Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
1,337
datasets available to search
ShareScore release 0.9.0
Dataset results
1,337 results for “genetic variations”
Genetic variation and phenotypic plasticity in circadian rhythms of an armed beetle, Gnatocerus cornutus (Tenebrionidae)
<p>Circadian rhythms, their free-running periods and strength of the rhythm are often used as indicators of biological clocks, and there is evidence that the free-running periods of circadian rhythm are not affected by environmental factors like temperature. However, there are few studies of environmental effects on the power of rhythms and it is not clear if temperature compensation is universal. Additionally, genetic variation and phenotypic plasticity in biological clocks are important for understanding the evolution of biological rhythm, but genetic and plastic effects are rarely investigated. Here, we used 18 isofemale lines (genotypes) of <i>Gnatocerus cornutus</i> to assess rhythms of locomotor activity, while also testing for temperature effects. We found that total activity and power of circadian rhythm were affected by interactions between sex and genotype or sex, genotype and temperature, so that while males tended to be more active and showed greater increases in activity, this effect varied across both genotypes and temperatures. The period of activity only varied by genotype and was thus independent of temperature. The complicated genotype-sex-environment interactions we recorded stress the importance of investigating circadian activity in more integrated ways.</p>
Climate associated genetic variation in Fagus sylvatica and potential responses to climate change in the French Alps
<p><span><span><span><span><span><span><span><span><span><span><span>Local adaptation patterns have been found in many plants and animals, highlighting the genetic heterogeneity of species along their range of distribution. In the next decades, global warming is predicted to induce a change in the selective pressures that drive this adaptive variation, forcing a reshuffling of the underlying adaptive allele distributions. For species with low dispersion capacity and long generation time such as trees, the rapidity of the change could imped the migration of beneficial alleles and lower their capacity to track the changing environment. Identifying the main selective pressures driving the adaptive genetic variation is thus necessary when investigating species capacity to respond to global warming. In this study, we investigate the adaptive landscape of <i>Fagus sylvatica</i> along a gradient of populations in the French Alps. Using a double digest restriction-site associated DNA (ddRAD) sequencing approach, we identified 7,000 SNPs from 570 individuals across 36 different sites. A redundancy analysis (RDA)-derived method allowed us to identify several SNPs that were strongly associated with climatic gradients; moreover, we defined the primary selective gradients along the natural populations of <i>F. sylvatica</i> in the Alps. Strong effects of elevation and humidity, which contrast north-western and south-eastern site, were found and were believed to be important drivers of genetic adaptation. Finally, simulations of future genetic landscapes that used these findings allowed identifying populations at risk for <i>F. sylvatica </i>in the Alps, which could be helpful for future management plans. </span></span></span></span></span></span></span></span></span></span></span></p>
QTL script and VCF files - GENETIC ARCHITECTURE OF FLOWERING-TIME VARIATION IN BRACHYPODIUM DISTACHYON
<p>Supplemental data for the article:</p> <p>GENETIC ARCHITECTURE OF FLOWERING-TIME VARIATION IN BRACHYPODIUM DISTACHYON (Woods et al., 2016).</p> <p>Supplemental data includes:</p> <ul> <li> <p>A folder named “Data”, which contains:</p> <ol> <li> <p><strong>Raw genotypic data</strong>. Data showing the parental genotype in a RIL population (F7; Bd21 X Bd1-1)</p> </li> <li> <p><strong>Raw phenotypic data</strong>. Flowering time (leaves and days to flowering) of the RIL population in different growth environments.</p> </li> <li> <p><strong>The genetic map </strong>(see material and methods section of Woods et al., 2016 for additional information).</p> </li> <li> <p><strong>Gene positions.</strong> A file containing the position of annotated genes on the Brachypodium distachyon genome V2.1. Data from Phytozome (https://phytozome.jgi.doe.gov/pz/portal.html).</p> </li> </ol> </li> <li> <p>The<strong> R script</strong> used for the QTL analysis (Final_script.R).</p> </li> <li> <p><strong>VCF files of the loci of interest</strong>. A folder called “VCF” includes the VCF files of the genes presented in Fig. 6 (VRN1, PHYC, VRN2, and FD). </p> </li> </ul> <p> </p>
Supplementary material: Machine learning and phylogenetic models identify predictors of genetic variation in Neotropical amphibians
