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309 results for “Multidimensional”
Exploring the Multidimensional Impact of Organizational Incentives on the Loyalty of Returned Overseas Faculty: An SEM and Random Forest Analysis
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Research data supporting: "Extended sampling of macromolecular conformations from uniformly distributed points on multidimensional normal mode hyperspheres"
<p>This repository contains protein structures generated by the approach "distributed points Molecular Dynamics using Normal Modes" (dpMDNM). dpMDNM is an enhanced-sampling approach that allows large protein conformational sampling based on normal mode (NM) vector combinations.</p> <p>Input parameter and equilibrated files for Lysozyme and CYP3A4 are provided, including their respective ensemble of structures after conformational exploration combining from 2 to 8 NMs.</p> <p>For more information, please visit the <a href="https://github.com/antonielgomes/dpMDNM">dpMDNM GitHub repository</a>.</p>
Multidimensional XUV Photoemission Spectroscopy of 1T-TiTe2 for different crystal orientations
<p>We performed extreme ultraviolet (21.7 eV) multidimensional angle-resolved photoemission spectroscopy for two different crystal orientations linked to each other by mirror symmetry, we isolate and identify the role of orbital texture in photoemission from the transition metal dichalcogenide 1T-TiTe$_2$. By comparing these experimental results with theoretical calculations based on both a quantitative one-step model of photoemission and an intuitive tight-binding model, we unambiguously demonstrate the link between the momentum-dependent orbital orientation and the emergence of strong intrinsic linear dichroism in the photoelectron angular distributions.</p>
Data for: New insights into multi-component atmospheric wet deposition across China: A multidimensional analysis
<p>Atmospheric wet deposition has attracted much attention because of its removal function of aerosol particles and impact on ecosystem. It is a complex multi-component process due to various pollutants emission sources and reaction processes. However, traditional studies have focused on single components, ignoring the internal relationships and the comprehensive wet deposition level; this has hindered the comprehensive understanding and the assessment of ecological effects of deposition. Here, based on the monitoring of wet deposition across 52 stations during 2013–2018 in China, we used two novel multidimensional methods to investigate multi-component atmospheric wet deposition: network analysis and comprehensive index. Network analysis is a new method that can help us better explore the overall relationship between multiple components. The tighter deposition networks, the stronger relationship between different components, meaning that their source are more similar. We find that with the improvement of human development level and the diversification of energy structure, the deposition relationship networks will become looser. Comprehensive index is a method to realize the fusion of multiple parameters, which can help us explore the comprehensive effect of multi-component atmospheric deposition on ecosystem. We calculated the deposition comprehensive index for different ecological regions and found that it was strongly influenced by human activities (energy consumption, fertilization, and vehicle ownership) and precipitation. The findings presented here provide a new perspective for understanding multi-component atmospheric deposition and potential suggestions for evaluating its comprehensive ecological effects. </p>
Dataset : Towards a Multidimensional Definition of Citizen-Centricity in Digital Government: A Systematic Literature Review
<p>These files contain the raw data used for an article currently under review.</p> <p>The first file contains all the information related to the selection of the studies, while the second contains the data used to analyze the results of the article.</p>
Multidimensional cerebellar computations for flexible kinematic control of movements
<p>Data and figures for the publication "Multidimensional cerebellar computations for flexible kinematic control of movements"</p>
Fig. 3.—Nonmetric multidimensional scaling ordination for the 4 in Effects of fire on small mammal communities in frequent-fire forests in California
Fig. 3.—Nonmetric multidimensional scaling ordination for the 4 habitat variables (overstory cover, oak tree cover, shrub cover, and fire severity index) and elevation and the 11 most commonly captured mammal species in 10 burned and 10 unburned sites from April to July 2004 and 2005 in Yosemite National Park, California. Only variables with a r ≥ 0.7 or the environmental variable with the highest r for that axis (i.e., fire severity r = −0.41 and oak tree cover r = 0.51) are listed on each axis. The R2 was 0.09 and 0.77 for axis 1 and 2, respectively, for a cumulative total of 0.86. The mammal species codes represent the following: CALA, Callospermophilus lateralis; GLSA, Glaucomys sabrinus (r = 0.73 on axis 1); MIXX, Microtus sp.; NEQU, Neotamias quadrimaculatus (r = −0.71 on axis 2); NESP, N. speciosus (r = −0.67 on axis 1); OTBE, Otospermophilus beecheyi; PEBO, Peromyscus boylii; PEMA; P. maniculatus (r = −0.88 on axis 2); SCGR, Sciurus griseus (r = 0.68 on axis 1); SOXX, Sorex sp.; TADO, Tamiasciurus douglasii.
