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4,028 results for “Behaviour”

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dryad40/100

Understanding behavioural responses to human-induced rapid environmental change: A meta-analysis

<p>Behavioural responses are often the first reaction of an organism to human induced rapid environmental change (HIREC), yet current empirical evidence provides no consensus about the main environmental features that animals respond to behaviourally or which behaviours are responsive to HIREC. To understand how changes in behaviour can be predicted by different forms of HIREC, we conducted a meta-analysis of the existing empirical literature focusing on behavioural responses to five axes of environmental change (climate change, changes in CO<sub>2</sub>, direct human impact, changes in nutrients and biotic exchanges) in five behavioural domains (aggression, exploration, activity, boldness and sociability) across a range of taxa but with a focus on fish and bird species. Our meta-analysis revealed a general absence of directional behavioural responses to HIREC. However, the absolute magnitude of the effect sizes was large. This means that animals have strong behavioural responses to HIREC, but the responses are not clearly in any particular direction. Moreover, absolute magnitude of the effect sizes differed between different behaviours and different forms of HIREC:  Exploration responded more strongly than activity, and climate change induced the strongest behavioural responses. Model heterogeneities identified that effect sizes varied primarily because of study design, and the specific sample of individuals used in a study; phylogeny also explains significant variation in our bird model. Based on these results, we make four recommendations to further our understanding:  1) a more balanced representation of laboratory and field studies, 2) consideration of context dependency, 3) standardisation of the methods and definitions used to quantify and study behaviours, and 4) consideration of the role for individual differences in behaviour.</p>

opencc-zeroSep 2021View details →
dryad40/100

Contributions of genetic and non-genetic sources to variation in cooperative behaviour in a cooperative mammal

<p>The evolution of cooperative behaviour is a major area of research among evolutionary biologists and behavioural ecologists, yet there are few estimates of its heritability or of its evolutionary potential and long-term studies of identifiable individuals are required to disentangle genetic and non-genetic components of cooperative behaviour. Here we use long-term data on over 1800 individually recognisable wild meerkats (<i>Suricata suricatta</i>) collected over 30 years and a multi-generational genetic pedigree to partition phenotypic variation in three cooperative behaviours (babysitting, pup feeding and sentinel behaviour) into individual, additive genetic and other sources, and to assess their repeatability and heritability. In addition to strong effects of sex, age and dominance status, we found significant repeatability in individual contributions to all three types of cooperative behaviour both within and across breeding seasons. Like most other studies of the heritability of social behaviour, we found that the heritability of cooperative behaviour was low. However, our analysis suggests that a substantial component of the repeatable individual differences in cooperative behaviour that we observed was a consequence of additive genetic variation. Our results consequently indicate that cooperative behaviour can respond to selection, and suggest scope for further exploration of the genetic basis of social behaviour.</p>

opencc-zeroOct 2021View details →
dryad40/100

Inhibitory control, exploration behaviour and manipulated ecological context are associated with foraging flexibility in the great tit

<p class="MsoCommentText">Organisms are constantly under selection to respond effectively to diverse, sometimes rapid, changes in their environment, but not all individuals are equally plastic in their behaviour. Although cognitive processes and personality are expected to influence individual behavioural plasticity, the effects reported are highly inconsistent, which we hypothesise is because ecological context is usually not considered.</p> <p class="MsoCommentText">We explored how one type of behavioural plasticity, foraging flexibility, was associated with inhibitory control (assayed using a detour-reaching task) and exploration behaviour in a novel environment (a trait closely linked to the fast-slow personality axis). We investigated how these effects varied across two experimentally manipulated ecological contexts, food value and predation risk.</p> <p class="MsoCommentText">In the first phase of the experiment, we trained great tits <i>Parus major</i> to retrieve high value (preferred) food that was hidden in sand so that this became the familiar food source. In the second phase, we offered them the same familiar hidden food at the same time as a new alternative option that was visible on the surface, which was either high or low value, and under either high or low perceived predation risk. Foraging flexibility was defined as the proportion of choices made during four minute trials that were for the new alternative food source.</p> <p>Our assays captured consistent differences among individuals in foraging flexibility. Inhibitory control was associated with foraging flexibility - birds with high inhibitory control were more flexible when the alternative food was high value, suggesting they inhibited the urge to select the familiar food and instead selected the new food option. Exploration behaviour also predicted flexibility – fast explorers were more flexible, supporting the information gathering hypothesis. This tendency was especially strong under high predation risk, suggesting risk aversion also influenced the observed flexibility because fast explorers are risk prone and the new unfamiliar food was perceived to be the risky option. Thus, both behaviours predicted flexibility, and these links were at least partly dependent on ecological conditions.</p> <p class="MsoCommentText">Our results demonstrate that an executive cognitive function (inhibitory control) and a behavioural assay of a well-known personality axis are both associated with individual variation in the plasticity of a key functional behaviour. That their effects on foraging flexibility were primarily observed as interactions with food value or predation risk treatments also suggests that the population level consequences of some behavioural mechanisms may only be revealed across key ecological conditions.</p>

