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829 results for “functional response”
A comparison of the World Health Organisation's HEAT model results using a non-linear physical activity dose response function with results from the existing tool
<p>Datasets relating to the Wellcome Open Research publication of the same name.</p>
Figure 1 in Functional response of the predatory mite, Typhlodromus bagdasarjani (Acari: Phytoseiidae) to protonymphs of Eotetranychus frosti (Acari: Tetranychidae) on four apple cultivars
Figure 1 The functional responses curves of adult females of Typhlodromus bagdasarjani to different densities ofEotetranychus frosti protonymphs on four apple cultivars.
Figure 4 in Daily consumption and functional response of Stethorus gilvifrons (Coleoptera: Coccinellidae) and Orius albidipennis (Hemiptera: Anthocoridae) to Tetranychus urticae (Acari: Tetranychidae)
Figure 4. Proportion of T. urticae eggs consumed by adults of: a) O. albidipennis, b) S. gilvifrons, when provided by different prey densities.
Figure 3 in Daily consumption and functional response of Stethorus gilvifrons (Coleoptera: Coccinellidae) and Orius albidipennis (Hemiptera: Anthocoridae) to Tetranychus urticae (Acari: Tetranychidae)
Figure 3. Proportion of T. urticae eggs consumed by immatures of: a) O. albidipennis, b) S. gilvifrons, when provided by different prey densities.
Figure 2 in Daily consumption and functional response of Stethorus gilvifrons (Coleoptera: Coccinellidae) and Orius albidipennis (Hemiptera: Anthocoridae) to Tetranychus urticae (Acari: Tetranychidae)
Figure 2. Proportion of T. urticae protonymphs consumed by different life stages of: a) O. albidipennis, b) S. gilvifrons, when provided by different prey densities.
Figure 1 in Daily consumption and functional response of Stethorus gilvifrons (Coleoptera: Coccinellidae) and Orius albidipennis (Hemiptera: Anthocoridae) to Tetranychus urticae (Acari: Tetranychidae)
Figure 1. Proportion of T. urticae females consumed by different life stages of: a) O. albidipennis, b) S. gilvifrons, when provided by different prey densities.
Figure 1 in Functional response and predation rate of Amblyseius swirskii (Acari: Phytoseiidae) at three constant temperatures
Figure 1. Functional response of Amblyseius swirskii to eggs of Tetranychus urticae at 25 (A), 30 (B) and 35°C (C).
Figure 1. Response curves for percent acetyl-coenzyme A in Detecting the effect of ACCase-targeting herbicides on ACCase activity utilizing a malachite green colorimetric functional assay
Figure 1. Response curves for percent acetyl-coenzyme A carboxylase (ACCase) activities of resistant and susceptible Digitaria ciliaris biotypes in response to the increasing concentrations of the ACCase-targeting herbicides, sethoxydim, clethodim,fluazifop-p-butyl, and pinoxaden.The response was modeled based on the log rate of ACCase-targeting herbicides to create equal spacing between rates using least-squares fit regression of ACCase activity to the non-treated check. Means are represented by differing symbols for each biotype, and regression equation models are represented by differing line types for each biotype. Vertical bars represent the standard errors of the means (n = 6). Digitaria ciliaris biotypes: R1 and R2, resistant; S, susceptible. The concentration of ACCase-targeting herbicides required to cause 50% inhibition of ACCase activity (IC50) was calculated from concentration-response curves. CI, confidence interval.
Data from: Measuring leaf and root functional traits uncovers multidimensionality of plant responses to arbuscular mycorrhizal fungi
<p>Premise of the study While many studies have measured the aboveground responses of plants to mycorrhizal fungi at a single time point, little is known about how plants respond belowground or across time to mycorrhizal symbiosis. By measuring belowground responses as well as growth over time in many plant species, we create a more complete picture of how mycorrhizal fungi benefit their hosts. Methods We grew 26 prairie plant species with and without mycorrhizal fungi and measured fourteen functional traits measuring above and belowground tissue quality and quantity responses and changes in resource allocation. We used function-value trait (FVT) modeling to characterize changes in species growth rate when colonized. Key results While aboveground biomass responses were positive, the response of traits belowground were much more variable. Changes in aboveground biomass accounted for 60.8% of the variation in mycorrhizal responses, supporting the use of aboveground biomass response as the primary response trait. Responses belowground were not associated with aboveground responses and accounted for 18.3% of the variation. Growth responses over time were highly variable across species. Interestingly, none of the measured responses were phylogenetically conserved. Conclusions Mycorrhizal fungi increase plant growth in most scenarios, but the effects of these fungi belowground and across time are more complicated. This study highlights how differences in plant allocation priorities might affect how they utilize the benefits from mycorrhizal fungi. Identifying and characterizing these differences is a key step to understanding the effects of mycorrhizal mutualisms on whole plant physiology. </p>
Fig. 2. Type II in Effect of temperature on functional response of Aphidius gifuensis (Hymenoptera: Braconidae) parasitizing Myzus persicae (Hemiptera: Aphididae)
Fig. 2. Type II functional response curves fitted by Roger's random parasitoid equation (RRPE) of Aphidius gifuensis against Myzus persicae at various temperatures.
