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79 results for “Strategy type”
Data for: Do ectomycorrhizal exploration types reflect mycelial foraging strategies?
<p class="MsoListParagraphCxSpFirst"><span>·<span> </span></span><span>Ectomycorrhizal exploration types are commonly assumed to denote spatial foraging patterns and resource-related niches of extraradical mycelia. However, empirical evidence of the consistency of foraging strategies within exploration types is lacking.</span></p> <p class="MsoListParagraphCxSpMiddle"><span>·<span> </span></span><span>Here, we analysed ectomycorrhizal foraging patterns by incubating root-excluding ingrowth mesh bags filled with six different substrates in mature <em>Picea abies </em>forests. High-throughput sequencing was used to characterize ectomycorrhizal fungal communities in the mesh bags and on adjacent fine roots after one growing season.</span></p> <p class="MsoListParagraphCxSpMiddle"><span>·<span> </span></span><span>Contrary to expectations, many ectomycorrhizal genera of exploration types thought to produce little extraradical mycelium colonised ingrowth bags extensively, whereas genera commonly associated with ample mycelial production occurred sparsely in ingrowth bags relative to their abundance on roots. </span></p> <p class="MsoListParagraphCxSpLast"><span>·<span> </span></span><span>Previous assumptions about soil foraging patterns of exploration types do not seem to hold. Instead, we propose that variation in the proliferation of extraradical mycelium is related to intergeneric differences in mycelial longevity and mobility of targeted resources. </span></p>
Data for accurate cell type deconvolution in spatial transcriptomics using a batch effect-free strategy
<p>Simulated and experimental data used in the ReSort manuscript. It is necessary and sufficient to reproduce the results in the paper.</p>
Рис. 2. Ширина трофической ниши паукообразных в биотопах трех типов: I – поΛупустынная равнина; II – каменистые скΛоны пΛато; III – ΔоΛина со скопΛениями скаΛьных останцев. Fig. 2. The width of the trophic niche of arachnids in biotopes of three types: I – semidesert plain; II – stony slopes of the plateau; III – valley with clusters of rocks. in Comparison of trophic spectra and hunting strategies of some large arachnids (Arachnida: Scorpiones, Solifugae, Aranei) in semi-desert biocenoses of Gobustan (Eastern Azerbaijan)
Рис. 2. Ширина трофической ниши паукообразных в биотопах трех типов: I – поΛупустынная равнина; II – каменистые скΛоны пΛато; III – ΔоΛина со скопΛениями скаΛьных останцев. Fig. 2. The width of the trophic niche of arachnids in biotopes of three types: I – semidesert plain; II – stony slopes of the plateau; III – valley with clusters of rocks.
Data for: Do ectomycorrhizal exploration types reflect mycelial foraging strategies?
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Relative forelimb-hindlimb investment is associated with flight style, foraging strategy, and nestling period, but not nest type
<p>We investigated Dial's 2003 hypothesis that birds that rely more heavily upon flight as their primary mode of locomotion and thus invest more in their forelimbs than hindlimbs will experience selection for smaller body sizes, greater altriciality, and more complex nests. To test this hypothesis, we examined the skeletons of over 2,000 individuals from 313 species representing the majority of avian families and all major branches of the avian tree. We used the lengths of the sternal keel and long bones of the wing relative to the lengths of the leg long bones as an index of relative locomotor investment. We found that locomotor investment was predicted by flight style, foraging method, and length of nestling period, supporting Dial's hypothesis. Soaring birds and birds with more acrobatic flight styles, birds whose foraging methods were heavily reliant upon flight, and whose young spent more time in the nest tended to invest more in their forelimbs relative to hindlimbs. Nest type and body size were not significant predictors of relative forelimb-hindlimb investment, however, suggesting that the relationships among flight style, locomotor investment, and life history are not as tightly intertwined as Dial originally hypothesized.</p>
Data from: A real data-driven simulation strategy to select an imputation method for mixed-type trait data
<p>Missing observations in trait datasets pose an obstacle for analyses in myriad biological disciplines. Considering the mixed results of imputation, the wide variety of available methods, and the varied structure of real trait datasets, a framework for selecting a suitable imputation method is advantageous. We invoked a real data-driven simulation strategy to select an imputation method for a given mixed-type (categorical, count, continuous) target dataset. Candidate methods included mean/mode imputation, k-nearest neighbour, random forests, and multivariate imputation by chained equations (MICE). Using a trait dataset of squamates (lizards and amphisbaenians; order: Squamata) as a target dataset, a complete-case dataset consisting of species with nearly completed information was formed for the imputation method selection. Missing data were induced by removing values from this dataset under different missingness mechanisms: missing completely at random (MCAR), missing at random (MAR), and missing not at random (MNAR). For each method, combinations with and without phylogenetic information from single gene (nuclear and mitochondrial) or multigene trees were used to impute the missing values for five numerical and two categorical traits. The performances of the methods were evaluated under each missing mechanism by determining the mean squared error and proportion falsely classified rates for numerical and categorical traits, respectively. A random forest method supplemented with a nuclear-derived phylogeny resulted in the lowest error rates for the majority of traits, and this method was used to impute missing values in the original dataset. Data with imputed values better reflected the characteristics and distributions of the original data compared to complete-case data. However, caution should be taken when imputing trait data as phylogeny did not always improve performance for every trait and in every scenario. Ultimately, these results support the use of a real data-driven simulation strategy for selecting a suitable imputation method for a given mixed-type trait dataset.</p>
The Effect in Renal Function on Patients With Type 1 Cardiorenal Syndrome Treated With Two Strategies of Furosemide.
