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342 results for “Electron Microscopy”
Visualization of SARS-CoV-2 particles in naso/oropharyngeal swabs by thin section electron microscopy – data set 06
<p>We developed a sedimentation method using desktop ultracentrifugation (see description below) to visualize SARS-CoV-2 particles in suspensions from oro- and/or nasopharyngeal swabs by thin section electron microscopy. A detailed description of the methods and the data set is provided in the download container.</p> <p>Data set 06 comprises three stitched image montages recorded from an area of a thin section through the sediment obtained from a swab sample which was negative by quantitative PCR (control). Ciliated cells and extracellular material, such as vesicles and needle-like crystals, are visible, but no coronavirus particles.</p> <p>Related publication: Laue M, Hoffmann T, Michel J, Nitsche A. Visualization of SARS-CoV-2 particles in naso/oropharyngeal swabs by thin section electron microscopy. Virol J. 2023 Feb 6;20(1):21. doi: 10.1186/s12985-023-01981-9. PMID: 36747188; PMCID: PMC9901382.</p>
Supplementary material for: Sparse Arrays for Four-Dimensional Scanning Transmission Electron Microscopy
<p>Supplementary material for: Sparse Arrays for Four-Dimensional Scanning Transmission Electron Microscopy</p> <p>The link to the main publication with detailed information will be added later.</p> <p>The three videos show liv eand offline processing with the CheeTah T3, ASI Serval, ASI Accos, LiberTEM and CEOS Panta Rhei. They are also available at https://www.youtube.com/playlist?list=PLZCH_qD2RkB5oFdBc12xcYUcbmWZpJQHh</p> <p>benchmark.ipynb is a Jupyter notebook that was used to test the performance, as reported in the paper.</p> <p>raw_csr.zip is a test dataset recorded on a gold grid in the CSR format that can be opened by LiberTEM</p> <p>benchmark.ipynb is a Jupyter notebook that shows how the test dataset can be opened and processed with common Python packages and with LiberTEM.</p>
Scanning electron microscopy (SEM) images of single bacterial-Pb tolerant isolates
<p><strong>In-Vitro Trace Element Uptake by Bacteria in Liquid Cultures-Scanning Electron Microscopy </strong><strong>(SEM-EDX) Analysis</strong><br>Batch studies were conducted using 50 mL Falcon tubes that contained 25 mL GY rich medium supplemented with 100 mg L-1 of Pb (Pb(NO3)2). All tubes were inoculated with 1 mL of a bacterial cell suspension (optical density at 600 nm = 1), which was previously grown in GY medium at 28 °C for 24 h. Samples were incubated at 28 °C and 100 rpm on an orbital shaker.<br>In order to estimate Pb sequestration by bacterial cells, cultures were first centrifuged 15 min at 4800 rpm, bacterial pellets were washed 3 times with 0.01 M phosphate-buffer (PBS, pH 7.0) to remove unbound metals, sugars and proteins. The samples were dehydrated with ethanol/water mixtures, until absolute ethanol. Then 100% acetone was used. Pellets were resuspended in 2% glutaraldehyde for 1h at room temperature. Afterwards, bacterial samples were centrifuged for 3 min at 3000 rpm and pellets were washed 3 times with milli-Q water. One uL of sample was placed on a sample holder, in carbon conductive tape. Then, samples were coated 30 s with a 15 nm gold layer and analysed using a Scanning Electron Microscope (<span>Phenom™ ProX Desktop, Thermofisher</span>). Images were taken using an accelerating voltage of 15 kV.</p> <p><em>Bacillus paramycoides</em> ST4, <em>Bacillus wiedmannii</em> ST29 and <em>Bacillus proteolyticus </em>ST9 <span>images obtained by SEM-EDX are presented in this dataset. Pb was found present in/on the bacterial cell wall of these bacteria cultures and detected by EDX spectra. </span></p>
Dataset accompanying the publication "Towards 3D determination of the surface roughness of core-shell microparticles as a routine quality control procedure by scanning electron microscopy"
