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150 results for “climate extreme”
Code from: The relative influence of climate extremes and species richness on the temporal variability of bird communities
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CESM 1.2 climate model simulation output for: The Essential Role of Westerly Wind Bursts in ENSO Dynamics and Extreme Events Quantified in Model 'Wind Stress Shaving' Experiments
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Data from: Life stage hypothesis modeling determines insect vulnerability during developmental life stages to climate extremes
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Climate change causes declines and greater extremes in wetland inundation in a region important for wetland birds
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Data from: Dispersal and connectivity in increasingly extreme climatic conditions
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CESM1.2 simulation output for: The role of westerly wind bursts during different seasons versus ocean heat recharge in the development of extreme El Niño in a climate model
<p>This is the subset of CESM1.2 model simulation output that was used for analysis and visualization of Yu and Fedorov [2020] (DOI:10.1029/2020GL088381). Please refer to README for details.</p>
Data from: Strong survival selection on seasonal migration versus residence induced by extreme climatic events
<p>1. Elucidating the full eco-evolutionary consequences of climate change requires quantifying the impact of extreme climatic events (ECEs) on selective landscapes of key phenotypic traits that mediate responses to changing environments. Episodes of strong ECE-induced selection could directly alter population composition, and potentially drive micro-evolution. However, to date, few studies have quantified ECE-induced selection on key traits, meaning that immediate and longer-term eco-evolutionary implications cannot yet be considered.</p> <p>2. One widely-expressed trait that allows individuals to respond to changing seasonal environments, and directly shapes spatio-seasonal population dynamics, is seasonal migration versus residence. Many populations show considerable among-individual phenotypic variation, resulting in 'partial migration'. However, variation in the magnitude of direct survival selection on migration versus residence has not been rigorously quantified, and empirical evidence of whether seasonal ECEs induce, intensify, weaken or reverse such selection is lacking.</p> <p>3. We designed full-annual-cycle multi-state capture-recapture models that allow estimation of seasonal survival probabilities of migrants and residents from spatio-temporally heterogeneous individual resightings. We fitted these models to nine years of geographically extensive year-round resighting data from partially migratory European shags (<i>Phalacrocorax aristotelis</i>). We thereby quantified seasonal and annual survival selection on migration versus residence across benign and historically extreme non-breeding season (winter) conditions, and tested whether selection differed between females and males.</p> <p>4. We show that two of four observed ECEs, defined as severe winter storms causing overall low survival, were associated with very strong seasonal survival selection against residence. These episodes dwarfed the weak selection or neutrality evident otherwise, and hence caused selection through overall annual survival. The ECE that caused highest overall mortality and strongest selection also caused sex-biased mortality, but there was little overall evidence of sex-biased selection on migration versus residence.</p> <p>5. Our results imply that seasonal ECEs and associated mortality can substantially shape the landscape of survival selection on migration versus residence. Such ECE-induced phenotypic selection will directly alter migrant and resident frequencies, and thereby alter immediate spatio-seasonal population dynamics. Given underlying additive genetic variation, such ECEs could potentially cause micro-evolutionary changes in seasonal migration, and thereby cause complex eco-evolutionary population responses to changing seasonal environments.</p>
Archive data for: Loss of predation risk from apex predators can exacerbate marine tropicalization caused by extreme climatic events
<p>1. Extreme climatic events (ECEs) and predator removal represent some of the most widespread stressors to ecosystems. Though species interactions can alter ecological effects of climate change (and vice versa), it is less understood whether, when, and how predator removal can interact with ECEs to exacerbate their effects. Understanding the circumstances under which such interactions might occur is critical because predator loss is widespread and ECEs can generate rapid phase shifts in ecosystems which can ultimately lead to tropicalization.