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3,067 results for “mg”
Data for "Nano-scale characterisation of sheared β'' precipitates in a deformed Al-Mg-Si alloy"
<p>This dataset contains data used in the publication entitled "<strong>Nano-scale characterisation of sheared β'' precipitates in a deformed Al-Mg-Si alloy</strong>". This publication concerns how β'' precipitates are sheared by dislocations during deformation. The data contained in this repository are data acquired on various transmission electron microscopes of specimens of the aluminium alloy AA6060 in peak aged condition after uniaxial compression to 5%, 10%, and 20%, in addition to the undeformed reference alloy.</p> <p>There are five main types of data:</p> <ul> <li>Transmission electron microscopy (TEM) images</li> <li>High-resolution TEM images</li> <li>High angle annular dark field (HAADF) scanning TEM (STEM) images</li> <li>Scanning precession electron diffraction (SPED) data.</li> <li>Cross-sectional data of precipitates in undeformed and 20% compressed conditions.</li> </ul> <p>Data for the TEM, HRTEM, and STEM images are kept in zipped folders due to the large number of images (several hundreds for each compression condition). Folders are named following the format of "<alloy>_<compression>_<technique>", where technique refers to TEM, HRTEM, or STEM. Images are provided in both .hdf format and .jpg format (to aid in navigating the data). Please see <a href="https://www.hdfgroup.org/">HDF Group</a> for more information regarding the HDF file format, and <a href="https://www.hdfgroup.org/downloads/hdfview/">HDF View</a> for softaware to read and show HDF data. The Python package <a href="http://hyperspy.org/">HyperSpy</a>, is also useful for loading the HDF data for inspection, analysis, and presentation.</p> <p>For some STEM images, a stack of short-exposure STEM images acquired and analysed using the <a href="http://lewysjones.com/software/smart-align/"><em>SmartAlign</em></a> plugin to <a href="http://www.gatan.com/products/tem-analysis/gatan-microscopy-suite-software"><em>Gatan Digital Micrograph</em></a> is available. SmartAlign offers the possibility of rigidly and non-rigidly aligning the STEM images in the stack in order to reduce effect of specimen drift and scan noise during acquisition. The conventional STEM images are found in the zip archive labelled "STEM". When the filenames of the STEM images include "SAstack" and/or "SAimage", a STEM SmartAlign stack or the average through a non-rigidly aligned stack is available of the same field of view. In such cases, both the SmartAlign stack and the through-stack image is provided in the metadata in the .hdf file (note that not all stacks have been aligned, and in such cases no through-stack image is available). In addition, the SmartAlign stacks themselves are available in the subfolder "STEM\SmartAlign\" within each STEM folder. The through-stack images of the smart align stacks are also provided separately in the subfolder "STEM\SmartAlign\Aligned\". For the 20% compressed case, a lowloss electron energy loss spectroscopy (EELS) spectrum and thickness maps of the imaged areas are also provided, in the subfolder "STEM\EELS\".</p> <p>The SPED data, acquired using the <em>ASTAR</em> system of <em><a href="https://www.nanomegas.com/">NanoMegas</a></em>, is provided as .hdf5 files in the root directory of the repository. They should be read using and <a href="https://github.com/pyxem/pyxem">pyXem</a>. The attached Jupyter Notebook "SPED_data_inspection.ipynb" can be used to access the SPED datasets. These datasets are 4D datasets, with two spatial and two reciprocal dimensions. They have been decomposed using the non-negative matrix factorization algorithm (NMF) used in HyperSpy. These decomposition results are included in the .hdf5 files. In addition, parameters used in the preprocessing of the datasets are attached in the metadata in these files. The metadata of these files are also provided separately as .txt files.</p> <p>Finally, measurements of the precipitate cross-sectional area and circularity is available as .csv files with the first column being the row index, the second the cross-sectional areas of precipitates measured in nanometers squared, the third column is the perimeters of the precipitates measured in nanometers, and column four is the <a href="https://imagej.nih.gov/ij/plugins/circularity.html">circularity</a> of the precipitates.</p>
