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544 results for “Synapte”
Prediction of synaptic activity
<p>This folder contains supplementary material for the paper <a href="https://doi.org/10.1007/s12021-022-09609-z">An Algorithm Based on a Cable‑Nernst Planck Model Predicting Synaptic Activity throughout the Dendritic Arbor with Micron Specificity</a>:</p> <ul> <li>Experimental data: <ul> <li>fluorescence data</li> <li>morphometric data</li> </ul> </li> <li>A notebook to simulate calcium dynamics in the dentritic arbor using <a href="https://joss.theoj.org/papers/10.21105/joss.04012">sinaps</a> software, and the algorithm to predict synaptic activity in fluorescence data</li> <li>Simulation results</li> </ul> <p> </p>
Raw data for: "Postsynaptic autism spectrum disorder genes and synaptic dysfunction"
<p>Schematic illustration representing postsynaptic proteins associated to ASD. These proteins are involved in different synaptic functions, either directly (ion channels and glutamate receptors), or indirectly, including transmembrane heterophilic (NLGNs) and homophilic (NrCAM) cell-adhesion molecules, and scaffolding proteins (PSD-95, Shank, Homer), that link transmembrane and membrane-associated protein complexes with the underlying actin cytoskeleton. Additional cellular functions may influence synaptic activity in ASD, such as alternative splicing (PTEN, RBFOX1, nSR100/SRRM4), RNA editing (FMR1, FXR1), transcription (FOXP1, FOXP2, TBR1, TSHZ3), translation (FMR1), degradation (UBE3A), and mitochondrial activity (AGC1).</p>
Raw data for: "CalDAG-GEFI mediates striatal cholinergic modulation of dendritic excitability, synaptic plasticity and psychomotor behaviors"
<p>Figure 2. CDGI mediates the M1R modulation of dendritic excitability but not the M1R</p> <p>modulation of somatic excitability.</p> <p>(A and B) Sagittal sections through the brains of CDGI knockout mice in which the direct</p> <p>pathway was visualized (red) in D1-tdTomato mice (A) and the indirect pathway was visualized</p> <p>(green) in D2-GFP mice.</p> <p>(C) Sample somatic voltage changes evoked by 120pA current injections in iSPNs from WT</p> <p>(black) and CDGI-KO (red) before and after bath application of oxo-M (10 µM).</p> <p>(C-D) Current-response curves of iSPNs from WT (B, n=5 cells) and CDGI-KO mice (C, n=7</p> <p>cells). Somatic excitability of iSPNs was similarly enhanced by oxo-M in WT and CDGI-KO.</p> <p>(E) Sample somatic recordings in response to 140pA current injections in dSPNs from WT</p> <p>(black) and CDGI KO (red) before and after bath application of oxo-M (10 µM).</p> <p>(F-H) Current-response curves of dSPNs from WT (E) and CDGI-KO (F) mice (n=4-6).</p> <p>(I) Trains of five EPSPs were evoked by stimulation of glutamatergic afferent fibers at 40 Hz.</p> <p>Oxo-M (10 µM) increased EPSP summation in iSPNs of WT, but not in CDGI-KO or when</p> <p>M1Rs were blocked by M1R antagonist VU0255035 in WT (5 M).</p> <p>(J) Box plot showing the effect of oxoM on synaptic summation. The EPSP5/EPSP1 ratio was</p> <p>increased by oxoM in iSPNs of WT (p = 0.002, Wilcoxon test; n = 10), but not in iSPNs of 27</p> <p>CDGI-KO mice (p = 0.25, n = 9) or in iSPNs of WT mice in the presence of VU0255035 (p =</p> <p>0.69, n = 6).</p> <p>(K) Box plot showing the effect of oxoM on the kinetics of synaptic response. The decay time</p> <p>constant of EPSP5 was significantly increased by oxoM in iSPNs of WT (p = 0.002); but not</p> <p>when CDGI was genetically deleted (p = 0.65) or when M1R was pharmacologically blocked (p</p> <p>= 0.84).</p>
Data Set related to Synaptic inhibition in the lateral habenula shapes reward anticipation.
