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5,828 results for “Traits”
Data from: Tree functional traits across Caribbean island dry forests are remarkably similar
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Selection on convergent functional traits drives compositional divergence in a tallgrass prairie restoration experiment
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Data from: Leaf functional traits predict timing of nutrient resorption and carbon depletion in deciduous subarctic plants
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Data from: Leaf metabolic traits reveal hidden dimensions of plant form and function
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The evolutionary loss of paternal care is associated with shifts in female life history traits
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Inferring the evolutionary model of community-structuring traits with convolutional kitchen sinks: Code and data
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Data from: Aridity drives coordinated trait shifts but not decreased trait variance across the geographic range of eight Australian trees
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A migratory sparrow has personality in winter that is independent of other traits
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Impact of sediment bioturbation on microphytobenthic primary producers: importance of macrobenthic functional traits
Microphytobenthos (MPB) is one of the most important primary producers in coastal and estuarine ecosystems, where it plays a substantial role in many ecological functions. While the influence of several environmental factors on MPB biomass and productivity is well documented, the effects of macrofaunal bioturbation remain poorly assessed. The purpose of this study was to experimentally quantify the influence of sediment bioturbation processes (i.e., sediment reworking and bioirrigation) on biogeochemical fluxes across the sediment–water interface and MPB biomass and photosynthetic capacities. Two infaunal deposit feeders (the polychaete Hediste diversicolor and the bivalve Scrobicularia plana) exhibiting contrasting bioturbation modes and rates were studied as model organisms. They differently affected MPB biomass and photosynthetic performance. Hence, through an intense bioirrigation activity and the stimulation of nutrient fluxes (NH4+, NOx, PO42- and dSi) at the sediment surface, H. diversicolor enhanced MPB growth, which seemed to compensate for its direct consumption. Conversely, high sediment reworking rates generated by S. plana, associated with an extensive grazing pressure, drastically limited the development of MPB at the sediment surface. The negative impact of bivalves on MPB biomass increased with increasing density, while there was no significant relationship with polychaete density, possibly due to trophic competition. This study demonstrates that macrofaunal bioturbation is a key factor regulating MPB dynamics, with complex interactions that can result in a net either positive or negative effect depending on dominant species functional traits and abundances. This may, in particular, explain the strong spatial and temporal variability of the microbenthic primary productivity in intertidal mudflats.
Data for a global meta-analysis of passive experimental warming effects on plant traits and community properties
This database contains the data used in a global meta-analysis of warming effects on plants. L0 data are available upon request; they include the raw data from 126 warming experiments. The L1 data are the result of merged L0 data and are cleaned for typos and are standardized names. L1 data contain plant trait and community property measurements in both warmed and ambient conditions. L2 data contain the effect sizes of warming for each study. These data came from 126 warming experiments across the globe.
Measurement of Plant Traits on Hylocomium splendens Samples Collected at Sites within the Bonanza Creek LTER Regional Site Network in Interior Alaska, 2019
This dataset contains measurements of plant traits on Hylocomium splendens species collected at a subset of sites from the Regional Site Network (n = 26). The two species, Hylocomium splendens and Vaccinium uliginosum, are the two most ubiquitous nonvascular and vascular species at these sites. The traits measured on these species relate to the fire ecology of each species. Traits measured for Hylocomium splendens include: length, width, aspect ratio (width/length), specific leaf area (SLA) and moisture content % at maximum water retention capacity. There is a corresponding dataset with trait data for Vaccinium uliginosum.
Measurement of Plant Traits on Vaccinium uliginosum Samples Collected at Sites within the Bonanza Creek LTER Regional Site Network in Interior Alaska, 2019
This dataset contains measurements of plant traits on Vaccinium uliginosum species collected at a subset of sites from the Regional Site Network (n = 26). The two species, Hylocomium splendens and Vaccinium uliginosum, are the two most ubiquitous nonvascular and vascular species at these sites. The traits measured on these species relate to the fire ecology of each species. Traits measured for Vaccinium uliginosum include: rhizome depth, number of rhizomes, plant height, moisture content % of aboveground tissues, aboveground tissue ratios and dry mass of leaves. There is a corresponding dataset with trait data for Hylocomium splendens.
Trait coordination and environmental filters shape functional trait distributions of forest understory herbs
We test the importance of environmental filtering and trait covariance for structuring the functional traits of understory herbaceous communities.
Macroinvertebrate trait, abundance and site quality data from the Green Lakes Valley, 2018
This research was conducted to get a sense of the current spatial distribution of benthic macroinvertebrates among various aquatic habitats throughout the Green Lakes Valley. Benthic macroinvertebrates are small organisms that lack a backbone (invertebrate), live on the bottom (benthic), and are visible with the naked eye (macro). To estimate the community structure of benthic macroinvertebrates communities, 53 benthic macroinvertebrate samples were collected over the summer of 2018 from three alpine lakes and two streams in the Green Lakes Valley, CO at multiple points throughout the season. Benthic macroinvertebrates were sampled from the shoreline, inlet (inflow of water), and outlet (outflow of water) of each sampled lake, alongside estimates for habitat quality like surrounding vegetation, temperature (C°), rock volume (L), nitrate (mg/L,) pH, and dissolved oxygen saturation. The methods from this survey are broadly consistent with historic surveys ranging from 1960 to 1987 that have also sought to characterize aquatic invertebrate community composition within the Green Lakes Valley (Bushnell et al. 1987 The Great Basin Naturalist).
