Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
273
datasets available to search
ShareScore release 0.7.1
Dataset results
273 results for “leaf traits”
FIGURE 8 in Taxon-specific variability of leaf traits in three long-ranging fossil-species of the Paleogene and Neogene: Responses to climate?
FIGURE 8. Circularity plotted against LWR. Blue circles: Platanus neptuni. Red squares: Eotrigonobalanus furcinervis. Yellow diamonds: Daphnogene cinnamomifolia. Black line: Relationship between circularity and length-towidth ratio of an ellipse. Please note that this relationship was calculated by using an approximate equation for the perimeter of an ellipse, which causes the slight deflection of the curve for high circularity values. As approximation, the following equation for the ellipse perimeter (EP) was used: EP = π* [2 * (a2 + b2)1/2].
Spectral and trait data for Rapid estimates of leaf litter chemistry using reflectance spectroscopy
<p>Measuring the chemical traits of leaf litter is important for understanding plants' roles in nutrient cycles, including through nutrient resorption and litter decomposition, but conventional leaf trait measurements are often destructive and labor-intensive. Here, we develop and evaluate the performance of partial least-squares regression (PLSR) models that use reflectance spectra of intact or ground leaves to estimate leaf litter traits, including carbon and nitrogen concentration, carbon fractions, and leaf mass per area (LMA). Our analyses included more than 300 samples of senesced foliage from 11 species of temperate trees, including needleleaf and broadleaf species. Across all samples, we could predict each trait with moderate-to-high accuracy from both intact-leaf litter spectra (validation <em>R<sup>2</sup></em> = 0.543-0.941; %RMSE = 7.49-18.5) and ground-leaf litter spectra (validation <em>R<sup>2</sup></em> = 0.491-0.946; %RMSE = 7.00-19.5). Notably, intact-leaf spectra yielded better predictions of LMA. Our results support the feasibility of building models to estimate multiple chemical traits from leaf litter of a range of species. In particular, the success of intact-leaf spectral models allows non-destructive trait estimation in a matter of seconds, which could enable researchers to measure the same leaves over time in studies of nutrient resorption.</p>
Leaf functional traits and environmental conditions of four common nymphaeid species
<p>This dataset includes measures of 21 leaf functional traits of 48 wild populations of four species of nymphaeids: <em>Nuphar lutea</em>, <em>Nelumbo nucifera</em>, <em>Nymphaea alba</em> and <em>Nymphoides peltata</em>. For each population (plot) coordinates, water depth, pH, specific conductivity, nitrate, dissolved inorganic carbon, dissolved reactive silica, soluble reactive phosphorus, sediment organic matter content and sediment total phosphorus content and sediment density are provided as well. The populations were located in different lake systems in Italy. The dataset includes a legend sheet with information on single traits and environmental variables, including units of measurement.</p> <p>Structural traits (area, fresh and dry weight, dry matter content and specific area) were measured on 5 leaves from different individuals, while leaf pigments and phosphorus content were measured on 3 leaves. Leaf carbon and nitrogen content were measured on one aliquot of the pooled dried material of all leaves. Therefore, the missing values in the dataset derive from the sampling design of the study. All further information on the methodology used to collect and measure the traits and environmental variables can be found in the related paper ("Ecological and functional niches comparison reveals differentiated resource-use strategies and ecological thresholds in four key floating-leaved macrophytes", Dalla Vecchia et al. 2024, Limnology and Oceanography).</p>
FIGURE 1. Fossil locations and fossil ages. A in Leaf trait data of two Miocene floras from eastern China and its palaeoclimate implications
FIGURE 1. Fossil locations and fossil ages. A, yellow points indicate the locations of fossil floras. The numbered red lines indicate the regional vegetation of southeastern China (background picture by GeoMapApp: geomapapp.org; the vegetation division after Zhang et al., 2007): 1, tropical rainforest and humid rainforest; 2, subtropical evergreen broad-leaved forest; 3, warm temperate deciduous oak forest; B, fossil ages of the Toupi flora (17 – 14 Ma) and Shengxian flora (10.5 ± 0.5 Ma).
FIGURE 2. Example for a in Leaf trait data of two Miocene floras from eastern China and its palaeoclimate implications
FIGURE 2. Example for a replenished fossil leaf. The yellow line is the outline of the original fossil. The blue line is the outline of replenished leaf (the leaf reconstruction was visually based on taxon specific gross morphology, Toumoulin et al., 2020). The petiole width was determined at the region of the insertion point (Traiser et al., 2018); Scale bar equals 1 cm.
