Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
4,059
datasets available to search
ShareScore release 0.7.1
Dataset results
4,059 results for “mammal”
Data from: The coevolution of male and female genitalia in a mammal: a quantitative genetic insight
<p>Male genitalia are among the most phenotypically diverse morphological traits, and sexual selection is widely accepted as being responsible for their evolutionary divergence. Studies of house mice suggest that the shape of the baculum (penis bone) affects male reproductive fitness and experimentally imposed postmating sexual selection has been shown to drive divergence in baculum shape across generations. Much less is known of the morphology of female genitalia and its coevolution with male genitalia. In light of this, we used a paternal half-sibling design to explore patterns of additive genetic variation and covariation underlying baculum shape and female vaginal tract size in house mice (Mus musculus domesticus). We applied a landmark-based morphometrics approach to measure baculum size and shape in males and the length of the vaginal tract and width of the cervix in females. Our results reveal significant additive genetic variation in house mouse baculum morphology and cervix width, as well as evidence for genetic covariation between male and female genital measures. Our data thereby provide novel insight into the potential for the coevolutionary divergence of male and female genital traits in a mammal. </p>
Data from: Carnivorous mammals from the middle Eocene Washakie Formation, Wyoming, USA, and their diversity trajectory in a post-warming world
The middle Eocene Washakie Formation of Wyoming, USA, provides a rare window, within a single depositional basin, into the faunal transition that followed the early Eocene warming events. Based on extensive examination, we report a minimum of 27 species of carnivorous mammals from this formation, more than doubling the previous taxic count. Included in this revised list are a new species of carnivoraform, <i>Neovulpavus mccarrolli</i>, and up to ten other possibly new taxa. Our cladistic analysis of early Carnivoraformes incorporating new data clarified the array of middle Eocene taxa that are closely related to crown-group Carnivora. These anatomically relatively derived carnivoraforms collectively had an intercontinental distribution in North America and east Asia, exhibiting notable variations in body size and dental adaptation. This time period also saw parallel trends of increase in body-size and dental sectoriality in distantly-related lineages of carnivores spanning a wide range of body sizes. A new, model-based Bayesian analysis of diversity dynamics accounting for imperfect detection revealed a high probability of substantial loss of carnivore species between the late Bridgerian and early Uintan North American Land Mammal 'Ages', coinciding with the disappearance of formerly common mammals such as hyopsodontids and adapiform primates. Concomitant with this decline in carnivore diversity, the Washakie vertebrate fauna underwent significant disintegration as measured by patterns of coordinated detection of taxa at the locality level. These observations are consistent with a major biomic transition in the region in response to climatically-induced opening-up of forested habitats.
Artificial night light helps account for observer bias in citizen science monitoring of an expanding large mammal population
1. The integration of citizen scientists into ecological research is transforming how, where, and when data are collected, and expanding the potential scales of ecological studies. Citizen-science projects can provide numerous benefits for participants, while educating and connecting professionals with lay audiences, potentially increasing acceptance of conservation and management actions. However, for all the benefits, collection of citizen-science data is often biased towards areas that are easily accessible (e.g. developments and roadways), and thus data are usually affected by issues typical of opportunistic surveys (e.g. uneven sampling effort). These areas are usually illuminated by artificial light at night (ALAN), a dynamic sensory stimulus that alters the perceptual world for both humans and wildlife. 2. Our goal was to test whether satellite-based measures of ALAN could improve our understanding of the detection process of citizen scientist-reported sightings of a large mammal. 3. We collected observations of American black bears (Ursus americanus; n = 1,315) outside their primary range in Minnesota, USA, as part of a study to gauge population expansion. Participants from the public provided sighting locations of bears on a website. We used an occupancy modelling framework to determine how well ALAN accounted for observer metrics when compared to other commonly used metrics (e.g. housing density). 