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1,454 results for “large scale”
Large-scale comparison of bibliographic data sources: Scopus, Web of Science, Dimensions, Crossref, and Microsoft Academic
<p>This data set contains supplementary material for the paper 'Large-scale comparison of bibliographic data sources: Scopus, Web of Science, Dimensions, Crossref, and Microsoft Academic' by Martijn Visser, Nees Jan van Eck, and Ludo Waltman. The data set provides the statistics presented in the figures in the paper.</p>
Data from: Quantifying natural disturbances using a large-scale dendrochronological reconstruction to guide forest management
Estimates of historical disturbance patterns are essential to guide forest management aimed at ensuring the sustainability of ecosystem functions and biodiversity. However, quantitative estimates of various disturbance characteristics required in management applications are rare in longer-term historical studies. Thus, our objectives were to: (1) quantify past disturbance severity, patch size, and stand proportion disturbed, and (2) test for temporal and sub-regional differences in these characteristics. We developed a comprehensive dendrochronological method to evaluate an approximately two-century-long disturbance record in the remaining Central and Eastern European primary mountain spruce forests, where wind and bark beetles are the predominant disturbance agents. We used an unprecedented large-scale nested design dataset of 541 plots located within 44 stands and 6 sub-regions. To quantify individual disturbance events, we used tree-ring proxies, which were aggregated at plot and stand levels by smoothing and detecting peaks in their distributions. The spatial aggregation of disturbance events was used to estimate patch sizes. Data exhibited continuous gradients from low- to high-severity and small- to large-size disturbance events. In addition to the importance of small disturbance events, moderate-scale (25-75% of the stand disturbed, >10 ha patch size) and moderate-severity (25-75% of canopy disturbed) events were also common. Moderate disturbances represented more than 50% of the total disturbed area and their rotation periods ranged from one to several hundred years, which is within the lifespan of local tree species. Disturbance severities differed among sub-regions, whereas the stand proportion disturbed varied significantly over time. This indicates partially independent variations among disturbance characteristics. Our quantitative estimates of disturbance severity, patch size, stand proportion disturbed, and associated rotation periods provide rigorous baseline data for future ecological research, decisions within biodiversity conservation, and silviculture intended to maintain native biodiversity and ecosystem functions. These results highlight a need for sufficiently large and adequately connected networks of strict reserves, more complex silvicultural treatments that emulate the natural disturbance spectrum in harvest rotation times, sizes, and intensities, and higher levels of tree and structural legacy retention.
Data from: Large-scale mutation in the evolution of a gene complex for cryptic coloration
<p class="western">The types of mutations affecting adaptation in the wild are only beginning to be understood. In particular, whether structural changes shape adaptation by suppressing recombination or by creating new mutations is unresolved. Here we show that multiple, linked but recombining loci underlie cryptic color morphs of <i>Timema chumash </i>stick insects. In a related species, these loci are found in a region of suppressed recombination, forming a supergene. However, in seven species of <i>Timema </i>we find that a mega-base size 'supermutation' has deleted color loci in green morphs. Moreover, we find that balancing selection likely contributes more to maintaining this mutation than does introgression. Our results show how suppressed recombination and large-scale mutation can help package gene complexes into discrete units of diversity, such as morphs, ecotypes, or species.</p>
Data from: The earliest baleen whale of the mediterranean: Large-scale implications of an early miocene thalassotherian mysticete from Piedmont, Italy
The discovery of an Early Miocene chaeomysticete from the Pietra da Cantoni Group in Piedmont (north-western Italy) allowed for the creation of Atlanticetus n. gen. and Atlanticetus lavei n. sp. The new species is represented by a partial skeleton including the earbones and shows anatomical resemblance with Atlanticetus patulus (new combination) from the western North Atlantic. The Early Miocene age of the new specimen supports the view that it represents the oldest record of Chaeomysticeti from the Mediterranean. A new phylogenetic analysis showed that both A. patulus and A. lavei belong to a radiation of basal thalassotherian taxa. The basal thalassotherians are found being monophyletic to the exclusion of Cetotheriidae and Balaenopteroidea. The reconstruction of ancestral characters at selected nodes informs that the group including Atlanticetus and living balaenopterid taxa independently evolved rostra wide at base, anterolateral expansion in the tympanic bulla and a peculiar arrangement of the endocranial foramina of the periotic exhibiting a noteworthy phenomenon of convergent evolution in feeding and hearing functions with Balaenopteridae. The paleobiogeographic analysis showed that the North Pacific was the center of origin of Balaenomorpha (crown mysticetes), Thalassotherii and Balaenoidea. The recurrent invasion of the Mediterranean by balaenomorph mysticetes occurred from both the North Atlantic and North Pacific.
