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294 results for “temporal pattern”
Figure 5 in Multi-scale patterns in the host specificity of plant-dwelling arthropods: the influence of host plant and temporal variation on species richness and assemblage composition of true bugs (Hemiptera)
Figure 5. Annual cyclic pattern of the proportion of the effectively specialized fauna (squares) and singleton species (circles) for the total number of hemipteran species from each sampling period.
Figure 3 in Multi-scale patterns in the host specificity of plant-dwelling arthropods: the influence of host plant and temporal variation on species richness and assemblage composition of true bugs (Hemiptera)
Figure 3. Mean number of individuals (from SIMPER analysis) of dominant hemipteran species, during each sampling period, for most plant species.
Figure 1 in Multi-scale patterns in the host specificity of plant-dwelling arthropods: the influence of host plant and temporal variation on species richness and assemblage composition of true bugs (Hemiptera)
Figure 1. Interactions between plant species sampled and sampling period for (A) abundance (number of individuals) per plant and (B) species richness per plant (standard error bars are shown).
Figure 6 in Multi-scale patterns in the host specificity of plant-dwelling arthropods: the influence of host plant and temporal variation on species richness and assemblage composition of true bugs (Hemiptera)
Figure 6. Relationship between the effectively specialized fauna (squares) and singleton species (circles) for the number of hemipteran species from each sampling period and for the entire collection. An exponential decay equation is fitted for effectively specialized fauna, y = 2.973∗ exp (−0.00575∗ x) + (−1.478), R2 = 0.7598, and for singleton species, y = 22.53∗exp (−0.08466∗x) + 0.2614, R2 = 0.9873.
FIG. 4 in Spatial and temporal patterns of territorial mate locating behaviour in Hypolimnas bolina (L.) (Lepidoptera: Nymphalidae)
FIG. 4. The relationship between counts of territorial males and the minimum vegetative corridor width in 10 m segments along both transect 1 (solid triangles) and transect 2 (open squares).
FIG. 2 in Spatial and temporal patterns of territorial mate locating behaviour in Hypolimnas bolina (L.) (Lepidoptera: Nymphalidae)
FIG. 2. Diel patterns of territorial male residence along transect 1 (open squares, solid line) and transect 2 (solid squares, dotted line). The error bars represent Ô1 standard error of sample means, and the ®tted lines are weighted least squares approximations calculated by the STATISTICATM computer program. Sample sizes are given above each hourly point.
FIG. 5 in Spatial and temporal patterns of territorial mate locating behaviour in Hypolimnas bolina (L.) (Lepidoptera: Nymphalidae)
FIG. 5. Representation of hypothetical population-level activity curves derived from simple models of the timing of individual behaviour. Curve A (solid line) represents a population of individuals that arrive at 0900 h and stay for 6 h, curve B (dashed line) represents a population of individuals that arrive at 0900 h and stay for varying times, whilst curve C (dotted line) represents a population of males that arrive at various times but each stay for 3 h.
FIG. 3 in Spatial and temporal patterns of territorial mate locating behaviour in Hypolimnas bolina (L.) (Lepidoptera: Nymphalidae)
FIG. 3. Spatial distribution of territorial males along the length of both transects, with the distribution of the larval food plant species C. cyanea (a), I. triloba (b) and S. nodiXora (c) indicated in the bars above each plot. Transect segments that contained outcrops of ¯owering W. trilobata are indicated by arrows (n 579 for all transect segments).
Fig. 2. Study site. a in Temporal Occurrence Patterns of Chrysomelidae (Coleoptera) on the Universiti Malaysia Sabah Campus, Borneo
Fig. 2. Study site. a) Secondary forest, b) Ipomoea pes-caprae-dominated land with coconut palms, sea-oak trees, and Singapore almond trees, c) Abandoned crop field with bananas and grass, d) UMS campus.
Fig. 5 in Temporal Occurrence Patterns of Chrysomelidae (Coleoptera) on the Universiti Malaysia Sabah Campus, Borneo
Fig. 5. Monthly occurrence of Type III and Type IV species across the study period. Shaded areas indicate months when at least one adult specimen was collected, and unshaded areas indicate months when no adults were collected.
Fig. 4 in Temporal Occurrence Patterns of Chrysomelidae (Coleoptera) on the Universiti Malaysia Sabah Campus, Borneo
Fig. 4. The proportions of chrysomelid species that appeared once during the study period (Type I), 2−11 times (Type II), 12−29 times (Type III), and 30−34 times (Type IV).
Fig. 1 in Temporal Occurrence Patterns of Chrysomelidae (Coleoptera) on the Universiti Malaysia Sabah Campus, Borneo
Fig. 1. Study site. Dashed line outlines surveyed area. The upper figure is based on an ArcGIS basemap. a = secondary forest; b = area dominated by Ipomoea pes-caprae, coconut palms, sea-oak trees, and Singapore almond trees; c = abandoned crop field with bananas and grass; and d = UMS campus.
Supporting data for: Investigating conifer water use patterns across temporal and topographic gradients in the southern Sierra Nevada
<p>Access to a reliable water source plays an integral role in tree function and survival. Water is a critical component of tree physiological processes, with trees that experience water stress exhibiting lower stomatal conductance (Irvine et al. 1998, Panek and Goldstein 1999), reduced photosynthetic and growth rates (Grieu et al. 1988, DeLucia and Heckathorn 1989, Adams and Kolb 2005, Truettner et al. 2018), and increased risk of hydraulic failure (Brodribb and Cochrad 2009, Anderegg and Anderegg 2013). As droughts increase in frequency, severity, and duration globally (Allen et al. 2015), access to a reliable water source such as deep soil water or water stored in fractured bedrock (i.e, hydraulic refugia) may dictate how trees respond to periods of water stress (McDowell et al. 2019). For example, studies in the southwestern United States have indicated that trees with access to deeper, more reliable water sources experience lower rates of mortality during drought periods (Grossiord et al. 2017, McDowell et al. 2019). While the effect of water availability on tree function and survival is well studied, whether the primary water source used by trees varies through time and across topographic gradients remains poorly understood. Understanding variability in tree water use patterns may provide insight to how forests will respond to increasing water stress under climate change.</p>
Analysis of the Vascular Pattern of the Superficial Temporal Artery
ClinicalTrials.gov study NCT02096497. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Data from: Human disturbance and the activity patterns and temporal overlap of tapirs and jaguars in reserves of NW Belize.
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Data from: Revisiting the provenance delineation of a widespread shrub, Frangula alnus—the role of spatial, temporal and environmental patterns
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Data from: Defining spatial and temporal patterns of phylogeographic structure in Madagascar's iguanid lizards (Genus Oplurus)
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Data from: Multi-scale temporal patterns in fish presence in a high-velocity tidal channel
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Data from: Spatial and temporal patterns of frugivorous Hornbill movements in Central Africa and their implications for rain forest conservation
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Data from: Exploring temporal patterning of psychological skills usage during the week leading up to competition: lessons for developing intervention programmes
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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)
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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.