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Fig. 7. Vertebral character trait evolution across phocoenids and related delphinoids. A. Character 2, thoracic vertebral counts. B. Character 8 in New fossil remains from the Pliocene Koetoi Formation of northern Japan provide insights into growth rates and the vertebral evolution of porpoises
Fig. 7. Vertebral character trait evolution across phocoenids and related delphinoids. A. Character 2, thoracic vertebral counts. B. Character 8, ratio of centrum length/centrum height of lumbar vertebrae. C. Character 12, height of neural spine. D. Character 14, regional anterior inclination of neural arches. See Table 2 for detailed character descriptions.
Figure 1 in Review Of Bryophyte Functional Traits In Ecological Studies
Figure 1. Example of two bryophyte species Radula complanata (L.) Dumort., 1831) and Dicranum viride (Lindberg, 1863) with different life strategies (D. viride: perennial stayer; Radula complanata: perennial shuttle species) and life forms (D. viride: cushion; R. complamata: turf), which share the same substrate affinity trait: bark (BernhardtRömermann et al. 2018). Photo: Anna PastareSkutele.
Figure 2 in Review Of Bryophyte Functional Traits In Ecological Studies
Figure 2. Bryophyte species complex on log in black alder swamp forest habitat. Photo: Anna PastareSkutele.
Chinese Calligraphy Reproduction Dataset with Writes' Trait EI
<p>This is a dataset of Chinese calligraphy reproductions, with 605 reference characters and 48,826 reproduced characters. The excel file contains the correspondence between reference characters and reproducedcharacters. In addition, it contains information about the writer's emotional intelligence. The dataset can be used to predict the writer's trait emotional intelligence from calligraphy reproduction.</p>
Plant traits shape global spatiotemporal variations in photosynthetic efficiency
<p>Dataset to reproduce key results in the following work: Plant traits shape global spatiotemporal variations in photosynthetic efficiency</p>
Effectively controlling for sample relatedness in large-scale GWAS: application to 79 EHR-derived longitudinal traits
<p><span>Sample relatedness is a major confounder in genome-wide association studies (GWAS), potentially leading to inflated type I error rates if not appropriately controlled. A common strategy is to incorporate a random effect related to genetic relatedness matrix (GRM) into regression models. However, this approach is challenging for large-scale GWAS of complex traits, such as longitudinal traits. Here we propose a scalable and accurate analysis framework, SPA<sub>GRM</sub>, which controls for sample relatedness via a precise approximation of the joint distribution of genotypes. SPA<sub>GRM</sub> can utilize GRM-free models and thus is applicable to various trait types and statistical methods, including linear mixed models and generalized estimation equations for longitudinal traits. A hybrid strategy incorporating saddlepoint approximation greatly increases the accuracy to analyze low-frequency and rare genetic variants, especially in unbalanced phenotypic distributions. We also introduce SPA<sub>GRM(CCT)</sub> to aggregate the results following different models via Cauchy combination test. Extensive simulations and real data analyses demonstrated that SPA<sub>GRM</sub> maintains well-controlled type I error rates and SPA<sub>GRM(CCT)</sub> can serve as a broadly effective method. Applying SPA<sub>GRM</sub> to 79 longitudinal traits extracted from</span><span> </span><span>UK Biobank primary care data, we identified 7,463 genetic loci, making a pioneering attempt to conduct GWAS for these traits as longitudinal traits.</span></p>
Fungi ecomorphological trait data
