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Figure 1 in The effect of photobleaching on bee (Hymenoptera: Apoidea) setae color and its implications for studying aging and behavior
Figure 1. Unstandardized color photographs of the dorsal view of a worker of Bombus huntii Greene. The square box demarcates the lateral distal region of terga 2 and 3 where setal color was sampled for the 'before' and 'after' comparisons in the control and sun-exposed treatments.
Figure 2 in The effect of photobleaching on bee (Hymenoptera: Apoidea) setae color and its implications for studying aging and behavior
Figure 2. Data distributions of 'before' and 'after' measurements of setal color on the lateral distal region of the terga 2 and 3 for the control and sun-exposed treatments. Setal color was measured using the color property hue (H). Letters above each boxplot correspond to a significant difference between treatments of at least 0.05 based on Tukey's adjusted multiple comparison tests.
Figure 3 in The effect of photobleaching on bee (Hymenoptera: Apoidea) setae color and its implications for studying aging and behavior
Figure 3. Correlation (τ) between wing wear (W) and setal color (hue, H) of three bee species: Bombus huntii Greene, Melecta pacifica fulvida Cresson, and Osmia integra Cresson. Larger H values represent increased photobleaching of setae, whereas smaller values of H represent less photobleaching of setae. Larger W represents increased wing wear, whereas smaller W represents decreased wing wear.
Behavioral response of Aromia bungii adults to volatile compounds emitted by Prunus persica at different physiological status
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Fig. 1 in Defensive warning behavior expressed by three species of polistine wasps
Fig. 1. Diagram of foraging area, nest yard, and sting threshold point. Foraging territory is the area surrounding the nest in which colony workers scout for and obtain their prey, paper, and other resources. Outside the nest yard, they remain non-defensive unless they are subjected to personal threat. The nest yard includes the area around the nest but outside of the sting threshold point in which warning behaviors are expressed. An intruder who approaches the nest in the area within the sting threshold point is likely to experience stinging behavior.
Fig. 2 in Defensive warning behavior expressed by three species of polistine wasps
Fig. 2. Flow chart of defensive behavior expressed by polistine wasp workers toward vertebrate intrusion, as determined in this research and other investigations (Hermann 2017; Hermann & Dirks 1974). As initial lines of defense, aposematic coloration and pattern, along with nest location, offer some degree of colony protection. Once an intruder enters the nest yard, warning expressions are displayed by workers. Size of the nest yard and the stinging threshold point generally are species specific. Following the initial pretarsal twitching and the more obvious antennal raising and wing spreading, a wide array of defensive expressions ensue, terminating in stinging flights. There also are some interspecific differences in the display of certain warning expressions, as discussed in the text.
Data and Analysis Scripts for "Drift in Individual Behavioral Phenotype as a Strategy for Unpredictable Worlds"
<p>This document contains the raw data and analysis scripts for the paper "Drift in Individual Behavioral Phenotype as a Strategy for Unpredictable Worlds", including <em>Drosophila melanogaster</em> circling and handedness behavior at multiple timepoints and across genotypes and experimental conditions manipulating serotonin. It also contains code used to run ecological simulations in the paper and the results of those simulations, as well as code to generate figures for the paper.</p>
Fig. 5 in Approaches for assessing the impact of Zea mays (Poaceae) on the behavior of Spodoptera frugiperda (Lepidoptera: Noctuidae) and its parasitoid Cotesia marginiventris (Hymenoptera: Braconidae)
Fig. 5. Spodoptera frugiperda moths prefer to oviposit on uninfested Zea mays plants. To test the effect of prior infestation with S. frugiperda (FAW) compared to a non-treated (NT) control plant on S. frugiperda oviposition preference, a pair-wise oviposition assay was performed using 3 independent experiments (Experiments 1–3). In each experiment, 6 uninfested plants and 6 infested plant treatments were used, and egg masses on each plant counted (Table). The total number of egg masses on each treatment was determined and from these data the percent total oviposition (%NT and %infested plant) calculated. The graph shows the mean (± SE) percent parasitism for each treatment,and the treatments were statistically significantly different using a pair-wise t-test: P ≤ 0.05; n = 3.
