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”
Can disease resistance evolve independently at different ages? Genetic variation in age-dependent resistance to disease in three wild plant species
Open the record for dataset details and reuse information.
Interaction of Genetic Variations in NFE2L2 and SELENOS Modulates the Risk of Hashimoto's Thyroiditis
<p>This is a dataset for the following paper: doi: 10.1089/thy.2018.0480. PMID: 31426718</p> <p>Each book in the excel file refers to the paper's figure panel specified.</p> <p>For more info do not hesitate to contact me directly at gerasimos.sykiotis@chuv.ch</p>
Rare and common genetic variations in the Keap1/Nrf2 antioxidant response pathway impact thyroglobulin gene expression and circulating levels, respectively
<p>This is about publication PMID: 31421134, DOI: 10.1016/j.bcp.2019.08.007</p> <p>Each book in the excel file indicates the figure number it refers to.</p> <p>The file is about the relative luciferase units used in Figure 2 of main paper. </p> <p>Values are relative to WT1_C relative luciferase units <br> </p>
Data from: Hurricanes overcome migration lag and shape intraspecific genetic variation beyond a poleward mangrove range limit
<p>Expansion of many tree species lags behind climate-change projections. Extreme storms can rapidly overcome this lag, especially for coastal species, but how will storm-driven expansion shape intraspecific genetic variation? Do storms provide recruits only from the nearest sources, or from more distant sources? Answers to these questions have ecological and evolutionary implications, but empirical evidence is absent from the literature. Hurricane Irma provided an opportunity to address this knowledge gap at the northern range limit of the neotropical black mangrove (<i>Avicennia germinans</i>) on the Atlantic coast of Florida, USA. We observed massive post-hurricane increases in beach-stranded <i>A. germinans</i> propagules at, and past, this species' present-day range margin when compared to a previously-surveyed, non-hurricane year. Yet, propagule dispersal does not guarantee subsequent establishment and reproductive success (i.e., effective dispersal). We also evaluated prior effective dispersal along this coastline with isolated <i>A. germinans</i> trees identified beyond the most northern established population. We used 12 nuclear microsatellite loci to genotype hurricane-driven drift propagules from nine sites (n = 896 propagules) and isolated trees from four sites (n = 10 trees), determined their sources of origin, and estimated dispersal distances. Almost all drift propagules and all isolated trees came from the nearest sources. This research suggests that hurricanes are a prerequisite for poleward range expansion of a coastal tree species and that storms can shape the expanding gene pool by providing almost exclusively range-margin genotypes. These insights and empirical estimates of hurricane-driven dispersal distances should improve our ability to forecast distributional shifts of coastal species.</p>
Loss of ecologically important genetic variation in late generation hybrids reveals links between adaptation and speciation
Adaptation to contrasting environments occurs when advantageous alleles accumulate in each population, but it remains largely unknown whether these same advantageous alleles create genetic incompatibilities that can cause intrinsic reproductive isolation leading to speciation. Identifying alleles that underlie both adaptation and reproductive isolation is further complicated by factors such as dominance and genetic interactions among loci, which can affect both processes differently and obscure potential links between adaptation and speciation. Here, we use a combination of field and glasshouse experiments to explore the connection between adaptation and speciation while accounting for dominance and genetic interactions. We created a hybrid population with equal contributions from four contrasting ecotypes of Senecio lautus (Asteraceae), which produced hybrid genomes both before (F1 hybrid generation) and after (F4 hybrid generation) recombination among the parental ecotypes. In the glasshouse, plants in the second generation (F2 hybrid generation) showed reduced fitness as a loss of fertility, but fertility was recovered in subsequent generations suggesting that genetic variation underlying fertility reduction was lost in subsequent generations. To quantify the effects of losing genetic variation at the F2 generation on the fitness of later generation hybrids, we used a reciprocal transplant to test for fitness differences between parental ecotypes, and F1 and F4 hybrids in all four parental habitats. Compared to the parental ecotypes and F1 hybrids, variance in F4 hybrid fitness was lower, and lowest in habitats that showed stronger native-ecotype advantage, suggesting that stronger natural selection for the native ecotype reduced fitness variation in the F4 hybrids. Fitness trade-offs that were present in the parental ecotypes and F1 hybrids were absent in the F4 hybrid. Together, these results suggest that the genetic variation lost after the F2 generation was likely associated with both adaptation and intrinsic reproductive isolation among populations adapted to contrasting environments.
