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576 results for “salmonella”
Figure 4 in Antimicrobial activity of noni fruit essential oil on Escherichia coli O157:H7 and Salmonella Enteritidis
Figure 4. The GC chromatogram of noni EO: 1. α-pinene; 2. camphene; 3. Methyl ester; 4. 2- heptanone; 5. Caprylic acid.
Figure 1 in Antimicrobial activity of noni fruit essential oil on Escherichia coli O157:H7 and Salmonella Enteritidis
Figure 1. The effect of noni EO on E. coli O157:H7 and S. Enteritidis using the direct spreading- plate method on the MIC value of noni EO towards both pathogens.
Figure 3 in Antimicrobial activity of noni fruit essential oil on Escherichia coli O157:H7 and Salmonella Enteritidis
Figure 3. The survival of E. coli O157:H7 and S. Enteritidis as affected by noni EO in TBS after a treatment for 16 hours.
Figure 2 in Antimicrobial activity of noni fruit essential oil on Escherichia coli O157:H7 and Salmonella Enteritidis
Figure 2. The effect of noni EO on E. coli O157:H7 and S. Enteritidis using the broth dilution method in TBS to determine the MBC value of noni EO against both pathogens.
Single-cell profiling identifies ACE+ granuloma macrophages as a non-permissive niche for intracellular bacteria during persistent Salmonella infection
<p>Macrophages mediate key antimicrobial responses against intracellular bacterial pathogens, such as <em>Salmonella enterica</em>. Yet, they can also act as a permissive niche for these pathogens to persist in infected tissues within granulomas, which are immunological structures comprised of macrophages and other immune cells. We apply single-cell transcriptomics to investigate macrophage functional diversity during persistent <em>Salmonella</em> <em>enterica</em> serovar Typhimurium (<em>S</em>Tm) infection in mice. We identify determinants of macrophage heterogeneity in infected spleens and describe populations of distinct phenotypes, functional programming, and spatial localization. Using a <em>S</em>Tm mutant with impaired ability to polarize macrophage phenotypes, we find that angiotensin converting enzyme (ACE) defines a granuloma macrophage population that is non-permissive for intracellular bacteria and their abundance anticorrelates with tissue bacterial burden. Disruption of pathogen control by neutralizing TNF is linked to preferential depletion of ACE<sup>+</sup> macrophages in infected tissues. Thus ACE<em><sup>+</sup></em> macrophages have limited capacity to serve as cellular niche for intracellular bacteria to establish persistent infection.</p>
Expression of a corA-lacZ transcriptional fusion in Salmonella
<p>A <i>corA-lacZ</i> transcriptional fusion was shown to be activated by RpoS when<i> Salmonella</i> is grown to stationary phase in LB rich medium (Metaane<i> et al</i>. 2022)</p><p>Here, expression of the <i>corA-lacZ</i> fusion was evaluated in <i>Salmonella</i> wild-type strain and <i>rpoS</i> mutant grown to stationary phase in LB medium containing different concentrations of Mg and in minimal medium M63 starved or not for Mg. RpoS was required fort optimal expression of the fusion in these three environmental conditions and level of expression was slightly higher when the extracellular magnesium concentration was low.</p><p>Metaane S, Monteil V, Ayrault S, Bordier L, Levi-Meyreuis C, Norel F. The stress sigma factor sigmaS/RpoS counteracts Fur repression of genes involved in iron and manganese metabolism and modulates the ionome of <i>Salmonella enterica</i> serovar Typhimurium. PloS one 2022, 17(3):e0265511.</p><p><strong>This work was supported by the French National Research Agency (ANR-19-CE44-0005-01, PERIOMET project).</strong></p><p>See also:</p><p>Metaane S, Monteil V, Douché T, Giai Gianetto Q, Matondo M, Maufrais C, Norel F. Loss of CorA, the primary magnesium transporter of <i>Salmonella, </i>is alleviated by MgtA and PhoP-dependent compensatory mechanisms. PloS one 2023, 18(9):e0291736.