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455 results for “Functional Dependence”
Data from: Condition-dependent immune function in a freshwater snail revealed by stable isotopes
<p>Data are saved as a tab-delimited text file (data.txt). Each row represents one snail individual.</p> <p> </p> <p>The file has the following columns:</p> <p>infection - trematode infection (0 = no, 1 = yes)</p> <p>PO_activity - PO-like activity of haemolymph</p> <p>antibacterial_activity - antibacterial activity of haemolymph</p> <p>shell_length - shell length (mm)</p> <p>faeces - amount of produced faeces (mg)</p> <p>d15N_faeces - δ<sup>15</sup>N value of faeces</p> <p>d13C_faeces - δ<sup>13</sup>C value of faeces</p> <p>C:N_faeces - C:N ration of faeces</p> <p>d15N_tissue - δ<sup>15</sup>N value of tissue</p> <p>d13C_tissue - δ<sup>13</sup>C value of tissue</p> <p>C:N_tissue - C:N ration of tissue</p>
Supporting Dataset for "Comparing GGA, GGA+U, and Meta-GGA Functionals for Redox-Dependent Binding at Open Metal Sites in Metal−Organic Frameworks"
<p>Supporting Dataset for "Comparing GGA, GGA+U, and Meta-GGA Functionals for Redox-Dependent Binding at Open Metal Sites in Metal−Organic Frameworks"</p>
Biodiversity scale-dependence and opposing multi-level correlations underlie differences among taxonomic, phylogenetic, and functional diversity
<p><b>Aim:</b> Biodiversity is a multi-dimensional property of biological communities that represents different information depending on how it is measured, but how dimensions relate to one another and under what conditions is not well understood. We explore how taxonomic, phylogenetic, and functional diversity can differ in scale-of-effect dependence and habitat-biodiversity relationships, and subsequently how spatial differences among biodiversity dimensions may arise.</p> <p><b>Location:</b> Nebraska, United States</p> <p><b>Time period:</b> May-July 2016, 2017</p> <p><b>Major taxa studied:</b> Birds</p> <p><b>Methods:</b> Across 2016 and 2017, we conducted 2,641 point counts at 781 sites. We modeled the occupancy of 141 species using Bayesian Bernoulli-Bernoulli hierarchical logistic regressions. We calculated species richness (SR), phylogenetic diversity (PD), and functional diversity (FD) for each site and year based on predicted occupancy, accounting for imperfect detection. Using Bayesian latent indicator scale selection and multivariate modeling, we quantified the spatial scales-of-effect that best explained the relationships between environmental characteristics and SR, PD, and FD. Additionally, we decomposed the residual between- and within-site biodiversity correlations using our repeated measures design.</p> <p><b>Results:</b> We demonstrate spatial differences among biodiversity predictions, arising from scale-dependence in habitat-biodiversity relationships and variation in correlation structure among biodiversity dimensions. Although relationships between specific land cover types and SR, PD and FD were qualitatively similar, the spatial scales at which these variables were important in explaining biodiversity differed among dimensions. Between-site residual biodiversity correlations were negative, yet within-site biodiversity residual correlations were positive.</p> <p><b>Main conclusions:</b> Our results demonstrate how spatial differences among biodiversity dimensions may arise from biodiversity-specific scale-dependent habitat relationships, low shared environmental correlations and opposing residual correlations between dimensions, which suggest that single-scale and single-dimension analyses are not entirely appropriate for quantifying habitat-biodiversity relationships. After accounting for shared habitat relationships, we found positive within-site residual correlations between taxonomic, phylogenetic, and functional diversity, suggesting that habitat change over time influenced all biodiversity dimensions relatively similarly. However, negative between-site residual correlation among biodiversity dimensions may indicate trade-offs in achieving maximum biodiversity across multiple biodiversity dimensions at any given location. Although habitat management can to a limited degree improve biodiversity relatively across all metrics, other environmental effects may ensure that not all facets of biodiversity can be maximized at once. If maximizing a specific biodiversity dimension is the goal, then care should be taken to consider these within-site residual correlations.</p>
Contrasting soil- and canopy-nurse effects on dependent species in metalliferous systems may be explained by dominant plant functional strategies