<p>Ecomorphological trait data for fungi derived from the following sources:</p> <p>Bodensteiner, P., Binder, M., Moncalvo, J.M., Agerer, R. and Hibbett, D.S., 2004. Phylogenetic relationships of cyphelloid homobasidiomycetes. Molecular Phylogenetics and Evolution, 33(2), pp.501-515. <a href="https://doi.org/10.1016/j.ympev.2004.06.007">https://doi.org/10.1016/j.ympev.2004.06.007 </a></p> <p>Diederich, P., Lawrey, J.D., Ertz, D., 2018. The 2018 classification and checklist of lichenicolous fungi, with 2000 non-lichenized, obligately lichenicolous taxa. The Bryologist 121, 340–425. <a href="https://doi.org/10.1639/0007-2745-121.3.340">https://doi.org/10.1639/0007-2745-121.3.340 </a></p> <p>Hassett, B., Vonnahme, T., Peng, X., Jones, E. and Heuzé, C. (2020) Global diversity and geography of planktonic marine fungi. Botanica Marina, Vol. 63 (Issue 2), pp. 121-139. <a href="https://doi.org/10.1515/bot-2018-0113">https://doi.org/10.1515/bot-2018-0113 </a></p> <p>He, M.-Q., Zhao, R.-L., Hyde, K.D., Begerow, D., Kemler, M., Yurkov, A., McKenzie, E.H.C., Raspé, O., Kakishima, M., Sánchez-Ramírez, S., Vellinga, E.C., Halling, R., Papp, V., Zmitrovich, I.V., Buyck, B., Ertz, D., Wijayawardene, N.N., Cui, B.-K., Schoutteten, N., Liu, X.-Z., Li, T.-H., Yao, Y.-J., Zhu, X.-Y., Liu, A.-Q., Li, G.-J., Zhang, M.-Z., Ling, Z.-L., Cao, B., Antonín, V., Boekhout, T., da Silva, B.D.B., De Crop, E., Decock, C., Dima, B., Dutta, A.K., Fell, J.W., Geml, J., Ghobad-Nejhad, M., Giachini, A.J., Gibertoni, T.B., Gorjón, S.P., Haelewaters, D., He, S.-H., Hodkinson, B.P., Horak, E., Hoshino, T., Justo, A., Lim, Y.W., Menolli, N., Mešić, A., Moncalvo, J.-M., Mueller, G.M., Nagy, L.G., Nilsson, R.H., Noordeloos, M., Nuytinck, J., Orihara, T., Ratchadawan, C., Rajchenberg, M., Silva-Filho, A.G.S., Sulzbacher, M.A., Tkalčec, Z., Valenzuela, R., Verbeken, A., Vizzini, A., Wartchow, F., Wei, T.-Z., Weiß, M., Zhao, C.-L., Kirk, P.M., 2019. Notes, outline and divergence times of Basidiomycota. Fungal Diversity 99, 105–367. <a href="https://doi.org/10.1007/s13225-019-00435-4">https://doi.org/10.1007/s13225-019-00435-4 </a></p> <p>Hosaka, K., Bates, S.T., Beever, R.E., Castellano, M.A., Colgan III, W., Domínguez, L.S., Nouhra, E.R., Geml, J., Giachini, A.J., Kenney, S.R. and Simpson, N.B., 2006. Molecular phylogenetics of the gomphoid-phalloid fungi with an establishment of the new subclass Phallomycetidae and two new orders. Mycologia, 98(6), pp.949-959. <a href="https://doi.org/10.1080/15572536.2006.11832624">https://doi.org/10.1080/15572536.2006.11832624</a></p> <p>Riccioni C, Belfiori B, Rubini A, Bucci G, Ianigro M (2024). Dataset of endophytic and forest fungi (IBBR-CNR-FABI-01). Consiglio Nazionale delle Ricerche, Istituto di Bioscienze e BioRisorse (CNR-IBBR). Occurrence dataset <a href="https://doi.org/10.15468/arjsuy">https://doi.org/10.15468/arjsuy</a> accessed via GBIF.org on 2025-01-14.</p> <p>Wijayawardene, N.N., Hyde, K.D., Rajeshkumar, K.C., Hawksworth, D.L., Madrid, H., Kirk, P.M., Braun, U., Singh, R.V., Crous, P.W., Kukwa, M., Lücking, R., Kurtzman, C.P., Yurkov, A., Haelewaters, D., Aptroot, A., Lumbsch, H.T., Timdal, E., Ertz, D., Etayo, J., Phillips, A.J.L., Groenewald, J.Z., Papizadeh, M., Selbmann, L., Dayarathne, M.C., Weerakoon, G., Jones, E.B.G., Suetrong, S., Tian, Q., Castañeda-Ruiz, R.F., Bahkali, A.H., Pang, K.-L., Tanaka, K., Dai, D.Q., Sakayaroj, J., Hujslová, M., Lombard, L., Shenoy, B.D., Suija, A., Maharachchikumbura, S.S.N., Thambugala, K.M., Wanasinghe, D.N., Sharma, B.O., Gaikwad, S., Pandit, G., Zucconi, L., Onofri, S., Egidi, E., Raja, H.A., Kodsueb, R., Cáceres, M.E.S., Pérez-Ortega, S., Fiuza, P.O., Monteiro, J.S., Vasilyeva, L.N., Shivas, R.G., Prieto, M., Wedin, M., Olariaga, I., Lateef, A.A., Agrawal, Y., Fazeli, S.A.S., Amoozegar, M.A., Zhao, G.Z., Pfliegler, W.P., Sharma, G., Oset, M., Abdel-Wahab, M.A., Takamatsu, S., Bensch, K., de Silva, N.I., De Kesel, A., Karunarathna, A., Boonmee, S., Pfister, D.H., Lu, Y.-Z., Luo, Z.-L., Boonyuen, N., Daranagama, D.A., Senanayake, I.C., Jayasiri, S.C., Samarakoon, M.C., Zeng, X.-Y., Doilom, M., Quijada, L., Rampadarath, S., Heredia, G., Dissanayake, A.J., Jayawardana, R.S., Perera, R.H., Tang, L.Z., Phukhamsakda, C., Hernández-Restrepo, M., Ma, X., Tibpromma, S., Gusmao, L.F.P., Weerahewa, D., Karunarathna, S.C., 2017. Notes for genera: Ascomycota. Fungal Diversity 86, 1–594. <a href="https://doi.org/10.1007/s13225-017-0386-0">https://doi.org/10.1007/s13225-017-0386-0</a></p>
Spreadsheet Template for Fungi Ecomorphological Trait Data
