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750 results for “heterogeneous data”
Supplementary Information and Data for The Effect of Compositional Heterogeneity on the Martensite Start Temperature of a High Strength Steel During Rapid Austenitisation and Cooling
<p>The supplementary information and supporting data for "The Effect of Compositional Heterogeneity on the Martensite Start Temperature of a High Strength Steel During Rapid Austenitisation and Cooling" in the proceedings of the 42nd Risø International Symposium on Materials Science. The images used in the paper are also included. The files for the montaged EBSD datasets are not included but can be made available upon request. Contact the corresponding author: mark.taylor-5@manchester.ac.uk</p>
Fast Intratumor Heterogeneity Inference from Single-Cell Sequencing Data (simulated data - Extended Data Figures)
<p>This data repository contains simulated data used for benchmarking HUNTRESS against the existing alternative tools. Results of the benchmarking are shown in Extended Data Figures 1-10 of the paper "Fast Intratumor Heterogeneity Inference from Single-Cell Sequencing Data" (to appear in Nature Computational Science). </p>
Data for: A comparative study on heterogeneity of clay rocks using pore-scale diffusion simulations and experiments
<p>This is the dataset for the paper "A comparative study on heterogeneity of clay rocks using pore-scale diffusion simulations and experiments" in JGR: Solid Earth</p>
Data for: Effects of nutrient heterogeneity on root foraging and plant growth at the individual and community level
<p>Plants can respond to heterogeneous nutrient distribution through selective root placement to enhance nutrient uptake. It is believed that nutrient heterogeneity can better promote plant growth than homogeneous nutrient distribution, but comprehensive analyses are relatively few. We meta-analyzed the data from 131 comparative studies and synthesized the effects of nutrient heterogeneity on root foraging and plant growth, and examined the roles of patch scale and contrast. Plant responses to nutrient heterogeneity was phylogenetically conserved, and the response in shoot biomass was more correlated with the response in root biomass than with root foraging precision. Root precision depended on competition status, and plants in interspecific competition had lower precision. Community-level responses to nutrient heterogeneity were more significant than individual-level responses. With increasing patch scale, root foraging precision declined, while overall shoot and root responses of individuals increased. Moderate patch contrast significantly increased root responses compared to low and high patch contrast. Our results indicate that plants optimize nutrient acquisition from heterogeneous patches mainly through increasing root growth rate and exploit nutrients more effectively at the community than individual level. Patch attribute mediation of nutrient heterogeneity effects on plants may help design fertilization practices to promote productivity and conserve biodiversity. </p>
Habitat heterogeneity affects the thermal ecology of the federally endangered blunt-nosed leopard lizard 2019 data
<p>Global climate change is already contributing to the extirpation of numerous species worldwide, and sensitive species will continue to face challenges associated with rising temperatures throughout this century and beyond. It is especially important to evaluate the thermal ecology of endangered ectotherm species now so that mitigation measures can be taken as early as possible. A recent study of the thermal ecology of the federally endangered Blunt-Nosed Leopard Lizard (Gambelia sila) suggested that they face major activity restrictions due to thermal constraints in their desert habitat, but that large shade-providing shrubs act as thermal buffers to allow them to maintain surface activity without overheating. We replicated this study and also included a population of G. sila with no access to large shrubs to facilitate comparison of the thermal ecology of G. sila in shrubless and shrubbed populations. We found that G. sila without access to shrubs spent more time sheltering inside rodent burrows than lizards with access to shrubs, especially during the hot summer