<p>The lateral habenula (LHb) supports learning processes enabling the prediction of upcoming rewards. While reward-related stimuli decrease the activity of LHb neurons, whether this anchors on synaptic inhibition to guide reward-driven behaviors remains poorly understood. Here, we combine in vivo two-photon calcium imaging with Pavlovian conditioning in mice and report that anticipatory licking emerges along with decreases in cue-evoked calcium signals in individual LHb neurons. In vivo multiunit recordings and pharmacology reveal that the cue-evoked reduction in LHb neuronal firing relies on GABA<sub>A</sub>-receptor activation. In parallel, we observe a postsynaptic potentiation of GABA<sub>A</sub>-receptor-mediated inhibition, but not excitation, onto LHb neurons together with the establishment of anticipatory licking. Finally, strengthening or weakening postsynaptic inhibition with optogenetics and GABA<sub>A</sub>-receptor manipulations enhances or reduces anticipatory licking, respectively. Hence, synaptic inhibition in the LHb shapes reward anticipation.</p>
Data set for "State-dependent cell-type-specific membrane potential dynamics and unitary synaptic inputs in awake mice"
<p>Data set for: Pala A, Petersen CCH (2018) State-dependent cell-type-specific membrane potential dynamics and unitary synaptic inputs in awake mice. eLife 7: e35869. DOI: https://doi.org/10.7554/eLife.35869.</p> <p>There are 12 files in this data upload:</p> <p>1. '2018_Pala_eLife.pdf' - this is a pdf version of the online publication: Pala & Petersen (2018).</p> <p>2. 'data.mat' - this is a Matlab data structure, which contains all the data for the publication.</p> <p>3. 'DataViewer.m' - this is a Matlab code for viewing the data.</p> <p>4. 'DataViewer.fig' - this is a Matlab figure file, which is the GUI layout for 'DataViewer.m'.</p> <p>5. 'PalaPetersen_Plot.m' - this is a Matlab code, which plots the figures for Pala & Petersen (2018).</p> <p>6. 'PalaPetersen_Analysis.m' - this is a Matlab code, which analyses the data for the figures of Pala & Petersen (2018).</p> <p>7. 'blankAPs.m' - this is a Matlab code, which blanks action potentials from the membrane potential trace.</p> <p>8. 'lowpassfilt.m' - this is a Matlab code, which low pass filters the LFP.</p> <p>9. 'medianFiltAPs.m' - this is a Matlab code, which median filters the membrane potential trace to remove action potentials.</p> <p>10. 'remTrialswithAPs.m' - this is a Matlab code, which removes trials with action potentials.</p> <p>11. 'retrieveSegDur.m' - this is a Matlab code, which retrieves chunks of the recording of a given length.</p> <p>12. 'suptitleAP.m' - this is a Matlab code, which puts titles above subplots.</p>
Unique dynamics and exocytosis properties of GABAergic synaptic vesicles revealed by three-dimensional single vesicle tracking
<p>This data set includes x, y, and z trajectories of all GABAergic synaptic vesicles that we used for the study. These GABAergic synaptic vesicles in inhibitory presynaptic terminals of living primary hippocampal neurons were labeled by single quantum dots (QDs) conjugated with anti-VGAT antibody under electrical stimulation, and were tracked three-dimensionally by using a dual-focus imaging in real-time. Each trajectory data indicates x, y, and z positions (nanometer-scale) over time from the start of imaging to the moment of vesicle fusion. The electrical stimulation to the neurons was applied for 120 s, starting from 20 s.</p>
Dataset of "Synaptic function in two-contact devices for neuromorphic circuit applications"
<p><span>This dataset supports the article "Synaptic function in two-contact devices for neuromorphic circuit applications" </span></p> <p> </p> <p><span>Raw data for the article "Synaptic function in two-contact devices for neuromorphic circuit applications". For further details see the Readme.txt file.</span></p>
Heterogeneity of synaptic connectivity in the fly visual system
<p>Source data of the paper Cornean, Molina-Obando et al. 2024, Nature Communications. This work contains an analysis of synaptic connectivity in the Drosophila system, focusing on the presynaptic circuitry of three medulla interneurons, Tm9, Tm1, and Tm2.<br>Synaptic connectivity was analyzed using the FAFB dataset (Zheng et al. 2018 Cell) and the Flywire connectome (Schlegel et al. 2023 bioRxiv, Dorkenwald et al. 2023 bioRxiv), as well as expansion microscopy. This analysis is supplement by some functional analysis using in vivo 2-photon calcium imaging. <br><br>Connectomics data used for this study are provided as .xlsx and .text files containing raw and processed data. <br>Expansion microscopy are uploaded as .tiff files containing raw data, as well as .nrrd and .csv files containing processed data.<br>Calcium imaging data are provided at .mat files containing both raw and processed data, as well as .xml files with information about the experimental protocol.</p><p>Please find all relevant information to use the code in the README files.</p><p>The code to analyze the data, either written in Matlab or Python, is found at https://github.com/silieslab/Cornean_Molina-Obando_etal_2024.git</p>
Native MS dataset for: "Caldendrin and myosin V regulate synaptic spine apparatus localization via ER stabilization in dendritic spines."
