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816 results for “Spleen”
Iterative Bleaching Extends multi-pleXity (IBEX) imaging method, mouse spleen
<p>This dataset was acquired using the Iterative Bleaching Extends multi-pleXity (IBEX) imaging method described in: “IBEX: A versatile multi-plex optical imaging approach for deep phenotyping and spatial analysis of cells in complex tissues“, A. Radtke et al., 2020, <a href="https://doi.org/10.1073/pnas.2018488117">doi:10.1073/pnas.2018488117</a>.</p> <p>It is comprised of a three cycle IBEX experiment performed on mouse spleen sections labeled with the nuclear marker JOJO-1 and membrane label CD4 AF594. Images were acquired using an inverted Leica TCS SP8 X confocal microscope equipped with a 40X objective (NA 1.3), 4 HyD and 1 PMT detectors, a white light laser that produces a continuous spectral output between 470 and 670 nm as well as 405, 685, and 730 nm lasers. All images were captured at an 8-bit depth, with a line average of 3, and 1024x1024 format with the following pixel dimensions: x (0.284 mm), y (0.284 mm), and z (1 mm). Images were tiled and merged using the LAS X Navigator software (LAS X 3.5.5.19976).</p> <p> </p> <p>Markers per channel in each of the three cycles:</p> <ol> <li>spleen_panel1.nrrd (6 channels): B220 PE, CD8 BV421, IgD AF700, CD4 AF594, JOJO, Foxp3 eF660</li> <li> <p>spleen_panel2.nrrd (7 channels): CD169 PE, F480 BV421, MHCII AF700, CollIV AF488, JOJO, CD11c AF647, CD4 AF594</p> </li> <li> <p>spleen_panel3.nrrd (7 channels): CD31 PE, CD68 BV421, Ki67 AF700, CD45 AF488, CD4 AF594, JOJO, CD3 AF647</p> </li> </ol> <p>The panels can be registered using the code available on github: <a href="https://github.com/niaid/sitk-ibex">https://github.com/niaid/sitk-ibex</a></p> <p>To view these multi-channel images, in <a href="http://teem.sourceforge.net/nrrd/format.html">nrrd format</a>, use the <a href="https://imagej.net/Fiji">Fiji viewer</a>. The data is stored in XYZC order.</p>
SPLEEN - High Speed Turbine Cascade – Test Case Database - PIV Measurements
<p>This is an open-access database of Particle Image Velocimetry (PIV) measurements of the flow in the <strong>high-speed low-pressure turbine cascade SPLEEN C1</strong>. </p><p>This database complements aerodynamics measurements reported in the database "SPLEEN - High Speed Turbine Cascade – Test Case Database" which can be found at <a href="https://zenodo.org/doi/10.5281/zenodo.7264761">10.5281/zenodo.7264761</a>. </p><p>The data have been collected at the <strong>von Karman Institute for Fluid Dynamics</strong> during 2022 within the H2020 Clean Sky 2 project <strong>SPLEEN </strong>– Secondary and Leakage Flow Effects in High-Speed Low-Pressure Turbines.</p><p>This database contains documents that describe the experimental setup, instrumentation, measurement uncertainties, geometries, and the dataset structure related to the SPLEEN C1 PIV measurements.</p><p>The database contains experimental data of the test campaign conducted on the linear cascade codenamed SPLEEN C1 in the VKI high-speed wind tunnel S1/C.</p><p>PIV measurements were performed on the upstream blade-to-blade plane at cascade midspan, passage blade-to-blade plane at cascade midspan, and on a cascade outlet axial plane located 50% of the airfoil axial chord downstream the cascade trailing edge, near the cascade endwall (0-18% of the cascade span).</p><p>The turbine cascade geometry is representative of designs of high-speed low-pressure turbines for next-generation geared turbofan engines.