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.
87
datasets available to search
ShareScore release 0.9.0
Dataset results
87 results for “leaf growth”
Black Rock Forest Spring Freeze Defoliation Radial Growth and Leaf-Level Gas Exchange
These data are from a study conducted at Black Rock Forest in Cornwall, New York, USA during 2020 and 2021. This study was conduct to assess the ecophysiological responses of red oak (Quercus rubra) and red maple (Acer rubrum) trees in a temperate broadleaf forests to a spring frost in 2020 that that defoliated red oak trees, but not red maples. We used 2021—a year without a defoliation event—as a reference year. The datasets include tree-level measurements of (1) basal area increment for the early growing season, late growing season, and entire growing season and (2) leaf-level gas exchange (Amax, gsw, and WUE) for red oak (Quercus rubra) and red maple (Acer rubrum). These data are associated with the manuscript “Compensatory Responses of Leaf Physiology Reduce Effects of Spring Frost Defoliation on Temperate Forest Tree Carbon Uptake” by Reinmann et al.2023 in Frontiers in Forests and Global Change.
Leaf traits plus growth and dieback data for cloud forest epiphytes in a cloud exclusion treatment at Wayqecha Biological Station, Peru
Morphological traits [specific leaf area, stomatal length and density, leaf thickness, cuticle thickness and hydrenchymal layer thickness] and physiological traits [stomatal conductance, minimum leaf conductance and foliar water uptake capacity] along with pressure volume curves were measured at the Wayqecha Biological Station, Peru. Vascular epiphytes were sampled from a control plot and fog reduction treatment plot constructed from two 30 m tall aluminum towers, 40 m apart with panels of polyethylene mesh strung between the towers. Measurements of leaf morphological traits were taken in June-July 2022 in the control and treatment plots to assess plasticity to fog reductionin the fifth year of the experiment. Samples of branches and leaves for each individual approximately 1-2 meters off the ground were collected in the plot, close enough to the curtain to maximize any effects of fog interception. Growth and dieback data were also collected species of vascular and non-vascular epiphytes attached to wooden transplant boards in the control and treatment plot in 2017. Rates of growth and dieback were recorded for vascular epiphytes from 2017-2019 and for non-vascular epiphytes from 2018-2019. The 2017 data collection took place in November while data for 2018 and 2019 were collected in June.
Leaf growth response to mild drought: natural variation sheds light on trait architecture
<p>Plant growth and crop yield are negatively affected by a reduction in water availability. However, a clear understanding of how growth is regulated under non-lethal drought conditions is lacking. Recent advances in genomics, phenomics and transcriptomics allow in-depth analysis of natural variation. In this study, we conducted a detailed screening of leaf growth responses to mild drought in a worldwide collection of <em>Arabidopsis thaliana</em> accessions. </p> <p>The raw phenotyping can be found in:<br> - cellularData.txt -> mature (23 days after stratification; DAS) leaf epidermis (third leaf) analysed for cell area, cell number, pavement cell area, pavement cell number, stomatal index and leaf area of the analysed leaf.</p> <p>- leaf3AreaMaturity.txt -> area of the third leaf at maturity (23DAs) in mm<sup>2.</sup></p> <p>- leaf3AreaProliferation.txt -> area of the third leaf at proliferation (last day of full cell proliferation; 8-10 DAS) in mm<sup>2</sup>.</p> <p>- rosetteArea Maturity.txt -> projected rosette area at maturity (22DAS)</p> <p>The phenotyping results have been normalised for batch effects ('experiment' in raw data)</p> <p>- allPhenotypesNormalised.txt -> contains the normalised data for all the measured phenotypes</p> <p>All datafiles indicate the accession name ('Accession'), the unique identifier for each accessions ('Ecotype_ID') as used in the 1001genomes project (www.1001genomes.org) and the treatment ('C' indicate well-watered plants, 'S' the mild-drought treated plants).</p> <p>These results and methodological results are described in Clauw et al. (2016, The Plant Cell).</p> <p>Citation:</p> <p><strong>Clauw, Pieter, Frederik Coppens, Arthur Korte, Dorota Herman, Bram Slabbinck, Stijn Dhondt, Twiggy Van Daele, et al. 2016. “Leaf Growth Response to Mild Drought: Natural Variation in Arabidopsis Sheds Light on Trait Architecture.” The Plant Cell, October. doi:10.1105/tpc.16.00483.</strong></p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p>
Figure 2 in Root deformation affects mineral nutrition but not leaf gas exchange and growth of Genipa americana seedlings during the recovery phase after soil flooding
Figure 2. Concentrations of P in leaves for G. americana seedlings without or with root deformation (RD) after 28 days of soil drainage (recovery). N = 3. Means followed by the same letter are not significantly different according to Tukey's test (p <0.05). Capital letters represent comparisons water effects within root conditions and lower case letters represent comparisons of roots effects within water conditions.
