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4,028 results for “Behaviour”
Foraging behaviour data for sympatric Ateles geoffroyi, Alouatta palliata, and Cebus imitator
<p><span>Senses form the interface between animals and environments, and their form and function provide a window into the ecology of past and present species. However, research on the senses used during foraging (e.g. smell, vision, touch, taste) by wild terrestrial frugivores is sparse. Here, we combine 26,094 fruit foraging sequences recorded from three wild, sympatric primates (<em>Cebus imitator, Ateles geoffroyi, Alouatta palliata</em>) with data on within- and between-species variation in colour vision, olfaction, taste, and hand anatomy. We hypothesize that dietary and sensory specialization shape foraging behaviours. We find that frugivorous spider monkeys (<em>Ateles geoffroyi</em>) sniff fruits most often, that omnivorous capuchins (<em>Cebus imitator</em>), the species with the highest measure of manual dexterity, uses manual touch most often, and that main olfactory bulb volume is a better predictor of sniffing behaviour than nasal turbinate surface area. We also identify an interaction between colour vision phenotype and use of other senses. Controlling for species, dichromats sniff and bite fruits more often than trichromats, and trichromats use manual touch to evaluate cryptic fruits more often than dichromats. Our findings help reveal how dietary specialization and sensory variation shape foraging behaviours, and inform methods for investigating relationships between behaviour and anatomy.</span></p>
Effects of pair migratory behaviour on breeding phenology and success in a partially migratory shorebird population
<p>In migratory systems, variation in individual phenology can arise through differences in individual migratory behaviours, and this may be particularly apparent in partial migrant systems, where migrant and resident individuals are present within the same population. Links between breeding phenology and migratory behaviour or success are generally investigated at the individual level. However, for breeding phenology in particular, the migratory behaviours of each member of the pair may need to be considered simultaneously, as breeding phenology will likely be constrained by timing of the pair member that arrives last, and carry-over effects on breeding success may vary depending on whether pair members share the same migratory behaviour or not. We used tracking of marked individuals and monitoring of breeding success from a partially migrant population of Eurasian oystercatchers (Haematopus ostralegus) breeding in Iceland to test whether (a) breeding phenology varied with pair migratory behaviour; (b) within-pair consistency in timing of laying differed among pair migratory behaviours; and (c) reproductive performance varied with pair migratory behaviour, timing of laying and year. We found that annual variation in timing of laying differed among pair migratory behaviours, with resident pairs being more consistent than migrant and mixed pairs, and migrant/mixed pairs breeding earlier than residents in most years but later in one (unusually cold) year. Pairs that laid early were more likely to replace their clutch after nest loss, had higher productivity and higher fledging success, independent of pair migratory behaviour. Our study suggests that the links between individual migratory behaviour and reproductive success can vary over time and, to a much lesser extent, with mate migratory behaviour and can be mediated by differences in laying dates. Understanding these cascading effects of pair phenology on breeding success is likely to be key to predicting the impact of changing environmental conditions on migratory species.</p>
Honeybee optomotor behaviour is impaired by chronic exposure to insecticides
<p>Honeybees use wide&[ndash]field visual motion information to calculate the distance they have flown from the hive, and this information is communicated to conspecifics during the waggle dance. Seed treatment insecticides, including neonicotinoids and novel insecticides like sulfoxaflor, display detrimental effects on wild and managed bees, even when present at sublethal quantities. These effects include deficits in flight navigation and homing ability, resulting in decreased survival of exposed worker bees. Neonicotinoid insecticides disrupt visual motion detection in the locust, resulting in impaired escape behaviours, but it had not previously been shown whether seed treatment insecticides disrupt wide&[ndash]field motion detection in the honeybee. Here, we show that sublethal exposure to two commonly used insecticides, imidacloprid (a neonicotinoid) and sulfoxaflor, results in impaired optomotor behaviour in the honeybee. This behavioural effect correlates with altered stress and detoxification gene expression in the brain. Exposure to sulfoxaflor led to sparse increases in neuronal apoptosis, localized primarily in the optic lobes, however there was no effect of imidacloprid. We propose that exposure to cholinergic insecticides disrupts the honeybee&[nprime]s ability to accurately encode wide&[ndash]field visual motion, resulting in impaired optomotor behaviours. These findings provide a novel explanation for previously described effects of neonicotinoid insecticides on navigation and link these effects to sulfoxaflor for which there is a gap in scientific knowledge. --</p>
