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267 results for “genetic change”
Tree mortality risks under climate change in Europe: assessment of silviculture practices and genetic conservation networks
<p>General context: Climate change can positively or negatively affect abiotic and biotic drivers of tree mortality. Process-based models integrating these climatic effects are only seldom used at species distribution scale.</p> <p>Objective: The main objective of this study was to investigate the multi-causal mortality risk of five major European forest tree species across their distribution range from an ecophysiological perspective, to quantify the impact of forest management practices on this risk and to identify threats on the genetic conservation network.</p> <p><br> Methods: We used the process-based ecophysiological model CASTANEA to simulate the mortality risk of \textit{Fagus sylvatica}, \textit{Quercus petraea}, \textit{Pinus sylvestris}, \textit{Pinus pinaster} and \textit{Picea abies} under current and future climate conditions, while considering local silviculture practices. The mortality risk was assessed by a composite risk index \textit{(CRIM)} integrating the risks of carbon starvation, hydraulic failure and frost damage. We took into account extreme climatic events with the \textit{CRIM$_{max}$}, computed as the maximum annual value of the \textit{CRIM}.</p> <p><br> Results: The physiological processes' contributions to \textit{CRIM} differed among species: it was mainly driven by hydraulic failure for \textit{P. sylvestris} and \textit{Q. petraea}, by frost damage for \textit{P. abies}, by carbon starvation for \textit{P. pinaster}, and by a combination of hydraulic failure and frost damage for \textit{F. sylvatica}. Under future climate, projection showed an increase of \textit{CRIM} for \textit{P. pinaster} but a decrease for \textit{P. abies}, \textit{Q. petraea} and \textit{F. sylvatica}, and little variation for \textit{P. sylvestris}. Under the harshest future climatic scenario, forest management decreased the mean \textit{CRIM} for \textit{P. sylvestris}, increased it for \textit{P. abies} and \textit{P. pinaster} and had no major impact for the two broadleaved species. By the year 2100, 38\% to 90\% of the conservation units are at extinction threat (\textit{CRIM$_{max}$}=1), depending on the species.</p> <p><br> Conclusions: Using a process-based ecophysiological model allowed us to disentangle the multiple drivers of tree mortality under current and future climate. Taking into account the positive effect of increased CO$_2$ on fertilization and water use efficiency, the average risks may increase or decrease in the future depending on species and sites. However, considering extreme climatic events, future projections are as pessimistic than those obtained with bioclimatic niche models.</p> <p> </p> <p>Abbreviation for column:</p> <p>X Longitude<br> Y Latitude<br> LAImax Leaf area index max reach<br> Nha Density per hectar<br> Vha Volume per hectar<br> NEE Net ecosystem exchange<br> NPP net primary production<br> Reco Respiration ecosystem<br> GPP Gross primary production<br> Etveg Evapotranspiration canopy<br> Etsol Evapotranspiration sol<br> TR tree transpiration<br> ETP evapotranspiration potentiel<br> BiomassOfReserves Biomass of reserve<br> rw ring width<br> dbh diameter at breast heast<br> height height<br> BBday Budburst date<br> rFD risk of frost<br> CRIM_max Maximum combined risk index of mortality reach<br> rNSC risk of carbon starvation<br> rPLC risk of embolism<br> rPLC_max Maximum risk of embolism reach<br> CRIM combined risk index of mortality<br> Climate Climatic model<br> rNSC_max maximum risk of carbon starvation reach<br> rFD_max Maximum risk of frost reach<br> Scenario_Sylvicol null means no silvulcture simulated<br> species species<br> Country Country<br> alt_watch altitude of climate simulated<br> grid_watch number of the pixel point of WATCH<br> grid_eurocordex number of the pixel point of Eurocordex<br> Pinus_sylvestris 0 abscence ; 1 presence<br> Fagus_sylvatica 0 abscence ; 1 presence<br> Quercus_petraea 0 abscence ; 1 presence<br> Picea_abies 0 abscence ; 1 presence<br> Pinus_pinaster 0 abscence ; 1 presence</p> <p> </p>
Neural, genetic, and developmental changes underlie evolving butterfly mate preference
