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ShareScore release 0.9.0
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800 results for “mixtures”
Analysis of mixtures of birds and insects in weather radar profile data
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A scalable realization of local U(1) gauge invariance in cold atomic mixtures
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Chemical upcycling of polyethylene, polypropylene, and mixtures to high-value surfactants
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Taxon-specific response of natural enemies to different flower strip mixtures
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Data from: Diversity in resource use strategies promotes productivity in young planted tree species mixtures
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Data from: Estimating abundance of an open population with an N-mixture model using auxiliary data on animal movements
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Pan trap and plant-flower visitor observation data for: Multi-species crop mixtures increase insect biodiversity in an intercropping experiment
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Data from: A synthetic biology and green bioprocess approach to recreate agarwood sesquiterpenoid mixtures
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Data from: Functional diversity enhances, but exploitative traits reduce tree mixture effects on microbial biomass
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Cover crop mixtures enhance multiple ecosystem functions: A global meta-analysis
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Data from: Critically evaluating the theory and performance of Bayesian analyis of macroevolutionary mixtures
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Data from: Direct evidence that cryoprotectant mixtures facilitate individual component permeation into living plant cells
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Improved control of Septoria tritici blotch in durum wheat using cultivar mixtures
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Data from: using camera traps and N-mixture models to estimate population abundance: model selection really matters
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Population-based heteropolymer design to mimic protein mixtures
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Dynamics of phase separation of sheared inertialess binary mixtures
<p>Videos (gif files) of the simulated dynamics of phase separation report the maps of mass fraction of species <em>A</em> (<em>f</em>) at different time intervals within the simulated domain. File names are as follows:</p> <p>Sec3.<strong>s</strong>_gamma<strong>G</strong>_Nalpha<strong>N</strong>_MC<strong>n</strong>_tstep<strong>T</strong>-phi</p> <p>where:</p> <p><strong>s</strong> identifies the section number as in the main text (i.e., Sec3.1, Sec3.2, Sec3.3, Sec3.4)</p> <p><strong>G</strong> identifies the value of the dimensionless shear rate (e.g., 0, 10<sup>-2</sup>, etc.)</p> <p><strong>N</strong> identifies the value of the fluidity parameter <em>N</em><em><sub>a</sub></em> (e.g., 10<sup>-2</sup>, 10<sup>2</sup>, etc.)</p> <p><strong>n</strong> identifies the different realizations of the initial random noise (i.e., MC1, MC2)</p> <p><strong>T</strong> identifies the time step in dimensionless time (i.e., tstep20, tstep200)</p>
Data from: Decomposition of leaf litter mixtures across biomes: The role of litter identity, diversity and soil fauna
<p class="CxSpFirst">1. At broad spatial scales, the factors regulating litter decomposition remain ambiguous, with the understanding of these factors largely based on studies investigating site-specific single litter species, whereas studies using multi litter species mixtures across sites are rare.</p> <p class="CxSpMiddle">2. We exposed in microcosms containing single species and all possible mixtures of four leaf litter species differing widely in initial chemical and physical characteristics from a temperate forest to the climatic conditions of four different forests across the northern hemisphere for one year.</p> <p class="CxSpMiddle">3. Calcium, magnesium and condensed tannins predicted litter mass loss of single litter species and mixtures across forest types and biomes, regardless of species richness and microarthropod presence. However, relative mixture effects differed among forest types and varied with the access to the litter by microarthropods. Access to the microcosms by microarthropods modified the decomposition of individual litter species within mixtures, which differed among forest types independent of litter species richness and composition of litter mixtures. However, soil microarthropods generally only little affected litter decomposition.</p> <p>4. <i>Synthesis</i>. We conclude that litter identity is the dominant driver of decomposition across different forest types and the non-additive litter mixture effects vary among biomes despite identical leaf litter chemistry. These results suggest that across large spatial scales the environmental context of decomposing litter mixtures, including microarthropod communities, determine the decomposition of litter mixtures besides strong litter trait based effects.</p>
Arbuscular mycorrhizal symbiosis increases P uptake and productivity of mixtures of maize varieties compared to monocultures