<p>Native mass spectrometry dataset used in: <strong>Caldendrin and myosin V regulate synaptic spine apparatus localization via ER stabilization in dendritic spines.</strong> Anja Konietzny, Jasper Grendel, Alan Kadek, Michael Bucher, Yuhao Han, Nathalie Hertrich, Dick H. W. Dekkers, Jeroen A. A. Demmers, Kay Grünewald, Charlotte Uetrecht and Marina Mikhaylova. <i>The EMBO Journal</i> (2021) e106523. doi:<a href="https://doi.org/10.15252/embj.2020106523">10.15252/embj.2020106523</a></p><p> </p><p><strong>Description:</strong></p><p>Native mass spectrometry (MS) analysis of the stoichiometry and ion occupancy of recombinant human calmodulin (CaM) and recombinant rat caldendrin (CaD) complex with synthetic mouse myosinV IQ1 (myoIQ) motif in the presence / absence of excess Ca2+ and Mg2+ ions.</p><p><strong>Sample processing:</strong></p><p>Full-length CaD and CaM as well as the synthetic myoVa peptide were buffer exchanged into 150 mM aqueous ammonium acetate solution (pH 7.4). CaM was twice passed through a Bio-Spin P-6 gel filtration spin column (6 kDa cut-off, <i>Bio-Rad</i>), CaD and the myoVa peptide were buffer exchanged through five cycles of tenfold dilution and re-concentration using centrifugal concentrators Vivaspin 500 (10 kDa cut-off, <i>Sartorius</i>) or Amicon Ultra 0.5mL (3 kDa cut-off, <i>Merck/Millipore</i>), respectively. Desalted proteins were introduced into an Orbitrap Q Exactive UHMR mass spectrometer (<i>Thermo Scientific</i>) via static nanoelectrospray ionization from in-house prepared gold-coated borosilicate glass capillaries Kwik-Fil 1B120F-4 (<i>World Precision Instruments</i>). Proteins were sprayed and analysed at 8.5 µM concentration in ammonium acetate alone or supplemented with 200 µM calcium acetate and 100 µM magnesium acetate (both for trace metal analysis, <i>Sigma-Aldrich</i>). For interaction analysis, CaM and/or caldendrin were mixed with myoVa peptide which had final concentration of 8.5 µM (low concentration) or 34 µM (high concentration). The mass spectrometer was tuned for best signal quality and intensity, keeping ion activation and unfolding minimal. Namely, electrospray voltage was kept at 1.3 kV, source desolvation temperature 250°C, in-source desolvation -50 V, ion transfer profile "high m/z", analyzer profile "low m/z", analyzer target resolution 12500 acquiring in mass range 500 – 9000 m/z. Nitrogen was used as collision gas in HCD cell at relative gas pressure setting 7.0 with gentle collisional activation by 10 V HCD voltage gradient.</p><p><strong>Data processing:</strong></p><p>Raw spectra were averaged over at least 50 scans for mass deconvolution and peak assignment in UniDec 4.4.1 package (<i>Marty et al., 2015</i>). The averaged spectra were exported for ZENODO deposition using <i>Thermo Scientific</i> FreeStyle 1.5.93.34 as single-scan Thermo .raw files (including instrumental parameters metadata) as well as in plain m/z vs intensity .txt files.</p>
SynActJ: Easy-to-use automated analysis of synaptic activity
<p>Neuronal synapses are highly dynamic communication hubs that mediate chemical neurotransmission via the exocytic fusion and subsequent endocytic recycling of neurotransmitter-containing synaptic vesicles (SVs). Functional imaging tools allow for the direct visualization of synaptic activity by detecting action potentials, pre- or postsynaptic calcium influx, SV exo- and endocytosis, and glutamate release. Fluorescent organic dyes or synapse-targeted genetic molecular reporters, such as calcium, voltage or neurotransmitter sensors and synapto-pHluorins reveal synaptic activity by undergoing rapid changes in their fluorescence intensity upon neuronal activity on timescales of milliseconds to seconds, which typically are recorded by fast and sensitive widefield live cell microscopy.