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84 results for “personality traits”
The Functional Anatomy of Personality Trait Knowledge: An fMRI Study
ClinicalTrials.gov study NCT00095407. IPD Sharing: Not stated. Countries: 1. Publications: 3.
How Dentists' Personality Traits Affect Communication and Treatment Outcomes in TMD Patients
ClinicalTrials.gov study NCT07074366. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Data from: Genetic characterization of dog personality traits
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Data from: Data for: Variation in animal personality traits across a metal pollution gradient in a free-living songbird
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Links between personality traits and problem-solving performance in zebra finches (Taeniopygia guttata)
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Coded respondent survey data to analyze the impact of big five personality traits on student engagement consisting of their emotional and physical engagement
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Data from: Environmental heterogeneity and population differences in blue tits personality traits
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Micro-personality traits and their implications for behavioural and movement ecology research
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Personality traits and behaviour vary among invasive, native and hatchery-reared fish
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Data from: Does inbreeding affect personality traits?
The question of why variation is maintained in personality traits is an evolutionary puzzle. According to the condition-dependence hypothesis, such traits depend on condition, which limits the behavioural choices available to individuals. Because condition is affected by many genes, it can effectively be manipulated by inbreeding, which exposes the effects of deleterious recessive mutations. Here, I compared two personality traits, boldness and tendency to explore, of male guppies (Poecilia reticulata) from first-generation inbred and outbred treatments. Boldness in guppies is associated with increased sexual attractiveness, and is thus expected to affect fitness. Therefore, I hypothesised that the personality traits would be negatively affected by inbreeding. However, the results indicated that inbred guppies did not differ in either personality trait from their outbred counterparts. This finding suggests that mechanisms other than condition-dependence are maintaining personality variation in the guppy.
Pathways linking female personality with reproductive success are trait and year-specific
<p>Personality (i.e. among-individual variation in average behavior) often covaries with fitness, but how such personality-fitness relationships come about is poorly understood. Here, we explore potential mechanisms by which two female personality traits (female-female aggression and female nest defense as manifested by hissing behavior) were linked with annual reproductive success in a population of great tits (<i>Parus major</i>), a socially monogamous species with biparental care. We hypothesized that personality-related differences in reproductive success result from variation in reproductive decision (lay date, brood size) and/or parental provisioning rates. Relative support for these mechanisms was evaluated using path-analysis on data collected in two successive years. We reveal that larger broods were provisioned at a higher rate by both parents and that female, but not male, provisioning rate was involved in the trade-off between offspring number (brood size) and fledgling mass. Among-individual variation in female aggression, via its association with female provisioning rate, was negatively linked to fledgling mass (i.e. indirect effect), yet only in one of the study years. Male provisioning rate did not influence these relationships. In contrast, among-individual variation in hissing behavior was directly and negatively linked with fledgling mass in both years, via an underlying mechanism that remains to be identified (i.e. direct effect). Together, our findings emphasize that personality-fitness relationships may come about via different mechanisms across personality traits and/or years, thereby illustrating additional complexity in how selection might act on and maintain among-individual variation in behavioral phenotypes in the wild.</p>
Data from: Environmental transmission of a personality trait: foster parent exploration behaviour predicts offspring exploration behaviour in zebra finches
Consistent behavioural differences among individuals are common in many species and can have important effects on offspring fitness. To understand such 'personality' variation, it is important to determine the mode of inheritance, but this has been quantified for only a few species. Here, we report results from a breeding experiment in captive zebra finches, Taeniopygia guttata, in which we cross-fostered offspring to disentangle the importance of genetic and non-genetic transmission of behaviour. Genetic and foster-parents' exploratory type was measured in a novel environment pre-breeding and offspring exploratory type was assessed at adulthood. Offspring exploratory type was predicted by the exploratory behaviour of the foster but not the genetic parents, whereas offspring size was predicted by genetic but not foster-parents' size. Other aspects of the social environment, such as rearing regime (uni- versus biparental), hatching position, brood size or an individual's sex did not influence offspring exploration. Our results therefore indicate that non-genetic transmission of behaviour can play an important role in shaping animal personality variation.