Figure 1 in Root deformation affects mineral nutrition but not leaf gas exchange and growth of Genipa americana seedlings during the recovery phase after soil flooding
Figure 1. Four months old seedlings of G. americana without (A) and with (B) root deformation (RD) caused by errors in the pricking out process, and a detail of the RD (C).
Fig. 2 in Effect of tenthredinid leaf miner invasions on growth of Alaska white birch in Anchorage, Alaska, USA, and the interaction with biological control of amber-marked birch leaf miner
Fig. 2. Time series analysis of mean radial growth increments (mm) of Alaska white birch (Betula neoalaskana) in Anchorage, Alaska (n = 99) from 1984 to 2018: (1) pre-amber-marked birch leaf miner (Profenusa thomsoni) outbreak control period (1984–1995) (black dots); (2) amber-marked birch leaf miner outbreak period (1996–2007) (red dots); and (3) the amber-marked birch leaf miner suppression period due to biological control (2008–2018) (green dots). Time Series Mean = 1.7938, Std = 0.3843, N = 35, Zero Mean ADF (Augmented Dickey Fuller test) = −0.9887, Single ADF = −2.8315, Trend ADF = −4.8800.
Fig. 1 in Effect of tenthredinid leaf miner invasions on growth of Alaska white birch in Anchorage, Alaska, USA, and the interaction with biological control of amber-marked birch leaf miner
Fig. 1. Percentage of Alaska white birch (Betula neoalaskana) leaves in Anchorage mined by the amber-marked birch leaf miner (AMBLM on graph) (Profenusa thomsoni) or the late birch leaf edge miner (LEM on graph) (Heterarthrus nemoratus) from 1990 to 2019, from the initial invasion of amber-marked birch leaf miner (around 1991) through its suppression by classical biocontrol (2004– 2015) and the invasion of a second species of leaf miner (H. nemoratus) (around 2008). Data on percentage of birch leaves mined by each species were taken from multiple sources: (1) P. thomsoni: 2006–2011 (Soper et al. 2015); 2015 and 2018 (Wenninger unpublished 2018); and 2019 (Andersen et al. 2021); and (2) H. nemoratus: 2008–2010 (Lundquist et al. 2012); 2011 (Mulvey &Lamb 2012, p. 15); 2015 and 2018 (Wenninger unpublished 2018); and 2019 (Andersen et al. 2021).
Fig. 3 in Effect of tenthredinid leaf miner invasions on growth of Alaska white birch in Anchorage, Alaska, USA, and the interaction with biological control of amber-marked birch leaf miner
Fig. 3. Trends in annual radial growth increment (mm) from Alaska white birch (Betula neoalaskana) in Anchorage, Alaska (n = 99 cores) during each of 3 periods: (A) the pre-amber-marked birch leaf miner (Profenusa thomsoni) outbreak period (1984–1995, (B) the amber-marked birch leaf miner outbreak period (1996– 2007), and (C) the biological control amber-marked birch leaf miner suppression period (2008–2018).
