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78 results for “group interaction”
Video demonstration of the Gaze alternation behaviour element in the Interactive group (behaviour element ID code: IIGA) for Korcsok and Korondi (2023), Biologia Futura
<p>The video demonstrates the behaviour element: Gaze alternation in the interactive experimental group, as exhibited by a social robot (behaviour element ID code: <strong>IIGA</strong>). The video is part of an ethogram cataloguing the behaviour elements of the robot, described in the publication: <em><strong>How do you do the things that you do? - Ethological approach to the description of robot behaviour</strong></em> submitted to Biologia Futura (2023) by Korcsok, B. and Korondi, P.</p>
Video demonstration of the Greeting behaviour element in the Minimally interactive group (behaviour element ID code: MIGR) for Korcsok and Korondi (2023), Biologia Futura
<p>The video demonstrates the behaviour element: Greeting in the minimally interactive experimental group, as exhibited by a social robot (behaviour element ID code: <strong>MIGR</strong>). The video is part of an ethogram cataloguing the behaviour elements of the robot, described in the publication: <em><strong>How do you do the things that you do? - Ethological approach to the description of robot behaviour</strong></em> submitted to Biologia Futura (2023) by Korcsok, B. and Korondi, P.</p>
Video demonstration of the Looking down at tray (behaviour element ID code: IODT); and Higher intensity attention getting (behaviour element ID code: IVHA) behaviour elements in the Interactive group for Korcsok and Korondi (2023), Biologia Futura
<p>The video demonstrates the behaviour elements: Looking down at tray (behaviour element ID code: <strong>IODT</strong>); and Higher intensity attention getting (behaviour element ID code: <strong>IVHA</strong>) in the interactive experimental group, as exhibited by a social robot. The video is part of an ethogram cataloguing the behaviour elements of the robot, described in the publication: <em><strong>How do you do the things that you do? - Ethological approach to the description of robot behaviour</strong></em> submitted to Biologia Futura (2023) by Korcsok, B. and Korondi, P.</p>
Video demonstration of the Standing to table (behaviour element ID code: ILST); and Lower intensity attention getting (behaviour element ID code: IVLA) behaviour elements in the Interactive group for Korcsok and Korondi (2023), Biologia Futura
<p>The video demonstrates the behaviour elements: Standing to table (behaviour element ID code: <strong>ILST</strong>); and Lower intensity attention getting (behaviour element ID code: <strong>IVLA</strong>) in the interactive experimental group, as exhibited by a social robot. The video is part of an ethogram cataloguing the behaviour elements of the robot, described in the publication: <em><strong>How do you do the things that you do? - Ethological approach to the description of robot behaviour</strong></em> submitted to Biologia Futura (2023) by Korcsok, B. and Korondi, P.</p>
Video demonstration of the Greeting behaviour element in the Interactive group (behaviour element ID code: IIGR) for Korcsok and Korondi (2023), Biologia Futura
<p>The video demonstrates the behaviour element: Greeting in the interactive experimental group, as exhibited by a social robot (behaviour element ID code: <strong>IIGR</strong>). The video is part of an ethogram cataloguing the behaviour elements of the robot, described in the publication: <em><strong>How do you do the things that you do? - Ethological approach to the description of robot behaviour</strong></em> submitted to Biologia Futura (2023) by Korcsok, B. and Korondi, P.</p>
Video demonstration of the Moving to checkpoint (behaviour element ID code: ILMC); and Head orientation during locomotion (behaviour element ID code: IHOL) behaviour elements in the Interactive group for Korcsok and Korondi (2023), Biologia Futura
<p>The video demonstrates the behaviour elements: Moving to checkpoint (behaviour element ID code: <strong>ILMC</strong>); and Head orientation during locomotion (behaviour element ID code: <strong>IHOL</strong>) in the interactive experimental group, as exhibited by a social robot. The video is part of an ethogram cataloguing the behaviour elements of the robot, described in the publication: <em><strong>How do you do the things that you do? - Ethological approach to the description of robot behaviour</strong></em> submitted to Biologia Futura (2023) by Korcsok, B. and Korondi, P.</p>
Video demonstration of the Standing to table behaviour element in the Minimally interactive group (behaviour element ID code: MLST) for Korcsok and Korondi (2023), Biologia Futura
<p>The video demonstrates the behaviour element: Standing to table in the minimally interactive experimental group, as exhibited by a social robot (behaviour element ID code: <strong>MLST</strong>). The video is part of an ethogram cataloguing the behaviour elements of the robot, described in the publication: <em><strong>How do you do the things that you do? - Ethological approach to the description of robot behaviour</strong></em> submitted to Biologia Futura (2023) by Korcsok, B. and Korondi, P.</p>
Video demonstration of the Leaving table behaviour element in the Minimally interactive group (behaviour element ID code: MLLT) for Korcsok and Korondi (2023), Biologia Futura
<p>The video demonstrates the behaviour element: Leaving table in the minimally interactive experimental group, as exhibited by a social robot (behaviour element ID code: <strong>MLLT</strong>). The video is part of an ethogram cataloguing the behaviour elements of the robot, described in the publication: <em><strong>How do you do the things that you do? - Ethological approach to the description of robot behaviour</strong></em> submitted to Biologia Futura (2023) by Korcsok, B. and Korondi, P.</p>
Interactive Technology for Media Literacy Drug Prevention in Community Groups
ClinicalTrials.gov study NCT03157700. IPD Sharing: YES. Countries: 1. Publications: 2.
