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788 results for “genotypic data”
TagSeq gene expression data from Acropora cervicornis genotypes exhibiting above or below average heat tolerance
<p>TagSeq data taken from Acropora cervicornis genotypes taken from nurseries in the Florida Reef tract and subjected to thermal stress. </p>
Genotype data of 970 Pedunculate oak trees (Quercus robur L.) in Russia and neighbouring countries at 385 gene loci covering the nuclear and organelle genome
<p>The data set is the result of genetic inventory on 970 Pedunculate oak trees from 97 locations in Russia, Belarus, Ukraine and Latvia representing the eastern part of the natural species range. The data set includes the sample IDs, geographic coordinates of each sampled tree (longitude and latitude in decimal degrees) and the genotype data. All samples were screened with a set of 385 gene markers covering the nuclear (n=364) and the organelle genomes (chloroplast: n=14, mitochondria: n=7) by use of a genotyping by sequencing approach. With exception of three INDELs (Insert and Deletion mutations) all gene markers are SNPs (Single nucleotide Polymorphism).</p>
Data from: Targeted genome-wide SNP genotyping in feral horses using non-invasive fecal swabs
<p>The development of high-throughput sequencing has prompted a transition in wildlife genetics from using microsatellites toward sets of Single Nucleotide Polymorphisms (SNPs). However, genotyping large numbers of targeted SNPs using non-invasive samples remains challenging due to relatively large DNA input requirements. Recently, target enrichment has emerged as a promising approach requiring little template DNA. We assessed the efficacy of Tecan Genomics' Allegro Targeted Genotyping (ATG) for generating genome-wide SNP data in feral horses using DNA isolated from fecal swabs. Total and host-specific DNA were quantified for 989 samples collected as part of a long-term individual-based study of feral horses on Sable Island, Nova Scotia, Canada, using dsDNA fluorescence and a host-specific qPCR assay, respectively. Forty-eight samples representing 44 individuals containing at least 10ng of host DNA (ATG's recommended minimum input) were genotyped using a custom multiplex panel targeting 279 SNPs. Genotyping accuracy and consistency were assessed by contrasting ATG genotypes with those obtained from the same individuals with SNP microarrays, and from multiple samples from the same horse, respectively. 62% of swabs yielded the minimum recommended amount of host DNA for ATG. Ignoring samples that failed to amplify, ATG recovered an average of 86.7% targeted sites per sample, while genotype concordance between ATG and SNP microarrays was 98.5%. The repeatability of genotypes from the same individual approached unity with an average of 99.9%. This study demonstrates the suitability of ATG for genome-wide, non-invasive targeted SNP genotyping, and will facilitate further ecological and conservation genetics research in equids and related species.</p>
Data from: A genotyping-in-thousands by sequencing panel to inform invasive deer management using non-invasive fecal and hair samples
<p>Studies in ecology, evolution, and conservation often rely on non-invasive samples, making it challenging to generate large amounts of high-quality genetic data for many elusive and at-risk species. We developed and optimized a Genotyping-in-Thousands by sequencing (GT-seq) panel using non-invasive samples to inform the management of invasive Sitka black-tailed deer (<em>Odocoileus hemionus sitkensis</em>) in Haida Gwaii (Canada). We validated our panel using paired high-quality tissue and non-invasive fecal and hair samples to simultaneously distinguish individuals, identify sex and reconstruct kinship among deer sampled across the archipelago, then provided a proof-of-concept application using field-collected feces on SGang Gwaay, an island of high ecological and cultural value. Genotyping success across 244 loci was high (90.3%) and comparable to that of high-quality tissue samples genotyped using restriction-site associated DNA sequencing (92.4%), while genotyping discordance between paired high-quality tissue and non-invasive samples was low (0.50%). The panel will be used to inform future invasive species operations (culls or eradications) in Haida Gwaii by providing individual and population information to inform management. More broadly, our GT-seq workflow that includes quality control analyses for targeted SNP selection and a modified protocol may be of wider utility for other studies and systems where non-invasive genetic sampling is employed.</p>
Data from: Hybrid enrichment of adaptive variation revealed by genotype-environment associations in montane sedges