opencc-zeroOct 2021View details →
zenodo40/100

The effects of condensed tannins on behaviour and performance of a specialist aphid on Aspen

<p>Data and Rscripts used to generate the results in D&iacute;ez Rodr&iacute;guez, Kloth and Albrectsen: The effects of condensed tannins on behaviour and performance of a specialist aphid on Aspen.</p>

opencc-by-4.0Dec 2020View details →
zenodo40/100

Motivation and harvesting behaviour of fishers in a specialized fishery targeting a top predator species at risk

<p>Effective management of wildlife resources depends on understanding and cooperating with the human users of the resource, particularly as policies may be rejected if user satisfactions are not met. In Australia, recreational anglers can legally target a migratory top predator, the shortfin mako shark (<em>Isurus oxyrinchus</em>), that is also a species at risk. It is assumed that most of the sharks are released and population remains minimally impacted; yet, the actual release rate of this species is unknown and little information is available on the motivations and satisfactions of anglers that participate in this fishery. The rate of catch-and-release fishing was ascertained by a web survey of recreational shark anglers from three south-eastern Australian states. Respondents reported that ~70% of the captured makos were released, with significant geographic variation in release rates between states. Differences in harvesting behaviour between states could be attributed to the varying value assigned to shortfin mako as a sport fish and table fish among regions. Additionally, higher rates of release among anglers from New South Wales may be linked to increased opportunity for resource substitution (i.e. greater diversity of game fish species) and established norms driven by current catch-and-release fisheries in that region. Increased participation in catch-and-release fishing may be achieved by establishing behavioural norms by the provision of more desirable incentives to release sharks during fishing competitions. Data on regional variation in release rates yields important information for managers to target specialized fishers to incentivize catch-and-release fishing with an objective of changing behaviour. Information on natural resource user motivations and satisfactions, such as studied here, has the potential to guide management actions and the ways in which managers interact with resource users.</p>

