Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
76
datasets available to search
ShareScore release 0.9.0
Dataset results
76 results for “behavioral state”
Data set for "Cortical sensory processing across motivational states during goal-directed behavior"
<p>Data set for: Matteucci G, Guyoton M, Mayrhofer JM, Auffret M, Foustoukos G, Petersen CCH, El-Boustani S, Cortical sensory processing across motivational states during goal-directed behavior (2022).</p> <p>Neuron https://doi.org/10.1016/j.neuron.2022.09.032</p> <p>There are 2 files in this upload:</p> <p>1. The file named "Matteucci2022.pdf" is the Open Access pdf file of the manuscript published in Neuron.</p> <p>2. The file named "Matteucci_data_code.zip" (~26.5 GB) is a zipped version of a folder "Matteucci_data_code" (~33 GB), which contains the data analysed in the study along with Matlab code used to generate all main figures of the paper. The analysis code is in a subfolder named "code". This subfolder in turn has three subfolders "analysis_scripts", “analysis_functions” (containing the original code for intermediate data processing) and “paper_figures_scripts” (containing the code for generating each figure panel from pre-processed data). The main script “reproduce_figures.m” will call the subscripts contained in the “paper_figures_scripts” folder to reproduce the plots contained in all main figures of the paper (and take care of adding the relevant code and data folders and subfolders to Matlab file path). The raw and pre-processed data analysed in the study can be found in the folder named "data". A “README.txt” file provides further details on the content of each subfolder.</p>
Mechanical behavior and microstructure evolution of extruded AZ31 bar under combined stress states
<p>the raw data of mechanical behavior and pole figures of extruded AZ31 bar under combined stress states</p>
Figure 6 in Blood-feeding behavior of Anopheles species (Diptera: Culicidae) in the district of Ilha de Santana, state of Amapá, eastern Brazilian Amazon
Figure 6 Absolute frequency by time of the main species of Anopheles captured in collections to evaluate anthropophilic and zoophilic behavior 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 the number of anthropophilic and zoophilic individuals was observed only for A. albitarsis s.l. (Student's t test [3] = -2.67; p = 0.03). Graph with standard deviation bars.
Figure 5 in Blood-feeding behavior of Anopheles species (Diptera: Culicidae) in the district of Ilha de Santana, state of Amapá, eastern Brazilian Amazon
Figure 5 Species of Anopheles captured in collections to evaluate anthropophilic and zoophilic behavior during 24 months in the district of Ilha de Santana, municipality of Santana, state of Amapá. Graph with standard deviation bars.
Figure 4 in Blood-feeding behavior of Anopheles species (Diptera: Culicidae) in the district of Ilha de Santana, state of Amapá, eastern Brazilian Amazon
Figure 4 Species of Anopheles captured in collections to evaluate anthropophilic and zoophilic behavior by month, 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. Graph with standard deviation bars.
Figure 1 in Blood-feeding behavior of Anopheles species (Diptera: Culicidae) in the district of Ilha de Santana, state of Amapá, eastern Brazilian Amazon
Figure 1 Map indicating the location of the district of Ilha de Santana, state of Amapá, Brazil. In right corner is the smaller map of Brazil showing the localization of the State of Amapá (in red); Below map of the State of Amapá showing the study area (red circle). Satellite image of the district of Ilha de Santana with the 52 collection sites indicated according to the three collection categories (For interpretation of the references to color in this figure legend).
EEG/LFP/EMG data from freely-behaving rats across the sleep/wake cycle (includes manual identification of behavioral state in 4s epochs)
<p>Open-access data set that contains raw EEG/LFP/EMG data recorded from freely-behaving rats. 40 complete 24-hr recordings across 10 male, Sprague Dawley rats are included. Additionally, manual behavioral state classification is provided for all recordings in 4s epochs. These data form the testing and training set for a recently accepted article (Ellen J.G. and Dash, M.B. <em>An automated neural network for automated behavioral state classification rats</em>, peerJ (<em>in press)</em>) which details an open-source artificial neural network for automated classification of behavioral state. R-code for the automated classifier and detailed instructions for its implementation are freely available at: <a href="https://github.com/jellen44/AutomaticSleepScoringTool"><em> https://github.com/jellen44/AutomaticSleepScoringTool</em></a></p> <p>For additional details about the data set, please see the uploaded readme file.</p> <p> </p>
Cortex-wide neural dynamics predict behavioral states and provide a neural basis for resting-state dynamic functional connectivity