Multidimensional specialization and generalization are pervasive in soil prokaryotes with generalists dominating communities and specialists more central in networks
<p>Project folder to run analyses in the manuscript "<strong>Multidimensional specialization and generalization are pervasive in soil prokaryotes with generalists dominating communities and specialists more central in networks</strong>" with necessary raw and processed data.</p> <p>Manuscript abstract:</p> <p>Habitat specialization underpins biological processes from species distributions to speciation. However, organisms are often described as specialists or generalists based on a single niche axis, despite facing complex, multidimensional environments. Here, we analyzed 236 prokaryotic communities across the United States demonstrating for the first time that 90% of >1,200 prokaryotes followed one of two trajectories: specialization on all niche axes (multidimensional specialization) or generalization on all axes (multidimensional generalization). We then documented that this pervasive multidimensional specialization/generalization had a wide range of ecological and evolutionary consequences. First, multidimensional specialization and generalization are highly conserved with very few transitions between these two trajectories. Second, multidimensional generalists dominated communities because they were 73 times more abundant than specialists. Lastly, multidimensional specialists played important roles in community structure with ~220% more connections in microbiome networks. These results indicate that multidimensional generalization and specialization are evolutionarily stable with multidimensional generalists supporting larger populations and multidimensional specialists playing important roles within communities likely stemming from their overrepresentation among pollutant detoxifiers and nutrient cyclers. Taken together, we demonstrate that the vast majority of soil prokaryotes are restricted to one of two multidimensional niche trajectories, multidimensional specialization or multidimensional generalization, which then has far-reaching consequences for evolutionary transitions, microbial dominance, and community roles. </p>
FIG. 2. Nonmetric multidimensional scaling calculated with the Bray-Curtis distance metric using a in Spatial Variation of False Map Turtle (Graptemys pseudogeographica) Bacterial Microbiota in the Lower Missouri River, United States
FIG. 2. Nonmetric multidimensional scaling calculated with the Bray-Curtis distance metric using a square root transformation and Wisconsin double-standardization. Location is represented by color, and sex is represented by shape. Stress of fit for the ordination is reported at 0.145. Axis titles represent the two dimensions to which the data have been ordinated.
Data from: Specialization: a multidimensional and integrative perspective
<p><strong>Netwotk_information: </strong>Information of every interacting network for which the different specialization metrics were estimated from the repository <a href="https://www.web-of-life.es/">https://www.web-of-life.es/</a> (except data of lichens). Contains the number of species of both classes of organisms, the total number of species of each networks, the country and the coordinates. </p> <p><strong>Lichen_networks: </strong>Information of every interacting network for mycobiont species and <em>Nostoc</em> phylogroups of 9 forests across a latitudinal gradient in Chile. Each sheet of the Excel document shows the incidence matrix of each of the forest.</p> <p><strong>Abstract:</strong> Specialization remains as a controversial and ambiguous term in ecology. Although it has been usually measured using a dichotomic and simplified classification of <em>specialists</em> and <em>generalists</em>, its nature is by far more complex. In the case of biotic interactions, the assignation of these two labels, is usually based on the number of interacting partners (one or few versus many). Here we provide a more precise, quantitative, and objective interpretation of the specialization phenomenon combining three different dimensions and metrics (partner richness, Simpson’s evenness, and d’-index) that offer complementary information to quantify specialization. Hence, partner richness is a metric associated with the <em>specificity</em>, Simpson’s evenness is related with the <em>preference</em> and d’ index with the <em>selectivity</em> of the biotic interactions. Consequently, we propose a 3D specialization space combining these three metrics which allows to identify the degree of biotic specialization fleeing from its simplified historical interpretation. The proposed space was subsequently evaluated in five natural interacting systems (host-parasite, plant-ant, plant-pollinator, plant-disperser, and mycobiont-cyanobacteria) using available data comprising 116 networks with quantitative observations. The results indicate the prevalence of a lax specialization, where most organisms tended to show low values in at least one of the metrics. Predominantly, observations showed high values of specificity and low values of preference and selectivity. This relaxed specialization may provide advantages of being specialized, without sentencing specialization to its limitations when being too tight. The implementation of this framework provides a useful tool that allows to identify specialization in a more objective, integrative, and universal way for future specialization studies.</p>
The D-Mercator method for the multidimensional hyperbolic embedding of real networks
<p>The coordinates and parameters of the multidimensional hyperbolic maps of real networks used in "The D-Mercator method for the multidimensional hyperbolic embedding of real networks".</p>
QUALITOP - Monitoring Multidimensional Aspects of QUAlity of Life After Cancer ImmunoTherapy, an Open Smart Digital Platform for Personalized Prevention and Patient Management
ClinicalTrials.gov study NCT05626764. IPD Sharing: UNDECIDED. Countries: 4. Publications: 1.
Effect of a Tailored Multidimensional Intervention on the Care Burden Among Family Caregivers of Stroke Survivors
ClinicalTrials.gov study NCT04211662. IPD Sharing: YES. Countries: 1. Publications: 17.
A Multidimensional Inpatient Balance Training Class to Improve Functional Outcomes in Rehabilitation Inpatients With ABI
ClinicalTrials.gov study NCT03110237. IPD Sharing: NO. Countries: 1. Publications: 23.
Multidimensional Rehabilitation Programs for Cognitive Impairment in Comorbid Outpatients: a Randomized Controlled Trial
ClinicalTrials.gov study NCT05954741. IPD Sharing: NO. Countries: 1. Publications: 1.
Multidimensional Geriatric Pain Assessment
ClinicalTrials.gov study NCT04789590. IPD Sharing: NO. Countries: 1. Publications: 28.
Multidimensional Individualized Nutritional Therapy for Individuals with Severe COPD
ClinicalTrials.gov study NCT04873856. IPD Sharing: NO. Countries: 1. Publications: 1.
A Study on a Multidimensional Prediction Model for Rupture Risk of Unruptured Intracranial Aneurysms
ClinicalTrials.gov study NCT03133624. IPD Sharing: YES. Countries: 1. Publications: 7.
Early Determinants of Multidimensional Outcome at School Age After Neonatal Arterial Ischemic Stroke
ClinicalTrials.gov study NCT02511249. IPD Sharing: Not stated. Countries: 1. Publications: 5.
Prevention of Disability in the Frail Elderly Person Through an Innovative Customised and Multidimensional Training Programme
ClinicalTrials.gov study NCT06377436. IPD Sharing: NO. Countries: 1. Publications: 11.
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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.