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2,967 results for “secondary”
Data from: Predicting regional carbon price in China based on multi-factor HKELM by combining secondary decomposition and ensemble learning
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The role of secondary pollinators in the evolution of complex colour signals in a bimodal pollination system
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Plant secondary metabolite increases the control-effectiveness of natural enemy - based on caffeine and Snellenius manilae
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Data from: Steatotic liver disease induced by TCPOBOP-activated hepatic constitutive androstane receptor: Primary and secondary gene responses with links to disease progression
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Scripts from: Inversions and genomic differentiation after secondary contact: When drift contributes to maintenance, not loss, of differentiation
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Light-demanding tree species are more susceptible to lianas than shade-tolerant tree species in a subtropical secondary forest
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Reticulate evolution and rapid development of reproductive barriers upon secondary contact in a forest fungus
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Data from: An Early Devonian actinostelic euphyllophyte with secondary growth from the Emsian of Gaspé (Canada) and the importance of tracheid wall thickening patterns in early euphyllophyte systematics
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Regime shift in secondary inorganic aerosol formation and nitrogen deposition in the rural US
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Data for: Secondary nectar robbing by Lycaenidae and Riodinidae: opportunistic but not infrequent
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Secondary brown carbon from photooxidation of 1-methylnaphthalene and longifolene
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Fruit secondary metabolites alter the quantity and quality of a seed dispersal mutualism
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Effects of the VACES particle concentrator on secondary organic aerosol and ambient particle composition
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Dataset for "Predicting the influence of particle size on the glass transition temperature and viscosity of secondary organic material"
<p>The archive file predictingInfluenceParticleSize2020.zip contains scripts and data to generate the figures in the manuscript. Datafiles are in the src/Data folder. Scripts are written in the Julia language. </p> <p>The file predicting_influence_particle2020.tar.gz contains a Docker container. The docker container is a virtual machine that contains all software and dependencies needed to execute the code. The freely available Docker engine must be installed on the local computer (https://docs.docker.com/install/). To install the container run</p> <p>docker load < predicting_influence_particle2020.tar.gz</p> <p>It can be started through the command:</p> <p>docker run -it -p 8888:8888 mdpetters/predicting_influence_particle2020:final</p> <p>Please refer to the supplement of the paper for further instructions.</p>
Data from: Heritable variation in root secondary metabolites is associated with recent climate
<p>1. Plants can adapt to changing environments by adjusting the production and maintenance of diverse sets of bioactive secondary metabolites. To date, the impact of climatic conditions relative to other factors such as soil abiotic factors and herbivore pressure on the evolution of plant secondary metabolites is poorly understood, especially for plant roots.</p> <p>2. We explored associations between root latex secondary metabolites in 63 Taraxacum officinale populations across Switzerland and climatic conditions, soil abiotic parameters, root herbivore pressure and cytotype distribution. To assess the contribution of environmental effects, root secondary metabolites were measured in F0 plants in nature and F2 plants under controlled greenhouse conditions.</p> <p>3. Concentrations of root latex secondary metabolites were most strongly associated with climatic conditions, while current soil abiotic factors or root herbivore pressure did not show a clear association with root latex chemistry. Results were similar for natural and controlled conditions, suggesting heritable variation rather than environmental plasticity as underlying factor.</p> <p>4. Synthesis. We conclude that climatic conditions likely play a major role in the evolution of root secondary metabolites. These results may hint at a novel role of root latex metabolites in tolerance of abiotic stress.</p>
Data from: A global estimate of terrestrial net secondary production of primary consumers
Aim: Net Secondary production (NSP) emerges from the consumption of Net Primary Production (NPP) by any heterotrophic organism. There has been sporadic interest in the importance of NSP, but no global estimates have been produced. We revisit NSP and attempt a global estimate using contemporary NPP data combined with modern metabolic scaling theory for consumption rates. We distinguish between potential NSP as the amount of secondary production that could be supported by NPP, and realized NSP as the amount remaining after anthropogenic habitat disruption. Location: Global Time period: 2000-2014 Methods: We present a model of NSP implementing a Type II functional response for consumption rates wherein search efficiency and handling time are calculated based on consumer mass and ambient temperature. We solve this model for each 0.05-decimal-degree pixel in the global terrestrial biosphere using as data inputs NPP (MOD17A3) and land-surface temperature (MOD11C3). We aggregate estimates within global land cover classifications (MCD12C1) to obtain cover-specific and global estimates of NSP. We also correct our estimates based on declines in consumer abundance reported in Living Planet Report 2014. Results: We estimate potential NSP is 4.74 PgCy-1 globally (95%~CI~=~3.75--5.75). When we correct for global consumer population declines, realized NSP declines to 2.37 PgCy-1 (95%~CI~=~1.86--2.89), a loss of 50% in the rate of carbon flux through secondary consumers. Main Conclusions: Our estimates are sufficient to suggest that the flux of carbon through consumers is of a similar magnitude to many other fluxes critical to the global carbon cycle. We view this as a hypothesis to be tested that suggests NSP deserves significantly more attention in earth systems, macroecology, and biogeochemical research.