<p>Many studies have linked genetic variation to behavior, but the links between that variation and the neural circuits that drive behavior remain elusive. We investigated the architecture of mate choice behavior in <em>Heliconius</em> butterflies, which use vision to identify preferred mates based on wing color patterns. We found that <em>Heliconius</em> <em>cydno</em> mate preference is associated with inter-photoreceptor inhibition of ultraviolet-sensitive photoreceptors (PRs) by long-wavelength sensitive PRs; identified a small number of genetic loci associated with preference variation; and began to link these multiple layers of behavior variation together through analyses of developmental gene networks. Our results support the idea that altered peripheral neural computations, driven by changes to underlying developmental genetic processes, can significantly and rapidly alter essential behaviors. </p> <p>This dataset contains processed data, scripts, and notebooks that were used to analyze the RNA-seq data presented in the associated publication. </p>
Data, code, and supplementary materials for Pearman P. B., Broennimann, O., et al. Monitoring species genetic diversity in Europe varies greatly and overlooks potential climate change impacts. Nature Ecology & Evolution
<p>The repository contains several archives of digital materials that were used and/or produced in the analyses presented in Pearman, P. B. and Broennimann et al. Monitoring species genetic diversity in Europe varies greatly and overlooks potential climate change impacts. <strong>Nature Ecology & Evolution</strong>, likely 2023. These archives include (1) Supplementary Materials files ; (2) Data and code to generate country-level maps and plots; and (3) data and code to generate all maps of species and joint climate niche marginality, all in G-zipped tar archives. Readme files are available in each archive to guide running of the scripts and identification of objects in the Supplementary Materials. Please see the paper for all co-authors names, and the methods, the results obtained, and discussion of their implications.</p> <p>This work is dedicated to the memory of our friend and colleague Michael Bruford (1963-2023).</p>
Data from: Genetic, phenotypic, and environmental drivers of local adaptation and climate-change induced maladaptation in yellow warblers
Open the record for dataset details and reuse information.
Genetic, developmental and neural changes underlying evolving butterfly mate preference
Open the record for dataset details and reuse information.
Data from: Phylogeography, population genetics, and distribution modeling reveal vulnerability of Scirpus longii (Cyperaceae) and the Atlantic Coastal Plain Flora to climate change.
A proactive approach to conservation must be predictive, anticipating how habitats will change and which species are likely to decline or prosper. We use composite species distribution modeling to identify suitable habitats for 18 members of the North American Atlantic Coastal Plain Flora (ACPF) since the Last Glacial Maximum and project these into the future. We then use Scirpus longii (Cyperaceae), a globally imperiled ACPF sedge with many of the characteristics of extinction vulnerability, as a case study. We integrate phylogeographic and population genetic analyses and species distribution modeling to develop a broad view of its current condition and prognosis for conservation. We use genotyping-by-sequencing to characterize the genomes of 142 S. longii individuals from twenty populations distributed throughout its range (New Jersey to Nova Scotia). We measure the distribution of genetic diversity in the species and reconstruct its phylogeographic history using SNAPP and RASE. Extant populations of S. longii originated from a single refugium south of the Laurentide ice sheet around 25 thousand years ago. The genetic diversity of S. longii is exceedingly low, populations exhibit little genetic structure, and the species is slightly inbred. Projected climate scenarios indicate that nearly half of extant populations of S. longii will be exposed to unsuitable climate by 2070. Similar changes in suitable habitat will occur for many other northern ACPF species – centers of diversity will shift northward and Nova Scotia may become the last refuges for those species not extinguished.
