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61 results for “trait database”
FIG. 3 in Thermal Traits of Anurans Database for the Southeastern United States (TRAD): A Database of Thermal Trait Values for 40 Anuran Species
FIG. 3. Adult trait completeness, or number of traits with at least one trait value in the literature, varies among and within anuran genera (A) and families (B). Each y-axis is ordered by the group with the highest trait completion to group with the lowest trait completion. Points represent individual species. Boxplots indicate standard delineations of median, 25th, and 75th percentiles, and lines indicate the lesser of largest or smallest values or 1.5 times the interquartile range.
FIG. 2 in Thermal Traits of Anurans Database for the Southeastern United States (TRAD): A Database of Thermal Trait Values for 40 Anuran Species
FIG. 2. Species' thermal trait data, measured as sources with unique species and trait combinations (points), have increased since 1945.
FIG. 1 in Thermal Traits of Anurans Database for the Southeastern United States (TRAD): A Database of Thermal Trait Values for 40 Anuran Species
FIG. 1. Counts of adult thermal trait values found within the literature for 37 species of frogs and toads (anurans) within the southeastern United States. Species Pseudacris brimleyi, Pseudacris nigrita, and Pseudacris ocularis are not shown due to no trait values reported. States indicated in gray in the inset map of the conterminous United States are considered the southeastern United States for this database. Trait Name is ordered based on type of trait: warm colored traits are mass and physiological traits, and cool colored traits are behavioral traits. Physiological traits include critical thermal maximum (CTmax), critical thermal minimum (CTmin), and Tpref (preferred temperature). Behavioral traits include basking temperature (Tbask), foraging temperature limits (Tforage_min and Tforage_max), emergence temperature (Tmerge), and activity. An * indicates a species of conservation concern. Conservation status, as defined by the International Union for the Conservation of Nature Red List, was determined on 15 August 2020 (International Union for Conservation of Nature, 2017).
FIG. 4 in Thermal Traits of Anurans Database for the Southeastern United States (TRAD): A Database of Thermal Trait Values for 40 Anuran Species
FIG. 4. The number of traits with at least one trait value in the literature (trait completeness) increases with range size for adults (A) and for all life stages (B) for 37 anurans native to the southeastern United States. Maximum trait completeness is 9 for adults and 22 for all life stages. Each point represents a species that has at least one trait value in the TRAD database, with the symbol and shade in (B) representing the total number of life stages (egg/embryo, tadpole, metamorph, juvenile, and adults) with trait data.
Coral Trait Database: Coraltraits test snapshot- Feb 24, 2021
<p></p>https://eol-jira.bibalex.org/browse/DATA-1793<p></p>
Coral Trait Database: Coral Traits DwCA
<p></p>https://eol-jira.bibalex.org/browse/DATA-1793<p></p>
LT-Brazil: A database of leaf traits across biomes and vegetation types in Brazil
<p>The LT-Brazil data set contains observations of leaf mass per area, leaf N and P concentration per unit mass, and leaf N:P ratio from native woody species across the Brazilian territory, encompassing information of biome, vegetation, taxonomic data, geographical coordinates, climatic parameters, as well as soil properties. We compiled data from several geographical coordinates in native vegetation distributed across all biomes (i.e., Amazônia, Caatinga, Cerrado, Mata Atlântica, Pampa, and Pantanal) found in Brazil. Our compilation was focused on native woody plants (i.e., trees, shrubs, subshrubs, and lianas), excluding monocots, palm trees, herbs, and hemiparasitic plants. The compiled data set covers <em>c.</em> 9% of woody angiosperm species of Brazil. Unidentified or mixed species were also considered when met our eligibility criteria. Contributions to expand this database can be performed through our repository at GitHub (https://github.com/emariano-git/lt-brazil.git). Major versions of the LT-Brazil data set will also be made available via the TRY Plant Trait Database (https://www.try-db.org).</p>
Data from: Life-history trait database of European reptile species
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Mean Traits Data Compiled for Tree Taxa from BIEN Database for HJA, HFR, BCI, CWT, LUQ, and NWT
Patterns of biodiversity, such as the increase toward the tropics and the peaked curve during ecological succession, are fundamental phenomena for ecology. Such patterns have multiple, interacting causes, but temperature emerges as a dominant factor across organisms from microbes to trees and mammals, and across terrestrial, marine, and freshwater environments. However, there is little consensus on the underlying mechanisms, even as global temperatures increase and the need to predict their effects becomes more pressing. The purpose of this project is to generate and test theory for how temperature impacts biodiversity through its effect on biochemical processes and metabolic rate. A combination of standardized surveys in the field and controlled experiments in the field and laboratory measure diversity of three taxa -- trees, invertebrates, and microbes -- and key biogeochemical processes of decomposition in seven forests distributed along a geographic gradient of increasing temperature from cold temperate to warm tropical. This dataset contains list of all tree taxa from all experimental sites at HJA, HFR, BCI, CWT, LUQ, and NWT was compiled and traits for each were downloaded from BIEN database. Averages for each BIEN trait were calculated using R code below at the family, genus, and species taxonomic level. The "best" average (to the finest taxonomic resolution) was then used. Traits included isotope ratios of carbon and nitrogen, plant height, leaf area, leaf carbon, nitrogen, and phosphorus concentrations, seed mass, specific leaf area, and wood density. This was done by the Enquist Lab (PI, Brian Enquist) from the University of Arizona to measure annual tree growth as part of a macrosystems biodiversity and latitude project supported by the National Science Foundation under Cooperative Agreement DEB#1065836.
