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115 results for “trait dataset”
Dataset for Quantitative Trait Loci Associated with Lodging in Dry Field Peas. Data for PR Population (Carerra x Striker).
<p>Dataset for Quantitative Trait Loci Associated with Lodging in Dry Field Peas. Data for PR Population (Carerra x Striker). Here is data on lodging, height, stem diameter, side branch diameter, and epicotyl diameter for both site years with the PR population.</p>
Dataset for Quantitative Trait Loci Associated with Lodging, Stem Strength, Yield, and Other Important Agronomic Traits in Dry Field Peas, All SNP markers
<p>Dataset for Quantitative Trait Loci Associated with Lodging, Stem Strength, Yield, and Other Important Agronomic Traits in Dry Field Peas. All SNP markers were included in the dataset. U designates a missing datapoint. The data was not inputed.</p>
Dataset for Quantitative Trait Loci Associated with Lodging, Stem Strength, Yield, and Other Important Agronomic Traits in Dry Field Peas with data for 330 markers
<p>Dataset for Quantitative Trait Loci Associated with Lodging, Stem Strength, Yield, and Other Important Agronomic Traits in Dry Field Peas with data for 330 markers. This dataset is associated with the dissertation entitled, Quantitative Trait Loci Associated with Lodging, Stem Strength, Yield, and Other Important Agronomic Traits in Dry Field Peas.</p>
Global Invasive and Alien Traits and Records (GIATAR) dataset
<p>Monitoring and managing the global spread of invasive and alien species requires accurate spatiotemporal records of species presence and information about the biological characteristics of species of interest including life cycle information, biotic and abiotic constraints and pathways of spread. The Global Invasive and Alien Traits And Records (GIATAR) dataset provides consolidated dated records of invasive and alien presence at the country-scale combined with a suite of biological information about pests of interest in a standardized, machine-readable format. We provide dated presence records for 46,666 alien taxa in 249 countries constituting 827,300 country-taxon pairs, joined with additional biological information for thousands of taxa. GIATAR is designed to be quickly updateable with future data and easy to integrate into ongoing research on global patterns of alien species movement using scripts provided to query and analyze data. </p> <p>This publication includes:</p> <ul> <li>GIATAR dataset files (dataset)</li> <li>Functions in Python and R to join tables and query data (query_functions)</li> <li>Tutorials and example queries in Python and R (tutorials)</li> </ul> <p>For more information, please refer to the publication:</p> <div> <div>Saffer, Ariel, Thom Worm, Yu Takeuchi, and Ross Meentemeyer. “GIATAR: A Spatio-Temporal Dataset of Global Invasive and Alien Species and Their Traits.” <em>Scientific Data</em> 11, no. 1 (September 11, 2024): 991. <a href="https://doi.org/10.1038/s41597-024-03824-w">https://doi.org/10.1038/s41597-024-03824-w</a>.</div> <div> </div> <div>Changes in this version (September 15, 2025):</div> <div> <ul> <li>Latest records as of September 8, 2025</li> </ul> </div> <div>For continuous updates to code, please refer to our Github repository: https://github.com/ncsu-landscape-dynamics/GIATAR-dataset</div> </div>
Dataset for: Heat wave-induced microbial thermal trait adaptation and its reversal in the Subarctic
<p>Climate change predictions suggest that arctic and subarctic ecosystems will be particularly affected by rising temperatures and extreme weather events, including severe heat waves. Temperature is one of the most important environmental factors controlling and regulating microbial decomposition in soils; therefore, it is critical to understand its impact on soil microorganisms and their feedback to climate warming. We conducted a warming experiment in a subarctic birch forest in North Sweden to test the effects of summer heat waves on the thermal trait distributions that define the temperature dependencies for microbial growth and respiration. We also determined the microbial temperature dependences 10 and 12 months after the heat wave simulation had ended to investigate the persistence of the thermal trait shifts. As a result of warming, the bacterial growth temperature dependence shifted to become warm-adapted, with a similar trend for fungal growth. For respiration, there was no shift in the temperature dependence. The shifts in thermal traits were not accompanied by changes in α- or β-diversity of the microbial community. Warming increased the fungal-to-bacterial growth ratio by 33% and decreased the microbial carbon use efficiency (CUE) by 35%, and both these effects were caused by the reduction in moisture the warming treatments caused, while there was no evidence that substrate depletion had altered microbial processes. The warm-shifted bacterial thermal traits were partially restored within one winter but only fully recovered to match ambient conditions after one year. To conclude, summer heat waves in the Subarctic resulted in (i) shifts in microbial thermal trait distributions; (ii) lower microbial process rates caused by decreased moisture, not substrate depletion; and (iii) no detectable link between the microbial thermal trait shifts and community composition changes. </p>
Dataset from: Parapatric and sympatric adaptation of Setaria viridis populations in Japan to heterogeneous coastal habitats via trait divergence of plant form, salt spray tolerance and flowering time
<p>This study aimed to determine how coastal variants of<em> </em>plants arise from local populations under natural selection by studying variations in phenotypic variations and survival of <em>Setaria viridis</em> populations inhabiting mosaic environments of two seashores in Japan. <em>S.viridis</em> populations comprised five coastal variants showing significantly higher salt spray tolerance than the inland variant: ST, short and tolerant (common variant); TM, tall and mid-tolerant (Inland Sea); TT, tall and tolerant; PT, prostrate and tolerant; L, extremely late flowering; I, inland and susceptible variants. These variations imply that maritime plants first acquired salt spray tolerance for survival, after which compact plants evolved in habitats where strong winds caused damage from salt spray. Results indicate that diverse intensities of salt spray and winds as well as summer drought generated various coastal variations in parapatry and sympatry.</p>
Unprocessed PROSAIL-generated datasets of plant functional traits with associated spectra
Open the record for dataset details and reuse information.