<p>Ecological intensification seeks to achieve crop yield increases through intensifying complementary or facilitative interactions between plant species or varieties. Different species of arbuscular mycorrhizal fungi (AMF) exhibit niche differentiation and show selectivity towards certain plants, which can further enhance complementarity. It is not clear whether in the presence of one AMF species, where mycelial networks connect crop species, opportunities for complementarity effects may be reduced.</p> <p>We grew monocultures and mixtures of maize varieties in a greenhouse with one species of AMF, Funneliformis mosseae, during two consecutive years to investigate whether under such conditions the mycorrhizal symbiosis would affect complementarity and overyielding compared to non-mycorrhizal plants.</p> <p>Variety mixtures showed increased phosphatase activity and mycorrhizal colonization, enhanced P-uptake and overyielding when plants were mycorrhizal. There was no overyielding when plants were non-mycorrhizal. The increase in relative yield total was due to complementarity effects.</p> <p>Our data show that the magnitude of mycorrhiza-induced overyielding in maize variety mixtures can be similar to that reported for plant species mixtures. Our study implies that appropriate agricultural management that enhances the mycorrhizal fungal contribution to ecosystem services may result in overyielding in yield or P uptake through mixing varieties of one crop species.</p>
Physiological effects of developmental exposure to flame retardant mixture Firemaster 550 or it's components
<p><span>Firemaster 550 (FM550) is a flame retardant (FR) mixture which has become one of the most commonly used FRs in household items such as foam-based furniture and baby products. Because this mixture readily leaches from products, contamination of the environment and human tissues is widespread. Prior work by us and others </span>has reported sex-specific behavioral deficits in rodents and zebrafish following early life exposure. In an effort to understand the mechanisms by which these behavioral effects occur, here we explored the effects of its constituents on behavioral outcomes previously shown to be altered by developmental FM550 exposure. <span>The FM550 commercial mixture is composed of </span>two brominated compounds (BFR) and two organophosphate compounds (OPFRs) at almost equivalent proportions. Both the BFR and the OPFR components are differentially metabolized and structurally distinct, but similar to known neurotoxicants. Here we examined adult Wistar rat offspring socioemotional behaviors following perinatal exposure (oral, to the Dam) to vehicle, 2000 µg/day FM550, 1000 µg/day BFR or 1000 µg/day OPFR from gestation day 0 to weaning. Beginning on postnatal day 65 offspring from all groups were subjected to a series of behavioral tasks including open field, elevated plus maze, marble burying, social interaction tests, and running wheel. Effects were exposure-, sex- and task-specific, with BFR exposure resulting in the most consistent behavioral deficits. Overall, exposed females showed more deficits compared to males across all dose groups and tasks. These findings help elucidate how different classes of flame retardants, independently and as a mixture, contribute to sex-specific behavioral effects of exposure.</p>
Random gas mixtures for efficient gas sensor calibration: Dataset
<p>The dataset was created at the Lab for Measurement Technology (Saarland University). It consists the raw signals (proportional to the logarithmic conductance) of two temperature-modulated semiconductor metaloxide gas sensors (ScioSense AS-MLV and AS-MLV-P2, former AppliedSensor, ams).</p> <p>An exact description of the measurement setup and its results can be found in the open access article:</p> <p>Baur, T., Bastuck, M., Schultealbert, C., Sauerwald, T., and Schütze, A.: Random gas mixtures for efficient gas sensor calibration, J. Sens. Sens. Syst., 9, 411–424, 2020, https://doi.org/10.5194/jsss-9-411-2020</p> <p><strong>Dataset:</strong><br> The mat-file comprises diffrent datasets:</p> <ul> <li><strong>as_mlv: </strong>raw signal (~ logarithmic conductance) of the AS-MLV containing 12202 sensor cycles with 12000 data points (@ 100 Hz)</li> <li><strong>as_mlv_p2: </strong>raw signal (~ logarithmic conductance) of the AS-MLV-P2 containing 12202 sensor cycles with 12000 data points (@ 100 Hz)</li> <li><strong>as_mlv_targets and as_mlv_p2_targets:</strong> <ul> <li><strong>acetone: </strong>acetone concentration in ppb</li> <li><strong>benzene</strong>: benzene concentration in ppb</li> <li><strong>formaldehyde</strong>: formaldehyde concentration in ppb, NaN values are undefined formaldehyde concentrations</li> <li><strong>toluene</strong>: toluene concentration in ppb</li> <li><strong>carbon_monoxide</strong>: carbon monoxide concentration in ppb</li> <li><strong>hydrogen</strong>: hydrogen concentration in ppb</li> <li><strong>humidity</strong>: relative humidity in %RH</li> <li><strong>voc_sum_ppb: </strong>sum of all VOC concentations (acetone, toluene, formaldehyde, benzene) in ppb </li> <li><strong>voc_sum_ugm3: </strong>sum of all VOC concentations (acetone, toluene, formaldehyde, benzene) in µg/m<sup>3</sup></li> <li><strong>count</strong>: number of the gas mixture exposure, each gas mixture exposure contains approx.10 sensor cycles</li> <li><strong>measurement</strong>: number of the measurement, each measurement contains approx.100 gas exposures</li> <li><strong>ranges</strong>: marked cycles for the data evaluation with group number</li> </ul> </li> </ul> <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.