<p>Plant-plant interaction studies in metalliferous systems have focused either on the role of facilitation or on the negative effects of elemental allelopathy. However, no studies have investigated both of these effects in the same system, and their relationships with the functional strategy of the nurse species, although this is crucial for the ecological restoration of polluted sites.</p> <p>We assessed the effects of two dominant nurse species, with apparent contrasting strategies, on two target species on a slag heap in the Pyrenees (France). We quantified both long-term soil-engineering and short-term canopy effects on the growth of two target species. We also measured morphological traits and leaf metal concentration of the two nurse species and their effects on air moisture, temperature, and vapour pressure deficit.</p> <p>Nurse functional strategies, as inferred from morphological traits and leaf metal concentration seem to drive their long-term soil engineering effects on target species: Gypsophila repens, the relatively larger and more exploitative species with high leaf metal concentration, had negative long-term effects likely due to elemental allelopathy, whereas Minuartia verna, the relatively smaller and more conservative species with a lower amount of metals in leaves, had neutral long-term effects. Although Gypsophila repens had a slightly stronger positive effect on microclimate than Minuartia verna, this did not turn into higher short-term effects for the target species.</p> <p>Our study highlights the possible role of the nurse's functional strategies in driving the relative importance of long and short-term effects on target species in metalliferous systems. This knowledge is key to increasing our understanding of plant-plant interaction outcomes in metalliferous systems and our ability to restore polluted environments.</p>
Data from: Climatic water availability mainly drives context-dependency of tree functional diversity effects on soil organic carbon storage in European forests
<p>The interplay of forest stand and environmental factors shape soil organic C (SOC) storage in forest ecosystems but little is known about their relative impacts in different soil layers. Moreover, how environmental factors modulate the impact of stand factors, particularly species mixing, on SOC storage, is largely unexplored. In this study conducted in 21 forest triplets (two-species mixed stand and respective monocultures nearby) distributed in Europe, we tested the hypothesis that stand factors (functional identity and diversity) have stronger effects on topsoil (FF+0-10 cm) C storage than environmental factors (climatic water availability, clay+silt content, oxalate-extractable Al - Al<sub>ox</sub>) but that the opposite occurs in the subsoil (10-40 cm). We also tested the hypothesis that functional diversity improves SOC storage under high climatic water availability, clay+silt contents, Al<sub>ox</sub>. We characterized functional identity as the proportion of broadleaved species (beech and/or oak), and functional diversity as the product of broadleaved and conifer (pine) proportions. The results show that functional identity was the main driver of topsoil C storage while climatic water availability had the largest control on subsoil C storage. Contrary to expectations, functional diversity decreased topsoil C storage under increasing climatic water availability but the opposite was observed in the subsoil. Functional diversity effects on topsoil C increased with increasing clay+silt content, while its effects on subsoil C was negative at increasing Al<sub>ox</sub> content. This suggests that functional diversity effect on SOC storage along environmental gradients depends on the specific environmental factor and the soil depth under consideration.</p>
Supplementary material and dataset for article "Structure-Function Relationship of Iron Oxide Nanoflowers: Optimal Sizes for Magnetic Hyperthermia Depending on Alternating Magnetic Field Conditions"
<p>The supporting information file contains additional measurements compared to the main manuscript of the related article: TEM size histograms, SAED and XRD patterns, absorption and fluorescence spectra, DC magnetization curves, AC hysteresis loops, HR-TEM, their FTT patterns and inverse FFT images after applying a mask in the reciprocal space, and various other plots of this multi-parametric study on the structure-properties relations of magnetic iron oxide nanoflowers. Whenever needed for comparison to other experimental results or theoretical fitting, the raw data of all DC magnetization curves, AC hysteresis loops, ZFC-FC magnetization curves vs. temperature (and their derivatives on temperature) are made freely available in this dataset.</p>
Study of the Effects of Risperdal Consta on Brain Reward Circuitry Function, Craving and Cocaine Use in Active Cocaine Dependence
ClinicalTrials.gov study NCT00385801. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Effects of Citicoline on Brain Function and Behavior in Marijuana-Dependent Individuals
ClinicalTrials.gov study NCT00158249. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Data from: Genome duplication effects on functional traits and fitness are genetic context and species dependent: studies of synthetic polyploid Fragaria
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Data from: Climatic water availability mainly drives context-dependency of tree functional diversity effects on soil organic carbon storage in European forests
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Data from: Functional richness shows spatial scale dependency in Pheidole ant assemblages from Neotropical savannas
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Human airway macrophages are metabolically reprogrammed by IFN-γ resulting in glycolysis-dependent functional plasticity