</p><p>The measurement datasets describe the flow through the turbine cascade tested at on- and off-design conditions (cascade exit Reynolds and Mach numbers), with and without a turbulence grid located upstream of the cascade. The database includes measurements of flow velocity, flow angles, Mach numbers, and turbulence quantities.</p><p>The PIV measurements were performed on the <strong>SPLEEN C1 turbine cascade</strong> equipped <strong>WITH a REFERENCE CAVITY ENDWALL</strong> (Cavity Aref), <strong>WITHOUT WAKE GENERATOR</strong> (steady inlet flow), <strong>WITH and WITHOUT TURBULENCE GRID</strong> (different inlet turbulence level).</p><p>The project has received Funding from the Clean Sky 2 Joint Undertaking under the European Union's Horizon 2020 research and innovation program under the grant agreement 820883.</p>
Capillary networks and follicular marginal zones in the human spleen. Three-dimensional models based on immunostained serial sections - Supplementary videos
<p>We regard ROIs, regions of interest, from a human spleen specimen in single (four ROIs) and double (three ROIs) staining. The ROIs with the same number correspond to each other. Below we map references in manuscript (<strong>bold</strong>) to file names in this repository (<em>italics</em>).</p> <ul> <li>File <em>colour-deconvolution.png</em> – settings of colour deconvolution in Fiji for double staining.</li> <li>File <em>comments to videos.odt</em> – a commentary to S3[c,d] Video.</li> <li><strong>S1a,b Video to S3a,b Video</strong>: files <em>video_[1,2,3][a,b].mov</em> – sequence of section with single (a) and double (b) staining for ROI 1 to 3 in the main text.</li> <li><strong>S1c Video to S3c Video</strong>: files <em>video_[1,2,3]c.mov</em> – video of the reconstruction, single staining, special blood vessels highlighted.</li> <li><strong>S1d Video to S4d Video</strong>: files <em>video_[1,2,3]d.mov</em> – an overview video of the reconstruction, double staining.</li> <li><strong>S4 Video</strong>: file <em>video_4.mov</em> – quality control in virtual reality.</li> <li><strong>S1 Figure</strong>: a supplementary figure <em>fig_S1.tiff</em> and its caption <em>fig_S1_legend.odt</em></li> <li><strong>S2 Figure</strong>: a supplementary figure <em>fig_S2.tiff</em> and its caption <em>fig_S2_legend.odt</em></li> </ul> <p>This data corresponds to the publication "Capillary networks and follicular marginal zones in the human spleen. Three-dimensional models based on immunostained serial sections" by B. S. Steiniger, C. Ulrich, M. Berthold, M. Guthe, and O. Lobachev, 2017.</p>
SPLEEN - High Speed Turbine Cascade – Test Case Database
<p>This is an open-access database of experimental data of the flow in a <strong>high-speed low-pressure turbine cascade</strong>. The data have been collected at the <strong>von Karman Institute for Fluid Dynamics</strong> in the period 2018-2022 within the H2020 Clean Sky 2 project <strong>SPLEEN</strong> – Secondary and Leakage Flow Effects in High-Speed Low-Pressure Turbines, a project in collaboration with Safran Aircraft Engines.</p> <p>This version contains documents that describe the experimental setup, instrumentation, measurement uncertainties, geometries, and database structure.</p> <p>The database contains experimental data of the test campaign conducted on the linear cascade codenamed SPLEEN C1 in the VKI high-speed wind tunnel S1/C.</p> <p>The turbine cascade geometry is representative of designs of high-speed low-pressure turbines for next-generation geared turbofan engines.