Data from: How sea-level change mediates genetic divergence in coastal species across regions with varying tectonic and sediment processes
Plate tectonics and sediment processes control regional continental shelf topography. We examine the genetic consequences of how glacial-associated sea-level change interacted with variable near-shore topography since the last glaciation. We reconstructed the size and distribution of areas suitable for tidal estuary formation from the Last Glacial Maximum, ~20 thousand years ago, to present from San Francisco, California, USA (~38 °N) to Reforma, Sinaloa, Mexico (~25 °N). We assessed range-wide genetic structure and diversity of three co-distributed tidal estuarine fishes (California Killifish, Shadow Goby, Longjaw Mudsucker) along ~4,600 km using mitochondrial control region and cytB sequence, and 16–20 microsatellite loci from a total of 524 individuals. Results show that glacial-associated sea-level change limited estuarine habitat to few, widely separated refugia at glacial lowstand, and present-day genetic clades were sourced from specific refugia. Habitat increased during postglacial sea-level rise and refugial populations admixed in newly formed habitats. Continental shelves with active tectonics and/or low sediment supply were steep and hosted fewer, smaller refugia with more genetically differentiated populations than on broader shelves. Approximate Bayesian computation favored the refuge-recolonization scenarios from habitat models over isolation by distance and seaway alternatives, indicating isolation at lowstand is a major diversification mechanism among estuarine (and perhaps other) coastal species. Because sea-level change is a global phenomenon, we suggest this top-down physical control of extirpation-isolation-recolonization may be an important driver of genetic diversification in coastal taxa inhabiting other topographically complex coasts globally during the Mid- to Late Pleistocene and deeper timescales.
Climate associated genetic variation in Fagus sylvatica and potential responses to climate change in the French Alps
<p><span><span><span><span><span><span><span><span><span><span><span>Local adaptation patterns have been found in many plants and animals, highlighting the genetic heterogeneity of species along their range of distribution. In the next decades, global warming is predicted to induce a change in the selective pressures that drive this adaptive variation, forcing a reshuffling of the underlying adaptive allele distributions. For species with low dispersion capacity and long generation time such as trees, the rapidity of the change could imped the migration of beneficial alleles and lower their capacity to track the changing environment. Identifying the main selective pressures driving the adaptive genetic variation is thus necessary when investigating species capacity to respond to global warming. In this study, we investigate the adaptive landscape of <i>Fagus sylvatica</i> along a gradient of populations in the French Alps. Using a double digest restriction-site associated DNA (ddRAD) sequencing approach, we identified 7,000 SNPs from 570 individuals across 36 different sites. A redundancy analysis (RDA)-derived method allowed us to identify several SNPs that were strongly associated with climatic gradients; moreover, we defined the primary selective gradients along the natural populations of <i>F. sylvatica</i> in the Alps. Strong effects of elevation and humidity, which contrast north-western and south-eastern site, were found and were believed to be important drivers of genetic adaptation. Finally, simulations of future genetic landscapes that used these findings allowed identifying populations at risk for <i>F. sylvatica </i>in the Alps, which could be helpful for future management plans. </span></span></span></span></span></span></span></span></span></span></span></p>
The genetic consequences of captive breeding, environmental change and human exploitation in the endangered peninsular pronghorn
<p>Binned microsatelite data of the peninsular pronghorn subspecies (Antilocapra americana peninsularis). Data is organized in by year manner. Each population correspond to the year samples were collected from, for example Pop_09 corresponds to samples collected from year 2009, whereas Pop_21 corresponds to the samples collected from year 2021.</p> <p> </p>
Phenotypic but no genetic adaptation in zooplankton 24 years after an abrupt +10°C climate change
<p>Data and scripts for Pais-Costa et al 2022</p>
Population changes in a whale breeding ground revealed by citizen science noninvasive genetics unique microsatellite profiles of southern right whales