Dataset: Electrolyte-dependent deposition morphology on magnesium metal utilizing MeMgCl, Mg[B(hfip)4]2 and Mg(HMDS)2–2AlCl3 electrolytes
<p>This is a collection featuring the data generated and used within the paper: 'Electrolyte-dependent deposition morphology on magnesium metal utilizing MeMgCl, Mg[B(hfip)4]2 and Mg(HMDS)2–2AlCl3 electrolytes'. The deposition behavior of two state-of-the-art electrolytes, magnesium tetrakis(hexafluoroisopropyloxy)borate (Mg[B(hfip)~4~]~2~) in dimethoxyethane (DME) and magnesium bis(hexamethyldisilazide) with two equivalents of aluminum chloride (Mg(HMDS)~2~-2AlCl~3~) in tetrahydrofuran (THF) was investigated. Using symmetric flooded magnesium-magnesium cells with different electrolyte concentrations and current densities the deposition process was monitored optically in-situ by a video microscope. The depositions were characterized by scanning electron microscopy (SEM) and energy dispersive X-ray spectroscopy (EDX) and compared to depositions from methylmagnesium chloride (MeMgCl) in THF, known for its dendritic growth. In this work, MeMgCl showed unidirectional growth and for the harshest applied conditions, mossy depositions, but no branching dendrites as reported in previous literature. Mg[B(hfip)~4~]~2~ and Mg(HMDS)~2~-2AlCl~3~ did not show the formation of dendrites or a dendrite preform but also did not result in a desired smooth layer but in spherical depositions. For the Mg[B(hfip)~4~]~2~ electrolyte, the influence of magnesium borohydride (Mg(BH~4~)~2~) as an additive was additionally tested resulting in a more planar growth.</p>
Data for a publication "Exploring the microstructure, mechanical properties, and corrosion resistance of innovative bioabsorbable Zn-Mg-(Si) alloys fabricated via powder metallurgy techniques"
<p><span><span>These data are published as part of the paper: “</span><span>Exploring the microst</span><span>ructure, mechanical properties, </span><span>and corrosion resistance of innovative bioabsorbable Zn-Mg-(S</span><span>i) alloys fabricated via powder </span><span>metallurgy techniques</span><span>” published in journal: “</span><span>Journal of Materials Research and Technology</span><span>”.</span></span><span> </span></p>
Dataset for a publication: "A zinc phosphate layered biodegradable Zn-0.8Mg-0.2Sr alloy: Characterization and mechanism of hopeite formation"
<p>These data are published as part of the paper: A zinc phosphate layered biodegradable Zn-0.8Mg-0.2Sr alloy: Characterization and mechanism of hopeite formation. The structure and organization of the data are outlined in the readme file. </p> <p> </p>
Data for "Atomic structure of solute clusters in Al-Zn-Mg alloys"
<p>This dataset contains the data used in the publication entitled "<a href="https://www.sciencedirect.com/science/article/abs/pii/S1359645420310119"><strong>Atomic structure of solute clusters in Al-Zn-Mg alloys</strong></a>", published in Acta Materialia 17. December 2020.</p> <p>The data contained herein are:</p> <ul> <li>As-acquired transmission electron microscopy (TEM) images.</li> <li>Atom probe tomography data.</li> <li>All structural models used in density functional theory (DFT) calculations.</li> <li>Structures used for simulating scanning-TEM (STEM) images and nanobeam diffraction (NBD) patterns.