</p> <p>The measurement datasets describe the <strong>flow through the turbine cascade tested at on- and off-design conditions</strong>, with and without a wake generator located upstream of the cascade, and with and without endwall cavity injection. The database includes measurements of pressure, temperature, flow angles, Mach numbers, pressure loss, unsteady blade and endwall pressure and quasi-shear-stress.</p> <p>The database includes measurement datasets performed on the turbine cascade <strong>WITH a FLAT ENDWALL </strong>(no cavity)<strong> WITHOUT WAKE GENERATOR (</strong>Steady inlet flow)<strong>, WITH a FLAT ENDWALL </strong>(no cavity) <strong>AND WAKE GENERATOR</strong> (unsteady inlet flow)<strong>, WITH ENDWALL CAVITY</strong> (purged cavity) <strong>AND WAKE GENERATOR</strong> (unsteady inlet flow)<strong>.</strong></p> <p>The project has received Funding from the Clean Sky 2 Joint Undertaking under the European Union's Horizon 2020 research and innovation program under the grant agreement 820883.</p>
Clonally resolved spatial transcriptomics data of mouse spleen
<p>The BGI Stereo-seq strategy was applied to a mouse spleen sample containing SPLINTR barcoded AML cells.</p> <p>Data generated with <a href="https://github.com/DaneVass/bartools_manuscript_code/blob/main/spatial-analysis/data_preprocessing_m4_paper.py" target="_blank" rel="noopener">https://github.com/DaneVass/bartools_manuscript_code/blob/main/spatial-analysis/data_preprocessing_m4_paper.py</a>.</p> <p>mouse4_bin*_bc_counts.tsv:<br>Binned barcode counts across whole slide.<br>Can be merged with AnnData file by `cell_id`.<br>Contains all barcodes detected in a bin (`barcode`) and UMI counts summed by bin (`count_binned`).<br>`isin_adata` marks whether the bin is on the manually segmented tissue section.</p> <p>mouse4_bin*_bc_counts_top1.tsv:<br>Binned barcode counts on tissue section, barcode with most UMI per bin is selected. </p> <p>mouse4_bin*_bc.h5ad:<br>Binned stereo-seq data with barcode information.</p> <p>mouse4_bin*_bc_clustered.h5ad:<br>Filtered, log1p transformed, scaled, clustered stereo-seq data.<br>Data is not zero centered for bin10 for memory efficiency.</p>
Figs 3A–F in Rat spleen in the course of Babesia submicroscopic studies microti invasion: histological and
Figs 3A–F. Splenic white pulp of rats with 21-day (A, arrows show empty spaces in nuclear membrane) and 6-month B. microti invasion (B). Swellings in rat spleen with 21-day B. microti invasion (C). Invaded erythrocytes in sinus blood vessels in rat spleen with 21-day parasitemia (D). Vacuole in macrophage of the rat spleen with 6-month B. microti invasion (E). Macrophage in red pulp of the rat spleen with 6-month B. microti invasion (F). Preparations imaging with the use of transmission electron microscopy (TEM). Abbreviations: Bm – Babesia microti merozoites, Er – erythrocytes, Hem – hemosiderin, Mf – macrophage containing digested fragments of erythrocytes and heterophagical vacuoles – HV, Tr – thrombocytes, V – vacuole containing fibrous remnants of cytoskeleton.
Figs 1A–E in Rat spleen in the course of Babesia submicroscopic studies microti invasion: histological and
Figs 1A–E. The peripheral blood smear of control rats (A) rats with 21-day B. microti invasion (B) and rats with 6-month B. microti invasion (C) (black arrows – B. microti merozoites). Preparations were stained with MGG method. The surface observations of erythrocytes invaded with B. microti showed the presence of characteristic, elongated structures under the cell membrane (D, E). Imaging in AFM. Abbreviation: Lf – lymphocyte.
