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60 results for “Resource Distributions”
Dataset for "Open Educational Resources for distributed hands-on teaching in molecular biology"
<p>This is the raw data for an article that describes novel OER consisting of low cost and locally produced public domain biological reagents, open source hardware and free software collaborative notebooks to teach LAMP DNA amplification, RT-PCR RNA detection, enzyme kinetics and fluorescence imaging. </p>
Resource selection functions based on hierarchical generalized additive models provide new insights into individual animal variation and species distributions
<p>Habitat selection studies are designed to generate predictions of species distributions or inference regarding general habitat associations and individual variation in habitat use. Such studies frequently involve either individually indexed locations gathered across limited spatial extents and analyzed using resource selection functions (RSF), or spatially extensive locational data without individual resolution typically analyzed using species distribution models. Both analytical methodologies have certain desirable features, but analyses that combine individual- and population-level inference with flexible non-linear functions may provide improved predictions while accounting for individual variation. Here, we describe how RSFs can be fit using hierarchical generalized additive models (HGAMs) using widely available software, providing a means to explore individual variation in habitat associations and to generate species distribution maps. We used GPS tracking data from Golden Eagles (Aquila chrysaetos) from across eastern North America with four environmental predictors to generate monthly distribution models. We considered three model structures that assumed different amounts of individual variation in the functional relationship between predictors and habitat use and used k-fold cross-validation to compare model performance. Models accounting for individual variability in shape and smoothness of functional responses performed best. Eagles exhibited the least amount of individual variation in response to land cover variables during winter months, with most individuals more closely adhering to the population-level trend. During summer months, eagles exhibited more substantial individual variation in shape and smoothness of the functional relationships, suggesting some need to account for individual variation in eagle habitat use for both inferential and predictive purposes, during this time of year. Because they allow users to blend flexible functions with random effects structures and are well-supported by a variety of software platforms, we believe that HGAMs provide a useful addition to the suite of analyses used for modeling habitat associations or predicting species distributions.</p>
Data set for Dynamic Service Restoration of Distribution Networks with Volt-Var Devices, Distributed Energy Resources, and Energy Storage Systems
<p>Data for three power distribution systems are presented in this document. The first system consists of 53 nodes and 61 branches. The second is composed of 217 nodes and 219 branches. Finally, the third system consists of 404 nodes and 430 branches. Both distribution systems offer extensive applications in problems related to multi-time service restoration, Volt/Var devices, and distributed energy resource operation.</p>
Protocol for Collecting, Banking and Distributing Human Tissue Samples: St. Jude Children's Research Hospital Tissue Resources Core Facility
ClinicalTrials.gov study NCT01354002. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Data from: "De novo transcriptome assembly and polymorphism detection in ecological important widely distributed Neotropical toads from the Rhinella marina species complex (Anura: Bufonidade)" in Genomic Resources Notes Accepted 1 August 2014-30 September 2014
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Data from: Sex-specific winter distribution in a sexually dimorphic shorebird is explained by resource partitioning
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Data from: Revisiting the functional response in habitat selection for large herbivores: a matter of spatial variation in resource distribution?
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Data from: Predicting future distributions of lanternfish; a significant ecological resource within the Southern Ocean
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Resource selection functions based on hierarchical generalized additive models provide new insights into individual animal variation and species distributions
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Data from: Root vertical distributions of two Artemisia species and their relationships with soil resources in the Hunshandake desert, China
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Data from: Urban nectarivorous bird communities in Cape Town, South Africa, are structured by ecological generalisation and resource distribution
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Data from: Loss of fungal symbionts at the arid limit of the distribution range in a native Patagonian grass – resource ecophysiological relations
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Data from: Distribution and drift dispersal dynamics of a caddisfly grazer in response to resource abundance and its ontogeny
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Data from: Climate, soil resources and microbial activity shape the distributions of mountain plants based on their functional traits