A large-scale systematic framework of Chinese snakes based on a unified multilocus marker system
Snakes are one of the most diverse groups of terrestrial vertebrates, with approximately 3500 extant species, some of which are closely related to human life. A robust phylogeny and taxonomy of snakes is crucial for us to know, study, protect and make use of them. For a large group such as snakes, cross-study data utilization is important which can be facilitated by standardization of the loci used for systematic analyses. In this study, we combined 5 mitochondrial markers, 19 vertebrate-universal nuclear protein coding (NPC) markers and 72 snake-specific noncoding intron markers, and generated a unified multilocus marker system for studies of snake systematics. This marker system is an addition to the squamate conserved locus set compiled for large-scale sequence capture experiments. We applied this marker system to over 440 snake samples and constructed the currently most comprehensive systematics framework of the snakes in China. Robust snake phylogenetic relationships were recovered at both deep and shallow evolutionary depths, demonstrating the usefulness of this multilocus marker system. Discordance was revealed by a parallel comparison between the snake tree based on our multilocus marker system and that based on only the mitochondrial loci, highlighting the necessity of using multiple marker types to better understand the snake evolutionary histories. The divergence times of different snake groups were estimated with the multilocus data set. Our comprehensive snake tree not only confirms many important nodes inferred in previous studies but also contributes new insights into the phylogenetic relationships among snakes. Suggestions are made for the current snake taxonomy.
Foraging in nature: contrasting responses to resource heterogeneity at small and large spatial scales.
<p>A key problem faced by foragers is how to forage when resources are distributed heterogeneously in space. This heterogeneity and associated trade-offs may change with spatial scale. Furthermore, foragers may also have to optimize acquiring multiple resources. Such complexity of decision-making while foraging is poorly understood. We studied the butterfly <i>Ypthima huebneri</i> to examine how foraging decisions of adults are influenced by spatial scale and multiple resources. We predicted that, at a small-spatial scale, the time spent foraging in a patch should be proportional to resources in the patch, but at large-spatial scales, due to limitations arising from large travel costs, this relationship should turn negative. We also predicted that both adult and larval resources should jointly affect foraging butterflies. To test these predictions, we laid eleven plots, and sub-divided them into patches. We mapped nectar and larval resources and measured butterfly behavior in these patches and plots. We found that adult foraging behavior showed contrasting relationships with adult resource density at small versus large-spatial scales. At the smaller-spatial scale, butterflies spent more time feeding in resource-rich patches, whereas at the large-scale, butterflies spent more time feeding in resource-poor plots. Furthermore, both adult and larval resources appeared to affect foraging decisions, suggesting that individuals may optimize search costs for different resources. Overall, our findings suggest that the variation in foraging behavior seen in foragers might result from animals responding to complex ecological conditions, such as, resource heterogeneity at multiple spatial scales and the challenges of tracking multiple resources.</p>
Supplementary datasets for: Large-scale genome sequencing reveals the driving forces of viruses in microalgal evolution
<p>Microalgae are integral primary producers for global ecosystems whose genomes can be mined for ecological insights, but representative genome sequences are lacking for many phyla. We cultured and sequenced 107 microalgae species from 11 different phyla indigenous to varied geographies and climates. This genome collection was used to resolve genomic differences between saltwater and freshwater microalgae. Freshwater species showed domain-centric ontology enrichment for nuclear and nuclear membrane functions, while saltwater species were enriched in organellar and cellular membrane functions. Marine species contained significantly more viral families in their genomes (<span>p-value = 8 x 10(-4))</span>. Viral sequences were identified from Chlorovirus, Coccolithovirus, Pandoravirus, Marseillevirus, Tupanvirus, and others integrated into algal genomes. Algal, viral-origin sequences were found to be expressed and to code for a wide variety of functions. Our results clarify the poorly characterized occurrences of viral elements in algal genomes and define a unified adaptive strategy for algal halotolerance.</p>