<p><strong>Aim: </strong>Intraspecific genetic variation is key for adaptation and survival in changing environments and is known to be influenced by many factors, including population size, dispersal, and life history traits. We investigated genetic variation within Neotropical amphibian species to provide insights into how natural history traits, phylogenetic relatedness, climatic, and geographic characteristics can explain intraspecific genetic diversity.</p> <p><strong>Location:</strong> Neotropics.</p> <p><strong>Taxon:</strong> Amphibians.</p> <p><strong>Methods: </strong>We assembled datasets using open-access databases for natural history traits, genetic sequences, phylogenetic trees, climatic, and geographic data. For each species, we calculated overall nucleotide diversity (<em>π</em>) and tested for isolation by distance (IBD) and isolation by environment (IBE). We then identified predictors of <em>π</em>, IBD, and IBE using Random Forest (RF) regression or RF classification. We also fitted phylogenetic generalized linear mixed models (PGLMMs) to predict<em> π</em>, IBD, and IBE.</p> <p><strong>Results:</strong> We compiled 4,052 mitochondrial DNA sequences from 256 amphibian species (230 frogs and 26 salamanders), georeferencing 2,477 sequences from 176 species that were not linked to occurrence data. RF regressions and PGLMMs were congruent in identifying range size and precipitation (σ) as the most important predictors of <em>π</em>, influencing it positively. RF classification and PGLMMs identified minimum elevation as an important predictor of IBD; most species without IBD tended to occur at higher elevations. Maximum latitude and precipitation (σ) were the best predictors of IBE, and most species without IBE occur at lower latitudes and in areas with more variable precipitation.</p> <p><strong>Main conclusions: </strong>This study identified predictors of genetic variation in Neotropical amphibians using both machine learning and phylogenetic methods. This approach was valuable to determine which predictors were congruent between methods. We found that species with small ranges or living in zones with less variable precipitation tended to have low genetic diversity. We also showed that Western Mesoamerica, Andes, and Atlantic Forest biogeographic units harbor high diversity across many species that should be prioritized for protection. These results could play a key role in the development of conservation strategies for Neotropical amphibians.</p>
Data from: Distances and their visualization in studies of spatial-temporal genetic variation using single nucleotide polymorphisms (SNPs)
<p>Distance measures are widely used for examining genetic structure in datasets that comprise many individuals scored for a very large number of attributes. Genotype datasets composed of single nucleotide polymorphisms (SNPs) typically contain bi-allelic scores for tens of thousands if not hundreds of thousands of loci.</p> <p>We examine the application of distance measures to SNP genotypes and sequence tag presence-absences (SilicoDArT) and use real datasets and simulated data to illustrate pitfalls in the application of genetic distances and their visualization.</p> <p>The datasets used to illustrate points in the associated review are provided here together with the R script used to analyse the data. Data are either simulated internal to this script or are SNP data generated as part of other studies and included as compressed binary files readily accessable by reading into R using R base function readRDS(). Refer to the analysis script for examples.</p>
Data from: The impact of plant genetic variation, drought, and leaf nitrogen on plant-herbivore interactions
<p>Plant genotype, drought stress, and their interaction are among the factors contributing to the susceptibility of plants to herbivory. The plant's nitrogen concentration, a critical and often limiting nutrient, differs with plant genotype and drought. Still, few studies have investigated the impact of the interaction of genotype and drought on herbivory and plant nitrogen. We established a common garden in Duluth, MN, of tall goldenrod, <em>Solidago altissima,</em> collected from a local Minnesota site to analyze the effects of goldenrod genotype and drought stress on leaf nitrogen and the preference and performance of the chrysanthemum lace bug, <em>Corythucha marmorata</em>. Lace bugs had oviposition, nymph, and adult preferences among host plant genotypes, water treatments, and among genotype and water treatment combinations. Nymph and adult survival and adult mass varied significantly due to plant genotype, water treatment, the interaction of plant and water treatment, and the interaction of treatment with lace bug density. Oviposition preference and offspring performance were significantly positively related. Leaf nitrogen increased with the increasing severity of the water limitation in the absence of lace bugs. However, in the presence of lace bugs, there was no difference in nitrogen among water treatments.</p>
Data from: Vertically inherited microbiota and environment modifying behaviors conceal genetic variation in dung beetle life history