Data from: sFDvent: a global trait database for deep-sea hydrothermal-vent fauna
Traits are increasingly being used to quantify global biodiversity patterns, with trait databases growing in size and number, across diverse taxa. Despite growing interest in a trait-based approach to the biodiversity of the deep sea, where the impacts of human activities (including seabed mining) accelerate, there is no single repository for species traits for deep-sea chemosynthesis-based ecosystems, including hydrothermal vents. Using an international, collaborative approach, we have compiled the first global-scale trait database for deep-sea hydrothermal-vent fauna - sFDvent (sDiv-funded trait database for the Functional Diversity of vents). We formed a funded working group to select traits appropriate to: i) capture the performance of vent species and their influence on ecosystem processes, and ii) compare trait-based diversity in different ecosystems. Forty contributors, representing expertise across most known hydrothermal-vent systems and taxa, scored species traits using online collaborative tools and shared workspaces. Here, we typify the sFDvent database, describe our approach, and evaluate its scope. Finally, we compare the sFDvent database to similar databases from shallow-marine and terrestrial ecosystems to highlight how the sFDvent database can inform cross-ecosystem comparisons. We also make the sFDvent database publicly available online by assigning a persistent, unique doi. 646 vent species names, associated location information (33 regions), and scores for 13 traits (in categories: community structure, generalist/specialist, geographic distribution, habitat use, life history, mobility, species associations, symbiont, and trophic structure). Contributor IDs, certainty scores, and references are also provided. Global coverage (grain size: ocean basin), spanning eight ocean basins, including vents on 12 mid-ocean ridges and 6 back-arc spreading centres. sFDvent includes information on deep-sea vent species, and associated taxonomic updates, since they were first discovered in 1977. Time is not recorded. The database will be updated every five years. Deep-sea hydrothermal-vent fauna with species-level identification present or in progress. .csv and MS Excel (.xlsx)
Dataset: Species presence, trait and philogeny database. Data from: Shift from trait convergence to divergence along old field succession. Journal of Vegetation Science.
