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5 results for “mixture distribution”
Increased accuracy of starch granule type quantification using mixture distributions
<p>This release accompanies the paper "Increased accuracy of starch granule type quantification using mixture distributions".</p>
Interactive effects of tree species mixture and climate on foliar and woody trait variation in a widely distributed deciduous tree
<p><span>Despite increasing reports of severe drought and heat impacts on forest ecosystems, c</span>ommunity-level processes, which could potentially modulate tree responses to climatic stress, are rarely accounted for. While numerous studies<span> indicate a positive effect of species diversity on a wide range of ecosystem functions and services, little is known about how species interactions influence tree responses to climatic variability. We quantified the intraspecific variation in 16 leaf and wood physiological, morphological, and anatomical traits in mature beech trees (<i>Fagus sylvatica</i> L.) at six sites located along a climatic gradient in the French Alps. At each site, we studied pure beech and mixed stands with silver fir (<i>Abies alba </i>Mill.) or downy oak (<i>Quercus pubescens </i>Willd.). We tested how functional traits differed between the two species mixtures (pure <i>vs</i>. mixed stands) within each site and along the climatic gradient. We found significant changes in many traits along the climatic gradient </span>as conditions progressively got drier and warmer<span>. Independent of the mixture, reduced leaf-level CO<sub>2</sub> assimilation, stomatal size, and thicker leaf cuticles, consistent with a more conservative resource use strategy, were found. At the drier sites, higher foliar stable carbon isotopic composition (</span><span>d</span><sup><span>13</span></sup><span>C), thicker mesophyll tissues, and lower specific leaf area (SLA) in pure stands suggests that beech had more acquisitive traits there compared to mixed stands. At the wetter sites, trees in beech-silver fir mixtures had higher chlorophyll concentration, lower </span><span>d</span><sup><span>13</span></sup><span>C, larger xylem vessels, and higher SLA, suggesting a more acquisitive resource use strategy in mixed stands than in pure stands. </span>Our work revealed that species interactions are significant modulators of functional traits, and that they can be just as important drivers of intraspecific trait variation as climatic conditions. <span>We show that downy oak mixtures lead to an adaptive drought response by common beech in dry environments. In contrast, in milder climates, interactions with silver fir seem to increase beech' resource acquisition and productivity. These findings highlight a strong context-dependency and imply that incorporating local interspecific interactions in research on climate impacts could improve our understanding and predictions of forest dynamics.</span></p>
First-passage probability estimation of high-dimensional nonlinear stochastic dynamic systems by a fractional moments-based mixture distribution approach
<p>First-passage probability estimation of high-dimensional nonlinear stochastic dynamic systems is a significant task to be solved in many science and engineering fields, but remains still an open challenge. The present paper develops a novel approach, termed ‘fractional moments-based mixture distribution’, to address such challenge. This approach is implemented by capturing the extreme value distribution (EVD) of the system response with the concepts of fractional<br> moment and mixture distribution. In our context, the fractional moment itself is by definition a high-dimensional integral with a complicated integrand. To efficiently compute the fractional moments, a parallel adaptive sampling scheme that allows for sample size extension is developed using the refined Latinized stratified sampling (RLSS). In this manner, both variance reduction and parallel computing are possible for evaluating the fractional moments. From the knowledge<br> of low-order fractional moments, the EVD of interest is then expected to be reconstructed. Based on introducing an extended inverse Gaussian distribution and a log extended skew-normal distribution, one flexible mixture distribution model is proposed, where its fractional moments are derived in analytic form. By fitting a set of fractional moments, the EVD can be recovered via the proposed mixture model. Accordingly, the first-passage probabilities under different<br> thresholds can be obtained from the recovered EVD straightforwardly. The performance of the proposed method is verified by three examples consisting of two test examples and one engineering problem.</p>
Interactive effects of tree species mixture and climate on foliar and woody trait variation in a widely distributed deciduous tree
Open the record for dataset details and reuse information.
Energy distribution of negatively and positively charged ions in a magnetron sputtering discharge with a tungsten cathode and a positively biased anode in an argon/oxygen gas mixture.
<p>The energy distribution of negatively and positively charged ions in a magnetron discharge with a positively biased anode is investigated. A tungsten cathode operated in an argon/oxygen gas mixture is employed. The magnetron is operated either in direct current (DCMS) or in high power impulse magnetron sputtering (HiPIMS) mode.</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.