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42 results for “behaviour systems”

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zenodo32/100

Modeling System Behaviour from Log Analysis Using Meta-Heuristic Search

<p>Dataset used to perform the experiments in our paper on <em>Modeling System Behaviour from Log Analysis Using Meta-Heuristic Search </em>(BSc. thesis, 2021).</p>

opencc-by-4.0Jun 2021View details →
zenodo32/100

Inferring Log-Based Behavioural System Models using Markov Chains

<p>The datasets we used for the bachelor thesis&nbsp;<em><strong>Inferring Log-Based Behavioural System Models using Markov Chains</strong></em>, consisting of log traces of the XRP Ledger Conensus Protocol&nbsp;split into 5&nbsp;different datasets.</p>

opencc-by-4.0Jun 2021View details →
zenodo32/100

FIGURE 24. Abs. terminalis Female reproductive system and bursa. A entire system with V8 in Studies on South-east Asian fireflies: Abscondita, a new genus with details of life history, flashing patterns and behaviour of Abs. chinensis (L.) and Abs. terminalis (Olivier) (Coleoptera: Lampyridae: Luciolinae)

FIGURE 24. Abs. terminalis Female reproductive system and bursa. A entire system with V8 intact, spermatophore digesting gland to top of figure. B detail bursa hooks. (Scale bar= 1mm). BU, bursa; SDG, spermatophore digesting gland; V, valvifer.

opennotspecifiedDec 2013View details →
dryad32/100

Data from: A high-resolution panorama camera system for monitoring colony-wide seabird nesting behaviour

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publicJan 2016View details →
dryad32/100

Data from: Invasion history alters the behavioural consequences of immune system activation in cane toads.

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publicJan 2019View details →
dryad32/100

Data from: The mating behaviour of the seed shrimp Parapolycope spiralis (Ostracoda: Cladocopina), with insight into the evolution of mating systems in cryptic interstitial habitats

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publicApr 2015View details →
dryad32/100

HARVEST : Harvest behaviour in common pool resource systems

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publicApr 2021View details →
dryad28/100

Data from: Human behaviours associated with dominance in elite bouts: a comparison of amateur boxing winners and losers under the Ten Point Must System

Humans commonly ascertain physical dominance through non-lethal fighting by participating in combat sports. However, the behaviours that achieve fight dominance are not fully understood. Amateur boxing competition, which is judged using the subjective "Ten Point Must-System", provides insight into fight dominance behaviours. Notational analysis was performed on 26 elite male competitors in a national boxing championship. Behavioural (guard-drop time; movement style [stepping/bouncing time]; clinch-time; interaction-time) and technical (total punches; punches landed [Hit]; air punches [%Air]; defence) measures were recorded. Participants reported effort required (0-100%) and perceived effect of fatigue on their own performance (5-point Likert scale) following bouts. Differences between winners and losers, and changes across the duration of the bout were examined. Winners punched more accurately than losers (greater %Hit [33% vs. 23%] and lower %Air [17% vs. 27%]) but total punches, defence and interaction-time were similar. From rounds 1-2, clinch-time and guard drops increased whilst bouncing decreased. Perceived effect of fatigue increased throughout the bout while perceived effort increased only from rounds 2-3. %Hit and movement index together in regression analysis correctly classified 85% of bout outcomes, indicating that judges (subjectively) chose winning (dominant) boxers according to punch accuracy and style, rather than assertiveness (more punches thrown). Boxers appear to use tactical strategies throughout the bout to pace their effort and minimise fatigue (increased guard drops, reduced bouncing), but these did not influence perceived dominance or bout outcome. These results show that judges use several performance indicators not including the total number of successful punches thrown to assess fight dominance and superiority between fighters. These results provide valuable information as to how experienced fight observers subjectively rate superiority and dominance during one-on-one human fighting.

opencc-zeroDec 2017View details →
dryad28/100

Data from: Fine-scale analysis of an assassin bug's behaviour: predatory strategies to bypass the sensory systems of prey

Some predators sidestep environments that render them conspicuous to the sensory systems of prey. However, these challenging environments are unavoidable for certain predators. Stenolemus giraffa is an assassin bug that feeds on web-building spiders; the web is the environment in which this predator finds its prey, but it also forms part of its preys' sophisticated sensory apparatus, blurring the distinction between environment and sensory systems. Stenolemus giraffa needs to break threads in the web that obstruct its path to the spiders, and such vibrations can alert the spiders. Using laser vibrometry, this study demonstrates how S. giraffa avoids alerting the spiders during its approach. When breaking threads, S. giraffa attenuates the vibrations produced by holding on to the loose ends of the broken thread and causing them to sag prior to release. In addition, S. giraffa releases the loose ends of a broken thread one at a time (after several seconds or minutes) and in this way spaces out the production of vibrations in time. Furthermore, S. giraffa was found to maximally reduce the amplitude of vibrations when breaking threads that are prone to produce louder vibrations. Finally, S. giraffa preferred to break threads in the presence of wind, suggesting that this araneophagic insect exploits environmental noise that temporarily impairs the spiders' ability to detect vibrations. The predatory behaviour of S. giraffa seems to be adaptated in intricate manner for bypassing the sophisticated sensory systems of web-building spiders. These findings illustrate how the physical characteristics of the environment, along with the sensory systems of prey can shape the predatory strategies of animals.