<p>Diverse organisms actively manipulate their (sym)biotic and physical environment in ways that feedback on their own development. However, the degree to which these processes affect microevolution remains poorly understood. The gazelle dung beetle both physically modifies its ontogenetic environment and structures its biotic interactions through vertical symbiont transmission. By experimentally eliminating i) physical environmental modifications, and ii) the vertical inheritance of microbes, we assess how environment modifying behavior and microbiome transmission shape heritable variation. We found that depriving larvae from symbionts and environment modifying behaviors increased additive genetic variance and heritability for development time but not body size. This suggests that larvae's ability to manipulate their environment has the potential to modify heritable variation and to facilitate the accumulation of cryptic genetic variation. This cryptic variation may become released and selectable when organisms encounter environments that alter the degree to which they can be manipulated. Furthermore, we found heritable variation for the response to the elimination of environmental modifications, indicating that genotypes differ in their dependence on the ability to manipulate their environment. Our findings highlight that the ability of organisms to actively manipulate their environment may affect the potential of populations to evolve when encountering novel, stressful conditions.</p>
Data and code for: Does the definition of a novel environment affect the ability to detect cryptic genetic variation?
<p>Anthropogenic change exposes populations to environments that have been rare or entirely absent from their evolutionary past. Such novel environments are hypothesised to release cryptic genetic variation, a hidden store of variance that can fuel evolution. However, support for this hypothesis is mixed. One possible reason is a lack of clarity in what is meant by 'novel environment', an umbrella term encompassing conditions with potentially contrasting effects on the exposure or concealment of cryptic variation. Here, we use a meta-analysis approach to investigate changes in the total genetic variance of multivariate traits in ancestral versus novel environments. To determine whether the definition of a novel environment could explain the mixed support for a release of cryptic genetic variation, we compared absolute novel environments, those not represented in a population's evolutionary past, to extreme novel environments, those involving frequency or magnitude changes to environments present in a population's ancestry. Despite sufficient statistical power, we detected no broadscale pattern of increased genetic variance in novel environments, finding the type of novel environment did not explain any significant variation in effect sizes. When effect sizes were partitioned by experimental design, we found increased genetic variation in studies based on broad-sense measures of variance, and decreased variation in narrow-sense studies, in support of previous research. Therefore, the source of genetic variance, not the definition of a novel environment, was key to understanding environment-dependant genetic variation, highlighting non-additive genetic variance as an important component of cryptic genetic variation and avenue for future research.</p>
Data from: Axes of multivariate sexual signal divergence among incipient species: concordance with selection, genetic variation, and phenotypic plasticity
<p>Sexual signaling traits are often observed to diverge rapidly among populations, thereby playing a potentially key early role in the evolution of reproductive isolation. While often assumed to reflect divergent sexual selection among populations, patterns of sexual trait diversification might sometimes be biased along axes of standing additive genetic variation and covariation among trait components. Additionally, theory predicts that environmentally-induced phenotypic variation might facilitate rapid trait evolution, suggesting that patterns of divergence between populations should mirror phenotypic plasticity within populations. Here we evaluate the concordance between observed axes of multivariate sexual trait divergence and predicted divergence based on (1) interpopulation variation in sexual selection, (2) additive genetic variances, and (3) temperature-related phenotypic plasticity in male courtship song among geographically isolated populations of the Hawaiian swordtail cricket, Laupala cerasina, which exhibit sexual isolation due sexual signaling traits. The major axis of multivariate divergence, dmax, accounted for 76% of variation among population male song trait means, and was moderately correlated with interpopulation differences in directional sexual selection based on female preferences. However, the majority of additive genetic variance was largely oriented away from the direction of divergence, suggesting that standing genetic variation may not play a dominant role in the patterning of signal divergence. In contrast, the axis of phenotypic plasticity strongly mirrored patterns of interpopulation phenotypic divergence, which is consistent with a role for temperature-related plasticity in facilitating instead of inhibiting male song evolution and sexual isolation in these incipient species. We propose potential mechanisms by which sexual selection might interact with phenotypic plasticity to facilitate the rapid acoustic diversification observed in this species and clade.</p>