Fig. 6. Cotesia marginiventris wasps have a in Approaches for assessing the impact of Zea mays (Poaceae) on the behavior of Spodoptera frugiperda (Lepidoptera: Noctuidae) and its parasitoid Cotesia marginiventris (Hymenoptera: Braconidae)
Fig. 6. Cotesia marginiventris wasps have a marginal preference to oviposit on Spodoptera frugiperda on W22 compared to B104 Zea mays inbred plants. To test the effect of different Z. mays varieties on oviposition preference of C. marginiventris, a pair-wise oviposition assay was performed using 13 independent experiments (Experiments 1–13). In each experiment, the number of S. frugiperda larvae recovered from B104 or W22 genotypes that were parasitized by C. marginiventris (P), not-parasitized (NP), or had died shortly afer collection (D), and the percentage of larvae parasitized was calculated by (P/[P + NP]) × 100 for each plant variety (Table). Experiments that had less than 5 parasitized larvae or more than 15 dead (bold) were discarded. The graph shows mean (± SE) percentage parasitism for each treatment. The treatments were not significantly different using a pair-wise t-test with P ≤ 0.05 and n = 8.
Fig. 3 in Approaches for assessing the impact of Zea mays (Poaceae) on the behavior of Spodoptera frugiperda (Lepidoptera: Noctuidae) and its parasitoid Cotesia marginiventris (Hymenoptera: Braconidae)
Fig. 3. Stages of Cotesia marginiventris development. Representative images of C. marginiventris adult (A), larva emerging from S. frugiperda host (B) and pupae (C) are shown. Size bars are 20 µm.
Fig. 4 in Approaches for assessing the impact of Zea mays (Poaceae) on the behavior of Spodoptera frugiperda (Lepidoptera: Noctuidae) and its parasitoid Cotesia marginiventris (Hymenoptera: Braconidae)
Fig. 4. Larval growth assays of Spodoptera frugiperda. Two independent larval growth assays for S. frugiperda on the Zea mays inbred line B104. Graph shows mean larval weights (± SE) from 3 to 7 d afer infestation, n = (35–100). Because these growth assays were done at different times, they were not statistically compared.
Fig. 2 in Approaches for assessing the impact of Zea mays (Poaceae) on the behavior of Spodoptera frugiperda (Lepidoptera: Noctuidae) and its parasitoid Cotesia marginiventris (Hymenoptera: Braconidae)
Fig. 2. Spodoptera frugiperda developmental stages. Line drawing of differences between male and female S. frugiperda pupae (A). Representative images of S. frugiperda larva (B), pupae (C), adults (D), and egg masses (E).
Fig. 1 in Reproduction and spawning behavior in the frog, Engystomops pustulatus (Shreve 1941)
Fig. 1. Size and fecundity rates for amplectant pairs of Engystomops pustulatus. After collected in amplexus in the field, pairs were left in plastic containers where they could spawn. (A) Proportion of unfertilized eggs among pairs that successfully built a nest, (B) Female vs. male snout-vent length (SVL) with linear regression and 95% confidence intervals (dashed lines).
Fig. 5 in Reproduction and spawning behavior in the frog, Engystomops pustulatus (Shreve 1941)
Fig. 5. Relationship (in log space) for body and testis mass among 11 species of Leptodactylinae frogs. Except for Engystomops pustulatus, data is from Prado and Haddad (2003). Open circles indicate species on which multimale spawning has been reported. Note that E. pustulatus, in which multi-male spawning apparently occurs, also has larger testis than other Leptodactylinae.
Fig. 2 in Reproduction and spawning behavior in the frog, Engystomops pustulatus (Shreve 1941)
Fig. 2. Bivariate plots for (A) nest volume vs. number of eggs, (B) females size vs. nest volume, and (C) male size vs. number of eggs in Engystomops pustulatus. Linear regressions with 95% confidence intervals (dashed lines), determination coefficients (R2), and ANOVA's P values are shown.