Growth form and leaf habit drive contrasting effects of Arctic amplification in long-lived woody species
<p><strong>Raw_and_STD_Chronologies.txt</strong> contains the raw (suffix "_raw") and indexed (suffix "_std") ring-width chronology derived from seven species (<em>Juniperus communis</em> L., <em>Betula nana</em> L., <em>Salix lanata</em> L., <em>Picea abies</em> L., <em>Pinus contorta</em> Douglas, <em>Betula pubescens</em> Ehrh., and <em>Sorbus aucuparia</em> L.) collected from ten sites located across Iceland. In the file, each column addresses the chronology belonging to a precise site and species, coded following the one used in the International Tree-Ring Data Bank (ITRDB) as listed in Grissino_Mayer (1993). This data was used to model growth trends and to perform climate-growth associations over the 1967-2018 period.</p>
Data from: Compounding negative effects of leaf litter absence and belowground competition from an invasive spring ephemeral on native spring ephemeral growth and reproduction
Open the record for dataset details and reuse information.
Picea mariana Growth, Leaf N Concentration and Assimilation in a Bog Exposed to Nitrogen Treatments, 2013-2015
Development of the oil sands has led to increasing atmospheric N deposition, with values as high as 17 kg N ha-1 yr-1; regional background levels <2 kg N ha-1 yr-1. Bogs, being ombrotrophic, may be especially susceptible to increasing N deposition. To examine responses to N deposition, over five years, we experimentally applied N (as NH4NO3) to a bog near Mariana Lakes, Alberta, at rates of 0, 5, 10, 15, 20, and 25 kg N ha-1 yr-1, plus controls (no water or N addition). In September 2013-2015, we measured annual leader extension of Picea mariana on four trees (0.5-2.5 m tall) per plot. Using a visually estimated P. mariana density at Mariana Lakes Bog of 1 tree m-2, and N concentrations in P. mariana needles, we calculated annual N assimilation attributable to new needle production. Annual leader extension and tree growth increased with increasing N input, with the response becoming more pronounced from 2013 through 2015. Picea mariana needle N concentrations also increased with increasing N input, at a modest, but significant rate that was consistent across all years while water addition alone had no significant effect on P. mariana leader extension, growth, needle N concentration, or N assimilation in any of the years of measurement (p >= 0.54). At Mariana Lakes Bog, the effect of N addition on P. mariana NPP became more pronounced over time. We cannot determine the extent to which the progressively steeper P. mariana growth response to N deposition represents a cumulative effect of added N or is related to interannual differences in temporal climatic variables.
C4 photosynthesis and the economic spectra of leaf and root traits independently influence growth rates in grasses
<p>Photosynthetic pathway is an important cause of growth rate variation between species, such that the enhanced carbon uptake of C<sub>4</sub> species leads to faster growth than their C<sub>3</sub> counterparts. Leaf traits that promote rapid resource acquisition may further enhance the growth capacity of C<sub>4</sub> species. However, how root economic traits interact with leaf traits, and the different growth strategies adopted by plants with C<sub>3</sub> and C<sub>4</sub> photosynthetic pathways is unclear. Plant economic traits could interact with, or act independently of, photosynthetic pathway in influencing growth rate, or C<sub>3</sub> and C<sub>4</sub> species could segregate out along a common growth rate-trait relationship.</p> <p>We measured leaf and root traits on 100+ grass species grown from seeds in a controlled, common environment to compare with relative growth rates (RGR) during the initial phase of rapid growth, controlling for phylogeny and allometric effects.</p> <p>Photosynthetic pathway acts independently to leaf and root functional traits in causing fast growth. Using C<sub>4</sub> photosynthesis, plants can achieve faster growth than their C<sub>3</sub> counterparts (by an average 0.04 g g<sup>-1</sup> day<sup>-1</sup>) for a given suite of functional trait values, with lower investments of leaf and root nitrogen. Leaf and root traits had an additive effect on RGR, with plants achieving fast growth by possessing resource-acquisitive leaf traits (high specific leaf area and low leaf dry matter content) or root traits (high specific root length and area, and low root diameter), but having both leads to an even faster growth rate (by up to 0.06 g g-1 day-1). C<sub>4</sub> photosynthesis can provide a greater relative increase in RGR for plants with a 'slow' ecological strategy than in those with fast growth. However, aboveground and belowground strategies are not coordinated, so that species can have any combination of 'slow' or 'fast' leaf and root traits.</p> <p>Synthesis: C<sub>4</sub> photosynthesis increases growth rate for a given combination of economic traits, and significantly alters plant nitrogen economy in the leaves and roots. However, leaf and root economic traits act independently to further enhance growth. The fast growth of C<sub>4</sub> grasses promotes a competitive advantage under hot, sunny conditions.</p>
