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115 results for “trait dataset”
Datasets to compute species traits for Neotropical anurans
<p>This dataset has harmonized data for modeling three species traits: phenology, physiology, and acoustic characteristics. The selected variables express intraspecific trait variation across the species' geographic range and provide a deeper understanding of the species-level capacity to deal with climate change. Besides, they supply data to document key, primarily unknown, life-history traits of a highly endangered group of vertebrates in a hyperdiverse region.</p>
The Anatomy of Conspirators: Unveiling Traits using a Comprehensive Twitter Dataset
<p>This repository contains the Twitter dataset used to investigate the traits of 7,394 conspiracy users and 7,394 random users. Both the profile's info and the most recent 3,200 tweets (until Jun 13th, 2022) are provided.</p>
SquamBase 1.0 – a dataset of squamate species traits
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Colorful traits in female birds relate to individual condition, reproductive performance, and male mate preferences: A meta-analytic approach dataset
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Local adaptation and phenotypic plasticity drive leaf trait variation in the California endemic toyon dataset
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Dataset for Ongole at al. - Functional traits predict tree-level phenological strategies in a mesic Indian savanna
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Australia-wide photosynthetic trait dataset
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Datasets and scripts from: Sensory-based quantification of male colour patterns in Trinidadian guppies reveals no support for parallel phenotypic evolution in multivariate trait space
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A specimen-level dataset of functional traits and DNA barcodes for Chinese bees
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Dataset related to article: Differential effect of climate of origin and cultivation climate on structural and biochemical plant traits
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Supplementary datasets for: Polymorphic short tandem repeats make widespread contributions to blood and serum traits
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AVOTREX: A global dataset of extinct birds and their traits (v. 1.0)
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Local adaptation in trait-mediated trophic cascades dataset
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A trait dataset for Taiwan's breeding birds
<p>This database compiled information from a variety of sources on 23 traits for all breeding birds, including 157 resident and 14 summer visiting species, in Taiwan and surrounding islands. The 23 traits include those related to the movement patterns, morphology, geographic distribution, activity patterns, feeding behaviors, habitat use, and breeding behaviors and strategies of the species. The trait information was obtained not only from published literatures and datasets, but also from unpublished banding records and specimen measurements. The database also contains derived traits, such as elevation and temperature boundaries of species distribution ranges in Taiwan. In addition, structured information on nest characters, which is seldom complied in trait databases, has be made available, for the first time, for the breeding birds in Taiwan. Therefore, so far the most comprehensive trait information provided by this database will allow trait-based research and applications in diverse topics and thus enhance our understanding of the patterns and dynamics of breeding bird diversity and its functions in Taiwan.</p>
Dataset - A complex network of additive and epistatic quantitative trait loci underlies natural variation of Arabidopsis thaliana quantitative disease resistance to Ralstonia solanacearum under heat stress
<p>Plant immunity is often negatively impacted by heat stress. However, the underlying molecular mechanisms remain poorly characterized. Based on a genome-wide association mapping approach, this study aims to identify in <em>Arabidopsis thaliana</em> the genetic bases of robust resistance mechanisms to the devastating pathogen<em> Ralstonia solanacearum</em> under heat stress. A local mapping population was phenotyped against the <em>R. solanacearum</em> GMI1000 strain at 27 and 30 °C. To obtain a precise description of the genetic architecture underlying natural variation of quantitative disease resistance (QDR), we applied a genome-wide local score analysis. Alongside an extensive genetic variation found in this local population at both temperatures, we observed a playful dynamics of quantitative trait loci along the infection stages. In addition, a complex genetic network of interacting loci could be detected at 30 °C. As a first step to investigate the underlying molecular mechanisms, the atypical meiotic cyclin <em>SOLO DANCERS</em> gene was validated by a reverse genetic approach as involved in QDR to <em>R. solanacearum </em>at 30 °C. In the context of climate change, the complex genetic architecture underlying QDR under heat stress in a local mapping population revealed candidate genes with diverse molecular functions.</p>
Palma et al 2021 Plant functional traits reflect different dimensions of species invasiveness. Ecology. DATASET
<p>Dataset used in publication <em>Palma et al 2021 Plant functional traits reflect different dimensions of species invasiveness. Ecology.</em> It includes:</p> <p>(1) records of Vegetative height and Specific leaf area for 82 exotic species measured in to Victoria, Australia. The location where the plant samples were collected is also described. See tab 'Trait_field_collection'.</p> <p>(2) traits and other variables collected from the literature, including Seed mass, Longevity, Reproduction type, Seed morphology, Dispersion vector, Likely introduction pathway, Management. See tab 'Traits_literature'.</p> <p> </p>
Data from: Incomplete datasets obscure associations between traits affecting dispersal ability and geographic range size of reef fishes in the Tropical Eastern Pacific
Dispersal is thought to be an important process determining range size, especially for species in highly spatially structured habitats, such as tropical reef fishes. Despite intensive research efforts, there is conflicting evidence about the role of dispersal on determining range size. We hypothesize that traits related to dispersal drive range sizes, but that complete and comprehensive datasets are essential for detecting relationships between species' dispersal ability and range size. We investigate the roles of six traits affecting several stages of dispersal (adult mobility, spawning mode, pelagic larval duration (PLD), body size, aggregation behaviour and circadian activity), in explaining range size variation of reef fishes in the Tropical Eastern Pacific (TEP). All traits, except for PLD (148 species), had data for all 497 species in the region. Using a series of models, we investigated which traits were associated with large range sizes, when analysing all TEP species or only species with PLD data. Furthermore, using null models, we analysed whether the PLD-subset is representative of the regional species pool. Several traits affecting dispersal ability were strongly associated with range size, although these relationships could not be detected when using the PLD-data subset. Pelagic spawners (allowing for passive egg dispersal) had on average 56% larger range sizes than non-pelagic spawners. Species with medium or high adult mobility had on average a 25% or 33% larger range, respectively, than species with low mobility. Null models showed that the PLD-subset was non-representative of the regional species pool, explaining why model outcomes using the PLD-subset differed from the ones based on the complete dataset. Our results show that in the TEP, traits affecting dispersal ability are important in explaining range size variation. Using a regionally complete dataset was crucial for detecting the theoretically expected, but so far empirically unresolved, relationship between dispersal and range size.