opencc-by-4.0Dec 2018View details →
zenodo40/100

Safeconsume: Risk behaviour map

<p>The Risk-behaviour map is a document intended to aid access to and transfer of key data between research groups in the European project Safeconsume. The map covers only steps from retail to consumption for the case studies in Safeconsume where the consumer can reduce risk for foodborne infection (CCHs, Critical Consumer Handling).&nbsp;</p> <p>The map contains information about observed/reported behaviours that can affect risk for foodborne infection divided by country, consumer group, pathogen, food and step in the journey from retail to consumption.</p> <p>Details about data collection is given in: Skuland, S.E., Borda, D., Didier, P., Dumitras&cedil;cu, L., Ferreira, V., Foden, M., Langsrud, S., Ma&icirc;tre, I., Martens, L., M&oslash;retr&oslash;, T., Nguyen-The, C., Nicolau, A. I., Nunes, C., Rosenberg, T. G., Teigen, H. M., Teixeira, P., Truninger, M., 2020. European Food Safety: Mapping Critical Food Practices and Cultural Differences in France, Norway, Portugal, Romania and the UK, in: Skuland, S.E. (Ed.). SIFO report, Oslo.&nbsp;<a href="https://oda.oslomet.no/oda-xmlui/handle/20.500.12199/3112">ODA Open Digital Archive: European food safety: Mapping critical food practices and cultural differences in France, Norway, Portugal, Romania and the UK (oslomet.no)</a></p> <p>Questions about the RM-map can be raised to the SafeConsume project coordinator: <a href="mailto:Solveig.langsrud@nofima.no">Solveig.langsrud@nofima.no</a>&nbsp;</p> <p><strong>Variable list:</strong></p> <p>&nbsp;</p> <table> <tbody> <tr> <td> <p><strong>Name&nbsp;</strong></p> </td> <td> <p><strong>Description&nbsp;</strong></p> </td> </tr> <tr> <td> <p>CCH/Critical steps&nbsp;&nbsp;</p> </td> <td> <p>Identification of the step and flow diagram the entry belongs to:&nbsp; The step in the flow diagram where the consumer through actions or choices can significantly reduce risk of foodborne infection&nbsp;&nbsp;</p> <p>&nbsp;</p> <p>The CCHs/critical steps belong to one of the following processes: Poultry and vegetables (PVF), Eggs (EGG), Shellfish (SHE), Ready-to-Eat (RTE).&nbsp;Each step is accompanied by the principle of risk reducing effect:&nbsp;</p> <p>Food choice: Buy or eat food with lower risk (e.g avoid buying food if not stored properly in shop, buying pasteurised products, choosing to eat food before use-by-date). Applies to all pathogens.&nbsp;</p> <p>Inhibit growth: Storing ready-to-eat food at cool temperature and consume within expiration date or adding preservatives. Applies to Listeria and Salmonella&nbsp;</p> <p>Wash/Remove: Wash vegetables and fruit. Applies to all pathogens&nbsp;&nbsp;</p> <p>Kill/Heat: Heat treatment to kill pathogens, freezing (Campylobacter)&nbsp;</p> <p>Personal hygiene:&nbsp; Avoid cross-contamination through hand washing or not touching food. Not preparing food when sick&nbsp;</p> <p>Hygiene: Avoid cross-contamination through washing surfaces and using clean utensils&nbsp;</p> </td> </tr> <tr> <td> <p>Cause or sources&nbsp;</p> </td> <td> <p>Description of causes and sources for the hazard to occur (presence, survival, transfer or growth of pathogen). See Appendix 3 for details&nbsp;</p> </td> </tr> <tr> <td> <p>Consumer Id&nbsp;</p> </td> <td> <p>Unique identifier of consumer.&nbsp;&nbsp;</p> </td> </tr> <tr> <td> <p>Pathogen&nbsp;</p> </td> <td> <p>The pathogen(s) that are relevant for the specific CCH/critical step&nbsp;</p> </td> </tr> <tr> <td> <p>Expert opinion: Effect on pathogen&nbsp;</p> </td> <td> <p>Effect of behaviour on the hazard estimated by a team of&nbsp; microbiologists.&nbsp;</p> </td> </tr> <tr> <td> <p>Effect on pathogen&nbsp;</p> </td> <td> <p>The effect on pathogen is an estimate of the change in the level of viable pathogens as a direct or indirect consequence of the behaviour, action or process.&nbsp;&nbsp;</p> </td> </tr> <tr> <td> <p>Consumer group, education, income, rural/urban and country&nbsp;</p> </td> <td> <p>When applicable, demographic data associated with the entry.&nbsp;</p> </td> </tr> </tbody> </table> <p><strong>Classification</strong></p> <table> <tbody> <tr> <td> <p>Name&nbsp;</p> </td> <td> <p>Attributes&nbsp;</p> </td> <td> <p>Classification, llist of codes/units&nbsp;</p> </td> </tr> <tr> <td> <p>CCH/Critical step&nbsp;</p> </td> <td> <p>Predefined, multiple choices&nbsp;</p> </td> <td> <table> <tbody> <tr> <td> <p>EGG 1 Food choice&nbsp;</p> </td> </tr> <tr> <td> <p>EGG 3.2 Hygiene&nbsp;</p> </td> </tr> <tr> <td> <p>EGG 4a Inhibit growth&nbsp;</p> </td> </tr> <tr> <td> <p>EGG 4b Inhibit growth&nbsp;</p> </td> </tr> <tr> <td> <p>EGG 5.1 Hygiene&nbsp;</p> </td> </tr> <tr> <td> <p>EGG 5.2 Personal hygiene&nbsp;</p> </td> </tr> <tr> <td> <p>EGG 6a Kill&nbsp;</p> </td> </tr> <tr> <td> <p>EGG 6b Kill&nbsp;</p> </td> </tr> <tr> <td> <p>EGG 6c Food choice&nbsp;</p> </td> </tr> <tr> <td> <p>EGG 