Dataset of Rapid adaptive responses of rosette-type macrophyte Vallisneria natans juveniles to varying water depths: The role of leaf trait plasticity
<p>Rosette-type submerged macrophytes are widely distributed across a range of water depths in shallow lakes and play a key role in maintaining ecosystem structures and functions. However, little is known about the rapid adaptive responses of such macrophytes to variations in water depth, especially at the juvenile stage. Here, we conducted a short term <i>in situ</i> mesocosm experiment, in which the juveniles of <i>Vallisneria natans</i> were exposed to a water depth gradient ranging from 20 to 360 cm. Twenty-two leaf-related traits were examined after four weeks of growth in a shallow lake. Most (18) traits of <i>V. natans</i> generally showed high plasticity in relation to water depth. Specifically, juveniles allocated more biomass to leaves, and had higher specific leaf area, leaf length to width ratio, chlorophyll content, and carotenoids content in deep waters, displaying trait syndrome associated with high resource acquisition. In contrast, <i>V. natans</i> juveniles in shallow waters had higher leaf dry matter content, leaf soluble carbohydrate content, carotenoids per unit chlorophyll, and peroxidase activity, pertaining to resource conservation. Notably, underwater light intensity was found to be the key factor explaining the trait plasticity along the water depth gradient, and 1.30 mol photons m<sup>–2</sup> d<sup>–1 </sup>(at 270 cm) could be the optimal irradience level based on the total biomass of <i>V. natans</i> juveniles. The present study highlights the significance of leaf trait plasticity for rosette-type macrophytes in response to variations in water depth, and sheds new light on the differences between trade-offs in deep- and shallow-water areas.</p>
Mangrove plant traits dataset V1
<p>Dataset with 2364 records of traits of "true mangroves" plant species</p>
Training dataset for marmo3Dpose, related to the paper entitled "Deciphering social traits and pathophysiological conditions from natural behaviors in common marmosets"
<p>The training dataset for marmosets' 3D pose estimation developed for Kaneko and Matsumoto et al. 2024: Deciphering social traits and pathophysiological conditions from natural behaviors in common marmosets.</p> <p>Please visit</p> <p>Github: <a href="https://github.com/PrimatoModelling/marmo3Dpose">https://github.com/PrimatoModelling/marmo3Dpose</a></p> <p>Journal article: <a href="https://www.cell.com/current-biology/fulltext/S0960-9822(24)00676-6">https://www.cell.com/current-biology/fulltext/S0960-9822(24)00676-6</a></p>
Experimental data from long-term elevated pCO2 exposure in Pacific herring. Datasets include measurements of enviromental treatment conditions, growth and developmental traits, and mortality data from a disease challenge.
