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Dataset results
153 results for “Behavioral analysis”
Data from: Territoriality modifies the effects of habitat complexity on animal behavior: a meta-analysis
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Application of health belief model for the assessment of COVID-19 preventive behavior and its determinants among students: A structural equation modeling analysis
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Data from: Comprehensive machine learning analysis of Hydra behavior reveals a stable basal behavioral repertoire
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Flexible analysis of animal behavior via time-resolved embedding
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Data from: Research on the mechanical behavior of shale based on multi-scale analysis
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Analysis of cell-type-specific chromatin modifications and gene expression in Drosophila neurons that direct reproductive behavior
GEO Series GSE153901. Drosophila melanogaster. 250 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Behavioral and Gene Expression Analysis of Stxbp6-Knockout Mice
GEO Series GSE169726. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
Integrative analysis of behavioral, syaptic, and genomic plasticity in the hippocampus
GEO Series GSE100225. Mus musculus. 54 samples. Type: Expression profiling by high throughput sequencing.
Revealing the increased stress response behavior through transcriptomic analysis of adult zebrafish brain after chronic and low to moderate dose rates of ionizing radiations
GEO Series GSE206573. Danio rerio. 21 samples. Type: Expression profiling by high throughput sequencing.
Analysis of cell-type-specific chromatin modifications and gene expression in Drosophila neurons that direct reproductive behavior [TRAP II]
GEO Series GSE153900. Drosophila melanogaster. 16 samples. Type: Expression profiling by high throughput sequencing.
Analysis of cell-type-specific chromatin modifications and gene expression in Drosophila neurons that direct reproductive behavior [TRAP I]
GEO Series GSE153899. Drosophila melanogaster. 18 samples. Type: Expression profiling by high throughput sequencing.
Transcriptomic Analysis of Instinctive and Learned Reward-Related Behaviors in Honey Bees
GEO Series GSE85433. Apis mellifera. 48 samples. Type: Expression profiling by high throughput sequencing.
Transcriptomic analysis of paternal behaviors in prairie voles
GEO Series GSE190213. Microtus ochrogaster. 69 samples. Type: Expression profiling by high throughput sequencing.
Data from: Morphometric analysis of graphoglyptid trace fossils in two dimensions: implications for behavioral evolution in the deep sea
Graphoglyptids are deep-marine trace fossils, often found preserved as casts in positive relief on the base of turbidites. Previous analyses of the behavioral evolution of graphoglyptids suggested they were slowly diversifying, becoming optimized, and getting smaller over time until the Late Cretaceous, when a sudden increase in diversification occurred. This current study quantifies the morphology of approximately 400 different graphoglyptid specimens, ranging in age from the Cambrian to the present, in order to evaluate the behavioral evolutionary interpretations made previously. Results from this study indicate that although some general evolutionary patterns can be discerned, they are not as straightforward as previously reported. Different topological categories of trace fossils represent organisms' responses to evolutionary pressures in unique ways. While burrow widths of meandering traces were becoming smaller over time, as predicted by previous workers, the burrow widths of the network traces were becoming smaller only until the Late Cretaceous, when they started to get larger again. The times of significant evolutionary changes in behavior were not consistent among various topological categories, with some morphological features being affected in the Late Cretaceous and others during the beginning of the Eocene. It is likely that the behavioral evolution of graphoglyptids was influenced by deep-marine global influences linked to climate change, glaciation, and deep-ocean warming. These influences affected each topological group uniquely, suggesting that different species or genera of trace makers were creating each of the topological categories. This is contrary to the hypothesis that all graphoglyptids were created by closely related species.