<p>Historical exploitation, and a combination of current anthropogenic impacts, such as climate change and habitat degradation, impact the population dynamics of marine mammalian megafauna. Right whales (<em>Eubalaena </em>spp.) are large cetaceans recovering from hunting, whose reproductive and population growth rate appear to be impacted by climate change. We apply noninvasive genetic methods to monitor southern right whale (<em>E. australis</em>, SRW) and test the application of noninvasive genetics to minimise the observer effects on the population. Our aim is to describe population structure, and interdecadal and interannual changes to assess species status in the Great Acceleration period of Anthropocene. As a basis for population genetic analyses, we collected samples from sloughed skin during post-migration epidermal moult. Considering the exploration-exploitation dilemma, we collaborated with whale-watching companies, as part of a citizen science approach and to reduce ad hoc logistic operations and biopsy equipment. We used mitochondrial and microsatellite data and population genetic tools. We report for the first time the genetic composition and differentiation of the Namibian portion of the range. Population genetic parameters suggest that South Africa hosts the largest population. This corresponds with higher estimates of current gene flow from Africa compared to older samples. We have observed considerable interannual variation in population density at the breeding ground and an interdecadal shift in genetic variability, evidenced by an increase in the point estimate inbreeding. Clustering analyses confirmed differentiation between the Atlantic and Indo-Pacific, presumably originating during the ice ages. We show that population monitoring of large whales, essential for their conservation management, is feasible using noninvasive sampling within non-scientific platforms. Observed patterns are concurrent to changes of movement ecology and decline in reproductive success of the South African population, probably reflecting a large-scale restructuring of pelagic marine food webs.</p>
Riding an escalator: upward range shift and patterns of genetic response to climate change in Acer caudatifolium
<p><strong>Aim </strong></p> <p>Rapid global warming is threatening global biodiversity, and it will likely lead to varying degrees of local adaptation, particularly among plant species. Besides, rising temperatures frequently result in upslope distribution shifts towards climatic optima (i.e., the escalator effect) within a limited dispersal space, such as in insular environments. Here, we integrated ecological and genetic approaches to investigate how climate change will impact the genetic compositions and spatial distributions of Taiwan endemic maple <em>Acer caudatifolium</em>.</p> <p><strong>Location </strong></p> <p>Taiwan</p> <p><strong>Methods </strong></p> <p>We estimate the distribution range shifts of <em>A. caudatifolium</em> under climate change through species distribution modeling (SDM). We also use 368 genotyped samples to infer dispersal and genetic hotspots and quantify the contributions of geography/environments to genetic variations. We further assess the potential risk to <em>A. caudatifolium</em> under different climate warming scenarios.</p> <p><strong>Results </strong></p> <p>We detected three genetic diversity hotspots near mountainous glacial refugia and two dispersal hotspots in northern Taiwan and the central-to-southern Central Mountain Range. Overall range reductions and an altitudinal upslope-shift were observed in SDM. Using both linear and nonlinear regression approaches, we found that genetic variation was significantly associated with geographic distance and elevation-related climatic variables. The potential risk analysis revealed that the northernmost summit-dwelling populations were the most vulnerable. Furthermore, the major risk factor differed among populations: for central populations, temperature and precipitation jointly determined the potential risk, whereas precipitation was the only risk factor for northern and southern populations.</p> <p><strong>Main conclusions</strong></p> <p>This case study demonstrates how various climate factors, mountain height, and the availability of corridors jointly determine the demographic fates and sustainability of island maples in the face of climate change. This study also provided estimates of the implications of global warming, which can be conducive to developing appropriate conservation strategies.</p>
Genetic response to human‐induced habitat changes in the marine environment: A century of evolution of European sprat in Landvikvannet, Norway
<p>Habitat changes represent one of the five most pervasive threats to biodiversity. However, anthropogenic activities also have the capacity to create novel niche spaces to which species respond differently. In 1880, one such habitat alterations occurred in Landvikvannet, a freshwater lake on the Norwegian coast of Skagerrak, which became brackish after being artificially connected to the sea. This lake is now home to the European sprat, a pelagic marine fish that managed to develop a self-recruiting population in barely few decades. Landvikvannet sprat proved to be genetically isolated from the three main populations described for this species; i.e. Norwegian fjords, Baltic Sea, and the combination of North Sea, Kattegat and Skagerrak. This distinctness was depicted by an accuracy self-assignment of 89% and a highly significant F<sub>ST</sub> between the lake sprat and each of the remaining samples (average of ≈0.105). The correlation between genetic and environmental variation indicated that salinity could be an important environmental driver of selection (3.3% of the 91 SNPs showed strong associations). Likewise, Isolation by Environment was detected for salinity, although not for temperature, in