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70 results for “Human Behaviour”
Hunting, but not outdoor recreation, modulates behavioural tolerance to human disturbance in Alpine marmots Marmota marmota
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Data from: Associations between human non-motorized recreational activity on nest box occupation, exploratory behaviour, and breeding success in a passerine bird
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Variation in behavioural traits of two frugivorous mammals may lead to differential responses to human disturbance
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Data from: Behavioural responses of a gamebird to human encounters across the hunting season
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Antelope space-use and behaviour indicate multi-level responses to varying anthropogenic influences in a highly human-dominated landscape
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Data for: What you have, not who you know: food-enhanced social capital and changes in social behavioural relationships in a non-human primate
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Data from: Active and reactive behaviour in human mobility: the influence of attraction points on pedestrians
Human mobility is becoming an accessible field of study thanks to the progress and availability of tracking technologies as a common feature of smart phones. We describe an example of a scalable experiment exploiting these circumstances at a public, outdoor fair in Barcelona (Spain). Participants were tracked while wandering through an open space with activity stands attracting their attention. We develop a general modeling framework based on Langevin Dynamics, which allows us to test the influence of two distinct types of ingredients on mobility: reactive or context-dependent factors, modelled by means of a force field generated by attraction points in a given spatial configuration, and active or inherent factors, modelled from intrinsic movement patterns of the subjects. The additive and constructive framework model accounts for some observed features. Starting with the simplest model (purely random walkers) as a reference, we progressively introduce different ingredients such as persistence, memory, and perceptual landscape, aiming to untangle active and reactive contributions and quantify their respective relevance. The proposed approach may help in anticipating the spatial distribution of citizens in alternative scenarios and in improving the design of public events based on a facts-based approach.
Urban herring gulls use human behavioural cues to locate food
While many animals are negatively affected by urbanisation, some species appear to thrive in urban environments. Herring gulls (<i>Larus argentatus</i>) are commonly found in urban areas and often scavenge food discarded by humans. Despite increasing interactions between humans and gulls, little is known about the cognitive underpinnings of urban gull behaviour and to what extent they use human behavioural cues when making foraging decisions. We investigated whether gulls are more attracted to anthropogenic items when they have been handled by a human. We first presented free-living gulls with two identical food objects, one of which was handled, and found that gulls preferentially pecked at the handled food object. We then tested whether gulls' attraction to human-handled objects generalises to non-food items by presenting a new sample of gulls with two non-food objects, where, again, only one was handled. While similar numbers of gulls approached food and non-food objects in both experiments, they did not peck at handled non-food objects above chance levels. These results suggest that urban gulls generally show low levels of neophobia, but that they use human handling as a cue specifically in the context of food. These behaviours may contribute to gulls' successful exploitation of urban environments.
Data from: Extreme behavioural shifts by baboons exploiting risky, resource-rich, human-modified environments
A range of species exploit anthropogenic food resources in behaviour known as 'raiding'. Such behavioural flexibility is considered a central component of a species' ability to cope with human-induced environmental changes. Here, we study the behavioural processes by which raiding male chacma baboons (Papio ursinus) exploit the opportunities and mitigate the risks presented by raiding in the suburbs of Cape Town, South Africa. Ecological sampling and interviews conducted with 'rangers' (employed to manage the baboons' space use) revealed that baboons are at risk of being herded out of urban spaces that contain high-energy anthropogenic food sources. Baboon-attached motion/GPS tracking collars showed that raiding male baboons spent almost all of their time at the urban edge, engaging in short, high-activity forays into the urban space. Moreover, activity levels were increased where the likelihood of deterrence by rangers was greater. Overall, these raiding baboons display a time-activity balance that is drastically altered in comparison to individuals living in more remote regions. We suggest our methods can be used to obtain precise estimates of management impact for this and other species in conflict with people.