<p>The role of hybridization in diversification is complex and may result in many possible outcomes. Not only can hybridization produce new lineages, but those lineages may contain unique combinations of adaptive genetic variation derived from parental taxa that allow hybrid-origin lineages to occupy unique environmental space relative to one (or both) parents. We document such a case of hybridization between two sedge species, <em>Carex</em> <em>nova</em> and <em>Carex</em> <em>nelsonii</em> (Cyperaceae), that occupy partially overlapping environmental space in the southern Rocky Mountains, USA. In the region hypothesized to be the origin of the hybrid lineage, one parental taxon (<em>C. nelsonii</em>) is at the edge of its environmental tolerance. Hybrid-origin individuals display mixed ancestry between the parental taxa – of nearly 7,000 unlinked loci sampled, almost 30% showed evidence of excess ancestry from one parental lineage – approximately half displayed a genomic background skewed towards one parent, and half skewed towards the other. To test whether excess ancestry loci may have conferred an adaptive advantage to the hybrid-origin lineage, we conducted genotype-environment association analyses on different combinations of loci – with and without excess ancestry – and with multiple contrasts between the hybrids and parental taxa. Loci with skewed ancestry showed significant environmental associations distinguishing the hybrid lineage from one parent (<em>C. nelsonii</em>), whereas loci with relatively equal representation of parental ancestries showed no such environmental associations. Moreover, the overwhelming majority of candidate adaptive loci with respect to environmental gradients also had excess ancestry from a parental lineage, implying these loci have facilitated the persistence of the hybrid lineage in an environment unsuitable to at least one parent<em>.</em></p>
Dataset for: Guidelines for standardising the application of discriminant analysis of principal components to genotype data
<p><span>Data and scripts required to replicate the analyses in Thia (2022) "<span class="fontstyle0">Guidelines for standardising the application of discriminant analysis of principal components to genotype data" in <em>Molecular Ecology</em>.</span></span></p> <p><span>This study aimed to address methodological misunderstandings and misuse of the DAPC method in population genetics. The analyses are used to illustrate that for genotype data comprising <em>k</em> effective populations, there are only <em>k</em><span>−</span>1 PC axes that describe populations structure, and that are biologically informative. These PC axes are the only suitable axes for modelling the among-population differences with a DA. Use of many more than <em>k</em><span>−1 PC axes leads to decreasing biological relevancy of the final DA solution, with implications for misinterpretations of population structure.</span></span></p>
EST-SSR genotyping data from: Ecotype variation in the endemic tree Callicarpa subpubescens on small oceanic islands: Genetic, phenotypic, and environmental insights
<p><em>Callicarpa subpubescens</em>, endemic to the Ogasawara Islands, is suggested to have multiple ecotypes in the Hahajima Islands, specifically in the central part of the Ogasawara Islands. In this study, associations between genetic groups and spatial distribution, habitat, leaf morphology, size structure, and flowering time of each genetic group were investigated on Hahajima and the satellite Imoutojima Islands. Genetic groups were identified using EST-SSR markers, revealing four ecotypes named based on morphological features: Dwarf (D), Glabrescent (G), Tall (T), and Middle (M), with M being a result of the hybridization of G and T. Ecotype D, adapted to dry environments, is characterized by small tree size, dense thick leaves with abundant hairs, and is distributed in dry scrub. Ecotype G, adapted to understory of mesic forests, lacks leaf hairs. Ecotype T, adapted to the canopy of mesic forests, has hairy leaves and is tall in tree height. Ecotype M, adapted to the canopy of mesic scrub or edges of mesic forests, has hairy leaves but with a shorter tree height than ecotype T. Flowering peaks differed among all ecotype pairs except G and M, but the flowering times more or less overlapped among all ecotypes, suggesting that pre-mating isolation among ecotypes is not perfect. Post-mating isolation is considered absent, as there were no differences in the results, germination, and survival rates of one-year seedlings among inter- and intra-ecotype crossings. The existence of such ecotypes provides valuable insights into the ongoing speciation processes adapting to the oceanic island environments.</p>
Autosomal SNP-genotype data of brown bears (Ursus arctos) in Finland