<p>Spreadsheet template for <a href="https://doi.org/10.5281/zenodo.14647411">Fungi ecomorphological trait data</a></p>
Prey diversity constrains the adaptive potential of predator foraging traits
<p>Predators are generally under selective pressure to get better at foraging, leading to steeper functional responses and stronger predator-prey interactions. Yet strong interactions can de-stabilize food webs, and most interactions across ecological communities are thought to be weak. This conflict between evolutionary and community expectations for the strength of predator-prey interactions represents a fundamental gap in our understanding of how the evolution of foraging plays out in food webs. Here we help to resolve the conflict by showing analytically that the expectation for the evolution of steeper functional responses is relaxed in communities with diverse prey types. We simulate communities with varying prey richness and show that increasing prey richness can indeed constrain the adaptive potential of predator foraging traits, but that at low prey richness predators can evolve to have a stronger interaction with prey that have high net energy yields. Our results also indicate that handling time plays a role in determining whether predators may evolve to have a stronger interaction with abundant prey, suggesting that the evolution of keystone predator modules in food webs is most likely when handling times are negligible. Our results also provide a new mechanism predicting more diffuse interactions in diverse tropical communities relative to more species-poor communities at higher latitudes.</p>
Functional biogeography of Neotropical moist forests: trait-climate relationships and assembly patterns of tree communities
<p>Aim: Here we examine the functional profile of regional tree species pools across the latitudinal distribution of Neotropical moist forests, and test trait-climate relationships among local communities. We expected opportunistic strategies (acquisitive traits, small seeds) to be overrepresented in species pools further from the equator due to long-term instability, but also in terms of abundance in local communities in currently wetter, warmer and more seasonal climates.</p> <p>Location: Neotropics.</p> <p>Time period: Recent.</p> <p>Major taxa studied: Trees.</p> <p>Methods: We obtained abundance data from 471 plots across nine Neotropical regions, including ~100,000 trees of 3,417 species, in addition to six functional traits. We compared occurrence-based trait distributions among regional species pools, and evaluated single trait-climate relationships across local communities using community abundance-weighted means (CWM). Multivariate trait-climate relationships were assessed by a double-constrained correspondence analysis that tests both how CWMs relate to climate and how species distributions, parameterized by niche centroids in climate space, relate to their traits.</p> <p>Results: Regional species pools were undistinguished in functional terms, but opportunistic strategies dominated local communities further from the equator, particularly in the northern hemisphere. Climate explained up to 57% of the variation in CWM traits, with increasing prevalence of lower-statured, light-wooded and softer-leaved species bearing smaller seeds in more seasonal, wetter and warmer climates. Species distribution were significantly but weakly related to functional traits.</p> <p>Main conclusions: Neotropical moist forest regions share similar sets of functional strategies, from which local assembly processes, driven by current climatic conditions, select for species with different functional strategies. We can thus expect functional responses to climate change driven by changes in relative abundances of species already present regionally. Particularly, equatorial forests holding the most conservative traits and large seeds are likely to experience the most severe changes if climate change triggers the proliferation of opportunistic tree species.</p>
Selection on convergent functional traits drives compositional divergence in a tallgrass prairie restoration experiment