Data from: Measuring leaf and root functional traits uncovers multidimensionality of plant responses to arbuscular mycorrhizal fungi
<p>Premise of the study While many studies have measured the aboveground responses of plants to mycorrhizal fungi at a single time point, little is known about how plants respond belowground or across time to mycorrhizal symbiosis. By measuring belowground responses as well as growth over time in many plant species, we create a more complete picture of how mycorrhizal fungi benefit their hosts. Methods We grew 26 prairie plant species with and without mycorrhizal fungi and measured fourteen functional traits measuring above and belowground tissue quality and quantity responses and changes in resource allocation. We used function-value trait (FVT) modeling to characterize changes in species growth rate when colonized. Key results While aboveground biomass responses were positive, the response of traits belowground were much more variable. Changes in aboveground biomass accounted for 60.8% of the variation in mycorrhizal responses, supporting the use of aboveground biomass response as the primary response trait. Responses belowground were not associated with aboveground responses and accounted for 18.3% of the variation. Growth responses over time were highly variable across species. Interestingly, none of the measured responses were phylogenetically conserved. Conclusions Mycorrhizal fungi increase plant growth in most scenarios, but the effects of these fungi belowground and across time are more complicated. This study highlights how differences in plant allocation priorities might affect how they utilize the benefits from mycorrhizal fungi. Identifying and characterizing these differences is a key step to understanding the effects of mycorrhizal mutualisms on whole plant physiology. </p>
LT-Brazil: A database of leaf traits across biomes and vegetation types in Brazil
<p><span>Motivation: Leaf traits represent an important component of plant functional strategies, and those related to carbon fixation and nutrient acquisition form the leaf economics spectrum. However, observations of functional leaf traits are underrepresented in tropical regions in comparison with those in temperate areas. Brazil, a country with continental scale and vast biodiversity is a timely example, where many biomes are impacted by human activities and climate change. However, leaf traits relevant to understand vegetation responses to these impacts remain poorly quantified for many species found in the country. We compiled an extensive data set of four functional leaf traits for native woody species occurring in the Brazilian territory. In addition to trait observations, sampling dates and geo-references were compiled and climatic parameters and soil properties of each sampling site were extracted from several databases.</span></p> <p><span>Main types of variables contained: The LT-Brazil data set contains 3479, 1216, 775, and 775 clean observations of leaf mass per area, leaf nitrogen (N) concentration per unit mass, leaf phosphorus (P) concentration per unit mass, and leaf N : P ratio, respectively, from native woody species, encompassing information of biome, vegetation, taxonomic data, geographical coordinates, climatic parameters, as well as soil properties.</span></p> <p><span>Spatial location and grain: We compiled trait observations from 223 sites under native vegetation distributed in all main biomes (i.e., Amazônia, Caatinga, Cerrado, Mata Atlântica, Pampa, and Pantanal) across the Brazilian territory.</span></p> <p><span>Time period and grain: The data represent information published and/or sampled during the last 25 years.</span></p> <p><span>Major taxa and level of measurement: Our compilation was focused on trait data observed for native woody species, excluding monocots, palm trees, herbs, and hemiparasitic plants. Thus, 108, 478, and 1321 botanical families, genera, and species were included, covering <em>c.</em> 9% of the woody angiosperm flora of Brazil.</span></p> <p>Software format: Data are provided as comma-separated value (.csv) files.</p>
Data from: Effects of artificial light at night on the leaf functional traits of freshwater plants
<p>Leaf traits measured on three species of submerged aquatic plants (<em>Myriophyllum verticillatum </em>L., <em>Potamogeton coloratus</em> Hornem., and <em>Vallisneria spiralis</em> L.) grown under light pollution at night or in the dark. Details about the protocols and the data collection can be found in the article published in <em>Freshwater Biology</em>.</p>
Optically measured mean leaf traits from a large set of taxa growing in two botanical gardens: in the French Alps and southern Finland
<p>This dataset contains records of the optically measured mean leaf traits (adaxial flavonol & anthocyanin index and chlorophyll index, units are an optical index of leaf/epidermal relative absorbance) from a large set of plant taxa growing at alpine botanical garden at the Joseph Fourier Field Station (Université Grenoble Alps, France; 2100 m a.s.l.; 45°2' 9" N, 6°23' 59" E) and at Kumpula Botanical Garden (LUOMUS, University of Helsinki, Finland; 14 m a.s.l.; 60° 12' 7" N, 24° 57' 26" E;). Optical measurements were made during the summers of 2014 and 2015 with a leaf-clip Dualex Scientific + (Force-A, Paris-Orsay, France) and all detailed information about the methods are published in Hartikainen and Robson, doi: 10.3389/fpls.2022.1058162. This dataset also includes spectrophotometer measurements of absorbance by phenolic compounds in leaf extracts in acidified methanol (abs range 290-400 nm) and mini-PAM measurements of chlorophyll fluorescence from different subsets of taxa at alpine botanical garden. All details concerning these data are given in Hartikainen and Robson (doi: 10.3389/fpls.2022.1058162) and its Supplementary Materials. Sheet with explanation of the different variables is also included.</p>
Data - Krieg et al. (2023) Functional Traits and Trait Co-ordination Change Over the Life of a Leaf in a Tropical Fern Species. AJB.