6c Inhibit growth&nbsp;</p> </td> </tr> <tr> <td> <p>EGG 7.3 Inhibit growth&nbsp;</p> </td> </tr> <tr> <td> <p>EGG 8.3 Inhibit growth&nbsp;</p> </td> </tr> <tr> <td> <p>EGG 9.1 Inhibit growth&nbsp;</p> </td> </tr> <tr> <td> <p>EGG 11.3 Inhibit growth&nbsp;</p> </td> </tr> <tr> <td> <p>PVF 1.1 Food choice&nbsp;</p> </td> </tr> <tr> <td> <p>PVF 1.2 Food choice&nbsp;</p> </td> </tr> <tr> <td> <p>PVF 2.1 Inhibit growth&nbsp;</p> </td> </tr> <tr> <td> <p>PVF 3a Inhibit growth&nbsp;</p> <p>PVF 3a Kill&nbsp;</p> </td> </tr> <tr> <td> <p>PVF 3b Inhibit growth&nbsp;</p> </td> </tr> <tr> <td> <p>PVF 5.1 Personal hygiene&nbsp;</p> </td> </tr> <tr> <td> <p>PVF 5.2 Personal hygiene&nbsp;</p> </td> </tr> <tr> <td> <p>PVF 6.1 Kill&nbsp;</p> </td> </tr> <tr> <td> <p>PVF 7a Wash/Remove&nbsp;</p> </td> </tr> <tr> <td> <p>PVF 7b Personal hygiene&nbsp;</p> </td> </tr> <tr> <td> <p>PVF 7b Wash/Remove&nbsp;</p> </td> </tr> <tr> <td> <p>PVF 8b Hygiene&nbsp;</p> </td> </tr> <tr> <td> <p>PVF 8b Personal Hygiene&nbsp;</p> <p>PVF 9.1 Hygiene&nbsp;</p> </td> </tr> <tr> <td> <p>PVF 10.1 Hygiene&nbsp;</p> </td> </tr> <tr> <td> <p>PVF 11.1 Inhibit growth&nbsp;</p> <p>PVF 11.2 Inhibit growth&nbsp;</p> </td> </tr> <tr> <td> <p>RTE 1.1 Food choice&nbsp;</p> </td> </tr> <tr> <td> <p>RTE&nbsp; 3.1 Inhibit growth&nbsp;</p> </td> </tr> <tr> <td> <p>RTE&nbsp; 6.1 Inhibit growth&nbsp;</p> </td> </tr> <tr> <td> <p>RTE 4b Personal hygiene&nbsp;</p> </td> </tr> <tr> <td> <p>RTE 5.2 Hygiene&nbsp;</p> </td> </tr> <tr> <td> <p>RTE 5.2 Personal hygiene&nbsp;</p> </td> </tr> <tr> <td> <p>RTE 6.1 Inhibit growth&nbsp;</p> </td> </tr> <tr> <td> <p>RTE 7.1 Inhibit growth&nbsp;</p> </td> </tr> <tr> <td> <p>RTE 7.2 Personal hygiene&nbsp;</p> </td> </tr> <tr> <td> <p>SHE 1.1 Food choice&nbsp;</p> </td> </tr> <tr> <td> <p>SHE 7.1 Kill&nbsp;</p> <p>No risk&nbsp;</p> <p>Not designated to CCH&nbsp;</p> </td> </tr> </tbody> </table> <p>&nbsp;</p> </td> </tr> <tr> <td> <p>Causes/sources&nbsp;</p> </td> <td> <p>Free text&nbsp;</p> </td> <td> <p>&nbsp;</p> </td> </tr> <tr> <td> <p>Consumer ID&nbsp;</p> </td> <td> <p>Free text&nbsp;</p> </td> <td> <p>&nbsp;</p> </td> </tr> <tr> <td> <p>Pathogen&nbsp;</p> </td> <td> <p>Predefined, multiple choice&nbsp;</p> </td> <td> <ul> <li> <p>Salmonella:&nbsp; S. Enterica&nbsp;</p> </li> <li> <p>Campylobacter: C. jejuni&nbsp;</p> </li> <li> <p>Listeria: Listeria monocytogenes&nbsp;</p> </li> <li> <p>Norovirus&nbsp;</p> </li> <li> <p>Toxoplasma: Toxoplasma gondii&nbsp;</p> </li> </ul> </td> </tr> <tr> <td> <p>Expert opinion: Effect on pathogen&nbsp;</p> </td> <td> <p>Predefined&nbsp;</p> </td> <td> <ul> <li> <p>High reduction: This behaviour will have a high reduction on the level of pathogens on food/surfaces/hands&nbsp;</p> </li> <li> <p>Median reduction: This behaviour will reduce the level of pathogens on food/surfaces/hands&nbsp;</p> </li> <li> <p>No effect: This behaviour will most likely not have a significant effect on the level of viable pathogens (&lt; 1 log10 reduction/increase or less than 10 cells/particles transfer) For food choice: Random choice is rated as no effect&nbsp;</p> </li> <li> <p>Median increase: This behaviour will lead to a higher number of pathogens&nbsp;</p> </li> <li> <p>High increase: This behaviour will significantly increase the number of pathogens on food/surfaces/hands&nbsp;</p> </li> </ul> </td> </tr> <tr> <td> <p>Effect on pathogen comment&nbsp;</p> </td> <td> <p>Free text&nbsp;</p> </td> <td> <p>&nbsp;</p> </td> </tr> <tr> <td> <p>Consumer group&nbsp;</p> </td> <td> <p>Predefined&nbsp;</p> <p>&nbsp;</p> </td> <td> <ul> <li> <p>Elderly; &gt;70 years, men and women&nbsp;</p> </li> <li> <p>Pregnant women; immunocompromized&nbsp;</p> </li> <li> <p>Young family: Couples (married or cohabitant) where the women is pregnant or living with their own child(ren) (including stepchildren and adopted children) aged less than 12 months&nbsp;</p> </li> <li> <p>Young, single man: Men age 20-29, Living alone or with flatmates&nbsp;</p> </li> <li> <p>Other: Consumers not belonging to the defined groups&nbsp;</p> </li> </ul> </td> </tr> <tr> <td> <p>Educational level&nbsp;</p> </td> <td> <p>Predefined&nbsp;</p> </td> <td> <ul> <li> <p>Basic&nbsp;</p> </li> <li> <p>Secondary&nbsp;</p> </li> <li> <p>Tertiary&nbsp;</p> </li> <li> <p>Not given&nbsp;</p> </li> </ul> </td> </tr> <tr> <td> <p>Living area&nbsp;</p> </td> <td> <p>Predefined&nbsp;</p> </td> <td> <ul> <li> <p>Rural&nbsp;</p> </li> <li> <p>Urban &nbsp;</p> </li> </ul> </td> </tr> <tr> <td> <p>Income&nbsp;</p> </td> <td> <p>Predefined&nbsp;&nbsp;</p> </td> <td> <ul> <li> <p>Low&nbsp;</p> </li> <li> <p>Median&nbsp;</p> </li> <li> <p>High&nbsp;&nbsp;</p> </li> </ul> </td> </tr> <tr> <td> <p>Country&nbsp;</p> </td> <td> <p>Predefined&nbsp;</p> </td> <td> <p>Portugal, France, Romania, UK, Norway, Hungary,&nbsp;</p> </td> </tr> </tbody> </table>

