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49 results for “Animal behavior”

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ClinicalTrials.gov32/100

Efficacy of Animated Videos to Foster Healthy Bladder Behaviors in Community Women

ClinicalTrials.gov study NCT06921915. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

The Effect of"Green Future With Midwife Hands"Climate Change Animation on Mothers' Climate Change Awareness and Behavior

ClinicalTrials.gov study NCT06640556. IPD Sharing: YES. Countries: 1. Publications: 0.

controlledIPD-YESFeb 2026View details →
dryad32/100

Selfee: Self-supervised features extraction of animal behaviors

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publicJun 2022View details →
dryad32/100

The effects of exploratory behavior on physical activity in a common animal model of human disease, zebrafish (Danio rerio)

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publicOct 2022View details →
dryad32/100

Caution is warranted when using animal space-use and movement to infer behavioral states

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publicMar 2022View details →
dryad28/100

Data from: Quantifying behavioral changes in territorial animals caused by sudden population declines

Although territorial animals are able to maintain exclusive use of certain regions of space, movement data from neighboring individuals often suggest overlapping home ranges. To explain and unify these two aspects of animal space use, we use recently developed mechanistic models of collective animal movement. We apply our approach to a natural experiment on an urban red fox (Vulpes vulpes) population that underwent a rapid decline in population density due to a sarcoptic mange epizooty. By extracting details of movement and interaction strategies from location data, we show how foxes alter their behavior, taking advantage of sudden population-level changes by acquiring areas vacated due to neighbor mortality, while ensuring territory boundaries remain contiguous. The rate of territory border movement increased eightfold as the population declined and the foxes' response time to neighboring scent reduced by a third. By demonstrating how observed, fluctuating territorial patterns emerge from movements and interactions of individual animals, our results give the first data-validated, mechanistic explanation of the elastic disc hypothesis, proposed nearly 80 years ago.

opencc-zeroDec 2012View details →
dryad28/100

Data from: Territoriality modifies the effects of habitat complexity on animal behavior: a meta-analysis

<p>Augmenting habitat complexity by adding structure has been used to increase the population density of some territorial species in the wild and to reduce aggression among captive animals.  However, it is unknown if all territorial species are affected similarly by habitat complexity, and whether these effects extend to non-territorial species.  We conducted a meta-analysis to compare the behavior of a wide range of territorial and non-territorial taxa in complex and open habitats to determine the effects of habitat complexity on<b> </b>1) territory size, 2) population density, 3) rate and time spent on aggression, 4) rate and time devoted to foraging, 5) rate and time spent being active, 6) shyness/boldness, 7) survival rate, and 8) exploratory behavior.  Overall, all measures were significantly affected by habitat complexity, but the responses of territorial and non-territorial species differed.  As predicted, territorial species were less aggressive, had smaller territories and higher densities in complex habitats, whereas non-territorial species were more aggressive and did not differ in population density.  Territorial species were bolder but not more active in complex habitats, whereas non-territorial species were more active but not bolder. While the survival of non-territorial species increased in complex habitats, no such increase was observed for territorial species.  The increased safety from predators provided by complex habitats may have been balanced by the higher population densities and bolder behavior in territorial species.  Our analysis suggests that territorial and non-territorial animals respond differently to habitat complexity, perhaps due to the strong reliance on visual cues by territorial animals.</p>

opencc-zeroJan 2022View details →
dryad28/100

Animal-borne video systems provide insight into the reproductive behavior of the Asian black bear

<p>Previous studies on the mating system of the Asian black bear (<i>Ursus thibetanus</i>) have been limited to observations of captive populations and estimations of multiple paternities. Hence, the mating system of wild bears remains poorly understood. Animal-borne camera systems (i.e., cameras mounted on animals) provide novel tools to study the behavior of elusive animals. Here, we used an animal-borne video system to record the activities of wild bears during the mating season. Video camera collars were attached to four adult Asian black bears (Male 'A' and 'B', and female 'A' and 'B') captured in Tokyo, central Japan, in May and June 2018. The collars were retrieved in July 2018, after which the video data were downloaded and analyzed in terms of bear activity and mating behavior. All the bears were found to interact with other uniquely identifiable bears for some of the time (range 9–22 days) during the deployment period (range 36–45 days), and multiple mating in males were documented. Both males and females exhibited different behaviors on social days (i.e., days when the bear interacted with conspecifics) compared to solitary days (i.e., days with no observed interactions with conspecifics). Compared to solitary days, the bears spent a lower proportion of time on foraging activities, and higher proportion of time on resting activities on social days. Our results suggest that Asian black bears have a polygamous mating system, as both sexes consort and potentially mate with multiple partners during a given mating season. Furthermore, bears appeared to reduce their foraging activities on social days, and engaged more in social interactions.</p>

opencc-zeroJun 2022View details →
dryad28/100

Data from: A simple behavioral model predicts the emergence of complex animal hierarchies