Data from: Individual differences in boldness influence patterns of social interactions and the transmission of cuticular bacteria among group-mates
Open the record for dataset details and reuse information.
Sighting data and tactile events logged from mixed-group underwater interactions
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Data from: Functional groups, species, and light interact with nutrient limitation during tropical rainforest sapling bottleneck
Open the record for dataset details and reuse information.
Data from: Interacting maternal and spatial cues influence natal dispersal out of social groups
Proximate cues for animal dispersal are complex and varied. Multiple cues may provide information about different aspects of habitat quality, and these aspects may interact with each other, as well as with population density in different ways. We examined how individuals incorporate multiple cues in their decisions to emigrate and immigrate in the colonial orb-weaving spider, Cyrtophora citricola. We manipulated maternal feeding as a cue for prey abundance and measured the size of the maternal web, which provides a limited space for philopatric offspring and a second potential dispersal cue. In addition, we recorded all immigration events to determine dispersal distances and the cues juveniles may use in settlement. Dispersal increased when mothers were poorly fed, web sizes were small, and clutch sizes were large. In addition to these overall effects, maternal feeding also interacted with web size, indicating that offspring from well-fed mothers were more tolerant of high sibling densities. We also detected a threshold for the effect of clutch size on dispersal for the first egg sac: below 20 offspring, there was no effect of clutch size, but dispersal increased with clutch size for larger clutches. Dispersal distances were often short, and immigrants preferred sheltered trees and those occupied by adult females. Dispersal not only depended on multiple cues, but these cues interacted, and the importance of web size suggested that saturation of the natal web might force dispersal, at least for spiders with poorly-fed mothers. How one aspect of habitat quality influences dispersal can therefore depend on the state of other aspects of habitat quality. In particular, some natal resources, such as a nest or territory, may become saturated and limit group size, but this limit will also depend on other factors, such as prey availability.
Data from: Experimental evidence that intruder and group member attributes affect outgroup defence and associated within-group interactions in a social fish
In many social species, individuals communally defend resources from conspecific outsiders. Participation in defence and in associated within-group interactions, both during and after contests with outgroup rivals, is expected to vary between group members because the threat presented by different outsiders is not the same to each individual. However, experimental tests examining both the contributions to, and the consequences of, outgroup conflict for all group members are lacking. Using groups of the cichlid Neolamprologus pulcher, we simulated territorial intrusions by different-sized female rivals and altered the potential contribution of subordinate females to defence. Dominant and subordinate females defended significantly more against size- and rank-matched intruders, while males displayed lower and less variable levels of defence. Large and small, but not intermediate-sized, intruders induced increased levels of within-group aggression during intrusions, which was targeted at the subordinate females. Preventing subordinate females from helping in territorial defence led to significant decreases in post-contest within-group and female-specific submissive and affiliative displays. Together, these results show that the defensive contributions of group members vary greatly depending both on their own traits and on intruder identity, and this variation has significant consequences for within-group social dynamics both during and in the aftermath of outgroup contests.
Data from: Direction matching for sparse movement data sets: determining interaction rules in social groups
It is generally assumed that high-resolution movement data are needed to extract meaningful decision-making patterns of animals on the move. Here we propose a modified version of force matching (referred to here as direction matching), whereby sparse movement data (i.e., collected over minutes instead of seconds) can be used to test hypothesized forces acting on a focal animal based on their ability to explain observed movement. We first test the direction matching approach using simulated data from an agent-based model, and then go on to apply it to a sparse movement data set collected on a troop of baboons in the DeHoop Nature Reserve, South Africa. We use the baboon data set to test the hypothesis that an individual's motion is influenced by the group as a whole or, alternatively, whether it is influenced by the location of specific individuals within the group. Our data provide support for both hypotheses, with stronger support for the latter. The focal animal showed consistent patterns of movement toward particular individuals when distance from these individuals increased beyond 5.6 m. Although the focal animal was also sensitive to the group movement on those occasions when the group as a whole was highly clustered, these conditions of isolation occurred infrequently. We suggest that specific social interactions may thus drive overall group cohesion. The results of the direction matching approach suggest that relatively sparse data, with low technical and economic costs, can be used to test between hypotheses on the factors driving movement decisions.