</li> </ul> <p> </p> <p>The TEM images includes high angle annular dark field (HAADF) images and selected area diffraction patterns. These are given in .dm3/.dm4 files, and can be opened in e.g. the "<a href="https://www.gatan.com/products/tem-analysis/gatan-microscopy-suite-software">Gatan Microscopy Suite" </a>software. The images are also given as .tif images. The files are names after the "Figx_alloy_condition_xxx". "Figx" refers to the figure in the main article, "alloy" describes the alloy used and "condition" describes from what ageing condition. The uncorrected image series used for Fig. 6c (in the article) is included and requires the <a href="http://lewysjones.com/software/smart-align/">SmartAlign </a>plugin in the Gatan Microscopy Suite to analyse the dataset. SmartAlign allows for correcting rigid and non-rigid distortions in the STEM images in order to reduce effect of specimen drift and scan noise during acquisition. </p> <p>The ATP data is given as a .xlsx file. The data here is the processed data after applying the maximum separation algorithm. The data here is used to produce Figs. 2b and 2c in the paper. <br> <br> The structures used in the DFT calculations are given here as .cif files. These are separated into "Single_clusters" and "Stacked_clusters" and named according to Tabs. 1 and 2 in the Supplementary material of the paper.</p> <p>The two structures used for simulating STEM-HAADF and NBD patterns are given in the folder "TEM_simulations". "Mg32Zn124D_94x94" was used for NBD and "Mg32Zn124D_X_Zn4" was used for HAADF-STEM. The stack used for Supplementary Fig. 7c is labeled "Mg32Zn124D_94x94_slab_1Allayerop.cif".</p> <p> </p> <p> </p> <p> </p>
Data for paper entitled, "Discontinuous Precipitation in Mg-Al Alloy Studied in 3-Dimensions"
<p>Data for paper entitled, "Discontinuous Precipitation in Mg-Al Alloy Studied in 3-Dimensions" including:</p> <p>-Raw SEM imaging and EBSD data</p> <p>-Processed SEM images</p> <p>-3D slices</p> <p>-Supplementary summary figure</p> <p>-Supplementary video</p>
Single-crystalline Mg tips
<p>This repository contains all input data for simulating the field-evaporation process of specifically<br> oriented single-crystalline APT tips with representing h.c.p. magnesium using TAPSim.</p> <p>Having conducted all simulations, it contains all detector hit information for all ions and each tip.</p> <p>The authors have also personally stored the trajectories of all ions for each tip. However,<br> given the size of these particular additional binary data (approx. 100 - 200GB), they have<br> --- as a compromise --- not yet been uploaded. They are available from the authors for free upon request.</p> <p><br> The individual components of the dataset are as follows, where the * is a placeholder/wildcard.</p> <p>*SX_DetectorHits.zip<br> The simulation results here specifically all detector hit maps for each tip and the input files for tapsim</p> <p>*.cif<br> The Crystallography Open Database file used to define the unit cell</p> <p>*MeshgenInput.tar.gz<br> The compressed txt-based inputfiles for MESHGEN with which the inputfiles for TAPSim<br> for each tip were generated.</p> <p>*TapsimInput.tar.gz<br> the compressed binary inputfiles for TAPSim which specify at which locations<br> the atoms and mesh supporting points are located</p> <p>*BaseAndTip.zip<br> The compressed PNG-renditions of where the tip ions and the base plate supporting points are located.<br> The potential Moire effects apparent in the images are likely related to us reducing the rendering resolution.</p> <p>*Everything.zip<br> The compressed PNG-renditions of where the tip ions, the base plate supporting points, and mesh points are located.</p> <p>*Meta.mat and *PRNG.txt<br> The MATLAB workspace variables which hold the orientation of each tip as a rotation matrix and<br> the seed of the random number generator. The rotation matrix is of active sense premultiplying<br> point position vectors from the VESTA output into their actual locations from which subsequently the tip was carved.<br> A few tip orientations did not run, this was solved by rotating them by an additional 0.5 deg random rotor<br> in space about the projected orientation, the corresponding individual rotation matrices are stored in individual *.mat files<br> with the corresponding tip ID in the filename each</p> <p>*.vesta<br> The Vesta inputfile with which sufficiently sized lattice point clouds were<br> written out to subsequently rotate them and carve into a tip.</p> <p>*DetectorHits.tar.gz<br> The compressed raw data in the default TAPSim format encoding where each<br> ion hit the detector surplus additional pieces of information.</p> <p>*.pl<br> Perl scripts with which to extract runtime profile information from the TAPSim command line output</p> <p>*.sh<br> Shell scripts used to execute the batch queue. Two scripts were used.