Setpoints obtained for generator G in large-scale study
<p>The attached JSON files contain the setpoints obtained for the generator G in the large-scale study.</p> <ul> <li>results_enwl_exp_1.json: results with the exponents set to 1.0</li> <li> results_enwl_exp_3.json: results with the exponents set to 3.0</li> </ul> <p>Each json file is a tree, where the first two levels indicate the network and feeder from the ENWL dataset. Per (network, feeder) dictionary, the following data is available</p> <ul> <li><strong>pg_swl</strong>: per-phase active power set-point obtained with the SWL formulation, in kW</li> <li><strong>qg_swl</strong>: per-phase reactive power set-point obtained with the SWL formulation, in kvar</li> <li><strong>pg_su</strong>: per-phase active power set-point obtained with the SU formulation, in kW</li> <li><strong>qg_su</strong>: per-phase reactive power set-point obtained with the SU formulation, in kvar</li> <li><strong>gen_bus</strong>: bus to which the generator is connected</li> </ul>
The dataset of figures for "The GPU version of LICOM3 under HIP framework and its large-scale application"
<p>A high-resolution (1/20°) global ocean general circulation model with Graphics processing units (GPUs) code implementations is developed based on the LASG/IAP Climate system Ocean Model version 3 (LICOM3) under Heterogeneous-compute Interface for Portability (HIP) framework. The dynamic core and physics package of LICOM3 are both ported to the GPU, and 3-dimensional parallelization is applied. The HIP version of the LICOM3 (LICOM3-HIP) is 42 times faster than what the same number of CPU cores dose, when 384 AMD GPUs and CPU cores are used. The LICOM3-HIP has excellent scalability; it can still obtain speedup of more than four on 9216 GPUs comparing to 384 GPUs. In this phase, we successfully performed a test of 1/20° LICOM3-HIP using 6550 nodes and 26200 GPUs, and at the grand scale, the model’s time to solution can still obtain an increasing, about 2.72 simulated years per day (SYPD). The high performance was due to putting almost all of computation processes inside GPUs, and thus greatly reduces the time cost of data transfer between CPUs and GPUs. At the same time, a 14-year spin-up integration following the phase 2 of Ocean Model Intercomparison Project (OMIP-2) protocol of surface forcing has been conducted, and the preliminary results have been evaluated. We found that the model results have little differences from the CPU version. Further comparison with observations and lower-resolution LICOM3 results suggests that the 1/20° LICOM3-HIP can not only reproduce the observations, but also produce much smaller scale activities, such as submesoscale eddies and frontal scales structures.</p>
Data from: Large-scale meta-analysis on rheumatoid arthritis across East Asian and European populations
<p><span><span><span><b>Objective:</b> Nearly 110 susceptibility loci for rheumatoid arthritis (RA) with modest effect sizes have been identified by population-based genetic association studies, suggesting a large number of undiscovered variants behind a highly polygenic genetic architecture of RA. Here, we performed the largest-ever trans-ancestral meta-analysis with the aim to identify new RA loci and to better understand RA biology underlying genetic associations.</span></span></span></p> <p><span><span><span><b>Methods:</b> Genome-wide RA association summary statistics in three large case-control collections consisting of 311,292 individuals of Korean, Japanese, and European populations were used in an inverse-variance-weighted fixed-effects meta-analysis. Several computational analyses using public omics resources were conducted to prioritize causal variants and genes, RA variant-implicating features (tissues, pathways, and transcription factors), and potentially repurposable drugs for RA treatment. </span></span></span></p> <p><span><span><span><b>Results:</b> We identified 11 new RA susceptibility loci that explained 6.9% and 1.8% of the SNP-based heritability in East Asians and Europeans, respectively, and confirmed 71 known non-HLA susceptibility loci, identifying 90 independent association signals. The RA variants were preferentially located in binding sites of various transcription factors and in cell type-specific transcription-activation histone marks that simultaneously highlighted the importance of CD4<sup>+</sup> T-cell activation and the potential role of non-immune organs in RA pathogenesis. A total of 615 plausible effector genes, based on gene-based associations, expression-associated variants, and chromatin interaction, included targets of drugs approved for RA treatments and potentially repurposable drugs approved for other indications.