<p>This dataset accompanies the following publication:</p> <p>Hülagü, D., Tobias, C., Dao, R., Komarov, P., Rurack, K., Hodoroaba, V.-D., Towards 3D determination of the surface roughness of core-shell microparticles as a routine quality control procedure by scanning electron microscopy. Sci.Rep, <span>14<span>, 17936 (2024), https://doi.org/10.1038/s41598-024-68797-7.</span></span></p> <p>It contains SEM and AFM-in-SEM images of polystyrene (PS) core particles, polystyrene-iron oxide (PS/Fe3O4) core-shell particles, and polystyrene-iron oxide-silica (PS/Fe3O4/SiO2) core-shell-shell particles. Please refer to the publication and its supporting information for more details on the acquisition and contents of the dataset, as well as the GitHub repository at https://github.Com/denizhulagu/roughness-analysis-by-electron-microscopy.</p> <p> </p> <p>The investigated particles were produced at BAM laboratories as previously described in:</p> <p>Hülagü, D. et al. Generalized analysis approach of the profile roughness by electron microscopy with the example of hierarchically grown polystyrene–iron oxide–silica core–shell–shell particles. Adv. Eng. Mater. 24, 2101344, https://doi.org/10.1002/adem.202101344 (2022).</p> <p>Tobias, C., Climent, E., Gawlitza, K. & Rurack, K. Polystyrene microparticles with convergently grown mesoporous silica shells as a promising tool for multiplexed bioanalytical assays. ACS Appl. Mater. Interfaces 13, 207, https://dx.doi.org/10.1021/acsami.0c17940 (2020).</p>
Scanning electron microscopy (SEM) images of particulate matter collected on air filters
<p>Airborne PM sampling was conducted within a larger study on the PM composition of different areas in Santa Rosa, La Pampa, Argentina by Prof. Dr. Mendez Mariano. Airborne PM10 samples were collected on commercial 47mm diameter PTFE membrane filters (Image 1-blank) and Nylon filters (Image 2-blank). The PM10 was collected using an electrostatic precipitator coupled with the Easy Dust Generator (EDG). Filters were analysed using a Scanning Electron Microscope (Phenom™ ProX Desktop, Thermofisher). Images were taken using an accelerating voltage of 15 kV. SEM-EDX results are presented in this dataset.</p>
Serial block-face scanning electron microscopy of adherent cells on thin plastic substrate – Data set 10
<p>Serial block-face (SBF) scanning electron microscopy (SEM) is used for imaging the entire internal ultrastructure of cells, tissue samples or small organisms. We developed a workflow for SBF SEM of adherent cells, such as <em>Giardia</em> parasites and HeLa cells, attached to the surface of a plastic culture dish, which preserves the interface between cells and plastic substrate. Cells were embedded <em>in situ</em> on their substrate using silicone microwells and were mounted for cross-sectioning which allowed SBF imaging of large volumes and many cells. In total we provide 10 data sets with image series from SBF SEM of <em>Giardia</em> and HeLa cells prepared with protocol variants to improve the workflow. A detailed description of the methods and the data set is provided in the download container.</p> <p>Data set 10 comprises an image series of 255 images recorded of a HeLa cell adhered to the plastic substrate of a culture dish. SBF SEM was done at a section interval of 50 nm using the T1 detector of the SEM at high vacuum. Original pixel size was 10 nm. The data folder contains the raw image files, processed image files (see data set description for details of the processing), a video file of a processed image file series.</p>
Serial block-face scanning electron microscopy of adherent cells on thin plastic substrate – Data set 05
<p>Serial block-face (SBF) scanning electron microscopy (SEM) is used for imaging the entire internal ultrastructure of cells, tissue samples or small organisms. We developed a workflow for SBF SEM of adherent cells, such as <em>Giardia</em> parasites and HeLa cells, attached to the surface of a plastic culture dish, which preserves the interface between cells and plastic substrate. Cells were embedded <em>in situ</em> on their substrate using silicone microwells and were mounted for cross-sectioning which allowed SBF imaging of large volumes and many cells. In total we provide 10 data sets with image series from SBF SEM of <em>Giardia</em> and HeLa cells prepared with protocol variants to improve the workflow. A detailed description of the methods and the data set is provided in the download container.</p> <p>Data set 05 comprises an image series of 500 images recorded of a HeLa cell adhered to the plastic substrate of a culture dish. SBF SEM was done at a section interval of 50 nm using the DBS detector of the SEM at low vacuum (0.4 mbar). Original pixel size was 6 nm. The data folder contains the raw image files, processed image files (see data set description for details of the processing), a video file of a processed image file series.</p>
Serial block-face scanning electron microscopy of adherent cells on thin plastic substrate – Data set 03