<p>This study evaluated the effects of ocean acidification on the health, survival, fitness, and disease susceptibility of early life stage Pacific herring. Wild larvae were reared from hatching under three pCO2 treatments [low (~650 μatm), intermediate (~1,500 μatm), and high (~3,000 μatm)] to determine the effects of elevated pCO2 on larval growth, yolk consumption, and foraging capabilities and to evaluate how chronic exposure to elevated pCO2 affects long-term growth and maximum swimming speed. After prolonged exposure (98 d), we tested how elevated pCO2 experienced during development altered the susceptibility of juvenile Pacific herring to VHS following water-borne exposure to VHSV. This directory includes datasets for: 1) daily pH and temperature measurements from replicate rearing tanks; 2) carbon chemistry measurements from discrete seawater samples; 3) morphometric and feeding data for larval herring (1 - 16 days post hatch); 4) standard length measurements from larval and juvenile samples (1 - 98 days post hatch); 5) All dry mass measurements from larval and juvenile samples (1 - 98 days post hatch); 6) survival statistics for whole experiment ( 1- 98 days post hatch); 7) maximum swim speed measurements on juvenile herring; 8) disease challenge mortality and viral titer data; 8) a README file containing information on the dataset. </p>
Cellular morphological trait dataset for extant coccolithophores from the Atlantic Ocean
<p>The <strong>Cellular morphological trait dataset for extant coccolithophores from the Atlantic Ocean </strong>is a reference dataset for morphological traits from extant coccolithophores (calcifying marine plankton group), including cell-specific data for coccosphere and cell size, coccolith size, number of coccoliths per cell, and morphometric-based cellular calcite estimates. The dataset also includes ancillary information about the sample and taxonomic identification.</p> <p>The dataset contains observations from 1074 individual coccolithophore cells representing 61 species from 25 genera. Samples were obtained during the Atlantic Meridional Transect (AMT) 14 cruise that sailed between the Faulkland Islands and the UK in 2004. Measurements were taken from scanning electron microscopy (SEM) images, which are archived on Zenodo at doi: 10.5281/zenodo.10571819. A description of the parameters included in the dataset can be found in the file "2. Descriptor- Cellular morphological trait dataset for extant coccolithophores from the Atlantic Ocean".</p> <p>Three additional supporting files are included with this dataset:</p> <ul> <li>"3. Coccolith size, coccolith calcite and cellular calcite in collapsed Umbellosphaera coccospheres" contains measurements of coccolith size (CL) and associated coccolith calcite (PIC) for 20 collapsed <em>Umbellosphaera</em> coccospheres. This data was used to derive an adjustment to coccolith length applied to coccolith length measured on intact <em>Umbellosphaera</em> coccosphere measurements to account for the wide variety of coccolith sizes present on individual coccospheres.</li> <li>"4. Sensitivity of cellular calcite contents to uncertainties in coccolith size, number of coccoliths per cell and shape factors" contains re-calculations of cellular calcite data using uncertainties of ±5-30% on coccolith size (CL) and species-specific shape factor (Ks) and variations of ±2 coccoliths and ±5 coccoliths for the number of coccoliths per cell (CN) for coccospheres of <em>Gephyrocapsa mullerae</em>, <em>Umbilicosphaera hulburtiana</em>, <em>Syracosphaera </em>spp., and <em>Discosphaera</em> <em>tubifera.</em></li> <li>"5. Partial coccolith length and coccolith length measurements" contains measurements used to calculate the uncertainty in coccolith length introduced when partial coccolith length is measured.</li> </ul> <p>Extensive description of the methodology related to this dataset can be found in the associated manuscript: Rosie M. Sheward, Alex J. Poulton, Jeremy R. Young, Joost de Vries, Fanny M. Monteiro, Jens O. Herrle. “Cellular morphological trait dataset for extant coccolithophores from the Atlantic Ocean” in review with <em>Scientific Data</em>.</p> <p>Correspondence should be directed to:</p> <p>Rosie M. Sheward, sheward@em.uni-frankfurt.de</p>
Dataset for: Trait-mediated speciation and human-driven extinctions in proboscideans revealed by unsupervised Bayesian neural networks
<p>This repository contains the output of all birth-death neural network simulations and the empirical analyses of Proboscidean diversification. For details see the Readme of the individual directories.</p>
Datasets associated with Dale et al. 2022 Diversification and trait evolution in New Zealand woody lineages across changing biomes
<p>Biome occupancy and trait datasets for New Zealand <em>Melicytus, Myrsine</em>, and <em>Pseudopanax</em> species used in Dale et al. 2022 Diversification and trait evolution in New Zealand woody lineages across changing biomes (https://doi.org/10.1080/03036758.2022.2108071). The datasets are biomes occupied, Specific Leaf Area, stem density, leaf nutrient content (N, P, K), and cold sensitivity. "dataset info.txt" outlines the variable names and their units.</p>
Fig. 3 in A species-level trait dataset of bats in Europe and beyond
Fig. 3 Number of trait categories (genetic composition, physiology, morphology, acoustic signature, climatic associations, foraging habitat, roost type, diet, spatial behaviour, life history, pathogens, phenology, and distribution) provided at the country level across all species. For sake of clarity and for highlighting gaps in geographic coverage, we did not consider in this map traits provided across a given species' range or at regional level. Details on each trait category are provided in Supplementary Material 4.
Fig. 1 in A species-level trait dataset of bats in Europe and beyond
Fig. 1 Number of peer-reviewed studies per year (a) and per geographic area (b) that implemented a traitbased approach to study bats15–91. Data were extracted from a systematic literature search conducted in Web of Science and Google Scholar on the 15th of November 2021 using the following search string terms: (Bat* OR Chiroptera) AND ("trait-base*" OR "trait diversity" OR "functional diversity" OR trait*). The black solid line represents the LOESS (locally weighted scatterplot smoothing) fit to the observed relationship. See raw data and details in Supplementary Material 1.
