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266 results for “data partitioning”
Strain partitioning, interseismic coupling, and shallow creep along the Ganzi-Yushu fault from Sentinel-1 InSAR data
<p>The dataset includes the InSAR velocity data and fault coupling model in the article "Strain partitioning, interseismic coupling, and shallow creep along the Ganzi-Yushu fault from Sentinel-1 InSAR data" (<a href="https://doi.org/10.1029/2024GL111469">https://doi.org/10.1029/2024GL111469</a>). The "insardata.zip" file includes original data of 5 tracks export from MintPy software, and the detailed format of the data can be found in the instruction provided by the MintPy software (<a href="https://github.com/insarlab/MintPy">GitHub - insarlab/MintPy: Miami InSAR time-series software in Python</a>). The "couplingmodel.gmt" is the fault coupling distribution along the Ganzi-Yushu fault, formatted for utilization in GMT software (<a href="https://github.com/GenericMappingTools/gmt">GitHub - GenericMappingTools/gmt: The Generic Mapping Tools</a>).</p>
Partitioning species contributions to ecological stability - Data and Code
<p>This repository contains all R code and data used for the manuscript entitled "Partitioning species contributions to ecological stability in disturbed communities".</p> <p>Authors: Charlotte Kunze, Dominik Bahlburg, Pablo Urrutia-Cordero, Maren Striebel, Egle Kelpsiene, Silke Langenheder, Ian Donohue & Helmut Hillebrand</p>
Data from: Sympatric wren-warblers partition acoustic signal space and song perch height
Animals employing acoustic signals, such as birds, must effectively communicate over both background noise and potentially attenuating objects in the environment. To surmount these obstacles, animals evolve species-specific acoustic signals that do not overlap with sources of interference (such as songs of close relatives), and issue these songs from locations that maximize transmission. In multispecies assemblages of birds, the acoustic resource may thus be interspecifically partitioned along multiple axes, including song perch height and signal space. However, very few such studies have focused on open habitats, where differences in sound transmission patterns and limited availability of song perches may drive competition across multiple axes within signal space. Here, we demonstrate acoustic signal space partitioning in four sympatric species of wren-warbler (Cisticolidae, Prinia), in an Indian dry deciduous scrub-grassland habitat. We found that the breeding songs of the four species partition acoustic signal space, resulting in interspecific community organization. Within each species' signal space, we uncovered different intraspecific patterns in note diversity. Two species partitioned intraspecific signal space into multiple note types, whereas the other two varied note repetition rate to different extents. Finally, we found that the four species also partition song perch heights, thus exhibiting acoustic niche separation along multiple axes. We hypothesize that divergent song perch heights may be driven by competition for higher singing perches or other ecological factors rather than signal propagation. Acoustic signal partitioning along multiple axes may therefore arise from a combination of diverse ecological processes.
Data for: Many-body thermodynamics on quantum computers via partition function zeros
<p>Partition functions are ubiquitous in physics: they are important in determining the thermodynamic properties of many-body systems, and in understanding their phase transitions. As shown by Lee and Yang, analytically continuing the partition function to the complex plane allows us to obtain its zeros and thus the entire function. Moreover, the scaling and nature of these zeros can elucidate phase transitions. Here we show how to find partition function zeros on noisy intermediate-scale trapped ion quantum computers in a scalable manner, using the XXZ spin chain model as a prototype, and observe their transition from XY-like behavior to Ising-like behavior as a function of the anisotropy. While quantum computers cannot yet scale to the thermodynamic limit, our work provides a pathway to do so as hardware improves, allowing the future calculation of critical phenomena for systems beyond classical computing limits.</p>
Data for: Evaluating the impact of anatomical partitioning on summary topologies obtained with Bayesian phylogenetic analyses of morphological data