4. Citizen scientists reported 17% of bear sightings were under artificially-lit conditions and monthly ALAN estimates did the best job accounting for spatial bias in detection of all observations, based on AIC values and effect sizes (β ^ = 0.81, 0.71 – 0.90 95% CI). Bear detection increased with elevated illuminance; relative abundance was positively associated with natural cover, closer proximity to primary bear range and lower road density. Although the highest counts of bear sightings occurred in the highly illuminated suburbs of the Minneapolis-St. Paul metropolitan region, we estimated substantially higher bear abundance in another region with plentiful natural cover and low ALAN (up to 275% increased predicted relative abundance) where observations were sparse. 5. We demonstrate the importance of considering ALAN radiance when analyzing citizen scientist-collected data, and we highlight the ways that ALAN data provides a dynamic snapshot of human activity. 31-Jul-2020
Assessing confidence in root placement on phylogenies: an empirical study using non-reversible models for Mammals
<p>Using time-reversible Markov models is a very common practice in phylogenetic analysis, because although we expect many of their assumptions to be violated by empirical data, they provide high computational efficiency. However, these models lack the ability to infer the root placement of the estimated phylogeny. In order to compensate for the inability of these models to root the tree, many researchers use external information such as using outgroup taxa or additional assumptions such as molecular-clocks. In this study, we investigate the utility of non-reversible models to root empirical phylogenies and introduce a new bootstrap measure, the <i>rootstrap</i>, which provides information on the statistical support for any given root position.</p> <p>Availability and implementation: rootstrap support is implemented in IQ-TREE 2 and a tutorial is available at the iqtree webpage <a href="http://www.iqtree.org/doc/Rootstrap">http://www.iqtree.org/doc/Rootstrap</a>. In addition, a python script is available at <a href="https://github.com/suhanaser/Rootstrap">https://github.com/suhanaser/Rootstrap</a></p>
Terrestrial mammals from America with dengue incidence
<p>This dataset contains dengue virus incidence in mammals from published papers.</p> <p>It has 17 fields:</p> <ol> <li>Reference</li> <li>Sampling year</li> <li>Country</li> <li>Diagnostic test</li> <li>Diagnostic test type</li> <li>Subclade</li> <li>Virus</li> <li>Order</li> <li>Family</li> <li>Mammal species</li> <li>Individual tested</li> <li>Incidence</li> <li>Prevalence</li> <li>Susceptibility</li> <li>Location</li> <li>latitude</li> <li>longitude</li> </ol>
Data from: Disproportionate extinction of South American mammals drove the asymmetry of the Great American Biotic Interchange
<p>Annotated R codes and datasets used in: Carrillo et al. 2020. Disproportionate extinction of South American mammals drove the asymmetry of the Great American Biotic Interchange. <em>Proc. Natl. Acad. Sci. U.S.A.</em></p>
Mammal population densities at a global scale are higher in human-modified areas
Global landscapes are changing due to human activities with consequences for both biodiversity and ecosystems. For single species, terrestrial mammal population densities have shown mixed responses to human pressure, with both increasing and decreasing densities reported in the literature. How the impacts of human activities on mammal populations translates into altered global density patterns remains unclear. Here we aim to disentangle the effect of human impacts on large-scale patterns of mammal population densities using a global dataset of 6729 population density estimates for 468 mammal species (representing 59% and 44% of mammalian orders and families). We fitted a mixed effect model to explain the variation in density based on a 1-degree resolution as a function of the Human Footprint Index (HFI), a global proxy of direct and indirect human disturbances, while accounting for body mass, trophic level and primary productivity (Normalized Vegetation Index; NDVI). We found a significant positive relationship between population density and HFI, where population densities were higher in areas with a higher HFI (e.g., agricultural or suburban areas – no populations were located in very high HFI urban areas) compared to areas with a low HFI (e.g., wilderness areas). We also tested the effect of the individual components of the HFI and still found a consistent positive effect. The relationships remained positive even across populations of the same species, although variability among species was high. Our results indicate shifts in mammal population densities in human modified landscapes, which is due to the combined effect of species filtering, increased resources, and a possible reduction in competition and predation. Our study provides further evidence that macroecological patterns are being altered by human activities, where some species will benefit from these activities, while others will be negatively impacted or even extirpated.