opencc-by-4.0Oct 2022View details →
zenodo40/100

Intermediate files accompanying manuscript "The genomic basis of reproductive and migratory behaviour in a polymorphic salmonid".

<p>Recent ecotypic differentiation provides unique opportunities to investigate the genomic basis and architecture of local adaptation, while offering insights into how species form and persist. Sockeye salmon (<em>Oncorhynchus nerka</em>) exhibit migratory and resident (&lsquo;kokanee&rsquo;) ecotypes, which are further distinguished into shore-spawning and stream-spawning reproductive ecotypes. Here, we analysed 36 sockeye (stream-spawning) and kokanee (stream- and shore-spawning) genomes from a system where they co-occur and have a recent common ancestry (Okanagan Lake/River in British Columbia, Canada) to investigate the genomic basis of reproductive and migratory behaviour. Examination of the genomic landscape of differentiation, differences in allele frequencies, and genotype-phenotype associations revealed three main blocks of sequence differentiation on chromosomes 7, 12, and 20, associated with migratory behaviour, spawning location, and spawning timing. Several structural variants identified in these same areas suggest they could contribute to ecotypic differentiation directly as causal variants or via maintenance of their genomic architecture through recombination suppression mechanisms. Genes in these regions were related to spatial memory and swimming endurance (<em>SYNGAP</em>, <em>TPM3</em>), as well as eye and brain development (including <em>SIX6</em>), potentially associated with differences in migratory behaviour and visual habitats across spawning locations, respectively. Additional genes (<em>GREB1L</em>, <em>ROCK1</em>) identified have been associated with timing of migration in other salmonids and could explain variation in timing of spawning in our study. Together, these results based on the joint analysis of sequence and structural variation represent a significant advance in our understanding of the genomic landscape of ecotypic differentiation at different stages in the speciation continuum.</p>

