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2,260 results for “Climatic change”
RESCCUE (RESilience to cope with Climate Change in Urban arEas) EU Project - WP1 Data
<p>These files contain the data generated for the Work Package 1 of the RESCCUE project. RESCCUE project was devised to analyse future urban impacts due to climate change so as to improve resilience of three target cities: Barcelona, Bristol and Lisbon. To achieve that, future climate projections and changes in extreme events were obtained at a local scale for the Work Package 1. Several past studies were analysed to identify all the climate variables and extreme events that could affect urban areas, e.g. heavy rainfall, heat waves and storm surge. All available meteorological observations in the considered areas were collected and filtered through several tests (general consistency, outliers and inhomogeneities) in order to handle datasets long enough and of good quality. As a way to obtain the best input possible, every valid station was extended in time by downscaling process with the ERA-Interim reanalysis.</p> <p>Future climate projections were obtained for ten different global climate models considering two of the main Representative Concentration Pathways (RCP4.5 and RCP8.5) established in the last IPCC report. These models were downscaled through a sophisticated statistical methods (analogous stratification and transfer functions among others) to project local climate according to the identified climate drivers: temperature, precipitation, wind, relative humidity, sea level pressure, potential evapotranspiration, snowfall, wave height and sea level; and for both climate and decadal timescales. Already downscaled models were first validated for the method and afterwards verified, obtaining small errors and good coherent simulations.</p> <p>Extreme events of the main climate drivers were obtained and analysed for both historical and future scenarios through the combination of several statistical methods as well as through the analysis of several teleconnectionpatterns. Derived events such as heat waves, drought, snowstorms, storm surges, wave height among others were afterwards inferred for climate, decadal and seasonal scale.</p> <p><strong>FILES</strong></p> <p>The data generated have been grouped into three different files, one for each studied area: the hydrological basin of the rivers Ter and Llobregat (the area that influences Barcelona), the geographical area between England and South Wales (the area that influences Bristol) and the Lisbon area.</p> <p>Each of the files contains a self-explanatory file detailing the structure of the information contained and the way in which it is provided.</p> <p><strong>ABOUT THE RESCCUE PROJECT</strong></p> <p>The RESCCUE project, Resilience to cope with Climate Change in Urban Areas, –a multisectorial approach focusing on water– aims to provide practical and innovative models and tools to end-users facing climate change challenges to build more resilient cities.</p> <p>The project provides tools to assess urban resilience from a multisectorial approach, for current and future climate scenarios and including multiple hazards. This holistic approach to urban resilience will enable city managers and urban systems operators to decide the optimal investments to cope with future situations.</p> <p>For more information, please visit <a href="http://www.resccue.eu/">www.resccue.eu</a></p>
Expert surveys on high-end climate change
<p>Data from two surveys conducted on the back of the Adaptation Futures conferences held in 2016 and 2018 and analysed for an article in Climatic Change.</p>
Data from: Historical demography and climate driven distributional changes in a widespread Neotropical freshwater species with high economic importance
The Neotropical region exhibits the greatest worldwide diversity and the diversification history of several clades is related to the puzzling geomorphologic and climatic history of this region. The freshwater Amazon ecoregion contains the main hydrographic basins of the Neotropical region that are highly dendritic and ecologically diverse. It contains a rich and endemic fish fauna, including one of its most iconic and economically important representatives, the bony-tongue Arapaima gigas (Teleostei, Osteoglossiformes). Here, we evaluated the projected distribution of the genus in different historical periods (Present, Last Glacial Maximum, Last Interglacial Maximum and Near Future) and interpreted these results in light of the genomic diversity and modeled historical demography. For that, we combined species distribution models, population genetic analysis using SNPs and deep learning model selection. We analyzed a representative sample of the genus from the two basins where it naturally occurs, four localities in the Amazon (Am) and three in the Tocantins-Araguaia (To-Ar) basin, as well as individuals from three fish farms. We inferred a potentially smaller distribution in the glacial period, with a possible refuge in central Am. Our genetic data agrees with this result, suggesting a higher level of genetic diversity in the Am basin, compared to that observed in To-Ar. Our deep learning model comparison indicated that the To-Ar basin was colonized by the population from the Am basin. Considering a global warming scenario in the near future, A. gigas could reach an even larger range, especially if anthropogenic related dispersal occurs, potentially invading new areas and impacting their communities.