Data from: Disentangling the effects of geographic peripherality and habitat suitability on neutral and adaptive genetic variation in Swiss stone pine
<p><span><span><span><span><span><span><span><span><span><span><span>It is generally accepted that the spatial distribution of neutral genetic diversity within a species' native range mostly depends on effective population size, demographic history, and geographic position. However, it is unclear how genetic diversity at adaptive loci correlates with geographic peripherality or with habitat suitability within the ecological niche. Using exome-wide genomic data and distribution maps of the Alpine range, we first tested whether geographic peripherality correlates with four measures of population genetic diversity at >17,000 SNP loci in 24 Alpine populations (480 individuals) of Swiss stone pine (<i>Pinus cembra</i>) from Switzerland. To distinguish between neutral and adaptive SNP sets, we used four approaches (two gene diversity estimates, <i>F</i><sub>ST</sub> outlier test, and environmental association analysis) that search for signatures of selection. Second, we established ecological niche models for <i>P. cembra</i> in the study range and investigated how habitat suitability correlates with genetic diversity at neutral and adaptive loci. All estimates of neutral genetic diversity decreased with geographic peripherality, but were uncorrelated with habitat suitability. However, heterozygosity (<i>H</i><sub>e</sub>) at adaptive loci based on Tajima's <i>D</i> declined significantly with increasingly suitable conditions. No other diversity estimates at adaptive loci were correlated with habitat suitability. Our findings suggest that populations at the edge of a species' geographic distribution harbour limited neutral genetic diversity due to demographic properties. Moreover, we argue that populations from suitable habitats went through strong selection processes, are thus well adapted to local conditions, and therefore exhibit reduced genetic diversity at adaptive loci compared to populations at niche margins.</span></span></span></span></span></span></span></span></span></span></span></p>
The influence of human genetic variation on Epstein-Barr virus sequence diversity
<p>This project is the first attempt to apply a "genome-to-genome" approach to investigate the impact of the host genetic pressure on the genome of a member of the <em>Herpesviridae</em> family. Namely, 285 pairs of human and EBV genomes were sequenced and multiple GWASes between human and EBV variations were performed. This repository contains the results of downstream analysis on the pathogen-side. The variant calling data was produced from read alignment using BWA mem using GATK HC, SNVer, VarScan2, BCFtools, freebayes and the intersection of the sets of variation from the first three.</p> <ul> <li><strong>The "covstats" files</strong> contains statistics about the read alignment.</li> <li><strong>The tarball SHCS_EBV_variant_call.tar.gz</strong> contains all compressed VCF files.</li> <li><strong>The tarball SHCS_EBV_variant_matrices_stats.tar.gz</strong> contains all matrices used as traits in the GWASes, as well as a variety of statistics.</li> </ul> <p>The pipeline used to generate this data is publically available here: <a href="https://gitlab.com/ezlab/vir_var_calling/">https://gitlab.com/ezlab/vir_var_calling/</a></p>
A chromosome-scale reference genome and genome-wide genetic variations elucidate adaptation in yak
<p>Yak is an important livestock for the people who lived in harsh and oxygen-deprived Qinghai-Tibetan Plateau and Hindu-Kush Himalayan Mountains. Although there is a yak genome be sequenced in 2012, the assembly is quite fragmented due to the limitation of Illumina sequencing technology. An accurate and complete reference genome is critical for studying genetic variation of a specie. Long-read sequences are more complete than short-read ones, and they have been successfully used for high-quality genome assembly in several species. Here, we present a high-quality assembly of the yak genome (PB_v1.0) at chromosome scale, which was constructed using long-read sequencing technology assisted by chromatin interaction technology. Compared to the previous yak genome assembly (BosGru_v2.0), the PB_v1.0 assembly has substantially improved chromosome sequence continuity, minimized repetitive structure ambiguity, and achieved gene model completeness. To intensively characterize genetic variation of yak, we generated de novo genome assemblies based on Illumina short reads of seven recognized domestic yak breeds from Tibet and Sichuan as well as one wild yak from Hoh Xil. By comparing these eight assemblies to the PB_v1.0 genome, we obtained a comprehensive map of yak genetic diversity at whole genome level and identified a few protein-coding genes that were absent from the PB_v1.0 assembly. Although wild yak suffered bottleneck effect, the genetic diversity of wild yak is still higher than that of domestic yak. By whole genome alignment, we identified breed-specific sequences and genes, this will help the breeds identification of yak.</p>
