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2,837 results for “Climate Data”
Data from: Predicting evolution in response to climate change: the example of sprouting probability in three dormancy-prone orchid species
Although many ecological properties of species respond to climate change, their evolutionary responses are poorly understood. Here, we use data from long-term demographic studies to predict evolutionary responses of three herbaceous perennial orchid species, Cypripedium parviflorum, C. candidum and Ophrys sphegodes, to predicted climate changes in the habitats they occupy. We focus on the evolution of sprouting probability, because all three species exhibit long-term vegetative dormancy, i.e. individual plants may not emerge above-ground, potentially for several consecutive years. The drivers of all major vital rates for populations of the species were analysed with general linear mixed models (GLMMs). High-dimensionality function-based matrix projection models were then developed to serve as core elements of deterministic and stochastic adaptive dynamics models used to analyse the adaptive context of sprouting in all populations. We then used regional climate forecasts, derived from high-resolution general atmospheric circulation models, of increased mean annual temperatures and spring precipitation at the occupied sites, to predict evolutionary trends in sprouting. The models predicted that C. parviflorum and O. sphegodes will evolve higher and lower probabilities of sprouting, respectively, by the end of the twenty-first century, whereas, after considerable variation, the probability of sprouting in C. candidum will return to its current level. These trends appear to be driven by relationships between mortality and size: in C. parviflorum and C. candidum, mortality is negatively related to size in the current year but positively related to growth since the previous year, whereas in O. sphegodes, mortality is positively related to size.
Data from: Signatures of polygenic adaptation associated with climate across the range of a threatened fish species with high genetic connectivity
Adaptive differences across species' ranges can have important implications for population persistence and conservation management decisions. Despite advances in genomic technologies, detecting adaptive variation in natural populations remains challenging. Key challenges in gene-environment association studies involve distinguishing the effects of drift from those of selection, and identifying subtle signatures of polygenic adaptation. We used paired-end restriction-site associated-DNA sequencing data (6605 biallelic single nucleotide polymorphisms; SNPs) to examine population structure and test for signatures of adaptation across the geographic range of an iconic Australian endemic freshwater fish species, the Murray cod Maccullochella peelii. Two univariate gene-association methods identified 61 genomic regions associated with climate variation. We also tested for subtle signatures of polygenic adaptation using a multivariate method (redundancy analysis; RDA). The RDA analysis suggested that climate (temperature- and precipitation-related variables) and geography had similar magnitudes of effect in shaping the distribution of SNP genotypes across the sampled range of Murray cod. Although there was poor agreement among the candidate SNPs identified by the univariate methods, the top 5% of SNPs contributing to significant RDA axes included 67% of the SNPs identified by univariate methods. We discuss the potential implications of our findings for the management of Murray cod and other species generally, particularly in relation to informing conservation actions such as translocations to improve evolutionary resilience of natural populations. Our results highlight the value of using a combination of different approaches, including polygenic methods, when testing for signatures of adaptation in landscape genomics studies.
