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364 results for “activity behavior”
Data from: Predator activity and scent cues influence white-tailed deer behavior in a multi-predator landscape
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Data and code from: Wildlife temporal behaviors in response to human activity changes during and following COVID-19 park closures
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The predator activity landscape predicts the anti‐predator behavior and distribution of prey in a tundra community
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Mouse behavior and neural activities of dopamine and D1- and D2- neurons in the tail of the striatum under threat-reward conflict and dopamine action onto the striatal neurons
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Data from: Pollination on the dark side: acoustic monitoring reveals impacts of a total solar eclipse on flight behavior and activity schedule of foraging bees
The total solar eclipse of 21 August 2017 traversed ~5000 km from coast to coast of North America. In its 90-min span, sunlight dropped by three orders of magnitude and temperature by 10–15°C. To investigate impacts of these changes on bee (Hymenoptera: Apoidea) pollinators, we monitored their flights acoustically in natural habitats of Pacific Coast, Rocky Mountain, and Midwest regions. Temperature changes during the eclipse had little impact on bee activity. Most of the explained variation (R2) in buzzing rate was attributable to changes in light intensity. Bees ceased flying during complete darkness at totality, but flight activity was unaffected by dim light in partial phases before and after totality. Flights of bees during partial phases of the eclipse lasted longer than flights made under full sun, showing that behavioral plasticity matched bee flight properties to changes in light intensity during the eclipse. Efforts of citizen scientists, including hundreds of school children, contributed to the scope and educational impact of this study.
Medial prefrontal cortex and anteromedial thalamus interaction regulates motivation related behavior and dopaminergic neuron activity: fMRI: Rats
<p>Rat fMRI activation images supplementing for Fig. 3d and Suppl. Fig. 5.</p>
Medial prefrontal cortex and anteromedial thalamus interaction regulates motivation related behavior and dopaminergic neuron activity: fMRI: Human
<p>Human fMRI activation images supplementing for Fig. 8 and Suppl. Fig. 11.</p>
Active neural coordination of motor behaviors with internal states
<p>The brain must continuously coordinate skeletomuscular movements with internal physiological states like arousal, but how is this coordination achieved? One possibility is that brain simply reacts to changes in external and/or internal signals. Another possibility is that it is actively coordinating both external and internal activities. We used functional ultrasound imaging to capture a large medial section of the brain, including multiple cortical and subcortical areas, in marmoset monkeys while monitoring their spontaneous movements and cardiac activity. By analyzing the causal ordering of these different time-series, we found that information flowing from the brain to movements and heart rate fluctuations were significantly greater than in the opposite direction. The brain areas involved in this external versus internal coordination were spatially distinct but also extensively interconnected. Temporally, the brain alternated between network states for this regulation. These findings suggest that the brain's dynamics actively and efficiently coordinate motor behavior with internal physiology.</p>
The effects of exploratory behavior on physical activity in a common animal model of human disease, zebrafish (Danio rerio)
<p>Zebrafish (Danio rerio) are widely accepted as a multidisciplinary vertebrate model for neurobehavioral and clinical studies, and more recently have become established as a model for exercise physiology and behavior. Individual differences in activity level (e.g., exploration) have been characterized in zebrafish, however, how different levels of exploration correspond to differences in motivation to engage in swimming behavior has not yet been explored. We screened individual zebrafish in two tests of exploration: the open field and novel tank diving tests. The fish were then exposed to a tank in which they could choose to enter a compartment with a flow of water (as a means of testing voluntary motivation to exercise). After a 2-day habituation period, behavioral observations were conducted. We used correlative analyses to investigate the robustness of the different exploration tests. Due to the complexity of dependent behavioral variables, we used machine learning to determine the personality variables that were best at predicting swimming behavior. Our results show that contrary to our predictions, the correlation between novel tank diving test variables and open field test variables was relatively weak. Novel tank diving variables were more correlated with themselves than open field variables were to each other. Males exhibited stronger relationships between behavioral variables than did females. In terms of swimming behavior, fish that spent more time in the swimming zone spent more time actively swimming, however, swimming behavior was inconsistent across the time of the study. All relationships between swimming variables and exploration tests were relatively weak, though novel tank diving test variables had stronger correlations. Machine learning showed that three novel tank diving variables (entries top/bottom, movement rate, average top entry duration) and one open field variable (proportion of time spent frozen) were the best predictors of swimming behavior, demonstrating that the novel tank diving test is a powerful tool to investigate exploration. Increased knowledge about how individual differences in exploration may play a role in swimming behavior in zebrafish is fundamental to their utility as a model of exercise physiology and behavior.</p>
DiverReef: The global repository of divers' and snorkelers' behavior during tourism activities and their interactions with reef environments over 20 years
<p>The DiverReef database provides the first public dataset on the underwater behavior of recreational divers and snorkellers in shallow reef environments (< 25 m depth) globally and their interactions with the reef seascape and/or reef benthic sessile organisms. The dataset comprises 19 years of data (2004-2023) by observing the behavior of 2312 recreational divers and snorkelers in 9 countries at 19 diving destinations and 176 diving sites. The data were collected through on-site observation of divers' behavior during tourism activities and their physical interactions with the reef structure and/or benthic reef sessile organisms. Observers discretely followed divers and recorded their behavior and interactions with the reef over set time periods. Interactions were described as "contact" and "damage", the latter refers to when physical damage to a benthic organism or the reef structure was observed. Besides behavior, observers also recorded data on the type of diving activity (scuba or snorkeling), profiles of the divers (gender and experience), use of cameras by the divers, visibility, type of reef formation and marine protection status of the dive site. This is the external repository where the DiverReef database is archived. This database has an attribution-share alike (CC BY-SA 4.0 Deed) copyright restriction. When using this database, the original paper in the Ecology journal (include DOI when available) must be cited.</p>
Separation of memory span and learning rate: evidence from behavior and spontaneous brain activity in older adults
<p>The data file includes two small files. The first file is Behavioral data. The second file is fMRI data. </p>
Figure 1 in Notes on the ecology, activity patterns and behavior of the kinkajou (Potos flavus)
Figure 1: Localities where we studied kinkajous in Ecuador and Colombia. Tiputiní Biodiversity Station (TBS) in the Ecuadorian Amazon (red circle), San Juan del Carare in the Magdalena River valley in Colombia (blue circle) and Pijao in the Central Andean Mountains of Colombia (yellow circle).