</p> <p>2. Our goal was to determine whether loss of predation risk may be an important mechanism governing ecosystem responses to extreme events, and whether the effects of such events, such as tropicalization, can occur even when species range shifts do not. Specifically, our goal was to experimentally simulate loss of an apex predator, the tiger shark (<i>Galeocerdo cuvier</i>) effects on a recently damaged seagrass ecosystem of Shark Bay, Australia by applying documented changes to risk sensitive grazing of dugong (<i>Dugong dugon</i>) herbivores. </p> <p>3. Using a 16-month field experiment established in recently disturbed seagrass meadows, we used previous estimates of risk-sensitive dugong foraging behavior to simulate altered risk-sensitive foraging densities and strategies of dugongs consistent with apex predator loss, and tracked seagrass responses to the simulated grazing.</p> <p>4. Grazing treatments targeted and removed tropical seagrasses, which declined. However, like in other mixed-bed habitats where dugongs forage, treatments also incidentally accelerated temperate seagrass losses, revealing that herbivore behavioral changes in response to predator loss can exacerbate ECE effects and promote tropicalization, even without range expansions or introductions of novel species. </p> <p>5. Our results suggest that changes to herbivore behaviors triggered by loss of predation risk can undermine ecological resilience to ECEs, particularly where long lived herbivores are abundant. By implication, ongoing losses of apex predators may combine with increasingly frequent ECEs to amplify climate change impacts across diverse ecosystems and large spatial scales.</p>
Data from: The scaling of population persistence with carrying capacity does not asymptote in populations of a fish experiencing extreme climate variability
Despite growing concerns regarding increasing frequency of extreme climate events and declining population sizes, the influence of environmental stochasticity on the relationship between population carrying capacity and time-to-extinction has received little empirical attention. While time-to-extinction increases exponentially with carrying capacity in constant environments, theoretical models suggest increasing environmental stochasticity causes asymptotic scaling, thus making minimum viable carrying capacity vastly uncertain in variable environments. Using empirical estimates of environmental stochasticity in fish metapopulations, we showed that increasing environmental stochasticity resulting from extreme droughts was insufficient to create asymptotic scaling of time-to-extinction with carrying capacity in local populations as predicted by theory. Local time-to-extinction increased with carrying capacity due to declining sensitivity to demographic stochasticity, and the slope of this relationship declined significantly as environmental stochasticity increased. However, recent 1 in 25 yr extreme droughts were insufficient to extirpate populations with large carrying capacity. Consequently, large populations may be more resilient to environmental stochasticity than previously thought. The lack of carrying capacity-related asymptotes in persistence under extreme climate variability reveals how small populations affected by habitat loss or overharvesting, may be disproportionately threatened by increases in extreme climate events with global warming.
Data from: Birth dates vary with fixed and dynamic maternal features, offspring sex, and extreme climatic events in a high-latitude marine mammal
Reproductive synchrony tends to be widespread in diverse species of plants and animals, especially at higher latitudes. However, for long-lived mammals, birth dates for different individuals can vary by weeks within a population. A mother's birth timing can reveal useful information about her reproductive abilities and have important implications for the characteristics and survival of her offspring. Despite this, our current knowledge of factors associated with variation in birth dates is modest. We used long-term data for known-age Weddell seals in Antarctica and a Bayesian hierarchical modeling approach to study how birth dates varied with fixed and temporally varying features of mothers, whether sex allocation varied with birth timing, and annual variation in birth dates. Based on birth dates for 4465 pups born to 1117 mothers aged 4–31, we found that diverse features of mothers were associated with variation in birth dates. Maternal identity was the most important among these. Unlike most studies, which have reported that birth dates occur earlier as mothers age, we found that birth dates progressively occurred earlier in the year in the early part of a mother's reproductive life, reached a minimum at age 16, and then occurred later at later ages. Birth dates were positively related to a mother's age at primiparity and recent reproductive effort. The earliest birth dates were for pups born to prime-age mothers who did not reproduce in the previous year but began reproduction early in life, suggesting that females in the best condition gave birth earlier than others. If so, our finding that male pups tended to be born earlier than females provides support for the Trivers–Willard sex-allocation model. Average birth dates were quite consistent across years, except for 2 years that had notable delays and occurred during the period when massive icebergs were present and disrupted the ecosystem.
