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153 results for “Behavioral analysis”
Data from: Interspecific analysis of vehicle avoidance behavior in birds
Among the most widespread forms of anthropogenic modification of the natural landscape is road construction, with vehicle mortality a major issue affecting amphibians, reptiles, mammals, and birds. Why some species are more susceptible to vehicle collision than others, however, is poorly understood. We examine how roadside vegetation patterns, road size, vehicle speed, and brain size influence vehicle avoidance behavior using more than 3700 individuals of 11 species of European birds. We find that on larger roads and at higher vehicle speeds, birds were more likely to fly away from the road than to cross it. Moreover, species with a larger relative brain size flew away from the road more often than species with a small brain size, something that may in part explain interspecies differences in vehicle collision mortality rates. Our results provide important insights into factors that influence vehicle avoidance behavior in birds and show that brain size can be an important trait for adjusting to novelties in their environment.
SpaceAnimal: Pose estimation and tracking dataset for multi-animal behavior analysis on the China Space Station
<p>Pose estimation and tracking dataset for multi-animal behavior analysis on the China Space Station. Scientific Data, 2025</p>
A Computational Analysis of the Ideological Landscape of Turkey and Electoral Behavior
Open the record for dataset details and reuse information.
Behavioral Data Cluster Analysis
<p>The data set includes the main behavioral readouts (mean % prepulse inhibition, social preference index, % alternation in the Y-maze, and total distance moved in the open field) used for cluster analyses in the poly(I:C)-based mouse model of maternal immune activation. </p>
Artifact for An Extensive Empirical Study of Nondeterministic Behavior in Static Analysis Tools
<p>This repository contains data for 'An Extensive Empirical Study of Nondeterministic Behavior in Static Analysis Tools' and the source code of the tool NDDetector that is used for performing the experiments in RQ2.</p><p>There are two directories, data and tool:</p><p><data> contains the data for the conclusion made in the two research questions, RQ1 and RQ2. (rq1 is Research Question 1s data)</p><p>In rq1/ there are:</p><p>final_results.csv - Contains 43 distinct results from 4 repositories (SOOT, WALA, FlowDroid, DroidSafe) that fix or report nondeterminism.</p><p>summary.pdf - Reports the number of nondeterminism results by tool repository at each stage of the qualitative study.</p><p>categorization.pdf - Reports the number of nondeterminism results by root cause categories at each component of analysis codebase in which the nondeterminism takes place</p><p>raw_data.zip - Contains the raw commits and issues extracted from 9 repositories (SOOT, DOOP, WALA, FlowDroid, DroidSafe, AmanDroid, TAJS, Code2Flow, PyCG)</p><p>key_words_results.zip - Contains the results extracted by each keyword (concurrency, concurrent, consistent, determinism, deterministic, different, flakiness, flaky, parallel, thread) from the raw data.</p><p>In rq2/ there are:</p><p>ICSE2024_AGGREGATE_DATA.csv - Contains the result distributions of each combination of target program, configuration hash, and tool aswell as the calculated consistency score.</p><p>analyze_results.py - Script that makes this data.</p><p>node_freqs - Contains the frequency of each node in the nondeterministic results we observed,it also keeps track of whether this particular node is a callee or caller or source/sink.</p><p>edge_dists - Contains the actual edge distributions of all of our results that behaved nondeterministically. it contains, for each result (edge/flow) across repetitions, which repetitions did or did not contain this edge/flow and which did. This means if you are interested in the actual differences across results generated by tool edge_dists/ is the place to look.</p><p>figure_8 - The raw data and occurences per node sheet for generating Figure_8.</p><p><tool> contains the framework and its source code that we used for conducting the experiments as well as the scripts that are used to post-process the detected nondeterminstic behavior and generate the summarized results in Section 4.</p>
Academia as a Driver of Change: A Bibliometric Analysis of Pro-Environmental Behavior in Higher Education Institutions
<p>Web of Science dataset</p>
