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    164 research outputs found

    Novaseq DNA data for Astralagus lentiginosus microbiome manipulation

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    Within the zip file there is a README and a file called trait_and_treatment_data.csv that contains a large amount of information for each replicate within this experimen

    When Visitors Attack Raw EEG Data

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    We investigated behavioral and neural correlates of spatial reasoning in 21 children aged 6-12 years-old during educational video game play. Behavioral measures included child performance in learning the concept during the pretest, practice, and posttest portions of the game. Neural correlates using electroencephalography focused on event-related potentials, N2 and P3, and joint-time frequencies specifically alpha at three sites; F3, F4, and Pz. Results indicate that all of the participants exhibited naïve conceptions regarding the optics concept, and children 8-12 were successful in learning through video game play. Analyses of correct versus incorrect trials uncovered several interaction effects at the left superior frontal sulcus (F3). Suppression of alpha waves at F3 coincided with correct responses on the posttest. We conclude that suppression of alpha at F3 is essential for spatial concept learning and suggest further research into the field of optical spatial reasoning and spatial learning limitations exhibited by young children

    RNA sequence data for Lycaeides melissa

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    Dataset size: 104.3 GB, ReadMe available below; RNA sequence data for Lycaeides meliss

    Image and Physiological Data: Biophysically Informed Imaging Acquisition of Plant Water Status

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    Vegetation controls carbon and water fluxes because of the fundamental tradeoff between carbon dioxide uptake and water loss occurring when stomata are open. Quantifying the rates of this exchange typically requires either intensive gas exchange or destructive harvesting of tissues and mass spectrometry analyses. Recent developments in high-throughput methods have enhanced our capacity to empirically test plant–environmental interactions. The vast integration characterizing satellite remote sensing methods masks organ-level physiological mechanisms limiting the predictive capability of current process models. Hence, more ground truth studies are necessary to determine the amount of mechanistic information needed to improve our understanding of forest, crop, and land management. Imaging methodologies, such as thermal and chlorophyll a fluorescence, are currently used to collect information for relevant traits such as water use, growth, and stress response. We tested these techniques during progressive drought across species with different susceptibility in controlled greenhouse conditions. We chose two highly represented tree species in North America: the gymnosperm Pinus ponderosa and the angiosperm Populus tremuloides. To better explore the whole drought response parameter space, we also tested a crop (Brassica rapa) and desert shrub (Artemisia tridentata). Thermal and fluorescence images of the canopy were coupled with leaf-level measurements as we performed three tests to predict drought response using (1) leaf temperature, (2) chlorophyll a fluorescence, and (3) the combination of the two. At 5 days of drought, leaf temperature increased 7 and 10%, accounting for 63 and 73% of the variation in stomatal conductance for both tree species, respectively. The fluorescence signal from images decreased 0.12% and 0.83% in moderately and severely droughted leaves respectively, reaching zero at mortality. Leaf water status was then predicted using a Bayesian approach that incorporated measurements’ uncertainty and parsimony in the analysis of the parameters. Changes in canopy temperature provided confident predictions for the reductions of daily evapotranspiration at the onset of drought. Empirically combining thermal and fluorescence measurements improved predictions (R2 = 0.81) of midday leaf water potential compared to univariate models. Our results represent an important step toward quantifying plant water status during drought using first principles that do not require species-specific information

    Scaling Analysis of Two-Phase Flow in Fractal Permeability Field

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    Scaling Analysis of Two-Phase Flow in Fractal Permeability Fiel

    Data for 'Climate warming alters photosynthetic responses to elevated [CO2] in prairie plants'

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    The impact of elevated [CO2] and climate warming on plant productivity in dryland ecosystems is influenced strongly by soil moisture availability. We predicted that the influence of warming on the stimulation of photosynthesis by elevated [CO2] in prairie plants would operate primarily through direct and indirect effects on soil water. We measured light-saturated photosynthesis (Anet), stomatal conductance (gs), maximum Rubisco carboxylation rate (Vcmax), maximum electron transport capacity (Jmax) and related parameters in four C3 plant species in the Prairie Heating and CO2 Enrichment (PHACE) experiment in southeastern Wyoming. Measurements were conducted over two growing seasons that differed in the amount of precipitation and soil moisture content. Anet in the C3 sub-shrub Artemisia frigida and the C3 forb Sphaeralcea coccinea was stimulated by elevated [CO2] under ambient and warmed temperature treatments. Warming by itself reduced Anet in all species during the dry year, but stimulated photosynthesis in S. coccinea in the wet year. In contrast, Anet in the C3 grass Pascopyrum smithii was not stimulated by elevated [CO2] or warming under wet or dry conditions. Photosynthetic down-regulation under elevated [CO2] in this species countered the potential stimulatory effect under improved water relations. Warming also reduced the magnitude of CO2-induced down-regulation in this grass, possibly by sustaining high levels of carbon utilization. Direct and indirect effects of elevated [CO2] and warming on soil water was an overriding factor influencing patterns of Anet in this semi-arid temperate grassland, emphasizing the important role of water relations in driving grassland responses to global change

    D102 geophysical and core data

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    D102 geophysical and core dat

    MERCIODPREACT

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    MERCIODPREACT; Exploratory experiments on pre-activated freezing nucleation on mercuric iodide; Drop freezing experiments consist of placing sample drops on a cold stage and observing the temperature of freezing of each drop as the stage is cooled

    Full-depth ice temperature measurements from southwestern Greenland's ablation zone, 2015-2017

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    Full-depth ice temperature measurements from southwestern Greenland's ablation zone, 2015-201

    Dataset from manuscript 'Temperature and water depth effects on brGDT distributions in sub-alpine lakes of mid-latitude North America'

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    Dataset from manuscript 'Temperature and water depth effects on brGDT distributions in sub-alpine lakes of mid-latitude North America

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