Data from: A resurrection study reveals limited evolution of thermal performance in response to recent climate change across the geographic range of the scarlet monkeyflower
<p>Evolutionary rescue can prevent populations from declining under climate change, and should be more likely at high-latitude, "leading" edges of species' ranges due to greater temperature anomalies and gene flow from warm-adapted populations. Using a resurrection study with seeds collected before and after a seven-year period of record warming, we tested for thermal adaptation in the scarlet monkeyflower <i>Mimulus</i> <i>cardinalis</i>. We grew ancestors and descendants from northern-edge, central, and southern-edge populations across eight temperatures. Despite recent climate anomalies, populations showed limited evolution of thermal performance curves. However, one southern population evolved a narrower thermal performance breadth by 1.31 °C, which matches the direction and magnitude of the average decrease in seasonality experienced. Consistent with the climate variability hypothesis, thermal performance breadth increased with temperature seasonality across the species' geographic range. Inconsistent with performance trade-offs between low and high temperatures across populations, we did not detect a positive relationship between thermal optimum and mean temperature. These findings fail to support the hypothesis that evolutionary response to climate change is greatest at the leading edge, and suggest that the evolution of thermal performance is unlikely to rescue most populations from the detrimental effects of rapidly changing climate.</p>
Data from: Multi-population seedling and soil transplants show possible responses of a common tropical montane tree species (Weinmannia bangii) to climate change
<p>A possible response of many plant species to global warming is migration to higher elevations. However, these migrations may not be required if species can tolerate higher temperatures, or may be prevented if there are other factors such as changes in soil conditions that make upslope areas unsuitable.</p> <p>We used a set of 3-year field transplant experiments in the remote Peruvian Andes to simulate two possible responses of an abundant tropical montane cloudforest tree species (Weinmania bangii) to global warming: (1) "upward migration", in which case seedlings of W. bangii's were grown at their current elevation/temperature but in soils transplanted from higher elevations; and (2) "migration failure", in which case seedlings were transplanted downslope along with their home soils into areas that are 1°C or 2°C warmer. We conducted separate experiments with populations from the upper/leading edge, middle and lower/trailing edges of W. bangii's elevational/thermal range to assess the influence of local adaptation on responses to changes in temperature or soil.</p> <p>We found that seedling survival and growth were not affected by changes in soil conditions, regardless of the origin population. However, seedling survival decreased with temperature. A simulated warming of 1°C caused a significant reduction in the survival of seedlings transplanted from the mid-range population, and 2°C warming caused a severe decrease in the survival of seedlings transplanted from both the mid-range and bottom-edge populations.</p> <p>Synthesis. Our findings reveal that rising temperatures are a serious threat to plants, especially in populations growing in the hotter portion of their species' range. At least in the case of W. bangii, novel soil conditions will not limit the establishment or growth of seedlings at higher elevations. As such, decreases in the survivorship at lower elevations may be offset through upward migrations as temperatures continue to increase.</p>
Data from: Land-use change interacts with climate to determine elevational species redistribution
Climate change is driving global species redistribution with profound social and economic impacts. However, species movement is largely constrained by habitat availability and connectivity, of which the interaction effects with climate change remain largely unknown. Here we examine published data on 2798 elevational range shifts from 43 study sites to assess the confounding effect of land-use change on climate-driven species redistribution. We show that baseline forest cover and recent forest cover change are critical predictors in determining the magnitude of elevational range shifts. Forest loss positively interacts with baseline temperature conditions, such that forest loss in warmer regions tends to accelerate species' upslope movement. Consequently, not only climate but also habitat loss stressors and, importantly, their synergistic effects matter in forecasting species elevational redistribution, especially in the tropics where both stressors will increase the risk of net lowland biotic attrition.
