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205 results for “Functional Ecology”
Moss functional trait ecology: Trends, gaps, and biases in the current literature
<p>Functional traits are critical tools in plant ecology for capturing organism-environment interactions based on trade-offs as well as making links between organismal and ecosystem processes. While broad frameworks for functional traits have been developed for vascular plants, we lack the same for bryophytes, despite an escalation in the number of bryophyte functional trait studies conducted in the last 45 years and an increased recognition of the ecological roles bryophytes play across ecosystems. In this review, we compiled data from 282 published articles (10005 records) focusing on functional traits measured in mosses, and sought to (a) examine trends in types of traits measured, (b) capture taxonomic and geographic breadth of trait coverage, (c) reveal biases in coverage in the current literature, and (d) develop a bryophyte-function index (BFI) to describe completeness of current trait coverage and identify global gaps to focus research efforts. The most commonly measured response traits (those related to growth/reproduction in individual organisms) and effect traits (those that directly affect community/ecosystem scale processes) fell into the categories of morphology (e.g. leaf area, shoot height) and nutrient storage/cycling, and our BFI revealed that these data were most commonly collected from temperate and boreal regions of Europe, North America and east Asia. However, fewer than 10% of known moss species have available functional trait information. Our synthesis revealed that there is a need for research on traits related to ontogeny, sex, and intraspecific plasticity, and on co-measurement of traits related to water-relations and bryophyte-mediated soil processes. </p>
Do ecological specialization and functional traits explain the abundance–frequency relationship? Arable weeds as a case study
<p>Aim: The abundance-frequency relationship (AFR) is among the most-investigated pattern in biogeography, yet the relative contributions of niche-based processes related to ecological strategies, and of neutral processes related to spatial colonization-extinction dynamics, remains uncertain. Here, we tested the influences of ecological specialization and functional traits on local abundance and regional frequency, to determine the contribution of niche-based processes.</p> <p>Location: France and the UK.</p> <p>Taxon: Vascular plants.</p> <p>Methods: We used two arable weed surveys covering 1544 fields in Western Europe (France, UK), along with functional traits related to resource acquisition, flowering phenology and dispersal. We quantified specialization both to arable habitat and to individual crop types, and performed phylogenetic path analyses to test competing models accounting for direct and indirect relationships between traits, specialization, abundance and frequency. We performed the analyses for all species in each country, as well as for a subset of the most abundant species.</p> <p>Results: Local abundance of weeds increased with their regional frequency, but the relationship became negative or null when considering only the most abundant weeds. Specialization to arable habitat and to individual crop type either had a similar or opposite effect on regional frequency and local abundance explaining these positive and negative relationships, respectively. Regional frequency was not directly explained by any trait but indirectly by resource requirement traits conferring specialization to the arable habitat. Conversely, high local abundance was directly related to low seed mass, high SLA, early and short flowering.</p> <p>Main Conclusions: Direct/indirect effects of functional traits on local abundance/regional frequency, respectively, supports a significant role of niche-based processes in AFR. Neutral spillover dynamics could further explain a direct linkage of abundance and frequency. Similar causal paths and consistent influences of traits on specialization and abundance in the two studied regions suggest genericity of these findings.</p>
Distance decay 2.0 – a global synthesis of taxonomic and functional decay in ecological communities
<p>Datasets used in the analysis of the manuscript by Graco-Roza, C., Aarnio, S., Abrego, N., Acosta, A. T., Alahuhta, J., Altman, J., ... & Soininen, J. (2022). Distance decay 2.0–a global synthesis of taxonomic and functional turnover in ecological communities.<em> Global Ecology and Biogeography.</em></p> <p> </p> <p><strong>raw_data.zip - </strong>Includes the raw datasets used in the analysis. </p> <p><strong>processed_data.xlsx - </strong>Includes the results from the distance decay analysis, specifically: </p> <p>- Dataset : dataset code (same as in raw_data)</p> <p>- Beta_type: The component of beta diversity (i.e., total similarity, replacement, richness differences)</p> <p>- Level : Taxonomic (TAX) or functional (FUN)</p> <p>- Based: Occurrence (occ) or Abundance (abund)</p> <p>- Organism: Code used to describe organisms (see Appendix S1 of the paper)</p> <p>- Realm: Aquatic, Terrestrial, or Freshwaters</p> <p>- Body_size </p> <p>- Dispersal_mode: Seeds, Passive or Active</p> <p>- Latitude: Mean latitude of the dataset (average of all data points)</p> <p>- Latitude_range Distance in kilometres between the two vertically most distant points.