</p><p>NOREL, MONTEIL, & METAANE. (2023). Towards new elements involved in magnesium and cobalt trafficking in Salmonella serovar Typhimurium. Zenodo. <a href="https://doi.org/10.5281/zenodo.8086417">https://doi.org/10.5281/zenodo.8086417</a></p><p>NOREL, METAANE, & MONTEIL. (2023). Detection of physical interactions between the magnesium transporter CorA and other Cor proteins using the bacterial two hybrid system (BACTH). Zenodo. <a href="https://doi.org/10.5281/zenodo.7994619">https://doi.org/10.5281/zenodo.7994619</a></p><p>NOREL Francoise, MONTEIL Veronique, DOUCHE Thibaut, & MATONDO Mariette. (2023). Global effects of deletions of the sitABCD, mntH, cbiMNQO and corA genes, encoding transporters for manganese, cobalt and magnesium on protein abundance in Salmonella enterica serovar Typhimurium grown to stationary phase in LB. [Data set]. Zenodo. <a href="https://doi.org/10.5281/zenodo.8279780">https://doi.org/10.5281/zenodo.8279780</a></p>
Expression of mgtA encoding a magnesium transporter is activated in the absence of the main Mg2+ transporter CorA in Salmonella
<p><i>Salmonella</i> imports magnesium via three known transporters, the widely conserved CorA transporter and the MgtA and MgtB P-type ATPases. CorA is expressed under various growth conditions whereas the other two magnesium transporters, MgtA and MgtB, are expressed under conditions of magnesium starvation under the positive control of the PhoP-PhoQ regulatory system. <br>Our recent results suggest that production of MgtA, but not that of MgtB, is activated in the absence of the main Mg2+ transporter CorA (Metaane <i>et al </i>2022, 2023 ) <br>This hypothesis was further validated in this study by using transcriptional and translational <i>lacZ </i>fusions in the <i>mgtA </i>and <i>mgtB</i> genes. In addition, our data suggest that regulation of expression of MgtA in the absence of CorA is post-transcriptional . </p><p><strong>This work was supported by the French National Research Agency (ANR-19-CE44-0005-01, PERIOMET project).</strong> </p><p>Metaane S, Monteil V, Ayrault S, Bordier L, Levi-Meyreuis C, Norel F. The stress sigma factor sigmaS/RpoS counteracts Fur repression of genes involved in iron and manganese metabolism and modulates the ionome of <i>Salmonella enterica </i>serovar Typhimurium. PLoS One 2022;17(3):e0265511.</p><p>Metaane S, Monteil V, Douché T, Giai Gianetto Q, Matondo M, Maufrais C, Norel F. Loss of CorA, the primary magnesium transporter of <i>Salmonella, </i>is alleviated by MgtA and PhoP-dependent compensatory mechanisms. PLoS One 2023;18(9):e0291736.</p><p> </p>
The cell-associated magnesium content is affected in Salmonella mutants defective for SigmaS/RpoS and O-antigen synthesis
<p>In many Gram-negative bacteria, the stress sigma factor of RNA polymerase, σS/RpoS, remodels global gene expression to reshape the physiology of quiescent cells and ensure their survival under non-optimal growth conditions. In the foodborne pathogen <i>Salmonella enterica</i> serovar Typhimurium, σS is also required for biofilm formation and virulence. </p><p>Our recent work has shown that a Δ<i>rpoS</i> mutation reduces the magnesium content of <i>Salmonella</i> (Metaane et al. 2022, PLoS ONE 17(3): e0265511). The O-antigen of LPS is a Mg2+ reservoir that can be used under magnesium deprivation. </p><p>We show here that eventhough the cell-associated magnesium content is affected when <i>Salmonella</i> lacks the entire O-antigen, an effect of the Δ<i>rpoS</i> mutation can be still observed. </p><p>We have also shown that the amount of intracellular free Mg2+ is slightly reduced in the Δ<i>rpoS</i> mutant compared to the wild-type strain (Metaane et al 2023, PLoS ONE 18(9): e0291736). </p><p><strong>This work was supported by the French National Research Agency (ANR-19-CE44-0005-01, PERIOMET project).</strong> </p>
Dynamics of macrophage polarization in Salmonella infection: row data
<p>Experimental metadata of the manuscript " <strong>Dynamics of macrophage polarization support <em>Salmonella</em> persistence in a whole living organism</strong> " by Leiba et al.</p>
Global effects of deletion of the sdh genes, encoding succinate dehydrogenase, and of cobalt on protein abundance in stationary phase Salmonella enterica serovar Typhimurium.