<p>Serial block-face (SBF) scanning electron microscopy (SEM) is used for imaging the entire internal ultrastructure of cells, tissue samples or small organisms. We developed a workflow for SBF SEM of adherent cells, such as <em>Giardia</em> parasites and HeLa cells, attached to the surface of a plastic culture dish, which preserves the interface between cells and plastic substrate. Cells were embedded <em>in situ</em> on their substrate using silicone microwells and were mounted for cross-sectioning which allowed SBF imaging of large volumes and many cells. In total we provide 10 data sets with image series from SBF SEM of <em>Giardia</em> and HeLa cells prepared with protocol variants to improve the workflow. A detailed description of the methods and the data set is provided in the download container.</p> <p>Data set 03 comprises an image 3D model of a <em>Giardia lamblia</em> cell adhered to the plastic substrate of a culture dish. The model was generated by segmentation of the entire cell, the cell nuclei (red) and the ventral disc cytoskeleton (yellow) in an image series of 276 images which was recorded by SBF SEM (see dataset 01). Section interval was 50 nm and pixel size 10 nm. The data folder contains the model-file (Imaris-format) and a 360° rotation of the model as video file (mp4-format).</p>
Serial block-face scanning electron microscopy of adherent cells on thin plastic substrate – Data set 02
<p>Serial block-face (SBF) scanning electron microscopy (SEM) is used for imaging the entire internal ultrastructure of cells, tissue samples or small organisms. We developed a workflow for SBF SEM of adherent cells, such as <em>Giardia</em> parasites and HeLa cells, attached to the surface of a plastic culture dish, which preserves the interface between cells and plastic substrate. Cells were embedded <em>in situ</em> on their substrate using silicone microwells and were mounted for cross-sectioning which allowed SBF imaging of large volumes and many cells. In total we provide 10 data sets with image series from SBF SEM of <em>Giardia</em> and HeLa cells prepared with protocol variants to improve the workflow. A detailed description of the methods and the data set is provided in the download container.</p> <p>Data set 02 comprises an image series of 1462 images recorded of a <em>Giardia lamblia</em> cell adhered to the plastic substrate of a culture dish. SBF SEM was done at a section interval of 10 nm using the DBS detector of the SEM at low vacuum (0.5 mbar). Original pixel size was 5 nm. The data folder contains the raw image files, processed image files (see data set description for details of the processing), a video file of a processed image file series.</p>
Serial block-face scanning electron microscopy of adherent cells on thin plastic substrate – Data set 09
<p>Serial block-face (SBF) scanning electron microscopy (SEM) is used for imaging the entire internal ultrastructure of cells, tissue samples or small organisms. We developed a workflow for SBF SEM of adherent cells, such as <em>Giardia</em> parasites and HeLa cells, attached to the surface of a plastic culture dish, which preserves the interface between cells and plastic substrate. Cells were embedded <em>in situ</em> on their substrate using silicone microwells and were mounted for cross-sectioning which allowed SBF imaging of large volumes and many cells. In total we provide 10 data sets with image series from SBF SEM of <em>Giardia</em> and HeLa cells prepared with protocol variants to improve the workflow. A detailed description of the methods and the data set is provided in the download container.</p> <p>Data set 09 comprises an image series of 400 images recorded of a HeLa cell adhered to the plastic substrate of a culture dish. SBF SEM was done at a section interval of 10 nm using the DBS detector of the SEM at low vacuum (0.4 mbar). Original pixel size was 10 nm. The data folder contains the raw image files, processed image files (see data set description for details of the processing), a video file of a processed image file series.</p>
Serial block-face scanning electron microscopy of adherent cells on thin plastic substrate – Data set 08
