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1,271 results for “Data Flow”
Data from: Effective number of breeders provides a link between interannual variation in stream flow and individual reproductive contribution in a stream salmonid
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Data from: Coalescent and biophysical models of stepping-stone gene flow in Neritid snails
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Data from: Do genetic drift and gene flow affect the geographic distribution of female plants in gynodioecious Lobelia siphilitica?
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Data from: Identifying loci under selection against gene flow in isolation with migration models
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UNSW IoT traffic data with packets, flows, and protocols
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Is Niagara Falls a barrier to gene flow in riverine fishes? A test using genome-wide SNP data from seven native species
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Data from: Rapid diversification of the Variable Seedeater superspecies complex despite widespread gene flow
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Data supporting Water flow and temperature interact to determine oxidative status, swimming performance, and dispersal of mosquitofish (Gambusia holbrooki)
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Data from: Fragmented and isolated: limited gene flow coupled with weak isolation by environment in the paleoendemic giant sequoia (Sequoiadendron giganteum)
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Experimental data and linear model for "Asymmetric internal tide generation in the presence of a steady flow"
<p>This dataset contain the experimental data, analyses, and linear model that are described in the manuscript</p> <p>"Asymmetric internal tide generation in the presence of a steady flow". submitted to Journal of Geophysical Research - Oceans.</p> <p>The folder data_density_fields_fluxes contains the experimental density fields (itXX/results/densityfields) and energy fluxes (itXX/results/fluxes) for the five experiments described in the manuscript: exp I (it17), exp II (it16), exp III (it15), exp IV (it13) and exp (V) (it 18).</p> <p>The Dossmannetal_wavesolution.m file is the linear model described in the manuscript for internal wave generation over a ridge.</p>
Data from: Experimental study of high-flow and low-expansion backfill material
High-flow low-expansion backfill materials have been developed to improve difficult slurry pipeline transport and the poor roof-contact effect of many filling materials. The fly ash content was fixed at 80%, and the content of mineral powder was 8.5% - 9.5%, lime was 8.5% - 9.5%, and desulfurized gypsum was 2% - 3%, with a sodium carbonate content of 0.9% - 1.2% and an aluminum powder content of 0.01% - 0.02%. The prepared backfill material processed good fluidity, and the expansion rate of the hardened material reached 2% - 3%, and the compressive strength at 90 d reached 4 MPa - 5.5 MPa. SEM observations indicated that as the aluminum content increased, the ettringite on bubble walls transformed from a fine-needle to a needle-rod shape. Secondly, the hydration products of the system were mainly hydrated calcium silicate gel and ettringite, which interconnected and promoted the formation of the structure. The backfill material had extensive sources of raw materials, low cost, and a simple filling process and good filling effect.
Analytical solution of apparent permeability of a laminated structure with cross flow in the transient flow process-data
<p>This file is the data used in the aritcle "Analytical solution of apparent permeability of a laminated structure with cross flow in the transient flow process"</p>
Supplementary data for the manuscript "Flow and Entrainment Mechanisms around a Freshwater Mussel Aligned with the Incoming Flow"
<p>This repository is associated with the manuscript for Water Resource Research (WRR): Flow and Entrainment Mechanisms around a Freshwater Mussel Aligned with the Incoming Flow. The repository contains the data files for the manuscript.</p>
Data from: Mating system variation in hybrid zones: facilitation, barriers and asymmetries to gene flow
Plant mating systems play a key role in structuring genetic variation both within and between species. In hybrid zones, the outcomes and dynamics of hybridization are usually interpreted as the balance between gene flow and selection against hybrids. Yet, mating systems can introduce selective forces that alter these expectations; with diverse outcomes for the level and direction of gene flow depending on variation in outcrossing and whether the mating systems of the species pair are the same or divergent. We present a survey of hybridization in 133 species pairs from 41 plant families and examine how patterns of hybridization vary with mating system. We examine if hybrid zone mode, level of gene flow, asymmetries in gene flow and the frequency of reproductive isolating barriers vary in relation to mating system/s of the species pair. We combine these results with a simulation model and examples from the literature to address two general themes: (i) the two-way interaction between introgression and the evolution of reproductive systems, and (ii) how mating system can facilitate or restrict interspecific gene flow. We conclude that examining mating system with hybridization provides unique opportunities to understand divergence and the processes underlying reproductive isolation.
Data from: Ecological speciation in sympatric palms: 4. Demographic analyses support speciation of Howea in the face of high gene flow
The idea that populations must be geographically isolated (allopatric) to evolve into separate species has persisted for a long time. It is now clear that new species can also diverge despite ongoing genetic exchange, but few accepted cases of speciation in sympatry have held up when scrutinised using modern approaches. Here, we examined evidence for speciation of the Howea palms of Lord Howe Island, Australia, in light of new genomic data. We used coalescence-based demographic models combined with double digest restriction-site associated DNA sequencing of multiple individuals and provide support for previous claims by Savolainen et al. (Nature 441: 210–213, 2006) that speciation in Howea did occur in the face of gene flow.