<p>A common strategy that bacteria utilize to increase their survival under stressful conditions in their natural environments, including antibiotic treatment, is the entry into quiescence, a state of reversible cell growth arrest that offers protection against many environmental insults. Understanding quiescence is an important fundamental question, with relevance in the medical and environmental fields. Little is known about the molecular and physiological determinants that orchestrate survival during this temporary arrest of proliferation, or those that allow a rapid transition back to the proliferating state when conditions again become favorable. In the wide host-range pathogen <em>Salmonella enterica</em> serovar Typhimurium (S. Typhimurium) and other Gram-negative bacteria, this temporary arrest of proliferation induces the expression of the alternative sigma subunit of RNA polymerase, σS/RpoS, which remodels global gene expression to reshape the cell physiology and ensure survival under starvation and various stress conditions (<em>i.e</em>., the general stress response). One important aspect of persistence is the phenotypic differentiation of quiescent populations into sub-population(s) of "persisters" that survive in the presence of lethal concentrations of antibiotics. This phenomenon is worsening the worldwide antibiotic crisis, by causing therapy failure and chronic infections and potentially favoring the development of antibiotic resistance. Understanding mechanisms governing bacterial persisters is thus an important topic and a key issue for drug developments. However, despites many studies, the physiological and molecular mechanisms controlling the formation of persisters are poorly understood and controversial.</p> <p>We have recently discovered an unexpected functional interaction between σS and succinate dehydrogenase (Sdh) in the formation of persisters. Succinate dehydrogenase (Sdh), a membrane bound complex that connects the TCA cycle and respiratory chain, is one major target down regulated by σS (Levi-Meyrueis <em>et al</em>. 2014, 2015, Lago <em>et al.</em> 2017). Stationary-phase <em>Salmonella</em> grown in LB rich medium form persisters with a higher frequency than actively growing bacteria, after transfer to fresh LB medium in the presence of lethal concentrations of ampicillin and ciprofloxacin, but not significant effect of the Δ<em>rpoS</em> mutation on this phenomenon was observed. Surprisingly however, the Δ<em>rpoS</em> mutation suppressed the defect in persister formation of a Δ<em>sdh </em>mutant. It is very likely that the Δ<em>rpoS</em> mutation compensates for a metabolic perturbation provoked by the Δ<em>sdh </em>mutation, and key for persister formation.</p> <p>To get further insights into the synthetic rescue process involved in persisters formation, we used a mass spectrometry-based proteomics approach to compare the proteome of the wild-type, Δ<em>rpoS</em>, Δ<em>sdh</em> and Δ<em>sdh</em>Δ<em>rpoS</em> strains grown to late stationary phase in nutrient-rich LB medium. Cells were also grown in LB supplemented with cobalt to pinpoint major changes induced by cobalt on the <em>Salmonella</em> proteome. Indeed, the synthetic rescue process involved in persisters formation in the presence of ampicillin was abolished when the inoculum has been grown in the presence of a non-lethal dose of cobalt (100 μM).</p> <p><strong>Accession number</strong>.The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier <strong>PXD043726.</strong></p> <p><strong>See also:</strong></p> <p>NOREL, F., & MONTEIL, V. (2023). Unraveling a synthetic rescue process involved in persisters formation [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10277562</p> <p>Phégnon, L., Uttenweiler-Joseph, S., & Létisse, F. (2024). <span>Key physiological and metabolic characteristics for the differentiation of quiescent Salmonella's cells into persisters [Data set]. </span>Zenodo. <a href="https://doi.org/10.5281/zenodo.10885905" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.10885905</a></p> <p><strong>This work was supported by the French National Research Agency (ANR-19-CE44-0005-01, PERIOMET project).