</span></span></span></p> <p><span><span><span><b>Conclusion:</b> Our findings provide useful insights regarding RA genetic etiology and variant-driven RA pathogenesis.</span></span></span></p>
easyMF: A Web Platform for Matrix Factorization-based Biological Discovery from Large-scale Transcriptome Data
<p>With the development of high-throughput experimental technologies, large-scale RNA sequencing (RNA-Seq) data have been and continue to be produced, but have led to challenges in extracting relevant biological knowledge hidden in the produced high-dimensional gene expression matrices. Here, we present easyMF, a user-friendly web platform that aims to facilitate biological discovery from large-scale transcriptome data through matrix factorization (MF). The easyMF platform enables users with little bioinformatics experience to streamline transcriptome analysis from raw reads to gene expression and to decompose expression matrix from thousands of genes to a handful of metagenes. easyMF also offers a series of functional modules for metagene-based exploratory analysis with an emphasis on functional gene discovery. As a modular, containerized and open-source platform, easyMF can be customized to satisfy users’ specific demands and deployed as a web server for broad applications. easyMF is freely available at https://github.com/cma2015/easyMF. We demonstrated the application of easyMF with four case studies using 940 RNA sequencing datasets from maize (<em>Zea mays </em>L<em>.</em>).</p>
Data for "Potential of mid-tropospheric water vapor isotopes to improve large-scale circulation and weather predictability"
<p>This contains simulation results of "Potential of mid-tropospheric water vapor isotopes to improve large-scale circulation and weather predictability".</p>
Large scale virtual screening for finding inhibitor against the main protease from herbal medicine for SARS-Cov2 therapy
<p>The pandemic COVID-19 caused by SARS-CoV-2 has raised global health concerns. However, there is still no targeted medicine available for treatment of this disease. It is reported that 3CLpro plays an important role for the life cycle of virus and this protein has also been proved as an effective drug target in the case of severe acute respiratory syndrome coronavirus (SARS-CoV) and Middle East respiratory syndrome coronavirus (MERS-CoV). Medicinal plantsare important resource for drug discovery. Therefore, we executed large scale virtual screening on the herbal medicine library and hoped to find a potential drug againstthe main protease. As a result, we obtained three available compounds derived from Chinese herbal medicines through the docking and binding free energy calculation.Then 100 ns molecular dynamic (MD) were employed to uncover the potential mechanisms which is helpful for further drug optimization.</p>
Large-scale patterns of green turtle trophic ecology in the eastern Pacific Ocean
<p><span><span><span><span><span><span><span><span><span><span><span>Trophic position and niche width are fundamental components of a species' ecology, reflecting resource use, and influencing key demographic parameters such as somatic growth, maturation, and survival. The present data file contains results of stable isotope analysis (stable-carbon, δ<sup>13</sup>C; stable-nitrogen, δ<sup>15</sup>N values) that was conducted on bulk skin tissue of 718 green sea turtles (<i>Chelonia mydas</i>) distributed among 16 foraging areas in the eastern Pacific from the US to Chile, a range spanning ~10,000 km. These study sites </span></span></span></span></span></span></span></span></span></span></span>were distributed across a latitudinal range from 33.736 °N to 23.098°S in the Eastern Pacific (Site Code): Long Beach, USA (LB); San Diego Bay, USA (SDB); north Gulf of Ulloa, Mexico (NGU); Magdalena Bay, Mexico (BMA); Los Angeles Bay, Mexico (BLA); Infiernillo Channel, Mexico (CIN); Navachiste