s-1 A-1) </p> <p>The Fe II line intensity includes a covering factor of 30 % and is scaled for our test object RM 102. </p> <p> </p>
Raw Data of "Selective laser melting of a Fe-Si-Cr-B-C-based complex-shaped amorphous soft-magnetic electric motor rotor with record dimensions"
<p>This data set includes the RAW DATA of the publication. ABSTRACT: A record large amorphous rotor bearing an intricate 3D-geometry is produced through additive manufacturing via selecting laser melting using a powder of a traditional bulk metallic glass-forming composition of the Fe-Si-Cr-B-C system. Not only does this technique overcome the technical limitations characteristic of casting processes for amorphous alloys, but the possibility to print complex 3D geometries is expected to greatly facilitate the channeling of the magnetic flux, when such component is used as a rotor in an electric machine. The as-built part is characterized in comparison to the powder material as well as as-spun ribbons using a wide range of complementary techniques, including synchrotron x-ray diffraction, calorimetry, electron microscopy as well as room temperature ferromagnetic and hardness testing. The built part has extraordinarily high values of hardness (877 HV) and remarkable high magnetic susceptibility (9.17). This latter feature leads to a better magnetic response in the presence of an external magnetic field evidenced by a faster approach to saturation. The coercivity is small (0.51 kA/M) and the magnetic saturation relatively high (1.29 T). In addition, a large anisotropic effect on the magnetization reaction in connection with the partial crystallization in the melt pool areas is investigated experimentally.</p>
Processed Data of "Selective laser melting of a Fe-Si-Cr-B-C-based complex-shaped amorphous soft-magnetic electric motor rotor with record dimensions"
<p>This data set includes the processed data of the pubblication. ABSTRACT: A record large amorphous rotor bearing an intricate 3D-geometry is produced through additive manufacturing via selecting laser melting using a powder of a traditional bulk metallic glass-forming composition of the Fe-Si-Cr-B-C system. Not only does this technique overcome the technical limitations characteristic of casting processes for amorphous alloys, but the possibility to print complex 3D geometries is expected to greatly facilitate the channeling of the magnetic flux, when such component is used as a rotor in an electric machine. The as-built part is characterized in comparison to the powder material as well as as-spun ribbons using a wide range of complementary techniques, including synchrotron x-ray diffraction, calorimetry, electron microscopy as well as room temperature ferromagnetic and hardness testing. The built part has extraordinarily high values of hardness (877 HV) and remarkable high magnetic susceptibility (9.17). This latter feature leads to a better magnetic response in the presence of an external magnetic field evidenced by a faster approach to saturation. The coercivity is small (0.51 kA/M) and the magnetic saturation relatively high (1.29 T). In addition, a large anisotropic effect on the magnetization reaction in connection with the partial crystallization in the melt pool areas is investigated experimentally.</p>
Quantum stochastic resonance of individual Fe atoms. Open data sets.
<p>Data sets for publication:</p> <p><strong>Quantum Stochastic Resonance of individual Fe atoms</strong><br> Max Hänze, Gregory McMurtrie, Susanne Baumann, Luigi Malavolti, Susan N. Coppersmith, Sebastian Loth</p>
SLAC/MEC LJ55 experiment on hcp-Fe plasticity under shock compression
<p>Raw data for experiment LJ55 at SLAC/MEC on hcp-Fe strength and plasticity: X-ray diffraction data and X-ray beam energies.</p> <p>Corresponding publication is published in <em>Physical Review Letters</em>: S. Merkel, S. Hok, C. Bolme, D. Rittman, K. J. Ramos, B. Morrow, H. J. Lee, B. Nagler, E. Galtier, E. Granados, A. Hashim, W. L. Mao, and A. E. Gleason, Femtosecond Visualization of hcp-Iron Strength and Plasticity under Shock Compression, <em>Physical Review Letters</em>, 127, 205501 (2021), [doi: <a href="http://dx.doi.org/10.1103/PhysRevLett.127.205501">10.1103/PhysRevLett.127.205501</a>]</p>
Impact of water on the solubility of Si in Fe alloys_data sets
<p>Original data for the manuscript "Possible formation of hydrogen-rich layer in the topmost outer core by deeply subducted water".</p> <p>All relevant data in the manuscript and supplementary information will be uploaded.</p> <p>Codes in the manuscript are available at https://zenodo.org/record/6383354#.Yj3lZedBwuX.</p>
WACCM-X Fe ions
<p>This is the hourly WACCM-X Fe+ profile in Feb/July at 65-505km sampled over 80S/80N used for Christon et al. paper entitled "Measurement of ~180 keV Fe+ in the Ring Current/Plasmasphere Boundary".</p> <p> </p> <p>For the WACCM-X (version 2_1_3) with three metals (Fe, Na, Mg), please cite:<br> Wu, J., Feng, W., Liu, H.-L., Xue, X., Marsh, D. R., and Plane, J. M. C.:<br> Self-consistent global transport of metallic ions with WACCM-X, Atmos. Chem. Phys., 21,<br> 15619-15630, https://doi.org/10.5194/acp-21-15619-2021, 2021.</p>
ScienceDex guides
Understand access before you commit
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.