<p>1. Plant biodiversity is often partitioned into taxonomic diversity (species composition and abundance), phylogenetic diversity (breadth of evolutionary lineages) and functional diversity (resource‐use strategies or physical traits). Evaluating the effects and interplay of these dimensions can provide insights into how assembly processes drive compositional changes in plant communities. However, teasing apart the effects of different biodiversity dimensions is challenging in observational studies or retrospective analyses.</p> <p>2. To evaluate how plant phylogenetic and trait history shape community establishment and turnover in restoration of a species‐rich North American tallgrass prairie, we conducted an experiment with 127 species planted in assemblages representing three levels of phylogenetic diversity (PD) and two of functional trait diversity (FD), holding starting species richness (SR) fixed. We tested whether PD and FD of planted assemblages predicted species diversity, compositional turnover and selection on functional traits.</p> <p>3. Rank order of initial functional and phylogenetic diversity levels was maintained throughout the experiment, but neither diversity measure correlated positively with species richness by the end of the experiment. Phylogenetic and taxonomic beta diversity increased among all treatments. This increase in compositional beta diversity was associated with directional selection on phylogenetically dispersed functional traits. A set of functional traits associated with competitiveness in tallgrass prairies predicted species' cover for all survey years: stem dry matter content, leaf dry matter content, vegetative height and rhizomatous growth. Although all plots collectively converged on a similar suite of functional traits, functional beta diversity increased among high‐FD plots.</p> <p>4. <em>Synthesis</em>. Neither higher functional nor phylogenetic diversity maintained higher species richness (SR) over time in our study. Although SR was not maintained, higher levels of PD and FD were. Both types of diversity shaped the rate at which plots changed in composition over time, with high diversity treatment plots increasing in beta diversity. Selection for traits convergent across the tree of life drove phylogenetic and compositional divergence among plots. While optimization of site‐specific functional traits may be most important for maintaining higher SR, our work implies that planting higher initial PD and FD may make grassland restorations more adaptable to site conditions that may be difficult to predict.</p>
Floral preferences of mountain bumble bees are constrained by functional traits but flexible through elevation and season
Patterns of resource use by animals can clarify how ecological communities have assembled in the past, how they currently function, and how they are likely to respond to future perturbations. Bumble bees (Hymentoptera: Bombus spp.) and their floral hosts provide a diverse yet tractable system in which to explore resource selection in the context of plant-pollinator networks. Under conditions of resource limitation, the ability of bumble bees species to coexist should depend on dietary niche overlap. In this study, we report patterns and dynamics of floral morphotype preferences in a mountain bumble bee community based on ~13,000 observations of bumble bee floral visits recorded along a 1400 m elevation gradient. We found that bumble bees are highly selective generalists, rarely visiting floral morphotypes at the rates predicted by their relative abundances. Preferences also differed markedly across bumble bee species, and these differences were well-explained by variation in bumble bee tongue length, generating patterns of preference similarity that should be expected to predict competition under conditions of resource limitation. Within species, though, morphotype preferences varied by elevation and season, possibly representing adaptive flexibility in response to the high elevational and seasonal turnover of mountain floral communities. Patterns of resource partitioning among bumble bee communities may determine which species can coexist under the altered distributions of bumble bees and their floral hosts caused by climate and land use change.