dairy_spatial_uwb_lying_behaviour
<p>Data that belongs to the manuscript "Detecting dairy cows' lying behavior using noisy 3D ultra-wide band positioning data" by Adriaens, Ouweltjes, Pastell, Ellen, Kamphuis.</p>
Data and models for "Modelling human behaviour in cognitive tasks with latent dynamical systems"
<p>Ebb and Flow gameplay data and trained model parameters for:</p> <p>Jaffe, P.I., Poldrack, R.A., Schafer, R.J. & Bissett, P.G.<em> </em>Modelling human behaviour in cognitive tasks with latent dynamical systems. <em>Nat Hum Behav</em> (2023). https://doi.org/10.1038/s41562-022-01510-8 </p> <p>Ebb and Flow is a task-switching game offered as a part of the Lumosity cognitive training platform (Lumos Labs, Inc.). The data and model parameters are organized by participant/model in individual archived directories (140 participants; 245 models). Within each model directory, “data_pre_split.pickle” contains the raw Ebb and Flow data. The processed model inputs for the training, validation, and holdout/test splits are contained in the files "train_model_inputs.pt", "val_model_inputs.pt", and "test_model_inputs.pt", respectively. Other metadata associated with each split is contained in "train_other_data.pkl", "val_other_data.pkl", and "test_other_data.pkl". The parameters from the trained model are stored in “model_params.pth”. Some intermediate analysis products are contained in the subfolder “model_analysis”.</p> <p>Metadata for all models can be found in “model_metadata.csv”. The metadata field “switch_cost_type” identifies models that were trained on data with (sc+) or without (sc-) a switch cost (note that models marked “NA”, except for the optimal models, were also trained on data with a switch cost but were not included in the paired comparison of the sc+ and sc- models; see manuscript for details). The "exgauss" field identifies models that were trained with an exGaussian response template (coded as "exgauss+"); models identified as "exgauss-" were trained with a Gaussian kernel and were used in paired comparisons with the exgauss+ models. The "early" field identifies models that were trained with early-stage practice data if set to TRUE. The "optimal" field identifies models that were trained to perform the task optimally if set to TRUE. The other metadata fields are self-explanatory.</p> <h2><strong>Fast command line download instructions (macOS/linux) </strong></h2> <p>For help downloading on Windows, see <a href="https://github.com/dvolgyes/zenodo_get">https://github.com/dvolgyes/zenodo_get</a>.<strong><br></strong></p> <p>1) Copy and save the complete list of files below to a text file, e.g. "files.txt". Save it to the same directory you would like to save the data to. </p> <p>2) Install parallel if it's not already installed:</p> <pre><code>sudo apt-get install parallel</code></pre> <p>3) Run the following from the directory with files.txt (all data will be saved here). The flag -jN will create N parallel wget instances to download the files, e.g.:</p> <pre><code>cat files_test.txt | parallel -j8 wget {}</code></pre> <p>4) Unzip the files and cleanup:</p> <pre><code>unzip "*.zip" rm *.zip files.txt</code></pre> <h2><strong>List of files</strong></h2> 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<p> </p>
Supplementary material 1 from: Pontoppidan M, Nachman G (2013) Changes in behavioural responses to infrastructure affect local and regional connectivity – a simulation study on pond breeding amphibians. Nature Conservation 5: 13-28. https://doi.org/10.3897/natureconservation.5.4611
Full model description following the ODD-template suggested by Grimm et al. (2006, 2010) and model parameterisation. (doi: 10.3897/natureconservation.5.4611.app). File format: Adobe PDF document (pdf).:
Data and R script for 'Early-life begging effort reduces adult body mass but strengthens behavioural defence of the rate of energy intake in European starlings (Sturnus vulgaris)'
<p>Data files and R script for Dunn et al. "Early-life begging effort reduces adult body mass but strengthens behavioural defence of the rate of energy intake in European starlings (<em>Sturnus vulgaris</em>)"</p> <p>Includes a single R script that produces all the analyses in the paper. The script makes use of three different .csv data files.</p>
Raw images and processed datasets related to the journal article Robust Assessment of Post-Localisation Hardening Behaviour in Eurofer97 using Inverse Finite Element Methods
Open the record for dataset details and reuse information.