Deer movement and resource selection during Hurricane Irma: implications for extreme climatic events and wildlife
<p>Extreme climatic events (ECEs) are increasing in frequency and intensity and this necessitates understanding their influence on organisms. Animal behavior may mitigate the effects of ECEs, but field studies are rare because ECEs are infrequent and unpredictable. Hurricane Irma made landfall in southwestern Florida where we were monitoring white-tailed deer (<i>Odocoileus virginianus seminolus</i>) with GPS collars. We report on an opportunistic case study of behavioral responses exhibited by a large mammal during an ECE, mitigation strategies for reducing the severity of the ECE effects, and the demographic effect of the ECE based on known-fate of individual animals. Deer altered resource selection by selecting higher elevation pine and hardwood forests and avoiding marshes. Most deer left their home ranges during Hurricane Irma, and the probability of leaving was inversely related to home range area. Movement rates increased the day of the storm, and no mortality was attributed to Hurricane Irma. We suggest deer mobility and refuge habitat allowed deer to behaviorally mitigate the negative effects of the storm, and ultimately, aid in survival. Our work contributes to the small but growing body of literature linking behavioral responses exhibited during ECEs to survival, which cumulatively will provide insight for predictions of a species resilience to ECEs and improve our understanding of how behavioral traits offset the negative impacts of global climate change.</p>
Tracks for "Attribution of 2020 hurricane season extreme rainfall to human-induced climate change"
<p>TempestExtremes track files for CAM5 analysis presented in "Attribution of 2020 hurricane season extreme rainfall to human-induced climate change"</p>
Pastures and climate extremes: Impacts of cool season warming and drought on the productivity of key pasture species in a field experiment
<p>Shifts in the timing, intensity and/or frequency of climate extremes, such as severe drought and heatwaves, can generate sustained shifts in ecosystem function with important ecological and economic impacts for rangelands and managed pastures. The Pastures and Climate Extremes experiment (PACE) in Southeast Australia was designed to investigate the impacts of a severe winter/spring drought (60% rainfall reduction) and, for a subset of species, a factorial combination of drought and elevated temperature (ambient +3 °C) on pasture productivity. The experiment included nine common pasture and Australian rangeland species from three plant functional groups (C<sub>3</sub> grasses, C<sub>4</sub> grasses and legumes) planted in monoculture. Winter/spring drought resulted in productivity declines of 45% on average and up to 74% for the most affected species (<i>Digitaria eriantha</i>) during the 6-month treatment period, with eight of the nine species exhibiting significant yield reductions. Despite considerable variation in species' sensitivity to drought, C<sub>4</sub> grasses were more strongly affected by this treatment than C<sub>3</sub> grasses or legumes. Warming also had negative effects on cool-season productivity, associated at least partially with exceedance of optimum growth temperatures in spring and indirect effects on soil water content. The combination of winter/spring drought and year-round warming resulted in the greatest yield reductions. We identified responses that were either additive such that there was only as significant warming effect under drought (<i>Festuca</i>), or less-than-additive, where there was no drought effect under warming (<i>Medicago</i>), compared to ambient plots. Results from this study highlight the sensitivity of diverse pasture species to increases in winter and spring drought severity similar to those predicted for this region, and that anticipated benefits of cool-season warming are unlikely to be realised. Overall, the substantial negative impacts on productivity suggest that future, warmer, drier climates will result in shortfalls in cool-season forage availability, with profound implications for the livestock industry and natural grazer communities.</p>
The importance of considering the duration of extreme temperatures when investigating responses to climate change
