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1,197 results for “FLEXIBILITY”
Data from: Flexible oviposition behavior enabled the evolution of terrestrial reproduction
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The complex interplay between evolutionary flexibility and diversification in a family of spiders
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Flexible use of visual and acoustic cues during roost finding in Spix’s disc-winged bat Thyroptera tricolor
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Food discovery is associated with different reliance on social learning and lower cognitive flexibility across environments in a food caching bird
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Data from: Flexible females: nutritional state influences biparental cooperation in a burying beetle
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Adaptation to starvation requires a flexible circadian clockwork in Neurospora crassa (RNAseq)
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Data from: Consistent seasonal flexibility of the gut and its regions across wild populations of a winter-quiescent fish
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Flexible diets enable pollinators to cope with changes in plant community composition
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Data from: Torchtree: flexible phylogenetic model development and inference using PyTorch
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Accelerating development in UAV network digital twins with a flexible simulation framework
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Data from: Flexible drought deciduousness in a neotropical understory herb
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EDI and NEON dataset descriptions and coverage to support the paper "ecocomDP: A flexible data design pattern for ecological community survey data"
This dataset contains an inventory for the paper entitled "ecocomDP: A flexible data design pattern for ecological community survey data" (O'Brien et al), submitted to Ecological Informatics. The paper describes an approach for harmonizing and reformatting community survey data such as organism abundance or cover measurements. Data currently using this data model and workflow approach are from the repository of the Environmental Data Initiative (EDI), the Long Term Ecological Research (LTER) Network, and the National Ecological Observatory Network (NEON). Data were assembled for this analysis in late 2020. The inventory is composed of two tables, describing data from EDI (including LTER) and data from NEON. The EDI inventory includes information for 70 datasets: identifiers for both the original and converted datasets, and basic coverage information such as temporal coverage (range of years and a measurement of sampling evenness), spatial coverage (maximum bounding coordinates and area of the "bounding box"), and taxonomic coverage (taxonomic classes). The NEON inventory contains information from 11 continent-wide NEON data products, divided into individual field sites to be more spatially compatible with EDI and LTER data. Taxonomic coverage is by group (e.g., algae, birds) rather than explicit taxonomic classes. Spatial coverage is the area of a field sampling site polygon. Temporal coverage includes the same minimum and maximum sampling years and temporal evenness measures as for the EDI data plus a count of months during that period when sampling occurred. At the time of data download, NEON data was considered provisional, however identifiers are persistent and now deliver final, "released" data. Also included in the data package is a script to reformat inventory data and create Figure 3 of the paper.
How flexible is tool use in Eurasian jays (Garrulus glandarius)?
<p>Datasets and statistical analyses (R scripts) of a study on tool use in Eurasian jays. Three object-dropping experiments were conducted. Experiment 1 and 2 investigated whether jays could select functional tools (tool selectivity) according to their physical properties, respectively size and shape. Experiment 3 explored jays’ capability of using different tools – sticks – to acquire food for the same apparatus.</p>
Data from: Control of adaptive action selection by secondary motor cortex during flexible visual categorization
<p>Adaptive action selection during stimulus categorization is an important feature of flexible behavior. To examine neural mechanism underlying this process, we trained mice to categorize the spatial frequencies of visual stimuli according to a boundary that changed between blocks of trials in a session. Using a model with a dynamic decision criterion, we found that sensory history was important for adaptive action selection after the switch of boundary. Bilateral inactivation of the secondary motor cortex (M2) impaired adaptive action selection by reducing the behavioral influence of sensory history. Electrophysiological recordings showed that M2 neurons carried more information about upcoming choice and previous sensory stimuli when sensorimotor association was being remapped than when it was stable. Thus, M2 causally contributes to flexible action selection during stimulus categorization, with the representations of upcoming choice and sensory history regulated by the demand to remap stimulus-action association.</p>
A Flexible, Interpretable, and Accurate Approach for Imputing the Expression of Unmeasured Genes - Data
<p>This file contains the data that was used in the paper titled "A Flexible, Interpretable, and Accurate Approach for Imputing the Expression of Unmeasured Genes", which is submitted for review. The preprint is available at <a href="https://www.biorxiv.org/content/10.1101/2020.03.30.016675v1.abstract">https://www.biorxiv.org/content/10.1101/2020.03.30.016675v1.abstract</a></p>