Data from: Comparison of spleen transcriptomes of two wild rodent species reveals differences in the immune response against Borrelia afzelii
<p>Different host species often differ considerably in susceptibility to a given pathogen, but the causes of such differences are rarely known. The natural hosts of the tick-transmitted bacterium <i>Borrelia afzelii</i>, which is one of causative agents of Lyme borreliosis in humans, include a variety of small mammals like voles and mice. Previous studies have shown that <i>B. afzelii-</i>infected bank voles (<i>Myodes glareolus</i>) have about ten times higher bacterial load than infected yellow-necked mice (<i>Apodemus flavicollis</i>), indicating that these two species differ in resistance. In this study, we compared the immune response to <i>B. afzelii </i>infection in these host species by using RNA-sequencing to quantify gene expression in spleen. Gene set enrichment analysis (GSEA) showed that several immune pathways were down-regulated in infected animals in both bank voles and yellow-necked mice. Moreover, IFNα response was up-regulated in <i>B. afzelii</i>-infected yellow-necked mice, while IL6 signaling and the complement pathway were down-regulated in infected bank voles; differences in regulation of these three pathways between bank voles and yellow-necked mice could thus contribute to the difference in resistance to <i>B. afzelii</i> between the species. This study provides knowledge of gene expression induced by a zoonotic pathogen in its natural host, and possible species-specific regulation of immune responses associated with resistance.</p>
moFluMemB - Dataset : scRNA-seq from Lymph node, Spleen and Lung
<p><strong>Title</strong></p> <p>Viral infection engenders bona fide and bystander subsets of lung-resident memory B cells through a permissive mechanism<br><br><strong>Authors</strong><br>Claude Gregoire,1 Lionel Spinelli,1 Sergio Villazala-Merino,1 Laurine Gil,1 María Pía Holgado,1 Myriam Moussa,1 Chuang Dong,1 Ana Zarubica,2 Mathieu Fallet,1 Jean-Marc Navarro,1 Bernard Malissen,1,2 Pierre Milpied,1,* and Mauro Gaya1,*<br><br><strong>Affiliations</strong><br>1 Centre d'Immunologie de Marseille-Luminy (CIML), Aix Marseille Université, INSERM, CNRS, Marseille, France<br>2 Centre d'Immunophénomique (CIPHE), Aix Marseille Université, INSERM, CNRS, Marseille, France<br>* Correspondence: milpied@ciml.univ-mrs.fr (P.M.), gaya@ciml.univ-mrs.fr (M.G.)<br><br><strong>Summary</strong><br>Lung-resident memory B cells (MBCs) provide localized protection against reinfection in the respiratory airways. Currently, the biology of these cells remains largely unexplored. Here, we combined influenza and SARS-CoV-2 infection with fluorescent-reporter mice to identify MBCs regardless of antigen specificity. We found that two main transcriptionally distinct subsets of MBCs colonized the lung peribronchial niche after infection. These subsets arose from different progenitors and were both class-switched, somatically mutated and intrinsically biased in their differentiation fate towards plasma cells. Combined analysis of antigen-specificity and B cell receptor repertoire segregated these subsets into “bona fide” virus-specific MBCs and “bystander” MBCs with no apparent specificity for eliciting viruses and generated through an alternative permissive mechanism. Thus, diverse transcriptional programs in MBCs are not linked to specific effector fates but rather to divergent strategies of the immune system to simultaneously provide rapid protection from reinfection while diversifying the initial B cell repertoire.</p> <p><strong>Data</strong></p> <ul> <li>custom_201216_m_moFluMemB_processedData.tar.gz : pre-processed data of FB5P-seq protocol (Attaf et al., 2020) on memory B cells sorted from single-cell suspensions of lungs with enzymatic digestion of lung tissue at 37°C, with index sorting information for a panel of antibodies identifying subsets of memory B cells.</li> <li>moFluMemB_DockerImages.tar.gz: Docker images used by the analysis</li> <li>moFluMemB_SingularityImages.tar.gz: Singularity images used by the analysis (conversion of the docker images)<br> </li> </ul> <p>See the three other Zenodo deposit for the rest of the data:</p> <p><strong>10.5281/zenodo.5565863</strong></p> <p><strong>10.5281/zenodo.5564624</strong></p> <p><strong>10.5281/zenodo.10559312</strong></p>
moFluMemB - Dataset : scRNA-seq from Lymph node, Spleen and Lung - 10x_191105_m_moFluMemB