ClinicalTrials.gov study NCT04393493. IPD Sharing: NO. Countries: 1. Publications: 1.
A Comparison of Two Treatment Strategies in Older Participants With Type 2 Diabetes Mellitus (T2DM)
ClinicalTrials.gov study NCT02072096. IPD Sharing: YES. Countries: 5. Publications: 1.
A Study to Evaluate Further Therapeutic Strategies With Guselkumab in Participants With Moderate-to-Severe Plaque-Type Psoriasis
ClinicalTrials.gov study NCT03818035. IPD Sharing: YES. Countries: 2. Publications: 2.
A Hybrid Type 2 Trial of Trauma-Focused Cognitive Behavioral Therapy and a Pragmatic Individual-Level Implementation Strategy
ClinicalTrials.gov study NCT04451161. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Comparison of the Efficacy and Safety of Two Intensification Strategies in Subjects With Type 2 Diabetes Inadequately Controlled on Basal Insulin and Metformin
ClinicalTrials.gov study NCT01388361. IPD Sharing: Not stated. Countries: 12. Publications: 1.
Data from: A real data-driven simulation strategy to select an imputation method for mixed-type trait data
Open the record for dataset details and reuse information.
Relative forelimb-hindlimb investment is associated with flight style, foraging strategy, and nestling period, but not nest type
Open the record for dataset details and reuse information.
Data from: Plant functional types broadly describe water use strategies in the Caatinga, a seasonally dry tropical forest in northeast Brazil
<ol> <li><span>In seasonally dry tropical forests, plant functional type can be classified as deciduous low wood density, deciduous high wood density, or evergreen high wood density species. While deciduousness is often associated with drought-avoidance and low wood density is often associated with tissue water storage, the degree to which these functional types may correspond to diverging and unique water use strategies has not been extensively tested. </span></li> <li><span>We examined (1) tolerance to water stress, measured by pre-dawn and mid-day leaf water potential; (2) water use efficiency, measured via foliar δ<sup>13</sup>C; and (3) access to soil water,<i> </i>measured via stem water δ<sup>18</sup>O.</span></li> <li><span>We found that deciduous low wood density species maintain high leaf water potential and low water use efficiency. Deciduous high wood density species have lower leaf water potential and variable water use efficiency. Both groups rely on shallow soil water. Evergreen high wood density species have low<i> </i>leaf water potential, higher water use efficiency, and access alternative water sources. These findings indicate that deciduous low wood density species are drought avoiders, with a specialized strategy for storing root and stem water. Deciduous high wood density species are moderately drought tolerant, and evergreen high wood density species are the most drought tolerant group. </span></li> <li><span><i>Synthesis. </i>Our results broadly support the plant functional type framework as a way to understand water use strategies, but also highlight species-level differences. </span></li> </ol>
Strategies of grain number determination differentiate barely row-types
<p>Gaining knowledge on intrinsic interactions of various yield components is crucial to improve the yield potential in small grain cereals. It is well known in barley that increasing the grain number (GN) preponderantly improves their yield potential; however, the yield components determining GN and their association in barley row-types are less explored. In this study, we assessed different yield components like potential spikelet number (PSN), spikelet survival (SSL), spikelet number (SN), grain set (GS), and grain survival (GSL), as well as their interactions with GN by using a selected panel of two- and six-rowed barley types. Also, to analyze the stability of these interactions, we performed the study in two growth conditions, greenhouse and field. From this study, we found that in two-rowed, GN determination is strongly influenced by PSN rather than SSL and/or GS in both growth conditions. Conversely, in six-rowed, GN is associated with SSL instead of PSN and/or GS. Thus, our study exemplified that increasing GN might be possible by augmenting PSN in two-rowed genotypes, while for six-rowed genotypes, the ability of SSL needs to be improved. We speculate that this disparity of GN determination in barley row-types might be due to the fertility of lateral spikelets. Collectively, this study revealed that the GN of two-rowed largely depends on the developmental trait, PSN, while in six-rowed, it mainly follows the ability of SSL. </p>
Fig. 7. Compounds 2–4, 7 in Guided isolation of daphnane-type diterpenes from Daphne genkwa by molecular network strategies
Fig. 7. Compounds 2–4, 7, and 9 induced apoptosis in A549 cells in 50 μM. (A) Annexin V-FITC/PI staining assay of A549 cells was analyzed by flow cytometry. (B) Quantification of data in (A). The percentage of apoptotic cells was calculated in the bar chart. (*, P <0.05. **, P <0.01. ***, P <0.001. ****, P <0.0001).
Fig. 1 in Guided isolation of daphnane-type diterpenes from Daphne genkwa by molecular network strategies
Fig. 1. MS/MS-based molecular network of extract fractions from Daphne genkwa with the expanded protonated cluster. Molecular ions are represented as pie charts and node sizes based on the degree of correlation between compounds.
Fig. 3 in Guided isolation of daphnane-type diterpenes from Daphne genkwa by molecular network strategies
Fig. 3. ORTEP drawing of compound 1 (displacement ellipsoids are drawn at the 30% probability level).
Therapeutic Strategies for Microvascular Dysfunction in Type 1 Diabetes
ClinicalTrials.gov study NCT05478707. IPD Sharing: Not stated. Countries: 1. Publications: 58.
Polio End-game Strategies - Poliovirus Type 2 Challenge Study
ClinicalTrials.gov study NCT02189811. IPD Sharing: Not stated. Countries: 1. Publications: 1.
ScienceDex guides
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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.