Data from: Changes in age-structure over four decades were a key determinant of population growth rate in a long-lived mammal
<p>1. A changing environment directly influences birth and mortality rates, and thus population growth rates. However, population growth rates in the short-term are also influenced by population age-structure. Despite its importance, the contribution of age-structure to population growth rates has rarely been explored empirically in wildlife populations with long-term demographic data.</p> <p>2. Here, we assessed how changes in age-structure influenced short-term population dynamics in a semi-captive population of Asian elephants (Elephas maximus).</p> <p>3. We addressed this question using a demographic dataset of female Asian elephants from timber camps in Myanmar spanning 45 years (1970-2014). First, we explored temporal variation in age-structure. Then, using annual matrix population models, we used a retrospective approach to assess the contributions of age-structure and vital rates to short-term population growth rates with respect to the average environment.</p> <p>4. Age-structure was highly variable over the study period, with large proportions of juveniles in the years 1970 and 1985, and made a substantial contribution to annual population growth rate deviations. High adult birth rates between 1970-1980 would have resulted in large positive population growth rates, but these were prevented by a low proportion of reproductive-aged females.</p> <p>5. We highlight that an understanding of both age-specific vital rates and age-structure is needed to assess short-term population dynamics. Furthermore, this example from a human-managed system suggests that the importance of age-structure may be accentuated in populations experiencing human disturbance where age-structure is unstable, such as those in captivity or for endangered species. Ultimately, changes to the environment drive population dynamics by influencing birth and mortality rates, but understanding demographic structure is crucial for assessing population growth.</p>
Data from: The effects of body mass on immune cell concentrations of mammals
Theory predicts that body mass should affect the way organisms evolve and use immune defenses. We investigated the relationship between body mass and blood neutrophil and lymphocyte concentrations among 250+ terrestrial mammalian species. We tested whether existing theories (e.g., Protecton Theory, immune system complexity, and rate of metabolism) accurately predicted the scaling of immune cell concentrations. We also evaluated the predictive power of body mass for these leukocyte concentrations compared to sociality, diet, life history, and phylogenetic relatedness. Phylogeny explained >65% of variation in both lymphocytes and neutrophils, and body mass appeared more informative than other interspecific trait variation. In the best-fit mass-only model, neutrophils scaled hypermetrically (b = 0.11) with body mass whereas lymphocytes scaled isometrically. Extrapolating to total cell numbers, this exponent means that an African elephant circulates 13.3 million times the neutrophils of a house mouse, whereas their masses differ by only 250k-fold. We hypothesize that such high neutrophil numbers might offset the i) higher overall parasite exposure that large animals face and/or ii) the higher relative replication capacities of pathogens to host cells.
Fitness costs of parasites explain multiple life history tradeoffs in a wild mammal
Reproduction in wild animals can divert limited resources away from immune defence, resulting in increased parasite burdens. A longstanding prediction of life history theory states that these parasites can harm the individual, reducing the organism's subsequent fitness and producing reproduction-fitness tradeoffs. Here, we examined associations among reproductive allocation, immunity, parasitism, and subsequent fitness in a wild population of individually identified red deer ( Cervus elaphus ). Using path analysis, we investigated whether costs of lactation for downstream survival and fecundity were mediated by changes in strongyle nematode count and mucosal antibody levels. Lactating females exhibited increased parasite counts, which were in turn associated with substantially decreased fitness in the following year in terms of overwinter survival, fecundity, subsequent calf weight, and parturition date. This study offers observational evidence for parasite regulation of multiple life history tradeoffs, supporting the role of parasites as an important mediating factor in wild mammal populations.