Fig. 4 in Reproduction and spawning behavior in the frog, Engystomops pustulatus (Shreve 1941)
Fig. 4. Engystomops pustulatus nesting couple (QCAZ 26671– 72) and β-male (QCAZ 26673). The couple builds the foam nest as the male kicks the egg masses extruded by the female. Frame from video (infra-red recording). See text for details.
Fig. 3 in Reproduction and spawning behavior in the frog, Engystomops pustulatus (Shreve 1941)
Fig. 3. Spawning of Engystomops pustulatus nesting couple (QCAZ 26671–72) and β-male (QCAZ 26673). Above: duration of kicking bursts. Below: number of bursts per minute; asterisks indicate β-male movements in the foam. Measurements are shown in sequence from the beginning of the observation until the couple left the nest. See text for details.
GENEActiv accelerometer files collected during the project entitled "Cultures et comportements alimentaires de la jeunesse dans les pays francophones du Pacifique au XXIème siècle: exemple de la Nouvelle-Calédonie" [Eng: "Eating cultures and behaviors of young people in French-speaking Pacific countries in the 21st century: the example of New Caledonia"] (anonymized version - first part)
<p><a title="GENEActiv" href="https://activinsights.com/technology/geneactiv/" target="_blank" rel="noopener">GENEActiv</a> accelerometer .csv files converted with a 1 second epoch from raw GENEActiv .bin files recorded during the project entitled "<strong>Cultures et comportements alimentaires de la jeunesse dans les pays francophones du Pacifique au XXIème siècle: exemple de la Nouvelle-Calédonie</strong>" [en: "<strong>Eating cultures and behaviors of young people in French-speaking Pacific countries in the 21st century: the example of New Caledonia</strong>"]. Devices are 60-Hz triaxial accelerometers.</p> <p>This dataset also contains <strong>participantCharacteristics.csv</strong> that povides basic information about participants and <strong>read_a_binFile_share.R</strong> that is a short R code aiming at converting and saving accelerometer data from .bin files in 1 second epoch .csv files (consider the Methods section).</p> <p>Participant characteristics: 10 to 16 years old students and some parents.</p> <p>Number of participants: 231 (206 adolescents + 25 adults).</p> <p>Year of the study: 2018 - 2019.</p> <p>Place of the study: New Caledonia.</p> <p>The accelerometer .csv files with a 1 second epoch and extracted from raw .bin files are available in open datasets:</p> <ul> <li><a title="Open dataset - first part" href="https://doi.org/10.5281/zenodo.12615468" target="_blank" rel="noopener">anonymized version - first part</a></li> <li><a title="Open dataset - second part" href="https://doi.org/10.5281/zenodo.12638746" target="_blank" rel="noopener">anonymized version - second part</a></li> <li><a title="Open dataset - third part" href="https://doi.org/10.5281/zenodo.12682660" target="_blank" rel="noopener">anonymized version - third part</a></li> </ul> <p>The accelerometer raw .bin files are available in <strong>restricted datasets</strong>:</p> <ul> <li><a title="Restricted dataset - first part" href="https://doi.org/10.5281/zenodo.11594645" target="_blank" rel="noopener">non-anonymized version - first part</a></li> <li><a title="Restricted dataset - second part" href="https://doi.org/10.5281/zenodo.12638965" target="_blank" rel="noopener">non-anonymized version - second part</a></li> <li><a title="Restricted dataset - third part" href="https://doi.org/10.5281/zenodo.12661429" target="_blank" rel="noopener">non-anonymized version - third part</a></li> </ul> <p>Other participant characteristics (age, place of living, cultural community and socio-economic status) are available in a <a title="Information associated with GENEActiv accelerometer files collected during the project entitled "Cultures et comportements alimentaires de la jeunesse dans les pays francophones du Pacifique au XXIème siècle: exemple de la Nouvelle-Calédonie" [en: "Eating cultures and behaviors of young people in French-speaking Pacific countries in the 21st century: the example of New Caledonia"] (non-anonymized information version)" href="https://doi.org/10.5281/zenodo.12195186" target="_blank" rel="noopener">restricted non-anonymized dataset</a>.</p> <p>When using this dataset, please cite the following reference:<br><a title="Wattelez et al. 2025" href="https://doi.org/10.1016/j.dib.2024.111228" target="_blank" rel="noopener">G. Wattelez, S. Frayon, O. Galy, Assessing physical activity/behavior of adolescents living in the Pacific with accelerometer data: 231 GENEActiv records in New Caledonia, Data in Brief 58 (2025) 111228, doi: 10.1016/j.dib.2024.111228</a></p>
