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76 results for “behavioral state”
Data from: Resource levels and prey state influence antipredator behavior and the strength of nonconsumptive predator effects
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Data for behavioral state-dependent habitat selection analysis of translocated female greater sage-grouse, North Dakota 2018-2020
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Data from: On the scent of standing variation for speciation: behavioral evidence for native sympatric host races of Rhagoletic pomonella (Diptera: Tephritidae) in the southern United States
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Coyote behavioral state data and landcover files
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Active neural coordination of motor behaviors with internal states
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Data from: A dynamic state model of migratory behavior and physiology to assess the consequences of environmental variation and anthropogenic disturbance on marine vertebrates
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Caution is warranted when using animal space-use and movement to infer behavioral states
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Data from: Behavioral evidence for fruit odor discrimination and sympatric host races of Rhagoletis pomonella flies in the western United States
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Figure 1 from: Ferreguetti AC, de Oliveira ABM, Pereira BC, Santori RT, Geise L, Bergallo HG (2020) Encounter rate and behavior of Alouatta guariba clamitans in the Ilha Grande State Park, Rio de Janeiro state, Brazil. Zoologia 37: 1-10. https://doi.org/10.3897/zoologia.37.e36846
Figure 1 Map of the study area, showing the area covered by the Iha Grande State Park, in Ilha Grande, located in the southwest part of the Rio de Janeiro, Brazil. The black lines indicate the transects.
Figure 2 from: Ferreguetti AC, de Oliveira ABM, Pereira BC, Santori RT, Geise L, Bergallo HG (2020) Encounter rate and behavior of Alouatta guariba clamitans in the Ilha Grande State Park, Rio de Janeiro state, Brazil. Zoologia 37: 1-10. https://doi.org/10.3897/zoologia.37.e36846
Figure 2 Average observations of Alouatta guariba clamitans activity patterns from August 2009 to May 2010 in the Ilha Grande State Park, Rio de Janeiro, Brazil.
A neural circuit for flexible control of persistent behavioral states
<p>To adapt to their environments, animals must generate behaviors that are closely aligned to a rapidly changing sensory world. However, behavioral states such as foraging or courtship typically persist over long time scales. It remains unclear how neural circuits generate persistent behavioral states while maintaining flexibility to switch states when the context changes. Here, we elucidate the architecture of a circuit controlling the choice between roaming and dwelling foraging states in C. elegans. Through ensemble-level calcium imaging in freely-moving animals, we identify stable, circuit-wide activity patterns corresponding to each state. Mutual inhibition between two neuromodulatory systems underlies the persistence and mutual exclusivity of the opposing network states. We identify a sensory processing neuron that transmits information about food odors to both the roaming and dwelling circuits, biasing the animal towards different states in different contexts. These findings reveal a circuit architecture that enables flexible, sensory-driven control of persistent behavioral states.</p>
Figure 8 in Blood-feeding behavior of Anopheles species (Diptera: Culicidae) in the district of Ilha de Santana, state of Amapá, eastern Brazilian Amazon
Figure 8 Density of Anopheles species, parity rate, and number of malaria cases by month, during 24 months in the district of Ilha de Santana, municipality of Santana, state of Amapá. A and B) Anopheles albitarsis s.l.; C and D) Anopheles braziliensis; E and F) Anopheles darlingi; G and H) Anopheles nuneztovari s.l. The Spearman correlation between density and parity rate was significant for A. albitarsis s.l. (rs = 0.61; p = 0.03), A. braziliensis (rs = 0.80; p = 0.01), A. darlingi (rs = 0.72; p = 0.01) and A. nuneztovari s.l. (rs = 0.74; p = 0.01). Graph with standard deviation bars.
Figure 7 in Blood-feeding behavior of Anopheles species (Diptera: Culicidae) in the district of Ilha de Santana, state of Amapá, eastern Brazilian Amazon
Figure 7 Human biting rate (HBR) of the most abundant species captured in the 12-hour collections in the district of Ilha de Santana, municipality of Santana, state of Amapá. Graph with standard deviation bars.