Figure 3 in Notes on the ecology, activity patterns and behavior of the kinkajou (Potos flavus)
Figure 3: (A) Activity budget for the population of kinkajous from Pijao. (B) Activity budget for the population of kinkajous from San Juan.
Figure 2 in Notes on the ecology, activity patterns and behavior of the kinkajou (Potos flavus)
Figure 2: Activity patterns of kinkajous from 95 independent records of camera traps at Tiputini Biodiversity Station (TBS). The height of the bars represents the frequency of the registers throughout the day.
Zebrafish capable of generating future state prediction error show improved active avoidance behavior in virtual reality [Dataset]
<p>The calcium imaging data of the telencephalon of head-tethered adult zebrafish during GO/NOGO tasks in the virtual reality environment and the behavior data were deposited.</p> <p>The codes to process the neural activity data by calcium imaging to perform Non-negative Matrix Factorization </p> <p>For details, see "Zebrafish capable of generating future state prediction error show improved active avoidance behavior in virtual reality" Torigoe et al., Nature Communications in press.</p>
Supplementary material 6 from: Tanaka S (2023) Biology of Patanga japonica (Orthoptera, Acrididae): Nymphal growth, host plants, reproductive activity, hatching behavior, and adult morphology. Journal of Orthoptera Research 32(1): 93-108. https://doi.org/10.3897/jor.32.95753
Supplementary material 6 from: Tanaka S (2023) Biology of Patanga japonica (Orthoptera, Acrididae): Nymphal growth, host plants, reproductive activity, hatching behavior, and adult morphology. Journal of Orthoptera Research 32(1): 93-108. https://doi.org/10.3897/jor.32.95753
Supplementary material 5 from: Tanaka S (2023) Biology of Patanga japonica (Orthoptera, Acrididae): Nymphal growth, host plants, reproductive activity, hatching behavior, and adult morphology. Journal of Orthoptera Research 32(1): 93-108. https://doi.org/10.3897/jor.32.95753
Supplementary material 5 from: Tanaka S (2023) Biology of Patanga japonica (Orthoptera, Acrididae): Nymphal growth, host plants, reproductive activity, hatching behavior, and adult morphology. Journal of Orthoptera Research 32(1): 93-108. https://doi.org/10.3897/jor.32.95753
Supplementary material 3 from: Tanaka S (2023) Biology of Patanga japonica (Orthoptera, Acrididae): Nymphal growth, host plants, reproductive activity, hatching behavior, and adult morphology. Journal of Orthoptera Research 32(1): 93-108. https://doi.org/10.3897/jor.32.95753
Supplementary material 3 from: Tanaka S (2023) Biology of Patanga japonica (Orthoptera, Acrididae): Nymphal growth, host plants, reproductive activity, hatching behavior, and adult morphology. Journal of Orthoptera Research 32(1): 93-108. https://doi.org/10.3897/jor.32.95753
Supplementary material 2 from: Tanaka S (2023) Biology of Patanga japonica (Orthoptera, Acrididae): Nymphal growth, host plants, reproductive activity, hatching behavior, and adult morphology. Journal of Orthoptera Research 32(1): 93-108. https://doi.org/10.3897/jor.32.95753
Supplementary material 2 from: Tanaka S (2023) Biology of Patanga japonica (Orthoptera, Acrididae): Nymphal growth, host plants, reproductive activity, hatching behavior, and adult morphology. Journal of Orthoptera Research 32(1): 93-108. https://doi.org/10.3897/jor.32.95753
Supplementary material 7 from: Tanaka S (2023) Biology of Patanga japonica (Orthoptera, Acrididae): Nymphal growth, host plants, reproductive activity, hatching behavior, and adult morphology. Journal of Orthoptera Research 32(1): 93-108. https://doi.org/10.3897/jor.32.95753
Supplementary material 7 from: Tanaka S (2023) Biology of Patanga japonica (Orthoptera, Acrididae): Nymphal growth, host plants, reproductive activity, hatching behavior, and adult morphology. Journal of Orthoptera Research 32(1): 93-108. https://doi.org/10.3897/jor.32.95753
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.