<p>While soil ecosystems undergo important modi cations due to global change, the e ect of soil properties on plant distributions is still poorly understood. Plant growth is not only controlled by soil physico-chemistry but also by microbial activities through the decomposition of organic matter and the recycling of nutrients essential for plants. A growing body of evidence also suggests that plant functional traits modulate spe- cies' response to environmental gradients. However, no study has yet contrasted the importance of soil physico-chemistry, microbial activities and climate on plant species distributions, while accounting for how plant functional traits can in uence species- speci c responses.</p> <p>Using hierarchical e ects in a multi-species distribution model, we investigate how<br> four functional traits related to resource acquisition (plant height, leaf carbon to nitro-<br> gen ratio, leaf dry matter content and speci c leaf area) modulate the response of<br> 44 plant species to climatic variables, soil physico-chemical properties and microbial 100 decomposition activity (i.e. exoenzymatic activities) in the French Alps.</p> <p>Our hierarchical trait-based model allowed to predict well 41 species according to the TSS statistic. In addition to climate, the combination of soil C/N, as a measure of organic matter quality, and exoenzymatic activity, as a measure of microbial decom- position activity, strongly improved predictions of plant distributions. Plant traits played an important role. In particular, species with conservative traits performed bet- ter under limiting nutrient conditions but were outcompeted by exploitative plants in more favorable environments.</p> <p>We demonstrate tight associations between microbial decomposition activity, plant functional traits associated to di erent resource acquisition strategies and plant dis- tributions. is highlights the importance of plant–soil linkages for mountain plant distributions. ese results are crucial for biodiversity modelling in a world where both climatic and soil systems are undergoing profound and rapid transformations.</p>
Data from: Resource distribution mediates social and mating behavior in a family living lizard
The distribution of resources should influence mate availability and the costs and benefits of pursuing different mating strategies. Where resources are dispersed, males may be constrained in the extent to which they can monopolize more than 1 partner, resulting in social and genetic monogamy. There is abundant correlational evidence that resource distribution influences social and mating systems, but experiments that demonstrate a causal link between these variables are relatively rare. Here, we used a replicated experiment involving 160 animals to examine how the distribution of a key resource, crevice sites used as nesting habitat, shapes social and mating behavior of a family living lizard, Liopholis whitii. The distribution of crevice sites had significant effects on several important aspects of the social and mating system. When habitat was aggregated, adults had larger home ranges and overlapped with more individuals of the opposite sex, resulting in increased opportunity for social polygyny. Aggressive female territoriality appears to impose upper limits on opportunities for polygyny by restricting female–female home range overlap. Despite this, males in aggregated habitats still formed polygynous social groups more often than males in dispersed habitat. Aggregated habitat also increased the opportunity for sexual selection, resulting in greater variance in male reproductive success and a steeper Bateman gradient compared with males occupying dispersed habitat. These effects were independent of the increase in social polygyny. Overall, our study is consistent with the hypothesis that habitat structure is fundamentally important to the evolution of social and mating systems.
Fig. 1 in Relationships between morphology, diet and spatial distribution: testing the effects of intra and interspecific morphological variations on the patterns of resource use in two Neotropical Cichlids
Fig. 1. Dispersion of the scores of the first two PCA axes, calculated with the variance matrix of 22 ecomorphological indices. a) Scores classified by the type of environment; b) Scores classified by food resources, where: Emp = empty, Cru = crustacean, Aqu = aquatic insect, Fis = fish, Mol = mollusk, Hig = higher plant, Det = detritus. Dashed line: Crenicichla britskii; dotted line: Satanoperca pappaterra. ARA = Aspect ratio of the anal fin; ARC = Aspect ratio of the caudal fin; ARPt = Aspect ratio of the pectoral fin; ARPv = Aspect ratio of the pelvic fin; PI = Protrusion index; RAA = Relative area of the anal fin; RAD = Relative area of the dorsal fin; RAE = Relative area of the eye; RAPt = Relative area of the pectoral fin; RAPv = Relative area of the pelvic fin; RHM = Relative height of the mouth; RHPd = Relative width of the caudal peduncle; RWPd = Relative width of the caudal peduncle.
Data for the paper 'A Novel Simulation Optimization Framework for Multi Scale Irrigation Water Distribution and Scheduling Considering Crop Growth Process' submitted to Water Resources Research, an AGU journal
<p>This data set contains the data for the paper 'A Novel Simulation Optimization Framework for Multi Scale Irrigation Water Distribution and Scheduling Considering Crop Growth Process' submitted to Water Resources Research, an AGU journal. <span>The settings and crop parameters are consist of maize</span><span><span>(</span></span><span><a title="Ran, 2018 #74" href="#_ENREF_44"><span>Ran et al., 2018</span></a></span><span>; </span><span><a title="Shirazi, 2021 #75" href="#_ENREF_48"><span>Shirazi et al., 2021</span></a></span><span>)</span><span></span><span>, flower</span><span><span>(</span></span><span><a title="Reyhaneh alsadat Mousavi Zadeh Mojarad, 2018 #83" href="#_ENREF_45"><span>Reyhaneh alsadat Mousavi Zadeh Mojarad, 2018</span></a></span><span>; </span><span><a title="Karimi Avargani, 2023 #80" href="#_ENREF_24"><span>Karimi Avargani et al., 2023</span></a></span><span>)</span><span></span><span> and wheat</span><span><span>(</span></span><span><a title="Iqbal, 2014 #76" href="#_ENREF_17"><span>Iqbal et al., 2014</span></a></span><span>; </span><span><a title="Huang, 2022 #79" href="#_ENREF_15"><span>Huang et al., 2022</span></a></span><span>; </span><span><a title="Lyu, 2022 #99" href="#_ENREF_38"><span>Lyu et al., 2022</span></a></span><span>; </span><span><a title="Karimi Avargani, 2023 #80" href="#_ENREF_24"><span>Karimi Avargani et al., 2023</span></a></span><span>)</span><span></span><span>,</span><span> which used for initializing AquaCrop-OS . </span></p>
Data from: Resource distribution mediates social and mating behavior in a family living lizard
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Data from: Climate, soil resources and microbial activity shape the distributions of mountain plants based on their functional traits
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Data from: The interaction between the spatial distribution of resource patches and population density: consequences for intra-specific growth and morphology
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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.