</strong></p> <p><strong>References</strong></p> <p>Levi-Meyrueis C, Monteil V, Sismeiro O, Dillies MA, Monot M, Jagla B<em>, et al. </em>Expanding the RpoS/sigmaS-network by RNA sequencing and identification of sigmaS-controlled small RNAs in <em>Salmonella</em>. PloS one. 2014;9(5):e96918.</p> <p>Levi-Meyrueis C, Monteil V, Sismeiro O, Dillies M-A, Kolb A, Monot M <em>et al</em>. Repressor activity of the RpoS/sigmaS-dependent RNA polymerase requires DNA binding. Nucleic Acids Res 2015 43, 1456–1468.</p> <p>Lago M, Monteil V, Douche T, Guglielmini J, Criscuolo A, Maufrais C, <em>et al</em>. Proteome remodelling by the stress sigma factor RpoS/sigma(S) in <em>Salmonella</em>: identification of small proteins and evidence for post-transcriptional regulation. Scientific reports. 2017;7(1):2127.</p> <p> </p>
Data from: Assessing the contributions of intraspecific and environmental sources of infection in urban wildlife: Salmonella enterica and white ibis as a case study
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Single-cell profiling identifies ACE+ granuloma macrophages as a non-permissive niche for intracellular bacteria during persistent Salmonella infection
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1263 Salmonella enterica draft genomes assembled from Bioproject PRJEB31846
<p>We assembled 1263 Salmonella enterica draft genomes (raw data available from PRJEB31846).</p> <p> </p> <ul> <li>The dataset comprises diverse Salmonella enterica serovars collected between the years 1999 and 2019 and sequenced by the National Reference Laboratory for Salmonella on Illumina MiSeq and NextSeq technology. The data was described in more detail in 10.1128/AEM.02265-19.</li> </ul> <ul> <li>Data were trimmed (with fastp, version 0.19.5) and assembled (with shovil-spades, version 1.1.0) using the AQUAMIS pipeline (https://gitlab.com/bfr_bioinformatics/AQUAMIS, version v1.2.0). All samples passed basic quality checks, such as sufficient base quality, coverage depth, genome length and contig number. Furthermore, no evidence for sample contamination was detected.</li> <li>The assemblies are input to a validation of chewieSnake (https://gitlab.com/bfr_bioinformatics/chewieSnake).</li> <li>The cgMLST analysis is available in https://bfr_bioinformatics.gitlab.io/chewiesnake_publicationdata/</li> </ul> <p> </p>
Clonal relationship of ESBL-producing Salmonella strains from humans and poultry in North-Eastern Algeria
<p>BVET-D-16-00240</p> <p>A study was conducted to determine antibiotic resistance levels and patterns, and to assess the relationship of avian drug-resistant Salmonella to human clinical isolates in Algéria.</p>
Deep microbiome-based characterization of the alterations in resident bacterial communities of pasteurized bovine milk contaminated with Salmonella Typhimurium over time
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Gene expression QTL lead variants in macrophages stimulated with IFNg and Salmonella
<p>Lead eQTL variants from RASQUAL and FastQTL analyses.</p> <p>Columns in the RASQUAL results:</p> <ul> <li>snp_id - id of the lead eQTL variant</li> <li>gene_id - id of the gene</li> <li>chisq - Chi-square statistics from RASQUAL</li> <li>p_nominal - Nominal p-value from RASQUAL</li> <li>p_eigen - Nominal p-value corrected by EigenMT for the number of indepedent tests in the cis region of the gene.</li> <li>n_tests - Number of independent tests estimated by EigenMT</li> <li>fdr_thresh - Empirical FDR 10% threshold. Those eQTLs for which p_eigen < fdr_threshold are significant at the 10% FDR level.</li> </ul> <p> </p>
INNUENDO whole genome and core genome MLST schemas and datasets for Salmonella enterica
