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3,339 results for “heterogeneities”
FIGURE 4 in Effects of urbanization and environmental heterogeneity on fish assemblages in small streams
FIGURE 4 | Relationship between rarefied species richness (Srarefied) and the proportion of impervious surfaces in urban streams in Cuiabá. The line indicates fitted values.
FIGURE 3 in Effects of urbanization and environmental heterogeneity on fish assemblages in small streams
FIGURE 3 | Spatial variation in rarefied species richness (Srarefied; A) and the local contribution to beta diversity (LCBD; B) in urban streams in Cuiabá (Mato Grosso, Brazil). The circle sizes in the legend indicate the minimum, mean, and maximum values of Srarefied and the LCBD. The arrow in "A" indicates flow direction.
FIGURE 2 in Effects of urbanization and environmental heterogeneity on fish assemblages in small streams
FIGURE 2 | Principal Coordinate Analysis (PCoA) of local environmental variables of streams from the urban area of Cuiabá, Mato Grosso, midwestern Brazil. The symbol sizes are proportional to the environmental heterogeneity (EH); PlaMat: plant matter; GraRoc: gravel and rocks; CanCov: canopy cover.
FIGURE 1 in Effects of urbanization and environmental heterogeneity on fish assemblages in small streams
FIGURE 1 | Location of the 45 streams sampled for fish in urban area within Cuiabá, Mato Grosso state, midwestern Brazil. The gray area indicates impervious surfaces. The color gradient indicates the proportion of impervious surfaces in a 500 m buffer around each stream; the closer to one the value is, the higher the quantity of urban infrastructure around the stream. The continuous lines indicate the hydrography. The dashed lines indicate the political boundary of Cuiabá with the neighboring municipality of Várzea Grande.
Forecasting the CBOE VIX and SKEW Indices Using Heterogeneous Autoregressive Models
<p>This dataset is used in the paper "Forecasting the CBOE VIX and SKEW Indices Using Heterogeneous Autoregressive Models" by Massimo Guidolin and Giulia F. Panzeri. The data contains daily observations of the VIX, SKEW, and SKEW− indices over the period January 4, 1996, - December 31, 2019. This period covers a total of 6,005 daily observations. The dataset is constructed from multiple sources as described in the paper and includes several files that correspond to different transformations and forecast errors of the indices.</p>
SynthSOD: Developing an Heterogeneous Dataset for Orchestra Music Source Separation
<p>The SynthSOD dataset contains more than 47 hours of multitrack music obtained by synthesizing orchestra and ensemble pieces from the <a href="https://qsdfo.github.io/LOP/database.html" target="_blank" rel="noopener">Symbolic Orchestral Database (SOD)</a> using Spitfire BBC Symphony Orchestra Professional Library. To synthesize the MIDI files from the SOD, we needed to fix the original files into the General MIDI standard, select a subsect of files that fitted into our requirements (e.g., containing only instruments that we could synthesize), and develop a new system to generate musically-motivated random annotations about tempo, dynamic, and articulation. The code to replicate this process is available in <a href="https://github.com/repertorium/HQ-SOD-generator" target="_blank" rel="noopener">our repository</a> and all the details can be read in <a href="https://doi.org/10.1109/OJSP.2025.3528361" target="_blank" rel="noopener">our paper</a>. We have also published the code to train and evaluate the baseline and the pre-trained models in a <a href="https://github.com/repertorium/SynthSOD-Baseline" target="_blank" rel="noopener">GitHub repository</a>.</p> <p>We have also published the aligned score information for most of the pieces <a href="https://doi.org/10.5281/zenodo.14971533">here</a>.</p>
GEOLAB - Transnational Access project SHARP - Soil Heterogeneity for soil Amelioration in Road Projects
<p><span>The SHARP - Soil Heterogeneity for soil Amelioration in Road Projects experiment proposes a novel approach to subgrade improvement: the strategic placement of gravel or other recycled aggregates in a layered configuration. This methodology aims to achieve a sufficient enhancement of the subgrade's mechanical properties, potentially eliminating the need for more resource-intensive and environmentally impactful techniques. The current research phase focuses on the evaluation of performance improvement in silt through the introduction of gravel layers via large-scale triaxial testing. Numerical simulations have already yielded promising results, highlighting the potential of this approach. However, the inherent size disparity between gravel and silt particles necessitates the use of large-scale testing equipment to accurately capture their composite behavior and avoid scale issues. Conventional triaxial equipment, typically limited to 10 cm diameter specimens, is inadequate for this purpose. The utilization of a large-scale triaxial apparatus facilitates the acquisition of reliable data directly applicable to real-world road and railway construction practices.