Data from: Comparing biocontrol and herbicide for managing an invasive non-native plant species: efficacy, non-target effects and secondary invasion
<p>1. Globally, invasive non-native plants are an increasing threat to indigenous biodiversity and ecosystems, but management can be compromised by poor efficacy of control methods, harmful non-target effects or secondary invasions by other non-native plant species.</p> <p>2. A 5-year field trial compared two stakeholder-selected control methods for heather, a European plant invading native ecosystems in and adjoining Tongariro National Park in New Zealand. The control methods were a selective herbicide (Pasture Kleen®; 2,4-D ester) and biocontrol with an introduced beetle Lochmaea suturalis (Coleoptera: Chrysomelidae).</p> <p>3. Biocontrol reduced mean heather cover by 97%, slightly more than herbicide at 87%, compared with a 20% increase in heather under no management.</p> <p>4. Cover of native dicots, the most species-rich plant group, increased following biocontrol. In contrast, herbicide application had major non-target effects on native dicots, reducing their percentage cover and species richness. Native monocot cover and species richness increased following both herbicide and biocontrol treatments.</p> <p>5. A similar 8-fold increase in non-native monocots occurred following both biocontrol and herbicide treatments. Overall, secondary invasion was greatest with biocontrol because non-native dicot cover also increased, whereas herbicide almost eliminated non-native dicots. 6. Synthesis and applications. Biocontrol and herbicide treatments both controlled heather but herbicide application was associated with severe non-target impacts on native dicots. Benefits to the native flora were consequently greatest in the biocontrol treatment, despite greater secondary invasion. Control strategies for management of widespread non-native plants to optimize ecosystem outcomes should include more consideration of biocontrol.</p>
Data from: Control of adaptive action selection by secondary motor cortex during flexible visual categorization
<p>Adaptive action selection during stimulus categorization is an important feature of flexible behavior. To examine neural mechanism underlying this process, we trained mice to categorize the spatial frequencies of visual stimuli according to a boundary that changed between blocks of trials in a session. Using a model with a dynamic decision criterion, we found that sensory history was important for adaptive action selection after the switch of boundary. Bilateral inactivation of the secondary motor cortex (M2) impaired adaptive action selection by reducing the behavioral influence of sensory history. Electrophysiological recordings showed that M2 neurons carried more information about upcoming choice and previous sensory stimuli when sensorimotor association was being remapped than when it was stable. Thus, M2 causally contributes to flexible action selection during stimulus categorization, with the representations of upcoming choice and sensory history regulated by the demand to remap stimulus-action association.</p>
Secondary contact zones of closely-related Erebia butterflies overlap with narrow phenotypic and parasitic clines
Zones of secondary contact between closely related taxa are a common legacy of the Quaternary ice ages. Despite their abundance, the factors that keep species apart and prevent hybridisation are often unknown. Here we study a very narrow contact zone between three closely related butterfly species of the Erebia tyndarus species complex. Using genomic data, we first determined if gene flow occurs and then assessed whether it might be hampered by differences in chromosome number between some species. We found interspecific gene flow between sibling species that differ in karyotype by one chromosome. Conversely, only F1 hybrids occurred between two species that have the same karyotype, forming a steep genomic cline. In a second step, we fitted clines to phenotypic, ecological and parasitic data to identify the factors associated with the genetic cline. We found clines for phenotypic data and the prevalence of the endosymbiont parasite Wolbachia to overlap with the genetic cline, suggesting that they might be drivers for separating the two species. Overall our results highlight that some gene flow is possible between closely-related species despite different chromosome numbers, but that other barriers restrict such gene flow.
Genome-wide patterns of divergence and introgression after secondary contact between Pungitius sticklebacks
<p>Speciation is a continuous process. Although it is known that differential adaptation can initiate divergence even in the face of gene flow, we know relatively little about the mechanisms driving complete reproductive isolation and the genomic patterns of divergence and introgression at the later stages of speciation. Sticklebacks contain many pairs of sympatric species differing in levels of reproductive isolation and divergence history. Nevertheless, most previous studies have focused on young species pairs. Here, we investigated two sympatric stickleback species, <i>Pungitius pungitius </i>and <i>P. sinensis</i>, whose habitats overlap in eastern Hokkaido; these species show hybrid male sterility, suggesting that they may be at a late stage of speciation. Our demographic analysis using whole genome sequence data showed that these species split 1.73 million years ago and came into secondary contact 37,200 years ago after a period of allopatry. This long period of allopatry might have promoted the evolution of intrinsic incompatibility. Although we detected on-going gene flow and signatures of introgression, overall genomic divergence was high, with considerable heterogeneity across the genome. The heterogeneity was significantly associated with variation in recombination rate. This sympatric pair provides new avenues to investigate the late stages of the stickleback speciation continuum.</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.