samples not adhering to an Isolation by Distance pattern. Neighbour-joining tree analysis suggested that the source of the lake sprat is in the Norwegian fjords, rather than in the Baltic Sea despite a similar salinity profile. Strongly drifted allele frequencies and lower genetic diversity in Landvikvannet compared with the Norwegian fjords concur with a founder effect potentially associated with local adaptation to low salinity. Genetic differentiation (F<sub>ST</sub>) between marine and brackish sprat is larger in the comparison Norway- Landvikvannet than in Norway-Baltic, which suggests that the observed divergence was achieved in Landvikvannet in some 65 generations, i.e., 132 years, rather than gradually over thousands of years (the age of the Baltic Sea), thus highlighting the pace at which human-driven evolution can happen.</p>
Data from: Small but connected islands can maintain populations and genetic diversity under climate change
<p>In response to the striking effects of environmental change, conservation strategies often include the identification of conservation areas that can effectively maintain vulnerable species. Consequently, identifying system-specific conditions that maintain the demographic and genetic viability of species of conservation concern is essential. Connectivity plays a critical role in the persistence of populations. Islands have been model systems to understand connectivity and metapopulation processes and have emerged as particularly favorable targets for conservation. While islands can be isolated from mainland disturbances, it is unknown what degree of isolation is necessary to avoid unfavorable changes but remain sufficiently connected to maintain population viability. To test this question, we explored connectivity within the Apostle Islands, an archipelago of 22 islands within Lake Superior, by comparing historical and contemporary trends in ice bridge connectivity and by simulating the effect of reduced connectivity within this system. We developed a demographically informed individual-based model to explicitly test the role of connectivity to influence the persistence and genetic diversity of American marten (<em>Martes americana</em>), a forest carnivore at risk across its southern range boundary. We found that genetic diversity was resilient to moderate changes in ice cover, but a complete loss of connectivity resulted in rapid genetic erosion. Despite genetic erosion, populations persisted as long as nominal connectivity occurred between islands. Our work suggests that connectivity will decline, but martens would be resilient to moderate changes, and, in the short term, the Apostle Islands can act as a refuge along this species' southern range boundary. Identifying thresholds in connectivity that maintain populations but allow for isolation from disturbance will be necessary to identify suitable areas for species conservation across space and time.</p>
Supplementary Materials for Respiratory Syncytial Virus Genetic Diversity and Lineage Changes in Ireland pre- and post-COVID-19 pandemic
<p><span>The datasets presented here are the list of publicly available reference sequences used in NextClade (</span><a href="https://github.com/rsv-lineages"><span>https://github.com/rsv-lineages</span></a><span>) to provide the lineage classification of samples and used as reference for analysis of Irish RSV sequences (Supplementary Table 1), the list of sequenced Human respiratory syncytial viruses (RSV) in the Republic of Ireland during the period 2015-2024 (Supplementary Table 2) and the details of sequences downloaded from GISAID corresponding to European RSV sequences for the same period of time.</span></p> <p><span> </span></p> <p><span>Description of the data and file structure</span></p> <p><span>The files in this dataset were formatted in Microsoft Excel 2019 to allow easy access and manipulation of the data. The data corresponds to details on the sequences used in the analysis of RSV in Europe during the 2015-2024 period. The contents of the files are described below: -<strong>Supplementary Table 1</strong>: NextClade Reference Sequences publicly available at </span><a href="https://github.com/rsv-lineages"><span>https://github.com/rsv-lineages</span></a><span>. -<strong>Supplementary Table 2</strong>: Irish RSV Sequence Details contains details on the sequences generated in our study with the GenBank accession number, the GISAID accession number, reported collection RSV season, Nextclade assigned taxonomical clade. -<strong><span>Supplementary Table 3</span></strong>: European RSV Sequence Details contains a list of European RSV sequences downloaded from GISAID (</span><a href="https://gisaid.org/"><span>https://gisaid.org/</span></a><span>) with details on the sampling RSV season, the accession number, country of collection, and lineage assigned by NextClade.</span></p> <p><span> </span></p> <p><span>Sharing/Access information</span></p> <p><span>The databases used to extract and deposit the data were:</span></p> <p><span>-GenBank: the North American repository of sequences and publicly available at: </span><a href="https://www.ncbi.nlm.nih.gov/genbank/"><strong><span>https://www.ncbi.nlm.nih.gov/genbank/</span></strong></a><span> </span></p> <p><span>-GISAID:International consortium of sequences with some metadata and clinical data. It is a semi-public repository with easy access requiring only to create an account. Available at: </span><a href="https://gisaid.org/"><strong><span>https://gisaid.org/</span></strong></a></p> <p><span>-Github: reference sequences of RSV are available at the repository </span><a href="https://github.com/"><strong><span>https://github.com/</span></strong></a></p>