</span></p> <p><span>The traditional Terzaghi method for analyzing consolidation (settling) in soils is not accurate for layered soils with different compressibility characteristics. This is a well-established fact (Schiffman & Stein, 1970; Lee et al., 1992). Previous research (Huang & Griffiths, 2010) has also shown that using the Terzaghi method for layered soils in finite element modeling can lead to inaccurate results due to issues with flow continuity at the interfaces between layers. This highlights the importance of studying consolidation in layered soils, both for practical reasons (ensuring the proposed solution is viable) and to gain a deeper theoretical understanding (the heterogeneity effect on consolidating silty soil).</span></p> <p><span>While numerical simulations have suggested that adding gravel layers to silty soil can significantly improve slope stability (Bossi et al., 2016), this needs experimental validation. Smaller lab specimens are not suitable due to the size difference between gravel and silt.</span></p> <p><span>The test performed within the SHARP project aimed to investigate the effectiveness of a "patchy" gravel-in-silt mix on volumetric changes and shear strength. This approach aims to be practical for construction crews by allowing the gravel to be spread in lenses within the existing subgrade. This would simplify construction and ensure a minimum level of performance for the improved subgrade.</span></p> <p><span>Ultimately, the goal is to use the data from these tests to assess the validity of using an "average friction angle" approach (Elkateb, 2003) for layered soils, considering the impact of the spatial distribution of the gravel layers. Numerical modeling can help answer these questions, but data for validation are necessary.</span></p>
Supplementary data for manuscript: "Characterizing dynamic heterogeneities during nanogel degradation"
<p>Contains data files and code (python Jupyter notebook) to reconstruct plots for manuscript: "Characterizing dynamic heterogeneities during nanogel degradation"<br><br>Contact: zmira@g.clemson.edu<br><br><br>This work is supported by the National Science Foundation under NSF Award No. 2110309.</p>
Heterogeneous mineralogical composition and fault behaviour: A systematic study in ternary fault rock compositions.
<p>In this dataset the high resolution images of the microstructural analysis and the frictional strength, frictional healing and the rate and state parameters are reported. The data refer to a comprehensive study with 34 frictional experiments on fault gouges composed of three representative mineral phase:muscovite (platy phyllosilicate), quartz (granular silicate) and calcite (granular carbonate), known for their markedly distinct frictional properties. </p>
Research Data for the Journal Article: Efficient DMF-assisted synthesis of formamides from amines using CO2 catalyzed by heterogeneous metal-free imidazolium-hypercrosslinked polymers
Open the record for dataset details and reuse information.
Single-Cell Transcriptomics Reveals a Heterogeneous Cellular Response to BK Virus Infection
<p>The files are the Indrops count matrices for BKV and Mock samples corresponding to the 8 experiments and samples described in the Bioproject https://www.ncbi.nlm.nih.gov/bioproject/PRJNA715178</p> <p> </p>
Figure 1 in Seed predation heterogeneity in the loculate fruits of a Mediterranean bushy plant
Figure 1. Comparison between expected (filled bars) and observed (open bars) entropy values in the proportion of fruits with different numbers of locules within individual plants. Expected values according to a null hypothesis of random production of fruits (n550, x2590.76, df53, P,0.001).
Figure 3 in Seed predation heterogeneity in the loculate fruits of a Mediterranean bushy plant
Figure 3. Sample variances and frequency distribution functions of proportion of the fruit destroyed by insect predators for different types of fruits (with 7–10 locules). Variance decreases when increasing locule number (Gamma correlation: z522.04; P,0.05). Least squares fitting line is shown to facilitate visualization.
Figure 2 in Seed predation heterogeneity in the loculate fruits of a Mediterranean bushy plant
Figure 2. Frequency distribution of fruits with different numbers of locules (random sample of 550 fruits).
