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9,882 results for “Scale”
Data from: Mesocosm experiment reveals scale-dependence of movement tendencies in sticklebacks
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Habitat quality effects on the abundance of a coral-dwelling fish across spatial scales
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Climate model experiments of regional-scale tree die-off replaced by grass (select variables at daily time resolution): Part 2
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Validating eDNA Measurements of the Richness and Abundance of Anurans at a Large Scale
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Large-scale interventions may delay decline of the Great Barrier Reef
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Data from: Looking for compensation at multiple scales in a wetland bird community
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Data from: The spatial patterns of community composition, their environmental drivers and their spatial scale dependence vary markedly between fungal ecological guilds
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Snow depth, air temperature, humidity, soil moisture and temperature, and solar radiation data from the basin-scale wireless-sensor network in American River Hydrologic Observatory (ARHO)
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Drivers and projections of global surface temperature anomalies at the local scale
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ASTRAL-MP: scaling ASTRAL to very large datasets using randomization and parallelization
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Data from: A reusable pipeline for large-scale fiber segmentation on unidirectional fiber beds using fully convolutional neural networks
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Replication data for impact evaluation of two large-scale forestry incentive programs in Guatemala
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Ecosystem Scale Measurements of Methyl Halide Fluxes from a Brackish Tidal Marsh Invaded with Perennial Pepperweed (Lepidium latifolium)
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Local-scale thermal history influences metabolic response of marine invertebrates
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Ant-scale mutualism increases scale infestation, decreases folivory, and disrupts biological control in restored tropical forests
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Microbial biomass and soil properties data, global scale,1970s-2010s
The data for Microbial Data System. We will collect data for soil and microbial characteristics in terrestrial ecosystems and update regularly. The date of publications used spans from the late 1970s to 2012. The data were aggregated into 11 major biome types. These data points were collected exclusively for surface soils, primarily 0–15 cm depth with some 0–30 cm. We obtained 3259 data points with geographical information.
National-scale, remotely sensed lake trophic state (LTS-US) 1984-2020
Lake trophic state is a key water quality property that integrates a lake’s physical, chemical, and biological processes. Despite the importance of trophic state as a gauge of lake water quality, standardized and machine readable observations are uncommon. Remote sensing presents an opportunity to detect and analyze lake trophic state with reproducible, robust methods across time and space. We used Landsat surface reflectance and lake morphometric data to create the first compendium of lake trophic state for more than 56,000 lakes of at least 10 ha in size throughout the contiguous United States from 1984 through 2020. The dataset was constructed with FAIR data principles (Findable, Accessible, Interoperable, and Reproducible) in mind, where data are publicly available, relational keys from parent datasets are retained, and all data wrangling and modeling routines are scripted for future reuse. Together, this resource offers critical data to address basic and applied research questions about lake water quality at a suite of spatial and temporal scales.
Extent, impacts, and drivers of oystershell scale invasions in aspen ecosystems in Arizona, USA 2020-2022
Invasive herbivores that kill foundation tree species pose a major threat to forest ecosystem sustainability. One important foundation tree species in the interior western United States is quaking aspen (Populus tremuloides), which is threatened by recent outbreaks of an invasive insect, oystershell scale (Lepidosaphes ulmi; OSS). OSS outbreaks were first reported in 2016, when OSS began causing dieback and mortality of aspen in wildland forest settings in northern Arizona. Since then, OSS has been observed in other locations across Arizona and in other western states, and recent studies in Arizona have highlighted the threat that OSS poses to aspen sustainability, warranting a comprehensive survey of OSS invasions and their impacts on aspen ecosystems. We sampled aspen populations across Arizona and addressed three questions: (1) What is the geographic extent of OSS in Arizona? (2) What impacts does OSS have on aspen? (3) Which biotic and abiotic factors influence OSS abundance? We found that OSS was widespread in central Arizona and had a negative impact on aspen forest health. OSS was associated with crown damage and tree mortality, especially of intermediate-sized, recruiting stems. Climate was the most important driver of plot-level OSS abundance, with warmer, drier conditions resulting in significantly more OSS. OSS was also associated with less recent fire, presence of ungulate management strategies such as fenced exclosures, and stands with a greater density of aspen saplings. We conclude that active management is required to suppress OSS populations and mitigate damage to aspen ecosystems, and we provide OSS monitoring and management recommendations based on our findings.
Quantifying Oystershell Scale Phenology, Intensification, and Spread on Aspen in Arizona 2020-2022
Oystershell scale (OSS; Lepidosaphes ulmi L.) is an invasive insect that threatens sustainability of aspen (Populus tremuloides Michx.) in the southwestern United States. OSS invasions have created challenges for land managers tasked with maintaining healthy aspen ecosystems for the ecological, economic, and aesthetic benefits they provide. Active management is required to suppress OSS populations and mitigate damage to aspen ecosystems, but before management strategies can be implemented, critical knowledge gaps about OSS biology and ecology must be filled. This study sought to fill these gaps by addressing 3 questions: (i) What is the short-term rate of aspen mortality in OSS-infested stands in northern Arizona, USA? (ii) What are the short-term rates of OSS population growth on trees and OSS spread among trees in aspen stands? (iii) What is the phenology of OSS on aspen and does climate influence phenology? We observed high levels of aspen mortality (annual mortality rate = 10.4%) and found that OSS spread rapidly within stands (annual spread rate = 10–12.3%). We found first, second, and young third instars throughout the year and observed 2 waves of first instars (i.e., crawlers), one throughout the summer and a second in mid-winter. The first wave appeared to be driven by warming seasonal temperatures, but the cause of the second wave is unknown and might represent a second generation. We provide recommendations for future OSS research, including suggestions for more precise quantification of OSS phenology, and discuss how our results can inform management of OSS and invaded aspen ecosystems.
Macrosystems EDDIE Module 2: Cross-Scale Interactions
Environmental phenomena are often driven by multiple factors that interact across space and over time. In freshwater lakes and reservoirs worldwide, phytoplankton blooms are increasing in frequency and severity due to interactions between local, regional, and continental drivers, including land use (local) and climate change (regional) drivers. Because it is difficult to predict how phytoplankton blooms will respond to the different aspects of land use and climate change simultaneously, many researchers are using lake simulation models, which provide a powerful tool for exploring the sensitivity of ecosystems to multiple factors. In this module, students will learn how to set up a lake simulation model and "force" the model with climate and land use scenarios to test hypotheses about how local and regional drivers interact to promote or suppress phytoplankton blooms 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 phytoplankton blooms) can occur through cross-scale interactions. 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) for further details on model configuration.
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.