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375 results for “behavioral change”
Data for: Mercury contamination challenges the behavioral response of a keystone species to Arctic climate change
<p>Combined effects of multiple, climate change-associated stressors are of mounting concern, especially in Artic ecosystems. Elevated mercury (Hg) exposure in Arctic animals could affect behavioural responses to changes in foraging landscapes linked to climate change, generating interactive effects on behaviour and population resilience. We investigated this hypothesis in the little auk (<em>Alle alle</em>), a keystone Artic seabird. We compiled behavioural data using accelerometers, and quantified blood mercury and environmental conditions (sea surface temperature (SST), sea ice coverage (SIC)) across multiple years. These datasets contain the behavioral, blood Hg and environmental data (SST, SIC) used in our analyses. Details about the datasets are found in the accompanying word document.</p>
Data from "Behavioral flexibility is associated with changes in structure and function distributed across a frontal cortical network in macaques"
<p>DATA FILES from the study below:</p> <p><strong><a href="https://www.biorxiv.org/content/10.1101/603530v1">Behavioral flexibility is associated with changes in structure and function distributed across a frontal cortical network in macaques</a></strong></p> <p>Jérôme Sallet, MaryAnn P Noonan, Adam Thomas, Jill X O’Reilly, Jesper Anderson, Georgios KPapageorgiou, Franz X Neubert, Bashir Ahmed, Jackson Smith, Andrew H Bell, Mark J Buckley, LéaRoumazeilles, Steven Cuell, Mark E Walton, Kristine Krug, Rogier B Mars, Matthew FS Rushworth</p> <p>bioRxiv 603530; doi: <a href="https://doi.org/10.1101/603530">https://doi.org/10.1101/603530</a></p> <p>*.nii.gz files could be opened with FSLeyes -<a href="https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/FSLeyes)">https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/FSLeyes)</a></p> <p>Dara are also available from : https://www.jeromesallet.org/data-ofc-reversal-learning</p>
Short-term change in water availability influences thermoregulation behaviors in a dry-skinned ectotherm
<p>Datasets for "Short-term change in water availability influences thermoregulation behaviors in a dry-skinned ectotherm" by Rozen-Rechels et al. (2020) in Journal of Animal Ecology</p> <p> </p> <p><strong>Abstract</strong></p> <p>1. Mechanistic models of terrestrial ectotherms predict that climate warming will induce activity restriction due to heat stress and loss of shade, leading to the extinction of numerous populations. Such models rely on the assumption that activity patterns are dictated by simple temperature thresholds independent of changes in water availability. However, changes in water availability may further influence thermoregulation behavior of ectotherms through dehydration risk perception, changes in water balance or changes in microclimatic conditions.</p> <p>2. Here, we experimentally assess the interactive effects of thermal conditions and water availability on activity patterns, shade selection and thermoregulation efficiency in a model ectothermic species. 3. Thermoregulation behavior of adult common lizards (<em>Zootoca vivipara</em>) was monitored in outdoor mesocosms as we manipulated water availability, providing water as mist in the morning and free-standing water during the daytime. We recorded operative temperatures and micro-meteorological conditions to infer thermal constraints and dehydration risk.</p> <p>4. Activity and shade selection were better predicted by continuous changes in thermal conditions and dehydration risk, respectively, than by threshold functions. In addition, water supplementation increased activity in males and reduced shade selection in both sexes, most probably as a behavioral response to the perception of a stronger dehydration risk. Water supplementation also influenced the thermal quality of the environment, which in turn altered daily activity patterns and thermoregulation statistics.</p> <p>5. This demonstrates that dual effects of heat and water stress on activity patterns may lead to stronger activity restriction as a result of climate change than currently predicted.</p>
Dataset: How do news about a heatwave affect public prioritization of climate change adaptation and mitigation behaviors?
