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4 results for “Neighborhood model”
Dataset for "Modeling Neighborhood-Scale Shallow Geothermal Energy Utilization - A Case Study in Berlin"
<p>Dataset with prepared ogs simulations used in the paper "Modeling Neighborhood-Scale Shallow Geothermal Energy Utilization - A Case Study in Berlin".</p> <p>Plese read the README file in the folder first.</p>
Identification of determinants of pollen donor fecundity using the hierarchical neighborhood model
<p>Individual differences in male reproductive success drive genetic drift and natural selection, altering genetic variation and phenotypic trait distributions in future generations. Therefore, identifying the determinants of reproductive success is important for understanding the ecology and evolution of plants. Here, based on the spatially-explicit mating model (the neighborhood model), we develop a hierarchical probability model that links co-dominant genotypes of offspring and candidate parents with the phenotypic determinants of male reproductive success. The model accounts for pollen dispersal, genotyping errors as well as individual variation in selfing, pollen immigration, and differentiation of immigrant pollen pools. Unlike the classic neighborhood model approach, our approach is specially designed to account for excessive variation (overdispersion) in male reproductive success. Using the Bayesian framework, we implemented the estimation method that, among others, allows the selection of phenotypic variables important for male reproductive success as well as the computation of the fraction of total variance in fecundity (<i>R</i><sup>2</sup>) explained by selected variables. Computer simulations showed that our method outperforms both the classic neighborhood model and the two-step approach, where individual fecundities and the effects of phenotypic variables are estimated in separate steps. The analysis of two data examples showed that in wind-pollinated trees, male reproductive success depends on both the amount of produced pollen and the ability to pollen spread. However, despite that the tree size was positively correlated with male fecundity, it explained only a fraction of the total variance in reproductive success, indicating the presence of significant unmeasured factors. Finally, case studies highlighted the importance of accounting for pollen dispersal in the estimation of determinants of plant reproductive success.</p>
Identification of determinants of pollen donor fecundity using the hierarchical neighborhood model
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Datasets for modelling direct CO2 emissions and uptake at neighborhood scale over the urban area of Beijing
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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.