Data from: Genetic divergence along a climate gradient shapes chemical plasticity of a foundation tree species to both changing climate and herbivore damage
<p><span>Climate change is threatening the persistence of many tree species via independent and interactive effects on abiotic and biotic conditions. In addition, changes in temperature, precipitation, and insect attacks can alter the traits of these trees, disrupting communities and ecosystems. For foundation species such as <em>Populus</em>, phytochemical traits are key mechanisms linking trees with their environment and are likely jointly determined by interactive effects of genetic divergence and variable environments throughout their geographic range. Using reciprocal Fremont cottonwood (<em>Populus</em> <em>fremontii</em>) common gardens along a steep climatic gradient, we explored how environment (garden climate and simulated herbivore damage) and genetics (tree provenance and genotype) affect both foliar chemical traits and the plasticity of these traits. We found that: 1) Constitutive and plastic chemical responses to changes in garden climate and damage varied among defense compounds, structural compounds and nitrogen. 2) For both defense and structural compounds, plastic responses to garden climate depended on the climate in which a population or genotype evolved. Specifically, trees originating from cool provenances showed higher defense plasticity in response to climate changes than trees from hotter provenances. 3) Trees from cool provenances growing in cool conditions expressed the lowest constitutive defense levels but the strongest induced (plastic) defenses. 4) The combination of hot growing conditions and simulated herbivory switched the strategy used by these genotypes, increasing constitutive defenses but erasing the capacity for induction. Because Fremont cottonwood chemistry plays a major role in shaping riparian communities and ecosystems in the southwestern US, the effects of changes in phytochemical traits can be wide-reaching. As the southwestern US is confronted with warming temperatures and insect outbreaks, these results improve our capacity to predict ecosystem consequences of climate change and inform selection of tree genotypes for conservation and restoration purposes. </span></p>
Life on the edge: a changing genetic landscape within an iconic American pika metapopulation over the last half century
<p>Declines and extirpations of American pika (<em>Ochotona princeps</em>) populations at historically occupied sites started being documented in the literature during the early 2000s. Commensurate with global climate change, many of these losses at peripheral and lower elevation sites have been associated with changes in ambient air temperature and precipitation regimes. Here, we report on a decline in available genetic resources for an iconic American pika metapopulation, located at the southwestern edge of the species distribution in the Bodie Hills of eastern California, USA. Composed of a highly fragmented habitat created by hard rock mining, the ore dumps at this site were likely colonized by pikas at the end of the 19th century from nearby natural talus outcrops. Genetic data extracted from both contemporary samples and archived natural history collections allowed us to track population and patch-level genetic diversity for Bodie pikas across three distinct sampling points during the last half-century (1948, 1988-1991, 2013-2015). In addition to declines in within-population allelic diversity and expected heterozygosity, we observed an increase in population structure and a reduction in effective population size from more extensive sampling of extant patches during 1988-1991 and 2013-2015, respectively. Furthermore, census records from the last 50 years as well as archived museum samples collected in 1947 from a nearby pika population in the Wassuk range (NV, USA) provide further support for the increasing isolation and genetic coalescence occurring in this region. This study highlights the importance of museum samples and long-term monitoring in contextualizing our understanding of population viability.</p>
Testing Trametinib and Dabrafenib as a Potential Targeted Treatment in Cancers With BRAF Genetic Changes (MATCH-Subprotocol H)
ClinicalTrials.gov study NCT04439292. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Testing Crizotinib as Potentially Targeted Treatment in Cancers With MET Genetic Changes (MATCH - Subprotocol C1)
ClinicalTrials.gov study NCT06357975. IPD Sharing: YES. Countries: 1. Publications: 0.
Testing AZD4547 as a Potential Targeted Treatment in Cancers With FGFR Genetic Changes (MATCH-Subprotocol W)
ClinicalTrials.gov study NCT04439240. IPD Sharing: Not stated. Countries: 1. Publications: 1.
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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.