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3,339 results for “heterogeneities”
Data Sets for: Complete Description of the LaCl3-NaCl Melt Structure and the Concept of a Spacer Salt that Causes Structural Heterogeneity
<p>Data Sets for published figures and sample input files for PIM and AIMD simulations in paper <a href="https://doi.org/10.1021/jacs.2c09987">https://doi.org/10.1021/jacs.2c09987</a></p> <p> </p> <p>Complete Description of the LaCl3–NaCl Melt Structure and the Concept of a Spacer Salt That Causes Structural Heterogeneity</p> <p>Matthew S. Emerson, Shobha Sharma, Santanu Roy*, Vyacheslav S. Bryantsev*, Alexander S. Ivanov*, Ruchi Gakhar*, Michael E. Woods, Leighanne C. Gallington, Sheng Dai, Dmitry S. Maltsev, and Claudio J. Margulis*</p> <p> </p>
Figure 7 in Sarcosaprophagous flesh flies (Diptera: Sarcophagidae) are less diverse in Amazon Forest than mangroves in Northeast Brazil: preliminary insights about environmental heterogeneity
Figure 7. Jaccard and Bray-Curtis dissimilarity values calculated from (A) occurrence data and (B) abundance data of Sarcophagidae, by areas and environments in Maranhão, Northeast Brazil. Taxonomic and species diversity was partitioned into the representative components of richness difference ('βrich', black boxes) and species replacement ('βrepl', grey boxes) between areas.
Figure 5 in Sarcosaprophagous flesh flies (Diptera: Sarcophagidae) are less diverse in Amazon Forest than mangroves in Northeast Brazil: preliminary insights about environmental heterogeneity
Figure 5. Mean and standard error of tree cover (%), number of species and abundance in each locality. M: mangrove; AF: Amazon Forest; 1: Maracanã, 2: Sítio Aguahy; 3: Anajatiua; %: relative abundance.
Figure 6 in Sarcosaprophagous flesh flies (Diptera: Sarcophagidae) are less diverse in Amazon Forest than mangroves in Northeast Brazil: preliminary insights about environmental heterogeneity
Figure 6. Diversity profiles by the ordering of Rényi series for each environment and each study area in Maranhão state, Northeast Brazil.
Figure 3 in Sarcosaprophagous flesh flies (Diptera: Sarcophagidae) are less diverse in Amazon Forest than mangroves in Northeast Brazil: preliminary insights about environmental heterogeneity
Figure 3. Observed cumulative curves (solid line) and extrapolation to double the number of samples (dashed line) of Sarcophagidae species by study area in Maranhão state, Northeast Brazil. 1: Anajatiua; 2: Maracanã; 3: Sítio Aguahy; F: forest; M: mangrove.
Figure 4 in Sarcosaprophagous flesh flies (Diptera: Sarcophagidae) are less diverse in Amazon Forest than mangroves in Northeast Brazil: preliminary insights about environmental heterogeneity
Figure 4. Association of tree cover (%) with (a) number of species and (b) abundance of sarcophagids in each sampling point of mangrove and forest.
Figure 2 in Sarcosaprophagous flesh flies (Diptera: Sarcophagidae) are less diverse in Amazon Forest than mangroves in Northeast Brazil: preliminary insights about environmental heterogeneity
Figure 2. Study areas on São Luís Island, Maranhão state (left and middle) and canopy cover images showing the distance between Amazon Forest and mangrove areas (right): (a) Anajatiua; (b) Maracanã; (c) Sítio Aguahy; (1) mangrove; (2) forest; (3) canopy cover images. Yellow points: traps in mangrove area; red points: traps in forest area.
Figure 1 in Sarcosaprophagous flesh flies (Diptera: Sarcophagidae) are less diverse in Amazon Forest than mangroves in Northeast Brazil: preliminary insights about environmental heterogeneity
Figure 1. Locations (Anajatiua, Maracanã and Sítio Aguahy) where sampling was performed in January/February 2016 and August/September 2017 on São Luís Island in the Brazilian state of Maranhão.