<p><span>These datasets contain survey data that was used to evaluate the effect of the exposure to heatwave news texts on people’s preference for climate mitigation and adaptation actions, as presented in the manuscript titled “<em>How do news about a heatwave affect public prioritization of climate change adaptation and mitigation behaviors?</em>”. Three versions of the dataset are available:</span></p> <ol> <li><strong>Original dataset</strong>: This version contains choice text as data points and includes all finished survey responses that passed the attention check questions (n=1209).</li> <li><strong>Original recoded dataset</strong>: This version was generated by recoding choice text into numerical values. The 'Income' variable, representing household income levels for both Canadian and US residents, was added by converting reported income ranges to a unified scale based on exchange rate equivalencies. The "Income_Canadians" and "Income_US" columns were subsequently removed to avoid repetitions. </li> <li><strong>Final dataset</strong>: This version excludes observations from participants who completed the survey in under four minutes and those who selected the same response for every item within each matrix-style question (also known as straight-lining). Additionally, responses with missing values in questions regarding political views, gender, and household income, as well as responses where participants identified as non-binary or indicated that their gender was not listed, were omitted (see “Methods” for more details). Dependent variables have been added based on the original responses, including personal-level mitigation and adaptation likelihoods, personal-level mitigation preference, and both non-weighted and weighted collective-level mitigation preference. Furthermore, the dataset includes a 'Climate Change Concern' variable, derived through principal component analysis of thirteen variables expressing participants’ climate change attitudes and efficacy beliefs concerning climate actions. Variables not used in the subsequent data analysis were removed. Age, political views, education, and income columns were standardized. The final dataset was used for the data analysis presented in the manuscript.</li> </ol> <p>The following variables/columns can be found across the three versions of the dataset:</p> <ul> <li>Dependent variables: <ul> <li>Starting with “<em>Personal_Mitigation</em>”: participant’s self-reported likelihood of taking selected personal-level climate change mitigation actions</li> <li>Starting with “<em>Personal_Adaptation</em>”: participant’s self-reported likelihood of taking selected personal-level climate change adaptation actions</li> <li>Starting with “<em>Collective_Mitigation</em>”: participant’s ranking of the collective-level climate change mitigation initiatives</li> <li>Starting with “<em>Collective_Adaptation</em>”: participant’s ranking of the collective-level climate change adaptation initiatives</li> <li><em>Personal_Mitigation_Likelihood</em>: personal-level mitigation likelihood (present only in the final dataset)</li> <li><em>Personal_Adaptation_Likelihood</em>: personal-level adaptation likelihood (present only in the final dataset)</li> <li><em>Personal_Preference</em>: personal-level mitigation preference (present only in the final dataset)</li> <li><em>Collective_Preference_Unweighted</em>: non-weighted collective-level mitigation preference (present only in the final dataset)</li> <li><em>Collective_Preference_Weighted</em>: weighted collective-level mitigation preference (present only in the final dataset)</li> </ul> </li> <li>Independent variables: <ul> <li><em>Group</em>: group that the participant was assigned to as part of the experimental intervention</li> <li><em>Distance</em>: indicates whether the participant was assigned to read about a heatwave occurring in their community or a city 6,000 km away (for experimental groups only)</li> <li><em>Severity</em>: indicates whether the participant was prompted to read about a heatwave without or with the mention of associated causalities (for experimental groups only)</li> </ul> </li> <li>Covariates and supporting variables: <ul> <li><em>Gender</em>: gender identity</li> <li><em>Identity</em>: ethnic and/or racial identity</li> <li><em>Age</em>: age</li> <li><em>Political_Views</em>: position on the liberal-conservative continuum</li> <li><em>Education</em>: highest level of education</li> <li><em>Country</em>: country of residence</li> <li><em>Canada_Province</em>: province or territory of residence (for Canadian participants only)</li> <li><em>US_State</em>: state of residence (for US participants only)</li> <li><em>Duration_Residence</em>: duration of residence in the current community</li> <li><em>Income_Canadians</em>: annual household income in Canadian dollars (for Canadian participants only)</li> <li><em>Income_US</em>: annual household income in US dollars (for US participants only)</li> <li><em>Income</em>: annual household income for both Canadian and US residents derived by converting reported income ranges to a unified scale based on exchange rate equivalencies</li> <li><em>Efficacy_Mitigation_Personal</em>: belief regarding the response efficacy of personal-level climate change mitigation actions</li> <li><em>Efficacy_Mitigation_Collective</em>: belief regarding the response efficacy of collective-level climate change mitigation actions</li> <li><em>Efficacy_Adaptation_Personal</em>: belief regarding the response efficacy of personal-level climate change adaptation actions</li> <li><em>Efficacy_Adaptation_Collective</em>: belief regarding the response efficacy of collective-level climate change adaptation</li> <li><em>Climate_Change_Importance:</em> perception of climate change as a personally important issue</li> <li>Climate_Change_Worry: level of worry about climate change</li> <li>Starting with “<em>Climate_Risk</em>”: beliefs regarding the degree of harm that climate change will cause to plants and animal species (Climate_Risk_Animals_Plants), future generations of people (Climate_Risk_Future_Generations), people in developing countries (Climate_Risk_Developing_Countries), people in participant’s country (Climate_Risk_Country), people in participant’s community (Climate_Risk_Community), and the participant personally (Climate_Risk_Personal)</li> <li>Climate_Change_Onset_Time: belief regarding when climate change will start harming people in their community</li> <li><em>Six_Americas_Segment</em>: the Global Warming's Six Americas segment participant aligns with derived based on the Six Americas Short SurveY (SASSY) Group Scoring Tool</li> <li><em>Climate_Change_Concern</em>: variable derived through PCA of thirteen variables expressing participants' climate change attitudes and efficacy beliefs pertaining to climate actions (present only in the final dataset)</li> <li><em>Survey_Duration_Seconds</em>: The amount of time it took the respondent to complete the survey</li> </ul> </li> </ul>
Figure 2 in Changes in the feeding behavior and habitat use of the desert hedgehog Paraechinus aethiopicus (Ehrenberg 1832, Eulipotyphla: Erinaceidae), in Saudi Arabia
Figure 2. Relationship between values of the trophic niche breadth in the four seasons during period from February 2015 and October 2019 in five study sites in Saudi Arabia.