<p>Morphological data are a fundamental source of evidence to reconstruct the Tree of Life, and Bayesian phylogenetic methods are increasingly being used for this task. Bayesian phylogenetic analyses require the use of evolutionary models, which have been intensively studied in the past few years, with significant improvements to our knowledge. Notwithstanding, a systematic evaluation of the performance of partitioned models for morphological data has never been performed. Here we evaluate the influence of partitioned models, defined by anatomical criteria, on the precision and accuracy of summary tree topologies considering the effects of model misspecification. We simulated datasets using partitioning schemes, trees, and other properties obtained from two empirical datasets, and conducted Bayesian phylogenetic analyses. Additionally, we reanalysed 32 empirical datasets for different groups of vertebrates, applying unpartitioned and partitioned models, and, as a focused study case, we reanalysed a dataset including living and fossil armadillos, testing alternative partitioning hypotheses based on functional and ontogenetic modules. We found that, in general, partitioning by anatomy has little influence on summary topologies analysed under alternative partitioning schemes with a varying number of partitions. Nevertheless, models with unlinked branch lengths, which account for heterotachy across partitions, improve topological precision at the cost of reducing accuracy. In some instances, more complex partitioning schemes, led to topological changes, as tested for armadillos, mostly associated with models with unlinked branch lengths. We compare our results with other empirical evaluations of morphological data and those from empirical and simulation studies of partitioning of molecular data, considering the adequacy of anatomical partitioning relative to alternative methods of partitioning morphological datasets.</p>
Quasi-Newton methods for partitioned simulation of fluid-structure interaction reviewed in the generalized Broyden framework: code and data
<p>These files accompany the publication</p><p>N. Delaissé, T. Demeester, R. Haelterman and J. Degroote. Quasi-Newton methods for partitioned simulation of fluid-structure interaction reviewed in the generalized Broyden framework.<i> Archives of Computational Methods in Engineering</i>, Vol.<strong> </strong>30, 3271-3300, 2023. doi: <a href="https://doi.org/10.1007/s11831-023-09907-y">10.1007/s11831-023-09907-y</a></p><p>In this work, the performance of multiple quasi-Newton methods are compared in terms of memory requirements and computational time. The results are generated for the well-known flexible tube example case, using the open-source code <a href="http://github.com/pyfsi/coconut">CoCoNuT</a>. This code, developed at Ghent University, is Python-based and has the capability to couple existing solvers, both open-source and commercial solvers.</p><p>This archive consists of the following files.</p><ul><li><strong>coconut.tar.gz: </strong>the specific CoCoNuT version used (sep-2022), including the Python flow and structure solvers for the flexible tube and modifications for monitoring memory requirements</li><li><strong>compare_coupling_algorithms.tar.gz: </strong>the scripts to set up the cases and perform the calculations and post-processing</li><li><strong>results.tar.gz:</strong> the generated result data</li></ul><p>For requirements to run CoCoNuT, refer to the <a href="http://pyfsi.github.io/coconut/">documentation</a>. Additionally, the Python package guppy3 is required for monitoring the memory use. In this work the data were generated with Andaconda3-2022.05 and the package guppy3-3.1.2.</p><p>Before running the provided scripts, make sure the parent directory of the "coconut" folder is added to the PYTHONPATH. The calculations can be started with "python run.py". For the cases which names contain "_m" followed by a number, e.g. "_m100", the number refers to the number of discretization points on the interface. The cases with suffix "_c" are distinct from those without, as they don't perform the time consuming memory monitoring and are therefore used for measuring computational time.</p>
Data for: Steal the rain: Interception loses and rainfall partitioning by a broad-leaf and a fine-leaf woody encroaching species in a southern African semi-arid savanna
<p><span>Woody plant encroachment (WPE) has been found to alter ecosystem functioning and services in savannas. In rain-limited savannas, increasing woody cover can reduce streamflow and groundwater by altering </span>evapotranspiration rates and rainfall partitioning<span>, but the ecological relevance of this impact is not well known. </span><span>This study quantified the altered partitioning of rainfall by two woody plant structural types (fine- and broad-leaved trees) across a gradient of encroachment in a semi-arid savanna in South Africa. Averaged across both plant functional types, loss of rainfall through canopy interception and subsequent evaporation roughly doubled (from 20.5</span> to <span>43.6% of total rainfall) with a roughly 13-fold increase in woody cover (from 2.4 to </span>31.4 m<sup>2</sup>/ha tree basal cover). Spatial partitioning changes comprised <span>fourfold increases in stemflow (from 0.8</span> to <span>3.9% of total rainfall) and a decline in throughfall proportion of about two-fifths (from 80.2% to 47.3% of total rainfall). </span>Changes in partitioning were dependent on plant functional type; rainfall interception by the fine-leaved multi-stemmed shrub <em>Dichrostachys</em> <em>cinerea</em> was almost double that of the broad-leaved tree <em>Terminalia sericea</em> at the highest levels of woody encroachment (i.e., 49.7% vs 29.1% of total rainfall intercepted at tree basal area of 31.4 m<sup>2</sup>/ha). Partitioning was also dependent on rainfall characteristics, with the proportion of rainfall intercepted inversely related to rainfall event size and intensity. Therefore, increasing tree cover in African grassy ecosystems reduces the amount of canopy throughfall, especially beneath canopies of fine-leaved species in smaller rainfall events. Rainfall interception traits may thus confer a selective advantage, especially for fine-leaved woody plant species in semi-arid savannas. </p>
