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154 results for “local structure”
Imaging the atomic structure and local chemistry of platelets in natural type Ia diamond
<p>The upload contains raw data for the manuscript entitled "Imaging the atomic structure and local chemistry of platelets in natural type Ia diamond" accepted for publication in Nature Materials.</p>
Research data for: "Band Structure Interpolation using Optimized Local Orbitals from Linear-Scaling Density-Functional Theory"
<p>This file was created by Laura E. Ratcliff on 23rd March 2018. It contains the input files employed for the ONETEP and CASTEP calculations in the above publication.</p> <p>Directory Listing:</p> <p>castep/</p> <p>Contains the input files used to generate the CASTEP reference data.</p> <p>onetep/</p> <p>Contains the input files used to generate all of the ONETEP data, where filenames are labelled with the number of repeat CNT units, val (cond) indicates a valence (conduction) calculation and the suffixes follow a similar labelling convention to that employed in the manuscript.</p>
FIGURES 12–40. Selenocephalus obsoletus from different localities, male genitalia. 12–24 in Taxonomic structure and variability of Selenocephalus obsoletus (Germar, 1817) (Auchenorrhyncha: Cicadellidae: Deltocephalinae: Selenocephalini)
FIGURES 12–40. Selenocephalus obsoletus from different localities, male genitalia. 12–24—penis, lateral view; 25–31— anal tube process; 32–40—pygofer process. 12–15, 25–26, and 32–34—males from Western Europe (S. obsoletus obsoletus); 16–17—S. rossicus rossicus Zachvatkin, 1945, paralectotypes; 18—S. rossicus tesquicola Zachvatkin, 1945, lectotype; 19–24, 27–31, and 35–40—males from Bulgaria, European Russia, and Caucasus (S. obsoletus rossicus).
FIGURES 1–11. Selenocephalus obsoletus from different localities, dorsal view. 1–3 in Taxonomic structure and variability of Selenocephalus obsoletus (Germar, 1817) (Auchenorrhyncha: Cicadellidae: Deltocephalinae: Selenocephalini)
FIGURES 1–11. Selenocephalus obsoletus from different localities, dorsal view. 1–3—specimens from Western Europe (S. obsoletus obsoletus); 4–8—specimens from Bulgaria, European Russia, and Caucasus (S. obsoletus rossicus); 9—S. rossicus rossicus Zachvatkin, 1945, lectotype; 10—S. rossicus tesquicola Zachvatkin, 1945, lectotype; 11—same, paralectotype.
Fig. 3 in Structure and Composition of Dung Beetle Assemblages (Coleoptera: Scarabaeidae) in a Livestock Ranch in Central Uruguay: Responses of Functional Groups and Species to Local Habitats and Trophic Resources
Fig. 3. Dominance/diversity curves based on a) abundance and b) biomass of the dung beetle species of Scarabaeidae in three habitats in Puntas de Sauce Maciel, Florida, Uruguay. PHS = pasture on humid soil; PDS = pasture on dry soil; EP = Eucalyptus plantation.
Fig. 1. a in Structure and Composition of Dung Beetle Assemblages (Coleoptera: Scarabaeidae) in a Livestock Ranch in Central Uruguay: Responses of Functional Groups and Species to Local Habitats and Trophic Resources
Fig. 1. a) Sample completeness curves as a function of dung beetle abundance in three study habitats in Puntas de Sauce Maciel, Florida, Uruguay, b) Coverage-based rarefaction (solid lines) and extrapolation (dash above endpoint for PHS) sampling curves for species richness of the dung beetle data from the three habitats. PHS = pasture on humid soil; PDS = pasture on dry soil; EP = Eucalyptus plantation.
Fig. 2 in Structure and Composition of Dung Beetle Assemblages (Coleoptera: Scarabaeidae) in a Livestock Ranch in Central Uruguay: Responses of Functional Groups and Species to Local Habitats and Trophic Resources
Fig. 2. Diversity profiles for dung beetle assemblages in three habitats in Puntas de Sauce Maciel, Florida, Uruguay as a function of Hill numbers (q) with 95% confidence intervals (shaded areas). PHS = pasture on humid soil; PDS = pasture on dry soil; EP = Eucalyptus plantation.
Fig. 4 in Structure and Composition of Dung Beetle Assemblages (Coleoptera: Scarabaeidae) in a Livestock Ranch in Central Uruguay: Responses of Functional Groups and Species to Local Habitats and Trophic Resources
Fig. 4. Detrended correspondence analysis ordination of dung beetle species sampled with baited pitfall traps in three different habitats in Puntas de Sauce Maciel, Florida, Uruguay. PHS = pasture on humid soil; PDS = pasture on dry soil; EP = Eucalyptus plantation.