Landscape composition and life-history traits influence bat movement and space use: analysis of 30 years of published telemetry data
<p>Using temperate bats, a group of particular conservation concern, we investigated how morphological traits, habitat specialization and environmental variables affect home range sizes and daily foraging movements, using a compilation of 30 years of published bat telemetry data in Northern America and Europe for the period 1988 – 2016.</p> <p>We compiled data on home range size and mean daily distance between roosts and foraging areas at both colony and individual levels from 166 studies of 3,129 radiotracked individuals of 49 bat species. We calculated multi-scale habitat composition and configuration in the surrounding landscapes of all studied roosts. Using mixed models, we examined the effects of habitat availability and spatial arrangement on bat movements, while accounting for body mass, aspect ratio, wing loading and habitat specialization.</p> <p>We found a significant effect of landscape composition on home range size and mean daily distance at both colony and individual levels. On average, home ranges were up to 42% smaller in the most habitat-diversified landscapes while mean daily distances were up to 30% shorter in the most forested landscapes. Bat home range size significantly increased with body mass, wing aspect ratio and wing loading, and decreased with habitat specialization.</p>
Zooplankton recovery from a whole‐lake disturbance: Examining roles of abiotic factors, biotic interactions, and traits
<p>Community assembly following disturbance is a key process in determining the composition and function of the future community. However, replicated studies of community assembly at whole ecosystem scales are rare. Here, we describe a series of whole-lake experiments in which the recovery of zooplankton communities was tracked following an ecosystem-scale disturbance, i.e., application of the piscicide, rotenone. Using a BACI design, fourteen lakes in eastern Washington were studied: seven lakes were treated with rotenone, while seven lakes acted as reference systems. Each lake was monitored up to six months before and one to two years after the rotenone treatments. Zooplankton samples and environmental measurements were collected approximately monthly from each lake. Community responses following disturbance were assessed using metrics of abundance, diversity, and community composition, as well as taxonomic group abundance. Zooplankton recovery was also assessed using species traits related to habitat, feeding mode, trophic level, body size, and life history. In addition to patterns of recovery, potential mechanisms were explored relating to abiotic conditions, biotic interactions, and traits. There were steep declines in the abundance (average across years: 99%) and diversity (average across years: 75%) of the zooplankton community following rotenone treatment. Although abundance had recovered by the second year of the study, community diversity had not fully recovered after two years. Communities from rotenone lakes appeared to be compositionally recovered within about eight months following disturbance. Cyclopoid copepods were typically the first group to recover, and remained dominant for a few months, whereas cladocerans recovered more slowly, typically within ~6-7 months following rotenone. Calanoid copepods were not fully recovered two years after rotenone treatment. Traits related to body size and feeding mode were associated with the zooplankton communities following rotenone treatment. We failed to observe significant spatial synchrony in recovery patterns of zooplankton across lakes, though we did observe significant synchrony of zooplankton taxonomic groups within lakes. These findings suggest that traits related to ecological function, and to a lesser extent, biotic and abiotic factors, as well as characteristics of the disturbance itself, may be important in helping to understand recovery processes. </p>
Data and code for "Relationships between aboveground plant traits and carbon cycling in tundra plant communities"
<p><strong>Paper</strong></p> <p>See the preprint for more detailed description of the performend analyses <a href="https://doi.org/10.1101/865899">here.</a></p> <p><strong>Description of subdirectories</strong></p> <p>The structure of this repository loosely follows that recommended by <a href="https://doi.org/10.1371/journal.pcbi.1005510">Wilson et al. 2017</a>.</p> <p><em>docs</em></p> <p>Contains data documentation and metadata.</p> <p><em>data</em></p> <p>Holds raw, unedited data</p> <p><em>src</em></p> <p>Contains analysis scripts. The src/new_analyses.R script generates all the figures for this project. The other scripts prepare the data for analysis, and must be run before src/new_analyses.R</p> <p><em>results</em></p> <p>Contains all analysis results, cleaned, analysis-ready data, figures, etc. Some of the figures (such as measurement schematics) have been generated by hand, and are thus not linked to any scripts.</p>
Traits data of naturalized and non-naturalized alien species of four Indonesian Botanic Gardens
