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3,339 results for “heterogeneities”

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dryad40/100

Resolving the context-dependency of local heterogeneity-diversity relationships across rocky reefs worldwide

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publicApr 2025View details →
dryad40/100

Data from: Interactions of wood accumulations, channel dynamics, and geomorphic heterogeneity within a river corridor

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publicMay 2024View details →
dryad40/100

Heterogeneous mosquito exposure increases Plasmodium vivax and Plasmodium falciparum coinfections: a modelling study

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publicOct 2024View details →
dryad40/100

Data from: Counteracting cascades challenge the heterogeneity – stability relationship

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publicJul 2025View details →
dryad40/100

Spatial heterogeneity in resources alters selective dynamics in Drosophila melanogaster

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publicApr 2021View details →
dryad40/100

Effects of compositional heterogeneity and spatial autocorrelation on richness and diversity in simulated landscapes

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publicJul 2024View details →
dryad40/100

Code: A model of wild bee populations accounting for spatial heterogeneity and climate induced temporal variability of food resources at the landscape level

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publicJun 2022View details →
dryad40/100

Data from: Influence of environmental heterogeneity on genetic diversity and structure in an endemic southern Californian oak

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publicMar 2012View details →
dryad40/100

Data from: Determining the optimal movement strategies in environments with heterogeneously distributed resources and toxicants

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publicFeb 2025View details →
dryad40/100

Data from: Using genetic relatedness to understand heterogeneous distributions of urban rat-associated pathogens

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publicAug 2020View details →
dryad40/100

High heterogeneity in genomic differentiation between phenotypically divergent songbirds: A test of mitonuclear co-introgression

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publicFeb 2023View details →
dryad40/100

Data from: Evaluating the importance of individual heterogeneity in reproduction to Weddell seal population dynamics using integral projection models

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publicJun 2023View details →
dryad40/100

Data and code from: Cooperation and coordination in heterogeneous populations

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publicNov 2022View details →
dryad40/100

Large differences in herbivore performance emerge from simple herbivore behaviors and fine-scale spatial heterogeneity in phytochemistry

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publicNov 2024View details →
edi40/100

Eight Mile Lake Research Watershed, Thaw Gradient, Ecosystem carbon balance: Eddy covariance CO2 flux data of a heterogenous landscape undergoing permafrost thaw.

In this larger study, we are asking the question: Is old carbon that comprises the bulk of the soil organic matter pool released in response to thawing of permafrost? We are answering this question by using a combination of field and laboratory experiments to measure radiocarbon isotope ratios in soil organic matter, soil respiration, and dissolved organic carbon, in tundra ecosystems. The objective of these proposed measurements is to develop a mechanistic understanding of the SOM sources contributing to C losses following permafrost thawing. We are making these measurements at an established tundra field site near Healy, Alaska in the foothills of the Alaska Range. Field measurements center on a natural experiment where permafrost has been observed to warm and thaw over the past several decades. This area represents a gradient of sites each with a different degree of change due to permafrost thawing. As such, this area is unique for addressing questions at the time and spatial scales relevant for change in arctic ecosystems. Understanding how landscape level physical and biological changes effect carbon cycling is important for estimating the carbon balance of an ecosystem undergoing permafrost thaw.

openOpenMay 2010View details →
edi40/100

Topographic heterogeneity mediates patterns of vegetation response to climate change across a mountain landscape, Niwot Ridge, Colorado, 1972-2008

The distributions of biomes worldwide are predicted to shift as vegetation tracks climate change. Ecologists often use coarse-scale climate models to predict these shifts along broad elevational and latitudinal gradients, but these assessments could fail to capture important dynamics by ignoring fine-scale heterogeneity. We ask how the elevational ranges of vegetation types have changed in a mountainous landscape, and investigate the influence of fine-scale topographic, snowpack, and soil properties on vegetation change. We manually classified vegetation from high-resolution repeat aerial photographs from 1972 and 2008 at Niwot Ridge, Colorado, USA, and generally found that trees and shrubs colonized tundra, while tundra colonized barren soils. Only shrubs expanded their elevational range. Several fine-scale topographic, soil and snow characteristics, including elevation, slope, solar radiation, soil bulk density, and interannual snowpack variability, modulated where plant establishment occurred. Each vegetation type had a unique suite of variables best predicting its establishment in new areas. We suggest that fine-scale heterogeneity may strongly control how plants in mountainous regions respond to climate change, and different vegetation types may be sensitive to different aspects of this heterogeneity. An improved understanding of the factors controlling vegetation change gives us a broader understanding of ecosystem response to climate change, nitrogen deposition, and release from grazing.

openCC (other)Jul 2019View details →
zenodo36/100

Assessing the structural heterogeneity of supercooled liquids through community inference