Bay, Mexico (NAV); Dulce Gulf, Costa Rica (DUL); Cocos Island, Costa Rica (COC); Gorgona Island, Colombia (GOR); Punta Espinosa, Galapagos Islands, Ecuador (IGP); Bahia Elizabeth, Galapagos Islands, Ecuador (IGE); Caleta Derek, Galapagos Islands, Ecuador (IGD); oceanic waters, Peru (PPE); Pisco Paracas Bay, Peru (PAR); and Mejillones Bay, Chile (MEJ). <span><span><span><span><span><span><span><span><span><span><span>Substantial variability in bulk tissue δ<sup>13</sup>C and δ<sup>15</sup>N values was found within and among sites. These data were also used to calculate the isotope niche space (used as a proxy for ecological niche space) using the Bayesian ellipse approach, and we found that isotope niche space varied among sites, likely influenced by the diversity of prey types and relative input of terrestrial- vs. marine-derived nutrients. In addition to providing additional spatial resolution for δ<sup>13</sup>C and δ<sup>15</sup>N isoscapes in the eastern Pacific, especially in coastal habitats, this study and resultant dataset further establish stable isotope analysis as an effective tool to study the trophic ecology of sea turtles across a variety of food webs and habitats. </span></span></span></span></span></span></span></span></span></span></span></p>
Behaviour-based large-scale planning Fleet Management System Evaluation
<p>This dataset was generated within the SafeLog project while evaluating the performance of a decentralized Fleet Management System (MARS). MARS attempts to find a solution to the multi-agent path finding problem in a decentralized manner, by representing each component as an autonomous agent. We compared the results of a large set of routing assignments within a benchmarking environment to a centralized planner, with respect to the goodness of the resulting routes as well as the computation time. The results can be found in the "MARS" directory within the dataset.</p> <p>We further investigated ROS 2 as a potential framework for an upcoming iteration of the software. To that end, an abstraction of the architecture was built in ROS and ROS 2, in order to compare the communication overhead in the context of a very large number of nodes. The results of this can be found in the "ROS" directory.</p> <p> </p> <p>Please refer to the README.md for further explanation.</p>
Training data for "From small to large-scale genome comparison", a tutorial for the Galaxy Training Network
<p>This dataset comprises two sequence pairs in FASTA format, one including two mycoplasmas (<em>Hyopneumoniae</em> 232 and 7422) and the other including the first chromosome of two plant genomes (<em>Aegilops tauschii</em> and <em>Triticum aestivum</em>).</p>
Data from: Large-scale recovery of an endangered amphibian despite ongoing exposure to multiple stressors
Amphibians are one of the most threatened animal groups, with 32% of species at risk for extinction. Given this imperiled status, is the disappearance of a large fraction of the Earth's amphibians inevitable, or are some declining species more resilient than is generally assumed? We address this question in a species that is emblematic of many declining amphibians, the endangered Sierra Nevada yellow-legged frog (Rana sierrae). Based on >7,000 frog surveys conducted across Yosemite National Park over a 20-y period, we show that, after decades of decline and despite ongoing exposure to multiple stressors, including introduced fish, the recently emerged disease chytridiomycosis, and pesticides, R. sierrae abundance increased sevenfold during the study and at a rate of 11% per year. These increases occurred in hundreds of populations throughout Yosemite, providing a rare example of amphibian recovery at an ecologically relevant spatial scale. Results from a laboratory experiment indicate that these increases may be in part because of reduced frog susceptibility to chytridiomycosis. The disappearance of nonnative fish from numerous water bodies after cessation of stocking also contributed to the recovery. The large-scale increases in R. sierrae abundance that we document suggest that, when habitats are relatively intact and stressors are reduced in their importance by active management or species' adaptive responses, declines of some amphibians may be partially reversible, at least at a regional scale. Other studies conducted over similarly large temporal and spatial scales are critically needed to provide insight and generality about the reversibility of amphibian declines at a global scale.
