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145 results for “Behavioral variation”

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zenodo32/100

Supplementary material 1 from: Ney G, Schul J (2019) Epigenetic and genetic variation between two behaviorally isolated species of Neoconocephalus (Orthoptera: Tettigonioidea). Journal of Orthoptera Research 28(1): 11-19. https://doi.org/10.3897/jor.28.28888

: Explanation note: Table S1: Sample collection localities, locality coordinates, and number of each species sampled in each year (N.robustus / N.bivocatus).

opencc-zeroMay 2019View details →

dryad32/100

Brain size affects responsiveness in mating behavior to variation in predation pressure and sex-ratio

Despite ongoing advances in sexual selection theory, the evolution of mating decisions remains enigmatic. Cognitive processes often require simultaneous processing of multiple sources of information from environmental and social cues. However, little experimental data exist on how cognitive ability affects such fitness-associated aspects of behavior. Using advanced tracking techniques, we studied mating behaviors of guppies artificially selected for divergence in relative brain size, with known differences in cognitive ability, when predation threat and sex-ratio was varied. In females, we found a general increase in copulation behavior in when the sex-ratio was female biased, but only large-brained females responded with greater willingness to copulate under a low predation threat. In males, we found that small-brained individuals courted more intensively and displayed more aggressive behaviors than large-brained individuals. However, there were no differences in female response to males with different brain size. These results provide further evidence of a role for female brain size in optimal decision-making in a mating context. In addition, our results indicate that brain size may affect mating display skill in male guppies. We suggest that it is important to consider the association between brain size, cognitive ability and sexual behavior when studying how morphological and behavioral traits evolve in wild populations.

opencc-zeroDec 2018View details →

zenodo32/100

Mouse spontaneous behavior reflects individual variation rather than estrous state

Repository containing datasets obtained for Levy et al. 2023, available online here: https://doi.org/10.1016/j.cub.2023.02.035 Github link to related analysis code: <a href="https://github.com/dattalab/spontaneous-behavior-reflects-individuality-not-estrous">https://github.com/dattalab/spontaneous-behavior-reflects-individuality-not-estrous</a> Abstract Behavior is shaped by both the internal state of an animal and its individual behavioral biases. Rhythmic variation in gonadal hormones during the estrous cycle is a defining feature of female internal state, one that regulates many aspects of sociosexual behavior. However, it remains unclear whether estrous state influences spontaneous behavior, and if so how these effects might relate to individual behavioral variation. Here we address this question by longitudinally characterizing the open field behavior of female mice across different phases of the estrous cycle, using unsupervised machine learning to decompose spontaneous behavior into its constituent elements1-4. We find that each female mouse exhibits a characteristic pattern of exploration that uniquely identifies it as an individual across many experimental sessions; in contrast, estrous state only negligibly impacts behavior, despite its known effects on neural circuits that regulate action selection and movement. Like female mice, male mice exhibit individual specific patterns of behavior in the open field; however, the exploratory behavior of males is significantly more variable than that expressed by females both within and across individuals. These findings suggest an underlying functional stability to the circuits that support exploration in female mice, reveal a surprising degree of specificity in individual behavior, and provide empirical support for the inclusion of both sexes in experiments querying spontaneous behaviors. Behavioral DataFrames: holds the behavioral syllable data used for the analysis described in the manuscript: <ul> <li>mean_df_female / scalar_df_female - main female dataset</li> <li>mean_df_male / scalar_df_male - main male dataset</li> <li>mean_df_female_control / mean_df_male_control  - datasets for male/female control experiment presented in Fig S3.</li> </ul> Model files: Additional MoSeq model files used for generating FigS2A and FigS2H.

opencc-by-3.0-usMar 2023View details →

zenodo32/100

FIG. 4 in Daily and seasonal variation in non-acoustic communicative behaviors of male greater short-nosed fruit bats (Cynopterus sphinx)