Data from: Individual variation in the oxidative costs of personality traits
1.'Personality traits' are behavioural differences between individuals that are stable within individuals. Different combinations of personality traits can correlate with fitness variation but the mechanisms remain unclear. There is the suggestion that personality reflects variation in physiology. For example, 'fast' (bold, active, fast exploring) individuals are predicted to maintain a higher metabolic rate than 'slow' animals. A raised metabolic rate can result in a proliferation of reactive oxygen species (ROS) which, if unchecked, cause oxidative stress. Thus, the 'extended pace of life theory' predicts that 'fast' individuals will pay higher oxidative costs than 'slow' ones. Alternatively, stress hormones, which are often relatively high in 'slow' individuals, can also cause proliferation of ROS and subsequent oxidative damage. Here, we assessed co-variation between personality and oxidative profile in wild blue tits. 2.The personality traits neophobia (latency to approach food near novel objects), activity level in a novel environment and exploratory tendency (controlling for differences in activity) assayed in captivity were repeatable within individuals but were uncorrelated with each other. Reactive oxygen metabolites (ROMs an index of pro-oxidant status) and OXY (antioxidant capacity) were also uncorrelated with each other and did not vary with age or sex. Blood sampling birds within three minutes of capture from their familiar cage versus after 15 minutes of exposure to a standardised stressor did not affect ROMs or OXY. 3.Wintering blue tits that were both highly neophobic and exploratory had low OXY defences and individuals that showed low neophobia and low exploration had high OXY defences. Variation in ROMs was not explained by any personality trait. High exploratory tendency also correlated with a reduction in body condition in captivity, but body condition did not predict ROMs or OXY. Activity level in the exploration trial did not vary with oxidative profile or change in body condition. 4.Personality types differed in antioxidant defences, and it was the combination of an individual's personality traits that proved important. ROS production and antioxidant defences will vary due to many processes e.g. resource allocation, not just metabolic rate and stress responsiveness. Consequently, the costs of personality traits and thus the predictions regarding fitness are complex. This article is protected by copyright. All rights reserved.
Data from: Social cues affect quantitative genetic variation and covariation in animal personality traits
The social environment is expected to have substantial effects on behavior, and as a consequence its heritability and evolvability. We investigated these effects by exposing Australian field crickets (Teleogryllus oceanicus) to either silence or recordings of male acoustic sexual signals. We used a combined pedigree and full-sib/half-sib breeding design to estimate the repeatability, heritability, and evolvability of behaviors related to boldness, exploration, and activity. All behaviors measured were significantly repeatable in both social environments. Additionally, most behaviors showed significant heritabilities in the two environments. We found no difference in repeatabilities between the silent and the acoustic environment but did find significant differences in the heritabilities and evolvabilities between these environments. There was a high degree of similarity between the phenotypic covariance matrices across the two environments, while the genotypic covariance matrices were highly dissimilar. Reflecting this, we found significant genotype-by-environment interactions for most of the behaviors. Lastly, we found that the repeatable aspect of behavior ('personality') was significantly heritable for most behaviors, but that these heritabilities were higher in the acoustic than in the silent environment. We conclude that the social environment can have a significant impact on the heritability and evolvability of behavior, and argue that evolutionary inferences from phenotypic studies should be made with caution.
Personality traits adjusted for wild canids and re-grouped
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Big Five Personality Traits and Online Learning: A Meta-analysis of 40 Years' Research
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Data from: Long-term effects of early nutrition and environmental matching on developmental and personality traits in zebra finches
Developmental plasticity is a key feature of many organisms and individuals can benefit from early programming to optimize their phenotypes for the expected environmental conditions. However, environmental conditions may sometimes change unexpectedly. Mismatches between early and adult life, for example, can have important repercussions for adult phenotypes, potentially leading to better performance under matched than mismatched conditions as predicted by the predictive adaptive response hypothesis. We conducted a long-term experimental manipulation of dietary conditions in a population of zebra finches, Taeniopygia guttata. Broods were exposed to two early nutritional treatments until independence and we used a split-brood design to independently manipulate nutritional conditions after independence to create matched and mismatched nutritional environments in later life. Developmental trajectories of all individuals were followed for more than 5 years and we scored behavioural responses in trials in a special environment and while interacting with a special object three times during adult life. Overall, we found no evidence for early programming affecting morphology. Tarsus and wing length were exclusively influenced by the early nutrition. Body weight showed lasting effects of the early treatment and independent effects of nutritional condition during adulthood, but no effects of environmental matching or mismatching. Special-object trials showed effects of the adult nutritional treatment while environmental matching affected hopping activity in special environments. These behavioural responses showed substantial long-term individual stability over a 3-month period and were only marginally smaller when measured over a period of more than 4 years. Interestingly, survival of individuals from low-quality early nutritional condition was higher compared with high-quality early condition individuals, which became evident only after years of survival monitoring. Beyond the nutritional treatment itself, we found sizable brood identity effects that slowly but steadily declined with age, indicating a significant but decaying effect of natural variation in parental provisioning on adult phenotypes.