Uncoupling of Behavioral and Metabolic Twenty-Four-Hour Rhythms in Reindeer (Current Biology, Meier et al. 2024): Metabolomics analysis tables: Annotation list, pathway analysis outputs, target list for targeted peak exstraction and MS/MS spectra of annotated features
<p><span>Metabolomics analysis tables: Annotation list, pathway analysis outputs, target list for targeted peak exstraction and MS/MS spectra of annotated features</span></p>
A computationally efficient method for parameter sensitivity analysis of microbially-explicit biogeochemical models accounting for long-term behavior
<p>The dataset is for the manuscript entitled "A computationally efficient method for parameter sensitivity analysis of microbially-explicit biogeochemical models accounting for long-term behavior".</p>
Data for behavioral state-dependent habitat selection analysis of translocated female greater sage-grouse, North Dakota 2018-2020
<p>This dataset is associated with the article, "Behavioral state-dependent habitat selection and implications for animal translocations" (Picardi et al., 2021, Journal of Applied Ecology).</p> <p>Post-release monitoring of translocated animals can be used to inform future translocation protocols. In particular, quantifying habitat selection of translocated individuals may help identify features that characterize suitable settlement habitat and inform the choice of future release sites; however, because translocated animals undergo post-release behavioral modification, the underlying behavioral state needs to be taken into account.</p> <p>We analyzed behavioral state-dependent habitat selection in female greater sage-grouse (<i>Centrocercus urophasianus</i>) translocated from Wyoming to North Dakota, USA, using Hidden Markov Models in combination with Integrated Step Selection Analysis. This dataset includes GPS tracks (resampled at a 6-hour resolution using a Continuous Time Movement Model) for 48 individuals translocated between 2018 and 2020, along with environmental variables associated with each location. We segmented each track into behavioral phases corresponding to an exploratory state, characterized by broad and directed movements, and a restricted state, characterized by short and tortuous movements. Then, we quantified habitat selection in each state while also accounting for seasonality and individual reproductive status.</p> <p>Habitat selection of translocated sage-grouse differed between the post-release exploration and the settlement phase. While in the exploratory state, sage-grouse exhibited natal habitat preference induction by selecting for high sagebrush cover, typical of their natal area but not of the release area. In the restricted state, sage-grouse selected for gentle topography and also adjusted their habitat selection based on the season and their reproductive needs.</p>
Kinematic analysis of social interactions deconstructs the evolved loss of schooling behavior in cavefish
<p>Video tracking software (<a href="https://zenodo.org/api/files/cfb2f8f7-ecb0-4ef8-a16c-3f50e620549c/trilab-tracker-0.2.0.zip?versionId=ec71e34e-8049-450e-b00e-102d67cc3a43">trilab-tracker-0.2.0.zip</a>) and dataset (<a href="https://zenodo.org/api/files/cfb2f8f7-ecb0-4ef8-a16c-3f50e620549c/dataset.zip?versionId=025b9b87-2b06-4012-adb3-cd1b508d5bd1">dataset.zip</a>) for the research article "Kinematic analysis of social interactions deconstructs the evolved loss of schooling behavior in cavefish". The latest version of Trilab-Tracker can be found at <a href="https://github.com/yffily/trilab-tracker">https://github.com/yffily/trilab-tracker</a>.</p>
Global analysis of cell behavior and protein localization dynamics reveals region-specific functions for Shroom3 and N-cadherin during neural tube closure
<p>Failures of neural tube closure are common and serious birth defects, yet we have a poor understanding of the interaction of genetics and cell biology during neural tube closure. Additionally, mutations that cause neural tube defects (NTDs) tend to affect anterior or posterior regions of the neural tube but rarely both, indicating a regional specificity to NTD genetics. To better understand the regional specificity of cell behaviors during neural tube closure, we analyzed the dynamic localization of actin and N-cadherin via high-resolution tissue-level time-lapse microscopy during Xenopus neural tube closure. To investigate the regionality of gene function, we generated mosaic mutations in shroom3, a key regulator or neural tube closure This approach elucidates new differences between cell behaviors during cranial/anterior and spinal/posterior neural tube closure, provides mechanistic insight into the function of shroom3 and demonstrates the ability of tissue-level imaging and analysis to generate cell-biological mechanistic insights into neural tube closure.</p>