Data and R-Code from: How to account for behavioral states in step-selection analysis: a model comparison
<p>This repository provides the R-code and data used for the simulation and case study of the research paper: "How to account for behavioral states in step-selection analysis: a model comparison".</p><p>The folder "<strong>Pohle_et_al_2023_BehavioralStates_iSSA_Data</strong>" contains the landscape rasters used for data generation in the simulation study, and the bank vole (<i>Myodes glareolus</i>) movement data used in the case study on bank vole interactions:</p><ul><li>landscape10.RData and landscape50.RData: Landscape rasters for the simulation study.</li><li>Vole_case_control.rds: Case-control bank vole data for the case study.</li><li>Info_replicates.rds: Information about bank vole indiviuals and corresponding replicates for the case study.</li><li>Codebook_case_study.xlsx: Codebook for the case study data sets.</li><li>Read_me.txt</li></ul><p>The folder "<strong>Pohle_et_al_2023_BehavioralStates_iSSA_RCode</strong>" contains the R-scripts for the simulation and case study:</p><ul><li>Functions.R: Functions to apply HMMs, TS-iSSAs, and HMM-iSSAs to movement data; used for the simulation and case study.</li><li>Simulation_study.R: R-Code to run the simulation study. Parallel computation is used.</li><li>Results_simulation_study.R: R-Code to create the result figures and tables for the simulation study.</li><li>Case_study.R: R-Code to run the bank vole interaction case study. Parallel computation is used.</li><li>Results_case_study.R: R-Code to create the result figures and tables for the case study.</li><li>Read_me.txt</li></ul><p>Besides the simulation and case study from the paper, the included functions (<i>Functions.R</i>) can generally be used to perform an HMM-iSSA analysis.</p><p>For the bank vole movement data without control locations, see: Schlägel, U.E. et al. (2019). Data from: Estimating interactions between individuals from concurrent animal movements [Dataset]. Dryad. <a href="https://doi.org/10.5061/dryad.rt535m8">https://doi.org/10.5061/dryad.rt535m8</a>.</p><p><strong>Acknowledgements</strong></p><p>We thank Sophie Eden, Angela Puschmann and Pauline Lange for help with the bank vole data collection and maintenance of the outdoor enclosures.</p><p> </p><p> </p>
How disconnected are slogans from action? Analysis of the joint effect of multiple factors that stimulate employees' innovation behavior
<p><strong>How disconnected are slogans from action? Analysis of the joint effect of multiple factors that stimulate employees' innovation behaviorHow disconnected are slogans from action? Analysis of the joint effect of multiple factors that stimulate employees' innovation behavior.DATE</strong></p>
Figure 1 in A behavioral analysis of achromatic cue perception by the ant Cataglyphis aenescens (Hymenoptera; Formicidae)
Figure 1. The spatial arrangement of the Y-maze binary choice apparatus.
Numerical analysis and machine learning techniques on the behavior of FRP confined circular reinforced concrete columns
<p>This study presents a comprehensive nonlinear finite element study on the behavior of circular fibre reinforced polymer (FRP) confined reinforced and plain concrete columns under concentric loads. For this investigation, 65 test models with a combination of spiral hoop reinforced concrete, concrete with longitudinal and circular hoop reinforcements, and FRP confined plain concrete were designed . Four different machine learning (ML) techniques were developed to predict the ultimate axial load and strain at the tensile rupture of FRP. The accuracy of the proposed finite element model (FEM) was verified by comparing it with the existing experimental test results. The impact of unconfined concrete strength, hoop reinforcement ratio, thickness of FRP, and spiral hoop spacing on the confinement effectiveness, load-carrying capacity, and ductility behavior of circular FRP confined concrete columns were demonstrated. The parametric analysis found that axial load capacity of FRP-confined concrete columns increased when unconfined concrete strength increased, while low-strength confined concrete achieved a larger strength improvement ratio than high-grade concrete. The investigation also revealed that the thickness of the confining FRP has a significant impact on the confinement effectiveness of hoop reinforcement. The correlation between the FEM and experimental tests yielded 99.60% R<sup>2</sup> for ultimate axial load and 93.40% R<sup>2</sup> for ultimate strain. Extra tree regressor (ETR) and gradient boosting of ML yielded accurate predictions of ultimate axial load and strain at the tensile rupture of FRP compared to other approaches, but ETR has the best comprehensive prediction performance using the comprehensive ranking system. Overall, ETR can be applied in the ultimate axial load and strain prediction of circular FRP confined reinforced and plain concrete columns under concentric loads, conserving resources, time, and cost through laboratory testing.</p> <p> </p> <p> </p> <p> </p> <p> </p>
Neonatal DNA methylation and childhood low prosocial behavior: An epigenome-wide association meta-analysis
<p>Summary statistics from the EWAS meta-analysis of childhood low prosocial behavior</p>
HPV in Sinonasal Ca: Retrospective Analysis Association of Human Papilloma Virus (HPV) Serology and Behavioral Risk Factors
ClinicalTrials.gov study NCT04979000. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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.