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1,737 results for “host data”
Data: Metabolic modeling reveals a multi-level deregulation of host-microbiome metabolic networks in IBD
<p>This archive contains all scripts, resource data and results, including intermediate results to reproduce the results for "Metabolic modeling reveals a multi-level deregulation of host-microbiome metabolic networks in IBD". </p>
Data from: Host-parasite dynamics shaped by temperature and genotype: quantifying the role of underlying vital rates
<p>1. Global warming challenges the persistence of local populations, not only through heat-induced stress, but also through indirect biotic changes. We study the interactive effects of temperature, competition and parasitism in the water flea <i>Daphnia magna</i>.</p> <p>2. We carried out a common garden experiment monitoring the dynamics of <i>Daphnia</i> populations along a temperature gradient. Halfway through the experiment, all populations became infected with the ectoparasite <i>Amoebidium parasiticum</i>, enabling us to study interactive effects of temperature and parasite dynamics. We combined Integral Projection Models with epidemiological models, parameterized using the experimental data on the performance of individuals within dynamic populations. This enabled us to quantify the contribution of different vital rates and epidemiological parameters to population fitness across temperatures and <i>Daphnia</i> clones originating from two latitudes.</p> <p>3. Interactions between temperature and parasitism shaped competition, where Belgian clones performed better under infection than Norwegian clones, mainly due to higher survival. Infected <i>Daphnia</i> populations performed better at higher than at lower temperatures, mainly due to an increased host capability of reducing parasite loads. Temperature strongly affected individual vital rates, but effects largely cancelled out on a population-level. In contrast, parasitism strongly reduced fitness through consistent negative effects on all vital rates. As a result, temperature-mediated parasitism was more important than the direct effects of temperature in shaping population dynamics. Both the outcome of the competition treatments and the observed extinction patterns support our modeling results.</p> <p>4. Our study highlights that shifts in biotic interactions can be equally or more important for responses to warming than direct physiological effects of warming, emphasizing that we need to include such interactions in our studies to predict the competitive ability of natural populations experiencing global warming.</p>
Raw data to: "Vectored antibody gene delivery restores host B and T cell control of persistent viral infection"
<p>Raw data underlying the publication by Ertuna et al. entitled "Vectored antibody gene delivery restores host B and T cell control of persistent viral infection"</p>
Data and code for "Multi-omics Reveals Microbiome, Host Gene Expression, and Immune Landscape in Gastric Carcinogenesis" by Park et al., iScience 2022
<p>This repository is a part of the supplementary document in Park et al., "Multi-omics Reveals Microbiome, Host Gene Expression, and Immune Landscape in Gastric Carcinogenesis" published in iScience 2022.</p> <p>Abstract: To date, there has been no multi-omic analysis characterizing the intricate relationships between the intragastric microbiome and gastric mucosal gene expression in gastric carcinogenesis. Using multi-omic approaches, we provide a comprehensive view of the connections between the microbiome and host gene expression in distinct stages of gastric carcinogenesis (i.e., healthy, gastritis, cancer). We uncover associations specific to disease states. For example, uniquely in gastritis, Helicobacteraceae is highly correlated with the expression of <em>FAM3D</em>, which has been previously implicated in gastrointestinal inflammation. Additionally, in gastric cancer but not in adjacent gastritis, Lachnospiraceae is highly correlated with the expression of <em>UBD</em>, which regulates mitosis and cell cycle time. Furthermore, lower abundances of B cells in gastric cancer compared to gastritis may suggest a previously unidentified immune evasion process in gastric carcinogenesis. Our integrative analysis provides the most comprehensive description of microbial, host transcriptomic, and immune cell factors of the gastric carcinogenesis pathway.</p>
Raw data for the article: Successful Use of Heterologous CMV-Reactive T Lymphocyte to Treat Severe Refractory Cytomegalovirus (CMV) Infection in a Liver Transplanted Patient: Correlation of the Host Antiviral Immune Reconstitution with CMV Viral Load and CMV miRNome