Data from: Phenotypic biomarkers of climatic impacts on declining insect populations: a key role for decadal drought, thermal buffering and amplification effects and host plant dynamics
1. Widespread population declines have been reported for diverse Mediterranean butterflies over the last three decades, and have been significantly associated to increased global change impacts. The specific landscape and climatic drivers of these declines remain uncertain for most declining species. 2. Here we analyse whether plastic phenotypic traits of a model butterfly species (Pieris napi) perform as reliable biomarkers of vulnerability to extreme temperature impacts in natural populations, showing contrasting trends in thermally exposed and thermally buffered populations. 3. We also examine whether improved descriptions of thermal exposure of insect populations can be achieved by combining multiple information sources (i.e. integrating measurements of habitat thermal buffering, habitat thermal amplification, host plant transpiration, and experimental assessments of thermal death time (TDT), thermal avoidance behaviour (TAB) and thermally induced trait plasticity). These integrative analyses are conducted in two demographically declining and two non-declining populations of P. napi. 4. The results show that plastic phenotypic traits (butterfly body mass and wing size) are reliable biomarkers of population vulnerability to extreme thermal conditions. Butterfly wing size is strongly reduced only in thermally exposed populations during summer drought periods. Lab rearing of these populations documented reduced wing size due to significant negative effects of increased temperatures affecting larval growth. We conclude that these thermal biomarkers are indicative of the population vulnerability to increasing global warming impacts, showing contrasting trends in thermally exposed and buffered populations. 5. Thermal effects in host plant microsites significantly differ between populations, with stressful thermal conditions only effectively ameliorated in mid-elevation populations. In lowland populations we observe a six-fold reduction in vegetation thermal buffering effects, and larval growth occurs in these populations at significantly higher temperatures. Lowland populations show reduced host plant quality (C/N ratio), reduced leaf transpiration rates and complete aboveground plant senescence during the peak of summer drought. Amplified host plant temperatures are observed in open microsites, reaching thermal thresholds that can affect larval survival. 6. Overall, our results suggest that butterfly population vulnerability to long-term drought periods is associated to multiple co-occurring and interrelated ecological factors, including limited vegetation thermal buffering effects at lowland sites, significant drought impacts on host plant transpiration and amplified leaf surface temperature, as well as reduced leaf quality linked to the seasonal advance of plant phenology. Our results also identify multi-annual summer droughts affecting larval growing periods as a key driver of the recently reported butterfly population declines in the Mediterranean biome.
Data from: Climate change is projected to outpace rates of niche change in grasses
Climate change may soon threaten much of global biodiversity, especially if species cannot adapt to changing climatic conditions quickly enough. A critical question is how quickly climatic niches change, and if this speed is sufficient to prevent extinction as climates warm. Here, we address this question in the grass family (Poaceae). Grasses are fundamental to one of Earth's most widespread biomes (grasslands), and provide roughly half of all calories consumed by humans (including wheat, rice, corn and sorghum). We estimate rates of climatic niche change in 236 species and compare these with rates of projected climate change by 2070. Our results show that projected climate change is consistently faster than rates of niche change in grasses, typically by more than 5000-fold for temperature-related variables. Although these results do not show directly what will happen under global warming, they have troubling implications for a major biome and for human food resources.
Data from: Plasticity for desiccation tolerance across Drosophila species is affected by phylogeny and climate in complex ways
Comparative analyses of ectotherm susceptibility to climate change often focus on thermal extremes, yet responses to aridity may be equally important. Here we focus on plasticity in desiccation resistance, a key trait shaping distributions of Drosophila species and other small ectotherms. We examined the extent to which 32 Drosophila species, varying in their distribution, could increase their desiccation resistance via phenotypic plasticity involving hardening, linking these responses to environment, phylogeny and basal resistance. We found no evidence to support the seasonality hypothesis; species with higher hardening plasticity did not occupy environments with higher and more seasonal precipitation. As basal resistance increased, the capacity of species to respond via phenotypic plasticity decreased, suggesting plastic responses involving hardening may be constrained by basal resistance. Trade-offs between basal desiccation resistance and plasticity were not universal across the phylogeny and tended to occur within specific clades. Phylogeny, environment and trade-offs all helped to explain variation in plasticity for desiccation resistance but in complex ways. These findings suggest some species have the ability to counter dry periods through plastic responses, whereas others do not; and this ability will depend to some extent on a species' placement within a phylogeny, along with its basal level of resistance.
Data from: European ornamental garden flora as an invasion debt under climate change
1.Most naturalized and invasive alien plant species were originally introduced to regions for horticultural purposes. However, many regions now face an invasion debt from ornamental alien species, which have not yet naturalized. In this regard, climate change represents a threat as it may lower the barriers to naturalization for some ornamental alien species. Identifying those species is extremely important for anticipating impending invasions. 2.To identify predictors of naturalization, we modelled the effects of climate, nursery availability and species characteristics on the current European naturalization success of 2,073 ornamental aliens commonly planted in European gardens. We then used the resulting model together with climate projections for 2050 to forecast future naturalization risks for the 1,583 species not yet naturalized in Europe. 3.We found that non‐European naturalized range size, climatic suitability, propagule pressure, having a dioecious sexual system and plant height jointly explained current naturalization success in Europe. By 2050, naturalization probability projections increased by more than 0.1 for 41 species, and only decreased by more than 0.1 for one species. 4.Policy Implications. Using predictions based on our integrated model of alien ornamental naturalization success, we identified species with high future naturalization risk and species with high projected increases in naturalization potential in Europe under climate change. This species list allows for prioritization of monitoring and regulation of ornamental plants to mitigate the invasion debt.
