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224 results for “Tradeoff”
Data from: Parents face quantity-quality tradeoffs between reproduction and investment in offspring in Iceland
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Data from: Defense traits of larval Drosophila melanogaster exhibit genetically based tradeoffs against different species of parasitoids
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Data from: Muscle tradeoffs in a power-amplified prey capture system
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Data from: Evaluating the tradeoff between offspring number and survivorship across fishes, amphibians, reptiles and mammals
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Managing the tradeoff between reproduction and survival requires flexibility in behavior and gene regulation in threespined stickleback
GEO Series GSE271894. Gasterosteus aculeatus. 62 samples. Type: Expression profiling by high throughput sequencing.
Cold adaptation of tRNA nucleotidyltransferases: a tradeoff in activity, stability and fidelity
GEO Series GSE98874. Geobacillus stearothermophilus; Bacillus subtilis subsp. subtilis str. 168; Planococcus halocryophilus; Exiguobacterium artemiae. 23 samples. Type: Expression profiling by high throughput sequencing.
The hallmarks of a tradeoff in transcriptomes that balances stress and growth functions
GEO Series GSE227624. Escherichia coli K-12. 38 samples. Type: Expression profiling by high throughput sequencing.
Periplasmic stress contributes to a tradeoff between protein secretion and cell growth in E. Coli Nissle
GEO Series GSE221524. Escherichia coli. 9 samples. Type: Expression profiling by high throughput sequencing.
TRANSCRIPTIONAL AND HORMONAL DEFENCE-GROWTH TRADEOFFS DETERMINE PLANT SURVIVAL AND FITNESS UPON SPIDER MITE INFESTATION
GEO Series GSE255811. Arabidopsis thaliana. 48 samples. Type: Expression profiling by high throughput sequencing.
Multi-Cost Bounded Tradeoff Analysis in MDP - Artifact
<p>This artifact contains the data and scripts to replicate the experiments from the paper</p> <p>```<br> Multi-Cost Bounded Trade-off Analysis in MDP<br> ```<br> by Arnd Hartmanns, Sebastian Junges, Joost-Pieter Katoen, and Tim Quatmann</p> <p> </p>
Data from: Tradeoffs between three forest ecosystem services across the state of New Hampshire, USA: timber, carbon, and albedo
Forests are more frequently being managed to store and sequester carbon for the purposes of climate change mitigation. Generally, this practice involves long-term conservation of intact mature forests and/or reductions in the frequency and intensity of timber harvests. However, incorporating the influence of forest surface albedo often suggests that long rotation lengths may not always be optimal in mitigating climate change in forests characterized by frequent snowfall. To address this, we investigated tradeoffs between three ecosystem services: carbon storage, albedo-related radiative forcing, and timber provisioning. We calculated optimal rotation length at 498 diverse Forest Inventory and Analysis forest sites in the state of New Hampshire, USA. We found that the average optimal rotation lengths across all sites is 94 years (s = 44), with a large cluster of short optimal rotation lengths that were calculated at high elevations in the White Mountain National Forest. Using a regression tree approach, we found that timber growth, annual storage of carbon, and the difference between annual albedo in mature forest versus a post-harvest landscape were the most important variables that influenced optimal rotation. Additionally we found that the choice of a baseline albedo value for each site significantly altered the optimal rotation lengths across all sites, lowering the mean rotation to 59 years with a high albedo baseline, and increasing the mean rotation to 112 years given a low albedo baseline. Given these results, we suggest that utilizing temperate forests in New Hampshire for climate mitigation purposes through carbon storage and the cessation of harvest is appropriate at a site-dependent level that varies significantly across the state.