<p>Harmonising methodology between countries is crucial in transborder population monitoring. However, immediate application of alleged, established DNA-based methods across the extended area can entail drawbacks and may lead to biases. Therefore, genetic methods need to be tested across the whole area before being deployed. Around 4,500 brown bears (<em>Ursus arctos</em>) live in Norway, Sweden, and Finland and they are divided into the western (Scandinavian) and eastern (Karelian) population. Both populations have recovered and are connected via asymmetric migration. DNA-based population monitoring in Norway and Sweden uses the same set of genetic markers. With Finland aiming to implement monitoring, we tested the available SNP-panel developed to assess brown bears in Norway and Sweden, on tissue samples from a representative set of 93 legally harvested individuals from Finland. The aim was to test for ascertainment bias and evaluate its suitability for DNA-based transnational-monitoring covering all three countries. We compared results to the performance of microsatellite genotypes of the same individuals in Finland and against SNP-genotypes from individuals sampled in Sweden (<em>N</em>=95) and Norway (<em>N</em>=27). In Finland, a higher resolution for individual identification was obtained for SNPs (PI=1.18E-27) compared to microsatellites (PI=4.2E-11). Compared to Norway and Sweden, probability of identity of the SNP-panel was slightly higher and expected heterozygosity lower in Finland indicating ascertainment bias. Yet, our evaluation show that the available SNP-panel outperforms the microsatellite panel currently applied in Norway and Sweden. The SNP-panel represents a powerful tool that could aid improving transnational DNA-based monitoring of brown bears across these three countries.</p>
Data from: Targeted genotyping-by-sequencing of potato and data analysis with R/polyBreedR
<p>"Mid-density" targeted genotyping-by-sequencing (GBS) combines trait-specific markers with thousands of genomic markers at an attractive price for linkage mapping and genomic selection. A 2.5K targeted GBS assay for potato was developed using the DArTag<sup>TM</sup> technology and later expanded to 4K targets. Genomic markers were selected from the potato Infinium<sup>TM</sup> SNP array to maximize genome coverage and polymorphism rates. The DArTag and SNP array platforms produced equivalent dendrograms in a test set of 298 tetraploid samples, and 83% of the common markers showed good quantitative agreement, with RMSE (root-mean-squared-error) less than 0.5. DArTag is suited for genomic selection candidates in the clonal evaluation trial, coupled with imputation to a higher-density platform for the training population. Using the software polyBreedR, an R package for the manipulation and analysis of polyploid marker data, the RMSE for imputation by linkage analysis was 0.15 in a small half-diallel population (N=85), which was significantly lower than the RMSE of 0.42 with the Random Forest method. Regarding high-value traits, the DArTag markers for resistance to potato virus Y, golden cyst nematode, and potato wart appeared to track their targets successfully, as did multi-allelic markers for maturity and tuber shape. In summary, the potato DArTag assay is a transformative and publicly available technology for potato breeding and genetics.</p>
Data from: Analysis of genotyping data reveals the unique genetic diversity represented by the breeds of sheep native to the United Kingdom
<p><strong>Background: </strong>Sheep breeds native to the United Kingdom are noted for high breed variability and exhibit a striking diversity of different traits in phenotypes and genetic diversity. Some of these traits are highly sustainable, such as seasonal wool shedding in the Wiltshire Horn, are likely to become more important as pressures on sheep production increase in coming decades. Despite their clear importance to the future of sheep farming, the genetic diversity of native UK sheep breeds is poorly characterised. This increases the risk of losing the ability to select for breed-specific traits from native breeds that might be important to the UK sheep sector in the future. Here, we use 50K genotyping to perform preliminary analysis of breed relationships and genetic diversity within native UK sheep breeds, as a first step towards a comprehensive characterisation. This study generates novel data for thirteen native UK breeds, including 6 on the UK Breeds at Risk (BAR) list, and utilises existing data from the publicly available Sheep HapMap dataset to investigate population structure, heterozygosity and admixture.