</p> <p>The analysis of the resulting time-lapse movies in the past has been performed by either manually picking individual structures, custom scripts that have not been made widely available to the scientific community, or advanced software toolboxes that are complicated to use. For the precise, unbiased and reproducible measurement of synaptic activity, it is key that the research community has access to bio-image analysis tools that are easy-to-apply and allow the automated detection of fluorescent intensity changes in active synapses.</p> <p>Here we present SynActJ (<strong>Syn</strong>aptic <strong>Act</strong>ivity in Image<strong>J</strong>), an easy-to-use fully open-source workflow that enables automated image and data analysis of synaptic activity. The workflow consists of a Fiji plugin performing the automated image analysis of active synapses in time-lapse movies via an interactive seeded watershed segmentation that can be easily adjusted and applied to a dataset in batch mode. The extracted intensity traces of each synaptic bouton are automatically processed, analyzed, and plotted using a R Shiny workflow. We validate the workflow on time-lapse images of stimulated synapses expressing the presynaptic pH reporter Synaptophysin-pHluorin or a synapse-targeted calcium sensor, Synaptophysin-RGECO. We compare the automatic workflow to manual analysis and compute calcium-influx and SV exo-/ endocytosis kinetics and other parameters for synaptic vesicle recycling under different conditions. We predict SynActJ to become an important tool for the analysis of synaptic activity and synapse properties.</p>
Raw data for Facemasks and face recognition: Potential impact on synaptic plasticity
<p>Figure 2 legend Upper panel. In control condition, visual sensory inputs from in- dividual’s face are encoded by the face recognition system. At system level (a), this process implies functional and structural modifications in multiple brain regions, whereas at cellular level (b), this promotes the induction of distinct forms of synaptic plasticity, such as long-term potentiation and long-term depression (LTP, LTD, respectively). Lower panel. Wearing face masks consis- tently reduces the amount of information, by excluding the lower part of the face, including nose and mouth. Thus, both at system and cellular level, such mismatch impairs long-term functional and structural plasticity. In particular, at synaptic level, LTP induction will be favored, whereas LTD will be impaired. The black traces indicate the excitatory postsynaptic potentials in control condition; the red traces represent the long-term changes in synaptic efficacy after the induction protocol.</p>
Raw data for: "Vesicular Acetylcholine Transporter Alters Cholinergic Tone and Synaptic Plasticity in DYT1 Dystonia"
<p>Raw data for Supplemental Figure 2 - Patch-Clamp recordings of ChI firing activity after bath application of donepezil (Donep 50 μM, 5 minutes). The inhibition by donepezil was weaker in Tor1a+/− than in Tor1a+/+ neurons.</p>
BRAIN Journal-Evolving Spiking Neural Networks for Control of Artificial Creatures-Figure 1. Typical neural networks SYNAPTIC
<p>A reservoir network has been used in this paper. This structure has been shown in Figure 1.<br> As is observable this network has two input and output layers. The neuronal network that have been<br> used is composed of N = 150 randomly connected Izhikevich spiking neurons and different axonal<br> conduction delays between each two neurons. Information is transferred between neurons of the<br> networks through the links between every two neurons representing synapses. Each neuron is<br> connected to M = 15 random neurons, so that the probability of connection is M / N = 0.15. It is<br> noticeable that in this network, not only the connection between two neurons is random, but also the<br> neurons type selection is random, too.</p>
Dataset: Synaptics Incorporated (SYNA) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Adenosine deficiency facilitates CA1 synaptic hyperexcitability in the presymptomatic phase of a mouse KI model of Alzheimer disease.
