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828 results for “species trait”
Figure 5 from: DeWalt R, Cao Y, Tweddale T, Grubbs S, Hinz L, Pessino M, Robinson J (2012) Ohio USA stoneflies (Insecta, Plecoptera): species richness estimation, distribution of functional niche traits, drainage affiliations, and relationships to other states. ZooKeys 178: 1-26. https://doi.org/10.3897/zookeys.178.2616
Figure 5 - Species richness of Ohio Plecoptera in 5 increment occurrence classes.
Figure 4 from: DeWalt R, Cao Y, Tweddale T, Grubbs S, Hinz L, Pessino M, Robinson J (2012) Ohio USA stoneflies (Insecta, Plecoptera): species richness estimation, distribution of functional niche traits, drainage affiliations, and relationships to other states. ZooKeys 178: 1-26. https://doi.org/10.3897/zookeys.178.2616
Figure 4 - Singleton and doubleton species richness.
Figure 1 from: DeWalt R, Cao Y, Tweddale T, Grubbs S, Hinz L, Pessino M, Robinson J (2012) Ohio USA stoneflies (Insecta, Plecoptera): species richness estimation, distribution of functional niche traits, drainage affiliations, and relationships to other states. ZooKeys 178: 1-26. https://doi.org/10.3897/zookeys.178.2616
Figure 1 - HUC6 drainages and point locations for Ohio Plecoptera collections.
Figure 6 from: DeWalt R, Cao Y, Tweddale T, Grubbs S, Hinz L, Pessino M, Robinson J (2012) Ohio USA stoneflies (Insecta, Plecoptera): species richness estimation, distribution of functional niche traits, drainage affiliations, and relationships to other states. ZooKeys 178: 1-26. https://doi.org/10.3897/zookeys.178.2616
Figure 6 - Species richness of Ohio Plecoptera families.
Figure 3 from: DeWalt R, Cao Y, Tweddale T, Grubbs S, Hinz L, Pessino M, Robinson J (2012) Ohio USA stoneflies (Insecta, Plecoptera): species richness estimation, distribution of functional niche traits, drainage affiliations, and relationships to other states. ZooKeys 178: 1-26. https://doi.org/10.3897/zookeys.178.2616
Figure 3 - Ohio Plecoptera species richness, actual vs. predicted.
Data from: Intraspecific variations in life history traits of two pecky rice bug species from Japan: mapping emergence dates and number of annual generations
<p>The mirid bugs Stenotus rubrovittatus and Trigonotylus caelestialium, which cause pecky rice, have become a threat to rice cultivation in Asia. Damage caused by these pests has rapidly become frequent since around 2000 in Japan. Their expansion pattern is not simple, and predicting their future spread remains challenging. Some insects with wide ranges have locally adapted variations in life-history traits. We performed laboratory rearing experiments to assess the geographical scale of intraspecific variations in life-history traits of S. rubrovittatus and T. caelestialium. The experiments were aimed at increasing the accuracy of occurrence estimates and the number of generations per year. These results were compared with previous research, and differences in development rates were observed between populations of different latitudes, but not of the same latitude. Finally, plotting the timing of adult emergence and the potential number of generations per year on maps with a 5-km grid revealed that they differed greatly locally at the same latitude. These maps can be used for developing more efficient methods of managing mirid bugs in integrated pest management.</p>
Data from: Meta-analysis reveals that hydraulic traits explain cross-species patterns of drought-induced tree mortality across the globe
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Data from: A framework for detecting natural selection on traits above the species level
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Data from: Genetic architecture of quantitative flower and leaf traits in a pair of sympatric sister species of Primulina
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Data from: Additive genetic variation in resistance traits of an exotic pine species: little evidence for constraints on evolution of resistance against native herbivores
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Data from: How weather instead of urbanity measures affects song trait variability in three European passerine bird species
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Data from: Intraspecific variations in life history traits of two pecky rice bug species from Japan: mapping emergence dates and number of annual generations
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Data from: Partially incorrect fossil data augment analyses of discrete trait evolution in living species
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Continuous-trait probabilistic model for comparing multi-species functional genomic data
GEO Series GSE111733. Nomascus leucogenys; Pan troglodytes; Pongo pygmaeus; Chlorocebus aethiops; Homo sapiens. 5 samples. Type: Other.
FIGURE 6 in Discrimination of Uranotaenia species (Diptera: Culicidae) from Madagascar based on morphology and wing morphometric traits
FIGURE 6. Scatter plots from the principle component analysis of morphometric data for wings of Uranotaenia species. Squares represent the mean centroid size for each species and group. X = from -0.075 to 0.037; Y = from -0.029 to 0.059.
FIGURE 4 in Discrimination of Uranotaenia species (Diptera: Culicidae) from Madagascar based on morphology and wing morphometric traits
FIGURE 4. Mean coordinates of landmark points on the wings of Uranotaenia species. X = from -0272 to 0.689; Y = from -0.109 to 0.098. ANR, Anorana forest; MMZ, Maromizaha forest.
FIGURE 3 in Discrimination of Uranotaenia species (Diptera: Culicidae) from Madagascar based on morphology and wing morphometric traits
FIGURE 3. Uranotaenia sp1. (A) Lateral view of the thorax showing the two dark transverse bands; (B) male genitalia showing the strongly hooked aedeagus (Ae).
Fig. 4 in A species-level trait dataset of bats in Europe and beyond
Fig. 4 Representativeness of the EuroBaTrait 1.0 dataset. Summary of the 13 trait categories included in the trait dataset and their coverage in terms of number of traits included under the category, number of species and genera with data for at least one of the traits under the category, number of countries with data for at least one trait under the category (regional or global data were not included in these calculations), number of samples (individuals, calls or nights) used to generate values for the traits, and number of data sources on which the trait values are based.
FIGURE 8 in The highly divergent New World Artemia species (Branchiopoda, Anostraca), A. franciscana and A. persimilis, show subtle differences in morphological traits involved in mating
FIGURE 8. Frontal knob variants in A. franciscana from El Convento (A, B) and Pichilemu (C–E), central Chile.
FIGURE 7 in The highly divergent New World Artemia species (Branchiopoda, Anostraca), A. franciscana and A. persimilis, show subtle differences in morphological traits involved in mating
FIGURE 7. Interpopulation variation in frontal knob morphology. A. franciscana from Chaxa (A), Los Vilos (B) and Rinconada (C); A. persimilis from Torres del Paine (D) and Cisnes lagoone (E).
ScienceDex guides
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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.