</p> <p>- Longitude_range: Distance in kilometres between the two horizontally most distant points.</p> <p>- spa_min: minimum distance between sites (in kilometres) </p> <p>- spa_mean: average distance between sites (in kilometres) </p> <p>- spa_max: maximum distance between sites (in kilometres)</p> <p>- ext: area in kilometres covered by all sites in the dataset</p> <p>- n_sites: Number of sites in each dataset</p> <p>- n_var: Number of environmental variables in each dataset</p> <p>- gamma_spe: Number of species observed in each dataset</p> <p>- gamma_trait: Volume of the hypervolume constructed using the traits in each dataset</p> <p>- n_traits: Number of traits in each dataset</p> <p>- Intercept_spa: Intercept of GLM including community similarity and spatial distances</p> <p>- Slope_Spa: Slope of GLM including community similarity and spatial distances</p> <p>- R2_spa: R² of GLM including community similarity and spatial distances</p> <p>- Intercept_env: Intercept of GLM including community similarity and environmental distances</p> <p>- Slope_env: Slope of GLM including community similarity and environmental distances</p> <p>- R2_env: R² of GLM including community similarity and environmental distances</p> <p>- Mantel_spa: Mantel statistics of community similarity and spatial distances</p> <p>- spa_signif: Significance of Mantel statistics considering community similarity and spatial distances</p> <p>- Mantel_env: Mantel statistics considering community similarity and environmental distances</p> <p>- env_signif: Significance of Mantel statistics considering community similarity and environmental distances</p> <p><strong>Null_models.zip - </strong>Includes the results from the null models for each dataset.</p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p>
Variable relationships between trait diversity and avian ecological functions in agroecosystems
<p>1) The diversity of traits within animal assemblages has been shown to affect the magnitude of animal-provided ecological functions. However, little is known about how consistent trait diversity effects are across ecological functions and ecosystems. More importantly, the importance of trait diversity in driving ecosystem functioning, relative to other components of biodiversity, has rarely been assessed. It also remains unclear how environmental gradients filter trait diversity and, ultimately, modulate ecological functions. </p> <p>2) Here we test how different biodiversity components (i.e., trait diversity, phylogenetic diversity and abundance) affect the magnitude of avian seed dispersal and insect predation along large environmental gradients. We sampled frugivorous and insectivorous birds and their ecological functions across gradients of forest cover and fruit and insect abundances in woodland pastures and apple orchards in Northern Spain. We measured 6 morphological traits and compiled phylogenetic information on 43 bird species. We used Structural Equation Models to disentangle the effects of environmental gradients and biodiversity components on ecological functions.</p> <p>3) We found that different avian functions in the same agroecosystem were controlled by different biodiversity components. While seed dispersal was positively driven by bird abundance in woodland pastures, insect predation responded positively to trait and phylogenetic diversity. The positive effects of trait diversity on insect predation were, on the other hand, consistent across woodland pastures and apple orchards.</p> <p>4) Our results also pinpointed forest cover and resource availability as filters of the different components of avian diversity, suggesting that environmental gradients condition the effects of biodiversity on avian ecological functions.</p> <p>5) Our findings reveal variable effects of trait diversity on two different avian ecological functions, but consistent effects on the same function across agroecosystems. Consolidating the generalities of trait diversity effects will require further multi-function studies, as well as a unifying framework for animal-driven functions that integrates the causal links between environmental gradients, the different biodiversity components, and ecological functions.</p> <p> </p>
Ciliates functional ecology and taxonomic affiliation
