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9,882 results for “Scale”
Cross-scale drivers of woody plant species commonness and rarity in the Brazilian drylands
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Fine-scale temporal dynamics of flower visitors sheds light on the pollination strategy of a dioecious palm in the Ecuadorian Andes
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Large-scale exploration of nitrogen utilization efficiency in Asia region for rice crop: variation patterns and determinants
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Diversity and scale: Genetic architecture of 2,068 traits in the VA Million Veteran Program
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Detecting phylogenetic signal and adaptation in papionin cranial shape by decomposing variation at different spatial scales
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Data from: Heat tolerance in ectotherms scales predictably with body size
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Unraveling the cavity-nesting network at large spatial scales: The biogeographic role of woodpeckers as ecosystem engineers
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Data from: Megagrazer loss drives complex landscape-scale biophysical cascades
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Data from: Modularity and connectivity of nest structure scale with colony size
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Auxiliary supplementary material for the study on plant diversity relationships with satellite-detected phenological variability in USA wetlands at a national scale
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Data from: Using multiple scales of movement to highlight risk-reward strategies of coyotes (Canis latrans) in mixed-use landscapes
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Qualitative survey instruments for a study on equity from a large-scale private-sector healthcare intervention in Ghana and Kenya: the African Health Markets for Equity (AHME) study
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Data from: Ant–scale mutualism increases scale infestation, decreases folivory, and disrupts biological control in restored tropical forests
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Data from: Temporal scale of habitat selection for large carnivores: Balancing energetics, risk and finding prey
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Ecosystem functions of plant diversity: Comparisons from a large-scale marsh restoration experiment in California, USA
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Macrosystems EDDIE Module 4: Macro-Scale Feedbacks
Environmental phenomena are often driven by multiple factors that interact across space and over time. In freshwater lakes and reservoirs worldwide, carbon cycling and subsequent carbon dioxide (CO2) and methane (CH4) fluxes are changing due to local, regional, and continental drivers. In this module, students will learn how to set up a lake model and "force" the model with climate scenarios to test hypotheses about how local and global drivers will interact to promote or suppress greenhouse gas fluxes in different lakes. The overarching goal of this module is for students to explore new modeling and computing tools while learning fundamental concepts about how non-linear macrosystem-level phenomena (e.g., lake greenhouse gas fluxes) can occur through macro-scale feedbacks. The A-B-C structure of this module makes it flexible and adaptable to a range of student levels and course structures. This dataset contains instructional materials and the files necessary to run the complete module. Readers are referred to the GLM science manual (Hipsey et al. 2014; 2019) for further details on model configuration.
Multiple spatial scales affect direct and indirect interactions between a non-native and a native species
Plant–plant interactions influence community assembly and species responses to environmental change. However, species interactions are complex phenomena influenced by context and scale. We conducted a one-year replacement experiment between two grasses in subtropical grasslands (native Axonopus fissifolius and non-native Paspalum notatum) in central Florida, USA. We evaluated interactions between these species at three ecological scales, ‘pairwise interactions’, ‘patch’ (33 cm x 33 cm) and ‘plot’ (1m x 3m), and along a gradient (15 levels) of increasing non-native and decreasing native plot groundcover within enclosures in semi-native pastures. We transplanted 18 individuals of each species per plot (18 × 30 plots = 1080 plants in total) in a 2×2 design intersecting direct pairwise interactions (additional transplanted neighbor: absent/present) with recipient patch type (Axonopus fissifolius/Paspalum notatum). Leaf length, leaf number and plant biomass were measured at the beginning and the end of the experiment along with soil nutrients and pH at patch level. Over 92% of the transplants survived. We observed an interactive effect between patch type (non-native vs. native dominated) and plant abundance at plot level on plant performance, suggesting that indirect effects at larger spatial scales can influence effects at smaller scales. Surprisingly, both species exhibited enhanced performance with increasing abundance of the non-native species at plot level. We discuss several mechanisms explaining these indirect effects including Paspalum notatum induced changes in soil pH, soil feedbacks from the soil microbial community, preconditioning effects of the native species on the recipient soil, and positive density dependence effects after transplantation.
Impacts of large-scale atmospheric-ocean variability on Alaskan fire season severity
Fire is the keystone disturbance in the Alaskan boreal forest and is highly influenced by summer weather patterns. Records from the last fifty-three years reveal high variability in the annual area burned in Alaska and corresponding high variability in weather occurring at multiple spatial and temporal scales. Here we use multiple linear regression (MLR) to systematically explore the relationships between weather variables and the annual area burned in Alaska. Variation in the seasonality of the atmospheric circulation-fire linkage is addressed through an evaluation of both the East Pacific teleconnection field and a Pacific Decadal Oscillation index keyed to an annual fire index. In the MLR, seven explanatory variables and an interaction term collectively explain 79% of the variability in the natural logarithm of the number of hectares burned annually by lightning-caused fires in Alaska from 1950-2003. Average June temperature alone explains one-third of the variability in the logarithm of annual area burned. The results of this work suggest that the Pacific Decadal Oscillation and the East Pacific teleconnection indices can be useful in determining a priori an estimate of the number of hectares that will burn in an upcoming season. This information also provides insight into the link between ocean-atmosphere interactions and the fire disturbance regime in Alaska.
Surface water chemistry:Scale Dependent Nutrient Interactions among Lacustrine Communities
E280 is a long-term study, initiated in 2013, to determine how nutrient retention vs. export in the uplands affects downslope aquatic communities. Experimental work will focus on stoichiometry and patterns of nutrient limitation at different observational scales. Our proposed work will test the hypothesis that with increasing spatial and temporal scale, interactions among limiting nutrients diminish and single factor limitation is increasingly prevalent.
Canopy size, gap size, plant height, and scaled height in NEAT plots at Jornada Basin LTER, Summer 2017
This data package contains estimates of vegetation indicators derived from UAV overflights and comparable field observatons at the NEAT experiment in the Jornada Basin of southern New Mexico, USA. The purpose of this study is to develop a UAV-based remote sensing method that can estimate vegetation indicators in arid and semiarid rangelands. This method was used to characterize six rangeland indicators (canopy size, bare soil gap size, plant height, scaled height, vegetation cover, and bare soil cover) in a semiarid grass-shrub ecosystem at the NEAT site. The drone-based estimates were validated with field measurements by using the standard transect methods (gap intercept, drop disk, and line-point intercept methods) in the spring and summer of 2017. Further, we use these results to show possible applications of drone-based products on arid and semiarid rangelands: the spatially explicit input of an ecological model, to detect and characterize non-stationarity, and to detect landscape anisotropy.
ScienceDex guides
Understand access before you commit
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.