Data from: Detrital nutrient content and leaf species differentially affect growth and nutritional regulation of detritivores
Resource nutrient content and identity are common bottom-up controls on organismal growth and nutritional regulation. One framework to study these factors, ecological stoichiometry theory, predicts that elevated resource nitrogen (N) and phosphorus (P) contents enhance organism growth by alleviating constraints on N and P acquisition. However, the regulatory mechanisms underlying this response – including whether responses depend on resource identity – remain poorly understood. In this study, we tested roles of detrital N and P contents and identity (leaf species) in constraining growth of aquatic invertebrate detritivores. We synthesized results from seven detritivore species fed wide nutrient gradients of oak and maple detritus in the laboratory. Across detritivore taxa, we used a meta-analytic approach quantifying effects of detrital leaf species and N and P contents on growth, consumption, and N- and P-specific assimilation and growth efficiencies. Detritivore growth rates increased on higher-N and P detritus and on oak compared to maple detritus. Notably, the mechanisms of improved growth differed between the responses to detrital nutrients versus leaf species, with the former driven by greater consumption rates despite lower assimilation efficiencies on higher-nutrient detritus, and the latter driven by improved N and P assimilation and N growth efficiencies on oak detritus. These findings suggest animal nutrient acquisition changes flexibly in response to resource changes, altering the fate of detrital N and P throughout regulation. We affirm resource identity and nutrients as important bottom-up controls, but suggest these factors act through separate pathways to affect organism growth and thereby change detrital ecosystems under anthropogenic forest compositional change and nutrient enrichment.
Wood density and leaf size jointly predict woody plant growth rates across (but not within) species along a steep precipitation gradient
<p>1. Functional traits have been proposed to define key dimensions of plant ecological strategies, but we lack consensus on whether traits can accurately predict plant demography. Despite theoretical expectations, it has been challenging to find consistent relationships between functional traits and growth. 2. In this study, we quantified inter- and intraspecific trait variation and individual growth rates of woody plants across a steep moisture gradient that varies 10-fold in annual precipitation (350–3,700 mm) in southern Chile and used a hierarchical Bayesian model to predict growth as a function of trait values. 3. We show that large-leaved species with lower stem tissue density exhibited the fastest growth rates, and these two traits exhibited the highest proportion of interspecific variation. Predictions of growth improved considerably (R2 of the best model increased from 0.28 to 0.49) when species-level multiple traits and their interactions were considered. The inclusion of intraspecific trait variation (ITV), however, did not improve models of growth rate. 4. We found that trait-growth rate relationships were not always consistent across levels of biological organization; relationships observed at the interspecific level did not necessarily hold at the intraspecific level. We found that the relationships between wood density or leaf size and growth were consistent in direction across the precipitation gradient, and the relationships between leaf economics traits and growth were weak and site-specific. 5. Synthesis. Although using more than one functional trait considerably improved growth predictions, wood density and leaf size successfully predicted growth rates across (not within) species, which is consistent with a whole-plant carbon economy. We assert that these two traits are intimately linked and ultimately describe a continuum of plant architecture and carbon economy that covers multiple trait syndromes.</p>
