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364 results for “activity behavior”
Active neural coordination of motor behaviors with internal states
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Data from: Pollination on the dark side: acoustic monitoring reveals impacts of a total solar eclipse on flight behavior and activity schedule of foraging bees
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Hippocampal Representation of Threat Features and Behavior in a Human Approach-Avoidance Conflict Anxiety Task: Unthresholded SPM Activation Maps
<p>This dataset includes group-level results from multifold parametric analyses of a high-resolution fMRI approach-avoidance conflict anxiety task (n = 19). SPM Results are divided in primary analyses using a 8 mm FWHM smoothing kernel, and secondary (localization) anaylses using a 4 mm FWHM kernel.</p> <p>Parametric modulators of BOLD activation were set up with serial orthogonalization in the following order: P1: TP, TM, TP x TM P2: A, TP, TM, A x TP, A x TM, TP x TM, A x TP x TM P3: Two separate analyses for approach and avoidance trials. Order of modulators as in P1.</p> <p>Abbreviations: TP = threat probability TM = threat magnitude A = action (approach / avoidance)</p> <p>The study is reported in the following reference: Abivardi A.*<em>, </em>Khemka S.*, Bach D.R. (2020) Hippocampal Representation of Threat Features and Behavior in a Human Approach-Avoidance Conflict Anxiety Task (accepted for publication in Journal of Neuroscience)</p> <p>Citation for this dataset: <a href="https://doi.org/10.5281/zenodo.3893443">https://doi.org/10.5281/zenodo.3893443</a>.</p>
Data from: Invasive shrubs modify rodent activity timing, revealing a behavioral rule governing diel activity
Animals adjust the timing of their activity to maximize benefits, such as access to resources, and minimize costs, such as exposure to predators. Despite many examples of invasive plants changing animal behavior, the potential for invasive plants to alter the timing of animal activity remains unexplored. In eastern North America, invasive shrubs might have particularly strong effects on animal activity timing during spring and fall, when many invasive shrubs retain their leaves long after native species' leaves senesce. We experimentally removed an invasive shrub (buckthorn, Rhamnus cathartica) and monitored the activity timing of a ubiquitous small-mammal species (white-footed mouse, Peromyscus leucopus) in spring, summer, and fall. We captured nearly three times as many P. leucopus in plots invaded by R. cathartica compared to plots with R. cathartica removed, and P. leucopus were captured two hours earlier in invaded plots. Regardless of invasion treatment, P. leucopus appear to follow a common rule to set activity timing: P. leucopus were only active below a threshold of ground-level moonlight illuminance (0.038 lux). Diel and monthly lunar cycles play an important role in regulating small-mammal activity, but our data suggest that decreased light penetration dampens the influence of moonlight illuminance in habitats invaded by R. cathartica, allowing P. leucopus to remain active throughout the night. By changing the temporal niche of ubiquitous native animals, invasive shrubs may have unappreciated effects on many ecological interactions, including processes that alter community diversity and affect human health.
Data from: Assessing the relationship between quality of life and behavioral activation using the Japanese behavioral activation for depression scale-short form
Quality of life (QOL) is an important health-related concept. Identifying factors that affect QOL can help develop and improve health-promotion interventions. Previous studies suggest that behavioral activation fosters subjective QOL, including well-being. However, the mechanism by which behavioral activation improves QOL is not clear. Considering that QOL improves when depressive symptoms improve post-treatment and that behavioral activation is an effective treatment for depression, it is possible that behavioral activation affects QOL indirectly rather than directly. To clarify the mechanism of the influence of behavioral activation on QOL, it is necessary to examine the relationships between factors related to behavioral activation, depressive symptoms, and QOL. Therefore, we attempted to examine the relationship between these factors. Participants comprised 221 Japanese undergraduate students who completed questionnaires on behavioral activation, QOL, and depressive symptoms: the Japanese versions of the Behavioral Activation for Depression Scale-Short Form (BADS-SF), WHO Quality of Life-BREF (WHOQOL-26), and Center for Epidemiologic Studies Depression Scale (CES-D). The BADS-SF comprises two subscales, Activation and Avoidance, and the WHOQOL-26 measures overall QOL and four domains, Physical Health, Psychological Health, Social Relationships, and Environment. Mediation analyses were conducted with BADS-SF activation and avoidance as independent variables, CES-D as a mediator variable, and each WHO-QOL as an outcome variable. Results indicated that depression completely mediated the relationship between Avoidance and QOL, and partially mediated the relationship between Activation and QOL. In addition, analyses of each domain of QOL showed that Activation positively affected all aspects of QOL directly and indirectly, but Avoidance had a negative influence on only part of QOL mainly through depression. The present study provides behavioral activation strategies aimed at QOL enhancement.
supplementary tables for physical activity and sedentary behavior on gut microbiota.
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BEHAVIOR - THEORETICAL STUDY OF BEHAVIOR AND ACTIVITY MOTIVATION.