CLAIRE: contrastive learning-based batch correction framework for better balance between batch mixing and preservation of cellular heterogeneity
<p>Source code, datasets and outputs. </p>
"Replication package for: Risk Classification in Insurance Markets with Risk and Preference Heterogeneity"
<p>This package contains the replication code for the simulations presented in Farinha Luz, Gottardi and Moreira (forthcoming). "Risk classification in insurance markets with risk and preference heterogeneity." Review of Economic Studies.</p>
Habitat use and foraging parameters of breeding Skylarks indicate no seasonal decrease in food availability in heterogeneous farmland
<p>Reduced food availability during chick raising is a major driver of farmland bird declines. For the Eurasian Skylark (<i>Alauda arvensis</i>), food availability is determined by various factors (i.e., arthropod abundance/diversity, accessibility of the vegetation, distance to foraging sites). In modern farmland, it is supposed to decrease over the breeding season due to less penetrable vegetation. We explored foraging habitat selection by chick-raising Skylarks with a focus on the seasonal dynamics of habitat use and food availability. We investigated i) habitat selection concerning prey biomass/diversity, vegetation cover, and distance to foraging sites, ii) the overall and seasonal habitat use, and iii) seasonal developments of foraging parameters (e.g., the feeding frequency) as indicators of food availability. We collected data on foraging habitats and foraging parameters of chick-raising Skylark pairs at 51 nests from a Central European population in 2018 and 2019. Prey biomass/diversity and vegetation cover were measured for all habitats around 42 of these nests. As revealed by multivariate and compositional analyses, Skylarks mainly selected foraging habitats based on the proximity to nests. The most frequent habitats within home ranges could not be ranked according to an overall importance for foraging and their use partially changed over time. The feeding frequency increased throughout the breeding season, while other foraging parameters did not show significant changes. In contrast to our expectations, our data indicated therefore an increase, not a decrease in food availability in the late breeding season. This also implies that the habitat use was constantly suitable to raise offspring. We interpret this to be a consequence of the heterogeneous farmland composition of the study area that enabled Skylarks to establish a diverse home range and to benefit from synergetic effects of neighboring habitat types. Thus, our findings provide support for the high importance of crop diversity in Skylark conservation.</p>
Habitat heterogeneity, environmental feedbacks, and species coexistence across timescales (code and figures)
<p>Classic ecological theory explains species coexistence in variable environments. While spatial variation is often treated as an intrinsic feature of a landscape, it may be shaped and even generated by the resident community. All species modify their local environment to some extent, driving changes that can feed back to affect the composition and coexistence of the community, potentially over timescales very different from population dynamics. We introduce a simple, nested modeling framework for community dynamics in heterogeneous environments, including the possible evolution of heterogeneity over time due to community-environment feedbacks. We use this model to derive analytical conditions for species coexistence in environments where heterogeneity is either fixed or shaped by feedbacks. Among other results, our approach reveals how dispersal and environmental specialization interact to shape realized patterns of habitat association and demonstrates that environmental feedbacks can tune landscape conditions to allow the stable coexistence of any number of species. Our flexible modeling framework helps explain feedback dynamics that arise in a wide range of ecosystems and offers a generic platform for exploring the interplay between species and landscape diversity.</p>
Supplementary Data for "The heterogeneous K/U and Th/U ratios in different mantle reservoirs".