<p><strong>GENERAL INFORMATION</strong></p> <p>This data is described in the following publication: </p> <p><strong>Cortex-wide neural dynamics predict behavioral states and provide a neural basis for resting-state dynamic functional connectivity</strong>, Somayeh Shahsavarani<sup>1,2,5</sup>, David N. Thibodeaux<sup>1,5</sup>, Weihao Xu<sup>1</sup>, Sharon H. Kim<sup>1</sup>, Fatema Lodgher<sup>1</sup>, Chinwendu Nwokeabia<sup>1</sup>, Morgan Cambareri<sup>1</sup>, Alexis J. Yagielski<sup>1</sup>, Hanzhi T. Zhao<sup>1</sup>, Daniel A. Handwerker<sup>2</sup>, Javier Gonzalez-Castillo<sup>2</sup>, Peter A. Bandettini<sup>2,3</sup>, Elizabeth M. C. Hillman<sup>1,4,6,*</sup> Cell Reports (2023): <a href="https://doi.org/10.1016/j.celrep.2023.112527">https://doi.org/10.1016/j.celrep.2023.112527</a></p> <p><br> 1. Mortimer B. Zuckerman Mind Brain Behavior Institute and Department of Biomedical Engineering, Columbia University, New York, NY, USA<br> 2. Section on Functional Imaging Methods, Laboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA<br> 3. Functional MRI Core Facility, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA<br> 4. Department of Radiology, Columbia University Irving Medical Center, New York, NY, USA<br> 5. These authors contributed equally<br> 6. Lead contact<br> *Correspondence: elizabeth.hillman@columbia.edu</p> <p>Preprocessing and analysis code that generated / can be used with this data is posted at: <br> GitHub: <a href="https://doi.org/10.5281/zenodo.7860561">https://doi.org/10.5281/zenodo.7860561</a></p> <p><strong>DATA OVERVIEW </strong></p> <p>This dataset comprises simultaneous neuronal and hemodynamic data collected using wide-field optical mapping (WFOM) techniques. The data were obtained from head-fixed mice that were allowed to behave spontaneously without any external stimulation. For more detail, please refer to the Readme file.</p>
Figures 1–8 in Breeding behavior of the Helmeted Manakin Antilophia galeata (Passeriformes: Pipridae) in a gallery forest from São Paulo state, Brazil
Figures 1–8. Egg color patterns, hatchlings and nestlings of the Helmeted Manakin, Antilophia galeata, in different developmental stages observed in a gallery forest from southeastern Brazil: (1) eggs with light background color and streaks distributed throughout their surfaces; (2) eggs with pale beige background and blotches; (3) eggs with reddish-brown blotches and scratches forming a crown; (4) hatchlings; (5) three days old nestlings evidencing the bright-yellow mouth lining; (6) seven days old nestlings; (7) 10 ten days old nestlings; (8) nestling in the day before fledging.
Data from: Whole-organism behavioral profiling reveals a role for dopamine in state-dependent motor program coupling in C. elegans.
<p>Animal behaviors are commonly organized into long-lasting states that coordinately impact the generation of diverse motor outputs such as feeding, locomotion, and grooming. However, the neural mechanisms that coordinate these diverse motor programs remain poorly understood. Here, we examine how the distinct motor programs of the nematode <i>C. elegans </i>are coupled together across behavioral states. We describe a new imaging platform that permits automated, simultaneous quantification of each of the main <i>C. elegans</i> motor programs over hours or days. Analysis of these whole-organism behavioral profiles shows that the motor programs coordinately change as animals switch behavioral states. Utilizing genetics, optogenetics, and calcium imaging, we identify a new role for dopamine in coupling locomotion and egg-laying together across states. These results provide new insights into how the diverse motor programs throughout an organism are coordinated and suggest that neuromodulators like dopamine can couple motor circuits together in a state-dependent manner. </p>
Sex- and state-dependent covariation of risk-averse and escape behavior in a widespread lizard
<p>Mounting evidence has show<span>n</span> that personality and behavioral syndromes have a substantial influence on <span>interspecific interactions</span> and <span>individual </span>fitness. However, the stability of <span>covariation among multiple behavioral traits involved in antipredator responses</span> <span>has seldom been tested</span>. Here, we <span>investigate whether </span>sex, <span>gravidity</span>, and parasit<span>e infestations influence</span> <span>the covariation</span> <span>between</span> <span>risk-aversion</span> <span>(hiding time within a refuge) </span>and <span>escape</span> <span>response (immobility, escape distance)</span> using a viviparous lizard<span>,</span> <em>Zootoca vivipara</em><span> as a model system. Our results</span> <span>demonstrated a correlation between risk-averse and escape behavior at the among-individual level, but </span>only <span>in</span> <span>gravid</span> females<span>. We found no significant correlations in either males or neonates</span>. <span>A striking result was the loss of the association in post-parturition females. </span>Th<span>is</span> <span>suggests</span> that the <span>'risk-averse</span> – <span>e</span>scape<span>'</span> syndrome <span>is ephemeral and only emerges in response to constraints on locomotion driven by reproductive burden.</span> <span>Moreover</span>, parasites have the potential to disassociate the<span> correlations between</span> <span>risk-aversion and </span>escape <span>response</span> in <span>gravid</span> females, <span>yet the causal chain requires further examination</span>. <span>Overall, o</span>ur findings provide evidence of differences in the association <span>between</span> <span>behaviors within the life-time of an individual</span> and <span>indicate</span> that <span>individual states, sex and life stages can together</span> influence the stability of behavioral syndromes.</p>