Data from: Thermal tolerance and the importance of microhabitats for Andean frogs in the context of land-use and climate change
<p><span>1. Global warming is having impacts across the Tree of Life. Understanding species' physiological sensitivity to temperature change and how they relate to local temperature variation in their habitats is crucial to determining vulnerability to global warming. </span></p> <p><span>2. We ask how species' vulnerability varies across habitats and elevations, and how climatically-buffered microhabitats can contribute to reduce their vulnerability. </span></p> <p><span>3. We measured thermal sensitivity (critical thermal maximum – CT<sub>max</sub>) of 14 species of <i>Pristimantis</i> frogs inhabiting young and old secondary, and primary forests in the Colombian Andes. Exposure to temperature stress was measured by recording temperature in the understory and across five microhabitats. We determined the frogs' current vulnerability across habitats, elevations and microhabitats accounting for phylogeny and then ask how vulnerability varies under four warming scenarios: +1.5⁰C, +2⁰C, +3⁰C and +5⁰C. </span></p> <p>4. We found that CT<sub>max</sub> was constant across species regardless of habitat and elevation. However, species in young secondary forests are expected to become more vulnerable because of increased exposure to higher temperatures. Microhabitat variation could enable species to persist within their thermal temperature range as long as regional temperatures do not surpass +2°C. The effectiveness of microhabitat buffering decreases with a 2-3°C increase, and is almost null under a 5°C temperature increase.</p> <p><span>5. Microhabitats will provide thermal protection to Andean frog communities from climate change by enabling tracking of suitable climates through short distance movement. Conservation strategies, such as managing landscapes by preserving primary forests and allowing regrowth and re-connection of secondary forest would offer thermally buffered microhabitats and aid in the survival of this group. </span></p>
Data from: Developmental nutrition modulates metabolic responses to projected climate change
<ol> <li>Current policy has the world on track to experience around 3°C of warming by 2100. The responses of organisms to our warming world will be mediated by changes in physiological processes, including metabolic rate. Metabolic rate represents the energetic cost of living, and is fundamental to understanding the energy required to sustain populations. Current evidence indicates that animals have a limited capacity to adapt to warmer environments by reducing their metabolic rate. Consequently, animals may be more reliant on metabolic plasticity to ameliorate the thermodynamic effect of rising temperatures on physiological rates. However, metabolic plasticity is influenced by other environmental factors, including the nutritional quality of food. Elevated levels of atmospheric CO<sub>2</sub> are expected to reduce the protein and increase the carbohydrate concentration in plants, but we do not know how this will affect the response of metabolic rate to climate warming.</li> <li>Here we test the interactive effects of developmental dietary protein and carbohydrate concentrations on the metabolic plasticity of adult <i>Drosophila melanogaster</i> in response to a 3°C increase in temperature while accounting for variation associated with body mass and activity (resting metabolic rate).</li> <li>We show that the thermal sensitivity of resting metabolic rate is modulated by developmental nutrition with animals reared on nutritionally poor, low-protein diets showing the greatest increase in resting metabolic rate in response to simulated climate warming. We also show that if the nutritional quality of resources is unaffected by climate change, then temperature-induced increases in resting metabolic rate will be offset by decreases in mass, but the absolute energy requirements of animals will be elevated relative to current conditions despite this. If, on the other hand, temperatures rise and resources become more calorie-dense and carbohydrate-rich, then the resting metabolic rate of animals will remain relatively unchanged, but decreases in mass and activity may drive down the absolute energy requirements of animals.</li> <li>In the absence of evolutionary adaptation, these findings suggest that the combined plastic response of physiological, morphological, and behavioural traits to temperature and nutrition may be an important determinant of the ultimate outcome of climate change for populations.</li> </ol>
Marine plankton show threshold extinction response to Neogene climate change
<p>Taxonomic occurrence datasets to accompany the article entitled "Marine plankton show threshold extinction response to Neogene climate change." Spreadsheets contain International Ocean Discovery Program (IODP) site information, sample names, depth in meters below the seafloor (mbsf), age (in millions of years), and the number of occurrences of each taxon per sample. For the eastern equatorial Pacific (EEP) dataset, ages were calculated using the astronomically-tuned model of Tian <em>et al.</em> (2018). Southern Ocean (SO) age information comes from the Neptune Sandbox Berlin (NSB) database (Renaudie <em>et al. </em>2020), with age model quality reported as: very good (VG), good (G), medium (M), or poor (P). Only species-level data associated with "very good" age models were analyzed in our study; however, here we provide all data at the species and genus level, with age models of any quality.</p>