months. Lizards from a shrubbed population had higher midday body temperatures and therefore poorer thermoregulatory accuracy than G. sila from a shrubless population, suggesting that greater surface activity may represent a thermoregulatory tradeoff for G. sila. Lizards at both sites are currently constrained from using open, sunny microhabitats for much of the day during their short active seasons, and our projections suggest that climate change will exacerbate these restrictions and force G. sila to use rodent burrows for shelter even more than they do now, especially at sites without access to shrubs. The continued management of shrubs and of burrowing rodents at G. sila sites is therefore essential to the survival of this endangered species.</p>
Replication data for Chen and Khanna. (Global Environmental Change Advances, 2024), "Heterogeneous and Long-Term Effects of a Changing Climate on Bird Biodiversity"
<p>This dataset contains code and data to replicate the results for "Heterogeneous and Long-Term Effects of a Changing Climate on Bird Biodiversity" by Luoye Chen and Madhu Khanna.</p>
Data from: Unravelling the complexities of temporal biotic homogenisation and heterogenization: Avian assemblage dynamics in Britain
<p>Biotic homogenization is a process whereby species assemblages become more similar through time. The standard way of identifying the process of biotic homogenization is to look for decreases in spatial beta-diversity. However, using a single assemblage-level metric to assess homogenization can mask important changes in the occupancy patterns of individual species. Here, we analysed changes in the spatial beta-diversity patterns (i.e., biotic heterogenization or homogenization) of British bird assemblages within 30km x 30km regions between two periods (1988-1991 and 2008-2011). We partitioned the change in spatial beta-diversity into extirpation and colonisation resultant change (i.e., change in spatial beta-diversity within each region resulting from both extirpation and colonisation). We used measures of abiotic change in combination with Bayesian modelling to disentangle the drivers of biotic heterogenization and homogenization. We detected both heterogenization and homogenization across the two time periods and three measures of diversity (taxonomic, phylogenetic, and functional). In addition, both extirpation and colonisation contributed to the observed changes, with heterogenization mainly driven by extirpation and homogenization by colonisation. These assemblage-level changes were primarily due to shifting occupancy patterns of generalist species. Compared to habitat generalists, habitat specialists had significantly (i) higher average contributions to colonisation resultant change (indicating heterogenization within a region due to colonisation) and (ii) lower average contributions to extirpation resultant change (indicating homogenization from extirpation). Generalists showed the opposite pattern. Increased extirpation resultant homogenization within regions was associated with increased urban land cover and decreased habitat diversity, precipitation, and temperature. Changes in extirpation resultant heterogenization and colonisation resultant heterogenization were associated with differences in elevation between regions and changes in temperature and land cover. Many of the 'winners' (i.e., species that increased in occupancy) were species that had benefitted from conservation action (e.g., buzzard (<em>Buteo buteo</em>)). The 'losers' (i.e., those that decreased in occupancy) consisted primarily of previously common species, such as cuckoo (<em>Cuculus canorus</em>). Our results show that focusing purely on changes in spatial beta-diversity over time may obscure important information about how changes in the occupancy patterns of individual species contribute to homogenization and heterogenization.</p>
Data from: Tree diversity across multiple scales and environmental heterogeneity promote ecosystem multifunctionality in a large temperate forest region