Geography, seasonality, and host-associated population structure influence the fecal microbiome of a genetically depauparate Arctic mammal
<p>The Canadian Arctic is an extreme environment with low floral and faunal diversity characterized by major seasonal shifts in temperature, moisture and daylight. Muskoxen (<i>Ovibos moschatus</i>) are one of few large herbivores able to survive this harsh environment. Microbiome research of the gastrointestinal tract may hold clues as to how muskoxen exist in the Arctic, but also how this species may respond to rapid environmental changes. In this study, we investigated the effects of season (spring/summer/winter), year (2007-2016), and host genetic structure on population-level microbiome variation in muskoxen from the Canadian Arctic. We utilized 16S rRNA gene sequencing to characterize the fecal microbial communities of 78 male muskoxen encompassing two population genetic clusters.<a name="_Hlk534564036"> These clusters are defined by Arctic Mainland and Island populations, including; 1) two mainland sampling locations of the Northwest Territories and Nunavut; and 2) four locations of Victoria Island. </a>Between these geographic populations, we found that differences in the microbiome reflected host-associated genetic cluster with evidence of migration. Within populations, seasonality influenced bacterial diversity with no significant differences between years of sampling. We found evidence of pathogenic bacteria, with significantly higher presence in mainland samples. Our findings demonstrate the effects of seasonality and the role of host population-level structure in driving fecal microbiome differences in a large Arctic mammal.</p>
Strategies in herbivory by mammals revisited: The role of liver metabolism in a juniper specialist ( Neotoma stephensi ) and a generalist ( Neotoma albigula )
Although herbivory is widespread among mammals, few species have adopted a strategy of dietary specialization. Feeding on a single plant species often exposes herbivores to high doses of similar plant secondary metabolites (PSMs), which may exceed the animal's detoxification capacities. Therefore, theory predicts that specialists will have unique detoxification mechanisms to process high levels of dietary toxins. To evaluate this hypothesis, we compared liver metabolism of a juniper specialist, Neotoma stephensi (diet >85% juniper), to that of a sympatric generalist, N. albigula (diet ≤30% juniper). Specifically, we quantified the content of a key detoxification enzyme, cytochrome P450 2B (CYP2B) in liver microsomes, as well as the microsomal turnover of α-pinene, the most abundant terpene in the juniper species consumed by the specialist woodrat. In both Neotoma species, a 30% juniper diet increased CYP2B content (2-3x) and α-pinene turnover rates (4-fold). In N. stephensi, higher levels of dietary juniper (60% and 100%) further induced CYP2B content and increased turnover rates of α-pinene. Although no species-specific differences in α-pinene turnover rates were observed at 30% dietary juniper, CYP2B content was 1.7x higher in N. stephensi than in N. albigula (p<0.01). In N. stephensi, the rates of α-pinene turnover increased with dietary juniper and were positively correlated with CYP2B content. The ability of N. stephensi to elevate CYP2B content and rate of α-pinene turnover with increasing levels of juniper in the diet (from 30-100%) may facilitate juniper specialization in this species.
Data from: Seed size predicts global effects of small mammal seed predation on plant recruitment
<p>We conducted a global literature review and meta-analysis to evaluate whether seed size could predict post-dispersal seed predator effects on seed removal and plant recruitment, respectively. Datasets were built using data extracted from published studies focusing on seed predation by small mammals (see Methods for criteria and data extraction protocol). We found that seed size predicted small mammal seed removal rates and their impacts on plant recruitment consistent with optimal foraging theory, with intermediate seed sizes most strongly impacted globally - for both native and exotic plants. However, differences in seed size distributions among ecosystems conditioned seed predation patterns, with relatively larger-seeded species most strongly affected in grasslands (smallest seeds), and relatively smaller-seeded species most strongly affected in tropical forests (largest seeds). Such size-dependent seed predation has profound implications for coexistence among plants because it may enhance or weaken opposing life-history tradeoffs in an ecosystem-specific manner. Our results suggest that seed size may serve as a key life-history trait that can integrate consumer effects to improve understandings of plant coexistence. </p>
Code and data for: Exposure to climate change drives stability or collapse of desert mammal and bird communities
<p>The following code and data are used to generate the results for the publication "Exposure to climate change drives stability or collapse of desert mammal and bird communities". Climate_Data.zip contains the monthly minimum and maximum temperatures, vegetation data, and soil thickness data to generate microclimates. NicheMapR_code_and_files.zip contains the script and data necessary to generate the microhabitats. Endoscape.zip contains the data and script necessary to run the heat flux models. Resurvey_data.zip contains the jags data to run the occupancy models for small mammals and birds. The read_me file contains the descriptions of all data and script necessary to reproduce the data from the publication.</p>
Size-selective exclusion of mammals and invertebrates differently affects grassland plant communities depending on vegetation type