Instances for the two-dimensional heterogeneous vector bin packing problem
<p>The dataset consist of 56 instances for the two-dimensional heterogeneous vector bin packing problem.</p> <p>Six small instances with 10, 11, 12, 13,<br> 15 and 20 items, as well as 50 randomly generated<br> large instances were considered. Weights and<br> volumes of items were randomly uniformly chosen<br> integer values from [1;15] tons and [1;25]m<sup>3</sup>,<br> respectively. The set of large instances had 5 instances<br> with each of the following numbers of<br> items: 50, 70, 100, 120, 150, 200, 350, 500, 750<br> and 1000.</p> <p>File structure:</p> <p>- number of items</p> <p>- weights of items</p> <p>- volumes of items</p>
Dataset for Evolution of Cooperation in Costly Institutions: Red Queen and Black Queen Dynamics in Heterogenous Public Goods
<p>This dataset contains the Matlab codes used in "Evolution of Cooperation in Costly Institutions: Red Queen and Black Queen Dynamics in Heterogenous Public Goods".</p> <p>The zip file contains Matlab codes used in simulation and numerical solutions of the replicator dynamics. The zip file "Figures" contains the Matlab code and data used to produce figures in this study.</p>
Mp4-Version of the supplementary Movies for the manuscript: "Quantitative real-time in-cell imaging reveals heterogeneous clusters of proteins prior to condensation"
<p>Videos in 'mp4'-format of the 8 supplementary movies for the manuscript: "Quantitative real-time in-cell imaging reveals heterogeneous clusters of proteins prior to condensation"</p>
Improving triaging from primary care into secondary care using heterogeneous data-driven hybrid machine learning: A real-world case study of decision support system using blood test & GP referral letters - Bing Wang and Prof Weizi (Vicky) Li (University of Reading)
<p>This video is the sixth talk from our two day Future Blood Testing: Challenges & Opportunities Event that took place on the 13/09/2022.</p> <p>Improving triaging from primary care into secondary care using heterogeneous data-driven hybrid machine learning: A real-world case study of decision support system using blood test & GP referral letters - Bing Wang and Prof Weizi (Vicky) Li (University of Reading)</p> <p>Bio: Dr Weizi (Vicky) Li is the PI of the Future Blood Testing Network, an Associate Professor of Informatics and Digital Health, Deputy Director in Informatics Research Centre, Henley Business School, University of Reading. She is an interdisciplinary researcher focusing on using informatics, data science, machine learning, and digital information systems to solve real-world healthcare challenges. She is the academic lead of a large collaborative project of Improving the Quality of Healthcare through an Integrated Clinical Pathway Management Approach and Cloud based Digital Data Integration Platform, which was awarded ESRC O2RB Excellence in Impact Award in 2018 for her research impact on healthcare quality improvement. She is the academic lead of machine learning based decision support system for outpatient management which has successfully been implemented in Royal Berkshire NHS Foundation Trust and has received Research Engagement and Impact award in 2020. She has been PI on projects funded by ESRC, EPSRC, The Health Foundation, NHS and companies, working on data-driven decision support systems that use real-world data (under privacy preserving framework) from multiple sources including Electronic Patient Record in acute, community hospital and primary care settings, remote health monitoring and patient reported outcomes to develop novel technologies (including AI based methods) to support clinical and operational decision makings in patient pathway. Bing Wang is currently a PhD candidate in informatics and system science at the Informatics Research Center, Henley Business School, University of Reading. Bing’s research interests are Natural Language Processing, Machine Learning and Graph Machine Learning. Bing been working as a data scientist at Royal Berkshire NHS Foundation Trust since December 2019 during his PhD.</p> <p>Further details on this event can be found at: https://futurebloodtesting.org/event/13-14-09-2022/</p> <p>This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1</p> <p>YouTube Link: https://youtu.be/W6EH5l80NmU</p>
Data from: Tall, heterogenous forests improve prey capture, delivery to nestlings, and reproductive success for Spotted Owls in southern California
<p>Predator-prey interactions can be profoundly influenced by vegetation conditions, particularly when predator and prey prefer different habitats. Although such interactions have proven challenging to study for small and cryptic predators, recent methodological advances substantially improve opportunities for understanding how vegetation influences prey acquisition and strengthen conservation planning for this group. The California Spotted Owl (<em>Strix</em> <em>occidentalis</em> <em>occidentalis</em>) is well-known as an old-forest species of conservation concern, but whose primary prey in many regions – woodrats (<em>Neotoma</em> spp.) – occurs in a broad range of vegetation conditions. Here, we used high-resolution GPS tracking coupled with nest video monitoring to test the hypothesis that prey capture rates vary as a function of vegetation structure and heterogeneity, with emergent, reproductive consequences for Spotted Owls in Southern California. Foraging owls were more successful capturing prey, including woodrats, in taller multilayered forests, in areas with higher heterogeneity in vegetation types, and near forest-chaparral edges. Consistent with these findings, Spotted Owls delivered prey items more frequently to nests in territories with greater heterogeneity in vegetation types and delivered prey biomass at a higher rate in territories with more forest-chaparral edge. Spotted Owls had higher reproductive success in territories with higher mean canopy cover, taller trees, and more shrubby vegetation. Collectively, our results provide additional and compelling evidence that a mosaic of large tree forests with complex canopy and shrubby vegetation increases access to prey with potential reproductive benefits to Spotted Owls in landscapes where woodrats are a primary prey item. We suggest that forest management activities that enhance forest structure and vegetation heterogeneity could help curb declining Spotted Owl populations while promoting resilient ecosystems in some regions.</p>
Droplet-Based Microfluidics Platform for the Synthesis of Single-Atom Heterogeneous Catalysts
<p>Data set supporting the publication of : "Droplet-Based Microfluidics Platform for the Synthesis of Single-Atom Heterogeneous Catalysts" (<a href="https://doi.org/10.1002/sstr.202200284">https://doi.org/10.1002/sstr.202200284</a>) by T. Moragues, S. Mitchell, D. Faust Akl, J. Pérez-Ramírez, and A. deMello.</p>
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.