Data from: Environment but not geography explains genetic variation in the invasive and largely panmictic European starling in North America
Populations of invasive species that colonize and spread in novel environments may differentiate both through demographic processes and local selection throughout the genome. European starlings (Sturnus vulgaris) were introduced to New York in 1890 and subsequently spread throughout North America, becoming one of the most widespread and numerous bird species on the continent. Genome-wide comparisons across starling individuals and populations can identify demographic and/or selective factors that facilitated this rapid and successful expansion. We investigated patterns of genomic diversity and differentiation using reduced-representation genome sequencing (ddRADseq) of 17 starling populations. Consistent with this species' high dispersal rates and rapid expansion history, we found low genome-wide differentiation and few FST outliers even at a continental scale. Despite starting from a founding population of approximately 180 individuals, North American starlings do not seem to have undergone a detectable genetic bottleneck: they have maintained an extremely large effective population size since introduction. We find more than 200 variants that correlate with temperature and/or precipitation. Genotype-environment associations (but not outlier scans) identify these SNPs against a background of negligible genome- and range-wide divergence. Such variants fall in the coding regions of genes associated with metabolism, stress, and neurological function. This evidence for incipient local adaptation in North American starlings suggests that it can evolve rapidly even in wide-ranging and evolutionarily young populations. This survey of genomic signatures of expansion in North American starlings is the most comprehensive to date and complements ongoing studies of world-wide local adaptation in these highly dispersive and invasive birds.
The population genetics of adaptation through copy-number variation in a fungal plant pathogen
<p>Supplementary Tables S1-S8 for the manuscript "The population genetics of adaptation through copy-number variation in a fungal plant pathogen"</p>
Concordant patterns of morphological, stable isotope, and genetic variation in a recent ecological radiation (Salmonidae:Coregonus spp.)
<p>Groups of sympatric taxa with low inter-specific genetic differentiation, but considerable ecological differences, offer great opportunities to study the dynamics of divergence and speciation. This is the case of ciscoes (<em>Coregonus</em> spp.) in the Laurentian Great Lakes, which are characterized by a complex evolutionary history and are commonly described as having undergone an adaptive radiation. In this study, morphometrics, stable isotopes and transcriptome sequencing were used to study the relationships within the <em>Coregonus artedi</em> complex in western Lake Superior. We observed general concordance for morphological, ecological and genomic variation, but the latter was more taxonomically informative as it showed less overlap among species in multivariate space. Low levels of genetic differentiation were observed between individuals morphologically identified as <em>C. hoyi</em> and <em>C. zenithicus</em>, which could be evidence of incomplete lineage sorting or recent hybridization between the two groups. Transcriptome-based single nucleotide polymorphisms exhibited significant divergence for genes associated with vision, development, metabolism and immunity among species that occupy different habitats. This study highlights the importance of using an integrative approach when studying groups of taxa with a complex evolutionary history, as individual-level analyses of multiple independent datasets can provide a clearer picture of the patterns and processes associated with the origins of biodiversity.</p>
The combined impact of persistent infections and human genetic variation on C-reactive protein levels
<p>GWAS summary statistics for high-sensitive C-reactive protein (hsCRP) levels, and list of the 1809 SNPs included in the hsCRP polygenic risk score (CRP-PRS) calculation. </p>
Genomic evidence that a sexually selected trait captures genome-wide variation and facilitates the purging of genetic load