</p> <p><strong>Results: </strong>In this study the commercial breeds exhibited high levels of admixture, weaker population structure and had higher heterozygosity compared to the other native breeds, which generally tend to be more distinct, less admixed, and have lower genetic diversity and higher kinship coefficients. Some breeds including the Wiltshire Horn, Lincoln Longwool and Ryeland showed very little admixture at all, indicating a high level of breed integrity but potentially low genetic diversity. Population structure and admixture were strongly influenced by sample size and sample provenance – highlighting the need for equal sample sizes, sufficient numbers of individuals per breed, and sampling across multiple flocks. The genetic profiles both within and between breeds were highly complex for UK sheep, reflecting the complexity in the demographic history of these breeds.</p> <p><strong>Conclusion: </strong>Our results highlight the utility of genotyping data for investigating breed diversity and genetic structure. They also suggest that routine generation of genotyping data would be very useful in informing conservation strategies for rare and declining breeds with small populations sizes. We conclude that generating genetic resources for the sheep breeds that are native to the UK will help preserve the considerable genetic diversity represented by these breeds, and safe guard this diversity as a valuable resource for the UK sheep sector to utilise in the face of future challenges.</p>
Data from: Thermal plasticity in protective wing pigmentation is modulated by genotype and food availability in an insect model of seasonal polyphenism
<p>Phenotypic variation in natural populations results from complex interactions between organisms and their changing environments. The environment shapes both phenotypic frequencies (during adaptation) and organismal phenotypes (through phenotypic plasticity). Developmental plasticity, in particular, refers to the phenomenon whereby an organism's phenotype depends on the environmental conditions during development. It can match phenotype to ecological conditions and help organisms to cope with environmental heterogeneity, including differences between alternating seasons. Experimental studies of developmental plasticity often focus on the impact of individual environmental cues and do not take explicit account of genetic variation. In contrast, natural environments are complex, comprising multiple variables with combined effects that are poorly understood and may vary among genotypes. We investigated the effects of multifactorial environments on the development of the seasonally plastic eyespots of <em>Bicyclus anynana</em> butterflies. Eyespot size depends on developmental temperature and is involved in alternative seasonal strategies for predator avoidance. In nature, both temperature and food availability undergo seasonal fluctuations. However, our understanding of how thermal plasticity in eyespot size varies in response to food availability and across genotypes remains limited. To address this, we investigated the combined effects of temperature (T; two levels: 20°C and 27°C) and food availability (N; two levels: control and limited) during development. We examined their impact on wing and eyespot size in adult males and females from multiple genotypes (G; 28 families). We found evidence of thermal and nutritional plasticity and temperature-by-nutrition interactions (significant TxN) on the size of eyespots in both sexes. Food limitation resulted in relatively smaller eyespots and tempered the effects of temperature. Additionally, we found differences among families for thermal plasticity (significant GxT effects), but not for nutritional plasticity (non-significant GxN effects) nor for the combined effects of temperature and food limitation (non-significant GxTxN effects). Our results reveal the context dependence of thermal plasticity, with the slope of thermal reaction norms varying across genotypes and across nutritional environments. We discuss these results in light of the ecological significance of pigmentation and the value of considering thermal plasticity in studies of the biological impact of climate change.</p>
Genotypic data from: Lab-based evaluation of the reproductive performance of trojan (MYY) brook trout (Salvelinus fontinalis)
<p>Evaluating the efficacy of the use of trojan male brook trout with two Y chromosomes (M<sub>YY</sub>) requires a better understanding of reproductive performance. We measured the reproductive performance of hatchery age-0 and age-1 M<sub>YY</sub> brook trout compared to hatchery XY males using laboratory crosses. Offspring of XY males had higher survival than offspring of age-1 M<sub>YY</sub> one day post-fertilization but not offspring of age-0 M<sub>YY</sub>. We found no detectable differences in survival from eyed-egg to the juvenile-fry stage. However, size-at-age differed, where offspring of age-0 M<sub>YY</sub> were 3.6% smaller in length and 25.2% smaller in weight than those of XY males. For crosses fertilized by both M<sub>YY</sub> and XY males, we found that a significantly higher proportion of offspring within families were sired by M<sub>YY </sub>versus XY males. These results show, under controlled conditions, evidence for possible fitness advantage for M<sub>YY</sub> under sperm competition, but a possible fitness disadvantage associated with early growth of their offspring. Overall, our results hold promise for the use of M<sub>YY</sub> brook trout to serve as an effective eradication tool. </p>