<p><strong>Title</strong></p> <p>Viral infection engenders bona fide and bystander subsets of lung-resident memory B cells through a permissive mechanism<br><br><strong>Authors</strong><br>Claude Gregoire,1 Lionel Spinelli,1 Sergio Villazala-Merino,1 Laurine Gil,1 María Pía Holgado,1 Myriam Moussa,1 Chuang Dong,1 Ana Zarubica,2 Mathieu Fallet,1 Jean-Marc Navarro,1 Bernard Malissen,1,2 Pierre Milpied,1,* and Mauro Gaya1,*<br><br><strong>Affiliations</strong><br>1 Centre d'Immunologie de Marseille-Luminy (CIML), Aix Marseille Université, INSERM, CNRS, Marseille, France<br>2 Centre d'Immunophénomique (CIPHE), Aix Marseille Université, INSERM, CNRS, Marseille, France<br>* Correspondence: milpied@ciml.univ-mrs.fr (P.M.), gaya@ciml.univ-mrs.fr (M.G.)<br><br><strong>Summary</strong><br>Lung-resident memory B cells (MBCs) provide localized protection against reinfection in the respiratory airways. Currently, the biology of these cells remains largely unexplored. Here, we combined influenza and SARS-CoV-2 infection with fluorescent-reporter mice to identify MBCs regardless of antigen specificity. We found that two main transcriptionally distinct subsets of MBCs colonized the lung peribronchial niche after infection. These subsets arose from different progenitors and were both class-switched, somatically mutated and intrinsically biased in their differentiation fate towards plasma cells. Combined analysis of antigen-specificity and B cell receptor repertoire segregated these subsets into “bona fide” virus-specific MBCs and “bystander” MBCs with no apparent specificity for eliciting viruses and generated through an alternative permissive mechanism. Thus, diverse transcriptional programs in MBCs are not linked to specific effector fates but rather to divergent strategies of the immune system to simultaneously provide rapid protection from reinfection while diversifying the initial B cell repertoire.</p> <p><strong>Data:</strong> 10x_191105_m_moFluMemB_processedData.tar.gz : pre-processed data of 10x 5’ scRNA-Seq on memory B cells sorted from single-cell suspensions of spleen, lymph nodes and lungs with mechanical dissociation of lung tissue at 4°C.</p> <p>See the three other Zenodo deposit for the rest of the data:</p> <p><strong>10.5281/zenodo.5566674</strong></p> <p><strong>10.5281/zenodo.5564624</strong></p> <p><strong>10.5281/zenodo.10559312</strong></p>
moFluMemB - Dataset : scRNA-seq from Lymph node, Spleen and Lung - 10x_190712_m_moFluMemB
<p><strong>Title</strong></p> <p>Viral infection engenders bona fide and bystander subsets of lung-resident memory B cells through a permissive mechanism<br><br><strong>Authors</strong><br>Claude Gregoire,1 Lionel Spinelli,1 Sergio Villazala-Merino,1 Laurine Gil,1 María Pía Holgado,1 Myriam Moussa,1 Chuang Dong,1 Ana Zarubica,2 Mathieu Fallet,1 Jean-Marc Navarro,1 Bernard Malissen,1,2 Pierre Milpied,1,* and Mauro Gaya1,*<br><br><strong>Affiliations</strong><br>1 Centre d'Immunologie de Marseille-Luminy (CIML), Aix Marseille Université, INSERM, CNRS, Marseille, France<br>2 Centre d'Immunophénomique (CIPHE), Aix Marseille Université, INSERM, CNRS, Marseille, France<br>* Correspondence: milpied@ciml.univ-mrs.fr (P.M.), gaya@ciml.univ-mrs.fr (M.G.)<br><br><strong>Summary</strong><br>Lung-resident memory B cells (MBCs) provide localized protection against reinfection in the respiratory airways. Currently, the biology of these cells remains largely unexplored. Here, we combined influenza and SARS-CoV-2 infection with fluorescent-reporter mice to identify MBCs regardless of antigen specificity. We found that two main transcriptionally distinct subsets of MBCs colonized the lung peribronchial niche after infection. These subsets arose from different progenitors and were both class-switched, somatically mutated and intrinsically biased in their differentiation fate towards plasma cells. Combined analysis of antigen-specificity and B cell receptor repertoire segregated these subsets into “bona fide” virus-specific MBCs and “bystander” MBCs with no apparent specificity for eliciting viruses and generated through an alternative permissive mechanism. Thus, diverse transcriptional programs in MBCs are not linked to specific effector fates but rather to divergent strategies of the immune system to simultaneously provide rapid protection from reinfection while diversifying the initial B cell repertoire.</p> <p><strong>Data: 1</strong>0x_190712_m_moFluMemB_processedData.tar.gz : pre-processed data of 10x 5’ scRNA-Seq on memory B cells sorted from single-cell suspensions of spleen, lymph nodes and lungs with enzymatic digestion of lung tissue at 37°C.</p> <p>See the three other Zenodo deposit for the rest of the data:</p> <p><strong>10.5281/zenodo.5566674</strong></p> <p><strong>10.5281/zenodo.5565863</strong></p> <p><strong>10.5281/zenodo.10559312</strong></p>