<p><span>The evolution of costly traits like deer antlers and peacock trains, which drove the formation of Darwinian sexual selection theory, has been hypothesised to both reflect and affect patterns of genetic variance across the genome, but direct tests are missing. Here, we used an evolve and re-sequence approach to reveal patterns of genome-wide diversity associated with the expression of a sexually-selected weapon that is dimorphic among males of the bulb mite,</span> <em>Rhizoglyphus robini</em><span>. Populations selected for the weapon </span>showed reduced genome-wide diversity compared to populations selected against the weapon, particularly in terms of the number of segregating non-synonymous positions, indicating enhanced purifying selection. <span>This increased purifying selection reduced inbreeding depression, but outbred female fitness did not improve, possibly because any benefits were offset by increased sexual antagonism. </span>The majority of single nucleotide polymorphisms (SNPs) that consistently diverged in response to selection were initially rare and overrepresented in exons, and enriched in regions under balancing or relaxed selection, suggesting they are likely moderately deleterious variants. These diverged SNPs were scattered across the genome, <span>further demonstrating that selection for or against the weapon and the associated changes to the mating system can both capture and influence genome-wide variation. </span></p>
Benefit of introgression depends on genetic variation in cereal breeding programs
<p class="MsoBodyText"><span>We investigated the benefit from introgression of external lines into a cereal breeding program and strategies that accelerated introgression of the favourable alleles while minimising linkage drag using stochastic computer simulation. We simulated genomic selection for disease resistance and grain yield in two environments with a high level of genotype-by-environment (G×E) for the latter trait, using genomic data of a historical barley breeding program as the base generation. Two populations (existing and external) were created from this base population with different allele frequencies for few (N=10) major and many (N~990) minor simulated disease quantitative trait loci (QTL). The major disease QTL only existed in the external population and lines from the external population were introgressed into the existing population which had minor disease QTL with low, medium, and high allele frequencies. The study revealed that the benefit of introgression depended on the level of genetic variation for the target trait in the existing cereal breeding program. Introgression of external resources into the existing population was beneficial only when the existing population lacked variation in disease resistance or when minor disease QTL were already at medium or high frequency. When minor disease QTL were at low frequencies, no extra genetic gain was achieved from introgression. More benefit in the disease trait was obtained from the introgression if the major disease QTL had larger effect sizes, more selection emphasis was applied on disease resistance, or more external lines were introgressed. While our strategies to increase introgression of major disease QTL were generally successful, most were not able to completely avoid negative impacts on selection for grain yield with the only exception being when major introgression QTL effects were very large. Breeding programs are advised to carefully consider the level of genetic variation in a trait available in their breeding program before deciding to introgress germplasms.</span></p>
Study of the genetic and phenotypic variation among wild and cultivated clary sages provides interesting avenues for breeding programs of a perfume, medicinal and aromatic plant
<p>A road-map of the genetic and phenotypic diversities in both crops and their wild-related species can help identifying valuable genetic resources for further crop breeding. The clary sage (<em>Salvia sclarea L.</em>), a perfume, medicinal and aromatic plant, is used for sclareol production and ornamental purposes. Despite its wide use in the field of cosmetics, the phenotypic and genetic diversity of wild and cultivated clary sage remains to be explored. We characterized the genetic and phenotypic variation of a collection of six wild <em>S. sclarea</em> populations from Croatia, sampled along an altitudinal gradient, and of populations of three <em>S. sclarea</em> cultivars. We showed low level of genetic diversity for the two <em>S. sclarea</em> traditional cultivars used for essential oil production and for ornamental purposes, respectively. In contrast, a recent cultivar resulting from new breeding methods, which involve hybridizations among several genotypes rather than traditional recurrent selection and self-crosses over time, showed high genetic diversity. We also observed a marked phenotypic differentiation for the ornamental clary sage compared with other cultivated and wild clary sages. Instead, the two cultivars used for essential oil production, a traditional and a recent, respectively, were not phenotypically differentiated from the wild Croatian populations. Our results also featured some wild populations with high sclareol content and early-flowering phenotypes as good candidates for future breeding programs. This study opens up perspectives for basic research aiming at understanding the impact of breeding methods on clary sage evolution, and highlights interesting avenues for clary breeding programs.</p>
Sex-biased admixture and assortative mating shape genetic variation and influence demographic inference in admixed Cabo Verdeans
<p>Inferred ROH and IBD calls from Korunes et al (2022). bioRxiv DOI: https://doi.org/10.1101/2020.12.14.422766</p> <p>Samples originally collected and analyzed in Beleza et al. 2013, PLoS Genetics. Inferred local ancestry information can be found at <a href="https://doi.org/10.5281/zenodo.4021277">https://doi.org/10.5281/zenodo.4021277</a></p> <p>See README.txt in upload for more detailed information.</p>