Figure 3 in Blood-feeding behavior of Anopheles species (Diptera: Culicidae) in the district of Ilha de Santana, state of Amapá, eastern Brazilian Amazon
Figure 3 Species of Anopheles collected indoors (intradomiciliary) and outdoors (peridomiciliary) by collection time, during 24 months in the district of Ilha de Santana, municipality of Santana, state of Amapá. A) Anopheles albitarsis s.l.; B) Anopheles braziliensis; C) Anopheles darlingi; D) Anopheles nuneztovari s.l. Significant difference between indoor and outdoor environments was found for A. albitarsis s.l. and A. braziliensis (Student's t test [3] = -3.44; p = 0.01, Student's t test [3] = -2.49; p = 0.04; respectively). Graph with standard deviation bars.
Figure 2 in Blood-feeding behavior of Anopheles species (Diptera: Culicidae) in the district of Ilha de Santana, state of Amapá, eastern Brazilian Amazon
Figure 2 Species of Anopheles collected indoors (intradomiciliary) and outdoors (peridomiciliary) in four-hour collections, over 24 months in the district of Ilha de Santana, municipality of Santana, state of Amapá. A) Anopheles albitarsis s.l.; B) Anopheles braziliensis; C) Anopheles darlingi; D) Anopheles nuneztovari s.l. Significant difference was observed between the number of individuals collected indoors and outdoors only for A. albitarsis s.l. (Mann-Whitney U test = 31.5; z = -2.44; p = 0.01). Graph with standard deviation bars.
Live programming controlled experiment on state machines for robotic behaviors
<p>All the information about the controlled experiment performed on the Live Robot Programming language (LRP) vs SMACH (Python API), both for program comprehension and program writing</p> <ul> <li>Programs for both SMACH and LRP</li> <li>Introductory material for both SMACH and LRP</li> <li>Questionnaires</li> <li>Raw and processed data</li> </ul>
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.
A neural circuit for flexible control of persistent behavioral states
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Synaptic and Intrinsic Plasticity Mediated by CCK-type Signaling Coordinates Behavioral Changes During Motivational State Shifts
GEO Series GSE296741. Aplysia californica. 2 samples. Type: Expression profiling by high throughput sequencing.
Data and R-Code from: How to account for behavioral states in step-selection analysis: a model comparison
<p>This repository provides the R-code and data used for the simulation and case study of the research paper: "How to account for behavioral states in step-selection analysis: a model comparison".</p><p>The folder "<strong>Pohle_et_al_2023_BehavioralStates_iSSA_Data</strong>" contains the landscape rasters used for data generation in the simulation study, and the bank vole (<i>Myodes glareolus</i>) movement data used in the case study on bank vole interactions:</p><ul><li>landscape10.RData and landscape50.RData: Landscape rasters for the simulation study.</li><li>Vole_case_control.rds: Case-control bank vole data for the case study.</li><li>Info_replicates.rds: Information about bank vole indiviuals and corresponding replicates for the case study.</li><li>Codebook_case_study.xlsx: Codebook for the case study data sets.</li><li>Read_me.txt</li></ul><p>The folder "<strong>Pohle_et_al_2023_BehavioralStates_iSSA_RCode</strong>" contains the R-scripts for the simulation and case study:</p><ul><li>Functions.R: Functions to apply HMMs, TS-iSSAs, and HMM-iSSAs to movement data; used for the simulation and case study.</li><li>Simulation_study.R: R-Code to run the simulation study. Parallel computation is used.</li><li>Results_simulation_study.R: R-Code to create the result figures and tables for the simulation study.</li><li>Case_study.R: R-Code to run the bank vole interaction case study. Parallel computation is used.</li><li>Results_case_study.R: R-Code to create the result figures and tables for the case study.</li><li>Read_me.txt</li></ul><p>Besides the simulation and case study from the paper, the included functions (<i>Functions.R</i>) can generally be used to perform an HMM-iSSA analysis.</p><p>For the bank vole movement data without control locations, see: Schlägel, U.E. et al. (2019). Data from: Estimating interactions between individuals from concurrent animal movements [Dataset]. Dryad. <a href="https://doi.org/10.5061/dryad.rt535m8">https://doi.org/10.5061/dryad.rt535m8</a>.</p><p><strong>Acknowledgements</strong></p><p>We thank Sophie Eden, Angela Puschmann and Pauline Lange for help with the bank vole data collection and maintenance of the outdoor enclosures.</p><p> </p><p> </p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.