Data from: Effects of climate on reproductive investment in a masting species: assessment of climatic predictors and underlying mechanisms
1. Mechanisms by which climatic factors drive reproductive investment and phenology in masting species are not completely understood. Climatic conditions may act as a proximate cue, stimulating the onset of reproduction and indirectly increasing fitness through benefits associated with synchronous reproduction among individuals. Alternatively, climatic conditions may directly influence individual level allocation to reproduction and reproductive success through effects occurring independently of synchronous reproduction. We previously showed that masting in a ponderosa pine (Pinus ponderosa) population was strongly influenced by spring mean temperature two years before seed cone maturation (Ti-2). However, recent work shows that the difference in temperature between previous growing seasons (ΔT) is more predictive of reproductive investment in long-lived tree species. 2. Here we compared four candidate models that predict seed cone production in P. ponderosa based upon different climatic factors (including Ti-2 and ΔT models). After determining the best climatic predictor, we tested for a potential mechanism by which climate might directly influence seed cone production independent of benefits via synchrony, namely effects of temperature on trade-offs between current and past reproduction (determined by underlying resource availability). 3. We found that Ti-2 (rather than ΔT) was the best predictor of seed cone production. We further show that this same climatic factor exerts a direct fitness benefit to individuals by reducing the strength of trade-offs between current and past reproductive efforts. 4. Synthesis: We demonstrate that a single climatic factor provides fitness benefits to individuals directly, by weakening reproductive trade-offs, and indirectly through the benefits associated with synchrony and masting. This suggests a mechanism for the origin and maintenance of masting: individuals initially respond to climatic cues that directly enhance reproduction (e.g. lower reproductive costs through weakened trade-offs) and this dynamic, expressed across multiple individuals, reinforces these benefits through the economies of scale associated with synchrony and masting.
Data from: Keeping pace with climate change: stage-structured moving-habitat models
Life cycles can limit the abilities of species to track changing climatic conditions. We combined age or stage structure and a moving-habitat model to explore the effects of life history on the persistence of populations in the presence of climate change. We studied four dissimilar plant species in moving patches and found that (1) population growth rates, (2) elasticities with respect to the survival (stasis and shrinkage) components of the projection matrix, and (3) the evenness of the elasticities with respect to the components of the projection matrix all decreased as we increased the translational speeds of the patches. In addition, the value of long-distance dispersal increased with patch speed for three of the four species. Our analyses confirm that rapid growth, high fecundity, and long-distance dispersal can benefit species in moving patches. Thus, species with long generation times and limited dispersal ability are especially vulnerable to habitat movement. Stage-structured moving-habitat models can easily incorporate spatial complexity and can help us predict the effects of shifting climatic conditions.
Data from: Lowland biotic attrition revisited: body size and variation among climate change 'winners' and 'losers'
The responses of lowland tropical communities to climate change will critically influence global biodiversity but remain poorly understood. If species in these systems are unable to tolerate warming, the communities—currently the most diverse on Earth—may become depauperate ('biotic attrition'). In response to temperature changes, animals can adjust their distribution in space or their activity in time, but these two components of the niche are seldom considered together. We assessed the spatio-temporal niches of rainforest mammal species in Borneo across gradients in elevation and temperature. Most species are not predicted to experience changes in spatio-temporal niche availability, even under pessimistic warming scenarios. Responses to temperature are not predictable by phylogeny but do appear to be trait-based, being much more variable in smaller-bodied taxa. General circulation models and weather station data suggest unprecedentedly high midday temperatures later in the century; predicted responses to this warming among small-bodied species range from 9% losses to 6% gains in spatio-temporal niche availability, while larger species have close to 0% predicted change. Body mass may therefore be a key ecological trait influencing the identity of climate change winners and losers. Mammal species composition will probably change in some areas as temperatures rise, but full-scale biotic attrition this century appears unlikely.