<p><strong>Aim</strong>: Biodiversity across different scales provides multidimensional insurance for ecosystem functioning. Although the effects of biodiversity on ecosystem multifunctionality are well recorded in local communities, they remain poorly understood across scales (from local to larger spatial scales). This study evaluates how multiple attributes of biodiversity maintain ecosystem multifunctionality from local to regional scales, across diverse environmental gradients.</p> <p><strong>Location</strong>: North-eastern China.</p> <p><strong>Time period</strong>: 2017.</p> <p><strong>Major taxa studied</strong>: Woody plants.</p> <p><strong>Methods</strong>: We define multifunctionality using both averaged and modified multiple threshold approaches. Multiple dimensions of biodiversity across varying spatial scales were measured within the framework of Hill‒Chao numbers. Using variance decomposition, linear mixed models, and structural equation modeling, we explored how multiple attributes of tree diversity at varying spatial scales affect multifunctionality, and how these relationships are modulated by environmental drivers.<br>Results: We found that both α- and β-diversity are critical for regional community multifunctionality, while the relationships between species, functional, and phylogenetic diversity and multifunctionality decoupled across spatial scales and thresholds of ecosystem functioning. Phylogenetic β-diversity and species α-diversity are respectively more important for promoting high and moderate threshold multifunctionality (e.g., EMFT90 and EMFT50) in regional communities. Environmental drivers typically have stronger effects than biodiversity on multifunctionality. Soil and climatic conditions had either direct effects on multifunctionality, or indirect ones mediated by species α-diversity. Environmental heterogeneity is important for high threshold multifunctionality, exerting directly and indirectly through phylogenetic β-diversity. Latitude not only directly influences multifunctionality but also modulates it through species α-diversity and phylogenetic β-diversity.</p> <p><strong>Main conclusions</strong>: This study underscores the positive effects of biodiversity on multifunctionality across multiple dimensions. Based on our findings, we conclude that any design of a forested landscape that is aimed at maximizing multifunctionality should consider maintaining high local diversity as well as forest community heterogeneity at varying scales.</p>
Cumulative arrival time distribution data for "Upscaling transport in heterogeneous media featuring local-scale dispersion: flow channeling, macro-retardation and parameter prediction"
<div> <div>This archive contains arrival time CDF data for a variety of transport simulations in heterogeneous Darcy flow fields, alongside metadata describing the flow fields. The flow fields were spatially periodic, intersected by uniformly-spaced imaginary planes. Arrival times represent length of time from particle departure from one plane until arrival at the next.</div> <div> </div> <div>Consult the README.md file at the top level of the archive for more information. The file format used to store the CDF data is documented in the Python script at the top level of the archive.</div> </div>
Data used for the paper Daniel Malko, Yanjun Guo, Pip Jones, George Britovsek, and Anthony Kucernak, "Heterogeneous iron containing carbon catalyst (Fe-N/C) for epoxidation with molecular oxygen|", Journal of Catalysis, 2019, DOI:10.1016/j.jcat.2019.01.008
<p>The data in this spreadsheet was used to produce the figures in the paper</p> <p>Daniel Malko, Yanjun Guo, Pip Jones, George Britovsek, and Anthony Kucernak</p> <p>Heterogeneous iron containing carbon catalyst (Fe-N/C) for epoxidation with molecular oxygen</p> <p>Journal of Catalysis</p> <p>DOI:10.1016/j.jcat.2019.01.008</p> <p>Please cite the above reference if you wish to use this data<br> DOI of this data file is: 10.5281/zenodo.2539183</p>
Raw data of the manuscript: Heterogeneous Freezing of Liquid Suspensions Including Juices and Extracts from Berries and Leaves from perennial Plants
<p>Freezing data</p>
Data Supporting Dissipation Scaled Internal Wave Drag in a Global Heterogeneously Coupled Internal/External Mode Total Water Level Model
Open the record for dataset details and reuse information.
Data for "Differential effects of Daphnia genotype composition on spatial environmental heterogeneity in experimental metacommunities"
Open the record for dataset details and reuse information.