opencc-by-4.0Sep 2022View details →
zenodo40/100

Effect of social context on behaviour in anemonefish hierarchies

<p>Animal social groups can be organized in hierarchies where individual status determines privileges within the group, and stability is maintained through conflict (aggression-submission) and cooperation. Aggression, submission, and cooperation are not homogeneous among group members and are influenced by social context and associated trade-offs. However, studies of rank-specific behaviours are rare which limits our understanding of these patterns. Here, we performed rank ascension experiments using 15 groups of <em>Amphiprion clarkii</em>, a relatively mobile anemonefish, to assess rank-specific behaviour related to social context. We showed that: promoted ranks increased cooperation rates compared to non-promoted ranks to fulfil the tasks associated with their new status within the group; group size had no effect on group cooperation rates and subordinates did not increase cooperation after group size reduction; and frequency of one-on-one agonistic encounters within the group was asymmetric and higher for lower ranks. Thus, subordinates modulate rates of cooperative behaviour according to their status, irrespective of their body size or group size, and experience more conflict than dominants as they attempt to maintain their position in the hierarchy and avoid eviction. We provide evidence that social context in the form of rank has an important effect on individual behaviour and appears to be the key driver of cooperation and within-group conflict.</p>

opencc-by-4.0Nov 2022View details →
dryad40/100

Experimental reduction of haemosporidian infection affects maternal reproductive investment, parental behaviour, and offspring condition

<p>When hosts have a long coevolutionary history with their parasites, fitness costs of chronic infection have often been assumed to be negligible. Yet, experimental manipulation of infections sometimes reveals effects of parasites on their hosts, particularly during reproduction. Whether these effects translate into fitness costs remains unclear. Here, we present the results of an experimental study conducted in a free-ranging population of red-winged blackbirds (<em>Agelaius</em> <em>phoeniceus</em>) naturally experiencing a high prevalence of haemosporidian infections, with &gt; 95% of breeding adults infected with parasites from one or more haemosporidian genus. To assess effects of infection during reproduction, we manipulated adult red-winged blackbird females' parasite burden by administering an anti-haemosporidian medication before onset of egg-laying. Experimental reduction of infection resulted in significant benefits to mothers and their offspring. Medicated females laid heavier clutches, invested more in incubation and provisioning behaviour, and produced more fledglings than control females. Nestlings of medicated females had higher haematocrit, higher blood glucose, and lower reactive oxygen metabolites than nestlings of control females. Overall, our results provide evidence that, even in a species with a long history of high prevalence of infection, parasites can lead to decreased maternal investment and offspring quality, substantially reducing fitness.</p>

opencc-zeroNov 2022View details →
dryad40/100

Orb-web, no web: unusual mating behaviours in an orb-web spider

<p>The evolution of the orb-web was associated with a major radiation in spider diversity. The major functions of orb-webs are prey capture and as substrates for courtship and mating. However, the use of orb-webs has associated costs, and the modification and loss of orb-webs has evolved multiple times. While variation between species is evident, such as reductions in or loss of the orb-web for foraging, this kind of variation within species is rarely seen. Here, I describe laboratory observations of foraging and mating without an orb-web in a typical orb-weaving spider, the Australian garden orb-weaver (Hortophora biapicata). I discuss these behaviours, which are likely cases of opportunistic plasticity, in an ecological and evolutionary context. Further investigation of these rare and unusual behaviours may provide unique insights into the function and origin of important traits associated with the orb-web, and the evolution of extended phenotypes.</p>

opencc-zeroNov 2022View details →
dryad40/100

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>

opencc-zeroNov 2022View details →
zenodo40/100

Living links mixed-species behavioural synchrony

<p>Scan data of capuchin and squirrel monkey West and East Living Links groups for mixed-species behavioural synchrony.</p>

opencc-by-4.0Nov 2022View details →
zenodo40/100

Study of the Effects of Daylighting and Artificial Lighting at 59° Latitude on Mental States, Behaviour and Perception - Dataset