Data from: Connectivity explains local ant community structure in a Neotropical forest canopy: a large-scale experimental approach
Understanding how habitat structure and resource availability affect local species distributions is a key goal of community ecology. Where habitats occur as a mosaic, variation in connectivity among patches influences both local species richness and composition, and connectivity is a key conservation concern in fragmented landscapes. Similarly, availability of limiting resources frequently determines species co-existence or exclusion. For primarily cursorial arthropods like ants, gaps between neighboring trees are a significant barrier to movement through the forest canopy. Competition for limited resources such as nest sites also promotes antagonistic interactions. Lianas (woody vines) connect normally isolated neighboring tree crowns and often have hollow stems inhabited by ants. We used two large-scale liana removal experiments to determine how connectivity and nest site availability provided by lianas affect arboreal ant species richness, species composition, and β-diversity in a lowland tropical forest in Panama. Removing lianas from a tree crown reduced ant species richness up to 35%, and disproportionately affected species that require large foraging areas. Adding artificial connectivity to trees mitigated the effects of liana removal. Ant colonization of artificial nests was higher (73% occupied) in trees without lianas vs. trees with lianas (28% occupied). However, artificial nests typically were colonized by existing polydomous, resident ant species. As a result, nest addition did not affect ant community structure. Collectively, these results indicate that lianas are important to the maintenance of arboreal ant diversity specifically by providing connectivity among neighboring tree crowns. Anticipated increases in liana abundance in this forest could increase the local (tree-level) species richness of arboreal ants, with a compositional bias toward elevating the density of broad-ranging specialist predators.
Data from: Regional and local patterns of genetic variation and structure in yellow-necked mice − the roles of geographic distance, population abundance and winter severity
The goal of this study, conducted in seven large woodlands and three areas with small woodlots in north-eastern Poland in 2004-2008, was to infer genetic structure in yellow-necked mouse Apodemus flavicollis population and to evaluate the roles of environmental and population ecology variables in shaping the spatial pattern of genetic variation using 768 samples genotyped at 13 microsatellite loci. Genetic variation was very high in all studied regions. The primal genetic subdivision was observed between the northern and the southern parts of the study area, which harboured two major clusters and the intermediate area of highly admixed individuals. The probability of assignment of individual mice to the northern cluster increased significantly with lower temperatures of January and July and declined in regions with higher proportion of deciduous and mixed forests. Despite the detected structure, genetic differentiation among regions was very low. Fine-scale structure was shaped by the population density, whereas higher level structure was mainly shaped by geographic distance. Genetic similarity indices were highly influenced by mouse abundance (which positively correlated with the share of deciduous forests in the studied regions) and exhibited the greatest change between 0 and 1 km in the forests, 0 and 5 km in small woodlots. Isolation by distance pattern, calculated among regions, was highly significant but such relationship between genetic and geographic distance was much weaker, and held the linearity at very fine scale (~1.5 km), when analyses were conducted at individual level.
Binding From both sides: TolR and full-length OmpA bind and maintain the local structure of the E. coli cell wall.
<p>We present a molecular modelling and simulation study of the <em>E. coli </em>cell envelope, with a particular focus on the role of TolR, a native protein of the <em>E. coli </em>inner membrane in interactions with the cell wall. TolR has been proposed to bind to peptidoglycan, but the only structure of this protein thus far is in a conformation in which the putative peptidoglycan binding domain is not accessible. We show that a model of the extended conformation of the protein in which this domain is exposed, binds peptidoglycan largely through electrostatic interactions. Non-covalent interactions of TolR and OmpA with the cell wall, from the inner membrane and outer membrane sides respectively, maintain the position of the cell wall even in the absence of Braun’s lipoprotein. The charged residues that mediate the cell-wall interactions of TolR in our simulations, are conserved across a number of species of Gram-negative bacteria.</p>
Changes in microbial community structure and functioning with elevation are linked to local soil characteristics as well as climatic variables