<br> The first, "run_queue_tapsim_job.sh" $1 $2 fires off independent sequential TAPSIM simulations on existent data<br> The second "run_single_tapsim_job.sh" is called by the first script to fire this of.</p> <p>tapsim_r3225.zip<br> The source code used to execute the simulations</p> <p>The *.tar.gz files in the *.zip archives can be unpacked with the unpack_dataset.sh shell script specifically<br> unpack_dataset.sh $1 $2 with the first argument $1 the start ID and the second argument $2 being the tip end ID to unpack.<br> Modification of the script might be necessary if file name of *.tar.gz archive has been changed...<br> Single *.tar.gz files in general can be most conveniently extracted with a Unix/Linux operating system via for instance the command:<br> tar -xvf nameofthefile.tar.gz<br> On Windows WinRAR can be used for decompression</p>
Figures - Vat photopolymerization of biomimetic bone scaffolds based on Mg, Sr, Zn-substituted hydroxyapatite: Effect of sintering temperature
<p>Figures of publication "<span>Vat photopolymerization of biomimetic bone scaffolds based on Mg, Sr, Zn-substituted hydroxyapatite: Effect of sintering temperature</span>".</p> <p><a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.ceramint.2024.05.038" target="_blank" rel="noreferrer noopener"><span><span>https://doi.org/10.1016/j.ceramint.2024.05.038</span></span></a></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>
Grain-Scale In-situ Study of Discontinuous Precipitation in Mg-Al
<p>Submitted manuscript and data for paper "Grain-Scale In-situ Study of Discontinuous Precipitation in Mg-Al"</p> <p>Files:</p> <p>Manuscript: insitu_dp_pap.pdf</p> <p>Video: Mg DP.mp4</p> <p>Area 1 image stack: Area_10xxx.tif </p> <p>Area 2 image stack: Aligned 752 of 7520xxx.tif</p> <p>Matlab code: boundarytracker.m, concprof_oblate.m (see code for details)</p> <p>Figures and associated data: *.fig (Matlab figure format), *.txt (ASCII text format)</p> <p> </p>
Data for: Processability of Mg-Gd powder via friction extrusion
<p>This dataset contains measurement data, machine logs as well as microstructure and overview images for the publication "Processability of Mg-Gd powder via friction extrusion".</p>
LOPT input files for Mg VII and Si VII
<p>This entry contains input files for the LOPT atomic physics code. The results are described in the article "Updated reference wavelengths for Si VII and Mg VII lines in the 272--281 Angstrom range" by Dr. Peter R. Young (NASA Goddard Space Flight Center) that was submitted to The Astrophysical Journal.</p><p>There are two sub-directories called mg7 and si7 for the two ions. In each there are three input files of the form:</p><p>Mg7_FixLEV_EIS.txt - List of fixed levels in the atomic model.<br>Mg7_lin_EIS.prn - List of wavelengths and uncertainties for the lines of the model.<br>Mg7_lopt_EIS.par - The parameter input file for LOPT</p><p>You will need to install the LOPT code to use these files. See Kramida, A. E. 2011, Computer Physics Communications,236<br>182, 419.</p><p>In each directory you will see two additional files that are the output wavelength and energy files generated by the author.</p><p>Version 1.1: the input/output filenames in the Mg7_lopt_EIS.par were wrong in the previous version. This has been fixed. The input data are the same as before.</p>
Effect of Nd on high temperatures deformation and corrosion behavior of AZE Mg alloy
<p>An extruded AZE Mg alloy (Mg-3Al-1Zn-0.6Nd) has been developed and prepared to examine the effect of the precipitated phase on corrosion and hot deformation behavior. High-temperature compression experiments show that dynamic recrystallization (DRX) occurs at various experimental parameters (473 to 673 K and 1×10<sup>-4</sup> s<sup>-1</sup> to 1×10<sup>-3</sup> s<sup>-1</sup>). The deformation mechanism is dominated by dislocation slip and/or twinning. Al<sub>11</sub>Nd<sub>3</sub> precipitates with two different sizes could impede nucleation and the growth of DRXed grains. Serrated flow occurred owing to the interactions between dislocations and precipitates. The corrosion current density decreases with the addition of Nd elements. Moreover, the continuous precipitation of the Al<sub>11</sub>Nd<sub>3</sub> phase at grain boundaries reduces the corrosion rate in NaCl solution, thereby enhancing the corrosion resistance of AZE alloys.</p>