<p>Cytomegalovirus (CMV) infection is the most significant viral infection in hosts with compromised immune systems as solid organ transplant patients. Despite significant progress being made in the prevention of CMV disease in these patients, further therapeutic strategies for CMV disease and for the CMV reactivation prevention are needed. Here, we describe the outcome of the infusion of in vitro expanded CMV-reactive T-cells, taken from a healthy CMV-seropositive donor, in a liver-transplanted recipient with a refractory recurrent CMV. In this particular case, adoptive transfer of allogenic CMV-reactive T-lymphocytes resulted in the clearance of CMV infection and resolution of the pathological manifestations of the patient. In the study we also investigated circulating miRNAs, both cellular and viral, as potential biomarkers during the course of CMV infection. The results indicate that the infusion of allogenic CMV-reactive T-cells can be an effective strategy to treat CMV infection recurrence when the generation of autologous virus specific T cell clones is not possible.</p>
SingleCellExperiment Object MIS-C data (Hoste et al., 2022)
<p>Data from https://rupress.org/jem/article/219/2/e20211381/212918/TIM3-TRBV11-2-T-cells-and-IFN-signature-in</p> <p> </p>
Data from: Parasite-driven cascades or hydra effects: susceptibility and foraging depression shape parasite-host-resource interactions
<p>This contains data for the manuscript listed in the title.<br><br>We measured the foraging rates of individual zooplankton hosts, <em>Daphnia dentifera</em>, on phytoplankton resources, <em>Ankistrodesmus falcatus</em>, in the presence of fungal parasites of zooplankton, <em>Metschnikowia bicuspidata</em>. Some of these data are previously published (Genotypes12_foraging.csv by Strauss, Alexander T., et al. "Genotypic variation in parasite avoidance behaviour and other mechanistic, nonlinear components of transmission." <em>Proceedings of the Royal Society B</em> 286.1915 (2019): 20192164.) and some are published now for the first time (Genotype3_foraging.csv).<br><br>In addition, we present novel evidence from a mesocosm experiment (Mesocosm_data1.csv-Mesocosm_data20.csv) of populations of each genotype or each pair of genotypes with phytoplankton resources and fungal parasites present or absent; our last treatment was low or high nutrient supply for the phytoplankton. With data on infection prevalence, host density, and phytoplankton density, we show how host traits and nutrients control outcomes for prevalence, host density, and phytoplankton density.<br><br>These data may be reused with appropriate citation.</p>
Data from: A role for the local environment in driving species-specific parasitism in a multi-host parasite system
<p>The extent and magnitude of parasitism often vary among closely related host species and across populations within species. Determining the ecological basis for this species and population-level variation in parasitism is critical for understanding infection dynamics in multi-host-parasite systems. To investigate such ecological underpinnings of variation in parasitism, we studied <em>Enallagma </em>damselflies host species and their water mite (<em>Arrenurus</em> spp.) ectoparasites in lakes.</p> <p>We first evaluated how host identity and density could shape parasitism. To test the effects of con- and heterospecific host density on parasitism, we used a field experiment with <em>E. basidens</em> and <em>E. signatum</em>. We found that parasitism did not vary with con- or heterospecific density and was determined by host identity alone, with no spillover effects.</p> <p>We also evaluated the potential role of local adaptation and resource availability in shaping parasitism. To do so, we used <em>E. signatum</em> in a reciprocal transplant experiment crossed with a prey resource level manipulation. This experiment revealed that parasitism declined sharply for one host population in its non-local lake, but not the other source population, with no effects of prey levels. This asymmetry implies that damselflies express enhanced defenses against parasitism that are not population specific nor dependent on resource abundance, or that mites developed heightened local host specificity.</p> <p>The results of multivariate modeling from an observational study generally supported these experimental findings: neither host density nor resource abundance strongly explained among population variation in parasitism. Instead, local abiotic conditions (pH) had the strongest relationship with parasitism, with minimal associations with predator density, temperature, and a measure of immune function.</p> <p>Collectively, our findings suggest a crucial role for the local environment in shaping host-parasite interactions within multi-host-parasite systems. More generally, these results show that research at the intersection of community ecology and disease ecology is critical for understanding host-parasite dynamics within natural communities.</p>
Data and code for Host and pathogen drivers of infection-induced changes in social aggregation behavior
<p>Raw data and R code </p> <p>DistanceInds.xlsx contains pairwise distances between pairs of flies, measured within groups of 12 every 30 mins for 4 hours post-infection with one of four bacterial pathogens, at either a low or high dose. </p> <p>NND-Boyle.csv contains nearest-neighbor distances between pairs of flies, measured within groups of 12 following infections with Pseudomonas entomophila. </p>
Data for: The visual ecology of selective predation: Are unhealthy hosts less stealthy hosts?