<p>Mountain forests are important carbon stocks but are threatened by increased insect outbreaks and climate driven forest conversion. Soil microorganisms play an eminent role in nutrient cycling in forests and form the basis of soil food webs. Uncovering the driving factors shaping microbial communities and functioning at mountainsides worldwide is of importance to better understand their dynamics at local and global scales. We investigated microbial communities and their drivers along an elevational gradient of primary forests at Changbai Mountain, China. We analysed substrate-induced respiration and phospholipid fatty acids (PLFA) in litter and two soil layers at seven sites. In the litter layer the increase in microbial biomass (Cmic) as well as in stress indicator ratios with elevation were negatively correlated with Ca concentrations indicating increased nutritional stress in high microbial biomass communities at sites with lower Ca availability. PLFA profiles in litter separated low and high elevations, this was less pronounced in soil, suggesting that leaflitter functions as buffer for soil microbial communities. Annual variations in temperature correlated with PLFA profiles in all layers, while annual variations in precipitation correlated with PLFA profiles in upper soil only. Furthermore, the availability of resources, soil moisture, Ca concentrations and pH structured the microbial communities. Pronounced changes in Cmic and stress indicator ratios in the litter layer between pine dominated (800 – 1100 m) and spruce dominated (1250 – 1700 m) forests indicated a shift in the structure and functioning of microbial communities between forest types. The study highlights strong changes in microbial community structure and functioning along elevational gradients, but also shows that these changes and their driving factors vary between layers. Besides annual variations in temperature and precipitation, carbon accumulation and nitrogen acquisition shape changes in microbial communities with elevation at Changbai Mountain.</p>
You eat what you find – local patterns in vegetation structure control diets of African fungus-growing termites
<p>Fungus-growing termites and their symbiotic <em>Termitomyces</em> fungi are critically important carbon and nutrient recyclers in arid and semiarid environments of sub-Saharan Africa. A major proportion of plant litter produced in these ecosystems is decomposed within nest chambers of termite mounds, where temperature and humidity are kept optimal for the fungal symbionts. While fungus-growing termites are generally believed to exploit a wide range of different plant substrates, the actual diets of most species remain elusive. We studied dietary niches of two <em>Macrotermes</em> species across the semiarid savanna landscape in the Tsavo Ecosystem, southern Kenya, based on carbon (C) and nitrogen (N) stable isotopes in <em>Termitomyces</em> fungus combs. We applied Bayesian mixing models to determine the proportion of grass and woody plant matter in the combs, these being the two major food sources available for <em>Macrotermes</em> species in the region. Our results showed that both termite species, and colonies cultivating different <em>Termitomyces</em> fungi, occupied broad and largely overlapping isotopic niches, indicating no dietary specialization. Including laser scanning derived vegetation cover estimates to the dietary mixing model revealed that the proportion of woody plant matter in fungus combs increased with increasing woody plant cover in the nest surroundings. Nitrogen content of fungus combs was positively correlated with woody plant cover around the mounds and negatively correlated with the proportion of grass matter in the comb. Considering the high N demand of large <em>Macrotermes</em> colonies, woody plant matter seems to thus represent a more profitable food source than grass. As grass is also utilized by grazing mammals, and the availability of grass matter typically fluctuates over the year, mixed woodland-grasslands and bushlands seem to represent more favorable habitats for large <em>Macrotermes</em> colonies than open grasslands.</p>
Supplementary for Slab tearing and lithospheric structures in Luzon island, Philippines: Constraints from P-and S-wave local earthquake tomography
<p>The 3D seismic velocity model of the Northern Philippines was obtained from travel time inversion using LOTOS (Koulakov., 2009). </p> <p>The header of the file is:</p> <p>lon: longitude</p> <p>lat: latitude</p> <p>dep: depth in km</p> <p>vp_abs: absolute P-wave velocity (km/s)</p> <p>vs_abs: absolute S-wave velocity (km/s)</p> <p>dvp: P-wave velocity anomalies (%)</p> <p>dvs: S-wave velocity anomalies (%)</p> <p> </p>
Research data supporting "Dynamic Local Structure in Caesium Lead Iodide: Spatial Correlation and Transient Domains"
<p>This is research data associated with "Dynamic Local Structure in Caesium Lead Iodide: Spatial Correlation and Transient Domains", accepted to Small. </p> <p>The repository contains the trajectories which support the conclusions of the paper, the MLIP parameters, and some additional visualizations.</p>
Localization of Vasculonervous Structures in Tibial Nerve Neuromodulation: a Cross-sectional Study
ClinicalTrials.gov study NCT06196112. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Telemedical, Intersectoral Network as New Digital Health Structure to Measurably Improve the Local Health Care
ClinicalTrials.gov study NCT03137589. IPD Sharing: NO. Countries: 1. Publications: 4.
Data from: Neighbour species richness and local structural variability modulate aboveground allocation patterns and crown morphology of individual trees
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Data from: Lineage divergence, local adaptation across a biogeographic break, and artificial transport, shape the genetic structure in the ascidian Pyura chilensis
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You eat what you find – local patterns in vegetation structure control diets of African fungus-growing termites
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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.