<p>Associated publication: Barouillet et al. Paleoreconstructions of ciliate communities reveal long-term ecological changes in temperate lakes</p> <p>This table contains information about the ecology of ciliates used in our study. Each raw correspond to a unique taxonomic entry obtained from our metabarcoding dataset. The association of each taxonomical entry to their functional traits was done through an exhaustive literature review, the list of reference can be found in the second page of the excel document.</p> <p>The foraging traits categories created were inspired from a combination of several previously published categories based on the feeding ecology of ciliates developed by Weisse (2017), Foissner and Berger (1996), Foissner et al. (2008) and Beaver and Crisman (1989).</p> <p> </p> <p><strong><em>References:</em></strong></p> <p>Weisse, T. Functional diversity of aquatic ciliates. European Journal of Protistology 61, 331–358 (2017)</p> <p>Foissner, W. & Berger, H. A user-friendly guide to the ciliates (Protozoa, Ciliophora) commonly used by hydrobiologists as bioindicators in rivers, lakes, and waste waters, with notes on their ecology. Freshwater Biology 35, 375–482 (1996).</p> <p>Foissner, W., Chao, A. & Katz, L. A. Diversity and geographic distribution of ciliates (Protista: Ciliophora). Biodivers Conserv 17, 345–363 (2008).</p> <p>Beaver, J. R. & Crisman, T. L. The role of ciliated protozoa in pelagic freshwater ecosystems. Microb Ecol 17, 111–136 (1989).</p>
Data from: Dine and dash: How trophic ecology and migration shape functional locomotory traits in Clupeiform fishes
<p>Understanding how interactions between multiple selective forces influence traits at the macroevolutionary scale is key to understanding adaptive landscapes. Diadromy, an extreme form of migration between marine and freshwater environments, is thought to require locomotory traits conducive to long-distance migration. Yet, other selective forces, such as predator avoidance, habitat use, and prey acquisition, are also likely to shape locomotory adaptation in fishes. We examined how diadromy and trophic ecology together influenced locomotory trait diversity across <em>Clupeiformes</em>, a clade of fishes containing high trophic diversity and numerous transitions to diadromy. We found that both diadromy and trophic ecology influenced the pattern and pace of trait evolution. Diadromous taxa rapidly evolved traits characterized by high cruising efficiency, but the extent to which diadromous and non-diadromous taxa differed depended on their trophic ecology. Macropredators showed greater differences in locomotory traits between diadromous and non-diadromous taxa than phytodetritivores and micropredators, suggesting that traits conducive to migration might be most costly to consumers of evasive prey. This work shows that simultaneously characterizing the roles of multiple ecological or life-history factors in phenotypic evolution can bring the topography of adaptive landscapes into sharper focus and provide a more holistic view of the forces driving patterns of trait evolution.</p>
Optimizing seagrass conservation for ecological functions
<p>Data used in the publication of "Optimizing seagrass conservation for ecological functions" in Ecosystems</p>
Dominance by a single species structures multiple ecological functions in urban landscapes
<p>Dataset used in the analysis of the manuscript "Dominance by a single species structures multiple ecological functions in urban landscapes"</p>
Bringing light onto the Raunkiæran shortfall: A comprehensive review of traits used in functional animal ecology
<p>Trait-based approaches elucidate the mechanisms underlying biodiversity response to, or effects on, the environment. Nevertheless, the Raunkiæran shortfall – the dearth of knowledge on species traits and their functionality – presents a challenge in the application of these approaches. We conducted a systematic review to investigate the trends and gaps in trait-based animal ecology in terms of taxonomic resolution, trait selection, ecosystem type, and geographical region. In addition, we suggest a set of crucial steps to guide trait selection and aid future research to conduct within and cross-taxon comparisons. We identified 1,655 articles using virtually all animal groups published from 1999 to 2020. Studies were concentrated in vertebrates, terrestrial habitats, and the Palearctic realm, and mostly investigated trophic and habitat dimensions. Additionally, they focused on response traits (79.4%) and largely ignored intraspecific variation (94.6%). Almost 36% of the datasets did not provide the rationale behind the selection of morphological traits. The main limitations of trait-based animal ecology were the use of trait averages and a rare inclusion of intraspecific variability. Nearly one-fifth of the studies based only on response traits conclude that trait diversity impacts ecosystem processes or services without justifying the connection between them or measuring them. We propose a guide for standardising trait collection that includes: (i) determining the type of trait and the mechanism linking the trait to the environment, ecosystem, or the correlation between the environment, trait, and ecosystem, (ii) using a "periodic table of niches" to select the appropriate niche dimension to support a mechanistic trait selection, and (iii) selecting the relevant traits for each retained niche dimension. By addressing these gaps, trait-based animal ecology can become more predictive. This implies that future research will likely focus on collaborating to understand how environmental changes impact animals and their capacity to provide ecosystem services and goods.</p>