<p>Serial block-face (SBF) scanning electron microscopy (SEM) is used for imaging the entire internal ultrastructure of cells, tissue samples or small organisms. We developed a workflow for SBF SEM of adherent cells, such as <em>Giardia</em> parasites and HeLa cells, attached to the surface of a plastic culture dish, which preserves the interface between cells and plastic substrate. Cells were embedded <em>in situ</em> on their substrate using silicone microwells and were mounted for cross-sectioning which allowed SBF imaging of large volumes and many cells. In total we provide 10 data sets with image series from SBF SEM of <em>Giardia</em> and HeLa cells prepared with protocol variants to improve the workflow. A detailed description of the methods and the data set is provided in the download container.</p> <p>Data set 08 comprises an image series of 299 images recorded of a HeLa cell adhered to the plastic substrate of a culture dish. SBF SEM was done at a section interval of 50 nm using the DBS detector of the SEM at low vacuum (0.4 mbar). Original pixel size was 3 nm. The data folder contains the raw image files, processed image files (see data set description for details of the processing), a video file of a processed image file series.</p>
Serial block-face scanning electron microscopy of adherent cells on thin plastic substrate – Data set 04
<p>Serial block-face (SBF) scanning electron microscopy (SEM) is used for imaging the entire internal ultrastructure of cells, tissue samples or small organisms. We developed a workflow for SBF SEM of adherent cells, such as <em>Giardia</em> parasites and HeLa cells, attached to the surface of a plastic culture dish, which preserves the interface between cells and plastic substrate. Cells were embedded <em>in situ</em> on their substrate using silicone microwells and were mounted for cross-sectioning which allowed SBF imaging of large volumes and many cells. In total we provide 10 data sets with image series from SBF SEM of <em>Giardia</em> and HeLa cells prepared with protocol variants to improve the workflow. A detailed description of the methods and the data set is provided in the download container.</p> <p>Data set 04 comprises an image series of 120 images recorded of a HeLa cell adhered to the plastic substrate of a culture dish. SBF SEM was done at a section interval of 50 nm using the T1 detector of the SEM at high vacuum. Original pixel size was 10 nm. The data folder contains the raw image files, processed image files (see data set description for details of the processing), a video file of a processed image file series.</p>
Serial block-face scanning electron microscopy of adherent cells on thin plastic substrate – Data set 07
<p>Serial block-face (SBF) scanning electron microscopy (SEM) is used for imaging the entire internal ultrastructure of cells, tissue samples or small organisms. We developed a workflow for SBF SEM of adherent cells, such as <em>Giardia</em> parasites and HeLa cells, attached to the surface of a plastic culture dish, which preserves the interface between cells and plastic substrate. Cells were embedded <em>in situ</em> on their substrate using silicone microwells and were mounted for cross-sectioning which allowed SBF imaging of large volumes and many cells. In total we provide 10 data sets with image series from SBF SEM of <em>Giardia</em> and HeLa cells prepared with protocol variants to improve the workflow. A detailed description of the methods and the data set is provided in the download container.</p> <p>Data set 07 comprises an image series of 318 images recorded of a HeLa cell adhered to the plastic substrate of a culture dish. SBF SEM was done at a section interval of 10 nm using the DBS detector of the SEM at low vacuum (0.4 mbar). Original pixel size was 8 nm. The data folder contains the raw image files, processed image files (see data set description for details of the processing), a video file of a processed image file series.</p>
Serial block-face scanning electron microscopy of adherent cells on thin plastic substrate – Data set 06
<p>Serial block-face (SBF) scanning electron microscopy (SEM) is used for imaging the entire internal ultrastructure of cells, tissue samples or small organisms. We developed a workflow for SBF SEM of adherent cells, such as <em>Giardia</em> parasites and HeLa cells, attached to the surface of a plastic culture dish, which preserves the interface between cells and plastic substrate. Cells were embedded <em>in situ</em> on their substrate using silicone microwells and were mounted for cross-sectioning which allowed SBF imaging of large volumes and many cells. In total we provide 10 data sets with image series from SBF SEM of <em>Giardia</em> and HeLa cells prepared with protocol variants to improve the workflow. A detailed description of the methods and the data set is provided in the download container.</p> <p>Data set 06 comprises an image series of 215 images recorded of a HeLa cell adhered to the plastic substrate of a culture dish. SBF SEM was done at a section interval of 10 nm using the DBS detector of the SEM at low vacuum (0.4 mbar). Original pixel size was 10 nm. The data folder contains the raw image files, processed image files (see data set description for details of the processing), a video file of a processed image file series.</p>