Stone Size on Endoscopic View as a Predictor of Successful Stone Retrieval During Flexible Ureteroscopy: An in Vitro Analysis
<p>Raw data for study: Stone Size on Endoscopic View as a Predictor of Successful Stone Retrieval During Flexible Ureteroscopy: An in Vitro Analysis</p>
A minimal yet flexible likelihood framework to assess correlated evolution
<p>An evolutionary process is reflected in the sequence of changes through time of any trait (e.g. morphological, molecular). Yet, a better understanding of evolution would be procured by characterizing correlated evolution, or when two or more evolutionary processes interact. A wide range of parametric methods have previously been proposed to detect correlated evolution but they often require significant computing time as they rely on the estimation of many parameters. Here we propose a minimal likelihood framework modelling the joint evolution of two traits on a known phylogenetic tree. The type and strength of correlated evolution is characterized by few parameters tuning mutation rates of each trait and interdependencies between these rates. The framework can be applied to study any discrete trait or character ranging from nucleotide substitution to gain or loss of a biological function. More specifically, it can be used to 1) test for independence between two evolutionary processes, 2) identify the type of interaction between them and 3) estimate parameter values of the most likely model of interaction. In its current implementation, the method takes as input a phylogenetic tree together with mapped discrete evolutionary events on it and then maximizes the likelihood for one or several chosen scenarios. The strengths and limits of the method, as well as its relative power when compared to a few other methods, are assessed using both simulations and data from 16S rRNA sequences in a sample of 54 γ-enterobacteria. We show that even with datasets of less than 100 species, the method performs well in parameter estimation and in the selection of evolutionary scenario.</p>
Flexible habitat choice by aphids exposed to multiple cues reflecting present and future benefits
Mothers choose suitable habitats for laying offspring to maximize fitness. Since habitat quality varies in space and time, mothers gather information to choose among available habitats through multiple cues reflecting different aspects of habitat quality at present and in the future. However, it is unclear how females assess and integrate different cues associated with current rewards and future safety to optimize oviposition/larviposition decisions, especially across small spatial scales. Here we tested the individual and interactive effects of leaf surface, leaf orientation and leaf bending direction on larviposition site choice and fitness benefits of wheat aphids (<i>Metopolophium dirhodum</i>) within individual leaves. We found that females preferred upper over lower surfaces for gaining current food-related rewards, downward- over upward-facing surfaces for avoiding potential abiotic risks, and sunken over protruding surfaces for avoiding potential biotic risks. When facing conflicting cues during larviposition, females preferred downward-facing/sunken surfaces over upper surfaces, suggesting that females prioritize potential safety at the cost of current rewards during decision making. Most importantly, our combined-cue experiments showed females still assessed secondary cues (i.e. the upper surface) when first-ranked cues (i.e. the downward-facing/sunken surface) are available, even though females only gained relatively small fitness rewards through secondary cues, and females can integrate different cues associated with current rewards and potential safety in a multiplicative way to make flexible and complex larviposition decisions. Overall, our findings provide new insights into how animals collect and process multi-cue information associated with current rewards and potential safety to maximize fitness at small spatial scales.
TIme domain Flexible Plate Movies
<p>Movies of flexible plate motion. </p>
Data from: Hummingbirds budget energy flexibly in response to changing resources
1. Managing energy stores in response to variable resource availability is a key component to individual fitness, yet because directly measuring energy budgets is difficult, daily energy management is rarely measured. 2. Hummingbirds' energy management is relatively simple to model compared to other endotherms because they have high mass-specific metabolic rates and store little fat. 3. We determined which aspects of the hummingbird daily energy budget (i.e. thermoregulation, daytime activity costs, nighttime costs) change at the individual level in response to environmental variation. 4. We found that daily energy expenditure varied three-fold in two populations of broad-billed hummingbirds (Cynanthus latirostris). 5. Our model indicated the energy budget was distributed in the following proportions: daytime activity, 59% (range 22-84%); thermoregulation, 23% (11 – 32%), basal metabolism, 7% (3 – 16%), and nighttime energy 17% (6 – 37%). Activity costs were higher at the hotter, homogeneous site and during the early-wet season at both sites. 6. Increased daily energy expenditure was related to decreased nectar availability, and not significantly related to temperature or bird mass. With climate change, the indirect energetic costs of shifting resources could have greater impacts on endotherm energy budgets than direct costs such as thermoregulation. Increased foraging and activity costs could decrease the energy available to birds for somatic repair and reproduction, potentially causing differential fitness across seasons and sites.
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.