The structure and ecological function of the interactions between plants and arbuscular mycorrhizal fungi through multilayer networks
<ol> <li>Arbuscular mycorrhizas are one of the most frequent mutualisms in terrestrial ecosystems. Although studies on plant mutualistic interaction networks suggest that they may leave their imprint on plant community structure and dynamics, this has not been explicitly assessed. Thus, in the context of plant-fungi interactions, studies explicitly linking plant-mycorrhizal fungi interaction networks with key ecological functions of plant communities, such as recruitment, are lacking. </li> <li>In this study, we analyse, in two Mediterranean forest communities of southern Iberian Peninsula, how plant-AMF networks modulate plant-plant recruitment interaction networks. We use a new approach integrating plant-AMF and plant recruitment networks into a single multilayer structure. We also develop a new metric (Interlayer Node Neighbourhood Integration, INNI) to explore the impact of a given node on the structure across layers.</li> <li>Similarity of plant species in their AMF communities is positively related to the observed frequency of recruitment interactions in the field. Results reveal that properties of plant-AMF networks, such as plant degree and centrality, contribute to explaining properties of the plant recruitment network, such as in- and out-degree (i.e. sapling bank and canopy service) and its modular structure. However, these relationships differed between the two forest communities. Finally, we identify particular AMF that contribute to integrating the neighbourhood of recruitment interactions between plants.</li> <li>This multilayer network approach is useful to explore the role of plant-AMF interactions on recruitment, a key ecosystem function enhanced by fungi. Results provide evidence that the complex structure of plant-AMF interactions impacts functional and structurally plant-plant interactions, which in turn may potentially influence plant community dynamics, through their effects on the structure of the recruitment network.</li> </ol>
Data from: Form function relationships support fast ecological shift in a lizard
<p>Macroevolutionary changes such as variation in habitat use or diet are often associated with convergent, adaptive changes in morphology. However, it is still unclear how small-scale morphological variation at the population level can drive shifts in ecology as observed at a macroevolutionary scale. Here, we address this question by investigating how variation in cranial form and feeding mechanics relate to rapid changes in diet in an insular lizard (<em>Podarcis siculus</em>) after experimental introduction into a new environment. We first quantified differences in the skull and jaw muscle architecture between the source and introduced population using 3D geometric morphometrics and dissections. Next, we tested the impact of the observed variation in morphology on the mechanical performance of the masticatory system using computer-based biomechanical simulation techniques. Our results show that the small differences in shape, combined with variation in muscle architecture, can result in significant differences in performance allowing access to novel trophic resources. The confrontation of these data with the already described macroevolutionary relationships between cranial form and function in these insular lizards provides insights into how selection can, over relatively short time scales, drive major changes in ecology through its impact on mechanical performance.</p>
An analysis of the effects of prior drying and vertebrate colonization on ecological functioning and vertebrate fitness
<p>We investigated the legacy effects of drying and refilling of wetlands via mesocosms on growth and survival of recolonizing aquatic vertebrates and their subsequent effects on ecological function. Specifically, we tested the effects of prior drying on anuran and fish growth and survival (using Gompertz growth curves), and joint effects of vertebrates and drying on periphyton biomass, and whole-system gross primary productivity. Using 64 1,000-L hard plastic cattle tanks to create replicate aquatic mesocosms, four trophic treatments (no vertebrate control, larval anurans, fish, larval anurans and fish) were crossed with two drying treatments (undried and dried-refilled) to simulate different outcomes of colonization by two common vertebrate guilds and drying/refilling cycles. Mesocosms with anuran treatments received 50 <em>Lithobates</em> <em>blairi</em> tadpoles (1,600 total) and mesocosms with fish treatments received one <em>Lepomis</em> <em>cyanellus</em> juvenile (32 total). We recorded anuran growth rates, survival, and time/size at metamorphosis, fish growth, gross primary productivity, and periphyton biomass over 12 weeks from 9 May 2021 to 1 August 2021.