DATA & CODE for "Substrate-dependent fish have shifted less in distribution under climate change"
<p>Authors: Sarah M. Roberts*<sup>1</sup>, Andre M. Boustany<sup>2</sup>, Patrick N. Halpin<sup>1</sup></p> <p><strong>Author affiliations: </strong></p> <p>*<sup>1</sup>Marine Geospatial Ecology Lab, Nicholas School of the Environment and Earth Sciences, Duke University, Durham, NC 27708, US</p> <p><sup>2 </sup>Monterey Bay Aquarium, 886 Cannery Row, Monterey, CA 93940, USA</p> <p>This dataset and code run the necessary methods for the manuscript titled: "<strong>Substrate-dependent fish have shifted less in distribution under climate change. </strong><strong>Substrate-dependent fish have shifted less in distribution under climate change" </strong>published in Nature Communications Biology. In order to run the code, you need to request data from <a href="https://oceanadapt.rutgers.edu/">https://oceanadapt.rutgers.edu/</a>. The download is free, I just don't have permission to publish their data. Software needed is Rstudio and R. This is the updated and current version. </p>
Supporting data to 'Correlations between sea-level components are driven by regional climate change'
<p>Dataset supporting the initial submission of the manuscript 'Correlations between sea-level components are driven by regional climate change'</p>
Relative effects of climate and litter traits on decomposition change with time, climate and trait variability
<div class="WordSection1"> <ol> <li><span>Climate and litter quality drive litter decomposition, but there is currently little consensus on their relative importance, likely because studies differ in the duration, the climatic gradients, and variability in litter-trait values. Understanding these drivers is important because they determine the direct and indirect (via vegetation composition) effects of climate change on decomposition and thereby on carbon and nutrient cycling. </span></li> <li><span>We studied how microclimate (soil moisture and temperature) and litter traits interactively affect litter mass loss, by using a reciprocal litter translocation experiment along a large climatic gradient in Chile. We followed decomposition for two years and used 30 plant species with a wide spectrum of functional-trait values.</span></li> <li><span>Litter traits had a strong impact on litter decomposition across the gradient, while an increase in decomposition with soil moisture was observed only in the wettest climates. Overall, soil moisture increased considerably in importance, relative to trait effects, at later decomposition stages, from ca. 15% of the importance of traits after 3 and 6 months to ca. 110% after 24 months. Moreover, analyzing subsets of the 30 species showed that trait effects on litter decomposition gained in importance when including a greater variation in trait values.</span></li> <li><span><i>Synthesis.</i> The relative effects of litter traits and climate on decomposition depend on the ranges in climate and litter traits considered and change with time. Our study emphasizes the critical role of representative ranges in climate and functional trait values for understanding the drivers of litter decomposition and for improving predictions of climate-change effects on this important ecosystem process.</span></li> </ol> </div>
Data from: Solute Production and Transport Processes in Chinese Monsoonal Rivers: Implications for Global Climate Change
<p>Concentration-discharge (C-Q) relationships provide new insights into solute production processes. Temporal sampling and analyses are needed to investigate the chemical weathering behaviors and reduce the estimation errors of fluxes. But few studies have been done in Asian monsoonal rivers, which play an important role in global carbon cycle. We analyzed the dissolved solutes of Three largest rivers in China. Datong and Qingxi in Changjiang River were selected to represent the midterm and outlet of the Changjiang River. Lijin was selected as the outlet of the Yellow River. We analyzed the major ions, which can represent the chemical weathering index. Our study may help deepen the understanding of chemical weathering and solutes fluxes.</p>
Rapid climate change results in long-lasting spatial homogenization of phylogenetic diversity
<p>Scientific understanding of biodiversity dynamics, resulting from past climate oscillations and projections of future changes in biodiversity, has advanced over the past decade. Little is known about how these responses, past or future, are spatially connected. Analyzing the spatial variability in biodiversity provides insight into how climate change affects the accumulation of diversity across space. Here, we evaluate the spatial variation of phylogenetic diversity of European seed plants among neighboring sites and assess the effects of past rapid climate changes during the Quaternary on these patterns. Our work shows a marked homogenization in phylogenetic diversity across Central and Northern Europe linked to high climate change velocity and large distances to refugia. Our results suggest that the future projected loss in evolutionary heritage may be even more dramatic, as homogenization in response to rapid climate change has occurred among sites across large landscapes, leaving a legacy that has lasted for millennia.</p>