Data for: Coevolution fails to maintain genetic variation in a host-parasite model with constant finite population size
<p>Coevolutionary negative frequency-dependent selection has been hypothesized to maintain genetic variation in host and parasites. <br> Despite the extensive literature pertaining to host-parasite coevolution, the dynamics of genetic variation has not been examined in a matching-alleles model (MAM) with a finite population size relative to the expectation under neutral genetic drift alone. The dynamics of the MA coevolution in an infinite population, in fact, suggests that genetic variation in these coevolving populations behaves neutrally. By comparing host heterozygosity to the expectation in a single-species model of neutral genetic drift we find that while this is also largely true in finite populations two additional phenomena arise. First, reciprocal natural selection acting on stochastic perturbations in host and pathogen allele frequencies results in a slight increase or decrease in genetic variation depending on the parameter conditions. Second, following the fixation of an allele in the parasite, selection in the MAM becomes directional, which then rapidly erodes genetic variation in the host. Hence, rather than maintain it, we find that, on average, matching-alleles coevolution depletes genetic variation.</p>
Data for: Feedback between coevolution and epidemiology can help or hinder the maintenance of genetic variation in host-parasite models
<p>Antagonistic coevolution has long been suggested to help maintain host genetic variation. While, ecological and epidemiological feedbacks are known to have important consequences on coevolutionary allele frequency dynamics, their effects on the maintenance of genetic variation remains poorly understood.Here, we extend our previous work on the maintenance of genetic variation in a classic matching-alleles coevolutionary model by exploring the effects of ecological and epidemiological feedbacks, where both allele frequencies and population sizes are allowed to vary over time. We find that coevolution rarely maintains more host genetic variation than expected under neutral genetic drift alone. When and if coevolution maintains or depletes genetic variation relative to neutral drift is determined, predominantly, by two factors: the deterministic stability of the Red Queen allele frequency cycles and the chance of allele fixation in the pathogen, as this results in directional selection and depletion of genetic variation in the host. Compared to purely coevolutionary models with constant host and pathogen population sizes, ecological and epidemiological feedbacks stabilize Red Queen cycles deterministically, but population fluctuations in the pathogen increase the rate of allele fixation in the pathogen, especially in epidemiological models. Our results illustrate the importance of considering the ecological and epidemiological context in which coevolution occurs when examining the impact of Red Queen cycles on genetic variation.</p>
Genetic variation in an ephemeral mudflat species: the role of the soil seed bank and dispersal in river and secondary anthropogenic habitats
<p>Many ephemeral mudflat species, which rely on a soil seed bank to build up the next generation, are endangered in their natural habitat due to the widespread regulation of rivers. The aim of the present study was to elucidate the role of the soil seed bank and dispersal for the maintenance of genetic diversity in populations of near-natural river habitats and anthropogenic habitats created by traditional fish farming practices using <i>Cyperus fuscus</i> as a model. Using microsatellite markers, we found no difference in genetic diversity levels between soil seed bank and above-ground population and only moderate differentiation between the two fractions. One possible interpretation is the difference in short-term selection during germination under specific conditions (glasshouse versus field) resulting in an ecological filtering of genotypes out of the reservoir in the soil. River populations harboured significantly more genetic diversity than populations from the anthropogenic pond types. We suggest that altered levels and patterns of dispersal together with stronger selection pressures and historical bottlenecks in anthropogenic habitats are responsible for the observed reduction in genetic diversity. Dispersal is also supposed to largely prohibit genetic structure across Europe, although there is a gradient in private allelic richness from southern Europe and Anatolia (high values) to northern, especially north-western, Europe (low values), which probably relates to postglacial expansion out of southern and/or eastern refugia.</p>
