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29 results for “Driving Behaviour”
Data from: Foraging behaviour and habitat-use drives niche segregation in sibling seabird species
<p>To mediate competition, similar sympatric species are assumed to utilise different resources, or the same but geographically separated resources. The two giant petrels (<em>Macronectes</em> spp.) are intriguing in that they are morphologically similar seabirds with overlapping diets and distributions. To better understand the mechanisms allowing their co-existence, we investigated intra- and interspecific niche segregation at Marion Island (Southern Indian Ocean), one of the few localities where they breed in sympatry. We used GPS tracks from 94 individuals and remote-sensed environmental data to quantify habitat-use, combined with blood carbon and nitrogen stable isotope ratios from 90 individuals to characterise their foraging habitat and trophic ecology. Females of both species made distant at sea foraging trips and fed at a similar trophic level. However, they used distinct pelagic habitats. In contrast, males of both species mainly foraged on or near land, resulting in significant sexual segregation, but high interspecific habitat and diet overlap. However, some males showed flexible behavioural strategies, also making distant, pelagic foraging trips. Using contemporaneous tracking, environmental and stable isotope data we provide a clear example of how sympatric sibling species can be segregated along different foraging behaviour dimensions.</p>
Building behaviour does not drive rates of phenotypic evolution in spiders
<p>This data set contains raw data tables, scripts and supplemental figures supporting the article Wolff et al. (2021, PNAS 118: e2102693118). In our study we assembled morphometric and ecological trait data of spiders from literature and de novo measurements and observations and used this data to infer the rates of morphological change over deep time in relation to web building behaviour.</p>
Data for: Intergenerational genotypic interactions drive collective behavioural cycles in a social insect
<p>Many social animals display collective activity cycles based on synchronous behavioural oscillations across group members. A classic example is the colony cycle of army ants, where thousands of individuals undergo stereotypical biphasic behavioural cycles of about one month. Cycle phases coincide with brood developmental stages, but the regulation of this cycle is otherwise poorly understood. Here, we probe the regulation of cycle duration through interactions between brood and workers in an experimentally amenable army ant relative, the clonal raider ant. We first establish that cycle length varies across clonal lineages using long-term monitoring data. We then investigate the putative sources and impacts of this variation in a cross-fostering experiment with four lineages combining developmental, morphological, and automated behavioural tracking analyses. We show that cycle length variation stems from variation in the duration of the larval developmental stage, and that this stage can be prolonged not only by the clonal lineage of brood (direct genetic effects), but also of the workers (indirect genetic effects). We find similar indirect effects of worker line on brood adult size and, conversely but more surprisingly, indirect genetic effects of the brood on worker behaviour (walking speed and time spent in the nest).</p>
Data from: Foraging behaviour and habitat-use drives niche segregation in sibling seabird species
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Data for: Intergenerational genotypic interactions drive collective behavioural cycles in a social insect
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Building behaviour does not drive rates of phenotypic evolution in spiders
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NexusStreets: a dataset combining human and autonomous driving behaviours
<p>The NexusStreets dataset contains human and autonomous driving scenes. They are collected by monitoring a target vehicle that can be either autonomous or controlled by a human driver. Data is presented in the shape of:</p> <ul> <li>sequences of JPEG images, one image per timestamp</li> <li>target vehicle state information for each timestamp</li> </ul> <p>The dataset has been built on the CARLA simulator, thanks to Baidu Apollo and a Logitech G29 steering wheel for the autonomous and human drivings, respectively.<br>The dataset consists of 520 scenes (260 pairs of mirrored scenarios) of 60 seconds each.<br>The folders are organized as follows:</p> <pre><code>. ├── ... ├── <driving mode> │ ├── <town> │ │ ├── <trial> │ │ │ └── ... │ │ └── ... │ └── ... └── ...</code></pre> <ul> <li>driving mode: corresponds to the control modality of the target vehicle under test and can be either Baidu Apollo or manual driving;</li> <li>town: one of the five default maps in CARLA (e.g., Town01, Town02, etc);</li> <li>trial: 60 different trials per map, they differ in traffic and weather conditions (except Town04). Each trial records 60 seconds of simulation, logging 120 frames per video and an equal number of rows per CSV. In particular, each trial includes: <ul> <li>video: this folder groups the JPEG images;</li> <li>state_features.csv: reports the state information of the target vehicle for each frame;</li> <li>detection_features.csv: reports the 2D bounding box detections obtained from a pre-trained YOLOv7 detector.</li> </ul> </li> </ul>
Behavioural thermoregulation and food availability drives fine-scale seasonal habitat partitioning in limpets