Behavioral analysis for market anomalies with heterogeneous agent model
<p>This paper investigates the effect of heterogeneity and bounded rationality on market anomalies in price formation. We establish a heterogeneous agent model under prospect theory, where asset price fluctuation is determined by evolutionary dynamics system embedded in the model. Specifically, our model includes three types of expectation schemes related to different decision-making progresses: the rational scheme, the emotional scheme and the noise scheme. Agents under emotional scheme make decisions based on the cumulative prospect theory framework, which makes psychological factor tractable. By analyzing the distribution of return rate under selected parameters, we show that the model return shares the same pattern as those of SSE 50 Index. Furthermore, we investigate the factors of option implied volatility smile based on dynamic system, and the results suggest that the smile anomaly may be associated with the tail risk of the underlying asset's return distribution, which is effected by market stability and psychological factors.</p>
FIGURE 6 in Taxonomic status of Parotia berlepschi Kleinschmidt, 1897 based on analysis of external appearance, voice and behavior (Aves: Paradisaeidae)
FIGURE 6. Two courtship behaviors documented in P. berlepschi: (A) horizontal perch pivot, which involves the male adopting a rigid horizontal body posture, head and tail held up and flank plumes flared outward from the body so that the white portions form two semi-circular 'disks' that emanate from either side of the body while the body is pivoted side-to-side in a way that accentuates the white plumes; (B) leaf presentation, which is a modifier display that involves holding a yellow or light colored leaf in the bill while performing other displays. Derived from photos ML 48065351 and 48068531.
FIGURE 5 in Taxonomic status of Parotia berlepschi Kleinschmidt, 1897 based on analysis of external appearance, voice and behavior (Aves: Paradisaeidae)
FIGURE 5. Spectrograms of advertisement vocalizations of P. berlepschi (A, B) compared with those from two geographically varying populations within the P. carolae group (C, D). P. berlepschi has two primary advertisement vocalizations: (A) a shrill two-note form reminiscent of a squeaky toy and (B) a shrill four-note, slightly ascending whinny. In comparison, P. carolae from Mt. Stolle (C) gives a powerfully whistled three-note advertisement vocalization, and P. carolae from Crater Mountain (D) gives a single frantic quavering whistle-note. Spectrograms C and D are modified from Scholes (2006).
FIGURE 3 in Taxonomic status of Parotia berlepschi Kleinschmidt, 1897 based on analysis of external appearance, voice and behavior (Aves: Paradisaeidae)
FIGURE 3. Forehead, facial, and crown appearance of P. berlepschi specimen MZB 30.666 (A–C) compared to P. carolae specimen AMNH 302376. Notable characters differentiating P. berlepschi from P. carolae include the all black loral feathering on the frontal crest of P. berlepschi (A, C) versus the extensively white-tipped loral feathering of P. carolae (D, F); the narrow coppery-bronze stripe from above the eye to the crown of P. berlepschi (A) versus the more extensive, crescent shaped, coppery facial markings in front of the eye of P. carolae; the darker malar, cheek and throat, including the "whiskers" of P. berlepschi (B) compared to the straw-colored appearance of the same feathering in P. carolae (D, E). Note the appearance of the frontal crest in the "open" position (C, F).
FIGURE 4 in Taxonomic status of Parotia berlepschi Kleinschmidt, 1897 based on analysis of external appearance, voice and behavior (Aves: Paradisaeidae)
FIGURE 4. Female facial markings and eye color of (A) P. berlepschi and (B) P. carolae. The forehead of P. berlepschi has more extensive white in the middle, which extends almost to the fore-crown; the brown loral patch is also more extensive with less white near the base of the upper mandible; and the supercilium extends further back onto the nape and is whiter than in P. carolae. Eye color of female-plumaged P. berlepschi is pale grey-blue (A) versus yellow in P. carolae (B). Note: the difference in tint between the two photos is largely due to differing white balance and flash settings, which make the plumage of the P. carolae image look more "warm" (orange) than the P. berlepschi image which is shifted slightly toward the "cooler" (blue) end. Image (A) is of a bird in the hand taken by BB. Image (B) is modified from photo ML 48068781.