<p>Summary of the data set used in Krieg et al. (2023) Functional Traits and Trait Co-ordination Change Over the Life of a Leaf in a Tropical Fern Species. AJB.</p>
Global dataset for "Global leaf-trait mapping based on optimality theory "
<p>This repository contains Global data used for “<em>Global leaf-trait mapping based on optimality theory</em><strong>” </strong>published in GEB.</p> <ol> <li>Global_Maps_SLA represents climatology of published Global SLA used for comparison (details products see table 1 and figure 4).</li> <li>Global_Maps_Na represents climatology of published Global Narea used for comparison (details see table 1 and figure 4).</li> <li>Global_Maps_Nmass represents climatology of published Global Nmass used for comparison (details see table 1 and figure 4).</li> <li>TS_SLA is simulated time-series of <em>SLA</em> based on optimality theories from 1992 to 2015</li> <li>TS_Na is simulated time-series of <em>Narea </em>based on optimality theories from 1992 to 2015</li> <li>TS_Nmass is simulated time-series of <em>Nmass </em>based on optimality theories<em> </em> from 1992 to 2015</li> <li>TS_LMA_decidudous is simulated time-series of deciduous <em>LMA</em> based on optimality theories from 1982 to 2016</li> <li>TS_LMA_evergreen is simulated time-series of evergreen <em>LMA</em> based on optimality theories from 1982 to 2016</li> <li>TS_Vcmax25 is simulated time-series of Vcmax25 based on optimality theories from 1982 to 2016</li> </ol>
Data from: Leaf metabolic traits reveal hidden dimensions of plant form and function
<p>In this study, we interpreted leaf metabolome variation among 457 tropical and 339 temperate plant species to understand how the metabolome contributes to macroecological variation in plant functioning. Metabolome data were generated using liquid chromatography mass spectrometry, annotated with compound names (where possible), and cross-referenced against chemoinformatics databases to derive metabolite chemical properties. We then compared variation in leaf metabolite chemical properties among species with variation in classical plant functional traits.</p>
Supporting information for "Few-Shot Learning Enables Population-Scale Analysis of Leaf Traits in Populus trichocarpa"
<p>Raw VCF file for <em>Populus trichocarpa</em> V4 SNPs - Biallelic SNP variants were called for 1492 Populus trichocarpa genotypes using GATK Version 4.0 software.</p>
Data from: Measuring leaf and root functional traits uncovers multidimensionality of plant responses to arbuscular mycorrhizal fungi
Open the record for dataset details and reuse information.
Spectral and trait data for Rapid estimates of leaf litter chemistry using reflectance spectroscopy
Open the record for dataset details and reuse information.
Data from: Geographic variation in leaf traits and palatability of a native plant invader during domestic expansion
Open the record for dataset details and reuse information.
Relative cover and leaf economic traits for native and non-native plants across five U.S. ecoregions
Open the record for dataset details and reuse information.
LT-Brazil: A database of leaf traits across biomes and vegetation types in Brazil
Open the record for dataset details and reuse information.
Impact of light intensity on sugar maple leaf physical traits and consequences for caterpillar preference and performance
Open the record for dataset details and reuse information.
Data from: Leaf functional traits predict timing of nutrient resorption and carbon depletion in deciduous subarctic plants
Open the record for dataset details and reuse information.
ScienceDex guides
Understand access before you commit
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.