Spleen STARmap PLUS dataset of Transient hepatic reconstitution of thymic factors enhances aged immunity
<p>Here is the STARmap PLUS dataset of Spleen section included in "<strong>Transient hepatic reconstitution of thymic factors enhances aged immunity</strong>" from Friedrich et al. </p>
Mass cytometry immunophenotyping data of two-week-old mouse pups' spleens depleted of maternal cells
<div> <div> <div> <p>The maternal cells transferred into the fetus during gestation persist long after birth in the progeny. These maternal cells have been hypothesized to promote the maturation of the fetal immune system in utero but there are still significant gaps in our knowledge of their potential roles after birth. To provide insights into these maternal cells' postnatal functional roles, we set up a transgenic mouse model to specifically eliminate maternal cells in the neonates by diphtheria toxin injection and confirmed significant depletion in the spleens. We then performed immunophenotyping of the spleens of two-week-old pups by mass cytometry to pinpoint the immune profile differences driven by the depletion of maternal cells in early postnatal life. We observed a heightened expression of markers related to activation and maturation in some natural killer and T cell populations. We hypothesize these results to indicate a potential postnatal regulation of lymphocytic responses by maternal cells. Together, our findings highlight an immunological influence of maternal microchimeric cells postnatally, possibly protecting against adverse hypersensitivity reactions of the neonate at a crucial time of new encounters with self and environmental antigens.</p> </div> </div> </div>
Immunohistochemistry of wild type and hjv-/- iron manipulated mouse livers and spleens treated with LPS or Hepcidin
<p><span>The iron hormone hepcidin is transcriptionally activated by iron or inflammation via distinct, partially overlapping pathways. We addressed how iron affects inflammatory hepcidin levels and the ensuing hypoferremic response. Dietary iron overload did not mitigate hepcidin induction in LPS-treated wt mice but prevented effective inflammatory hypoferremia. Likewise, LPS modestly decreased serum iron in hepcidin-deficient Hjv-/- mice, model of hemochromatosis. Synthetic hepcidin triggered hypoferremia in control but not iron-loaded wt animals. Furthermore, it dramatically decreased hepatic and splenic ferroportin in Hjv-/- mice on standard or iron-deficient diet, but only triggered hypoferremia in the latter. Mechanistically, iron antagonized hepcidin responsiveness by inactivating IRPs in the liver and spleen, to stimulate ferroportin mRNA translation. Prolonged LPS treatment eliminating ferroportin mRNA permitted hepcidin-mediated hypoferremia in iron-loaded mice. Thus, de novo ferroportin synthesis is critical determinant of serum iron and finetunes hepcidin-dependent functional outcomes. Our data uncover a crosstalk between hepcidin and IRE/IRP systems that controls tissue ferroportin expression and determines serum iron levels. Moreover, they suggest that hepcidin supplementation therapy is more efficient combined with iron depletion.</span></p>
Mass cytometry immunophenotyping data of two-week-old mouse pups' spleens depleted of maternal cells
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Immunohistochemistry of wild type and hjv-/- iron manipulated mouse livers and spleens treated with LPS or Hepcidin
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Data from: Comparison of spleen transcriptomes of two wild rodent species reveals differences in the immune response against Borrelia afzelii
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Differentially expressed genes in the blood, spleen, and liver of Peromyscus leucopus and Mus musculus with or without treatment with lipopolysaccharide
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SPLOA study spleen ultrasound videos
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Strengthening the Spleen and Reducing Phlegm Method in Improving Radical Resection Rate of Colorectal Cancer
ClinicalTrials.gov study NCT03716063. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
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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)
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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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.