<p><strong>Dataset</strong></p> <p>As reference dataset, 4,307 public available draft or complete genome assemblies and available metadata of <em>Salmonella enterica</em> have been downloaded from public repositories (i.e. <a href="https://enterobase.warwick.ac.uk/">EnteroBase</a>, <a href="https://www.ncbi.nlm.nih.gov/">National Center for Biotechnology Information NCBI</a>and <a href="https://www.ebi.ac.uk/">The European Bioinformatics Institute EMBL-EBI</a>; accessed April 2017). The collection includes 1,465 <em>S.</em> Enteritidis, 2,442 <em>S.</em>Typhimurium, and 400 of other frequently isolated serovars in Europe. The dataset includes also 153 <em>S.</em>Typhimurium variant 4,[5],12:i:- collected from different Italian regions between 2012 and 2014 during a surveillance study and 129 <em>S.</em> Enteritidis belonging to the INNUENDO sequence dataset (<a href="https://www.ebi.ac.uk/ena/data/view/PRJEB27020">PRJEB27020</a>). The 282 additional genomes were assembled using <a href="https://github.com/B-UMMI/INNUca">INNUca v3.1</a>.</p> <p>File 'Metadata/Senterica_metadata.txt' contains metadata information for each strain including source classification, host taxa, year and country of isolation, serotype, classical pubMLST 7 genes ST classification, and source/method of the assembly. </p> <p>The directory 'Genomes' contains all the 4,589 assemblies of the strains listed in 'Metadata/Senterica_metadata.txt'. Please note that genomes marked as 'Enterobase' have been downloaded from Enterobase webpage http://enterobase.warwick.ac.uk.</p> <p><strong>Schema creation and validation</strong></p> <p>The wgMLST schema from <a href="https://enterobase.warwick.ac.uk/species/senterica/download_data">EnteroBase</a> have been downloaded and curated using <a href="https://github.com/B-UMMI/chewBBACA/wiki/1.-Schema-Creation"><em>chewBBACA AutoAlleleCDSCuration</em></a> for removing all alleles that are not coding sequences (CDS). The quality of the remain loci have been assessed using <a href="https://github.com/B-UMMI/chewBBACA/wiki/1.-Schema-Creation"><em>chewBBACA Schema Evaluation</em></a> and loci with single alleles, those with high length variability (i.e. if more than 1 allele is outside the mode +/- 0.05 size) and those present in less than 0.5% of the <em>Salmonella</em> genomes in <a href="https://enterobase.warwick.ac.uk/species/index/senterica">EnteroBase</a> at the date of the analysis (April 2017) have been removed. The wgMLST schema have been further curated, excluding all those loci detected as “Repeated Loci” and loci annotated as “non-informative paralogous hit (NIPH/ NIPHEM)” or “Allele Larger/ Smaller than length mode (ALM/ ASM)” by the <a href="https://github.com/B-UMMI/chewBBACA/wiki/2.-Allele-Calling"><em>chewBBACA Allele Calling</em></a> engine in more than 1% of a dataset composed by 4,589 <em>Salmonella</em> genomes.</p> <p>File 'Schemas/Senterica_wgMLST_ 8558_schema.tar.gz' contains the wgMLST schema formatted for chewBBACA and includes a total of 8,558 loci.</p> <p>File 'Schemas/Senterica_cgMLST_ 3255_listGenes.txt' contains the list of genes from the wgMLST schema which defines the cgMLST schema. The cgMLST schema consists of 3,255 loci and has been defined as the loci present in at least the 99% of the 4,589 <em>Salmonella</em> genomes. Genomes have no more than 2% of missing loci.</p> <p>File 'Allele_Profles/Senterica_wgMLST_alleleProfiles.tsv' contains the wgMLST allelic profile of the 4,589 <em>Salmonella</em> genomes of the dataset. Please note that missing loci follow the annotation of chewBBACA Allele Calling software.</p> <p>File 'Allele_Profles/Senterica_cgMLST_alleleProfiles.tsv' contains the cgMLST allelic profile of the 4,589 <em>Salmonella</em> genomes of the dataset. Please note that missing loci are indicated with a zero.</p> <p><strong>Additional citations</strong></p> <p>The schema are prepared to be used with <a href="https://github.com/B-UMMI/chewBBACA/wiki"><strong>chewBBACA</strong></a>. When using the schema in this repository please cite also:</p> <blockquote> <p>Silva M, Machado M, Silva D, Rossi M, Moran-Gilad J, Santos S, Ramirez M, Carriço J. chewBBACA: A complete suite for gene-by-gene schema creation and strain identification. 