Social dominance hierarchies are widespread, but little is known about the mechanisms that produce non-linear structures. In addition to despotic hierarchies, where a single individual dominates, shared hierarchies exist where multiple individuals occupy a single rank. In vertebrates, these complex dominance relationships are thought to develop from interactions that require higher cognition, but similar cases of shared dominance have been found in social insects. Combining empirical observations with a modeling approach, we show that all three hierarchy structures-linear, despotic, and shared-can emerge from different combinations of simple interactions present in social insects. Our model shows that a linear hierarchy emerges when a typical winner-loser interaction (dominance biting) is present. A despotic hierarchy emerges when a policing interaction is added that results in the complete loss of dominance status for an attacked individual (physical policing). Finally, a shared hierarchy emerges with the addition of a "winner-winner" interaction that results in a positive outcome for both interactors (antennal dueling). Antennal dueling is an enigmatic ant behavior that has previously lacked a functional explanation. These results show how complex social traits can emerge from simple behaviors without requiring advanced cognition.

opencc-zeroDec 2015View details →
dryad28/100

Data from: Segmentation of laterally symmetric overlapping objects: application to images of collective animal behavior

Video analysis is currently the main non-intrusive method for the study of collective behavior. However, 3D-to-2D projection leads to overlapping of observed objects. The situation is further complicated by the absence of stall shapes for the majority of living objects. Fortunately, living objects often possess a certain symmetry which was used as a basis for morphological fingerprinting. This technique allowed us to record forms of symmetrical objects in a pose-invariant way. When combined with image skeletonization, this gives a robust, nonlinear, optimization-free, and fast method for detection of overlapping objects, even without any rigid pattern. This novel method was verified on fish (European bass, Dicentrarchus labrax, and tiger barbs, Puntius tetrazona) swimming in a reasonably small tank, which forced them to exhibit a large variety of shapes. Compared with manual detection, the correct number of objects was determined for up to almost 90% of overlaps, and the mean Dice-Sørensen coefficient was around 0.83. This implies that this method is feasible in real-life applications such as toxicity testing.

opencc-zeroAug 2019View details →
dryad28/100

Data from: Segmentation of laterally symmetric overlapping objects: application to images of collective animal behavior

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publicAug 2019View details →
dryad28/100

Data from: Quantifying behavioral changes in territorial animals caused by sudden population declines

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publicMar 2013View details →
dryad28/100

Data from: Territoriality modifies the effects of habitat complexity on animal behavior: a meta-analysis

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publicJan 2022View details →
dryad28/100

Flexible analysis of animal behavior via time-resolved embedding

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publicApr 2021View details →
dryad28/100

Data from: Potential leaders trade off goal-oriented and socially-oriented behavior in mobile animal groups

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publicMar 2015View details →
dryad28/100

Data from: A simple behavioral model predicts the emergence of complex animal hierarchies

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publicFeb 2016View details →
dryad28/100

Animal-borne video systems provide insight into the reproductive behavior of the Asian black bear

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publicJun 2022View details →
geo24/100

SCD inhibition reverses immune, synaptic and behavioral deficits in an animal model of Alzheimer’s disease [bulk RNA-Seq]

GEO Series GSE167601. Mus musculus. 23 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenFeb 2022View details →
geo24/100

SCD inhibition reverses immune, synaptic and behavioral deficits in an animal model of Alzheimer’s disease [scRNA-Seq]

GEO Series GSE167600. Mus musculus. 1 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenFeb 2022View details →
geo24/100

SCD inhibition reverses immune, synaptic and behavioral deficits in an animal model of Alzheimer’s disease

GEO Series GSE167605. Mus musculus. 40 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenFeb 2022View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record