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Figure 8 from: Ali H, Alqarni AS, Iqbal J, Owayss AA, Raweh HS, Smith BH (2019) Effect of season and behavioral activity on the hypopharyngeal glands of three honey bee Apis mellifera L. races under stressful climatic conditions of central Saudi Arabia. Journal of Hymenoptera Research 68: 85-101. https://doi.org/10.3897/jhr.68.29678
Figure 8 - Seasonal variations in lipofuscin accumulation between summer and winter bees of the same race. Asterisks (*) in the graph represent significant differences between the groups (LSD test at p ≤ 0.05).
Figure 7 from: Ali H, Alqarni AS, Iqbal J, Owayss AA, Raweh HS, Smith BH (2019) Effect of season and behavioral activity on the hypopharyngeal glands of three honey bee Apis mellifera L. races under stressful climatic conditions of central Saudi Arabia. Journal of Hymenoptera Research 68: 85-101. https://doi.org/10.3897/jhr.68.29678
Figure 7 - Inter-race comparison of lipofuscin accumulation A summer bees B winter bees. Graph bars headed by the same letter represent non-significant differences between the groups (LSD test at p ≤ 0.05).
Figure 6 from: Ali H, Alqarni AS, Iqbal J, Owayss AA, Raweh HS, Smith BH (2019) Effect of season and behavioral activity on the hypopharyngeal glands of three honey bee Apis mellifera L. races under stressful climatic conditions of central Saudi Arabia. Journal of Hymenoptera Research 68: 85-101. https://doi.org/10.3897/jhr.68.29678
Figure 6 - Comparisons between nurse and forager bees in the accumulation of lipofuscin in hypopharyngeal glands. A summer bees B winter bees. Asterisks (*) in the graph represent significant differences between the groups (LSD test at p ≤ 0.05).
Figure 5 from: Ali H, Alqarni AS, Iqbal J, Owayss AA, Raweh HS, Smith BH (2019) Effect of season and behavioral activity on the hypopharyngeal glands of three honey bee Apis mellifera L. races under stressful climatic conditions of central Saudi Arabia. Journal of Hymenoptera Research 68: 85-101. https://doi.org/10.3897/jhr.68.29678
Figure 5 - Lipofuscin accumulation (black granular structures: arrows) in the hypopharyngeal glands of nurse and forager bees A A. m. carnica nurse B A. m. carnica forager C A. m. jemenitica nurse D A. m. jemenitica forager E A. m. ligustica nurse F A. m. ligustica forager. (Images at 400× magnification).
Figure 4 from: Ali H, Alqarni AS, Iqbal J, Owayss AA, Raweh HS, Smith BH (2019) Effect of season and behavioral activity on the hypopharyngeal glands of three honey bee Apis mellifera L. races under stressful climatic conditions of central Saudi Arabia. Journal of Hymenoptera Research 68: 85-101. https://doi.org/10.3897/jhr.68.29678
Figure 4 - Inter-race comparison of acini size (length, width, and surface area) among the HPGs of A. mellifera A summer nurse B summer forager C winter nurse D winter forager. Graph bars headed by the same letter represent non-significant differences between the groups (LSD test at p ≤ 0.05).
Figure 3 from: Ali H, Alqarni AS, Iqbal J, Owayss AA, Raweh HS, Smith BH (2019) Effect of season and behavioral activity on the hypopharyngeal glands of three honey bee Apis mellifera L. races under stressful climatic conditions of central Saudi Arabia. Journal of Hymenoptera Research 68: 85-101. https://doi.org/10.3897/jhr.68.29678
Figure 3 - Acini sizes (length, width, and surface area) of nurse and forager bees. A A. m. jemenitica B A. m. carnica C A. m. ligustica . Nurse bees (summer & winter) had significantly larger acini than forager (summer & winter) bees in the three races. Asterisks (*) in the graphs represent the significant differences between the groups (LSD test at p ≤ 0.05).
Figure 2 from: Ali H, Alqarni AS, Iqbal J, Owayss AA, Raweh HS, Smith BH (2019) Effect of season and behavioral activity on the hypopharyngeal glands of three honey bee Apis mellifera L. races under stressful climatic conditions of central Saudi Arabia. Journal of Hymenoptera Research 68: 85-101. https://doi.org/10.3897/jhr.68.29678
Figure 2 - Acini in the hypopharyngeal glands of the nurse and forager bees. A A. m. carnica nurse B A. m. carnica forager C A. m. jemenitica nurse D A. m. jemenitica forager E A. m. ligustica nurse F A. m. ligustica forager. Scale bars: 6.2 mm (A), 4.2 mm (B), 7.6 mm (C), 7.9 mm (D), 9.8 mm (E), 5.6 mm (F). (Images at 20× magnification).