Data from: Local interactions and their group-level consequences in flocking jackdaws
As one of nature's most striking examples of collective behaviour, bird flocks have attracted extensive research. However, we still lack an understanding of the attractive and repulsive forces that govern interactions between individuals within flocks and how these forces influence neighbours' relative positions and ultimately determine the shape of flocks. We address these issues by analysing the three-dimensional movements of wild jackdaws (Corvus monedula) in flocks containing 2 to 338 individuals. We quantify the social interaction forces in large, airborne flocks and find that these forces are highly anisotropic. The long-range attraction in the direction perpendicular to the movement direction is stronger than that along it, and the short-range repulsion is generated mainly by turning rather than changing speed. We explain this phenomenon by considering the wingbeat frequency and the change in the kinetic and gravitational potential energy during flight, and find that changing the direction of movement is less energetically costly than adjusting speed for birds. Furthermore, our data show that collision avoidance by turning can alter local neighbour distributions and ultimately change the group shape. Our results illustrate the macroscopic consequences of anisotropic interaction forces in bird flocks, and help to draw links between group structure, local interactions, and the biophysics of animal locomotion.
Data from: Differential female sociality is linked with the fine-scale structure of sexual interactions in replicate groups of red junglefowl, Gallus gallus
Recent work indicates that social structure has extensive implications for patterns of sexual selection and sexual conflict. However, little is known about the individual variation in social behaviours linking social structure to sexual interactions. Here, we use network analysis of replicate polygynandrous groups of red junglefowl (Gallus gallus) to show that the association between social structure and sexual interactions is underpinned by differential female sociality. Sexual dynamics are largely explained by a core group of highly social, younger females, which are more fecund and more polyandrous, and thus associated with more intense postcopulatory competition for males. In contrast, less fecund females from older cohorts, which tend to be socially dominant, avoid male sexual attention by clustering together and perching on branches, and preferentially reproduce with dominant males by more exclusively associating and mating with them. Collectively, these results indicate that individual females occupy subtly different social niches, and demonstrate that female sociality can be an important factor underpinning the landscape of intra-sexual competition and the emergent structure of animal societies.
Data from: Interaction rules underlying group decisions in homing pigeons
Travelling in groups gives animals opportunities to share route information by following cues from each other's movement. The outcome of group navigation will depend on how individuals respond to each other within a flock, school, swarm, or herd. Despite the abundance of modelling studies, only recently have researchers developed techniques to determine the interaction rules among real animals. Here we use high-resolution GPS (global positioning system) tracking to study these interactions in pairs of pigeons flying home from a familiar site. Momentary changes in velocity indicate alignment with the neighbour's direction, as well as attraction or avoidance depending on distance. Responses were stronger when the neighbour was in front. From the flocking behaviour, we develop a model to predict features of group navigation. Specifically, we show that the interactions between pigeons stabilise a side-by-side configuration, promoting bidirectional information transfer and reducing the risk of separation. However, if one bird gets in front it will lead directional choices. Our model further predicts, and observations confirm, that a faster bird (as measured from solo flights) will fly slightly in front and thus dominate the choice of homing route. Our results explain how group decisions emerge from individual differences in homing flight behaviour.
Global synthesis of effects of plant species diversity on trophic groups and interactions
<p>Numerous studies have demonstrated that plant species diversity enhances ecosystem functioning in terrestrial ecosystems, including diversity effects on insects (herbivores, predators and parasitoids) and plants. However, the effects of increased plant diversity across trophic levels in different ecosystems and biomes have not yet been explored on a global scale. Through a global meta-analysis of 2,914 observations from 351 studies, we found that increased plant species richness reduced herbivore abundance and damage but increased predator and parasitoid abundance, predation, parasitism and overall plant performance. Moreover, increased predator/parasitoid performance was correlated with reduced herbivore abundance and enhanced plant performance. We conclude that increasing plant species diversity promotes beneficial trophic interactions between insects and plants, ultimately contributing to increased ecosystem services.</p>
FIGURE 3 in A new group of species of the genus Megalothorax (Collembola, Neelidae) with Gondwanan distribution, and introducing an open interactive identification key of Megalothorax species
FIGURE 3. Megalothorax anterolenis sp. nov. (A) Leg I, (B) Leg II, (C) Leg III.
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.