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Dataset results
92 results for “information structure”
Monte Carlo Simulations results for estimating an offshore structure fatigue life with a Fracture Mechanics based crack growth model, after additional information was considered through Bayesian inference at t=13 years
<p>Monte Carlo Simulations results for estimating an offshore structure fatigue life with a Fracture Mechanics based crack growth model, after additional information was considered through Bayesian inference at t=13 years</p>
FIGURES 13–17. Head structures. 13–15. Male antennae. 16, 17 in Additional information on the taxonomy of genus Asclerobia Roesler, 1969 (Lepidoptera; Pyralidae)
FIGURES 13–17. Head structures. 13–15. Male antennae. 16, 17. Heads of flavitinctella, lateral view: 16. Iran, Bandar-AbbasSirjan, ♁711.23; 17. India, Silent Valley, ♀636.22.
Supplementary information to "Material intensity and embodied CO2 benchmark for reinforced concrete structures in Brazil"
<p>This Excel file contains the electronic supplementary information to the manuscript " Material intensity and embodied CO<sub>2</sub> benchmark for reinforced concrete structures in Brazil", including detailed structural design data for the 53 analyzed buildings and the calculation of the structural material quantity and embodied CO2 indicators.</p>
Multiple Joint, Structural Barbell Resistance Exercise Improves Information Processing Speed
ClinicalTrials.gov study NCT04534374. IPD Sharing: YES. Countries: 1. Publications: 1.
Walking Away: Structured Education Versus Written Information for Individuals With High Risk of Developing Type 2 Diabetes
ClinicalTrials.gov study NCT00941954. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Impact of Individualized Structured Information Provision to the Patients, on Diabetes Related Outcomes
ClinicalTrials.gov study NCT02200965. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Structured Information During the Intensive Care Unit Stay
ClinicalTrials.gov study NCT00764933. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Human Learning of New Structured Information Across Time and Sleep
ClinicalTrials.gov study NCT05910762. IPD Sharing: YES. Countries: 1. Publications: 54.
Reducing Intensive Care Unit (ICU) Related Anxiety Through a Structured Information Program
ClinicalTrials.gov study NCT00151554. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Impact of Verbal Compared to Structured Information on Patient's Anxiety and Satisfaction Undergoing Uroflowmetry
ClinicalTrials.gov study NCT07056192. IPD Sharing: NO. Countries: 1. Publications: 6.
Data from: Resolving neutral and deterministic contributions to genomic structure in Syntrichia ruralis (Bryophyta, Pottiaceae) informs propagule sourcing for dryland restoration
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Data from: Building genetic networks using relatedness information: a novel approach for the estimation of dispersal and characterization of group structure in social animals
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Supplementary information for: Using networks to identify structure in phylogenetic tree sets
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Data from: Resolving patterns of population genetic and phylogeographic structure to inform control and eradication initiatives for brown rats Rattus norvegicus on South Georgia
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Data from: Genotyping-in-Thousands by sequencing reveals marked population structure in Western Rattlesnakes to inform conservation status
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Genetic diversity and population structure of two endangered neotropical parrots inform In Situ and Ex Situ conservation strategies
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Data from: Genotyping by sequencing resolves shallow population structure to inform conservation of Chinook salmon (Oncorhynchus tshawytscha)
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Data from: Measuring researchers' potential scholarly impact with structural variations: four types of researchers in information science (1979–2018)
We propose a method to measure the potential scholarly impact of researchers based on network structural variations they introduced to the underlying author co-citation network of their field. We applied the method to the information science field based on 91,978 papers published between 1979 and 2018 from the Web of Science. We divided the entire period into eight consecutive intervals and measured structural variation change rates (DM) of individual authors in corresponding author co-citation networks. Four types of researchers are identified in terms of temporal dynamics of their potential scholarly impact—1) Increasing, 2) Decreasing, 3) Sustained, and 4) Transient. The study contributes to the understanding of how researchers' scholarly impact might evolve in a broad context of the corresponding research community. Specifically, this study illustrated a crucial role played by structural variation metrics in measuring and explaining the potential scholarly impact of a researcher. This method based on the structural variation analysis offers a theoretical framework and a practical platform to analyze the potential scholarly impact of researchers and their specific contributions.
Data from: Robust extraction of quantitative structural information from high-variance histological images of livers from necropsied Soay sheep
Quantitative information is essential to the empirical analysis of biological systems. In many such systems, spatial relations between anatomical structures is of interest, making imaging a valuable data acquisition tool. However, image data can be difficult to analyse quantitatively. Many image processing algorithms are highly sensitive to variations in the image, limiting their current application to fields where sample and image quality may be very high. Here, we develop robust image processing algorithms for extracting structural information from a dataset of high-variance histological images of inflamed liver tissue obtained during necropsies of wild Soay sheep. We demonstrate that features of the data can be measured in a fully automated manner, providing quantitative information which can be readily used in statistical analysis. We show that these methods provide measures that correlate well with a manual, expert operator-led analysis of the same images, that they provide advantages in terms of sampling a wider range of information and that information can be extracted far more quickly than in manual analysis.
Improving the Process of Shared Decision-Making by Integrating Online Structured Information and Self-Assessment Tools
<p>Data of the SDM cases.</p>
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.