<p>Human-caused loss of vertebrate and invertebrate animals, defaunation, is increasing, and potentially affects plant community structure of diverse grassland ecosystems worldwide. We experimentally simulated defaunation using size-selective fences to progressively exclude large-, medium- and small-sized mammals, and invertebrates from two subalpine vegetation types in the Swiss National Park (SNP): intensively grazed short-grass and moderately grazed tall-grass vegetation. We assessed plant community properties yearly from 2009 to 2013, and examined treatment effects on plant community structure in the two grassland types. In the short-grass vegetation, the exclusion of large mammals increased total plant biomass, while the exclusion of large and medium-sized mammals increased total, grass and forb biomass compared to when all animals had access. These increases became stronger when also invertebrates were excluded. The exclusion of all mammals and invertebrates increased biomass of grasses by 205%, forbs by 100% and total plant biomass by 118% compared to when all animals had access, hence enhancing relative biomass of grasses from 43.6% to 60%, changing plant species composition and lowering richness of forbs by 16%, the number of plant families by 13% and family-level Shannon diversity by 23%. In contrast to these significant community-level responses found in the short-grass vegetation, there was no evidence that the size-selective exclusion of animals altered the plant community structure of the tall-grass vegetation. The contrasting results were due to the difference in plant community composition prior to our experiment, which were related to differences in quantity and quality of forage and in grazing intensities of herbivores between the two grassland types. Synthesis. Our results showed that different-sized animals, in particular large mammals and invertebrates, contributed to maintain the plant community structure in the short-grass vegetation, highlighting the importance of multiple, functionally different animal groups for ecosystem functioning and stability. In contrast to the short-grass vegetation, we could not detect such a top-down control by animals in the tall-grass vegetation. Our results suggest that potential defaunation effects on grassland plant community structure depend on the degree of grazing pressure release and grassland vegetation type.</p>
Data from: Sources of variation in maternal allocation in a long-lived mammal
<p>Life history theory predicts allocation of energy to reproduction varies with maternal age but additional maternal features may be important to the allocation of energy to reproduction. We aimed to characterize age-specific variation in maternal allocation and assess the relationship between maternal allocation and other static and dynamic maternal features. Mass measurements of 531 mothers and pups were used with Bayesian hierarchical models to explain the relationship between diverse maternal attributes and both the proportion of mass allocated by Weddell seal mothers, and the efficiency of mass transfer from mother to pup during lactation as well as the weaning mass of pups. Our results demonstrated that maternal mass was strongly and positively associated with the relative reserves allocated by a mother and a pup's weaning mass but that the efficiency of mass transfer declines with maternal parturition mass. Birthdate was positively associated with proportion mass allocation and pup weaning mass, but mass transfer efficiency was predicted to be highest at the mean birthdate. The relative allocation of maternal reserves declined with maternal age but the efficiency of mass transfer to pups increases, suggestive of selective disappearance of poor-quality mothers. These findings highlight the importance of considering multiple maternal features when assessing variation in maternal allocation.</p>
Data from: Bioturbation by mammals and fire interact to alter ecosystem-level nutrient dynamics in longleaf pine forests
Activities of ecosystem engineers can interact with other disturbances to modulate rates of key processes such as productivity and nutrient cycling. Bioturbation, movement of soil by organisms, is a widespread form of ecosystem engineering in terrestrial ecosystems. We propose that bioturbation by southeastern pocket gophers (Geomys pinetis), an abundant but declining ecosystem engineer in longleaf pine (Pinus palustris Mill.) forests, accelerates nutrient dynamics of the forest floor by burying litter and then reduces litter consumption and nitrogen (N) volatilization losses in the presence of fire. We evaluated our hypothesis by measuring how litter burial alters decomposition and N and phosphorus (P) turnover of longleaf pine and turkey oak (Quercus laevis Walt.) litter over four years, and then simulated interactive ecosystem-level effects of litter burial and low-intensity fires on N and P dynamics of the litter layer. In the field, mass loss was over two times greater and N and P were released much more rapidly from litter buried beneath mounds than on the surface of the forest floor. At a measured rate of mound formation covering 2.3 ± 0.6% of the forest floor per year, litter mass and N and P content of the forest floor simulated over an eight-year period were approximately 11% less than amounts in areas without pocket gopher mounds. In contrast to unburied litter, litter beneath mounds is protected from consumption during fires, and as fire interval increased, consumption rates decreased because mounds cover more years of accumulated litter. Our research indicates that bioturbation and burial of litter by pocket gophers accelerates turnover of N and P on the forest floor, and in the presence of fire, conserves N in this ecosystem where productivity is known to be nutrient limited.