<p>Predators can strongly influence disease transmission and evolution, particularly when they prey selectively on infected hosts. Although selective predation has been observed in numerous systems, why predators select infected prey remains poorly understood. Here, we use a mathematical model of predator vision to test a longstanding hypothesis about the mechanistic basis of selective predation in a <em>Daphnia</em>-microparasite system, which serves as a model for the ecology and evolution of infectious diseases. Bluegill sunfish feed selectively on <em>Daphnia</em> infected by a variety of parasites, particularly in water uncolored by dissolved organic carbon. The leading hypothesis for selective predation in this system is that infection-induced changes in the transparency of <em>Daphnia</em> render them more visible to bluegill. Rigorously evaluating this hypothesis requires that we quantify the effect of infection on the visibility of prey from the predator's perspective, rather than our own. Using a model of the bluegill visual system, we show that three common parasites, <em>Metschnikowia bicuspidata</em>, <em>Pasteuria ramosa</em> and <em>Spirobacillus cienkowskii</em>, decrease the transparency of <em>Daphnia</em>, rendering infected <em>Daphnia</em> darker against a background of downwelling light. As a result of this increased brightness contrast, bluegill can see infected <em>Daphnia</em> at greater distances than uninfected <em>Daphnia</em> - between 19-33% further, depending on the parasite. <em>Pasteuria</em> and <em>Spirobacillus</em> also increase the chromatic contrast of <em>Daphnia</em>. These findings lend support to the hypothesis that selective predation by fish on infected <em>Daphnia</em> could result from the effects of infection on <em>Daphnia</em>'s visibility. However, contrary to expectations, the visibility of <em>Daphnia</em> was not strongly impacted by water color in our model. Our work demonstrates that models of animal visual systems can be useful in understanding ecological interactions that impact disease transmission.</p>
Data and code from: Mixed infection, risk projection and misdirection: Interactions among pathogens alter links between host resources and disease
<p>A growing body of literature links resources of hosts to their risk of infectious disease. Yet most hosts encounter multiple pathogens, and projections of disease risk based on resource availability could be fundamentally wrong if they do not account for interactions among pathogens within hosts. Here, we measured infection risk of grass hosts (<i>Avena sativa</i>) exposed to three naturally-co-occurring viruses either singly or jointly (barley and cereal yellow dwarf viruses [B/CYDVs]: CYDV-RPV, BYDV-PAV, and BYDV-SGV) along experimental gradients of nitrogen and phosphorus supply. We asked whether disease risk (i.e., infection prevalence) differed in single versus co-inoculations, and whether these differences varied with rates and ratios of nitrogen and phosphorus supply. In single inoculations, the viruses did not respond strongly to nitrogen or phosphorus. However, in co-inoculations, we detected illustrative cases of 1) resource-dependent antagonism (RPV with increasing N; possibly due to competition), 2) resource-dependent facilitation (SGV with decreasing N:P; possibly due to immunosuppression), and 3) weak or no interactions within hosts (for PAV). Together, these within-host interactions created emergent patterns for co-inoculated hosts, with both infection prevalence and viral richness increasing with the combination of low nitrogen and high phosphorus supply. We demonstrate that knowledge of multiple pathogens is essential for predicting disease risk from host resources, and that projections of risk that fail to acknowledge resource-dependent interactions within hosts could be qualitatively wrong. Expansions of theory from community ecology theory may help anticipate such relationships linking host resources to diverse pathogen communities.</p>
Pre-processed data for "Does host plant drive variation in microbial gut communities in a recently shifted pest?"
