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885 results for “data strategy”
Data from: Landscape-scale eco-evolutionary dynamics: selection by seed predators and fire determine a major reproductive strategy
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Data from: Metabolism and foraging strategies of mid-latitude mesozooplankton during cyanobacterial blooms as revealed by fatty acids, amino acids and their stable carbon isotopes
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Data from: The microbiota influences the Drosophila melanogaster life history strategy
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Data from: Leaf traits of African woody savanna species across climate and soil fertility gradients: evidence for conservative vs. acquisitive resource use strategies
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Data from: Hydrological niche segregation defines forest structure and drought tolerance strategies in a seasonal Amazon forest
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Data from: Descriptive epidemiology of the 2018 cholera outbreak in Nigeria: implications for the global roadmap strategies
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Data from: Melanin-specific life-history strategies
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Data from: Shift in ecological strategy helps marginal populations of shepherd's purse (Capsella bursa-pastoris) to overcome a high genetic load
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Insights into short and long-term crop-foraging strategies in a chacma baboon (Papio ursinus) from GPS and accelerometer data
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Data from: Is narcissism a slow life history strategy indicator? The answer depends on the LHS instrument
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Data in support of capturing functional strategies and compositional dynamics in vegetation demographic models
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Data from: Water-conscious management strategies reduce per-yield irrigation and soil emissions of CO2, N2O, and NO in high-temperature forage cropping systems.
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Data from: Local tropical forest restoration strategies affect tree recruitment more strongly than does landscape forest cover
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Trust and Acceptance of Lung Cancer Screening Strategies Questionnaire and Data
<p>Lung cancer is one of the deadliest cancers today. Despite the widespread knowledge that early detection is crucial for cancer treatment, the majority of patients are diagnosed in an advanced stage with a significantly shorter 5-year survival rate. Lung cancer screening allows for early detection of cancer before symptoms arise. Currently, there are plans to introduce a lung cancer screening program in the Netherlands. The goal of this study is to gain knowledge about the effect of an individual's degree of trust on the acceptance level for different Lung Cancer Screening Strategies among people living in the Netherlands. This knowledge helps healthcare providers and professionals as well as the developers of screening software. Also, it supports the development of the best possible patient experience in the future. This survey consists of 30<strong> </strong>questions and should not take longer than 10 minutes to complete.</p>
Experimental Data Set for the study "Exploratory Landscape Analysis is Strongly Sensitive to the Sampling Strategy"
<p>This are the feature values used in the study "Exploratory Landscape Analysis is Strongly Sensitive to the Sampling Strategy".</p> <p>The dataset regroups feature values for every "cheap" features available in the R package <em>flacco </em>and are computed using 5 sampling strategies and in dimension <span class="math-tex">\($d=5$\)</span>:</p> <ol> <li>Random: the classical Mersenne-Twister algorithm;</li> <li>Randu: a random number generator that is notoriously bad;</li> <li>LHS: a centered Latin Hypercube Design;</li> <li>iLHS: an improved Latin Hypercube Design;</li> <li>Sobol: points extracted from a Sobol' low-discrepancy sequence.</li> </ol> <p>The csv file <em>features_summury_dim_5_ppsn.csv </em>regroups 100 values for every features whereas <em>features_summury_dim_5_ppsn_median.csv </em>regroups for every feature the median of the 100 values.</p> <p>In the folder <em>PPSN_feature_plots</em> are the histograms of feature values on the 24 COCO functions for 3 sampling strategies: Random, LHS and Sobol.</p> <p>The Python file <em>sampling_ppsn.py</em> is the code used to generate the sample points from which the feature values are computed.</p> <p>The file <em>stats50_knn_dt.csv</em> provide the raw data of median and IQR (inter quartile interval) for the heatmaps and boxplots available in the paper.</p> <p>Finally, the files <em>results_classif_knn100.csv</em> (resp. dt) provide the accuracy of 100 classifications for every settings.</p> <p> </p>
Data and code from: Growth strategies of a model picoplankter depend on social milieu and pCO2
<p><span><span><span><span><span><span><span><span><span><span><span>Aquatic microbial primary producers exist in genetically diverse populations, but are often studied as single lineages, so that interpreting single lineage studies relies critically on understanding how microbial growth differs with social milieu. The properties of lineages grown alone often fail to predict the growth of these same lineages in the presence of conspecifics, and this discrepancy points towards an opportunity to improve our understanding of how multilineage assemblages of a species are shaped. We demonstrate that different lineages of a marine picoplankter modulate their lineage growth rate in response to the presence of non-self conspecifics, even when resource competition is effectively absent. This explains why growth rates of lineages in isolation do not reliably predict their growth rates in mixed culture, or the lineage composition of assemblages. The diversity of growth strategies observed are thus consistent with lineage-specific energy-allocation that depends on social milieu. Since lineage growth is only one of many traits determining fitness in natural assemblages, we propose that in all but the poorest quality environments where allocating maximum energy to growth is the only viable strategy, we should expect intraspecific variation in growth strategies, with more strategies possible in ameliorated environments, such as high CO<sub>2</sub> for many marine picoplankton. </span></span></span></span></span></span></span></span></span></span></span></p>
Data from: Male serrate-legged treefrogs adjust competition strategies according to visual or chemical cues from females