FIGURE 2 in Taxonomic status of Parotia berlepschi Kleinschmidt, 1897 based on analysis of external appearance, voice and behavior (Aves: Paradisaeidae)
FIGURE 2. Forehead, facial, crown and nape appearance of living P. berlepschi (A–D) as compared to living P. carolae (E–H). Notable characters that differentiate P. berlepschi from P. carolae include the all-black loral feathering on the frontal crest of P. berlepschi (A–C) versus the extensively white-tipped loral feathering of P. carolae (E–H); the eye-to-crown "tiara" of P. berlepschi (B, C) versus the more extensive coppery facial markings in front of and surrounding the eye of P. carolae; the darker malar, cheek and throat of P. berlepschi (A, B) versus the much lighter straw colored appearance of P. carolae (F); the almost nonexistent coppery-bronze hind crown patch of P. berlepschi (C) versus the extensive one visible at all times on the crown of P. carolae (G); the grey-blue eye color of P. berlepschi (A, B) versus the bright lemon yellow of P. carolae (E, F) and the rich bronzy sheen on the nape and upper mantle of P. berlepschi (D) compared to the black nape of P. carolae (H). Plates derived from photos ML 48065581 (A), 48065591 (B), 48065601 (C), 48065621 (D), 48068971 (E), 48068791 (F), 48068861 (G) and 48152301 (H).
FIGURE 1 in Taxonomic status of Parotia berlepschi Kleinschmidt, 1897 based on analysis of external appearance, voice and behavior (Aves: Paradisaeidae)
FIGURE 1. Parotia-specific plumage ornaments referenced herein: (A) frontal crest, (A1) loral tufts, (A2) supranarial tufts and (A3) forehead tufts, (B) crown patch, (C) throat "whiskers", and (D) mantle cape. Modified from Scholes (2006), which was modified from Frith & Beehler (1998) and Schodde & McKean (1973).
Evolution of digital consumer behavior: A bibliometric analysis of the impact of social networks on purchase determinations
<p><span>In the current context of a globalized and globalized and highly digitized marketplace, the study of customer behavior has become fundamental to behavior has become fundamental to understanding the complex interactions between social, cultural and commercial between social, cultural and commercial factors that influence purchasing decisions. purchasing decisions. This research aims to analyze the the impact of social media and purchase determinations on customer behavior through a bibliometric behavior through a bibliometric study. A qualitative, descriptive, non-experimental descriptive approach with a non-experimental and longitudinal design, analyzing 1,213 documents 1,213 documents extracted from Scopus, using VOSviewer and Bibliometrix for scientific mapping and bibliometric scientific mapping and bibliometric analysis. The results reveal a rapidly growing field (13.33% per Year field (13.33% per year) with an average of 16.63 citations per document and a 28.77% co-citation rate and 28.77% of international co-authorships. Emerging trends were identified the influence of social networks on purchase intent, the impact of influencers and the importance of social commerce. Semantic análisis semantic analysis highlighted the centrality of terms such as "social media", "consumer behavior" and "purchase intention", "consumer behavior" and "purchase intention". It is concluded that the field is dynamic, interdisciplinary and globally diverse, with a growing integration of technology and consumer behavior. integration of technology and consumer behavior. The implications suggest the need for more sophisticated digital marketing strategies that consider the influence of that consider the influence of social networks, the credibility of influencers and the influencer credibility and trust, and the need for more sophisticated digital marketing strategies that consider the influence of social networks, influencer credibility and trust.</span></p>
Fig. 2 in Phylogenomic analysis and morphological data suggest left-right swimming behavior evolved prior to the origin of the pelagic Phylliroidae (Gastropoda: Nudibranchia)
Fig. 2 Subtree of Phylliroe and its closest relatives from Dendronotida s.s., Dendronotidae, Scyllaeidae, and Tethyidae. Images from life animals and histological slides. a Dendronotus venustus. b, c Dendronotus frondosus. d–f Crosslandia viridis. g–i Melibe leonina. j–l Phylliroe
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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.