15/03/2018. M Gen 4(3): doi:10.1099/mgen.0.000166 <a href="http://mgen.microbiologyresearch.org/content/journal/mgen/10.1099/mgen.0.000166">http://mgen.microbiologyresearch.org/content/journal/mgen/10.1099/mgen.0.000166</a></p> </blockquote> <p><em>Salmonella enterica</em> schema is a derivation of EnteroBase <em>Salmonella </em><a href="http://enterobase.warwick.ac.uk/">EnteroBase</a> wgMLST schema. When using the schema in this repository please cite also:</p> <blockquote> <p>Alikhan N-F, Zhou Z, Sergeant MJ, Achtman M (2018) A genomic overview of the population structure of <em>Salmonella</em>. PLoS Genet 14 (4):e1007261. <a href="https://doi.org/10.1371/journal.pgen.1007261">https://doi.org/10.1371/journal.pgen.1007261</a></p> </blockquote>
In-vitro selection of lactic acid bacteria to combat Salmonella enterica and Campylobacter jejuni in broiler chickens
<p><em><span>In-vitro</span></em><span> selection of LAB strains for antimicrobial applications in livestock production required specific focus on certain LAB strains. Accordingly, six commercial LAB strains (homofermentative, obligatory heterofermentative and facultative heterofermentative) belonging to different genera, were chosen for screening against strains of <em>Salmonella </em>and <em>Campylobacter jejuni </em>under <em>in-vitro </em>conditions.</span></p> <p> </p>
Морфологические трансформации (сферические формы палочковидных клеток) у фенотипов VBNC Escherichia coli и Salmonella Typhimurium в биопленочной популяции
<p>Обнаруженные морфологические трансформации (сферические формы палочковидных клеток) у фенотипов VBNC <em>Escherichia coli</em> (Б) и <em>Salmonella </em>Typhimurium (Г) в биопленочной популяции в сравнении с вегетативными аналогами – соответственно, А и В; при сохраненной целостности мембран (трансмиссионная электронная микроскопия, фото любезно предоставлены д.б.н., проф. Рыбальченко О.В.)</p>
Supplementary Material to the Publication: Clonal relation between Salmonella enterica subspecies enterica serovar Dublin strains of bovine and food origin in Germany
<p>OHEJP Project: BeOne</p> <p><em>Salmonella enterica </em>serovar Dublin (<em>S</em>. Dublin) is a host-adapted serovar that causes enteritis and/or systemic diseases in cattle. Because the serovar is not host-specific, it can infect other species, including human beings, causing severe disease and a higher mortality rate than other non-typhoidal serovars. Given that human illnesses are primarily caused by contaminated milk, milk products, and beef, data on the genetic connection between <em>S</em>. Dublin strains from livestock and food should be analyzed. </p> <p>Whole genome sequencing (WGS) was performed on 144 <em>S</em>. Dublin strains from cattle and 30 strains from food. Multilocus sequence typing (MLST) found that the majority of livestock and food isolates were of the sequence type ST-10. As discovered by core-genome Single-Nucleotide Polymorphisms Typing and core-genome MLST, 14 of 30 strains from food origin were clonally related to at least one strain from cattle. Without outliers, the remaining 16 food-borne strains fit into the genomic structure of <em>S</em>. Dublin in Germany. WGS demonstrated to be an effective method not only for learning about the epidemiology of Salmonella strains, but also for detecting clonal relationships between organisms isolated at different stages of production. This study discovered a strong genetic link between <em>S</em>. Dublin strains from cattle and food, and thus the potential to cause human infections. <em>S</em>. Dublin strains from both origins have a nearly comparable collection of virulence factors, emphasizing their ability to produce severe clinical symptoms in animals as well as humans, emphasizing the importance of effective <em>S</em>. Dublin management in a farm to fork strategy.</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.