<p>Supplementary data tables for Ma et al. (2023) associated with the paper entitled "The heterogeneous K/U and Th/U ratios in different mantle reservoirs".</p>
Data for Structural Features of Interfacial Water Predict the Hydrophobicity of Chemically Heterogeneous Surfaces
<p>Scripts, raw and processed data, Jupyter notebooks, and force field files for the simulations performed in:</p> <p>B. C. Dallin, A. S. Kelkar, and R. C. Van Lehn. “Structural Features of Interfacial Water Predict the Hydrophobicity of Chemically Heterogeneous Surfaces.” <em>Chemical Science </em><strong>2023</strong>.</p>
Intermediary and supplemental data for publication "Heterogenous circulating miRNA changes in ME/CFS converge on a unified cluster of target genes and may be a result of modulation by latent herpesviruses: A computational analysis"
<p>Intermediary and supplemental data for publication "Heterogenous circulating miRNA changes in ME/CFS converge on a unified cluster of target genes and may be a result of modulation by latent herpesviruses: A computational analysis"</p>
Native diversity contributes to composition heterogeneity of exotic floras
<p>Variation in species composition among sites (beta diversity) is generally thought to be driven by environmental filtering and dispersal limitation but the role of biotic interactions has not been sufficiently addressed. Specifically, the early species in a local community may contribute to subsequent beta diversity patterns. Exotic assemblages within native communities provide a unique opportunity to study biotic interaction mechanisms. In this study, we conducted a field survey of plants over a ~1800 km transect in the middle and lower Yangtze River valley in China to study how native communities influence exotic beta diversity. The survey included 459 plots in 51 local plant communities with 40 exotic species and 103 co-occurring native species. We also investigated how 11 environmental factors involving climate conditions, soil properties and human activity regulate the interaction between native and exotic plants. The results showed that native diversity (Shannon-Wiener index) increased exotic beta diversity. Environmental conditions, especially monthly minimum temperature, influenced exotic beta diversity indirectly through native diversity rather than directly. Our results suggest that lower native diversity driven by environmental conditions, especially warmer temperatures, led to a decrease in composition heterogeneity of the exotic flora. Our results will help to incorporate biotic interactions into the framework of beta diversity mechanisms for local community assembly.</p>
Single-cell heterogeneity of EGFR and CKD4 co-amplification is linked to immune infiltration in glioblastoma
<p>This upload contains RDS objects of preprocessed publicly available scRNAseq data, required to run scRNAseq analyses in the manuscript "Single cell heterogeneity of EGFR and CDK4 co-amplification is linked to immune infiltration in glioblastoma". The corresponding GitHub repo <a href="https://github.com/Michorlab/GBM_OR_immune">https://github.com/Michorlab/GBM_OR_immune</a> contains code to analyze the data here, as well as plots and tables generated on the basis of this data.</p>
Geomechanical heterogeneity of minerals in layered rocks from the microscopic perspective
<p>This excel contains the data for the figures in this article so that readers can better understand and quote the content of the article when they look up the article. </p>
Data for manuscript "Investigate on the Compression-shear Coupled Stress Waves Propagating in Heterogeneous Rock" submitted to JGR
<p>In the manuscript "Investigate on the Compression-shear Coupled Stress Waves Propagating in Heterogeneous Rock", the true triaxial experimental testing system is employed to measure the longitudinal wave velocities of three samples: granite (i), mortar model material (ii, MMM), and mortar model material with coarse aggregates (iii, MMMA), under different triaxial confining pressures. Here, the initial electrical signal data received on the strain gauge is provided and recorded. The measured position is consistent with that shown in Figure D1 in the manuscript.</p>
FIGURE 1 in Improved modelling of compositional heterogeneity reconciles phylogenomic conflicts among lacewings
FIGURE 1. Phylogram of Neuropterida relationships based on the CAT-GTR+G4 analysis of anchored hybrid enrichment (AHE) amino acid data. All branches have a support value of ≥ 0.93 Bayesian posterior probability (BPP) except those indicated by red dots (BPP <0.9). Abbreviations: Conio., Coniopterygoidea; Dilar., Dilaroidea; Ithon., Ithonoidea; Megal., Megaloptera; Psych., Psychopsoidea; Raphi., Raphidioptera. Superfamilial classification is adapted from Engel et al. (2018).
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.