Model output for: Attributing causes of future climate change in the California Current System with multi-model downscaling
<p>Regional Ocean Modeling System outputs from dynamic downscaling of Coupled Model Intercomparison Project climate forcings in the California Current system, including projections with full climate forcings, as well as attribution experiments with only changes in wind, heat fluxes and other properties changing stratification, and boundary biogeochemical forcings. Output variables include euphotic zone integrated net primary productivity, and incident photosytnehtically available radiation, and ocean temperature, salinity, vertical velocity, and dissolved oxygen and nitrate concentrations at select depths.</p>
Grazing and climate change have site-dependent interactive effects on vegetation in Asian montane rangelands
<p>1. Climate over Asian montane rangelands is changing faster than the global average, posing serious threats to the future of the region's livestock-based economies and cultures. Effects of climate change on rangeland vegetation likely depend on grazing by herbivores but the potential responses of vegetation to such changes in climate and grazing regimes remains unclear.</p> <p>2. We examined vegetation responses to experimentally simulated climate change (warming, drought and increased rainfall) and grazing (clipping vegetation) between 2015-2018 at two mountain rangeland sites: Spiti valley, in the Indian Trans-Himalaya and Tost, in the Gobi-Altai Mountains in Mongolia.</p> <p>3. Clipping and climate change manipulations interactively reduced vegetation cover and biomass but did not affect species richness. Treatment effects and their interactions varied between sites. In ungrazed plots, vegetation cover and biomass declined sharply in response to warming (18-35%) and drought (20-50%) at the two sites, and, surprisingly also declined slightly in response to increased rainfall (20%) at Tost. While the effects of climate treatments were largely similar in the grazed and ungrazed plots in Tost, they were larger in the ungrazed plots in Spiti. The decline in vegetation cover was driven by a decline in the cover of both forbs and grasses.</p> <p>4. In combination, grazing and warming (Tost) or drought (Spiti) had sub-additive effects, i.e., the decrease in vegetation cover in response to grazing and warming/drought was less than the sum of their independent effects but greater than the effect of either manipulation alone. Of the two, warming had a greater effect than drought at the more arid site (Tost), while drought had a larger effect at the more mesic site (Spiti). <i>Synthesis and applications. </i>Our findings show that<i> </i>future changes in climate, including just over 1<sup>o</sup>C of warming, could undermine the sustainability of pastoral economies and the persistence of wildlife across Asian montane rangelands. Further, grazing by herbivores will play an important role in mediating rangeland responses to climate change; thus, pasture management in concert with local pastoralists will be crucial in mitigating the adverse effects of climate change on rangelands, pastoral livelihoods and wildlife populations.</p>
Data from: Modelling the potential impacts of climate change on the distribution of ichthyoplankton in the Yangtze Estuary, China
<p><span><a name="_Hlk10553342"><b>Aim: </b></a>Species distribution models (SDMs) are an effective tool to explore the potential distribution of terrestrial, freshwater, and marine organisms; however, SDMs have been seldom used to model ichthyoplankton distributions and thus our understanding of how larval stages of fishes will respond to climate change is still limited. Here, we developed SDMs to explore potential impacts of climate change on habitat suitability of ichthyoplankton.</span></p> <p><span><b>Location: </b>Yangtze Estuary, China</span></p> <p><span><b>Methods: </b>Using long-term ichthyoplankton survey data and a large set of marine predictor variables, we developed ensemble SDMs for five abundant ichthyoplankton species in the Yangtze Estuary (<i>Coilia mystus</i>, <i>Hypoatherina valenciennei</i>, <i>Larimichthys polyactis</i>, <i>Salanx ariakensis</i>, and <i>Chelidonichthys spinosus</i>). Then, we projected their habitat suitability under present and future climate conditions.</span></p> <p><span><b>Results: </b>The ensemble SDMs had good predictive performance and were successful in estimating the known distributions of the five species. Model projections highlighted two contrasting patterns of response to future climates: while <i>C. mystus</i> will likely expand its range, the ranges of the other four species will likely contract and shift northward.</span></p> <p><span><b>Main conclusions: </b><a name="_Hlk15635552">According to our SDM projections, the five ichthyoplankton species that we tested in the Yangtze Estuary are likely to respond differently to future climate changes. These projected different responses seemingly reflect the differential functional attributes and life history strategies of these species. </a>To the extent that climate change emerges as a critical driver of the future distribution of these species, our findings provide an important roadmap for designing future conservation strategies for ichthyoplankton in this region.</span></p>