Mapping the age of ice of Gauligletscher combining surface radionuclide contamination and ice flow modeling: Radionuclide data
<p>The data corresponds to 239-Pu and 236-U concentrations of 220 samples of ice collected along 5 flowlines at the surface of Gauligletscher in July 2019. Details about the data sampling and analysis can be found in the paper "Mapping the age of ice of Gauligletscher combining surface radionuclide contamination and ice flow modeling", by G. Jouvet, S. Röllin, H. Sahli, J. Corcho, L. Gnägi, L. Compagno, D. Sidler, M. Schwikowski, A. Bauder, and M. Funk. The Cryosphere, 2020.</p>
Data from: Archaeological Central American maize genomes suggest ancient gene flow from South America
<p><span><span><span><span><span><span><span><span><span><span><span>Maize (<i>Zea mays</i> ssp. <i>mays</i>) domestication began in southwestern Mexico ~9,000 calendar years before present (cal. BP) and humans dispersed this important grain to South America by at least 7000 cal. BP as a partial domesticate. South America served as a secondary improvement center where the domestication syndrome became fixed and new lineages emerged in parallel with similar processes in Mesoamerica. Later, Indigenous cultivators carried a second major wave of maize southward from Mesoamerica, but it has been unclear until now whether the deeply divergent maize lineages underwent any subsequent gene flow between these regions. Here we report ancient maize genomes (2,300-1,900 cal. BP) from El Gigante rock-shelter, Honduras, that are closely related to ancient and modern maize from South America. Our findings suggest that the second wave of maize brought into South America hybridized with long-established landraces from the first wave, and that some of the resulting newly admixed lineages were then reintroduced to Central America. Direct radiocarbon dates and cob morphological data from the rock-shelter suggest that more productive maize varieties developed between 4,300 and 2,500 cal. BP. We hypothesize that the influx of maize from South America into Central America may have been an important source of genetic diversity as maize was becoming a staple grain in Central and Mesoamerica.</span></span></span></span></span></span></span></span></span></span></span></p>
Data from:Identification of landscape features influencing gene flow: how useful are habitat selection models?
Understanding how dispersal patterns are influenced by landscape heterogeneity is critical for modelling species connectivity. Resource selection function (RSF) models are increasingly used in landscape genetics approaches. However, because the ecological factors that drive habitat selection may be different from those influencing dispersal and gene flow, it is important to consider their explicit assumptions. We calculated pairwise genetic distances among 301 Alaskan Dall's sheep (Ovis dalli dalli) using an intensive sampling effort and 15 microsatellite loci. We used multiple regression of distance matrices to assess the correlation of pairwise genetic distance and landscape resistance derived from an RSF, and combinations of landscape features hypothesized to influence dispersal. Dall's sheep gene flow was positively correlated with steep slopes, moderate peak normalized difference vegetation indices (NDVI), and open land cover. Whereas RSF covariates were significant in predicting genetic distance, the RSF model itself was not significantly correlated with Dall's sheep gene flow, suggesting that certain habitat features important seasonally (rugged terrain, mid-range elevation) were not influential to breeding dispersal. This work underscores that consideration of both habitat selection and landscape genetics models in developing conservation strategies will ensure resources are managed to meet both the immediate survival needs of a species and allow for long-term genetic connectivity.
Data from: Non-invasive monitoring of temporal and spatial blood flow during bone graft healing using diffuse correlation spectroscopy
Vascular infiltration and associated alterations in microvascular blood flow are critical for complete bone graft healing. Therefore, real-time, longitudinal measurement of blood flow has the potential to successfully predict graft healing outcomes. Herein, we non-invasively measure longitudinal blood flow changes in bone autografts and allografts using diffuse correlation spectroscopy in a murine femoral segmental defect model. Blood flow was measured at several positions proximal and distal to the graft site before implantation and every week post-implantation for a total of 9 weeks (autograft n = 7 and allograft n = 10). Measurements of the ipsilateral leg with the graft were compared with those of the intact contralateral control leg. Both autografts and allografts exhibited an initial increase in blood flow followed by a gradual return to baseline levels. Blood flow elevation lasted up to 2 weeks in autografts, but this duration varied from 2 to 6 weeks in allografts depending on the spatial location of the measurement. Intact contralateral control leg blood flow remained at baseline levels throughout the 9 weeks in the autograft group; however, in the allograft group, blood flow followed a similar trend to the graft leg. Blood flow difference between the graft and contralateral legs (ΔrBF), a parameter defined to estimate graft-specific changes, was elevated at 1–2 weeks for the autograft group, and at 2–4 weeks for the allograft group at the proximal and the central locations. However, distal to the graft, the allograft group exhibited significantly greater ΔrBF than the autograft group at 3 weeks post-surgery (p < 0.05). These spatial and temporal differences in blood flow supports established trends of delayed healing in allografts versus autografts.
Data from: Speciation with gene flow: evidence from a complex of alpine butterflies (Coenonympha, Satyridae)
Until complete reproductive isolation is achieved, the extent of differentiation between two diverging lineages is the result of a dynamic equilibrium between genetic isolation and mixing. This is especially true for hybrid taxa, for which the degree of isolation in regard to their parental species is decisive in their capacity to rise as a new and stable entity. In this work, we explored the past and current patterns of hybridization and divergence within a complex of closely related butterflies in the genus Coenonympha in which two alpine species, C. darwiniana and C. macromma, have been shown to result from hybridization between the also alpine C. gardetta and the lowland C. arcania. By testing alternative scenarios of divergence among species, we show that gene flow has been uninterrupted throughout the speciation process, although leading to different degrees of current genetic isolation between species in contact zones depending on the pair considered. Nonetheless, at broader geographic scale, analyses reveal a clear genetic differentiation between hybrid lineages and their parental species, pointing out to an advanced stage of the hybrid speciation process. Finally, the positive correlation observed between ecological divergence and genetic isolation among these butterflies suggests a potential role for ecological drivers during their speciation processes.
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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)
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.