EmoPairCompete - Physiological Signals Dataset for Emotion and Frustration Assessment under Team and Competitive Behaviours
<p>Please refer to the documentation at: https://github.com/DTUComputeStatisticsAndDataAnalysis/EmoPairCompete</p>
Data and code for: a behavioural and microbiological study of wound care in Camponotus floridanus
<p><span>Open wounds pose a major infection and mortality risk in animals. To reduce these risks, many animal species apply antimicrobial compounds on their wounds.<sup> </sup>Ant societies use antimicrobial secretions from the metapleural gland to combat pathogens<sup> </sup>but this gland has been lost over evolutionary time in several genera including <em>Camponotus</em>. Using behavioral and microbiological experiments, we studied how <em>Camponotus floridanus</em> handles infected wounds without the use of antimicrobial secretions. When we experimentally injured a worker's leg at the femur, nestmates amputated the injured limb by biting the base (trochanter) of the leg until it was severed, thereby significantly increasing survival compared to ants that did not receive amputations. However, when the experimental injury was more distal (at the tibia), nestmates did not amputate the leg and instead directed more wound care to the injury site. Experimental amputations also failed to improve survival in ants with infected tibia injuries unless the leg was amputated immediately after pathogen exposure. Micro CT-scans revealed that the muscles likely responsible for leg hemolymph circulation are predominantly in the femur. Thus, it is likely that femur injuries, by attenuating hemolymph flow, provide sufficient time for workers to perform amputations before pathogen spread. Overall, this study provides the first example of the use of amputations to treat infected individuals in a non-human animal and demonstrates that ants can adapt their type of treatment depending on the location of wounds.</span></p>
Data for "High-temperature low-cycle fatigue and fatigue-creep behaviour of Inconel 718 superalloy: Damage and deformation mechanisms"
<p>Title of dataset: Data for "High-temperature low-cycle fatigue and fatigue-creep behaviour of Inconel 718 superalloy: Damage and deformation mechanisms"<br>Name/institution/contact information: Dr. Michal Bartošák, Czech Technical University in Prague - Faculty of Mechanical Engineering, email: michal.bartosak@fs.cvut.cz<br>Date of data collection: The data were collected from the start of 2021 to the end of 2023.<br>File name structure: The data within the folder "SEM" are images of microstructural observations of selected specimens. The data within the folder "FATIGUE_LIFE" include the fatigue lifetimes, as well as the stress and strain amplitudes at mid-life, of all investigated specimens.</p> <p>See https://doi.org/10.1016/j.ijfatigue.2024.108369 for the associated article and a detailed description of the methods.</p>
Figure 9 in Notes on nesting, territoriality and behaviour of broadbills (Eurylaimidae, Calyptomenidae) and pitas (Pitidae) in Tawau Hills Park, Sabah, Malaysian Borneo
Figure 9. Map of the topography of our study area showing home ranges of five pairs of colour-banded Black-crowned Pittas Erythropitta ussheri observed in 2013. Coloured shapes represent the 95th percentile of a kernel density of sightings of each pair. Colours represent different pairs' territories. The location of a nest is marked by a yellow point. The map demonstrates the approximate number and size of Black-crowned Pitta home ranges, including apparent overlap between two pairs' home ranges. Kernel densities were calculated in R using the function kde2d with default bandwidth. We had only four sightings at one territory (maroon points near the upper left corner) and display points rather than kernel density. Grey lines represent trails, the brown line a pipeline, and the blue line the Tawau River. 3D map courtesy of JAXA (2015).
Figure 5 in Notes on nesting, territoriality and behaviour of broadbills (Eurylaimidae, Calyptomenidae) and pitas (Pitidae) in Tawau Hills Park, Sabah, Malaysian Borneo
Figure 5. Banded Broadbill Eurylaimus javanicus nest during late construction, with an adult exiting at the lower left (© Kayleigh Chalkowski). Inset: close-up of the nest chamber after the nest was abandoned and collected, showing lining material (Eric R. Gulson-Castillo).