Data from: Insight into layer formation during friction surfacing: Relationship between deposition behavior and microstructure
<p>This dataset contains the data for the publication "Insight into layer formation during friction surfacing: Relationship between deposition behavior and microstructure".</p>
Accompanying dataset for the paper "An explicit dynamics framework suited to highly non-smooth interface behaviors"
<h2>Contributions</h2> <ul> <li>Author #1 carried out most of the study, performed numerical simulations, and drafted the manuscript</li> <li>Author #2 helped with implementation and numerical issues</li> <li>All authors developed the methodology, conceived the study, and participated in its design, coordination, and critical review of the manuscript. All authors read and approved the final manuscript.</li> </ul> <h2>Funding sources</h2> <ul> <li>We gratefully acknowledge the French National Association for Research and Technology (ANRT, CIFRE grant number 2021/0957).</li> <li>This work was supported by the "Manufacture Française de Pneumatiques Michelin"</li> </ul> <h2>Data structure and information</h2> <ul> <li><code>data</code> -- folder for raw data<ul> <li><code>Peeling3Dv7.dgibi</code> -- <a href="https://www-cast3m.cea.fr">CAST3M</a> input file to produce the mesh (Gibiane language)</li> <li><code>Peeling3Dv7.inp</code> -- input FE data file (ASCII AVS UCD format)</li> <li><code>Peeling3Dv7.m</code> -- main matlab/Octave source file uses the open-source library matlabEF for reading input data and producing the FE required operators, which is available at <a href="https://github.com/dureisse/matlabEF.git">https://github.com/dureisse/matlabEF.git</a> and <a href="https://hal.science/hal-04647638">https://hal.science/hal-04647638</a>.</li> </ul> </li> <li><code>workflows</code><ul> <li><code>install.sh</code> -- script to reinstall the dependencies</li> <li><code>reproduce.sh</code> -- script for re-running the study</li> </ul> </li> </ul> <h2>Paper Description</h2> <p>Dynamic systems, and in particular mechanical structures, may be subjected to non-smooth loadings such as impacts or shocks. Moreover, their behavior itself may exhibit more or less non-smooth evolutions, as when fracture occurs. Therefore, robust simulation models are of interest to capture such behaviors. A particular focus is made herein on time-stepping explicit dynamics schemes to allow efficient simulations, and non-smoothness is embedded within the discrete resolution model, so that robust simulations can be obtained, with a minimum number of numerical parameters. The original contributions of this article lie in the way the non-smooth behavior is formulated to be embedded in an explicit dynamics framework. This study focuses on the solver for dynamics with non-smooth interface behavior, rather than on the behavior models themselves. The applications concern non-smooth interface behaviors at macroscopic scale, between displacement jump on the 2D interface surface with no thickness, and interfacial force distributions acting on the bodies apart the interface. The proposed test cases which can serve as benchmarks for simulation codes, concern in a first step contact and perfectly plastic interface behavior (for illustrative purpose, on a 0D example). The last numerical test deals with contact, friction, fracture and adhesion for an extrinsic perfectly brittle interface behavior, to exemplify the feasibility on a full 3D finite element model.</p>
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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.