Figure 1 from: Ali H, Alqarni AS, Iqbal J, Owayss AA, Raweh HS, Smith BH (2019) Effect of season and behavioral activity on the hypopharyngeal glands of three honey bee Apis mellifera L. races under stressful climatic conditions of central Saudi Arabia. Journal of Hymenoptera Research 68: 85-101. https://doi.org/10.3897/jhr.68.29678
Figure 1 - Microscopic measurement of acini length and width in the hypopharyngeal glands of honey bees. L length W width (Image at 20× magnification).
Figures 2-7 from: Back JP, Suzin A, Aguiar LM (2019) Activity Budget and Social Behavior of Urban Capuchin Monkeys (Sapajus sp.) (Primates, Cebidae). Zoologia 36: 1-10. https://doi.org/10.3897/zoologia.36.e30845
Figures 2-7 Social webs expressing interactions (in percentage of the total observation records) for each sex-age dyad of urban capuchin monkeys in each social behavior: (2) social play, n = 1,476 events; (3) grooming, n = 547; (4) threat, n = 241; (5) aggression, n = 31; (6) allocarrying, n = 193; (7) food sharing, n = 39. Percentages of emissions and receptions are in decreasing order in all columns, except for social play. Line thickness is proportional to the percentages of interactions of each dyad. (AF) adult females, (JUV) juveniles, (AM) adult male, (SUB) subadults, (INF) infants.
Figure 1 from: Back JP, Suzin A, Aguiar LM (2019) Activity Budget and Social Behavior of Urban Capuchin Monkeys (Sapajus sp.) (Primates, Cebidae). Zoologia 36: 1-10. https://doi.org/10.3897/zoologia.36.e30845
Figure 1 Proportions of records (in percentage) of behavioral categories in the activity budget of sex-age classes of urban capuchin monkeys. Boxes represent the interquartile ranges; horizontal lines within the boxes represent the medians; whiskers indicate minimum and maximum values; circles indicate the proportions of records per hour of observation. Different letters indicate significant differences between sex-age classes. Kruskal-Wallis followed by Dunn's test; p ≤ 0.05. (AF) adult females, (AM) adult male, (SUB) subadults, (JUV) juveniles.
Figure 4 in Notes on the ecology, activity patterns and behavior of the kinkajou (Potos flavus)
Figure 4: Group composition of kinkajous at (A) Pijao and (B) San Juan.
Table ¹: List of fruit species consumed by kinkajous in Pijao and San Juan. in Notes on the ecology, activity patterns and behavior of the kinkajou (Potos flavus)
<p><b>Table ¹:</b> List of fruit species consumed by kinkajous in Pijao and San Juan.</p><table><tbody><tr><th><b>Family</b></th><th><b>Species</b></th><th><b>Locality</b></th></tr></tbody><tbody><tr><th></th><td></td><td><b>Pijao</b></td><td><b>San Įuan</b></td></tr><tr><th>Anacardiaceae</th><td><i>Spondias mombin</i></td><td><b>–</b></td><td>X</td></tr><tr><th>Araliaceae</th><td><i>Dendropanax macrophyllum</i></td><td>X</td><td><b>–</b></td></tr><tr><th>Moraceae</th><td><i>Ficus brevibracteata</i></td><td>X</td><td><b>–</b></td></tr><tr><th></th><td><i>Ficus dendrocida</i></td><td><b>–</b></td><td>X</td></tr><tr><th></th><td><i>Poulsenia armata</i></td><td>X</td><td><b>–</b></td></tr><tr><th>Sapotaceae</th><td><i>Pouteria baehniana</i></td><td><b>–</b></td><td>X</td></tr><tr><th>Ulmaceae</th><td><i>Ampelocera albertiae</i></td><td>X</td><td><b>–</b></td></tr><tr><th>Urticaceae</th><td><i>Cecropia telealba</i></td><td>X</td><td><b>–</b></td></tr><tr><th></th><td><i>Cecropia membanacea</i></td><td><b>–</b></td><td>X</td></tr></tbody></table>
Data from: Post-fledging behavioral ecology of migratory songbirds: How do fledgling activity rates vary across species?
<p>This datsaset contains data for a comparison of fledgling activity rates from 9 songbird species in east-central Illinois, USA, described in the paper: "Jones, TM, and MP Ward. 2021. Post-fledging behavioral ecology of migratory songbirds: how do fledgling activity rates vary across species?"; published in <em>Behavioral Ecology</em>. The dataset contains estimates of fledgling activity rates during the daytime, nighttime, and across the post-fledging period, which were compared to estimates of fledgling morphologies (e.g. mass, tarsus, wing development) and post-fledging survival. Analyses, which can be reproduced with this data, showed that overall rates of post-fledging activity differed by species, but species showed similarities in the development of activity rates across the period. All species exhibited a stead increase in activity rates with age and general patterns mirrored rates of post-fledging mortality, including the presence and absence of post-fledging bottlenecks within each species. Additionally, our findings suggest that fledgling wing development and brood size at fledging contribute to variatio in activity rates within and across species.</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.