Data from: Effects of postglacial phylogeny and genetic diversity on the growth variability and climate sensitivity of European silver fir
<p>The zip file contains almost 2000 tree ring width data in Tucson format (rwl) from 78 sites across the Carpathian Mountains in Europe. In addition, genetic data used in the study are also attached. The datasets were used in the paper on <strong>Effects of postglacial phylogeny and genetic diversity on the growth variability and climate sensitivity of European silver fir </strong>published in Journal of Ecology.</p>
Supplementary Data and Scripts for 'Extreme heat and drought typical of an end-of-century climate could occur soon and repeatedly over Europe', Suarez-Gutierrez et al., 2023
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Data accompanying Jonko et al. "How will future climate change impact prescribed fire across the contiguous United States?"
<p>This CSV file contains prescription information for 83 location across the United States which was analyzed in the publication Jonko, A., J. Oliveto, T. Beaty, A. Atchley, M.A. Battaglia, M.B. Dickinson, M.R. Gallagher, A. Gilbert, D. Godwin, J.A. Kupfer, J.K. Hiers, C. Hoffman, M. North, J. Restaino, C. Sieg, and N. Skowronski: "How will future climate change impact prescribed fire across the contiguous Unites States?", submitted to npj Climate and Atmospheric Science. Please contact the corresponding author at ajonko@lanl.gov if you are interested in using this data in your own research.</p>
Supplemental Data for "Soil organic carbon change can reduce the climate benefits of biofuel produced from forest residues"
<p>The files contain the code and supplementary data for the article.</p>
Data and Code Files for Dalponti et al. Climate Affects the Correlated Evolution of Body Size and Trophic Position in Fishes
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Data from: Nest predation and climate change as drivers of alternative reproductive tactics in a migratory species
<p>Alternative reproductive tactics enable individuals to choose a reproductive tactic relative to their status and prevailing environmental conditions in a way that increases their fitness. Conspecific brood parasitism, in which females lay eggs in nests of conspecifics, is one example of such behaviour. It has been proposed that when prospects for successful nesting are low and/or costs of reproduction are high, females employ tactics of low cost such as non-breeding and parasitic laying. When environmental conditions are ideal and prospects for success high, females can increase their reproductive effort above typical nesting by laying parasitic eggs prior to initiating their own nest. </p>
Scripts and data for "Climate damage projections beyond annual temperature"
<p>The zip file in this record contains code and data to reproduce the figures and tables and to replicate the underlying analysis in the following publication:</p> <p><em>Waidelich, P., Batibeniz, F., Rising, J., Kikstra, J. S., Seneviratne, S. I. (2024). Climate damage projections beyond annual temperature. Nature Climate Change. DOI: 10.1038/s41558-024-01990-8.</em></p> <p>For more information on the repository's content, including the sources for data input files, see the README document.</p> <p>For questions and requests for intermediate files and/or additional material, please contact Paul Waidelich (corresponding author).<br><br>Version history:<br>- Version 2: incorporates editorial suggestions and the exporting of clean source data files in CSV format to the main figure scripts and adds the new Supplementary Fig. S5.</p>
Data from: Distribution models predict climate-related range alteration or extinction of eleven threatened tropical rainforest trees in the Western Ghats