<p><span>The frequency and duration of heatwaves are increasing because of human activities. To cope with the changes, species with longer generation times may have to rely on plastic responses. The probability that their responses are adaptive is higher if the species have experienced temperature fluctuations also in their evolutionary past. However, experimental studies investigating responses to heatwaves often use exposure times that are significantly shorter than recent heatwaves. We show that this can lead to faulty conclusions and that the duration of higher temperature has to be considered in experimental designs. We recorded the response of threespine stickleback to prolonged duration of higher temperature during the breeding season, using a population that has experienced large fluctuations in temperature in its past and, hence, is expected to endure temperature changes well. We found males to adaptively adjust their reproductive behaviours to short periods of higher temperature, but not to longer periods that extended across two breeding cycles. Males initially increased their reproductive activities - nest building, courtship and parental care - which ensured high reproductive success during the first breeding cycle, but decreased their reproductive activities during the second breeding cycle when exposed to sustained high temperature. This reduced their courtship success and resulted in fewer offspring. Thus, a species expected to cope well with higher temperature suffers fitness reductions when the duration of high temperature is prolonged. The results stress the importance of considering the duration of extreme environmental conditions when investigating the impact that human activities have on species. Responses to short-term exposures cannot be extrapolated to assess responses to longer periods of extreme conditions.</span></p>
Recurrent patterns behind extreme heatwaves in a warming climate
<p>Data generated and used in the 'Recurrent patterns behind extreme heatwaves in a warming climate' by Prashant Neel. </p> <p>Spreadsheets are labelled by region (PNW or Siberia) and Scenario SSP1-2.6 or SSP2-4.5 from the EC-Earth model output. Heatwave days for this study are 28<sup>th</sup> June 2021 in PNW, 20<sup>th</sup> June 2020 in Siberia and 25th July 1988 in Siberia.</p> <p>1. MaxTemp_ spreadsheets show daily maximum temperature calculated by averaging the maximum 2m surface temperatures over a region from 50°N to 90°N and 60°E to 180°E in Siberia, the area containing the town of Verkhoyansk and bordered by high relief, and from 65°N to 70°N and 130°W to 137°W in the Pacific Northwest (PNW). </p> <p>2. _corr_ spreadsheets show the generated pattern correlation for daily mean 500 hPa geopotential height (z500) data for June and July days against the z500 data for the two heatwaves. For Siberia, this was performed over the region of 50°N to 90°N and 60°E to 180°E and for the PNW this was 30°N to 70°N and 70°W to 145°W. The latitude-corrected Pearson correlation coefficient was found for each day compared to the heatwave day (28<sup>th</sup> June 2021 in PNW and 20<sup>th</sup> June 2020 in Siberia). Those labelled 1988 were for the Siberian heatwave on 25th July 1988.</p> <p>3. The 'wavenumber_reanalysis' spreadsheet shows the predominant Rossby wavenumber for the reanalysis data for the week preceding each day. Daily mean June and July ERA5 reanalysis data was averaged over 35°N-70°N to create a single value per longitude. A rolling 7-day mean was then be found, truncating the first 6 days of June each year. Then, the fast fourier transform (FFT) was performed to generate amplitudes of each wavenumber for a given day, based on the average v250 of the week prior. The amplitudes were converted to standard deviations from the mean. </p> <p> </p> <p>4. Spreadsheets ending in '_all' summarise all this data for each region and scenario.</p> <p> </p> <p> </p>
Using retrospective life-tables to assess the effect of extreme climatic conditions on ungulate demography
<p>In Mediterranean areas, severe drought events are expected to intensify in forthcoming years as a consequence of climate change. These events may increase physiological and reproductive stress of wild populations producing demographic changes and distribution shifts.</p> <p>We used retrospective life tables to understand demographic changes on a wild population after severe drought events. We studied the impact of two extreme events (2003 and 2005) on the population dynamics of our model species, the red deer (<i>Cervus elaphus</i>). During both years, population density was high (40 and 36 ind/100 hectares, respectively). Thus, we reconstructed retrospectively the age-structure of the female part of the population for the period 2000-2010 by using data of known-age individuals culled during the period 2000 to 2019 (n = 4176). Also, based on previous studies results, we aimed to validate this methodology.</p> <p>Both extremely dry years, 2003 and 2005, produced marked and lasting cohort effects on population demography. Age pyramid the following years (2004 and 2006) revealed that the extreme drought caused the female fawn cohort to be similar or even smaller than the yearling cohort. Furthermore, these cohort effects were still perceptible 3 years after theses severe events. Results agree with previous findings that showed a negative effect of severe drought events on female pregnancy rates and conception dates.</p> <p>Although simple, this study provides an empirical quantification of the demographic effects of severe drought events for a wild population which might be useful to understand future demographic changes under the context of climate change.</p>