<p>This dataset is associated with &quot;Assessing the structural heterogeneity of supercooled liquids through community inference&quot;, by Joris Paret, Robert L. Jack, Daniele Coslovich, J. Chem. Phys. 152, 144502 (2020) [<a href="https://doi.org/10.1063/5.0004732">https://doi.org/10.1063/5.0004732</a>]</p> <p>It includes scripts and data files to allow for the replication of the figures. PDF and SVG figures were generated using :</p> <ul> <li>Python 3.7.5</li> <li>Numpy 1.16.2</li> <li>Matplotlib 3.0.2</li> <li>TeX Live 2013/Debian (including package type1ec.sty v1.1)</li> </ul> <p>Most of the final figures were then assembled using LibreOffice 4.2.8.2 (whose files are also provided).</p>

opencc-by-4.0Apr 2020View details →
zenodo36/100

Spatial Distribution of the International Food Prices: Unexpected Heterogeneity and Randomness

<p>Global&nbsp;<a href="https://www.sciencedirect.com/topics/agricultural-and-biological-sciences/food-prices">food prices</a>&nbsp;are typically analysed in a time-series framework. We complement this approach by focusing on the spatial&nbsp;<a href="https://www.sciencedirect.com/topics/economics-econometrics-and-finance/price-dispersion">price dispersion</a>&nbsp;of the country-pair bilateral trade in the international food trade network (<em>IFTN</em>), for ten relevant commodities. The main purposes are to verify if the&nbsp;<a href="https://www.sciencedirect.com/topics/economics-econometrics-and-finance/price-convergence">Law of One Price</a>&nbsp;(<em>LOP</em>) holds and to investigate the emergence of randomness in the price-formation mechanism.</p> <p>We distinguish between the &ldquo;internal&rdquo; variance, which indicates the magnitude of price discrimination, and the &ldquo;external&rdquo; variance, that is a measure of price dispersion. We find that, for some commodities, spatial price dispersion is remarkable and persistent over time (i.e., failure of the&nbsp;<em>LOP</em>) and that there exists a strict correlation between price spikes and peaks in spatial price variability.</p> <p>We test whether the price distribution can be replicated through a&nbsp;<a href="https://www.sciencedirect.com/topics/economics-econometrics-and-finance/stochastic-process">stochastic process</a>&nbsp;of extraction. Surprisingly, the actual distribution of prices, for several commodities, is well described by a random distribution. Then, the process of data aggregation is not neutral because the information at the micro-level scale might be lost at the macro-scale, due to the complexity of the&nbsp;<em>IFTN</em>. Finally, we discuss some possible economic explanations of these outcomes and the main methodological, environmental, and policy consequences.</p>

opencc-by-4.0Apr 2019View details →
zenodo36/100

Dataset for publication "Spectral graph theory efficiently characterises ventilation heterogeneity in airway networks".

<p>This directory contains files for the tree networks used in the manuscript &quot;Spectral graph theory efficiently characterises ventilation heterogeneity in airway networks&quot; by C Whitfield et al. Publication details to follow.</p> <p>Each folder contains the network as labelled in the paper in two formats:<br> - .vtk format<br> - plain text format where it is split into 3 files with suffixes .branches .nodes and .termnodes<br> &nbsp;&nbsp; &nbsp;- The .nodes file has 4 columns, the first is the node index and the other 3 are the (x,y,z) node coordinates in mm<br> &nbsp;&nbsp; &nbsp;- The .branches file has 4 columns (ignoring extra info in following columns), which are the edge index, node in index, node out index and radius (mm)<br> &nbsp;&nbsp; &nbsp;- The .termnodes file contains a list of node indices corresponding to terminal nodes of the tree.</p> <p>Each folder also contains the CT centerline data (identified by the suffix _CT) in .vtk format.</p>

opencc-by-4.0Mar 2020View details →
zenodo36/100

Data, plotting scripts, and figures for "Applying the swept rule for explicit partial differential equation solutions on heterogeneous computing systems"

<p>This dataset contains the figures, as well as the necessary plotting scripts and data to reproduce them, for the article &quot;Applying the swept rule for explicit partial differential equation solutions on heterogeneous computing systems&quot; by Daniel J. Magee, Anthony S. Walker, and&nbsp;Kyle E. Niemeyer (2020).</p> <p>The plotting scripts were all run using Python 3.7.6, and should be compatible with &gt;3.6, but this has not been tested.</p> <p>The code included in this dataset is released under the BSD 3-Clause License. The figures are shared under the Creative Commons Attribution 4.0 International License (CC BY 4.0, https://creativecommons.org/licenses/by/4.0/).</p>

opencc-by-4.0May 2020View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.