</p> <p>This dataset contains 4 R script files (one for each of the 4 components of this study: Amphibians, fish, gross primary productivity, and periphyton) along with their corresponding Excel files. Survival for each tank was calculated as the total number of emerged frogs from weeks 1–12 divided by 50 (initial number of larvae per tank). Size at metamorphosis was determined by dry mass (g) measured after 72 hours in a drying oven at 60° C. Metamorph dry mass and wet mass were strongly correlated (grams dry mass = 0.1957*grams wet mass – 0.0398; R<sup>2</sup> = 0.9733) and we chose dry mass for size at metamorphosis to reduce variability caused by water weight. We measured the dry mass of metamorphosed frogs to the nearest 0.01g. Time to metamorphosis was measured as the days past the first day of the experiment (9 May 2021) to the day the frog reached Gosner stage 46 (Gosner, 1960). We calculated relative fish growth as the change in standard length (SL) over the duration of the experiment divided by the initial SL for each fish. Individual fish growth calculations used each of the single fish per tank as independent replicates. Relative fish growth measurements for fish within the same treatments (n = 8) were combined and analyzed together. Gross primary productivity values were collected by measuring dissolved oxygen (DO) values after sunset for maximum DO and before sunrise for minimum DO. DO measurements were collected using a YSI meter (ProQuatro XA00088 – 02; YSI Inc., Yellow Springs, OH, USA) as a percentage out of 500. </p> <p>Gompertz growth curves provided estimates of asymptotic larval body mass (W<sub>max</sub>), maximum growth rate (K), and the time at which growth rates reach K (xm). However, only W<sub>max</sub> and K were included in statistical analyses as they were the primary parameters of interest for our study. All statistical analyses were performed in RStudio version 4.1.1 (R Core Team, 2021). We constructed generalized linear models (GLMs; 'stats' package in R; R Core Team, 2021) for each of Wmax, K, number of emerged frogs (survival), size at metamorphosis, time to metamorphosis, range of metamorph sizes, and range of metamorphosis days as response variables with drying treatment as the predictor variable. We also constructed GLMs with fish growth as the response variable and a combination of drying treatment and anuran presence as predictor variables with interaction terms. We then used type II ANOVAs for models without significant interaction terms and type III ANOVAs for models with interaction terms via the 'car' package in R (Fox & Weisberg, 2019) to determine the treatment effects on above response variables. GLM model fit and assumptions were checked by a visual assessment of the plotted residuals of each GLM model.</p> <p>Since GPP varied nonlinearly over the duration of the experiment (Fig. 4), we investigated the effects of drying and refilling and trophic treatment on GPP using generalized additive mixed models (GAMMs) with the 'gam' function ('mgcv' package; Wood, 2015). The GAMM model included trophic treatment and drying treatment as parametric effects, trophic treatment over time, drying treatment over time, and time as cubic regression smoother terms, and individual mesocosm and individual mesocosm over time as random effects. The number of knots was set to -1 to utilize the generalized cross-validation method to automatically choose the number of knots for the model. GAMMs allow us to test hypotheses related to main effects (e.g., trophic treatment, drying treatment) within non-linear time series while accounting for random effects related to individual mesocosms and changes over time due to seasonality. We then used a subsequent ANOVA via the 'anova.gam' function within the 'gam' package to determine treatments effects. </p> <p>We investigated the effects of drying and refilling and trophic treatment on periphyton biomass using GAMMs constructed and analyzed identically to GPP except that they are only for experimental days 19–80. This is because periphyton sampling techniques were not standardized until after the second week of data collection. Because data for periphyton biomass was right-skewed and included some 0's that were not true zeros (periphyton was present but below measurement limits), we added 0.5 to each measurement (untransformed mean was 1.838 g) and then log-transformed them. Models run with the transformed data met the assumptions of GAMMs and subsequent ANOVAs.</p>
Eutrophication decreases ecological resilience by reducing species diversity and altering functional traits of submerged macrophytes
<p><span>Positive feedback is key to producing alternative stable states and largely determines ecological resilience in response to external perturbations. Understanding the positive feedback mechanisms in macrophyte-dominated lakes is crucial for resilience-based management and restoration. Based on the field investigation of submerged macrophyte communities in 35 lakes in China, we found that morphological complexity (<em>MC</em>) and morphological plasticity (<em>MP</em>) are correlated with the stoichiometric homeostasis of phosphorus (<em>H<sub>P</sub></em>) and are related to ecosystem structure, functioning, and stability. We also found that the positive feedback strength of lakes dominated by macrophytes is biomass- and diversity-dependent. Eutrophication can decrease the community biomass by decreasing community<em> MC, MP,</em> and <em>H<sub>P</sub></em> and the species diversity through low-light availability, ultimately decreasing the positive feedback strength and resilience of clear-water states. We argue that functional traits and species diversity should be considered to build more resilient ecosystems in future changing environment scenarios.</span></p>