Dataset for acceleration measurements at the research bridge openLAB in Bautzen, Germany - Change of dynamic behavior in the concrete hardening process
<p>This data set was collected during the construction phase of the openLAB in Bautzen, Germany during the period from 22.01.2024 - 30.04.2024. It includes acceleration measurements and temperature measurements that record the dynamic behavior of the bridge over a period of 49 days (from 22.01.2024 to 11.03.2024; the remaining data cannot be uploaded due to the Zenodo upload restriction, but can be released on request). The detailed documentation of the data set can be found in the file "Bartels, Dunkel, Marx_2024_Documentation.pdf". The documentation describes the structure, the applied monitoring system and the collected data in detail.</p>
Data for Spanish versión of The App Behavior Change Scale (ABACUS-Es)
<p>Data for the paper Spanish versión of The App Behavior Change Scale (ABACUS-Es)</p>
DS6.SSSA-02. Human_Walking_Dataset_at_SSSA. Dataset for characterizing the walking behavior of subjects and identification of changes in the motion patterns, based on RGB-D cameras.
<p>This dataset is used for characterizing the wakling behavior of subjects. It is based on RGB-D camerasand obtained through data collection experiments at the premises of the Percro Labotory, TeCIP Intitute, Scuola Superiore Sant'Anna (Pisa, Italy). Data are collected for the gait patterns of 9 healthy participants.</p>
Environmental behavior of novel "smart" anti-corrosion nanomaterials in a global change scenario
<div>The present dataset contains dynamic light scattering data and quantification of anions (corrosion inhibitors) and target metals (Zn and Al) in saltwater dispersions aiming to assess and compare the environmental behavior of four anti-corrosion nanomaterials in the following conditions: “temperate seawater” (T=20 ºC, pH=8.0, without HA); “tropical seawater” (T=30 ºC, pH=8.0, without HA), “acidified temperate seawater” (T=20 ºC, pH=7.6, without HA), “acidified tropical seawater” (T=30 ºC, pH 7.6, without HA); “temperate seawater enriched with natural organic matter (NOM)” (T=20 ºC, pH=8.0, with HA); “tropical seawater enriched NOM” (T=30 ºC, pH=8.0, with HA).</div> <div> </div> <div> </div>
Fig. 39 in Hospicidal Behavior of the Cleptoparasitic Wasp Sapyga luteomaculata And Investigation into Ontogenetic Changes in Its Larval Anatomy (Hymenoptera: Vespoidea: Sapygidae)
Fig. 39. Microphotograph of labium of cleared postdefecating fourth instar of Sapyga luteomaculata, showing narrow but pronounced premental sclerite, labial palpi, and articulating arms of stipites.
Figs. 37, 38 in Hospicidal Behavior of the Cleptoparasitic Wasp Sapyga luteomaculata And Investigation into Ontogenetic Changes in Its Larval Anatomy (Hymenoptera: Vespoidea: Sapygidae)
Figs. 37, 38. SEM micrographs of postdefecating fourth instar of Sapyga luteomaculata. 37. Posterior part of abdomen, lateral view, showing dorsal divisions of segments into cephalic and caudal annulets. 38. Spiracle.
Figs. 41–43 in Hospicidal Behavior of the Cleptoparasitic Wasp Sapyga luteomaculata And Investigation into Ontogenetic Changes in Its Larval Anatomy (Hymenoptera: Vespoidea: Sapygidae)
Figs. 41–43. SEM micrographs of larval instars of Sapyga luteomaculata. 41. Second instar head, lateral view with hypostomal groove no longer deep or with pores. 42. Head of same, ventrolateral view. 43. Right antennal papilla and slitlike anterior tentorial pit of third instar, oblique frontal view.