Data from: Unveiling the landscape predictors of resilient vegetation in coastal wetlands to inform conservation in the face of climate extremes
<div> <p>Unveiling spatial variation in vegetation resilience to climate extremes can inform effective conservation planning under climate change. Although many conservation efforts are implemented on landscape scales, they often remain blind to landscape variation in vegetation resilience. We explored the distribution of drought-resilient vegetation (i.e., vegetation that could withstand and quickly recover from drought) and its predictors across a heterogeneous coastal landscape under long-term wetland conversion, through a series of high-resolution satellite image interpretations, spatial analyses, and nonlinear modelling. We found that vegetation varied greatly in drought resilience across the coastal wetland landscape and that drought-resilient vegetation could be predicted with distances to coastline and tidal channel. Specifically, drought-resilient vegetation exhibited a nearly bimodal distribution and had a seaward optimum at ~2 km from coastline (corresponding to an inundation frequency of ~30%), a pattern particularly pronounced in areas further away from tidal channels. Furthermore, we found that areas with drought-resilient vegetation were more likely to be eliminated by wetland conversion. Even in protected areas where wetland conversion was slowed, drought-resilient vegetation was increasingly lost to wetland conversion at its landward optimum in combination with rapid plant invasions at its seaward optimum. Our study highlights that the distribution of drought-resilient vegetation can be predicted using landscape features but without incorporating this predictive understanding, conservation efforts may risk failing in the face of climate extremes.</p> <p> </p> <p>This ZIP file contains the following datasets and code for the above paper:</p> <p>1. data_cheng_et_al_GCB_2024.zip This file contain a total of three files.</p> <p>(1) analys_grid_50_m.shp This file is a shapefile for the 50-by-50 m grid cells analyzed in the focal study area and their IDs.</p> <p>(2) veg_change.shp This file contains the spatial distribution of vegetation before and after the 2011 drought. </p> <p> Variable list:</p> <p> change: Changes of vegetation after the 2011 drought.</p> <p> vegBefore: Distribution of vegetation before the drought.</p> <p> vegAfter: Distribution of vegetation after the drought.</p> <p>(3) tidalchannel.shp This file contains manually digitized tidal channels (and water surfaces).</p> <p>2. gridfeatures.xlsx This file contains data on the landscape features of each analysis grid.</p> <p>3. analyses.R This file contains the R code used for data analysis.</p> </div>
Hydrothermal conditions modulate the impact of climate extremes on vegetation growth in the Northern Hemisphere
<p><strong><span>Aim</span></strong></p> <p>Climate extremes are becoming more frequent under global warming, with substantial repercussions for vegetation growth. The degree to which climate extremes increase the risk of high-impact events on vegetation growth is of high concern.</p> <p><strong>Location</strong></p> <p>Northern Hemisphere (north of 30° N)<span>.</span></p> <p><strong>Time Period</strong></p> <p><span>F</span>rom 2001 to 2022<span>.</span></p> <p><strong>Major Taxa Studied</strong></p> <p><span>P</span><span>l</span><span>ants</span><span>.</span></p> <p><strong>Methods</strong></p> <p><span>W</span>e utilized solar-induced chlorophyll fluorescence (SIF) and the normalized difference vegetation index (NDVI) as proxies for vegetation growth and performed event coincidence and sensitivity analyses to attribute satellite-derived vegetation growth extremes to diverse climate extremes (extreme heat, cold, wet, and drought) in the Northern Hemisphere.</p> <p><strong>Results</strong></p> <p>Our results showed that extreme heat and cold were the main climatic extremes that induced positive and negative vegetation growth extremes north of 30° N, respectively, mainly in cold and humid ecosystems (boreal and temperate forests). Water-related extreme events accounted for less than one-third of vegetation extremes. The contribution of drought to positive vegetation growth extreme events (approximately 17%), mainly in cold and humid ecosystems, was even slightly higher than that of extreme wet (approximately 12%), which predominantly impacted relatively warm and arid ecosystems (croplands and temperate grasslands). We further identified potential climatic thresholds that could induce a reversal of vegetation growth responses to climate extremes and showed that the past <span>two</span> decades of warming and precipitation changes did not induce a shift in the main climatic drivers of vegetation extremes across northern ecosystems.</p> <p><strong>Main Conclusions</strong></p> <p>Our results emphasize the crucial role of background hydrothermal conditions in the attribution of vegetation growth extremes to diverse climate extremes across northern ecosystems and have substantial implications for predicting how Northern Hemisphere vegetation will respond to increasing climate extremes in the future.</p>