Data from: A century of genetic variation inferred from a persistent soil-stored seed bank
Stratigraphic accretion of dormant propagules in soil can result in natural archives useful for studying ecological and evolutionary responses to environmental change. Few attempts have been made, however, to use soil-stored seed banks as natural archives, in part because of concerns over non-random attrition and mixed stratification. Here we examine the persistent seed bank of Schoenoplectus americanus, a foundational brackish marsh sedge, to determine whether it can serve as a resource for reconstructing historical records of demographic and population genetic variation. After assembling profiles of the seed bank from radionuclide dated soil cores, we germinated seeds to 'resurrect' cohorts spanning the 20th century. Using microsatellite markers, we assessed genetic diversity and differentiation among depth cohorts, drawing comparisons to extant plants at the study site and in nearby and more distant marshes. We found that seed density peaked at intermediate soil depths. We also detected genotypic differences among cohorts as well as between cohorts and extant plants. Genetic diversity did not decline with depth, indicating that the observed pattern of differentiation is not due to attrition. Patterns of differentiation within and among extant marshes also suggest that local populations persist as aggregates of small clones, likely reflecting repeated seedling recruitment and low immigration from admixed regional gene pools. These findings indicate that persistent and stratified soil-stored seed banks merit further consideration as resources for reconstructing decadal-to-century long records that can lend insight into the tempo and nature of ecological and evolutionary processes that shape populations over time.
Genetic variation data to explore the phylogeny of Iberian weedy rice
<p>Weedy rice, a damaging conspecific weed of cultivated rice, has arisen multiple times independently around the world. Understanding all weedy rice origins is necessary to create more effective weed management strategies. The origins of weedy rice in Spain and Portugal, where there are no native <em>Oryza</em> species are unknown. We used genotyping-by-sequencing (GBS) to understand the origin of Iberian weedy rice and its relationship to other weedy, wild, and cultivated rice groups worldwide. This is the variant call format (vcf) file for all 481 accessions including weedy, wild, and cultivated rice. We used this dataset to understand the phylogenetic relationships and population structure among these different populations, especially the Iberian weedy rice. We find that weedy rice in the Iberian Peninsula has primarily evolved through de-domestication of <em>temperate japonica</em> cultivars, with minor origins from exotic weedy rice.</p>
Phenotypic plasticity contributes more to the variations in nutrient resorption than genetic differentiation in a grassland dominant
<p class="MsoNormal"><span>1. P</span><span>henotypic plasticity and genetic differentiation are the two important processes determining the leaf nutrient resorption among and within plant species, which is critical for understanding the adaptability of plants</span><span>.</span><span> However, relative contributions of <span>these two processes</span> have never been quantified at a large geographical scale. </span></p> <p class="MsoNormal"><span>2. Here, we investigated intraspecific variations in nutrient resorption among 14 <em>Stipa breviflora</em> populations along a latitude gradient in 2018 and 2019. Furthermore, we sow seeds from these populations in two common gardens at different latitudes, and</span><span> </span><span>examined the variations in nutrient resorption. </span></p> <p class="MsoNormal"><span>3. Our results showed that nitrogen and phosphorus resorption efficiency (NRE and PRE)<span> among </span><em>S. breviflora </em>populations<span> </span><span>in nature were positively related to latitude, while this trend disappeared in the common gardens. </span>The heritability of <span>NRE and PRE was 11.45 % and 16.78 %, respectively. These results suggested that</span> phenotypic plasticity contributed much more than genetic variation to nutrient resorption of <em>S. breviflora</em>.<span> </span>Moreover, <span>the structural equation modeling (SEM) suggested that latitude indirectly affected </span>nutrient resorption mainly by altering soil nutrients. With the increasing of latitude, soil nutrients decreased while nutrient resorption increased<span>. This suggested</span> <a name="_Hlk78556987"></a><span>the main process regulating nutrient resorption is negative feedback to soil nutrient availability. </span></span></p> <p class="MsoNormal"><span>4. </span><span>Our study provides new insights into the role of nutrient resorption in plant adaptations to geographic variations.</span></p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.