РИС. 2. Дистальные отделы половой системы особей иЗ смеШанной колонии Monacha claustralis (A–D) и M. cartusiana (E–F). D, F. Вскрытый атриум у двух видов. Условные сокраЩениЯ: at – атриум; atpl – складка внутри атриума; ep – Эпифаллус; fl – бич; mg – слиЗистые желеЗы; pe – пенис; pp – папилла пениса; va – вагина; vap1 – баЗальнаЯ часть вагинального придатка; vap2 – апикальнаЯ часть вагинального придатка; vlb – латеральное выпЯчивание вагины. МасШтаб 1 мм. FIG. 2. Distal parts of the reproductive system of specimens from a mixed colony of Monacha claustralis (A–D) and M. cartusiana (E–F). D, F. Dissected atrium in two species. Abbreviations: at – atrium; atpl – pleat inside the atrium; ep – epiphallus; fl – flagellum; mg – mucus glands; pe – penis; pp – penial papilla; va – vagina; vap1 – basal part of vaginal appendage; vap2 – apical part of vaginal appendage; vlb – lateral bulge of the vagina. Scale bars 1 mm. in Monacha claustralis и M. cartusiana (Gastropoda, Hygromiidae) - два криптических вида антропохорных наЗемных моллюсков на Западе Украины
РИС. 2. Дистальные отделы половой системы особей иЗ смеШанной колонии Monacha claustralis (A–D) и M. cartusiana (E–F). D, F. Вскрытый атриум у двух видов. Условные сокраЩениЯ: at – атриум; atpl – складка внутри атриума; ep – Эпифаллус; fl – бич; mg – слиЗистые желеЗы; pe – пенис; pp – папилла пениса; va – вагина; vap1 – баЗальнаЯ часть вагинального придатка; vap2 – апикальнаЯ часть вагинального придатка; vlb – латеральное выпЯчивание вагины. МасШтаб 1 мм. FIG. 2. Distal parts of the reproductive system of specimens from a mixed colony of Monacha claustralis (A–D) and M. cartusiana (E–F). D, F. Dissected atrium in two species. Abbreviations: at – atrium; atpl – pleat inside the atrium; ep – epiphallus; fl – flagellum; mg – mucus glands; pe – penis; pp – penial papilla; va – vagina; vap1 – basal part of vaginal appendage; vap2 – apical part of vaginal appendage; vlb – lateral bulge of the vagina. Scale bars 1 mm.
Data repository for "Genesis and timing of KREEP-free lunar Mg-suite magmatism indicated by the first norite meteorite Arguin 002"
<p>This is the data repository for paper entitled "Genesis and timing of KREEP-free lunar Mg-suite magmatism indicated by the first norite meteorite Arguin 002". This data repository includes two EXCEL (.xlsx) files representing the dataset necessary to interpret, replicate and build upon the methods or findings reported in the article.</p> <p>Regarding the EXCEL file named "Supplementary Data 1", it incorporates the mineral EPMA compositions (Table S1), mineral trace-element compositions (Table S2), bulk chemistry (Table S3), SIMS U-Pb results (Table S4), and mineral modal abundances and the launch-region identification results (Table S5) in the comprehensive study of the lunar norite meteorite, Arguin 002.</p> <p>Regarding the EXCEL file named "Supplementary Data 2", it incorporates analyses of reference materials in EPMA (Table S1), LA-ICP-MS (Table S2), ICP-MS (Table S3), and SIMS (Table S4).</p>
Analysis of particles size distributions in Mg(OH)2 precipitation from highly concentrated MgCl2 solutions
<p>Magnesium is a raw material of great importance, which attracted increasing interest in the last years. A promising<br> route is to recover magnesium in the form of Magnesium Hydroxide via precipitation from highly concentrated<br> Mg2+ resources, e.g. industrial or natural brines and bitterns. Several production methods and<br> characterization procedures have been presented in the literature reporting a broad variety of Mg(OH)2<br> particle sizes. In the present work, a detailed experimental investigation is aiming to shed light on the<br> characteristics of produced Mg(OH)2 particles and their dependence upon the reacting conditions. To this<br> purpose, two T-shaped mixers were employed to tune and control the degree of homogenization of reactants.<br> Particles were analysed by laser static light scattering with and without an anti-agglomerant treatment based<br> on ultrasounds and addition of a dispersant. Zeta potential measurements were also carried out to further assess<br> Mg(OH)2 suspension stability.</p>