<p>This dataset contains information related to species occurence data and species distribution modeling (SDM) analysisr of eleven threatened tree species. Occurrences are compiled from extensive field surveys in the Anamalai Hills along with data from the Global Biodiversity Information Facility (GBIF.org) and earlier work done within the southern Western Ghats, India.</p> <p>References:<br>Page, N. V., & Shanker, K. (2020). Climatic stability drives latitudinal trends in range size and richness of woody plants in the Western Ghats, India. PLOS ONE, 15(7), e0235733. https://doi.org/10.1371/journal.pone.0235733</p> <p>GBIF.org (2022) GBIF Occurrence Download, 2 August 2022. DOI:10.15468/dl.gnvuxj</p> <p><br>AUTHOR #1<br>1. Name: A.P. Madhavan<br>2. Work Address: Nature Conservation Foundation, 1311, 12th A Main, Vijayanagar 1st Stage, Mysuru 570017, Karnataka, India<br>3. Email address: madhavan@ncf-india.org<br>4. ORCID: https://orcid.org/0009-0009-2754-8256</p> <p>AUTHOR #2<br>1. Name: Kshama Bhat<br>2. Work Address: Nature Conservation Foundation, 1311, 12th A Main, Vijayanagar 1st Stage, Mysuru 570017, Karnataka, India<br>3. Email address: kshama@ncf-india.org<br>4. ORCID: ORCID: https://orcid.org/0000-0002-6190-2687</p> <p>AUTHOR #3<br>1. Name: Srinivasan Kasinathan<br>2. Work Address: Nature Conservation Foundation, 1311, 12th A Main, Vijayanagar 1st Stage, Mysuru 570017, Karnataka, India<br>3. Email address: srini@ncf-india.org<br>4. ORCID: https://orcid.org/0000-0001-7323-6653</p> <p>AUTHOR #4<br>1. Name: Divya Mudappa <br>2. Work Address: Nature Conservation Foundation, 1311, 12th A Main, Vijayanagar 1st Stage, Mysuru 570017, Karnataka, India<br>3. Email address: divya@ncf-india.org <br>4. ORCID: https://orcid.org/0000-0001-9708-4826</p> <p>AUTHOR #5<br>1. Name: Navendu Page<br>2. Work Address: Wildlife Institute of India, Post Box No. 18, Chandrabani, Dehradun, Uttarakhand 248001, India<br>3. Email address: navendu.page@gmail.com<br>4. ORCID: ORCID: https://orcid.org/0000-0002-9413-7571</p> <p>AUTHOR #6<br>1. Name: T. R. Shankar Raman <br>2. Work Address: Nature Conservation Foundation, 1311, 12th A Main, Vijayanagar 1st Stage, Mysuru 570017, Karnataka, India<br>3. Email address: trsr@ncf-india.org <br>4. ORCID: https://orcid.org/0000-0002-1347-3953</p> <p>Keywords: tropical rainforest, climate change, tree distributions, species distribution models, range shifts, Western Ghats</p> <p><br>Geographic Coverage:<br>1. Location/Study Area: Southern Western Ghats Montane Rain Forests, Southern Western Ghats Moist Deciduous Forests, India<br>2. GPS coordinates: SWG (73.95° – 80.33° E, 8.06° – 13.11°N) </p> <p>Temporal coverage<br>Starts: 2020-08-01<br>Ends: 2024-03-28</p> <p>Besides this README.txt file, the dataset includes three comma-delimited text files (csv); two R scripts, and 1 kml file of surveyed trails.</p> <p>CSV files with the data in columns as explained below:</p> <p>1) Focal_Tree_Dat.csv</p> <p>Comp: Number identifier<br>FT_ID: Unique tree no for each individual<br>Focal_tree: Scientific name of species<br>Date: Date of occurrence observation<br>Place: Area/locality description<br>Trail: Unique trail ID<br>Waypoint: Waypoint number <br>Time: Time in hh:mm format <br>Location: Specific description of occurrence locality <br>Latitude: Latitude in decimal degrees N <br>Longitude: Longitude in decimal degrees E <br>Elevation: Elevation in metres <br>Slope: Cateory of slope <br>ID_Notes: Notes on identification<br>Phenophase: Phenophase expression at the time of observation <br>GBH: Girth at breast height in centimetres (comma separated list of numbers in case of multi-stemmed trees) <br>Tree_ht: Tree height in metres<br>Canopy_ht: Maximimum height of the surrounding canopy in metres<br>Substrate: Soil substrate composition<br>Invasives: Name of invasive species (if present) <br>Stature: Vegetation strata position <br>Relatively: Stature of focal individual relative to other surrounding individuals <br>Deadwood: Description of deadwood on the tree <br>Damage: Description of damage on the bole <br>Shape: Description of tree canopy shape<br>Closure: Canopy closure at focal tree <br>Seedlings: Number of conspecific seedlings present in 5 m radius of focal tree <br>Saplings: Number of conspecific saplings present in 