Data from: Establishing macroecological trait datasets: digitalization, extrapolation, and validation of diet preferences in terrestrial mammals worldwide
Ecological trait data are essential for understanding the broad-scale distribution of biodiversity and its response to global change. For animals, diet represents a fundamental aspect of species' evolutionary adaptations, ecological and functional roles, and trophic interactions. However, the importance of diet for macroevolutionary and macroecological dynamics remains little explored, partly because of the lack of comprehensive trait datasets. We compiled and evaluated a comprehensive global dataset of diet preferences of mammals ("MammalDIET"). Diet information was digitized from two global and cladewide data sources and errors of data entry by multiple data recorders were assessed. We then developed a hierarchical extrapolation procedure to fill-in diet information for species with missing information. Missing data were extrapolated with information from other taxonomic levels (genus, other species within the same genus, or family) and this extrapolation was subsequently validated both internally (with a jack-knife approach applied to the compiled species-level diet data) and externally (using independent species-level diet information from a comprehensive continentwide data source). Finally, we grouped mammal species into trophic levels and dietary guilds, and their species richness as well as their proportion of total richness were mapped at a global scale for those diet categories with good validation results. The success rate of correctly digitizing data was 94%, indicating that the consistency in data entry among multiple recorders was high. Data sources provided species-level diet information for a total of 2033 species (38% of all 5364 terrestrial mammal species, based on the IUCN taxonomy). For the remaining 3331 species, diet information was mostly extrapolated from genus-level diet information (48% of all terrestrial mammal species), and only rarely from other species within the same genus (6%) or from family level (8%). Internal and external validation showed that: (1) extrapolations were most reliable for primary food items; (2) several diet categories ("Animal," "Mammal," "Invertebrate," "Plant," "Seed," "Fruit," and "Leaf") had high proportions of correctly predicted diet ranks; and (3) the potential of correctly extrapolating specific diet categories varied both within and among clades. Global maps of species richness and proportion showed congruence among trophic levels, but also substantial discrepancies between dietary guilds. MammalDIET provides a comprehensive, unique and freely available dataset on diet preferences for all terrestrial mammals worldwide. It enables broad-scale analyses for specific trophic levels and dietary guilds, and a first assessment of trait conservatism in mammalian diet preferences at a global scale. The digitalization, extrapolation and validation procedures could be transferable to other trait data and taxa.
Finding Relationships between Socio-technical Aspects and Personality Traits by Mining Developer E-mails - Dataset
<p>Building on the work done by Gonzalez-Barahona et al. [1] we used the data of the Eclipse project available at [2], with information from the following repositories: source code management (git), issue tracking (Bugzilla), mailing lists (archived<br /> in mbox format), and code review (Gerrit). From the dumps that are provided by Metrics Grimoire, the databases were restored and the datasets used in the experimental stage were built.<br /> Since we are interested in identifying relationships between social and technical aspects in the evolution of FLOSS projects, the source code repository and the mailing lists are the most relevant data for the purpose of this work. Specifically, we used the data of the Eclipse Platform subproject, which in turn is divided into the following components: Ant - Eclipse/Ant integration, Workspace (Team, CVS,<br /> Compare, Resources) - Platform resource management, Debug - Generic execution debug framework, Releng - Release Engineering, Search - Integrated search facility, SWT - Standard Widget Toolkit, Text - Text editor framework and UI - Platform user interface, runtime and help components.</p>
Dataset from the Am J Bot 2016 103(9) paper: "Disentangling plasticity of serotiny, a key adaptive trait in a Mediterranean conifer"
<p>Raw data from the American Journal of Botany paper: "Disentangling plasticity of serotiny, a key adaptive trait in a Mediterranean conifer" Am J Bot. 2016 Sep;103(9):1582-91. doi: 10.3732/ajb.1600199</p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.