Genetic and phenotypic variation in Bathygobius cocosensis from East Australia (2014–2016)
<p>Genetic and phenotypic data from an East Australian metapopulation of the intertidal goby, <em>Bathygobius cocosensis </em>(Bleeker 1854). Data was collected over three years (2014–2016) from juveniles and adult subpopulations at three sites: Point Cartwright, Hastings Point and Shellharbour. Genetic variation was characterised using genome-wide SNPs, obtained through pooled ezRAD sequencing. Phenotypic variation was characterised using geometric morphometric analysis of head shape morphology. The analyses contained in this repository are for a manuscript submitted to <em>Molecular Ecology</em>.</p>
Data from: Rarity does not limit genetic variation or preclude subpopulation structure in the geographically restricted desert forb Astragalus lentiginosus var. piscinensis
Premise of the study: Characteristics of rare taxa include small population sizes and limited geographical ranges. The genetic consequences of rarity are poorly understood for most taxa. A small geographical range could result in reduced opportunity for isolation by distance or environment, thereby limiting genetic structure and variation, but few studies explore genetic structure at small spatial scales with sufficient resolution to test this hypothesis. Moreover, few comparative genetic studies exist among infrataxa differing in rarity. Here, we compare genetic variation among varieties of Astragalus lentiginosus differing in range size. Additionally, we ask if genetic structure exists in A. l. var. piscinensis, a rare taxon consisting of several thousand individuals that persist on ~8 km2 of alkaline soil. Methods: We compared genetic variation among 11 varieties of A. lentiginosus differing in range size using a genotyping by sequencing (GBS) approach, which generated 11,475 single nucleotide polymorphisms (SNPs). We characterized genetic structure among subpopulations of A. l. var. piscinensis using a second GBS dataset of 7,274 SNPs and explored associations between genetic structure and environmental variation. Key results: We found no association between genetic variation and range size among varieties of A. lentiginosus. Additionally, despite the extremely small range of A. l. var. piscinensis, we report a well-defined genetic structure among subpopulations associated with microhabitat variation in soil composition. Conclusion: Our results suggest that fine scale genetic structure may exist within other rare Astragalus taxa and that rarity does not preclude the maintenance of genetic diversity in this genus. In compliance with data protection regulations, please contact the publication office if you would like to have your personal information removed from the database.
Data from: Genetic wealth, population health: major histocompatibility complex variation in captive and wild ring-tailed lemurs (Lemur catta)
Across species, diversity at the major histocompatibility complex (MHC) is critical to individual disease resistance and, hence, to population health; however, MHC diversity can be reduced in small, fragmented, or isolated populations. Given the need for comparative studies of functional genetic diversity, we investigated whether MHC diversity differs between populations which are open, that is experiencing gene flow, versus populations which are closed, that is isolated from other populations. Using the endangered ring-tailed lemur (Lemur catta) as a model, we compared two populations under long-term study: a relatively "open," wild population (n = 180) derived from Bezà Mahafaly Special Reserve, Madagascar (2003–2013) and a "closed," captive population (n = 121) derived from the Duke Lemur Center (DLC, 1980–2013) and from the Indianapolis and Cincinnati Zoos (2012). For all animals, we assessed MHC-DRB diversity and, across populations, we compared the number of unique MHC-DRB alleles and their distributions. Wild individuals possessed more MHC-DRB alleles than did captive individuals, and overall, the wild population had more unique MHC-DRB alleles that were more evenly distributed than did the captive population. Despite management efforts to maintain or increase genetic diversity in the DLC population, MHC diversity remained static from 1980 to 2010. Since 2010, however, captive-breeding efforts resulted in the MHC diversity of offspring increasing to a level commensurate with that found in wild individuals. Therefore, loss of genetic diversity in lemurs, owing to small founder populations or reduced gene flow, can be mitigated by managed breeding efforts. Quantifying MHC diversity within individuals and between populations is the necessary first step to identifying potential improvements to captive management and conservation plans.