<ol> <li>Small-scale spatial variation in temperature plays a key role in limiting the distribution of organisms in thermally heterogeneous environments. In the rocky intertidal zone, intra-day temperature variation at small scales (cm-m) can easily exceed 30°C.</li> <li>To experimentally test the impact of this small-scale temperature heterogeneity on the distribution of an ecologically important limpet species (<em>Cellana</em> <em>denticulata</em>), boulders on an intertidal rocky reef in New Zealand were rotated, and small-scale temperature variability and food availability were measured throughout one year. Small-scale variability in thermal tolerance, heart rate, and heat shock protein expression was also measured to relate in situ limpet distributions with environmental conditions. Temperature variability was measured using limpet bio-mimics and HOBO pendant temperature loggers, while food availability (chlorophyll <em>a</em> concentration) was measured on in situ concrete fiberboard tiles.</li> <li>To measure limpet distributions, every tagged limpet on each of 18 boulders was followed from June 2021–2022. During each sampling, the location of each limpet, compass direction, and slope of the surface that each limpet inhabited were measured. To test for physiological differences among limpets from each microhabitat, thermal tolerance, and heat shock protein expression were measured in collected limpets; in situ heart rates and body temperatures were also measured sporadically on hot days.</li> <li>Maximum predicted body temperatures (36–39°C), heart rates, and actual body temperatures were greatest on equatorial surfaces (i.e., surfaces facing the equator) whereas food availability was greatest on poleward-facing surfaces. During summer, limpets moved towards surfaces that minimised their body temperatures and maximised food availability, namely vertical and poleward facing surfaces and undersides of boulders.</li> <li>Thermal tolerance, measured using Arrhenius breakpoint temperatures (mean ± SE: 34.7–35.8 ± 0.4–0.7°C) and flat line temperatures (36.2–37.4 ± 0.3–0.4°C), were similar among limpets facing different directions. Surprisingly, heat shock protein expression was relatively consistent throughout the year and among directions.</li> <li>Overall, limpet populations are resilient to thermal stress because they effectively use behavioural thermoregulation to exploit cooler microhabitats that also have greater food availability during summer.</li> </ol>
Behavioural thermoregulation and food availability drives fine-scale seasonal habitat partitioning in limpets
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Data from: Vessel noise levels drive behavioural responses of humpback whales with implications for whale-watching
<p><span>Disturbance from whale-watching can cause significant behavioural changes with fitness consequences for targeted whale populations. However, the sensory stimuli triggering these responses are unknown, preventing effective mitigation. Here, we test the hypothesis that vessel noise level is a driver of disturbance, using humpback whales (<i>Megaptera novaeangliae</i>) as a model species. We conducted controlled exposure experiments (<i>n</i>= 42) on resting mother-calf pairs on a resting ground off Australia, by simulating whale-watch scenarios with a research vessel (range 100 m, speed 1.5 knts) playing back vessel noise at control/low (124/148 dB), medium (160 dB) or high (172 dB) LF-weighted source levels (re 1 μPa RMS@1m). Compared to<i> </i>control/low treatments,<i> </i>during<i> </i>high noise playbacks the mother's proportion of time resting decreased by 30%, respiration rate doubled and swim speed increased by 37%. We therefore conclude that vessel noise is an adequate driver of behavioural disturbance in whales and that regulations to mitigate the impact of whale-watching should include noise emission standards. </span></p>
Data from: Vessel noise levels drive behavioural responses of humpback whales with implications for whale-watching
<p><span>Disturbance from whale-watching can cause significant behavioural changes with fitness consequences for targeted whale populations. However, the sensory stimuli triggering these responses are unknown, preventing effective mitigation. Here, we test the hypothesis that vessel noise level is a driver of disturbance, using humpback whales (<i>Megaptera novaeangliae</i>) as a model species. We conducted controlled exposure experiments (<i>n</i>= 42) on resting mother-calf pairs on a resting ground off Australia, by simulating whale-watch scenarios with a research vessel (range 100 m, speed 1.5 knts) playing back vessel noise at control/low (124/148 dB), medium (160 dB) or high (172 dB) LF-weighted source levels (re 1 μPa RMS@1m). Compared to<i> </i>control/low treatments,<i> </i>during<i> </i>high noise playbacks the mother's proportion of time resting decreased by 30%, respiration rate doubled and swim speed increased by 37%. We therefore conclude that vessel noise is an adequate driver of behavioural disturbance in whales and that regulations to mitigate the impact of whale-watching should include noise emission standards. </span></p>
Data from: Resource predictability drives inter-annual variation in migratory behaviour in a long-lived bird