opencc-zeroDec 2015View details →
dryad28/100

Data from: The melanocortin system regulates body pigmentation and social behaviour in a colour polymorphic cichlid fish

The melanocortin system is a neuroendocrine system that regulates a range of physiological and behavioural processes. We examined the extent to which the melanocortin system simultaneously regulates colour and behaviour in the cichlid fish Astatotilapia burtoni. We found that yellow males are more aggressive than blue males, in line with previous studies. We then found that exogenous α-melanocyte-stimulating hormone (α-MSH) increases yellowness of the body and dispersal of xanthophore pigments in both morphs. However, α-MSH had a morph-specific effect on aggression, with only blue males showing an increase in the rate of aggression. Exogenous agouti signalling peptide (ASIP), a melanocortin antagonist, did not affect coloration but reduced the rate of aggression in both colour morphs. Blue males had higher cortisol levels than yellow males. Neural gene expression of melanocortin receptors (mcr) and ligands was not differentially regulated between colour morphs. In the skin, however, mc1r and pro-opiomelanocortin (pomc) β were upregulated in blue males, while asip 1 was upregulated in yellow males. The effects of α-MSH on behaviour and body coloration, combined with morph-specific regulation of the stress response and the melanocortin system, suggest that the melanocortin system contributes to the polymorphism in behaviour and coloration in A. burtoni.

opencc-zeroDec 2016View details →
dryad28/100

Data from: Causal reasoning in rats' behaviour systems

Conceiving of stimuli and responses as causes and effects, and assuming that rats acquire representational models of causal relations from Pavlovian procedures, previous work by Causal Model Theory proponents attempted to train rat subjects to represent Light as a cause of both Tone and food. By these assumptions, with formal help from Bayesian Networks, self-production of the Tone should reduce expectation of alternative causes, including Light, and their effects, including food. Reduced feeder-directed responding to the Tone when self-produced has been taken as evidence for a general causal reasoning capacity among rats involving mental maps of causal relations. Critics have rejoined that response competition can explain these effects. The present research replicates the key effect, but uses continuous and finer-grained measurement of a broader range of behaviours. Behaviours not recorded in previous studies contradict both prior explanations. Even results cited in support of these explanations, when measured in finer detail and continuously over longer periods, show patterns not expected by either view, but supportive of a specific-process approach with attention to motivational factors. Still, the abstract prediction from Bayesian Networks holds, providing a potentially complementary normative analysis. Behaviour systems theory provides firmer framing for such theories than representational-map alternatives.

opencc-zeroDec 2017View details →
zenodo28/100

Video of flocking behaviour. From "Multi Agent Systems with Virtual Stigmergies"

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opencc-by-4.0Nov 2024View details →
dryad28/100

Data from: Causal reasoning in rats' behaviour systems

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publicJun 2018View details →
dryad28/100

Data from: The melanocortin system regulates body pigmentation and social behaviour in a colour polymorphic cichlid fish

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publicSep 2017View details →
dryad28/100

Data from: Human behaviours associated with dominance in elite bouts: a comparison of amateur boxing winners and losers under the Ten Point Must System

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publicNov 2018View details →
dryad28/100

Data from: The unexpected genetic mating system of the red‐backed toadlet (Pseudophryne coriacea): a species with prolonged terrestrial breeding and cryptic reproductive behaviour

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publicMay 2018View details →
dryad28/100

Data from: The emergence and selection of reputation systems that drive cooperative behaviour

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publicAug 2018View details →
dryad28/100

Data from: Fine-scale analysis of an assassin bug's behaviour: predatory strategies to bypass the sensory systems of prey

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publicSep 2016View details →
ClinicalTrials.gov24/100

Treatment Results and Health Care Consumption From a Web-based Support System in Behavioural Childhood Obesity Treatment

ClinicalTrials.gov study NCT03566771. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

Cognitive Behavioural Analysis System of Psychotherapy (CBASp) Versus Escitalopram in Chronic Depression

ClinicalTrials.gov study NCT00837564. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View 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

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