Figs. 25–30 in Hospicidal Behavior of the Cleptoparasitic Wasp Sapyga luteomaculata And Investigation into Ontogenetic Changes in Its Larval Anatomy (Hymenoptera: Vespoidea: Sapygidae)
Figs. 25–30. SEM micrographs of first instar of Sapyga luteomaculata. 25. Head, approximate frontoventral view. 26. Close-up of left maxilla identifying low maxillary palpus and galea. 27. Close-up of apex of left antenna, lateral view. 28. Abdominal segment 10, showing laterally branched pygopod, caudal view. 29. Spiracle of first abdominal segment. 30. Spiracle of metathorax to same scale as fig. 29.
Figs. 21–24 in Hospicidal Behavior of the Cleptoparasitic Wasp Sapyga luteomaculata And Investigation into Ontogenetic Changes in Its Larval Anatomy (Hymenoptera: Vespoidea: Sapygidae)
Figs. 21–24. SEM micrographs of first instar of Sapyga luteomaculata. 21. Entire larva, lateral view. 22. Head, lateral view. 23. Head, ventrolateral view, to show pronounced hypostomal groove, gular bridge, stipital sclerites. 24. Close-up of anterior part of hypostomal groove identified by rectangle in fig. 23, showing pores of unknown function.
Figs. 17–20 in Hospicidal Behavior of the Cleptoparasitic Wasp Sapyga luteomaculata And Investigation into Ontogenetic Changes in Its Larval Anatomy (Hymenoptera: Vespoidea: Sapygidae)
Figs. 17–20. Diagrams of right mandible, dorsal views, drawn to approximately same scale; those of first three instars from cast skins attached to a fourth instar, which was not the fourth postdefecating form. 17. First instar. 18. Second instar. 19. Third instar. 20. Fourth instar (postdefecating form).
Figs. 11, 12 in Hospicidal Behavior of the Cleptoparasitic Wasp Sapyga luteomaculata And Investigation into Ontogenetic Changes in Its Larval Anatomy (Hymenoptera: Vespoidea: Sapygidae)
Figs. 11, 12. Macrophotographs of preserved cocoons, side view, taken from nests of Osmia submicans, all to same scale. 11. Four cocoons of Sapyga luteomaculata; left one perhaps not complete, accounting for pale coloration; second from left opened and larva removed; note fecal pellets. 12. Two cocoons of Stelis murina with larvae removed.
Figs. 8–10 in Hospicidal Behavior of the Cleptoparasitic Wasp Sapyga luteomaculata And Investigation into Ontogenetic Changes in Its Larval Anatomy (Hymenoptera: Vespoidea: Sapygidae)
Figs. 8–10. SEM micrographs of egg and mature oocyte of Sapyga luteomaculata. 8. Anterior end of egg showing chorion obscured by flaking coating; micropyle thought to be at center of picture. 9, 10. Anterior end of mature oocyte showing micropyle at anterior pole and close-up of micropyle, respectively.
Figs. 13–16 in Hospicidal Behavior of the Cleptoparasitic Wasp Sapyga luteomaculata And Investigation into Ontogenetic Changes in Its Larval Anatomy (Hymenoptera: Vespoidea: Sapygidae)
Figs. 13–16. Diagrams of right mandible with apices in maximum profile, outer views, drawn to approximately same scale; those of first three instars from cast skins attached to a fourth instar, which was not the postdefecating form. 13. First instar. 14. Second instar. 15. Third instar. 16. Fourth instar (postdefecating form).
Fig. 40 in Hospicidal Behavior of the Cleptoparasitic Wasp Sapyga luteomaculata And Investigation into Ontogenetic Changes in Its Larval Anatomy (Hymenoptera: Vespoidea: Sapygidae)
Fig. 40. Diagram of abdominal apex of mature larva of Sapyga luteomaculata before cocoon spinning, lateral view, showing small but projecting abdominal segment 10 bearing remnants of pygopod.
Figs. 1–4 in Hospicidal Behavior of the Cleptoparasitic Wasp Sapyga luteomaculata And Investigation into Ontogenetic Changes in Its Larval Anatomy (Hymenoptera: Vespoidea: Sapygidae)
Figs. 1–4. Macrophotographs of live eggs and larvae of Sapyga luteomaculata. 1. Two eggs of cleptoparasite floating on provisions in host cell with host egg at bottom of picture. 2. Same cell as in fig. 1, later, first cleptoparasite egg now hatched leaving chorion behind and first instar attacking other cleptoparasite, which has hatched or is about to hatch; host egg not yet killed. 3. First instar in another cell attacking host egg that is already flaccid. 4. Second instar, showing navicular shape and scalloped lateral outline. 5. Third instar, showing well-defined, opaque yellowish meconial mass at rear of body. 6. Fecal pellets on abdominal apex of feeding fourth instar, showing their shape, darkness in coloration, and, on some, taillike process at apices; note small but projecting apical abdominal segment 10 of actively feeding, defecating larva.
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.