Visualizations for paper entitled, "Discontinuous Precipitation in Mg-Al Alloy Studied in 3-Dimensions
<p>- Author manuscript version of paper entitled, "Discontinuous Precipitation in Mg-Al Alloy Studied in 3-Dimensions".</p> <p>- Visualization for paper entitled, "Discontinuous Precipitation in Mg-Al Alloy Studied in 3-Dimensions". This enables the 3D dataset to be visualized using the free software package Paraview (<a href="https://www.paraview.org">https://www.paraview.org</a>). Instructions are provided.</p> <p>- Animation created of 3D visualization (using Aviso)</p> <p>NOTE: The full set of raw data used to create the results in the paper is available at:</p> <pre><a href="https://doi.org/10.5281/zenodo.7108545">https://doi.org/10.5281/zenodo.7108545</a></pre> <p> </p> <p> </p> <p> </p>
In situ conductometry for studying the homogenization of Al-Mg-Si alloys and predicting extrudate grain structure through machine learning
<p>This dataset includes the <em>in situ</em> impedance and time/temperature data from [1], grain structure data created by extrusion simulation coupled with physically-based microstructural simulation [2], and the predictions of the feed-forward neural network GRAINN-1/2 [1].</p> <p>[1] Österreicher, J. A., Zivanovic, D., Walenta, W., Maimone, S.,Hofbauer, M., Hovden, S., Tükör, Z., Arnoldt, A., Cerny, A. Kronsteiner, A., Antic, M., Zickler, G., Ehmeier, F., Mikulovic, M., Kunschert, G. (2024) . In situ conductometry for studying the homogenization of Al-Mg-Si alloys and predicting extrudate grain structure through machine learning. <em>Materials & Design</em>, 113070.</p> <p>[2] Hovden, S., Kronsteiner, J., Arnoldt, A., Horwatitsch, D., Kunschert, G., & Österreicher, J. A. (2024). Parameter study of extrusion simulation and grain structure prediction for 6xxx alloys with varied Fe content. <em>Materials Today Communications</em>, <em>38</em>, 108128.</p>
Figure 6.Amygdala hypofunction after a single oral 40-mg dose, 1.5-hours post-dose, in young study participants.The image has been adapted from (Hurlemann et al., 2010).-The Brain and Propranolol Pharmacokinetics in the Elderly
<p>In the past decade, there has been much interest in identifying treatment in adding to the<br> current treatment options for war veterans suffering from Post-Traumatic Stress Disorder (PTSD).<br> The studies investigating secondary-preventative measures for PTSD using Propranolol due to the<br> drug’s ability to inhibit the actions of the neurotransmitter norepinephrine,which has been<br> implicated to enhance the consolidation(McGhee et al., 2009; Pitman et al., 2002; Stein et al.,<br> 2007).Further, in a double-blind, placebo-controlled,functional Magnetic Resonance Imaging<br> (fMRI) study, in healthy volunteers, Hurlemann et al. found that a single oral 40mg dose of<br> propranolol attenuatedthe leftbasolateral amygdala responses to the face perception<br> paradigm(Hurlemann et al., 2010). The study participants were eighteen healthy (9 females, 9<br> males; mean age 23 years; age range 19–31 years) who had their fMRI acquisition 1.5-hours after<br> the oral administration of propranolol. An adapted image of the study findings are shown in Figure<br> 6.</p>
Dispersoid Composition in Zirconium Containing Al-Zn-Mg-Cu (AA7010) Aluminium Alloy - Supporting Data
<p>Data related to measured dispersoid compositions and calculated dispersoid volume fractions:</p> <p>Dispersoid Composition in Zirconium Containing Al-Zn-Mg-Cu (AA7010) Aluminium Alloy<br> A.M. Cassell, J. D. Robson, C. P. Race, A. Eggeman, T. Hashimoto, M. Besel.</p> <p>Submitted to Acta Materialia.</p> <p>Datafile of compositions to reproduce Fig.8 in paper (.mat Matlab format)</p> <p>Datafile of predicted dispersoid volume fractions on which calculations were performed to produce Fig. 10 in paper (comment in datafile provides further details)</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.
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.