Data for 'Phenotypic plasticity and genetic variation in leaf traits of Yushania niitakayamensis (Bambusoideae; Poaceae) in contrasting light environments'
<p>This is the Data for the article entitled 'Phenotypic plasticity and genetic variation in leaf traits of Yushania niitakayamensis (Bambusoideae; Poaceae) in contrasting light environments' submitted to 'Journal of Plant Research'</p> <p><a href="https://doi.org/10.1007/s10265-021-01327-y">https://doi.org/10.1007/s10265-021-01327-y</a></p> <p>Traits' names are listed below:</p> <p>Leaf length (LL), Leaf width (LW), Specific leaf area (SLA), Stomatal density (SD), Leaf thickness (LT), Relative frequency of cavities formed by the collapsed fusoid cells (CFC), Leaf chlorophyll content per unit area ([Chl]area), Ratio of chlorophyll a to chlorophyll b (Chl a/b), Leaf nitrogen content per unit area ([N]area), Leaf stable carbon isotope ratio (δ13C), Photosynthetic photon flux density (PPFD), Actual quantum yield of PSII electron transport (ΦPSII), Electron transport rate (ETR), Light-saturated photosynthetic rate (Asat), Stomatal conductance (gs), Dark respiration rate (Rd), Apparent quantum yield (AQY), The ratio of intercellular to ambient CO2 concentration (Ci/Ca), Photosynthetic water use efficiency (WUE)</p>
Similar but different: Revealing the relative roles of species‐traits versus biome properties structuring genetic variation in South American marsh rats
<p>Aim: Wetland habitats, and the ecological restrictions imposed by them, structure patterns of genetic variation in constituent taxa. As such, genetic variation may reflect properties of the specific biomes species inhabit, or shared life history traits among species may result in similar genetic structure. We evaluated these hypotheses jointly by quantifying the similarity of genetic structure in three South American marsh rat species (Holochilus), and test how genetic variation in each species relates to biome‐specific environmental space and historical stability.</p> <p>Location: South America.</p> <p>Taxon: Rodentia.</p> <p>Methods: Using complementary analyses (Mantel tests, dbRDA, Procrustes, covariance structure of allele frequencies and environmental niche models [ENMs]) with 8,000–32,000 SNPs per species, we quantified the association between genomic variation and geographic and/or environmental differences.</p> <p>Results: Significant association between genetic variation and geography was identified for all species. Similarity in the strength of the association suggests connectivity patterns dictated by shared species‐traits predominate at the biome scale. However, substantial amounts of genetic variation are not explained by geography. Focusing on this portion of the variance, we demonstrate a significant quantitative association between genetic variation and the environmental space of a biome, and a qualitative association with varying regional stability. Specifically, historically stable areas estimated from ecological niche models are correlated with local levels of geographic structuring, suggesting that local biome‐specific histories affect population isolation/ connectivity.</p>
Data from: Genetic variation in mutualistic and antagonistic interactions in an invasive legume
Mutualists may play an important role in invasion success. The ability to take advantage of novel mutualists or survive and reproduce despite a lack of mutualists may facilitate invasion by those individuals with such traits. Here, we used two greenhouse studies to examine how soil microbial communities in general and mutualistic rhizobia in particular affect the performance of a legume species (Medicago polymorpha) that has invaded five continents. We performed two plant growth experiments with Medicago polymorpha, inoculating them with soil slurries in one experiment or rhizobial cultures in another experiment. For both experiments, we compared the growth of Medicago in competition with conspecific or heterospecific plants and examined variation among plant genotypes collected from the native and introduced ranges. We found that all genotypes experienced similar increases in biomass and formed more nodules that house rhizobia bacteria when inoculated with soil from a previously invaded site, compared to uninoculated plants or plants inoculated with soil from uninvaded and low invasion sites. In a second experiment, plants inoculated with rhizobia generally produced more biomass, had greater tolerance to interspecific competition, and had greater effects on competitor biomass than uninoculated plants. However, plant genotypes collected from the native range benefited more from rhizobia and were less tolerant of competition relative to genotypes collected from the introduced range. In the introduced range, compatible mutualists may not be readily available but competition is intense, causing Medicago to evolve to benefit less from interactions with rhizobia mutualists, while simultaneously becoming more tolerant of competition.