Jet stream controls on driven European climate extremes and agricultural agriculture
<p>The code is used to analyze data and produce the main figures for the manuscript (Xu et al., Jet stream controls on European climate and agriculture since 1300 CE. Nature, 2024, https://doi.org/10.1038/s41586-024-07985-x). We used three temperature-sensitive tree-ring maximum chronologies from Europe to reconstruct the North-Atlantic-Europe Jet Stream Latitude (EU JSL). The EU JSL can capture the variability of dipolar patterns in temperature and precipitation extremes between Southern Europe and Northern Europe in summer (July-August). We extended the EU JSL to 1300 CE based on a multiple linear regression transfer function, which can explain the total variance of about 38.5% over the instrumental period (1945-2005, from NCEP reanalysis dataset V1.0). We then explore the relationships between EU JSL and temperature and precipitation over a long-term scale. We also explored the relationships between EU JSL extremes, crop failure events, and some social events over the past seven centuries. We found that the climate and societal extremes have been influenced by a summertime climatic dipole between northwestern and southeastern Europe, driven by EU JSL. Using the reconstruction, we explore relationships between EU JSL and climate and societal extremes using independent historical documentary datasets. We highlight the imprint of the EU JSL climate dipole on not only historical climate extremes, but also on the dipole's biophysical (e.g., grape harvest, wildfire), economic (e.g., wine quality and grain price), and even demographic (e.g., mortality and epidemics) impacts.</p> <p>The code is for the data analysis and visualization. We used R 4.2 version in the Windows 11 platform. Before re-running the code, please read the following instructions:</p> <p>1. Download all the input data and the R folder (all of the code). Please put the input data into a folder named input. We uploaded the temp and precip reconstruction data for the European domain.<br>2. Create a similar structure for the folders.<br>3. Before running the code, please unzip the crop data in the folder "./input/crop/*.zip", two large crop NetCDF fromat dataset.<br>4. Before running the main code "test all.R", please set you-work-path and run "setwd ("YOURPATH")" command line. <br>5. Some results or data in the output folder can be produced when run the code, you can also directly input them from the input folder in the next step to save time.<br>6. For the visualization, some of the arrangements are finished in Adobe Illustrator or Adobe Photoshop.<br>7. This is the main code for the manuscript, we would be improved or modified during the peer review.<br>8. If you have any questions or warnings during the re-run, please get in touch with me (guobaoxu@nwu.edu.cn; xgb234@lzb.ac.cn).</p> <p>If you have any suggestions or comments, please also let me know.</p> <p>Best wishes,<br>Guobao</p>
Data for "Mitigation strategies can alleviate power system vulnerability to climate change and extreme weather: A case study on the Italian grid"
<p>Data employed for the paper "Mitigation strategies can alleviate power system vulnerability to climate change and extreme weather: A case study on the Italian grid"<br><br>Abstract<br>This study explores compounding impacts of climate change on power system's load and generation, emphasising the need to integrate adaptation and mitigation strategies into investment planning. We combine existing and novel empirical evidence to model impacts on: i) air-conditioning demand; ii) thermal power outages; iii) hydro-power generation shortages. Using a power dispatch and capacity expansion model, we analyse the Italian power system's response to these climate impacts in 2030, integrating mitigation targets and optimising for cost-efficiency at an hourly resolution. We outline different meteorological scenarios to explore the impacts of both average climatic changes and the intensification of extreme weather events. We find that addressing extreme weather in power system planning will require an extra 5-8 GW of photovoltaic (PV) capacity, on top of the 50 GW of the additional solar PV capacity required by the mitigation target alone. Despite the higher initial investments, we find that the adoption of renewable technologies, especially PV, alleviates the power system's vulnerability to climate change and extreme weather events. In fact, renewable energy sources are generally less vulnerable to the impacts of climate change, such as rising temperatures and shifting precipitation patterns, compared to thermal power and hydropower generation. Furthermore, enhancing short-term storage with lithium-ion batteries is crucial to counterbalance the reduced availability of dispatchable hydro generation.</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.