Behavioral and postural analyses establish sleep-like states for mosquitoes that can impact host landing and blood feeding
<p>Sleep is an evolutionarily conserved process that has been described in different animal systems. For insects, sleep characterization has been primarily achieved using behavioral and electrophysiological correlates in a few systems. Sleep in mosquitoes, which are important vectors of disease-causing pathogens, has not been directly examined. This is surprising as circadian rhythms, which have been well studied in mosquitoes, influence sleep in other systems. In this study, we characterized sleep in mosquitoes using body posture analysis and behavioral correlates and quantified the effect of sleep deprivation on sleep rebound, host landing and blood-feeding propensity. Body and appendage position metrics revealed a clear distinction between the posture of mosquitoes in their putative sleep and awake states for multiple species, which correlate with a reduction in responsiveness to host cues. Sleep assessment informed by these posture analyses indicated significantly more sleep during periods of low activity. Nighttime and daytime sleep deprivation resulting from the delivery of vibration stimuli induced sleep rebound in the subsequent phase in day and night active mosquitoes, respectively. Lastly, sleep deprivation suppressed host landing in both laboratory and field settings, and impaired blood-feeding of a human host when mosquitoes would normally be active. These results suggest that quantifiable sleep states occur in mosquitoes and highlight the potential epidemiological importance of mosquito sleep.</p>
Courtship behavior and a mating event of the Whitespotted eagle rays, Aetobatus narinari, in surrounding waters of the Anchieta Island State Park, Southeast Brazil.
<p>The Diving into Conservation project is a inititive that seeks to sensitize visitors of the Anchieta Island State Park (AISP), a protection area - IUCN Category II, about conservations matters, specially regaring the whitespotted eagle ray, <em>Aetobatus narinari</em>. The AISP's boundaries is safeguarded by a marine no-take zone. Since 2022, the project has been monitoring the AISP's surrounding waters, with volunteers conducting sampling campaigns using drones, Baited Remote Underwater Videos and Diver Operated Videos. Here, we present the records made on March 2023 and January 2024, showing the courtship behaviour and mating event of the species. Such findings reveal the importance of the protected areas as a safety place for mating events.</p>
Data for article "Highly Substituted delta3-1,2,3-Triazolines: Solid-State Emitters with Electrofluorochromic Behavior"
<p>This upload contains electrochemistry, EPR, NMR, UV-vis, fluorescence and X-Ray diffraction data for article "Highly Substituted D3-1,2,3-Triazolines: Solid-State Emitters with Electrofluorochromic Behavior", Suleymanov et al. <em>Chem. Eur. J. </em><strong>2019 </strong>(DOI: 10.1002/chem.201901345).</p>
Behavioral control by depolarized and hyperpolarized states of an integrating neuron
<p><span>Coordinated transitions between mutually exclusive motor states are central to behavioral decisions. During locomotion, the nematode <i>Caenorhabditis elegans</i> spontaneously cycles between forward runs, reversals, and turns with complex but predictable dynamics. Here we provide insight into these dynamics by demonstrating how<i> </i>RIM interneurons, which are active during reversals, </span>act in two modes to stabilize both forward runs and reversals. <span>By systematically quantifying the roles of RIM outputs during spontaneous behavior, we </span>show that RIM lengthens reversals when depolarized through glutamate and tyramine neurotransmitters and lengthens forward runs when hyperpolarized through its gap junctions. RIM is not merely silent upon hyperpolarization: RIM <span>gap junctions actively reinforce a hyperpolarized state of the reversal circuit. Additionally, the combined outputs of chemical synapses and gap junctions from RIM regulate forward-to-reversal transitions. Our results indicate that multiple classes of RIM synapses create behavioral inertia during spontaneous locomotion.</span></p>
Ant behavioral maturation is mediated by a stochastic transition between two fundamental states
Open the record for dataset details and reuse information.
Behavioral and postural analyses establish sleep-like states for mosquitoes that can impact host landing and blood feeding
Open the record for dataset details and reuse information.
Data from: Effects of food intake and hydration state on behavioral thermoregulation and locomotor activity in the tropidurid lizard Tropidurus catalanensis
Open the record for dataset details and reuse information.
Data from: Temperament, state-dependent behaviors, and their interplay in large herbivores: Lessons from a long-term study on mule deer, elk, and bighorn sheep
Open the record for dataset details and reuse information.
Behavioral control by depolarized and hyperpolarized states of an integrating neuron
Open the record for dataset details and reuse information.
ScienceDex guides
Understand access before you commit
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.