<p>The establishment of new botanic gardens in tropical regions highlights a need for weed risk assessment tools suitable for tropical ecosystems. The relevance of plant traits for invasion into tropical rainforests has not been well studied. </p> <p>Working in and around four botanic gardens in Indonesia where 590 alien species have been planted, we estimated the effect of four plant traits, plus time since species introduction, on: a) the naturalization probability and b) abundance (density) of naturalized species in adjacent native tropical rainforests; and c) the distance that naturalized alien plants have spread from the botanic gardens. </p> <p>We found that specific leaf area (SLA) strongly differentiated 23 naturalized from 78 non-naturalized alien species (randomly selected from 577 non-naturalized species) in our study. These trends may indicate that exotics with high SLA benefit from at least two factors when establishing in tropical forests: high growth rates and occupation of forest gaps. We also found that height was unrelated to naturalization probability, but naturalized aliens were having high SLA and were short. </p> <p>Exotic species that were present in the gardens for over 30 years and those with small seeds also had higher probabilities of becoming naturalized, indicating that garden plants can invade the understorey of closed canopy tropical rainforests, especially when invading species are shade-tolerant and have sufficient time to establish.</p> <p>On average, exotic species that were not animal dispersed spread 78 m further into the forests than animal-dispersed species. We did not detect relationships between the measured traits and estimated density of naturalized exotics in the adjacent forests.</p> <p>Synthesis: Traits were able to differentiate exotic species from botanic gardens that naturalized in native forest from those that did not; this is promising for developing trait-based risk assessment in the tropics. To limit the risk of invasion and spread into adjacent native forests, we suggest tropical botanic gardens avoid planting exotic species with fast carbon capture strategies and those that are shade tolerant.</p>
Predicted gene expression in ancestrally diverse populations leads to discovery of susceptibility loci for lifestyle and cardiometabolic traits
<p>Full summary statistics for the publication "Predicted gene expression in ancestrally diverse populations leads to discovery of susceptibility loci for lifestyle and cardiometabolic traits". </p> <p>The files, bmi.UKBBsummary.txt and height.UKBBsummary.txt, contain tissue specific associations with body mass index (BMI) and height respectively. The suffix UKBB450k indicates results from all ~450,000 European ancestry individuals in UK Biobank. The suffix UKBB50k corresponds to results from a subset of 50,000 Europeans in the UK Biobank. The suffix PAGE corresponds to results from ~50,000 individuals in the Population Architecture using Genomics and Epidemiology (PAGE) study. </p> <p>The file PAGE_PrediXcan_associations.txt includes trait~tissue specific GReX associations for 25 traits. The first field specifies the tissue.trait.gene of the association results.</p>
Pitfalls of ignoring trait resolution when drawing conclusions about ecological processes
<p><strong>Aim:</strong> Understanding how ecological communities are assembled remains a grand challenge in ecology with direct implications for charting the future of biodiversity. Trait-based methods have emerged as the leading approach for quantifying functional community structure (convergence, divergence) but their potential for inferring assembly processes rests on accurately measuring functional dissimilarity among community members. Here, we argue that trait resolution (from finest-resolution continuous measurements to coarsest-resolution binary categories) remains a critically overlooked methodological variable, even though categorical classification is known to mask functional variability and inflate functional redundancy among species or individuals.</p> <p><strong>Innovation:</strong> We present the first detailed predictions of trait resolution biases and demonstrate, with simulations, how the distortion of signal strength by increasingly coarse-resolution traits can fundamentally alter functional structure patterns and the interpretation of causative ecological processes (e.g., abiotic filters, biotic interactions). We show that coarser trait data impart different impacts on the signals of divergence and convergence, implying that the role of biotic interactions may be underestimated when using coarser traits. Furthermore, in some systems, coarser traits may overestimate the strength of trait convergence, leading to erroneous support for abiotic processes as the primary drivers of community assembly or change.</p> <p><strong>Main conclusions:</strong> Inferences of assembly processes must account for trait resolution to ensure robust conclusions, especially for broad-scale studies of comparative community assembly and biodiversity change. Despite recent improvements in the collection and availability of trait data, great disparities continue to exist among taxa in the number and availability of continuous traits, which are more difficult to acquire for large numbers of species than coarse categorial assignments. Based on our simulations, we urge the consideration of trait resolution in the design and interpretation of community assembly studies and suggest a suite of practical solutions to address the pitfalls of trait resolution biases.</p>
Fig. 5 in Floristic traits and biogeographic characterization of the Gennargentu massif (Sardinia)
Fig. 5. – Percentages of the chorologic units of the endemic flora of Gennargentu. EMOI = W-Mediterranean insular endemics; ETI = Tyrrhenian insular endemics; ET = Tyrrhenian endemics; ETI-NA = Tyrrhenian insular and N-Africa endemics; ESS = Sardinia and Sicily endemics; ESC = Sardo-Corsican endemics; ESA = Sardinian endemics.
Fig. 2 in Floristic traits and biogeographic characterization of the Gennargentu massif (Sardinia)
Fig. 2. – Life forms percentages, referred to the whole flora. H = hemicryptophytes; C = chamaephytes; G = geophytes; NP = nanophanerophytes; P = phanerophytes; T = therophytes; Hy = hydrophytes.
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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
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.