Figure 3 in Notes on nesting, territoriality and behaviour of broadbills (Eurylaimidae, Calyptomenidae) and pitas (Pitidae) in Tawau Hills Park, Sabah, Malaysian Borneo
Figure 3. Black-and-yellow Broadbill Eurylaimus ochromalus nest, 2013 (Eric R. Gulson-Castillo). Inset: Black-and-yellow Broadbill holding a green object just before bringing it to its nest, from video ML 471552 (© Brian Magnier)
Figure 1 in Notes on nesting, territoriality and behaviour of broadbills (Eurylaimidae, Calyptomenidae) and pitas (Pitidae) in Tawau Hills Park, Sabah, Malaysian Borneo
Figure 1. Map of the topography of our study area showing sightings of Black-and-yellow Eurylaimus ochromalus (blue) and Banded Broadbills E. javanicus (maroon) from both visits. Each point represents a sighting. Variation in point size and shape is an artefact of 3D plotting. This map demonstrates that Banded Broadbills occurred at a much-reduced density in the study area compared to Black-and-yellow Broadbills. Grey lines represent trails, the brown line represents a water pipeline, and the blue line represents the Tawau River. 3D map courtesy of JAXA (2015).
Figure 8 in Notes on nesting, territoriality and behaviour of broadbills (Eurylaimidae, Calyptomenidae) and pitas (Pitidae) in Tawau Hills Park, Sabah, Malaysian Borneo
Figure 8. Graphical summary of nest visitation by Dusky Broadbills Corydon sumatranus during the early nestbuilding period. X axis = time of day. The thin blue line represents a continuous nest watch, the thicker lines visits by broadbills. The colour of each visit alternates to illustrate visits with short intervening breaks, which would otherwise appear to blend into a single line; colour does not represent sex or individual. Red line represents disturbance. We watched the nest until 18:00 h, but no birds visited after 14:21 h.
Figure 4 in Notes on nesting, territoriality and behaviour of broadbills (Eurylaimidae, Calyptomenidae) and pitas (Pitidae) in Tawau Hills Park, Sabah, Malaysian Borneo
Figure 4. Graphical summary of nest visitation by Black-and-yellow Broadbills Eurylaimus ochromalus during incubation at one nest in 2013. Y axis = day (where day 68 = 9 March) and x axis = time of day. Thin blue lines represent time periods during which nest watches occurred, thicker lines represent visits by broadbills. Colour of thicker lines represents sex: pink = female, blue = male, dark grey = unsexed. Individuals could not always be sexed due to the angle that they approached the nest; these three colours probably represent just two individuals. When visit breaks are too short to be visible, they are marked with a small green line.
Figure 11 in Notes on nesting, territoriality and behaviour of broadbills (Eurylaimidae, Calyptomenidae) and pitas (Pitidae) in Tawau Hills Park, Sabah, Malaysian Borneo
Figure 11. Map of the topography of our study area showing sightings of four species of pittas during the 2012 field work: Black-crowned Pitta Erythropitta ussheri (purple), Blue-headed Pitta Hydrornis baudii (blue), Bornean Banded Pitta H. schwaneri (yellow) and Blue-banded Pitta Erythropitta arquata (red). Each point represents a sighting. Variation in point size and shape is an artefact of 3D plotting. The map demonstrates that the areas occupied by each species overlapped considerably, especially on the ridge in the centre, where all four species occurred in close proximity. Black-crowned Pitta was seen more commonly in low swampy areas, whereas the other three species occurred mainly on this ridge and its slopes. A fifth species, Hooded Pitta Pitta sordida, was heard infrequently and seen just once, a juvenile, at the green point. Grey lines represent trails, the brown line a water pipeline, and the blue line the Tawau River. 3D map courtesy of JAXA (2015).
Figure 6 in Notes on nesting, territoriality and behaviour of broadbills (Eurylaimidae, Calyptomenidae) and pitas (Pitidae) in Tawau Hills Park, Sabah, Malaysian Borneo
Figure 6. Graphical summary of nest visitation by Banded Broadbills Eurylaimus javanicus during nest construction. Y axis = day (day 70 = 11 March) and x axis = time of day. Thin blue lines represent time periods during which nest watches occurred, thicker lines visits by broadbills. The colour of each visit alternates to highlight visits with short intervening breaks, which would otherwise appear to blend into a single line; colour does not represent sex or individual.
Figure 12. Two frames from a in Notes on nesting, territoriality and behaviour of broadbills (Eurylaimidae, Calyptomenidae) and pitas (Pitidae) in Tawau Hills Park, Sabah, Malaysian Borneo
Figure 12. Two frames from a video of an immature male Blue-headed Pitta Hydrornis baudii (top) showing a white throat, patches of blue in the underparts, and reddish wing-coverts, with an adult female Blue-headed Pitta (bottom). Frames from video ML 479513 (Justin Hite)
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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.
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.