Data from: Large-scale manipulation of the acoustic environment can alter the abundance of breeding birds: evidence from a phantom natural gas field
1. Altered animal distributions are a consequence of human expansion and development. Anthropogenic noise can be an important predictor of abundance declines near human infrastructure, yet more information is needed to understand noise impacts at the spatial and temporal scales necessary to alter populations. 2. Energy development and associated anthropogenic noise are globally pervasive, and expanding. For example, 600,000 new natural gas wells have been drilled across central North America in less than twenty years. 3. We experimentally broadcast energy sector noise (recordings of compressor engines) in Southwest Idaho (USA). We placed arrays of speakers creating a "phantom natural gas field" in a large-scale experiment, and tested the effects of noise alone on breeding songbird abundance. To examine variation in human-caused noise, we broadcast two types of compressor noise, one with a slightly higher sound intensity and greater bandwidth than the other. 4. Our phantom natural gas field encompassed approximately 100 km2. We broadcast noise for over three continuous months, for each of two seasons, and quantified over 20,000 hours of background sound levels. 5. Brewer's sparrows (Spizella breweri) were affected by our narrowband playback, declining 30% 50 m from the speaker arrays. During our broadband playback, all species combined and Brewer's sparrows decreased 20% and 33% respectively at the scale of our sites (~0.5 km2; up to 400 m from speaker arrays). 6. Our results show the importance of incorporating the acoustic structure of noise when estimating the cost of noise exposure for populations and suggest an urgent need for noise mitigation, such as quieting compressor station noise, in energy extraction fields and natural areas broadly.
A large-scale assessment of plant dispersal mode and seed traits across human-modified Amazonian forests
1. Quantifying the impact of habitat disturbance on ecosystem function is critical for understanding and predicting the future of tropical forests. Many studies have examined post-disturbance changes in animal traits related to mutualistic interactions with plants, but the effect of disturbance on plant traits in diverse forests has received much less attention. 2. Focusing on two study regions in the eastern Brazilian Amazon, we used a trait-based approach to examine how seed dispersal functionality within tropical plant communities changes across a landscape-scale gradient of human modification, including both regenerating secondary forests and primary forests disturbed by burning and selective logging. 3. Surveys of 230 forest plots recorded 26,533 live stems from 846 tree species. Using herbarium material and literature, we compiled trait information for each tree species, focusing on dispersal mode and seed size. 4. Disturbance reduced tree diversity and increased the proportion of lower wood-density and smaller-seeded tree species in study plots. Unexpectedly, disturbance also increased the proportion of stems with seeds that are ingested by animals and reduced those dispersed by other mechanisms (e.g. wind). Older secondary forests had functionally similar plant communities to the most heavily disturbed primary forests. 5. <i>Synthesis</i>. Anthropogenic disturbance has major effects on the seed traits of tree communities, with implications for mutualistic interactions with animals. The higher importance of animal-mediated seed dispersal in disturbed and recovering forests highlights the importance of avoiding defaunation or promoting faunal recovery. The changes in mean seed width suggest larger vertebrates hold especially important functional roles in these human-modified forests. Monitoring fruit and seed traits can provide a valuable indicator of ecosystem condition, emphasising the importance of developing a comprehensive plant traits database for the Amazon and other biomes.
Data from: Large scale variation in birth timing and synchrony of a large herbivore along the latitudinal and altitudinal gradients
<p>1. Hopkins' Bioclimatic Law predicts geographic patterns in phenological timing by establishing a correspondence between latitudinal and altitudinal gradients. First proposed for key phenological events of plants, such as leaf sprouting or flowering dates, this law has rarely been used to assess the geographical equivalence of key life history traits of mammals.</p> <p>2. We hypothesize that (H1) parturition dates of European roe deer (Capreolus capreolus) are delayed and more synchronized at higher latitudes and altitudes, (H2) parturition timing varies along latitudinal and altitudinal gradients in a way that matches the Hopkins' Bioclimatic Law, and (H3) females adjust parturition timing to match the period of high energy demand with peak resource availability.</p> <p>3. We used parturition dates of 7,444 European roe deer from Switzerland to assess altitudinal variation in birth timing and synchrony from 288 to 2,366 m a.s.l. We then performed a literature survey to compare altitudinal results with those from different populations along the species' latitudinal range of distribution. Finally, we performed spatial analysis combining our highly resolved altitudinal data on parturition dates with plant phenology data.</p> <p>4. As expected, parturition dates were delayed with increasing latitude and altitude. This delay matched the Bioclimatic Law, as the effect of 1º increase in latitude was similar to 120 m increase in altitude. However, while parturitions were more synchronized with increasing altitude, we did not detect any trend along the latitudinal gradient. Finally, plant phenology explained altitudinal variation in parturition timing better than a linear effect of altitude.</p> <p>5. Our findings clearly demonstrate the ability of a large herbivore to match parturition timing with phenological conditions across the altitudinal gradient, even at the smallest spatial scales. </p>
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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.