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Biodiversity scale-dependence and opposing multi-level correlations underlie differences among taxonomic, phylogenetic, and functional diversity
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Contrasting soil- and canopy-nurse effects on dependent species in metalliferous systems may be explained by dominant plant functional strategies
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Scale-dependent variation in leaf functional traits clarifies mechanisms of invasion
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Data from: Form–function relationships in a marine foundation species depend on scale: a shoot to global perspective from a distributed ecological experiment
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Data from: Quantifying predator dependence in the functional response of generalist predators
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Functional redundancy in natural pico-phytoplankton communities depends on temperature and biogeography
<p><span><span><span><span><span><span><span><span><span><span><span>Biodiversity affects ecosystem function, and how this relationship will change in a warming world is a major and well-examined question in ecology. Yet, it remains understudied for pico-phytoplankton communities, which contribute to carbon cycles and aquatic food webs year-round. Observational studies show a link between phytoplankton community diversity and ecosystem stability, but there is only scarce causal or empirical evidence. Here, we sampled phytoplankton communities from two geographically related regions with distinct thermal and biological properties in the Southern Baltic Sea, and carried out a series of dilution/regrowth experiments across three assay temperatures. This allowed us to investigate the effects of loss of rare taxa and establish causal links in natural communities between species richness and several ecologically relevant traits (e.g. size, biomass production, and oxygen production), depending on sampling location and assay temperature. We found that the samples' bio-geographical origin determined whether and how functional redundancy changed as a function of temperature for all traits under investigation. Samples obtained from the slightly warmer and more thermally variable regions showed overall high functional redundancy. Samples from the slightly cooler, less variable, stations showed little functional redundancy, i.e. function decreased when species were lost from the community. The differences between regions were more pronounced at elevated assay temperatures. Our results imply that the importance of rare species and the amount of species required to maintain ecosystem function even under short-term warming may differ drastically even within geographically closely related regions of the same ecosystem. </span></span></span></span></span></span></span></span></span></span></span></p>
Data and Scripts for "Real-Time Time-Dependent Density Functional Theory Implementation of Electronic Circular Dichroism Applied to Nanoscale Metal-Organic Clusters"
<p>The xyz files were used for the ECD calculation in the paper :https://arxiv.org/abs/2007.08560<br> gsrun.py: ground-state calculation<br> td_calc.py: time -propagation for ECD<br> cdspecX.py: get rotatory strength for plotting</p>
Data from: Functional diversity of phyllostomid bats in an urban-rural landscape: a scale-dependent analysis
<p>Urbanization is one of the most pervasive landscape transformational processes responsible for novel selection agents promoting functional community homogenization. Bats may persist in those human environments, but the mechanisms responsible for their adaptability and the spatial scales in which landscape imposes environmental filtering remain poorly studied in the Neotropics. We tested the hypothesis that landscape composition interacts with the spatial scale to affect the functional diversity of phyllostomids in an urban-rural gradient. Based on functional traits, we calculated indices of functional richness, divergence, evenness, community-weighted means of morphological traits, and classified species into functional groups. We evaluated the changes of those variables in response to forest, grassland, and urbanized areas at 0.5, 1.25 and, 2 km scales. The number of functional groups, functional richness, and functional evenness tended to be higher in areas far from cities and with higher forest cover, whereas functional divergence increased in more urbanized areas. Our results show that the mean value of wing loading in the assemblage was negatively associated to landscape transformation at several spatial scales. However, environmental filtering driven by grass cover was particularly robust at the 500 m scale, affecting big-sized species with long pointed wings. Retaining natural forest in cattle ranging systems at ~12 km<sup>2</sup> appears to favor bat abundance evenness among functional types in the urban-rural landscape. Recognizing the scale of the effect on phyllostomid functional responses appears to be a fundamental issue for elucidating the spatial extent to which phyllostomid conservation planning in urban-rural landscapes should be addressed.</p>
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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.