<p><span><span><span><span><span><span><span><span><span><span><span>There is a growing awareness that experience may play a major role in migratory decisions, especially in long-lived species. However, empirical support remains to date scarce. Here, we use multi-year GPS-tracking data on 28 adult Lesser Black-backed Gulls (<i>Larus fuscus</i>), a long-lived species for which migratory strategies typically consist of a series of long stopovers, to assess how experience affects interannual variation in stopover selection. We expect that food source reliability should play a pivotal role, as it both reduces the uncertainty on food availability across years, and enables for more efficient foraging during stopovers by reducing searching efforts. We found that during stopovers gulls indeed developed high fidelity to particular foraging locations, which strongly reduced the daily distance travelled for foraging. When revisiting stopovers in consecutive years, birds used over 80% of foraging locations from the previous year. Although the average fidelity to stopovers across years was a high as 85%, stopovers where birds showed high foraging site fidelity were up to 60% more likely to be revisited compared to stopover with low foraging site fidelity. Accordingly, birds using more stopovers with reliable foraging opportunities showed significantly less interannual variation in their stopover use than birds using stopovers with less reliable foraging opportunities. Our results thus highlight the need to further deepen our understanding of the role of cognitive processes in individual variation in migratory behaviour.</span></span></span></span></span></span></span></span></span></span></span></p>
Data from: Relaxed risk of predation drives parallel evolution of stickleback behaviour
<p><span>The occurrence of similar phenotypes in multiple independent populations derived from common ancestral conditions (<em>viz</em>. parallel evolution) is a testimony of evolution by natural selection. Parallel evolution implies that populations share a common phenotypic response to a common selection pressure associated with habitat similarity. Examples of parallel evolution at genetic and phenotypic levels are fairly common, but the driving selective agents often remain elusive. Similarly, the role of phenotypic plasticity in facilitating early stages of parallel evolution is unclear. We investigated whether the relaxation of predation pressure associated with the colonization of freshwater ponds by nine-spined sticklebacks (<em>Pungitius pungitius</em>) likely explains the divergence in complex behaviours between marine and pond populations, and whether this divergence is parallel. Using laboratory-raised individuals exposed to different levels of perceived predation risk, we calculated vectors of phenotypic divergence for four behavioural traits between habitats and predation risk treatments. We found a significant correlation between the directions of evolutionary divergence and phenotypic plasticity, suggesting that divergence in behaviour between habitats is aligned with the response to relaxation of predation pressure. Finally, we show alignment across multiple pairs of populations, and that relaxation of predation pressure has likely driven parallel evolution of behaviour in this species.</span></p>
Data for: Time at risk: Individual spatial behaviour drives effectiveness of marine protected areas and fitness
<p>The effectiveness of Marine Protected Areas (MPAs) depends on the mobility of the populations that are the target of protection, with sedentary species likely to spend more time under protection even within small MPAs. However, little is understood about how individual variation in mobility may influence the risk of crossing an MPA border, as well as the fitness costs associated with being exposed to spillover fisheries. Here we investigated the repeatability of spatial behaviour, its role in determining the probability of being at risk (i.e. exposed to the fishery) and the fitness consequences for the individuals. We acoustically tracked the movements and fate of 282 individuals of three fish species during 8 years in a southern Norwegian fjord. We found that for individuals with a home range centroid inside the MPA, the probability of being at risk outside the MPA increased rapidly with reduced distance from the home range centroid to MPA borders, particularly for individuals having larger and more dispersed home ranges. We also detected that the seasonal expansions of the home range are associated with increased time at risk. Last, we show that individuals spending more time at risk were also more likely to be harvested by the fishery operating outside the MPA. Our study provides clear links between individual fish behaviour, fisheries-induced selection, and the effectiveness of protected areas. These links highlight the importance of intraspecific trait variation for understanding the spatial dynamics of populations and emphasize the need to consider individual behaviour when designing and implementing MPAs.</p>
Data from: Variation in selective regimes drives intraspecific variation in life-history traits and migratory behaviour along an elevational gradient
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Data for: Time at risk: Individual spatial behaviour drives effectiveness of marine protected areas and fitness
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Data from: Vessel noise levels drive behavioural responses of humpback whales with implications for whale-watching
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Data from: Resource predictability drives inter-annual variation in migratory behaviour in a long-lived bird
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Data from: Variation in predation regime drives sex-specific differences in mosquitofish foraging behaviour
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Data from: Chronotype variation drives night-time sentinel-like behaviour in hunter–gatherers
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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.