<p>Dataset relative to manuscript &quot;Study of the Effects of Daylighting and Artificial Lighting at 59&deg; Latitude on Mental States, Behaviour and Perception&quot;, submitted to Sustainability journal</p>

opencc-by-4.0Nov 2022View details →
dryad40/100

Evidence for personality development: juvenile red knots vary more in diet and exploratory behaviour than adults

<p>Evidence is accumulating that foraging behaviour and diet link to personality traits, yet little is known about how these associations emerge during development. It is expected that behaviour becomes more consistent with age, and thus experience. We compared exploratory behaviour and diet variances of juvenile and adult red knots shortly after migration to intertidal mudflats from tundra breeding grounds. By identifying the timing of the switch from tundra to marine isotopic signatures, we were also able to ask whether juveniles that arrived earlier were more consistent in exploration behaviour. We found that juveniles had a more diverse diet than adults, and that juveniles were less repeatable in exploration than adults. While juveniles had larger within-individual variance, among-individual variance was similar between age groups. Juveniles that arrived earlier did not vary more in exploratory behaviour compared to those that arrived later, suggesting that consistency in exploration was developed over a longer period than the four weeks of our study. Our findings suggests that after initial exploration of a novel habitat, juveniles likely try-out foraging techniques which later develop into consistent behaviours that differ among individuals. This study illuminates how personality can develop with experience in a free-living animal.</p>

opencc-zeroNov 2022View details →
zenodo40/100

Behavioural hydroregulation protects against acute effects of drought in a dry-skin ectotherm

<p>This dataset contains raw data and associated metadata as well as R scripts to analyze the data of our paper &quot;Behavioural hydroregulation protects against acute effects of drought in a dry-skinned ectotherm&quot; published in Oecologia.</p> <p>Abstract:</p> <p>During extreme climate events, behavioural thermoregulation may buffer ectotherms from thermal stress and overheating. However, heatwaves are also combined with dry spells and limited water availability, and how much individuals can behaviourally mitigate dehydration risks through microclimate selection remains largely unknown. Herein, we investigated the behavioural and physiological responses to changes in air and microhabitat humidity in a terrestrial ectotherm, the asp viper (<em>Vipera aspis</em>). We exposed individuals to a simulated heatwave together with water deprivation for 3 weeks, and manipulated air water vapour density (wet air vs. dry air) and microclimate (wet shelter vs. dry shelter) in a two-by-two factorial design. Dry air conditions led to substantial physiological dehydration and muscle wasting. Vipers exposed to dry air more often used a shelter that provided a moist micro-climate, which reduced dehydration and muscle wasting at the individual level. These results provide the first experimental evidence that active behavioural hydroregulation can mitigate specific physiological stress responses caused by a dry spell in an ectotherm. Future studies investigating organismal responses to climate change should consider moisture gradient in the habitat and integrate both hydroregulation and thermoregulation behaviours.</p>

opencc-by-4.0Sep 2022View details →
zenodo40/100

A reductionist paradigm for high-throughput behavioural fingerprinting in Drosophila melanogaster - DATASET 1 of 2

<p>Dataset associated with &quot;A reductionist paradigm for high-throughput behavioural fingerprinting in <em>Drosophila </em><em>melanogaster&quot; </em>by Jones et al &quot;A reductionist paradigm for high-throughput behavioural fingerprinting in Drosophila melanogaster&quot;.&nbsp;&nbsp;</p> <p>See http://lab.gilest.ro/coccinella for more information</p> <p>This is archive 1 of 2</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Nov 2022View details →
dryad40/100

Data from: aniMotum, an R package for animal movement data: rapid quality control, behavioural estimation and simulation