Effects of leaf litter traits on terrestrial isopod and millipede consumption, assimilation and growth
<ol> <li>Nutrient cycling through leaf litter consumption is an essential ecological function performed by macrodetritivorous invertebrates such as isopods and millipedes. Leaf litter consumption rates can vary greatly depending on the environment, consumer identity, and litter traits, but generalizations about the effects of plant traits on macrodetritivore leaf litter consumption, assimilation and growth are not well established and mostly indirectly inferred.</li> <li>We conducted a systematic search of the global literature and obtained 456 standardized measures from laboratory experiments of relative consumption (RCR), assimilation (RAR) and growth (RGR) rates of terrestrial isopods and millipedes, extracted from 56 different articles. We investigated if commonly measured leaf traits, plant functional groups, prior microbial conditioning of leaves, and climatic conditions affected these rates. We obtained data on commonly measured leaf traits from the TRY global plant trait database, inferred plant functional groups from taxonomic groupings, and obtained climatic data from information reported within articles.</li> <li>RCR, RAR and RGR varied greatly among macrodetritivore and plant species, but overall, there were no differences between isopods and millipedes. Microbial conditioning of litter greatly increased RCR. Plant functional group was an important predictor of RCR, with eudicot trees and forbs being consumed in greater quantities than magnoliid trees and grasses. Fresh leaf N:P ratio had a positive effect on RAR, and leaf N and C:N ratio had positive and negative effects on RGR respectively, while climatic variables had weak effects on the three rates.</li> <li>Our work shows that plant traits (both those associated with plant functional groups and commonly measured leaf traits) exert strong effects on resource processing rates by terrestrial macrodetritivores. Further, prior microbial conditioning of leaf litter has a large and globally consistent positive effect on macrodetritivore litter consumption, suggesting that they may consume little, if any, freshly senesced leaf material when microbially conditioned litter is available. Our results suggest that, where extremes of temperature or precipitation do not occur, variables reflective of food quality (leaf traits and microbe conditioning) are more important drivers of macrodetritivore leaf litter consumption than are extrinsic climatic variables.</li> </ol>
Global leaf sulphur stoichiometry and the relationships with nitrogen and phosphorus: phylogeny, growth form and environmental controls
<p>Sulphur (S) is an essential bioelement with vital roles in serving regulatory and catalytic functions, and tightly coupled with N and P in plants. However, globally stoichiometric patterns of leaf S and its relationships to leaf N and P are less well studied. We compiled 31,939 records of leaf-based data for 2,600 plant species across 6,652 sites worldwide. All plant species were divided into different phylogenetic taxa and growth forms. Standard major axis analysis was employed to fit the bivariate element relationships. A phylogenetic linear mixed effect model and a multiple regression model were used to partition the variations of bioelements into phylogeny and environments, and then to estimate the importance of environmental variables. Global geometric mean leaf S, N and P concentrations were 1.44, 15.70 and 1.27 mg g-1, with significant differences among plant groups. Leaf S-N-P positively correlated to each other, ignoring plant groups. The scaling exponents of LN-LS, LP-LS and LN-LP were 0.64, 0.76 and 0.79 for all species, but differed among plant groups. Both phylogeny and environments regulated the bioelements. The variability, rather than mean temperature controlled the bioelements. Phylogeny explained more for the concentrations of all the three bioelements than environments, of which S was the one most affected by phylogenetic taxa.</p>
Data from: Genetic variation in growth and leaf traits associated with local adaptation to climate in yellow birch (Betula alleghaniensis Britton)
