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55 results for “insect abundance”
Data from: A comparative study of insect abundance and reproductive success of barn swallows Hirundo rustica in two urban habitats
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Estimation of the relative abundance of species in artificial mixtures of insects using low-coverage shotgun metagenomics
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Data from: Community- weighted mean plant traits predict small scale distribution of insect root herbivore abundance
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Supplementary material 8 from: Garrido-Sanz L, Senar MÀ, Piñol J (2020) Estimation of the relative abundance of species in artificial mixtures of insects using low-coverage shotgun metagenomics. Metabarcoding and Metagenomics 4: e48281. https://doi.org/10.3897/mbmg.4.48281
: Data type: Excel table
Supplementary material 5 from: Garrido-Sanz L, Senar MÀ, Piñol J (2020) Estimation of the relative abundance of species in artificial mixtures of insects using low-coverage shotgun metagenomics. Metabarcoding and Metagenomics 4: e48281. https://doi.org/10.3897/mbmg.4.48281
: Data type: Excel table
Supplementary material 4 from: Garrido-Sanz L, Senar MÀ, Piñol J (2020) Estimation of the relative abundance of species in artificial mixtures of insects using low-coverage shotgun metagenomics. Metabarcoding and Metagenomics 4: e48281. https://doi.org/10.3897/mbmg.4.48281
: Data type: Excel table
Supplementary material 3 from: Garrido-Sanz L, Senar MÀ, Piñol J (2020) Estimation of the relative abundance of species in artificial mixtures of insects using low-coverage shotgun metagenomics. Metabarcoding and Metagenomics 4: e48281. https://doi.org/10.3897/mbmg.4.48281
: Data type: Excel table
Supplementary material 6 from: Garrido-Sanz L, Senar MÀ, Piñol J (2020) Estimation of the relative abundance of species in artificial mixtures of insects using low-coverage shotgun metagenomics. Metabarcoding and Metagenomics 4: e48281. https://doi.org/10.3897/mbmg.4.48281
: Data type: Excel table
Supplementary material 7 from: Garrido-Sanz L, Senar MÀ, Piñol J (2020) Estimation of the relative abundance of species in artificial mixtures of insects using low-coverage shotgun metagenomics. Metabarcoding and Metagenomics 4: e48281. https://doi.org/10.3897/mbmg.4.48281
: Data type: Excel table
Supplementary material 2 from: Garrido-Sanz L, Senar MÀ, Piñol J (2020) Estimation of the relative abundance of species in artificial mixtures of insects using low-coverage shotgun metagenomics. Metabarcoding and Metagenomics 4: e48281. https://doi.org/10.3897/mbmg.4.48281
: Data type: Excel table
Supplementary material 1 from: Garrido-Sanz L, Senar MÀ, Piñol J (2020) Estimation of the relative abundance of species in artificial mixtures of insects using low-coverage shotgun metagenomics. Metabarcoding and Metagenomics 4: e48281. https://doi.org/10.3897/mbmg.4.48281
: Data type: Boxplot
Data from: Effects of early-season insect herbivory on subsequent pathogen infection and ant abundance on wild cotton (Gossypium hirsutum)
1. Plant induced defences play an important role in mediating interactions between insects and pathogens. Yet, the plant traits underlying these effects, the extended consequences for higher trophic levels (i.e. predators), and the implications for plant growth and reproduction have received little attention. 2. Here we asked whether simulated early insect leaf damage on wild cotton (Gossypium hirsutum) affected subsequent damage by insect leaf chewers and pathogenic fungi, as well as ant abundance. To address the mechanisms behind such effects, we measured plant defensive traits induced by early leaf damage to determine which inducible traits might determine the effects on plant-associates. We also evaluated whether early damage influenced plant growth and flower production, and if such effects were mediated by subsequent insect herbivory or pathogen infection. 3. We show that simulated early leaf damage reduced damage by subsequent leaf-chewing insects, increased plant fungal infections, but did not affect ant abundance. Leaf defensive traits (lignins and pubescence) were significantly induced by early damage and were negatively associated with insect herbivory and infection severity, but did not account for the effects of early leaf damage on either of these subsequent attackers. In addition, ant abundance was not associated with (or accounted for) subsequent herbivory or infection, suggesting they did not confer plant protection. Finally, early leaf damage negatively affected plant growth and flower production and analyses suggested that the effect on the latter was, at least partly, mediated by increased fungal infections. 4. Synthesis: Overall, these findings show that early herbivory determines the outcome of cotton interactions with subsequent attackers, and such effects have an impact on plant growth and flower output.
Figure 2 in Seasonality and abundance of Metamasius callizona (Coleoptera: Dryophthoridae), an invasive insect herbivore, on two species of Tillandsia (Bromeliaceae) in Florida
Figure 2. Tillandsia utriculata is a monocarpic, tank bromeliad with soft, pliant leaves.
Figure 1 in Seasonality and abundance of Metamasius callizona (Coleoptera: Dryophthoridae), an invasive insect herbivore, on two species of Tillandsia (Bromeliaceae) in Florida
Figure 1. Tillandsia fasciculata is a polycarpic bromeliad with tough leaves.
Data from: Effects of early-season insect herbivory on subsequent pathogen infection and ant abundance on wild cotton (Gossypium hirsutum)
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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.