<p><span>All data points, statistical models and raw western blot images from "Adenosine deficiency facilitates CA1 synaptic hyperexcitability in the presymptomatic phase of a mouse KI model of Alzheimer disease" are available. </span></p>
Dataset related to article "Pentraxin 3 regulates synaptic function by inducing AMPA receptor clustering via ECM remodeling and β1-integrin"
<p>This record contains raw data related to article "Pentraxin 3 regulates synaptic function by inducing AMPA receptor clustering via ECM remodeling and β1-integrin"</p> <p>Abstract</p> <p>Control of synapse number and function in the developing central nervous system is critical to the formation of neural circuits. Astrocytes play a key role in this process by releasing factors that promote the formation of excitatory synapses. Astrocyte-secreted thrombospondins (TSPs) induce the formation of structural synapses, which however remain post-synaptically silent, suggesting that completion of early synaptogenesis may require a two-step mechanism. Here, we show that the humoral innate immune molecule Pentraxin 3 (PTX3) is expressed in the developing rodent brain. PTX3 plays a key role in promoting functionally-active CNS synapses, by increasing the surface levels and synaptic clustering of AMPA glutamate receptors. This process involves tumor necrosis factor-induced protein 6 (TSG6), remodeling of the perineuronal network, and a β1-integrin/ERK pathway. Furthermore, PTX3 activity is regulated by TSP1, which directly interacts with the N-terminal region of PTX3. These data unveil a fundamental role of PTX3 in promoting the first wave of synaptogenesis, and show that interplay of TSP1 and PTX3 sets the proper balance between synaptic growth and synapse function in the developing brain.</p> <p> </p>
Dataset related to article "Glia-to-neuron transfer of miRNAs via extracellular vesicles: a new mechanism underlying inflammation-induced synaptic alterations"
<p>This record contains raw data related to article "Glia-to-neuron transfer of miRNAs via extracellular vesicles: a new mechanism underlying inflammation-induced synaptic alterations"</p> <p>Recent evidence indicates synaptic dysfunction as an early mechanism affected in neuroinflammatory diseases, such as multiple sclerosis, which are characterized by chronic microglia activation. However, the mode(s) of action of reactive microglia in causing synaptic defects are not fully understood. In this study, we show that inflammatory microglia produce extracellular vesicles (EVs) which are enriched in a set of miRNAs that regulate the expression of key synaptic proteins. Among them, miR-146a-5p, a microglia-specific miRNA not present in hippocampal neurons, controls the expression of presynaptic synaptotagmin1 (Syt1) and postsynaptic neuroligin1 (Nlg1), an adhesion protein which play a crucial role in dendritic spine formation and synaptic stability. Using a Renilla-based sensor, we provide formal proof that inflammatory EVs transfer their miR-146a-5p cargo to neuron. By western blot and immunofluorescence analysis we show that vesicular miR-146a-5p suppresses Syt1 and Nlg1 expression in receiving neurons. Microglia-to-neuron miR-146a-5p transfer and Syt1 and Nlg1 downregulation do not occur when EV-neuron contact is inhibited by cloaking vesicular phosphatidylserine residues and when neurons are exposed to EVs either depleted of miR-146a-5p, produced by pro-regenerative microglia, or storing inactive miR-146a-5p, produced by cells transfected with an anti-miR-146a-5p. Morphological analysis reveals that prolonged exposure to inflammatory EVs leads to significant decrease in dendritic spine density in hippocampal neurons in vivo and in primary culture, which is rescued in vitro by transfection of a miR-insensitive Nlg1 form. Dendritic spine loss is accompanied by a decrease in the density and strength of excitatory synapses, as indicated by reduced mEPSC frequency and amplitude. These findings link inflammatory microglia and enhanced EV production to loss of excitatory synapses, uncovering a previously unrecognized role for microglia-enriched miRNAs, released in association to EVs, in silencing of key synaptic genes.</p>