FIG. 4. Seasonal variation in duration and frequency of A — scent marking, B — wing flapping and C — open wing gesture behaviors. Mean ± SEM of frequency and duration varying between observed months (from January to December 2012). Mean ± SEM of number of attempts and duration was calculated from seven observation sessions for each month

opennotspecifiedMay 2016View details →

zenodo32/100

FIG. 2 in Daily and seasonal variation in non-acoustic communicative behaviors of male greater short-nosed fruit bats (Cynopterus sphinx)

FIG. 2. Inter-individual variation in the mean frequency of A — scent marking, B — wing flapping and C — open wing gesture behavior between mating and non-mating seasons. Data shown as the mean of number of attempts (± SEM) made by focal bats between two mating and two non mating seasons. Each data point represents individual focal bat (Animal ID — A to F)

opennotspecifiedMay 2016View details →

zenodo32/100

FIG. 3 in Daily and seasonal variation in non-acoustic communicative behaviors of male greater short-nosed fruit bats (Cynopterus sphinx)

FIG. 3. Daily variation in duration and frequency of A — scent marking, B — wing flapping and C — open wing gesture behaviors. Mean ± SEM of frequency and duration between observation sessions (one hour time interval). Mean ± SEM number of attempts and duration of each attempt were calculated for each observation session across 12 months (between January and December 2012) for all focal bats

opennotspecifiedMay 2016View details →

zenodo32/100

FIG. 1 in Daily and seasonal variation in non-acoustic communicative behaviors of male greater short-nosed fruit bats (Cynopterus sphinx)

FIG. 1. Non-acoustic communicative displays of male C. sphinx. A — male bat scent marking the interior of palm leaves with its saliva during night time. Circled areas in the picture shows scent marked part of the leaf. B — Tagged male bat co-roosting with females (untagged) in the day roost and displaying open wing gesture during morning hours in the mating season

opennotspecifiedMay 2016View details →

zenodo32/100

Along-strike structural variation controls slip behaviors across the neighboring segments of the Aleutian-Alaska subduction zone

Rupture behaviors of a subduction megathrust defines its slip type, extent and associated tsunami hazard, but are challenging to be known precisely due to limited fault-zone observations. Here, we integrate GNSS, tsunami-waveforms, seismic-profiles, and earthquake-cycle modeling to delineate slip extent of the 2020 Mw 7.8 Simeonof (Shumagin) and the 2021 Mw 8.2 Chignik (Semidi) earthquake sequence, and to understand the possible mechanical control on the distinct rupture behaviors of the neighboring Shumagin-Semidi segments along the Aleutian-Alaska subduction zone. We reveal a compelling fact that both the Simeonof and Chignik earthquakes slip at depth between ~20 to 40 km on the megathrust, a depth range typically observed at these segments in seismic cycles. We observe a contradictory slip behavior and disentangle why the Semidi segment ruptures in multi-variable style of large earthquakes, while the Shumagin segment ruptures with uniformly small to moderate seismicity, by illuminating the sharp variation in morphology across them. We identify a mechanical-structure boundary beneath the Shumagin Island where it separates the megathrust into gentle-smooth less-serpentinized east portion and steep-rough highly-serpentinized west portion. We also enlighten an intriguing fact that the upper slip bounds of the Simeonof-Chignik earthquakes corresponding to the deep boundary of the subducted seafloor ridges at the shallow megathrust, which likely arrested the slip propagating across this boundary to shallower depths as it did for the 1938 Mw 8.2 event. We highlight that the along-strike structure variation at depths and shallow trench control rupture styles, resulting in low to moderate tsunami hazard at this region.

opencc-by-4.0Mar 2023View details →

ClinicalTrials.gov32/100

Examining Variation in the Impact of School-Wide Positive Behavioral Interventions and Supports (PBIS)

ClinicalTrials.gov study NCT01583127. IPD Sharing: Not stated. Countries: 1. Publications: 5.

restrictedIPD-UNDECIDEDFeb 2026View details →

dryad32/100