Data from: Spatially explicit assessment of estuarine fish after Deepwater Horizon oil spill: tradeoffs in complexity and parsimony
Evaluating long-term contaminant effects on wildlife populations depends on spatial information about habitat quality, heterogeneity in contaminant exposure, and sensitivities and distributions of species integrated into a systems modeling approach. Rarely is this information readily available, making it difficult to determine the applicability of realistic models to quantify population-level risks. To evaluate the trade-offs between data demands and increased specificity of spatially explicit models for population-level risk assessments, we developed a model for a standard toxicity test species, the sheepshead minnow (Cyprinodon variegatus) exposed to oil contamination following the Deepwater Horizon oil spill and compared the output with various levels of model complexity to a standard risk quotient approach. The model uses habitat and fish occupancy data collected over five sampling periods throughout 2008-2010 in Pensacola and Choctawhatchee Bays, Florida, to predict species distribution, field-collected and publically available data on oil distribution and concentration, and chronic toxicity data from laboratory assays applied to a matrix population model. The habitat suitability model established distribution of fish within Barataria Bay, Louisiana, and the population model projected the dynamics of the species in the study area over a five-year period (October 2009 – September 2014). Vital rates were modified according to estimated contaminant concentrations to simulate oil exposure effects. To evaluate the differences in levels of model complexity, simulations varied from temporally and spatially explicit, including seasonal variation and location-specific oiling, to simple interpretations of a risk quotient derived for the study area. The results of this study indicate that species distribution, as well as spatially and temporally variable contaminant concentrations, can provide a more ecologically relevant evaluation of species recovery from catastrophic environmental impacts but might not be cost-effective or efficient for rapid assessment needs.
Dataset for McClelland et al. "Crop-yield tradeoffs reduce the climate change mitigation potential of soil"
<p>The zip file in this record contains the post-processed model data for recreating analyses and figures from the manuscript "Crop-yield tradeoffs reduce the climate change mitigation potential of soil." The associated R scripts can be found at a separate Zenodo record, 10.5281/zenodo.13327482.</p>
Data from: Pest tradeoffs in technology: reduced damage by caterpillars in Bt cotton benefits aphids
The rapid adoption of genetically engineered (GE) plants that express insecticidal Cry proteins derived from Bacillus thuringiensis (Bt) has raised concerns about their potential impact on non-target organisms. This includes the possibility that non-target herbivores develop into pests. Although studies have now reported increased populations of non-target herbivores in Bt cotton, the underlying mechanisms are not fully understood. We propose that lack of herbivore-induced secondary metabolites in Bt cotton represents a mechanism that benefits non-target herbivores. We show that, because of effective suppression of Bt-sensitive lepidopteran herbivores, Bt cotton contains reduced levels of induced terpenoids. We also show that changes in the overall level of these defensive secondary metabolites are associated with improved performance of a Bt-insensitive herbivore, the cotton aphid, under glasshouse conditions. These effects, however, were not as clearly evident under field conditions as aphid populations were not correlated with the amount of terpenoids measured in the plants. Nevertheless, increased aphid numbers were visible in Bt cotton compared with non-Bt cotton on some sampling dates. Identification of this mechanism increases our understanding of how insect-resistant crops impact herbivore communities and helps underpin the sustainable use of GE varieties.
Data from: Spatially explicit assessment of estuarine fish after Deepwater Horizon oil spill: tradeoffs in complexity and parsimony
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Data from: Tradeoffs between three forest ecosystem services across the state of New Hampshire, USA: timber, carbon, and albedo
Open the record for dataset details and reuse information.
Data from: Pest tradeoffs in technology: reduced damage by caterpillars in Bt cotton benefits aphids
Open the record for dataset details and reuse information.
Ecologically designed three-member microbial consortia promote growth in Brassicaceae members by modulating growth-defense tradeoff
GEO Series GSE285600. Brassica rapa subsp. chinensis. 24 samples. Type: Expression profiling by high throughput sequencing.
Deep mutational scanning of CYP2C19 reveals a substrate specificity-abundance tradeoff
GEO Series GSE244489. Homo sapiens; synthetic construct. 29 samples. Type: Other.
Vertical and horizontal gene transfer tradeoffs direct plasmid fitness
GEO Series GSE219270. Escherichia coli. 30 samples. Type: Expression profiling by high throughput sequencing.
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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.