eBird data for: Avian behaviour changes in response to human activity during the COVID-19 lockdown in the United Kingdom
<p>Human activities may impact animal habitat and resource use, potentially influencing contemporary evolution in animals. In the United Kingdom (UK), COVID-19 lockdown restrictions resulted in sudden, drastic alterations to human activity. We hypothesized that short-term daily and long-term seasonal changes in human mobility might result in changes in bird habitat use, depending on the mobility type (home, parks, grocery) and the extent of change. Using Google human mobility data and 872 850 bird observations, we determined that during lockdown, human mobility changes resulted in altered habitat use in 80% (20/25) of our focal bird species. When humans spent more time at home, over half of affected species had lower counts, perhaps resulting from the disturbance of birds in garden habitats. Bird counts of some species (e.g. rooks, gulls) increased over the short-term as humans spent more time parks, possibly due to human-sourced food resources (e.g. picnic refuse), while counts of other species (e.g. tits and sparrows) decreased. All affected species increased counts when humans spent less time at grocery services. Avian species rapidly adjusted to the novel environmental conditions and demonstrated behavioural plasticity, but with diverse responses, reflecting the different interactions and pressures caused by human activity.</p>
Humans flexibly use visual priors to optimize their haptic exploratory behaviour
<p>datasets of the first, second and third experiment</p> <p>for each subject, there is one .raw file and one folder containing the .trj movement data files of each trial.</p> <p>the .trj files contain the variables (columns left to right): time in ms, x, y, z, force, velocity, position (-1 not on stim, 0 left, 1 right), inStimPos (-1 not, 0 outerstim, 1 innerstim)</p> <p>the .raw files contain the variables (columns left to right): block nr, trial nr, randomization nr, stimulus orientation, visual quality, startstim (0 left 1 right), ref stim, comp stim (always < ref), chosenStim, force. in exp2&3, ref stim and comp stim have the numbers 1xx for the "hard" block and 2xx for the "easy" block.</p>
Humanoid facial expressions as a tool to study human behaviour
<p>Dataset and MATLAB codes relative to the kinematic study titled <em>Humanoid facial expressions as a tool to study human behaviour (Lombardi G., Sciutti A., Rea F., Vannucci F., Di Cesare G, Scientific Reports 2024, DOI: https://doi.org/10.1038/s41598-023-45825-6) </em></p> <p><strong>analysis.m</strong> is the main matlab code for data organization and peak values extraction</p> <p><strong>VelocityCurves.m</strong>, <strong>AccelerationCurves.m</strong> and <strong>HeightCurves.m</strong> are codes to extract and plot mean velocity, acceleration and trajectory curves respectively and visualize comparison between congruent and incongruent conditions.</p> <p><strong>order.mat</strong> contains the order of experimental conditions</p> <p><strong>subject_kinamatic_data</strong> contains the kinematic dataset. Each subject folder contains different runs saved in .csv and .excel format (these are loaded in code analysis.m) </p> <p><strong>For additional information contact Dr. Alessandra Sciutti, alessandra.sciutti@iit.it</strong></p> <p> </p>
Video demonstration of the Looking at human face (behaviour element ID code: IILH); and Greeting sound (behaviour element ID code: IVGR) behaviour elements in the Interactive group for Korcsok and Korondi (2023), Biologia Futura
<p>The video demonstrates the behaviour elements: Looking at human face (behaviour element ID code: <strong>IILH</strong>); and Greeting sound (behaviour element ID code: <strong>IVGR</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>
Investigating in Humans the Impact of Training Status on Dietary Consumption With Direct Measurement of Ingestive Behaviour
ClinicalTrials.gov study NCT07082582. IPD Sharing: NO. Countries: 1. Publications: 20.
Data from: Extreme behavioural shifts by baboons exploiting risky, resource-rich, human-modified environments
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eBird data for: Avian behaviour changes in response to human activity during the COVID-19 lockdown in the United Kingdom
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Data from: Active and reactive behaviour in human mobility: the influence of attraction points on pedestrians
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Urban herring gulls use human behavioural cues to locate food
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Human influences on antipredator behaviour in Darwin’s finches
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Data from: Sibship effects on dispersal behaviour in a preindustrial human population
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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.