Dataset for: Temporal trajectories of plant functional traits in mediterranean grasslands under different grazing regimes
<p>The excel file contains three spreadsheets:</p> <ol> <li>the environmental and temporal information about the plot (sample)</li> <li>the plant functional traits of the species (traits)</li> <li>the species composition of the plant communities (species).</li> </ol> <p>These data have been used for the statistical analysis of the manuscript Nour et al., 2024 on Applied Vegetation Science. For more information see the manuscript "Temporal trajectories of plant functional traits in Mediterranean grasslands under different grazing regimes" (Nour et al., 2024).</p>
Data from: Integrating three comprehensive datasets shows that mitochondrial DNA variation is linked to species traits and paleogeographic events in European butterflies.
Understanding the dynamics of biodiversity, including the spatial distribution of genetic diversity, is critical for predicting responses to environmental changes, as well as for effective conservation measures. This task requires tracking changes in biodiversity at large spatial scales and correlating with species functional traits. We provide three comprehensive resources to understand the determinants for mitochondrial DNA differentiation represented by i) 15,609 COI sequences and ii) 14 traits belonging to 307 butterfly species occurring in Western-Central Europe and iii) the first multi-locus phylogenetic tree of all European butterfly species. By applying phylogenetic regressions we show that mitochondrial DNA spatial differentiation (as measured with Gst, G'st, D and Dst) is negatively correlated with species traits determining dispersal capability and colonization ability. Thanks to the high spatial resolution of the COI data, we also provide the first zoogeographic regionalization maps based on intraspecific genetic variation. The overall pattern obtained by averaging the spatial differentiation of all Western-Central European butterflies shows that the paradigm of long-term glacial isolation followed by rapid pulses of post-glacial expansion has been a pervasive phenomenon in European butterflies. The results and the extensive datasets we provide here constitute the basis for genetically-informed conservation plans for a charismatic group in a continent where flying insects are under alarming decline.
Dataset from: Functional traits explain both seedling and adult plant spatial patterns in gypsum annual species
<p><span>1. </span><span>Ecological processes such as seed dispersal or plant–plant interactions and environmental constraints such as climate or soil heterogeneity are known to influence establishment, and thus the spatial patterns of plant communities and populations. In this study, we hypothesized that key functional traits such as the specific leaf area (SLA), reproductive ratio (reproductive/vegetative biomass), seed mass, and maximum plant height would influence the spatial patterns of individual species in annual, gypsophilous plant communities, and that these effects would be modulated by both the soil surface structure (biocrust) and climate (precipitation) conditions. </span></p> <p><span>2. </span><span>We mapped the spatial patterns of all plants found in six 1 </span><span>x</span><span> 1 m plots (more than 1000 individuals per plot) in both the seedling (autumn) and adult stages (spring) under two biocrust experimental conditions (intact vs disturbed biocrust) during two consecutive years which were contrasted in term of precipitation (dry year and wet year). To assess the spatial patterns of seedlings and adults, we fitted four different spatial point pattern models (i.e., Poisson, inhomogeneous Poisson, Poisson cluster, and inhomogeneous Poisson cluster processes) to each of the 242 populations of the 27 most abundant species that had more than 15 individuals per plot.</span></p> <p><span>3. </span><span>Most seedling populations exhibited clustered spatial patterns that persisted in the adult stage, which suggests that short-distance dispersal is an adaptive trait for soil specialists such as gypsophilous plants. One-third of the populations fitted an inhomogeneous model best, but the physical structure of the biocrust was not related to them. More importantly, we found a connection between the functional strategies of species and the spatial distribution of plants. In particular, during the dry year, irrespective of the biocrust conditions, species with a high SLA and high Rep/Veg mainly exhibited clustered spatial patterns, whereas low SLA and low Rep/Veg were associated with random distributions. Species with heavy and light seed masses had random and clustered patterns, respectively. In both the dry and wet years, species with lower maximum heights had clustered patterns, whereas taller species exhibited random patterns. In addition, species with heavier seeds and greater maximum heights had the largest cluster sizes.</span></p> <p><span>4. </span><span>Our results confirm that the spatial patterns of seedlings and adult plants are significantly determined by the functional strategy of each species.</span></p>
Dataset of distribution and trait of small mammals in Mt. Liangshan
<p><span>Secondary and plantation forests are the main alternative forests remaining after the deforestation of primary forests. Understanding the conservation value of secondary and plantation </span><span>forests</span><span> is important for </span><span>biological conservation. To explore the impact of forest conversion on biodiversity, we compared multiple diversity metrics (taxonomic, phylogenetic, and functional diversity) and the community structure of small mammals in the primary, secondary, and plantation forests </span><span>in</span><span> Mt. Liangshan, Sichuan Province, China. The dataset describes the distribution, morphological traits, and other traits of small mammals.</span></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.