Species composition and plant functional traits on Hog and Metompkin Islands, VA 2016-2017
Physical characteristics (soil salinity, elevation, distance from shoreline) and biological parameters (species composition, cover, biomass, and functional traits) were measured for plants on Hog Island (Northampton Co. VA) and Metompkin Island (Accomack County, VA). Physical parameters were measured during 2016. Plant biomass, species composition, percent cover, and functional traits were measured in 2017. Data Table 1: Environmental and geographic data on Hog and Metompkin Islands, VA 2016 Data Table 2: Species composition and aboveground plant functional traits on Hog and Metompkin Islands, VA 2017 Data Table 3: Vegetative biomass on Hog and Metompkin Islands, VA 2017 Data Table 4: Plot-level root functional traits on Hog and Metompkin Islands, VA 2017 Data Table 5: Latitude-longitude coordinates of plots on Hog and Metompkin Islands, VA 2016-2017
Studies of NH4+ and NO3- uptake ability of subalpine plants and resource-use strategy identified by their functional traits
<p>Data for the preprint "Studies of NH4+ and NO3- uptake ability of subalpine plants and resource-use strategy identified by their functional traits.”, by Legay N. , Grassein F., Arnoldi C., Segura R., Laîné P., Lavorel S., Clément J.C.</p>
Annotated genes harboring major effect markers (R2 ≥ 15%). Highlighted in green are genes annotated from Rhodes et al. 2014,2017, in orange genes annotated as similar to Peroxidase, in yellow new annotations from sorghum genome in Atlas. In the first three columns start and stop position on the sorghum genome and transcript name, followed by the nearest marker name and the distance of the gene from the nearest marker, then a column where are shown the GWAS methods and target traits for which the linked SNP was significant, the last column shows the category of the genes.
<p><strong>We conducted a comprehensive genomics study to map genomic loci determining the production of antioxidants in sorghum grains. Encouraging results were obtained and published in peer-reviewed article with impact factor (https://doi.org/10.1371/journal.pone.0225979). Annotated genes harboring major effect markers (R<sup>2</sup> ≥ 15%) were identified and will be of worldwide interest. </strong></p>
Stable psychological traits predict perceived stress related to the COVID-19 outbreak
<p>This repository contains the raw dataset associated to the scientific article "Stable psychological traits predict psychological perceived stress to COVID-19 outbreak”, by L. Flesia, V. Fietta, B. Segatto, M. Monaro. Data are contained in the excel file and organized as follows:</p> <p>- the entire dataset used by the authors to perform statistical analysis</p> <p>- the training set used by the authors to train and validate ML models</p> <p>- the test set used by the authors to test the ML models</p> <p>The "Legend" file contains the description of each variable in the excel file.</p> <p>The step by step instructions to replicate the results of ML classification models, which are reported in the paper, including two .arff files containing the training and test set od data that can be directly run in WEKA software 3.9.</p> <p>The "COVID-19 QUESTIONNAIRE" file contains the English version of the questions administered to participants.</p>
Data from: A comparative test for divergent adaptation: inferring speciation drivers from functional trait divergence
<p>Ecological differentiation between lineages is widely considered to be an important driver of speciation. However, support for this hypothesis is largely derived from the detailed study of a select set of model species pairs. Mounting evidence from non-model taxa, meanwhile, suggests that speciation often occurs with minimal differentiation in ecomorphology, calling into question the true contribution of divergent selection to species richness in nature. To better understand divergent adaptation and its role in speciation generally, researchers require a comparative approach that can distinguish its signature from alternative processes such as drift and parallel selection in datasets containing many species pairs. Here we introduce the first statistical models of divergent adaptation in the continuous traits of paired lineages. In these models, ecomorphological characters diverge as two lineages adapt toward alternative phenotypic optima following their departure from a common ancestor. The absolute distance between optima measures the extent of divergent selection and provides a basis for interpretation. We encode the models in the new R-package <i>diverge</i> and extend them to allow the distance between optima to vary across continuous and categorical variables. We test model performance using simulation and demonstrate model application using published datasets of trait divergence in birds and mammals. Our framework provides the first explicit test for the signature of divergent selection in trait divergence datasets, and it will enable empiricists from a wide range of fields to more fully investigate the dynamics of divergent adaptation as well as its prevalence in nature beyond just our best-studied model systems.</p>
Data from: The effect of root-associated microbes on plant growth and chemical defence traits across two contrasted elevations,
<p>1. Ecotypic differences in plant growth and anti-herbivore defence phenotypes are determined by the complex interactions between the abiotic and the biotic environment.</p> <p>2. Root-associated microbes (RAMs) are pervasive in nature, vary over climatic gradients, and have been shown to influence the expression of multiple plant functional traits related to biomass accumulation and biotic interactions. We addressed how variation in climatic conditions between lowland and sub-alpine habitats in the Alps and RAMs can independently or interactively affect plant growth and anti-herbivore defence trait expression.</p> <p>3. To address the contribution of climate and RAMs on growth and chemical defences of high- and low-elevation Plantago major ecotypes, we performed a full-factorial reciprocal transplant field experiment at two elevations. We coupled it with plant functional trait measurements and metabolomics analyses.</p> <p>4. We found that local growing climatic conditions mostly influenced how the ecotypes grew, but we also found that the high- and low-elevation ecotypes improved biomass accumulation if in the presence of their own-elevation RAMs. Second, we found that while chemical defence expression was affected by climate, they were also more highly expressed when plants were inoculated with low elevation RAMs.</p> <p>5. Synthesis – Our research demonstrated that RAMs from contrasted elevations impact how plants grow or synthesize toxic secondary metabolites. At low elevation, where biotic interactions are stronger, RAMs enhance plant biomass accumulation and the production of toxic secondary metabolites.</p>
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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.