<p>Pre-processed fastqs files generated by Illumina sequencing associated with the publication by Javal et al. entitled "Does host plant drive variation in microbial gut communities in a recently shifted pest?".</p>
Data from: Bighorn sheep show similar in-host responses to the same pathogen strain in two contrasting environments
<p>Ecological context – the biotic and abiotic environment, along with its influence on population mixing dynamics and individual susceptibility – are thought to have major bearing on epidemic outcomes. However, direct comparisons of disease events in contrasting ecological contexts in wildlife systems are often confounded by concurrent differences in host genetics, exposure histories, or pathogen strains. Here, we compare disease dynamics of a <em>Mycoplasma ovipneumoniae</em> spillover event that affected bighorn sheep populations in two contrasting ecological contexts. One event occurred on the herd's home range near the Rio Grande Gorge in New Mexico, while the other occurred in a captive facility at Hardware Ranch in Utah. While data collection regimens varied between the two sites, general patterns of antibody signal strength and symptom emergence were consistent. Symptoms appeared in the captive setting an average of 12.9 days post-exposure, average time to seroconversion was 24.9 days, and clinical signs peaked at approximately 36 days post-infection. These patterns were consistent with serological testing and subsequent declines in symptom intensity in the free-ranging herd. At the captive site, older animals exhibited more severe declines in body condition and loin thickness, higher symptom burdens, and slower antibody response to the pathogen than younger animals.<span class="Apple-converted-space"> </span>Younger animals were more likely than older animals to clear infection by the time of sampling at both sites. The patterns presented here suggest that environment may not be a major determinant of epidemiological outcomes in the bighorn sheep - <em>M. ovipneumoniae</em> system, elevating the possibility that host- or pathogen-factors may be responsible for observed variation.</p>
Data from: Fishes alleviate the impacts of sediments on host corals
<p>Mutualisms play a critical role in ecological communities, however the importance and prevalence of mutualistic associations can be modified by external stressors. On coral reefs, elevated sediments are a major stressor, reducing the health of corals and damaging reef resilience. Here, we investigated the influence of sediment stress on the mutualistic relationship between small damselfishes (Dascyllus aruanus and Pomacentrus moluccensis) and their coral host (Pocillopora damicornis). In an aquaria experiment, corals were exposed to sedimentation rates of ~100 mg cm-2 day-1, with and without symbiont fish to test whether: (1) fishes influence the accumulation of sediments on coral hosts, and (2) fishes moderate partial colony mortality and/or condition. Colonies with fishes accumulated much less sediment compared to colonies without fishes, and this effect was strongest for colonies with D. aruanus (five-fold less sediment than controls) as opposed to P. moluccensis (two-fold less sediment than controls). Colonies with symbiont fishes also had up to 10-fold less sediment-induced partial mortality, as well as higher chlorophyll and protein concentrations. These results demonstrate that fish mutualisms vary in the strength of their benefits and indicates that some mutualistic or facilitative interactions might become more important for species health and resilience as stress levels increase.</p>
Supporting data and code for: Host plant and insecticides shape the evolution of genetic and clonal diversity in a major aphid crop pest
<p>This is the first release of the final data and code for the article accepted for publication in <em>Evolutionary Applications</em> journal. It contains the necessary scripts to produce most of the analyses and figures of the manuscript. All the necessary data can be found in the 'data' folder.</p>
Data from: Comparative host-pathogen associations of Snake Fungal Disease in sympatric species of water snakes (Nerodia)
<p>The ascomycete fungus <em>Ophidiomyces ophiodiicola</em> (<em>Oo</em>) is the causative agent of ophidiomycosis (Snake Fungal Disease), which has been detected globally. However, surveillance efforts in the central U.S., specifically Texas, have been minimal. The threatened and rare Brazos water snake (<em>Nerodia harteri harteri</em>) is one of the most range restricted snakes in the U.S. and is sympatric with two wide-ranging congeners, <em>N. erythrogaster transversa</em> and <em>N. rhombifer</em>, in north central Texas; thus, providing an opportunity to test comparative host-pathogen associations in this system. To accomplish this, we surveyed a portion of the Brazos river drainage (~400 river km) over 29 months and tested 150 Nerodia individuals for