Serial block-face scanning electron microscopy of adherent cells on thin plastic substrate – Data set 01
<p>Serial block-face (SBF) scanning electron microscopy (SEM) is used for imaging the entire internal ultrastructure of cells, tissue samples or small organisms. We developed a workflow for SBF SEM of adherent cells, such as <em>Giardia</em> parasites and HeLa cells, attached to the surface of a plastic culture dish, which preserves the interface between cells and plastic substrate. Cells were embedded <em>in situ</em> on their substrate using silicone microwells and were mounted for cross-sectioning which allowed SBF imaging of large volumes and many cells. In total we provide 10 data sets with image series from SBF SEM of <em>Giardia</em> and HeLa cells prepared with protocol variants to improve the workflow. A detailed description of the methods and the data set is provided in the download container.</p> <p>Data set 01 comprises an image series of 276 images recorded of a <em>Giardia lamblia</em> cell adhered to the plastic substrate of a culture dish. SBF SEM was done at a section interval of 50 nm using the DBS detector of the SEM at low vacuum (0.5 mbar). Original pixel size was 4 nm. The data folder contains the raw image files, processed image files (see data set description for details of the processing), a video file of a processed image file series.</p>
Transmission electron microscopy (TEM) images of multiwalled carbon nanotubes (MWCNT) detached from polycarbonate (PC) composites
<p>Transmission electron microscopy (TEM) images of multiwalled carbon nanotubes (MWCNT) detached from polycarbonate (PC) composites to determine the MWCNT length distribution. Two sample series of TEM images are included. One based on PC type Makrolon® 2600 and one based on PC type Lexan 141R. The TEM images were taken by Mrs Manuela Heber and the measurement of the MWCNT lengths was carried out by Mrs Manuela Heber and <a href="https://www.ipfdd.de/en/organization/organization-chart/personal-homepages/dr-beate-krause/">Mrs. Dr. Beate Krause</a> (both members of Leibniz-Institut für Polymerforschung Dresden e.V. (<a href="https://www.ipfdd.de/en/home/">IPF</a>)).</p> <p><br>The results of these measurements are presented in the following publication: </p> <p>Petra Pötschke, Tobias Villmow, Beate Krause and Bernd Kretzschmar,<sup> </sup>Influence of Twin-screw Extrusion Conditions on MWCNT Length and Dispersion and Resulting Electrical and Mechanical Properties of Polycarbonate Composites, <strong>polymers </strong>2024, 16(19), 2694. <a href="https://doi.org/10.3390/polym16192694">https://doi.org/10.3390/polym16192694</a></p>
Data from: Correction of preferred-orientation induced distortion in cryo-electron microscopy maps
<p>Reconstruction maps of cryo-electron microscopy (cryo-EM) exhibit distortion when the cryo-EM dataset is incomplete, usually caused by unevenly distributed orientations. Prior efforts had been attempted to address this preferred orientation problem using tilt-collection strategy, modifications to grids or to air-water-interfaces. However, these approaches often require time-consuming experiments and the effect was always protein dependent. Here, we developed a procedure containing removing mis-aligned particles and an iterative reconstruction method based on signal-to-noise ratio of Fourier component to correct such distortion by recovering missing data using a purely computational algorithm. This procedure called Signal-to-Noise Ratio Iterative Reconstruction Method (SIRM) was applied on incomplete datasets of various proteins to fix distortion in cryo-EM maps and to a more isotropic resolution. In addition, SIRM provides a better reference map for further reconstruction refinements, resulting in an improved alignment, which ultimately improves map quality and benefits model building.</p>
Dataset to accompany publication "Precision of Radiation Chemistry Networks: Playing Jenga with Kinetic Models for Liquid-Phase Electron Microscopy"