Data from the manuscript "Is the 2010 Maule Earthquake a repeating earthquake? Rupture heterogeneities and their impact on ground motion, landslides and cortical faults in Subduction Zones. "
<p>MATLAB data and codes used for the manuscript are provided. These calculate ground motion from a heterogeneous rupture, similar to the approach used in Venegas-Aravena (2024). The rupture simulation can be performed using the 'HE_B rupture.mat' code, which implements the Heterogeneous Energy-Based method (Venegas-Aravena, 2023) to model the 2010 Mw 8.8 Maule earthquake. The code for generating ground motion, 'Displacement_field.mat', calculates near-, intermediate-, and far-field displacement fields following equations 4.32 in Aki and Richards (2002) as a summation of point sources from the earthquake rupture. The subduction geometry is included in this dataset. The code can compute displacements in rho, theta, phi, direction and in east-west, north-south, and dip directions after following code instructions. Additionally, it includes a feature to add Rayleigh waves, although this was not utilized in the 2010 Maule earthquake manuscript.<br><br>A video showing the data can be seen here: <strong>https://youtu.be/6Zf3fgb6AGc.</strong><br><br><br>References</p> <p>Aki and Richards (2002): QUANTITATIVE SEISMOLOGY, SECOND EDITION.</p> <p>Venegas-Aravena (2023): https://doi.org/10.1515/geo-2022-0522.</p> <p>Venegas-Aravena (2024): https://doi.org/10.1007/s11069-024-06651-9.<br><br></p>
Data for "Earthquake nucleation and slip behavior altered by stochastic normal stress heterogeneity"
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Data from: Is tropical montane forest heterogeneity promoted by a resource-driven feedback cycle? Evidence from nutrient relations, herbivory and litter decomposition along a topographical gradient
1. Ridges of tropical mountains often differ strikingly from neighbouring ravines in terms of forest structure, productivity, and species composition. This heterogeneity is poorly understood despite its critical role in biodiversity maintenance, carbon and nutrient budgets. 2. We examined measures of tree biomass and productivity, foliage and litter quality (nutrient concentrations, specific leaf mass, phenolics), herbivory and leaf litter decomposition in each six plots laid out in upper and lower slope position in a tropical montane moist forest in southeastern Ecuador. 3. Productivity, quality of foliage and litter and herbivory were significantly lower in upper slope position and closely correlated with soil nutrient concentrations and accumulated humus. The decomposition of upper slope leaf litter (decomposition rate k) was substantially lower than in litter from lower slope forest, whereas the site of decomposition (slope position) only had a marginal effect on the decomposition rate. 4. Our results suggest that the differences in stand structure, productivity, foliar quality, herbivory and decomposition between slope positions are ultimately due to stronger nutrient limitations in upper slope forest. We propose a general conceptual model that explains origin and maintenance of contrasting forest types along topographical gradients through down-slope fluxes of nutrients and water, and a nutrient-driven positive feedback cycle.
Data from: Environmental heterogeneity and population differences in blue tits personality traits
Environmental heterogeneity can result in spatial variation in selection pressures that can produce local adaptations. The pace-of-life syndrome hypothesis predicts that habitat-specific selective pressures will favor the coevolution of personality, physiological, and life-history phenotypes. Few studies so far have compared these traits simultaneously across different ecological conditions. In this study, we compared 3 personality traits (handling aggression, exploration speed in a novel environment, and nest defense behavior) and 1 physiological trait (heart rate during manual restraint) across 3 Corsican blue tit (Cyanistes caeruleus) populations. These populations are located in contrasting habitats (evergreen vs. deciduous) and are situated in 2 different valleys 25 km apart. Birds from these populations are known to differ in life-history characteristics, with birds from the evergreen habitat displaying a slow pace-of-life, and birds from the deciduous habitat a comparatively faster pace-of-life. We expected personality to differ across populations, in line with the differences in pace-of-life documented for life-history traits. As expected, we found behavioral differences among populations. Despite considerable temporal variation, birds exhibited lower handling aggression in the evergreen populations. Exploration speed and male heart rate also differed across populations, although our results for exploration speed were more consistent with a phenotypic difference between the 2 valleys than between habitats. There were no clear differences in nest defense intensity among populations. Our study emphasizes the role of environmental heterogeneity in shaping population divergence in personality traits at a small spatial scale.