the presence of <em>Oo </em>via quantitative PCR and recorded any potential signs of <em>Oo </em>infection. We found <em>Oo </em>was distributed across the entire range of <em>N. h. harteri,</em> <em>Oo</em> prevalence was 46% overall, and there was a significant association between <em>Oo </em>occurrence and signs of infection in our sample. Models indicated adults had a higher probability of <em>Oo </em>infection than juveniles and subadults, and adult <em>N. h. harteri</em> had a higher probability of infection than adult <em>N. rhombifer</em> but not higher than adult <em>N. e. transversa</em>. High <em>Oo </em>prevalence estimates (94.4%) in adult <em>N. h. harteri </em>has implications for their conservation and management owing to their patchy distribution, comparatively low genetic diversity, and threats from anthropogenic habitat modification.</p>
Proccessed Data for the Pipelines of the Project "Multiomics and quantitative modelling disentangle diet, host, and microbiota contributions to the host metabolome"
<p><strong>Proccessed and Input Data for the Pipelines of the Project "Multiomics and quantitative modelling disentangle diet, host, and microbiota contributions to the host metabolome"</strong></p> <p>-----------------------------------------------------------------------------------------------------</p> <p>Contents:</p> <p>-----------------------------------------------------------------------------------------------------</p> <p>Folder /ProcessedData/metabolomics/ contains processed metabolomics data from the project:</p> <p>/metabolomics/metabolites_allions_combined_norm_intensity.csv - file containing normalized intensities of ions detected across tissues with six measurement methods.<br> /metabolomics/metabolites_allions_combined_formulas_with_metabolite_filters_spatial100clusters_with_mean.csv - file containing metabolite attribution to spatial clusters and mean intensity values across tissues and conditions.</p> <p>Other files are described in README_ProcessedData.md.</p> <p>-----------------------------------------------------------------------------------------------------</p> <p>Folder /ProcessedData/sequencing/ contains raw and normalized counts of metagenomics and metatransriptomics data mapped to bacterial genomes.</p> <p>Folder /ProccessedData/util/ contains files used for data preprocessing and attribution to chemical classes and pathways.</p> <p>Folder /ProcessedData/example_output/ contains example output of the pipelines:</p> <p>/output/model_results_SMOOTH_raw_2LIcoefHost1LIcoefbact_allions.csv - file containing estimated model parameters (intestinal flux and metabolic flux values) for the forward problem for metabolomics measurements in the GIT.<br> /output/model_results_SMOOTH_normbyabsmax_reciprocal_problem_allions.csv - file containing estimated model parameters for the reverse problem (metabolite intensities) for the parameters estimated with the forward problem.<br> /output/model_results_SMOOTH_normbyabsmax_2LIcoefHost1LIcoefbact_allions.csv - file containing estimated model parameters (intestinal flux and metabolic flux values) for the forward problem for metabolomics measurements in the GIT, normalized by absolute maximum value.<br> /output/model_results_SMOOTH_normbyabsmax_ONLYMETCOEF_2LIcoefHost1LIcoefbact_allions.csv - file containing estimated model parameters (only metabolic flux values) for the forward problem for metabolomics measurements in the GIT, normalized by absolute maximum value.<br> /output/table_hierarchical_clustering_groups.csv - file containing attribution of the annotated metabolites to groups according to hierarchical clustering of the normalized model parameters.<br> /output/cgo_clustergrams_of_model_coefficients.mat - matlab object containing clustergram of the normalized model parameters and manually derived sub-clustergrams corresponding to different largest parameter values.</p> <p>Description of other files is provided in the file README_ProcessedData.md.</p> <p>-----------------------------------------------------------------------------------------------------</p> <p>Folder /InputData/ contains HMDB and KEGG tables used for metabolite annotations and chemical group analysis.</p> <p>Folder InputData_KEGGreaction_path contains matlab files with metabolite-metabolite paths calculated from KEGG reaction-pair information (Each matrix contains a subset of paths). These files are used by the script workflow_extract_keggECpathes_for_SPpairs_final.m.</p> <p>Folder InputData_metabolomics_data contains raw metabolomics data from six methods (three LC columns: C08, C18 and HILIC, and positive and negative acquisition modes) and file tissue_weights.txt with tissue weight information used for normalization.</p> <p>Folder InputData_sequencing_data contains folders ballgown_DNA and ballgown_RNA with results of metagenomic and metatranscriptomic data analysis (raw counts, GetMM normalized counts, EdgeR and DeSeq2 analysis). </p> <p>Description of folders is provided in the file readme_InputData.md.</p> <p>-----------------------------------------------------------------------------------------------------</p>