Data from: Genetic by environmental variation but no local adaptation in oysters (Crassostrea virginica)
Functional trait variation within and across populations can strongly influence population, community, and ecosystem processes, but the relative contributions of genetic vs. environmental factors to this variation are often not clear, potentially complicating conservation and restoration efforts. For example, local adaptation, a particular type of genetic by environmental (G*E) interaction in which the fitness of a population in its own habitat is greater than in other habitats, is often invoked in management practices, even in the absence of supporting evidence. Despite increasing attention to the potential for G*E interactions, few studies have tested multiple populations and environments simultaneously, limiting our understanding of the spatial consistency in patterns of adaptive genetic variation. In addition, few studies explicitly differentiate adaptation in response to predation from other biological and environmental factors. We conducted a reciprocal transplant experiment of first-generation eastern oyster (Crassostrea virginica) juveniles from six populations across three field sites spanning 1000 km in the southeastern Atlantic Bight in both the presence and absence of predation to test for G*E variation in this economically valuable and ecologically important species. We documented significant G*E variation in survival and growth, yet there was no evidence for local adaptation. Condition varied across oyster cohorts: Offspring of northern populations had better condition than offspring from the center of our region. Oyster populations in the southeastern Atlantic Bight differ in juvenile survival, growth, and condition, yet offspring from local broodstock do not have higher survival or growth than those from farther away. In the absence of population-specific performance information, oyster restoration and aquaculture may benefit from incorporating multiple populations into their practices.
The potential for genotype-by-environment interactions to maintain genetic variation in a model legume–rhizobia mutualism
<p>The maintenance of genetic variation in mutualism-related traits is key for understanding mutualism evolution, yet the mechanisms maintaining variation remain unclear. We asked whether genotype-by-environment (G×E) interaction is a potential mechanism maintaining variation in the model legume–rhizobia system, <em>Medicago truncatula–Ensifer meliloti</em>. We planted 50 legume genotypes in a greenhouse under ambient light and shade to reflect reduced carbon availability for plants. We found an expected reduction under shaded conditions for plant performance traits, such as leaf number, aboveground and belowground biomass, and a mutualism-related trait, nodule number. We also found G×E for nodule number, with ∼83% of this interaction due to shifts in genotype fitness rank order across light environments, coupled with strong positive directional selection on nodule number regardless of light environment. Our results suggest that G×E can maintain genetic variation in a mutualism-related trait that is under consistent positive directional selection across light environments.</p>
Dissecting the genetic basis of variation in Drosophila sleep using a multiparental QTL mapping resource
There is considerable variation in sleep duration, timing and quality in human populations, and sleep dysregulation has been implicated as a risk factor for a range of health problems. Human sleep traits are known to be regulated by genetic factors, but also by an array of environmental and social factors. These uncontrolled, non-genetic effects complicate powerful identification of the loci contributing to sleep directly in humans. The model system, Drosophila melanogaster, exhibits a behavior that shows the hallmarks of mammalian sleep, and here we use a multitiered approach, encompassing high-resolution QTL mapping, expression QTL data, and functional validation with RNAi to investigate the genetic basis of sleep under highly controlled environmental conditions. We measured a battery of sleep phenotypes in >750 genotypes derived from a multiparental mapping panel and identified several, modest-effect QTL contributing to natural variation for sleep. Merging sleep QTL data with a large head transcriptome eQTL mapping dataset from the same population allowed us to refine the list of plausible candidate causative sleep loci. This set includes genes with previously characterized effects on sleep and circadian rhythms, in addition to novel candidates. Finally, we employed adult, nervous system-specific RNAi on the Dopa decarboxylase, dyschronic, and timeless genes, finding significant effects on sleep phenotypes for all three. The genes we resolve are strong candidates to harbor causative, regulatory variation contributing to sleep.
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.