Strandings of marine mammals, sea turtles and seabirds along the northern São Paulo coast, Brazil, from 2015 to 2018.
<p><span><span><span>To assess the potential impacts on seabirds, turtles and marine mammals from oil and gas production from the oceanic Pre-Salt province at Brazil's Santos Basin, the Brazilian environmental agency (IBAMA) required PETROBRAS, the main oil company in the basin, to implement the "Programa de Monitoramento de Praias da Bacia de Santos" (Santos Basin Beach Monitoring Program - PMP-BS). Since 2015 PMP-BS has been operating along the states of Santa Catarina, Paraná, São Paulo and Rio de Janeiro, to collect biological data from live and dead stranded animals. This dataset comprises the first three years of monitoring (September 2015 to August 2018) along the northern São Paulo State coastline, from 23°22'17.366" S 44°47'0.479" W to 23°45'24.046" S 45°50'23.335" W. During this period, 5450 animals of 47 species were recorded, 82.11% of which were dead and 17.89% alive when first observed. This dataset represents the first high-intensity monitoring effort in the area and is essential to establish baselines for future work that seek to better understand the impacts of human activities on marine ecosystems.</span></span></span></p>
Strandings of marine mammals, sea turtles and seabirds along central Santa Catarina coast, Brazil, from 2015 to 2018.
<p><span><span><span>To assess the potential impacts on seabirds, turtles and marine mammals from oil and gas production from the oceanic Pre-Salt province at Brazil's Santos Basin, the Brazilian environmental agency (IBAMA) required PETROBRAS, the main oil company in the basin, to implement the "Programa de Monitoramento de Praias da Bacia de Santos" (Santos Basin Beach Monitoring Program - PMP-BS). Since 2015 PMP-BS has been operating along the states of Santa Catarina, Paraná, São Paulo and Rio de Janeiro, to collect biological data from live and dead stranded animals. This dataset comprises the first three years of monitoring (September 2015 to August 2018) along Santa Catarina state's central coast, from 27°23'7.357" S 48°26'2.519" W to 27°50'24.231" S 48°33'48.706" W. During this period, 5497 animals of 46 species were recorded, 86.90% of which were dead and 13.10% alive when first observed This dataset represents the first high-intensity monitoring effort in the area and is essential to establish baselines for future work that seek to better understand the impacts of human activities on marine ecosystems.</span></span></span></p>
Figure 5 in Small mammal diversity in Semi-deciduous Seasonal Forest of the southernmost Brazilian Pampa: the importance of owl pellets for rapid inventories in human-changing ecosystems
Figure 5. Occlusal view of the lower molars of the Sigmodontine rodents from Tyto furcata pellets from the Municipality of São Lourenço do Sul, State of Rio Grande do Sul, Brazil. (A) = Akodon azarae, UFSC-CF 43-2-2, right m1-m2. (B) = Akodon sp., UFSC-CF 32-4-2, right m1-m3; (C) = Bibimys sp., UFSC-CF 32-5-2, right m1-m3. (D) = Calomys sp., UFSC-CF 32-6-2, right m1-m3. (E) = Holochilus sp., UFSC-CF 43-4-2, left m1-m3. (F) = Lundomys molitor, UFSC-CF 32-9-1, left m1-m3. (G) = Nectomys squamipes, UFSC-CF 32-10-1, right m1-m3. (H) = Oligoryzomys sp., UFSC-CF 32-11-2, right m1-m3. (I) = Oxymycterus sp., UFSC-CF 32-12-2, right m1-m3. (J) = Sooretamys angouya, UFSC-CF 32-13-2, left m1-m2. (K) = Wilfredomys oenax, UFSC-CF 32-14-2, left m1-m3. Scale bars: H = 200 µm; A, B, C, D, G, I, J, K = 500 µm; E, F = 1 mm.
ScienceDex guides
Understand access before you commit
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.