Data from: Climatic stress decreases tick survival but increases rate of host-seeking behavior
<p>Ticks are vectors of many diseases and are expanding in geographic distribution. However, how ticks will fare in their new environments where they may experience stressful climatic conditions at the expansion front remains unclear. Since there is a trade-off in ticks between behaviors that promote longevity and behaviors that promote reproduction, we hypothesized that extreme climatic stress reduces the survivorship of ticks but increases the frequency of tick host-seeking behavior or questing. Here, we used a novel method to simulate climatic stress on individual ticks of three species – Amblyomma americanum, Dermacentor variabilis, and Ixodes scapularis – to evaluate their survival, physiology, and questing behavior. The first experiment involved placing 144 adult ticks of each species in two temperature ranges (15-25 °C and 25-35 °C) and three relative humidity treatments (32% RH, 58% RH, and 84% RH). We assessed the ticks daily for survivorship and questing, and we measured water loss by comparing the mass of each tick when it died to when it was fully hydrated. In this first experiment, ticks in warmer and less humid conditions generally died faster than in cooler and more humid conditions. Ticks of all three species were more likely to quest shortly before their death and consistently died after losing approximately 50-56% of total body water content, but Ixodes reached that threshold much faster than the other two species. The second experiment involved placing 18 ticks of each species at 35 °C and 32% RH. We assessed the ticks every three hours for survivorship, questing, and water loss. Ticks again were more likely to quest shortly before their death. With frequent checks, we were able to measure the dehydration tolerance more accurately and the rate of water loss. Ticks of all three species consistently died after losing approximately 51% of total body water content. However, Ixodes lost water approximately 5× faster than Amblyomma and 11× faster than Dermacentor. These results demonstrate that severe climatic stress tilts the trade-off toward higher questing rates, but not higher overall questing time because of reduced survival rates. Further investigations of ticks' behavioral and physiological responses to abiotic stress are necessary to develop robust models of how climate change will affect the transmission of tick-borne diseases.</p>
Supplementary data for article "Reduced B-cell antigenicity of Omicron lowers host serologic response"
<p>This repository contains five supplementary data files for the research article "<strong>Reduced B-cell antigenicity of Omicron lowers host serologic response</strong>". For more information, please refer to the article preprint https://doi.org/10.1101/2022.02.15.480546 and upcoming article at Cell Reports.</p> <p> </p> <ol> <li><strong>Table_hCoV229E.xlsx:</strong> list of hCoV229E RBD sequences, with associated isolate and collection date identifiers, and ScanNet antigenicity score for reproducing <strong>Figure 3A</strong>. Aligned sequences and templates are also provided.</li> <li><strong>table_artificial_variants.csv</strong>: List of artificial RBD sequences generated by an evolutionary-based sequence generative model for reproducing <strong>Figure 3B</strong>, <strong>Supplementary Figure S6H</strong>.</li> <li><strong>MSA_RBD.fasta:</strong> Multiple Sequence Alignment of RBD sequences and sample weights used for training the sequence generative model used in <strong>Figure 3B</strong>, <strong>Supplementary Figures S2C, S6</strong>.</li> <li><strong>table_antibody_hit_rate_RBD.csv</strong>: Empirical epitope distribution for the RBD, as determined from the Protein Data Bank and raw data for <strong>Supplementary Figure S1</strong>).</li> <li><strong>RBD_virtual_DMS.xlsx</strong>: virtual Deep Mutational Scan performed with ScanNet and the sequence generative model shown in <strong>Supplementary Figure S2</strong>.</li> </ol> <p> </p> <p> </p>
Analysis code and data for "End-to-end study of the host galaxy and genealogy of GW170817 with BPASS"
<p>This folder contains the code and data required to reproduce all figures and values presented in the study titled "End-to-end study of the host galaxy and genealogy of GW170817 with BPASS". </p> <p>The running of the data analysis jupyter notebooks will require the installation of the python package "hoki" v1.7 and the download of the BPASS models that are already publically available. The README.md file contains all the information regarding the dependencies of this directory. </p> <p>Should you need assistance please email hfstevance@gmail.com</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.