Genotype data of 10 nuclear microsatellite loci for 30 Quercus acutissima populations in China
<p>This dataset includes genotype data of 10 nuclear microsatellite loci for 707 individuals of Quercus acutissima from 30 natural populations in China.</p>
nSSR genotype data for 30 Quercus acutissima populations and 18 Quercus chenii populations in China
<p>This dataset includes genotype data of seven nSSR loci for 696 individuals of Quercus acutissima from 30 natural populations, and 415 individuals of Quercus chenii from 18 natural populations in China.</p>
data set related to article Broad phenotypic spectrum and genotype-phenotype correlations in GMPPB-related dystroglycanopathies: an Italian cross-sectional study
<p>This record contains raw data related to article Broad phenotypic spectrum and genotype-phenotype correlations in GMPPB-related dystroglycanopathies: an Italian cross-sectional study</p>
Data from: Host genotype and age shape the leaf and root microbiomes of a wild perennial plant
Bacteria living on and in leaves and roots influence many aspects of plant health, so the extent of a plant's genetic control over its microbiota is of great interest to crop breeders and evolutionary biologists. Laboratory-based studies, because they poorly simulate true environmental heterogeneity, may misestimate or totally miss the influence of certain host genes on the microbiome. Here we report a large-scale field experiment to disentangle the effects of genotype, environment, age and year of harvest on bacterial communities associated with leaves and roots of Boechera stricta (Brassicaceae), a perennial wild mustard. Host genetic control of the microbiome is evident in leaves but not roots, and varies substantially among sites. Microbiome composition also shifts as plants age. Furthermore, a large proportion of leaf bacterial groups are shared with roots, suggesting inoculation from soil. Our results demonstrate how genotype-by-environment interactions contribute to the complexity of microbiome assembly in natural environments.
Data from: RAD sequencing, genotyping error estimation and de novo assembly optimization for population genetic inference
Restriction site-associated DNA sequencing (RADseq) provides researchers with the ability to record genetic polymorphism across thousands of loci for non-model organisms, potentially revolutionising the field of molecular ecology. However, as with other genotyping methods, RADseq is prone to a number of sources of error that may have consequential effects for population genetic inferences, and these have received only limited attention in terms of the estimation and reporting of genotyping error rates. Here we use individual sample replicates, under the expectation of identical genotypes, to quantify genotyping error in the absence of a reference genome. We then use sample replicates to (1) optimize de novo assembly parameters within the program Stacks, by minimizing error and maximizing the retrieval of informative loci, and; (2) quantify error rates for loci, alleles and SNPs. As an empirical example we use a double digest RAD dataset of a non-model plant species, Berberis alpina, collected from high altitude mountains in Mexico.
Data & Code from: Crop mixtures: does niche complementarity hold for belowground resources? an experimental test using rice genotypic pairs
<p>Data & Code for the study "Crop mixtures: does niche complementarity hold for belowground resources? an experimental test using rice genotypic pairs"</p> <p>Data:<br> "Rice_traits.csv": this file contains trait and productivity data measured at the individual plant level. It has one row per plant and one column per trait.</p> <p>Column headers:<br> "IDplant": unique plant identifier (1 to 200)<br> "IDpot": pot identifier with two plants per pot (1 to 100)<br> "Bloc": bloc identifier, with 20 pots per bloc (A, B, C, D, E)<br> "Treatment": P0 vs P+ = no P supply vs P supply<br> "Asso": pot type, either monoculture (M) or mixture (P)<br> "IDcouple": concatenation of the identifiers of the two genotypes in a pot (I64 = IR64, I64+=IR64 introgressed with QTL9, Pdi=Padi, Ktn=Ketan)<br> "IDgeno": focal genotype identifier (I64 = IR64, I64+=IR64 introgressed with QTL9, Pdi=Padi, Ktn=Ketan)<br> "IDnei": neighbour genotype identifier (I64 = IR64, I64+=IR64 introgressed with QTL9, Pdi=Padi, Ktn=Ketan)<br> "BIOM_above": aboveground biomass (g)<br> "Tillers": number of tillers<br> "PH": Plant height (cm)<br> "Biovolume": biovolume (m3)<br> "SLA": Specific Leaf Area (m2/kg)<br> "RB_top": Root biomass between 0 and 20 cm below the soil surface(g)<br> "RB_deep: Root biomass between 20 and 60 cm below the soil surface(g) (!!! Only measured at the pot-level)<br> "D_ad"/"D_bas": Mean root diameter (mm) of adventitious/basal roots, respectively<br> "SRL_ad"/"SRL_bas": Specific Root Length (m/g) of adventitious/basal roots, respectively<br> "RTD_ad"/"RTD_bas": Root Tissue Density (mg/cm3) of adventitious/basal roots, respectively<br> "RBI_ad"/"RBI_bas": Root Branching Intensity (nb tips/cm) of adventitious/basal roots, respectively<br> "PfR_ad"/"PfR_bas": Proportion of fine roots (diameter < 0.1 mm) (%) in adventitious/basal roots, respectively</p> <p>Code:<br> "Rice_mixtures_analysis.R": this file contains the main statisticl analysis presented in the study. It uses "Rice_traits.csv" as an input.</p> <p> </p>
Data from: Recent chapters of Neotropical history overlooked in phylogeography: shallow divergence explains phenotype and genotype uncoupling in Antilophia manakins
Establishing links between phenotypic and genotypic variation is a central goal of evolutionary biology, as they might provide important insights into evolutionary processes shaping genetic and species diversity in nature. One of the more intriguing possibilities is when no genetic divergence is found to be associated with conspicuous phenotypic divergence. In that case, speciation theory predicts that phenotypic divergence may still occur in the presence of significant gene flow—thereby resulting in little genomic divergence—when genetic loci underpinning phenotypes are under strong divergent selection. However, a finding of phenotypic distinctiveness with weak or no population genetic structure may simply result from low statistical power to detect shallow genetic divergences when small datasets are used. Here, we used a subgenomic dataset of 2386 ultraconserved elements to explore genome-wide divergence between two species of Antilophia manakins, which are phenotypically distinct yet evidently lack strong genetic differentiation according to previous studies based on a limited number of loci. Our results revealed clear population structure that matches the two phenotypes, supporting the idea that smaller datasets lacked the power to detect this recent divergence event (likely < 100 k ya). Indeed, we found little or no introgression between the species, as well as evidence of genome-wide divergence. One implication of our study is that the Araripe plateau may be a hotspot of cryptic-diverging forest Cerrado populations. Besides their use in biogeography, subgenomic datasets may help redefine local conservation programs by revealing cryptic population structure that may be key to population management.
Data from: CHIIMP: an automated high-throughput microsatellite genotyping approach reveals greater allelic diversity in wild chimpanzees
Short tandem repeats (STRs), also known as microsatellites, are commonly used to non-invasively genotype wild-living endangered species, including African apes. Until recently, capillary electrophoresis has been the method of choice to determine the length of polymorphic STR loci. However, this technique is labor intensive, difficult to compare across platforms, and notoriously imprecise. Here we developed a MiSeq-based approach and tested its performance using previously genotyped fecal samples from long-term studied chimpanzees in Gombe National Park, Tanzania. Using data from eight microsatellite loci as a reference, we designed a bioinformatics platform that converts raw MiSeq reads into locus-specific files and automatically calls alleles after filtering stutter sequences and other PCR artifacts. Applying this method to the entire Gombe population, we confirmed previously reported genotypes, but also identified 31 new alleles that had been missed due to sequence differences and size homoplasy. The new genotypes, which increased the allelic diversity and heterozygosity in Gombe by 61% and 8%, respectively, were validated by replicate amplification and pedigree analyses. This demonstrated inheritance and resolved one case of an ambiguous paternity. Using both singleplex and multiplex locus amplification, we also genotyped fecal samples from chimpanzees in the Greater Mahale Ecosystem in Tanzania, demonstrating the utility of the MiSeq-based approach for genotyping non-habituated populations and performing comparative analyses across field sites. The new automated high-throughput analysis platform (available at https://github.com/ShawHahnLab/chiimp) will allow biologists to more accurately and effectively determine wildlife population size and structure, and thus obtain information critical for conservation efforts.
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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.