Climate change drives spatial mismatch and threatens the biotic interactions of the Brazil nut tree
<p>Aim: Climate change and deforestation will redistribute the biodiversity in the next century. Species-specific differences in the response to such stressors will lead to distribution decoupling of interacting species, yet consequences for ecosystem services are poorly known. Here, we assess the potential effects of future niche mismatch on a key ecosystem service mediated by seed dispersal and pollination interactions in the Amazon: the sustainable exploitation of Brazil nuts.</p> <p>Location: The Amazon. Major taxa studied: Woody plant, medium-sized mammals, and insects.</p> <p>Time period: Present day, end of the 21st Century.</p> <p>Methods: Combining ecological niche models to simulations of tree cover loss and dispersal constraints, we compare the forecasted distribution of the plant to that of its interacting fauna of pollinators and seed dispersers.</p> <p>Results: Our projections indicate that climate change itself could have no or slightly negative effects on the distribution of the Brazil nut tree, expected to increase by 6% by year 2090. However, range contractions of nearly half of all the suitable climate for pollinators may lead up to 80% reduction on co-occurrence potential. In addition, local pollinator richness is expected to reduce by 20%, with likely consequences for pollination redundancy and resilience to subsequent environment changes. Although reductions on the suitable area of some seed dispersers were also forecasted in the future, potential co-occurrence with the plant and local species richness were mostly unabated in most of our projections.</p> <p>Main conclusion: The forecasted declines in pollinator diversity may hamper ecosystem function redundancy and threaten the long-term resilience of the services provided by Brazil nut trees. Such pervasive and indirect effects of climate change, often neglected and unaccounted for in most conservation assessments, may cascade into economies and human well-being worldwide.</p>
Can we predict global patterns of long-term climate change from short-term simulations?
<p>Post-processed data from "Can we predict global patterns of long-term climate change from short-term simulations?". Also includes python dictionary for translating file code into the name of the run. For use with code publicly available on github.com/lm2612/Ridge_3 and github.com/lm2612/GPRegression.</p>
Long-term monitoring reveals forest tree community change driven by atmospheric sulfate pollution and contemporary climate change
Aim: Montane environments are sentinels of global change, providing unique opportunities to assess impacts on species diversity. Multiple anthropogenic stressors such as climate change and atmospheric pollution may act concurrently or synergistically in restructuring communities. Thus, a major challenge for conservation is untangling the relative importance of different stressors. Here, we combine long-term monitoring with multivariate community modeling to estimate the anthropogenic drivers shaping forest tree diversity along an elevational gradient. Location: Camels Hump Mountain, Vermont, USA Methods: We used Generalized Dissimilarity Modelling (GDM) to model spatial and temporal turnover in beta diversity along an elevational gradient over a 50-year period, and tested for spatiotemporal shifts in density and elevational distribution of individual species. GDMs were used to predict community turnover as non-linear functions of changes in elevation, climate and atmospheric pollution. Results: We observed significant shifts in elevational range and density of individual species, which contributed to an overall reduction in the elevational gradient in beta diversity through time. GDMs showed the combined effects of sulfate deposition and temperature as drivers of this temporal reduction in beta diversity. Spatiotemporal changes differed among species, with shifts observed both up and downslope. For example, in a reversal of a previous upslope range contraction, red spruce (Picea rubens Sarg.) increased in density and shifted downslope since the 1990's, occupying warmer, drier climates. Main conclusion: Our results demonstrate that global change is impacting the stratification of forest tree diversity along elevational gradients, but the responses of individual species are complex and variable in direction. We suggest abiotic drivers may directly impact individual species while also indirectly altering species interactions along elevational gradients. Our approach modelling the drivers of compositional turnover quantifies the rate and amount of change in beta diversity along environmental gradients, and serves as a powerful complement to studying species-specific responses.
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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.