<p>Understanding patterns of variation in functional traits of hardwood trees is crucial for conserving and managing North American temperate forests under climate change. This study examined provenance variation of yellow birch (<em>Betula alleghaniensis</em> Britton) in growth, biomass allocation, leaf morphology, and stable carbon isotope composition. Trees were grown from ten seed sources originating from across Canada and the northern USA. Height and diameter were not significantly related to climate at seed origin, suggesting that variation may be better explained by site factors, such as soil pH and soil moisture. In contrast, carbon isotope composition and leaf morphological traits were significantly correlated to climate variables including temperature, precipitation, and solar radiation. Provenances from warmer, drier localities tended to have higher stable carbon isotope ratio (δ<sup>13</sup>C), greater specific leaf area, and narrower leaf width than their counterparts from cooler, wetter climates. Thus, variation in leaf morphological traits appears to be involved in adaptation of yellow birch to variation in temperature and moisture availability across the species' range. Our results suggest that there may exist potential for selection and breeding of drought resistant yellow birch genotypes to aid in reforestation under climate change. </p>
Data from: Scaling of leaf area with biomass in trees reconsidered: Constant metabolically active sapwood volume per unit leaf area with height growth
<p>Hypoallometric (slope<1) scaling between metabolic rate and body mass is often regarded as near-universal across organisms. However, there are compelling reasons to question hypoallometric scaling in woody plants, where metabolic rate=leaf area. This leaf area must provide carbon to the metabolically active sapwood volume (VMASW). Within populations of a species, variants in which VMASW increases per unit leaf area with height growth (e.g. ⅔ or ¾ scaling) would have proportionally less carbon for growth and reproduction as they grow taller. Therefore, selection should favor individuals in which, as they grow taller, leaf area scales isometrically with shoot VMASW (slope=1). Using tetrazolium staining, we measured total VMASW and total leaf area (LAtot) across 22 individuals of Ricinus communis and confirmed that leaf area scales isometrically with VMASW, and that VMASW is much smaller than total sapwood volume. With the potential of the LAtot-VMASW relationship to shape factors as diverse as the crown area-stem diameter relationship, conduit diameter scaling, reproductive output, and drought-induced mortality, our work suggests that the notion that sapwood increases per unit leaf area with height growth requires revision.</p>
Data from: Drought and heat-induced mortality of conifer trees is explained by leaf and growth legacies
<p>An increased frequency and severity of droughts and heatwaves have resulted in increased tree mortality and forest dieback across the world but underlying mechanisms are poorly understood. We used a common garden experiment with 20 conifer tree species to quantify mortality after three consecutive hot, dry summers and tested whether mortality could be explained by putative underlying mechanisms, such as stem hydraulics and legacies affected by leaf lifespan and stem growth responses to previous droughts. Mortality varied from 0-79% across species and was, surprisingly, not affected by hydraulic traits. Mortality increased with the species' leaf lifespan, probably because leaf damage caused crown dieback and contributed to carbon depletion and sensitivity to bark beetle damage. Mortality also increased with lower growth resilience, which may exacerbate the contribution of carbon depletion and bark beetle sensitivity to tree mortality. Our study highlights how ecological legacies at different time scales can explain tree mortality in response to hot, dry periods and climate change.</p>
Data from: Heritability of growth and leaf loss compensation in a long-lived tropical understorey palm
<p>Data from: Heritability of growth and leaf loss compensation in a long-lived tropical understorey palm, PLOS ONE.</p> <p>Quantitative genetic data related to growth parameters and leaf loss compensation of 1402 <em>Chamaedorea elegans</em> seedlings. Data was collected in a greenhouse experiment performed at the Unifarm experimental facilities of Wageningen University between January 2013 and July 2014, in which a defoliation treatment was applied. Seeds were collected in the Montes Azules Biosphere Reserve in Chiapas, Mexico. See PLOS ONE publication for more details.</p> <p>The file contains a separate "read me" tab in which the meaning of the variable codes is explained. </p> <p> </p>
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.