<p>This dataset was use in the manuscript "Shift from trait convergence to divergence along old field succession" publish at Journal of Vegetation Science. It contains the data of species presence at three different plots and species trait values (SLA, LDMC, height, seed weight and Phylogeny). We show that at the initial stage of succession, there is a scale-invariant pattern of trait convergence. On the contrary, in the late and intermediate stages of succession we observed that trait divergence became frequent at smaller grains and extents. The trend along the chronosequence is consistent with the theoretical hypothesis that predicts a shift from convergence to divergence along succession.</p>
AusInverTraits: a curated trait database for Australian invertebrates
<p>The AusInverTraits database is a curated and standardised database of traits data for Australia's invertebrate taxa gathered from primary sources. It is developed in collaboration with <a href="https://austraits.org/">AusTraits</a>.</p> <p> </p> <p><strong>Contributors</strong></p> <p>The database development is jointly led by Dr Payal Bal (University of Melbourne) and Dr Jessica R. Marsh (Charles Darwin University).</p> <p> </p> <p><strong>Data contributors (individuals)</strong>: xxxx</p> <p><strong>Data contributors (institutions)</strong>: xxx</p> <p><strong>Data processing</strong>: Payal Bal, Jane Ogilvie, Junn Kitt Foon, Jess Marsh, Elizabeth Wenk, Sophie Yang</p>
Data for: A database of West European headwater macroinvertebrate stoichiometric traits
<p><strong>Motivation</strong>: Ecological stoichiometry investigates the equilibrium and the fluxes of chemical elements and energy between organisms and their environment. Several studies pointed out the value of integrating stoichiometric traits for a better understanding of the mechanisms behind community and ecosystem processes. Especially in the light of globally changing nutrient levels in freshwater systems, the link of stoichiometric traits to nutrient cycling and trophic interactions can improve our investigations of a species or community response to these changes. Benthic macroinvertebrate assemblages are widely used for biomonitoring in freshwaters, providing a large number of data sets gathering information about their taxonomic diversity at many different spatial and temporal scales. Likewise, an increasing number of large databases gives ready access to information on a variety of macroinvertebrate biological traits. The addition of stoichiometric traits to this pool of available information could thus expand the application of trait approaches and facilitate the study of the links between nutrient cycling and ecosystem functioning.<br> Main types of variables contained: The database contains information on elemental content of 188 taxa, in terms of the major nutrients %C, %N and %P and the corresponding molar ratios C:N, C:P and N:P. We provide calculated taxon mean values as well as the underlying raw data on individual level that was obtained from field sampling, supplemented by a literature research (n=1555, 174 taxa).<br> Major taxa and level of measurements: The database contains information on 188 macroinvertebrate taxa, available at species (n = 33), genus (96), tribe (9), subfamily (6), family (42), order (1) or class (1) levels.<br> Software format: .csv file</p>
Figure 1 in A student-based expansion of the strategies of reproduction in fish (STOREFISH) database to 288 North American freshwater and anadromous species for 14 egg and larval traits
Figure 1. – Data in the STOREFISH database summarized by origin and family, and mapped onto the phylogeny of teleost families from Rabosky et al. (2018). Values in bold are the median number of records across all species in that family (followed by the associated 2.5 and 97.5% quantiles if the number of species in a family is ≥3). Values not in bold are medians for the number of traits for which data are available across all species in that family (followed by quantiles if ≥3 species). Not included in this phylogeny are the families Lotidae (1 species; 69 | 14), Petromyzontidae (11 species; 2, 1, 34 | 2, 1, 9.25), and Thymallidae (2 species; 72 | 13). A high-resolution version of this figure is available from www.storefish.org.
Data from: sFDvent: a global trait database for deep-sea hydrothermal-vent fauna
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Data from: Data sources for trait databases: comparing the phenomic content of monographs and evolutionary matrices
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Data for: A database of West European headwater macroinvertebrate stoichiometric traits
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Figure A1 in A student-based expansion of the strategies of reproduction in fish (STOREFISH) database to 288 North American freshwater and anadromous species for 14 egg and larval traits
Figure A1. – Box-plots for the first four survey questions (Q1-Q4). See Table A1 for explanations.
Traits and subtraits in miRNA Database
<p>Traits and subtraits in miRNA Database</p>
Data and code associated to the manuscript: "The Octocoral Trait Database: a global database of trait information for octocoral species"
<p>The ZIP file contains structured data and code to create all figures from the manuscript: “The Octocoral Trait Database: a global database of trait information for octocoral species”.</p> <p>The folder contains the following files:</p> <p>· Code.R – This is the annotated code used to create all figures in R. (v R studio; 2023.06.0+421)</p> <p>· database.csv – This is the first data realase of the octocoral trait database, used to create all figures of the manuscript.</p> <p>· sp_id.csv – This is a file containing the list of accepted octocoral species contained in the database</p> <p>· iqtree.tre – This is a tree object used to create a family-resolved tree of octocorals. It has been downloaded from McFadden et al. 2022. Revisionary systematics of Octocorallia (Cnidaria: Anthozoa) guided by phylogenomics</p> <p>· MEOW – A folder containing regional information from Spalding et al. 2007. Marine Ecoregions of the World: A Bioregionalization of Coastal and Shelf Areas</p> <p>· Provinces_coord.csv: A file containing the coordinates of marine provinces, also derived from Spalding et al. 2007</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.