Data from: The Competitive exclusion – tolerance rule explains habitat partitioning among co-occurring species of burying beetles
<p>Habitat partitioning among co-occurring, ecologically similar species is widespread in nature and thought to be an important mechanism for coexistence. The factors that cause habitat partitioning, however, are unknown for most species. We experimentally tested among three alternative hypotheses to explain habitat partitioning among two species of co-occurring burying beetle (<em>Nicrophorus</em>) that occupy forest (<em>N. orbicollis</em>) and wetland (<em>N. hebes</em>) habitats. Captive experiments revealed that the larger <em>N. orbicollis </em>(forest) was consistently dominant to <em>N. hebes </em>(wetland) in competitive interactions for carcasses that they require for reproduction. Transplant enclosure experiments in nature revealed that <em>N. hebes</em> had poor reproductive success whenever the dominant <em>N. orbicollis</em> was present. In the absence of <em>N. orbicollis</em>, <em>N. hebes</em> performed as well, or better, in forest versus its typical wetland habitat. In contrast, <em>N. orbicollis </em>performed poorly in wetlands regardless of the presence of <em>N. hebes</em>. These results support the Competitive exclusion – tolerance rule where the competitively dominant <em>N. orbicollis</em> excludes the subordinate <em>N. hebes</em> from otherwise suitable or preferable forest habitat, while the subordinate <em>N. hebes</em> is uniquely able to tolerate the challenges of breeding in wetlands. Transplant experiments further showed that carcass burial depth – an important trait thought to enhance the competitive ability of the dominant <em>N. orbicollis</em> – is costly in wetland habitats. When in the presence of <em>N. hebes, N. orbicollis</em> buried carcasses deeper; deeper burial is thought to provide a competitive advantage in forests, but further compromised the reproductive success of <em>N. orbicollis </em>in wetlands. Overall, results provide evidence that the Competitive exclusion – tolerance rule underlies habitat partitioning among ecologically similar species, and that the traits important for competitive dominance in relatively benign environments are costly in more challenging environments, consistent with a trade-off.</p>
Data for: Carnivore niche partitioning in a human landscape
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Data from: Carbonate shelf development and early Paleozoic benthic diversity in Baltica: A hierarchical diversity partitioning approach using brachiopod data
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Data from: Isotopic niche variation from the Holocene to today reveals minimal partitioning and individualistic dynamics among four sympatric desert mice
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Data from: Drought effects in Mediterranean forests are not alleviated by diversity-driven water source partitioning
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Crowdsourced data reveal shortcomings in precipitation phase products for rain and snow partitioning
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Data from: Selfish partners: resource partitioning in male coalitions of Asiatic lions
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Data from: Partitioning between atmospheric deposition and canopy microbial nitrification into throughfall nitrate fluxes in a Mediterranean forest
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Data from: Evaluating Sphagnum traits in the context of resource economics and optimal partitioning theories
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Data from: The Competitive exclusion – tolerance rule explains habitat partitioning among co-occurring species of burying beetles
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Data from: Sympatric wren-warblers partition acoustic signal space and song perch height
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Data from: Predatory birds and ants partition caterpillar prey by body size and diet breadth
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Data from: Apex predators and the facilitation of resource partitioning among mesopredators
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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)
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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.