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281 results for “community model”
Figure 1. – Eastern English Channel spatial grid using a in Spatiotemporal patterns in marine fish and cephalopods communities across scales: using an autoregressive spatiotemporal clustering model. A study of fish and cephalopods of the Eastern English Channel
Figure 1. – Eastern English Channel spatial grid using a triangular mesh at a 522 km2 (A), 782 km2 (B) and 1043 km2 (C) average scale with the geographic coordinates in WGS84 of all the English Channel groundfish hauls survey from 1995 to 2014 (blue). The red points are the vertices used to define the mesh.
Figure 10 in Spatiotemporal patterns in marine fish and cephalopods communities across scales: using an autoregressive spatiotemporal clustering model. A study of fish and cephalopods of the Eastern English Channel
Figure 10. – Alosa sp. from low (blue) to high (red) median densities of numbers/ km2 in log scale for 522 km2 for the Eastern English Channel.
Figure 4 in Spatiotemporal patterns in marine fish and cephalopods communities across scales: using an autoregressive spatiotemporal clustering model. A study of fish and cephalopods of the Eastern English Channel
Figure 4. – Spatial hierarchical clustering at a 522 km2 scale. The rectangle outlines the communities that where find statistically significant by ASTEC given the approximately unbiased p-values expressed in percentage (red). The light grey numbers represent the edge number of the tree.
Figure 9 in Spatiotemporal patterns in marine fish and cephalopods communities across scales: using an autoregressive spatiotemporal clustering model. A study of fish and cephalopods of the Eastern English Channel
Figure 9. – Eastern English Channel absolute spatiotemporal community from low (blue) to high (red) median densities of numbers/ km2 in log scale for communities, AST522c1 (A), AST522c2 (B).
Figure 8 in Spatiotemporal patterns in marine fish and cephalopods communities across scales: using an autoregressive spatiotemporal clustering model. A study of fish and cephalopods of the Eastern English Channel
Figure 8. – Eastern English Channel spatiotemporal community from low (blue) to high (red) median densities of numbers/ km2 in log scale for communities ST522c1 (A), ST522c2 (B).
Figure S6 in Spatiotemporal patterns in marine fish and cephalopods communities across scales: using an autoregressive spatiotemporal clustering model. A study of fish and cephalopods of the Eastern English Channel
Figure S6. – Eastern English Channel spatiotemporal community from low (blue) to high (red) median densities of numbers/ km2 in log scale for communities ST782c1 (A), ST782c2 (B), ST1043c1 (C), ST1043c2 (D).
Figure S1 in Spatiotemporal patterns in marine fish and cephalopods communities across scales: using an autoregressive spatiotemporal clustering model. A study of fish and cephalopods of the Eastern English Channel
Figure S1. – Spatial correlation matrix at a 782 km2 (A) and 1043 km2 (B) scale displaying correlation from strongly negative (dark blue) to strongly positive (dark red).
Probabilistic Emulation of the Community Radiative Transfer Model Using Machine Learning
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Predicting gut microbial behavior in human diseases via community metabolic modeling and machine learning
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Interspecific trait variability and local soil conditions modulate grassland model community responses to climate
<p><span><span><span><span><span><span><span><span><span><span><span><b> </b>High elevation grasslands provide critical services in agriculture and ecosystem stabilization. However, these ecosystems face elevated risks of disturbance due to predicted soil and climate changes. We experimentally exposed model grassland communities, comprised of three species grown on either local or reference soil, to varied climatic environments along an elevational gradient in the European Alps, measuring the effects on species and community traits. Although species-specific biomass varied across soil and climate, species' proportional contributions to community-level biomass production remained consistent. Where species experienced low survivorship, species-specific biomass production was maintained through increased production of surviving individuals. Species responded directionally to climatic variation, segregating differentially by plant traits (including height, reproduction, biomass, survival, leaf dry weight, and leaf area) across all sites. Local soil variation drove stochastic trait responses across all species. This soil variability obscured climate-driven responses: we recorded no directional trait responses driven by climate. Our species-based approach contributes to our understanding of grassland community stabilization and suggests that these communities show some stability under climatic variation. </span></span></span></span></span></span></span></span></span></span></span></p>
Health Belief Model-Based Survey on Breast Self-Examination Awareness and Practice Among Community-Dwelling Middle-Aged and Older Women
ClinicalTrials.gov study NCT07149636. IPD Sharing: YES. Countries: 1. Publications: 0.
Impact of Providing Medical Records in a Patient-Centered, Community Pharmacy Based, HIV Care Model (HIV-MOI)
ClinicalTrials.gov study NCT03437694. IPD Sharing: NO. Countries: 1. Publications: 0.
Healthy Children, Healthy Communities: Effectiveness of a Multilevel Rural Community Engagement Model for Improving Children's Dietary Intake in Family Child Care Homes
ClinicalTrials.gov study NCT07160530. IPD Sharing: YES. Countries: 1. Publications: 0.
Effectiveness of a Community-delivered Integrated Malaria Elimination (CIME) Model in Myanmar
ClinicalTrials.gov study NCT04695886. IPD Sharing: YES. Countries: 0. Publications: 2.
Health Education Model Led by Community Health Volunteers.
ClinicalTrials.gov study NCT06312462. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Data and code for simulation study and case study in "A Bayesian Dirichlet process community occupancy model to estimate community structure and species similarity"
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Data from: Trophic interactions drive the emergence of diel vertical migration patterns: a game-theoretic model of copepod communities
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Data from: Auxotrophy and intra-population complementary in the 'interactome' of a cultivated freshwater model community
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Data from: Multiresponse algorithms for community-level modeling: review of theory, applications, and comparison to species distribution models
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Interspecific trait variability and local soil conditions modulate grassland model community responses to climate
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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.