Fig. 1. Type II in Effect of temperature on functional response of Aphidius gifuensis (Hymenoptera: Braconidae) parasitizing Myzus persicae (Hemiptera: Aphididae)
Fig. 1. Type II functional response curves fitted by Holling's disc equation (HDE) of Aphidius gifuensis against Myzus persicae at various temperatures.
Questionnaire, R Scripts and Response Data Set of the Survey on Functionally Similar Code Clones
<p>In 2017, we conducted an open online survey regarding functionally similar code clones with practitioners. We make the used questionnaire, the data from the response to the questionnaire and our used R script for the analysis openly available.</p>
Response of wild bee diversity, abundance and functional traits to vineyard inter-row management intensity and landscape diversity across Europe
<p>Data set used for analyses in the publication "Response of wild bee diversity, abundance and functional traits to vineyard inter-row management intensity and landscape diversity across Europe".</p> <p>First sheet in the Excel-file gives a detailed description of the abbreviations, terms etc. used in the following tables. Please also check the method section in the publication for the detailed description on how data were collected.</p> <p>If you have any questions feel free to contact Sophie Kratschmer via e-mail</p>
Fig. 6 in Predation functional response and life table parameters of Orius sauteri (Hemiptera: Anthocoridae) feeding on Megalurothrips usitatus (Thysanoptera: Thripidae)
Fig. 6. Age-stage predation rate (cxj) of Orius sauteri on the age-stage, 2-sex life table at 26 °C.
Fig. 3 in Predation functional response and life table parameters of Orius sauteri (Hemiptera: Anthocoridae) feeding on Megalurothrips usitatus (Thysanoptera: Thripidae)
Fig. 3. Relationship between density of Orius sauteri adults and intensity of scramble competition (I) on Megalurothrips usitatus adults.
Fig. 2 in Predation functional response and life table parameters of Orius sauteri (Hemiptera: Anthocoridae) feeding on Megalurothrips usitatus (Thysanoptera: Thripidae)
Fig. 2. Relationship between search rate of Orius sauteri adults and density of Megalurothrips usitatus adults at 26 °C.
Fig. 7 in Predation functional response and life table parameters of Orius sauteri (Hemiptera: Anthocoridae) feeding on Megalurothrips usitatus (Thysanoptera: Thripidae)
Fig. 7. Age-specific survival rate (lx), predation rate (kx), and age-specific net predation rate of Orius sauteri on Megalurothrips usitatus using the age-stage, 2-sex life table.
Fig. 5 in Predation functional response and life table parameters of Orius sauteri (Hemiptera: Anthocoridae) feeding on Megalurothrips usitatus (Thysanoptera: Thripidae)
Fig. 5. Age-specific survival rate (lx), and age-specific fecundity (mx) of Orius sauteri on Megalurothrips usitatus at 26 °C.
FIGURE 3 in Functional responses of stream fish communities to rural and urban land uses
FIGURE 3 | Flowchart of analysis. Biomass and dummy traits matrices were combined to produce functional diversity (FD) indices (FRic = functional richness, FEve = functional evenness, FDiv = functional divergence and FDis = functional dispersion) and community weight mean traits (CWM) matrices. The influences of land use/occupation (Soil matrix) over FD indices were evaluated through Pearson's correlations and over CWM through redundance analysis (RDA) and Pearson's correlations.
FIGURE 4 in Functional responses of stream fish communities to rural and urban land uses
FIGURE 4 | Ordination scores of community-weighted means (CWMs) of traits (gray bars) and proportions of land use/occupation (arrows: biplot scores for constraining variables along of the first principal axis of the redundancy analysis – RDA1) applied to 24 streams sampled in the state of Paraná, Brazil.
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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.