Prediction of Personality Traits using the Big 5 Framework
<p>The methodology is the core component of any research-related work. The methods used to gain the results are shown in the methodology. Here, the whole research implementation is done using python. There are different steps involved to get the entire research work done which is as follows:</p> <p><strong>1. Acquire Personality Dataset</strong></p> <p>The kaggle machine learning dataset is a collection of datasets, data generators which are used by machine learning community for analysis purpose. The personality prediction dataset is acquired from the kaggle website. This dataset was collected (2016-2018) through an interactive on-line personality test. The personality test was constructed from the IPIP. The personality prediction dataset can be downloaded in zip file format just by clicking on the link available. The personality prediction file consists of two subject CSV files (test.csv & train.csv). The test.csv file has 0 missing values, 7 attributes, and final label output. Also, the dataset has multivariate characteristics. Here, data-preprocessing is done for checking inconsistent behaviors or trends.</p> <p> </p> <p><strong>2. Data preprocessing</strong></p> <p>After, Data acquisition the next step is to clean and preprocess the data. The Dataset available has numerical type features. The target value is a five-level personality consisting of serious,lively,responsible,dependable & extraverted. The preprocessed dataset is further split into training and testing datasets. This is achieved by passing feature value, target value, test size to the train-test split method of the scikit-learn package. After splitting of data, the training data is sent to the following Logistic regression & SVM design is used for training the artificial neural networks then test data is used to predict the accuracy of the trained network model.</p> <p> </p> <p><strong>3. Feature Extraction</strong></p> <p>The following items were presented on one page and each was rated on a five point scale using radio buttons. The order on page was EXT1, AGR1, CSN1, EST1, OPN1, EXT2, etc. The scale was labeled 1=Disagree, 3=Neutral, 5=Agree</p> <p> </p> <pre><code> EXT1 I am the life of the party. EXT2 I don't talk a lot. EXT3 I feel comfortable around people. EXT4 I am quiet around strangers. EST1 I get stressed out easily. EST2 I get irritated easily. EST3 I worry about things. EST4 I change my mood a lot. AGR1 I have a soft heart. AGR2 I am interested in people. AGR3 I insult people. AGR4 I am not really interested in others. CSN1 I am always prepared. CSN2 I leave my belongings around. CSN3 I follow a schedule. CSN4 I make a mess of things. OPN1 I have a rich vocabulary. OPN2 I have difficulty understanding abstract ideas. OPN3 I do not have a good imagination. OPN4 I use difficult words.</code></pre> <p> </p> <p><strong>4. Training the Model</strong></p> <p>Train/Test is a method to measure the accuracy of your model. It is called Train/Test because you split the the data set into two sets: a training set and a testing set. 80% for training, and 20% for testing. You train the model using the training set.In this model we trained our dataset using linear_model.LogisticRegression() & svm.SVC() from sklearn Package</p> <p> </p> <p><strong>5. Personality Prediction Output</strong></p> <p>After the training of the designed neural network, the testing of Logistic Regression & SVM is performed using Cohen_kappa_score & Accuracy Score.</p>
Assessing the Influence of Personal Traits, Experiences, and Attitudes on the Perception and Evaluation of AI-generated Artworks
<p>data AI-image paper</p>
Trait Versus State: The Differential Impact of Personality Traits, Coping Behaviors and Cognitions on Depression and Anxiety
ClinicalTrials.gov study NCT04444505. IPD Sharing: Not stated. Countries: 0. Publications: 4.
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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.