Data from: Non-native mammals are weak candidates to substitute ecological function of native avian seed-dispersers in an island ecosystem
<p>Although prominent examples exist of non-native species causing substantial ecological harm, many have neutral or positive effects, including filling surrogate roles once performed by extinct native organisms. We tested the ecological roles of two non-native mammals as seed dispersers or seed predators in Guåhan, which, due to invasive brown treesnakes (<em>Boiga</em> <em>irregularis</em>), is devoid of native seed dispersers – birds and bats. We conducted feeding trials with captive rats (<em>Rattus</em> spp.), which are present but uncommon due to predation by snakes, and pigs (<em>Sus</em> <em>scrofa</em>), which are abundant. We examined if and how they interacted with common forest fruits. We then compared how any gut-passed or handled seeds germinated compared to seeds left in whole fruit or depulped seeds.</p> <p>Rats and pigs interacted with most of the fruits and seeds (>80%) that they were fed. Of those, most seeds were destroyed – 78% for rats and 90% for pigs, across both native and non-native plant species. Compared to seeds germinating within whole fruits, rats improved germination of the seeds that they handled without ingesting, while pigs diminished the germination of seeds that they handled. The small percentage of seeds (approximately 1.5% for rats and 5% for pigs) that survived gut passage germinated in higher proportions than those in whole fruits. Percentages of seed survival to germination are lower than those found in similar studies with native avian frugivores. Our results indicate that pigs and rats have mixed effects on seeds, but are not suitable surrogates for native seed dispersers.</p>
Data from: Genomic and transcriptomic analyses reveal polygenic architecture for ecologically-important functional traits in aspen (Populus tremuloides Michx.)
<p>Intraspecific genetic variation in foundation species such as aspen (<em>Populus</em> <em>tremuloides</em> Michx.) shapes their impact on forest structure and function. Identifying genes underlying ecologically important traits is key to understanding that impact. Previous studies, using single-locus genome-wide association (GWA) analyses to identify candidate genes, have identified fewer genes than anticipated for highly heritable quantitative traits. Mounting evidence suggests that polygenic control of quantitative traits is largely responsible for this "missing heritability" phenomenon. Our research characterized the genetic architecture of 30 ecologically important traits using a common garden of aspen through genomic and transcriptomic analyses. A multilocus association model revealed that most traits displayed a highly polygenic architecture, with most variation explained by loci with small effects (likely below the detection levels of single-locus GWA methods). Consistent with a polygenic architecture, our single-locus GWA analyses found only 38 significant SNPs in 22 genes across 15 traits. Next, we used differential expression analysis on a subset of aspen genets with divergent concentrations of salicinoid phenolic glycosides (key defense traits). This complementary method to traditional GWA discovered 1,243 differentially expressed genes for a polygenic trait. Soft clustering analysis revealed three gene clusters (241 candidate genes) involved in secondary metabolite biosynthesis and regulation. Our work reveals that ecologically important traits governing higher-order community- and ecosystem-level attributes of a foundation forest tree species have complex underlying genetic structures and will require methods beyond traditional GWA analyses to unravel.</p>
Data from: Flexibility of fetal tolerance: Immune function during pregnancy varies between ecologically distinct populations
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The functional ecology of bat pollination in the African sausage tree Kigelia africana (Bignoniaceae)
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Data from: Functional trait plasticity diverges between sexes in African cichlids: a contribution toward ecological sexual dimorphism?
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The structure and ecological function of the interactions between plants and arbuscular mycorrhizal fungi through multilayer networks
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Data from: Will like replace like? linking thermal performance to ecological function across predator and herbivore populations
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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
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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
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