5 m radius of focal tree<br>Trees: Number of conspecific trees present in 5 m radius of focal tree<br>Remarks: Remarks </p> <p>2) Ffspecies.csv</p> <p>Source: Source of occurrence <br>ID: State/location of occurrence<br>Region: Biogeographic region of occurrence <br>decimalLatitude: Latitude in decimal degrees N<br>decimalLongitude: Longitude in decimal degrees E<br>species: Scientific name of species</p> <p>4) ft_surveys.csv</p> <p>Date: Date of survey of sample trail<br>Prot_type: Category indicating whether protected area or fragment <br>Place: Area/locality description<br>Route_description: Specific landmark description of trail<br>Trail: Unique trail ID <br>Trail_distance: Tracked distance of trail in km <br>Corrected_trail_distance: Corrected distance of trail in km<br>Track_filename_kml: File name of gps track<br>Sample_collected: Name of species if sample collected <br>Observers: Name of observers <br>Remarks: Remarks</p> <p>ANALYSES SCRIPTS<br>flexsdm_script.R<br>Script containing the analysis of all maxent distribution modeling and associated analysis</p> <p>Franklinia_density.Rmd<br>Script of density and abundance related analysis</p> <p> </p>
Source Data for "Explainable El Niño predictability from climate mode interactions"
<p>This repository include the figure source data for the paper "<a href="https://doi.org/10.1038/s41586-024-07534-6">Explainable El Niño predictability from climate mode interactions</a>" (Zhao et al. 2024).</p> <p>Zhao, S., Jin, F.-F., Stuecker, M. F., Thompson, P. R., Kug, J.-S., McPhaden, M. J., Cane, M.A., Wittenberg, A.T., Cai, W., (2024). Explainable El Niño predictability from climate mode interactions. <em>Nature</em>. <a href="https://doi.org/10.1038/s41586-024-07534-6">https://doi.org/10.1038/s41586-024-07534-6</a></p> <p><strong>Files</strong>:</p> <p>SourceDataFig1 for Figure 1</p> <p>SourceDataFig2 for Figure 2</p> <p>SourceDataFig3 for Figure 3</p> <p>SourceDataFig4 for Figure 4</p> <p>SourceDataFig5 for Figure 5</p> <p> </p>
Data: The interplay of biogeography, floral morphology, and climatic niche in Palicourea (Rubiaceae), a hyperdiverse plant radiation in the Neotropics
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synthetic climate data used for Controlled Abstention Network (CAN) development
<p>The synthetic climate data used in two papers to develop Controlled Abstention Netoworks. The data is approximately 720Mb, saved as a .mat file. The data is from Mamalakis et al. (2021) - with citation given below. </p> <p>Mamalakis, Antonios, Imme Ebert-Uphoff and Elizabeth A. Barnes: Neural Network Attribution Methods for Problems in Geoscience: A Novel Synthetic Benchmark Dataset, submitted to Environmental Data Science, 11/2021, preprint available https://arxiv.org/abs/2103.10005.</p> <p>The code that uses this data can be accessed here:</p> <p>Elizabeth Barnes, & Randal J. Barnes. (2021). eabarnes1010/controlled_abstention_networks: (v1.0.1). Zenodo. https://doi.org/10.5281/zenodo.5750222</p> <p>The publications associated with this data are posted on arxiv (but will soon be published in JAMES):</p> <ul> <li> <p><strong>Barnes, Elizabeth A. </strong>and Randal J. Barnes: Controlled abstention neural networks for identifying skillful predictions for regression problems, accepted to <em>JAMES</em> 11/2021. Preprint available at <a href="https://www.google.com/url?q=https%3A%2F%2Farxiv.org%2Fabs%2F2104.08236&sa=D&sntz=1&usg=AFQjCNENUTEbOS90QNROchwcMQDDpJsrjQ">https://arxiv.org/abs/2104.08236</a></p> </li> <li> <p><strong>Barnes, Elizabeth A. </strong>and Randal J. Barnes: Controlled abstention neural networks for identifying skillful predictions for classification problems, accepted to <em>JAMES</em> 11/2021. Preprint available at <a href="https://www.google.com/url?q=https%3A%2F%2Farxiv.org%2Fabs%2F2104.08281&sa=D&sntz=1&usg=AFQjCNHUMJPchhqprYXHRAzb2HA4USVvUw">https://arxiv.org/abs/2104.08281</a></p> </li> </ul>
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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.