<p>1.  Animal tracking data are indispensable for understanding the ecology, behaviour and physiology of mobile or cryptic species. Meaningful signals in these data can be obscured by noise due to imperfect measurement technologies, requiring rigorous quality control as part of any comprehensive analysis.  </p> <p>2.  State-space models are powerful tools that separate signal from noise. These tools are ideal for quality control of error-prone location data and for inferring where animals are and what they are doing when they record or transmit other information. However, these statistical models can be challenging and time-consuming to fit to diverse animal tracking data sets.  </p> <p>3.  The R package <em><span>aniMotum</span></em> eases the tasks of conducting quality control on and inference of changes in movement from animal tracking data. This is achieved via: 1) a simple but extensible workflow that accommodates both novice and experienced users; 2) automated processes that alleviate complexity from data processing and model specification/fitting steps; 3) simple movement models coupled with a powerful numerical optimization approach for rapid and reliable model fitting.  </p> <p>4.  We highlight <em>aniMotum</em>'s<em> </em>capabilities through three applications to real animal tracking data. Full R code for these and additional applications are included as Supporting Information so users can gain a deeper understanding of how to use <em>aniMotum</em> for their own analyses. </p>

opencc-zeroDec 2022View details →
zenodo40/100

A population in perpetual motion: highly dynamic roosting behaviour of a tropical island endemic bat

<p>Dataset and R script for&nbsp;the manuscript &quot;<strong>A population in perpetual motion: highly dynamic roosting behaviour of a tropical island endemic bat</strong>&quot;. During the embargo period, data is available upon request from the authors (muriel.dietrich@ird.fr).</p>

opencc-by-4.0Dec 2021View details →
zenodo40/100

Data and R code from: Haemosporidian infections influence risk-taking behaviours in young male blackcaps Sylvia atricapilla

<p>This repository contains all data and code necessary to reproduce the results and figures of the paper:</p> <p>Remacha, C., Ram&iacute;rez, A., Arriero, E. and P&eacute;rez-Tris, J. 2023. Haemosporidian infections influence risk-taking behaviours in young male blackcaps <em>Sylvia atricapilla</em>. Animal Behaviour, 196, 113-126.&nbsp;<a href="https://doi.org/10.1016/j.anbehav.2022.12.001">https://doi.org/10.1016/j.anbehav.2022.12.001</a></p> <p>The repository contains a readme file (README_SYAT_MS_ANIBEH_Scripts.txt) with a description of the code and the data. The code is organised in eight R script files. Instructions to run the code are provided in the readme file. The data are organised in two separate files. One file (SYAT_MS_BH_ANIBEHdata.txt) contains data of exploratory and antipredatory behaviours of 43 young male blackcaps. The other one (SYAT_MS_BH_BIOL_ANIBEHdata.txt) contains biological and experimental attributes of the same individuals: status and intensity of parasite infection, experimental treatment, morphology and body mass.</p>

opencc-by-4.0Oct 2022View details →
zenodo40/100

Spontaneous behaviour is structured by reinforcement without explicit reward

<p><strong>Spontaneous behaviour is structured by reinforcement without explicit reward</strong></p> <p>Repository containing datasets obtained for Markowitz, Gillis, Jay et al. 2023 Nature&nbsp;<a href="https://doi.org/10.1038/s41586-022-05611-2">https://doi.org/10.1038/s41586-022-05611-2</a></p> <p>Github link to related analysis code: <a href="https://github.com/dattalab/dopamine-reinforces-spontaneous-behavior">https://github.com/dattalab/dopamine-reinforces-spontaneous-behavior</a></p> <p><strong>Abstract</strong></p> <p>Spontaneous animal behaviour is built from action modules that are concatenated by the brain into sequences. However, the neural mechanisms that guide the composition of naturalistic, self-motivated behaviour remain unknown. Here we show that dopamine systematically fluctuates in the dorsolateral striatum (DLS) as mice spontaneously express sub-second behavioural modules, despite the absence of task structure, sensory cues or exogenous reward. Photometric recordings and calibrated closed-loop optogenetic manipulations during open field behaviour demonstrate that DLS dopamine fluctuations increase sequence variation over seconds, reinforce the use of associated behavioural modules over minutes, and modulate the vigour with which modules are expressed, without directly influencing movement initiation or moment-to-moment kinematics. Although the reinforcing effects of optogenetic DLS dopamine manipulations vary across behavioural modules and individual mice, these differences are well predicted by observed variation in the relationships between endogenous dopamine and module use. Consistent with the possibility that DLS dopamine fluctuations act as a teaching signal, mice build sequences during exploration as if to maximize dopamine. Together, these findings suggest a model in which the same circuits and computations that govern action choices in structured tasks have a key role in sculpting the content of unconstrained, high-dimensional, spontaneous behaviour.</p>

opencc-by-4.0Jan 2023View 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