<h2>Dataset description</h2> <p>This dataset displays the raw data for the manuscript "Precision of Radiation Chemistry Networks: Playing Jenga with Kinetic Models for Liquid-Phase Electron Microscopy"<strong> </strong>published in <em>Precision Chemistry </em>on 06 December 2023 (DOI: <a title="DOI URL" href="https://doi.org/10.1021/prechem.3c00078">10.1021/prechem.3c00078</a>).</p> <p> </p>
Scanning electron microscopy datasets -- Emiliania huxleyi strains from naturally high and low CO2 waters responding to high and low CO2 in the lab
<p>Study question: How do Emiliania huxleyi strains isolated from naturally high CO2 waters or low CO2 waters respond to exposure to high and low CO2 levels?</p> <p> </p> <p>Associated article:<br> Peter von Dassow, Francisco Díaz-Rosas, El Mahdi Bendif, Juan-Diego Gaitán-Espitia, Daniella Mella-Flores, Sebastian Rokitta, Uwe John, and Rodrigo Torres. 2018. Over-calcified forms of the coccolithophore <em>Emiliania huxleyi </em>in high-CO2 waters are not preadapted to ocean acidification. Biogeosciences. <a href="https://doi.org/10.5194/bg-15-1-2018">https://doi.org/10.5194/bg-15-1-2018</a></p> <p> </p> <p>Technical notes:</p> <p>Three electron microscopes were used:</p> <ol> <li>TM3000 (Hitachi High-Technologies, Tokyo, Japan) in the Unidad de Microscopía Avanzada of the Facultad de Ciencias Biológicas, Pontificia Univesidad Católica de Chile. The Hitachi microscope is not of high quality, and, when available, other electron microscopes were used.</li> <li>Quanta 250 (FEI, Hillsboro, Oregon, USA) in the Facultad de Geología, Universidad de Chile</li> <li>Quanta FEG 250 (FEI, Hillsboro, Oregon, USA) in the laboratory CIEN-UC, Facultad de Física, Pontificia Universidad Católica de Chile.</li> </ol> <p> </p> <p>Data set 1: Data-sharing-SEM_Calfuco-CO2 experiment.zip</p> <p>Scanning electron microscopy images of E. huxleyi strains after bubbling with 1200 µatm CO2 and 400 µatm CO2 air/CO2 mixes.</p> <p> </p> <p>Data set 2: Field-SEM-2011-2013.zip</p> <p>Scanning electron microscope images of filters of plankton samples taken during field campaigns. See article for methodology. For the samples from ElQuisco_2012 and JuanFernandez_2011, note that the last two digits in the sample name refer to the depth from which the sample was obtained (ej., “FQ.01.01.05D” is from 5 m and “FQ.01.01.15D” is from 15 m). Tables are provided to associate counts and taxonomic identifications to environmental variables from the samples for which data was used in statistical analysis. Note also that images do not correspond to all counts reported, as sometimes counts were made without capturing images due to time pressure for microscope use. </p>
Dataset used in manuscript: "Monolayer and thin h–BN as substrates for electron spectro-microscopy analysis of plasmonic nanoparticles "
<p>This file contains raw data for the manuscript:<br> "Monolayer and thin h–BN as substrates for electron spectro-microscopy analysis of plasmonic nanoparticles"<br> Tizei LHG et al, Applied Physics Letters 113, 231108 (2018).</p> <p>The data is electron energy loss spectroscopy (EELS) hyperspectral images of gold nanotriangles on different substrates.</p> <p>Data can be opened and manipulated using Hyperspy (www.hyperspy.org), Numpy and Matploplib libraries available in Python 3. The file formats used were HSPY (based HDF5 open standard) and MSA.</p> <p>Each folder contains the following data for all the triangles used in the manuscript:</p> <p>1) One annular dark field image of the triangle in HSPY format;<br> 2) One spectrum image aligned (the zero-loss speak is set to 0 eV) in HSPY format;<br> 3) Three spectra, one for each tip, already after deconvolution (20 steps using a home-made script in Digital Micrograph) in MSA format;<br> 4) The zero-loss spectrum used for the deconvolution of the data in MSA format;</p> <p>The file names have a specific format to facilite scripting:</p> <p>1) finishes with "Calibrated.hspy";<br> 2) finishes with "aligned.hspy";<br> 3) finishes with "TipX.msa" where X is 1, 2 or 3;<br> 4) finishes with "Summed.msa";</p> <p>Data acquisition parameters are described in the manuscript: Tizei LHG et al APL 113, 231108 (2018).</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)
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DANDI Archive for NWB datasets
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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.