Dataset of "Synaptic Response of Fluidic Nanopores: The Connection of Potentiation with Hysteresis"
<p>This dataset supports the article published in <em>ChemPhysChem</em>.</p> <p>"Synaptic Response of Fluidic Nanopores: The Connection of Potentiation with Hysteresis"</p> <p> </p> <p>Raw data for the article "Synaptic Response of Fluidic Nanopores: The Connection of Potentiation with Hysteresis". For further details see the readme.txt file.</p>
Mechanical Measurements of IntI1 Synaptic Complex Stability
<p>These data sets are associated with the publication "<em>The recombination efficiency of the bacterial integron depends on the mechanical stability of the synaptic complex</em>" Preprint available here: https://doi.org/10.1101/2024.04.09.588808</p> <p>Single-molecule force spectroscopy data of various IntI1 variants forming complexes with different attC-stite variants.</p> <p>ZIP files contain h5 data recoreded on a LUMICKS C-Trap device.</p> <ul> <li>IntI1wt.zip contains force spectroscopy data (indivdual h5 traces) of IntI1wt with aadA7bs attC sites</li> <li>IntI1Y312F-Alanine.zip contains force spectroscopy data (indivdual h5 traces) of IntI1Y312F-double Alanine mutant with aadA7bs attC sites</li> <li>IntI1Y312F-mEGFP.zip contains correlative force spectroscopy and confocal imaging data (h5 files) of IntI1Y312F-mEGFP binding and moving on single-stranded DNA</li> <li>IntI1Y312F-Truncated.zip contains force spectroscopy data (indivdual h5 traces) of IntI1Y312F-C-terminal truncation with aadA7bs attC sites</li> <li>IntI1Y312F_aadA7-bs.zip contains force spectroscopy data (indivdual h5 traces) of IntI1Y312F with aadA7bs attC sites</li> <li>IntI1Y312F_aadA7-ts.zip contains force spectroscopy data (indivdual h5 traces) of IntI1Y312F with aadA7ts attC sites</li> <li>IntI1Y312F_aadA7bs-L2.zip contains force spectroscopy data (indivdual h5 traces) of IntI1Y312F with aadA7bs-L2 hybrid attC sites</li> <li>IntI1Y312F_aadA7bs-VCRwt.zip contains force spectroscopy data (indivdual h5 traces) of IntI1Y312F with aadA7bs-VCRwt hybrid attC sites</li> <li>IntI1Y312F_L2.zip contains force spectroscopy data (indivdual h5 traces) of IntI1Y312F with L2 attC sites</li> <li>IntI1Y312F_VCRwt.zip contains force spectroscopy data (indivdual h5 traces) of IntI1Y312F with VCRwt attC sites</li> <li>IntI1Y312F_VCRinv.zip contains force spectroscopy data (indivdual h5 traces) of IntI1Y312F with VCRinv attC sites</li> </ul> <p>README.txt contains information about how to read the individual h5 files with e.g. a Python script.</p>
Silencing of hippocampal synaptic transmission impairs spatial reward search on a head-fixed tactile treadmill task
<p>Publication data</p> <p>This repository contains the raw data files for the following manuscript:</p> <p>Title: Silencing of hippocampal synaptic transmission impairs spatial reward search on a head-fixed tactile treadmill task<br> Authors: Jake T. Jordan and J. Tiago Gonçalves<br> Pre-print in bioRxiv. doi:10.1101/2021.09.03.458092 (2021)</p> <p>A summary of all experimental groups and data tables and included as two Excel (.xlsx) files: DREADDs_Cued.xlsl and DREADDs_Spatial.xlsl, these correspond to figures 2 and 3 of the publication, respectively.</p> <p>The raw data files were acquired as described in Jordan et al. (2021a) doi:10.1016/j.xpro.2021.100770 <br> Software code for data acquisition and interpretation is available at doi:10.5281/zenodo.5196612</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.