<p>There is increasing evidence that many anurans use multimodal cues to detect, discriminate and/or locate conspecifics and thus modify their behaviors. To date, however, most studies have focused on the roles of multimodal cues in female choice or male–male interactions. In the present study, we conducted an experiment to investigate whether male serrate-legged small treefrogs (Kurixalus odontotarsus) used visual or chemical cues to detect females and thus altered their competition strategies in different calling contexts. Three acoustic stimuli (advertisement calls, aggressive calls and compound calls) were broadcast in a randomized order after a spontaneous period to focal males in one of four treatment groups: combined visual and chemical cues of a female, only chemical cues, only visual cues and a control (with no females). We recorded the vocal responses of the focal males during each 3 min period. Our results demonstrate that males reduce the total number of calls in response to the presence of females, regardless of how they perceived the females. In response to advertisement calls and compound calls, males that perceived females through chemical cues produced relatively fewer advertisement calls but more aggressive calls. In addition, they produced relatively more aggressive calls during the playback of aggressive calls. Taken together, our study suggests that male K. odontotarsus adjust their competition strategies according to the visual or chemical cues of potential mates and highlights the important role of multisensory cues in male frogs' perception of females.</p>
Data from: Changes in ecosystem properties after postfire management strategies in wildfire affected areas
<p>1. Forest are highly vulnerable to global change drivers, such as an increase in wildfire events. Learning more about how and why different postfire management strategies regulate the ability of forest ecosystem properties (e.g., plant diversity and function) to simultaneously recover after wildfire and provide multiple ecosystem functions is of critical importance.</p> <p>2. This study aims to evaluate how unburned, burned managed and burned unmanaged plots regulate the responses of multiple forest ecosystem properties (e.g., plant diversity, nutrient cycling, soil carbon stocks, water regulation, and decomposition and wood production) and overall multifunctionality to wildfires. In September 2017, we selected two postfire management strategies in a 3 km2 watershed previously affected by a wildfire in July 2012: contour-felled log debris (CFD), log erosion barriers area (LEB), and also unburned and unmanaged plots (BNA). We randomly distributed 12 plots among the three postfire management strategies (3 plots per treatment) and unburned.</p> <p>3. The results showed that multiple forest ecosystem properties were significantly affected by wildfire and that specific postfire management treatment (e.g., LEB and CFD) can be used to efficiently support plant diversity and ecosystem functioning. Our results revealed that the general indicators of ecosystem functions decreased in Mediterranean forests after wildfires and postfire management strategies (LEB and CFD) significantly helped to recover the ecosystems' short-term community-level properties and ecosystem functions (5 years after a wildfire event) to prefire levels. </p> <p>4. Synthesis and applications: These findings demonstrate that multiple ecosystem functions are affected by wildfires in Mediterranean forests and show that postfire management treatments can promote multifunctionality and plant diversity. Our results unfold the potential of LEB and CFD as effective strategies for recovering community-level properties and forest functions in the short term.</p>
Data from: The role of functional strategies in global plant distribution
<p>Understanding the determinants of species distributions is a central topic in ecology. Competition, stress tolerance and colonization, respectively represented by Grime's competitor (C), stress-tolerator (S) and ruderal (R) schemes, are three important functions that interactively influence plant distributions. In this study, we compiled a dataset of 2645 vascular plant species to explore the roles of the CSR strategies in global plant distribution. We analyzed the associations between the CSR scores and species range size with phylogenetic generalized least square (PGLS) models and phylogenetic path analysis, both of which accounted for the effects of species phylogenetic relatedness, longevity, and growth form. The functional strategy-range size associations differed across different distributional ranges and growth forms. Specifically, species global and native range sizes were positively associated with the R score; species naturalized range size was positively associated with the C score; and all range-size measurements were negatively associated with the S score. These patterns were mostly driven by herbs but not shrubs or trees. For species global and native-range distributions, the patterns of shrubs were even opposite to those of herbs. Our work emphasizes the importance of distinguishing the functional strategy-distribution associations between different distributional ranges and growth forms for ecosystem conservation and invasion risk prediction, because of the trade-offs among the CSR strategies.</p>
Data from: The influence of life-history strategy on genetic differentiation and lineage divergence in darters (Percidae: Etheostomatinae)
Recent studies determined that darters with specialized breeding strategies can exhibit deep lineage divergence over fine geographic scales without apparent physical barriers to gene flow. However, the extent to which intrinsic characteristics interact with extrinsic factors to influence population divergence and lineage diversification in darters is not well understood. This study employed comparative phylogeographic and population genetic methods to investigate the influence of life-history on gene flow, dispersal ability, and lineage divergence in two sympatric sister darters with differing breeding strategies. Our results revealed highly disparate phylogeographic histories, patterns of genetic structure, and dispersal abilities between the two species suggesting that life-history may contribute to lineage diversification in darters, especially by limiting dispersal among large river courses. Both species also showed striking differences in demographic history, indicating that extrinsic factors differentially affected each species during the Pleistocene. Collectively, our results indicate that intrinsic and extrinsic factors have influenced levels of gene flow among populations within both species examined. However, we suggest that life-history strategy may play a more important role in lineage diversification in darters than previously appreciated, a finding that has potentially important implications for understanding diversification of the rich North American freshwater fish fauna.
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.