Data from: Decreased root heterogeneity and increased root length following grassland invasion
1. Plant invasions can be promoted by environmental heterogeneity, but the opposite effect, the impact of plant invasion on heterogeneity, has received little attention. Grassland invasions might contribute to decreased spatial heterogeneity because invaders tend to be larger than native vegetation. Lowered heterogeneity may contribute to the low diversity of invaded communities, as well as to the persistence of invasive populations. 2. We compared the spatial heterogeneity of roots and resources in uninvaded native grassland and in stands invaded by a relatively large exotic grass (Agropyron cristatum), in four combinations of mowing and nitrogen (N) addition. We focused on roots because they account for the majority of primary production in grasslands. 3. The spatial heterogeneity of root length (m root / m2 rhizotron image) and root production was significantly lower beneath A. cristatum than uninvaded grassland. This result was consistent in all combinations of mowing and N addition. 4. Beneath the invader, root length was significantly greater, and the proportion of samples that contained roots was significantly higher. This suggests that the invader decreased spatial heterogeneity by more completely filling the soil volume with roots. 5. Resource heterogeneity varied significantly between vegetation types in just one out of four cases examined, suggesting that invader effects on resource heterogeneity were small relative to its effects on root heterogeneity. 6. These results suggest a novel mechanism promoting invader success and persistence: high root heterogeneity, lower root length, and empty soil volumes in native grassland may make it relatively vulnerable to invasion, while reduced heterogeneity and greater root length in invaded grasslands may sustain stable, low-diversity communities dominated by the invader. Lowered heterogeneity accompanying invasion may partly account for the wide-spread occurrence of low diversity, invader dominated grasslands in North America.
Data from: Covariation between the physiological and behavioral components of pathogen transmission: host heterogeneity determines epidemic outcomes
Although heterogeneity in contact rate, physiology, and behavioral response to infection have all been empirically demonstrated in host–pathogen systems, little is known about how interactions between individual variation in behavior and physiology scale-up to affect pathogen transmission at a population level. The objective of this study is to evaluate how covariation between the behavioral and physiological components of transmission might affect epidemic outcomes in host populations. We tested the consequences of contact rate covarying with susceptibility, infectiousness, and infection status using an individual-based, dynamic network model where individuals initiate and terminate contacts with conspecifics based on their behavioral predispositions and their infection status. Our results suggest that both heterogeneity in physiology and subsequent covariation of physiology with contact rate could powerfully influence epidemic dynamics. Overall, we found that 1) individual variability in susceptibility and infectiousness can reduce the expected maximum prevalence and increase epidemic variability; 2) when contact rate and susceptibility or infectiousness negatively covary, it takes substantially longer for epidemics to spread throughout the population, and rates of epidemic spread remained suppressed even for highly transmissible pathogens; and 3) reductions in contact rate resulting from infection-induced behavioral changes can prevent the pathogen from reaching most of the population. These effects were strongest for theoretical pathogens with lower transmissibility and for populations where the observed variation in contact rate was higher, suggesting that such heterogeneity may be most important for less infectious, more chronic diseases in wildlife. Understanding when and how variability in pathogen transmission should be modelled is a crucial next step for disease ecology.
Data from: Consumer versus resource control and the importance of habitat heterogeneity for estuarine bivalves
The relative influence of consumers (top down) and resources (bottom up) on the distribution and abundance of organisms remains a key question in ecology. We examined the relationships between consumer and resource variables along a productivity gradient for a dominant predator–prey interaction in a marine soft-sediment system. We 1) quantified density and size of the clam Macoma balthica (prey species) in six replicate sites at each of four habitat types (shallow mud, deep mud, muddy sand and detrital mud) in the Rhode River, Chesapeake Bay. We selected one habitat type of high food availability and clam density (shallow mud) and another of low food availability and clam density (muddy sand) for manipulative experiments. Then, we 2) measured M. balthica survival and growth through transplants, 3) measured food availability as sedimentary organic carbon content, 4) quantified predator density, and 5) calculated predator foraging efficiency in the two habitat types. Clam density in the four habitat types differed and was related to sedimentary carbon availability and predator density. One of the habitats, detrital mud, appeared to be a population sink because it only held juvenile Macoma that never survived to reproductive age. Macoma size and growth, and predator (mainly blue crab Callinectes sapidus) densities were positively correlated with productivity and were higher in shallow mud than muddy sand. In contrast, Macoma mortality, local 'interaction strength', and predator foraging efficiency were lower in the productive habitat (shallow mud). Thus, predation intensity was inversely correlated with productivity (food availability); consumer and resource effects differed by habitat type; and, at a relatively small spatial scale, consumer and resource forces jointly determined population dynamics in this soft-sediment marine system.
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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.