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datasets available to search
ShareScore release 0.9.0
Dataset results
23 results for “active avoidance”
Optomotor response (eye movment) and avoidance responses (locomotor activity) of crabs Neohelice granulata for LP-lesioned, control lesioned and control crabs
<p>When an animal rotates (whether it is an arthropod, a fish, a bird, or a human) a drift of the visual panorama occurs over its retina, termed optic flow. The image motion is stabilized by compensatory behaviors (driven by the movement of the eyes, head or the whole body depending on the animal) collectively termed optomotor response (OR). Dipteran lobula plate has been consistently linked with optic flow processing and the control of optomotor responses. Crabs have a neuropil similarly located and interconnected in the optic lobes, therefore referred to as a lobula plate also. Here we show that the crab's lobula plate is required for normal optomotor response since the response was lost or severely impaired in animals whose lobula plate had been lesioned. The effect was behavior-specific, since avoidance responses to approaching visual stimuli were not affected. Crabs require simpler optic flow processing than flies (because they move slower and in 2D instead of 3D), consequently their lobula plates are relatively smaller. Nonetheless, they perform the same essential role in the visual control of behavior. Our findings add a fundamental piece to the current debate on the evolutionary relationship between the lobula plates of insects and crustaceans.</p>
Data from: Human avoidance, selection for darkness and prey activity explain wolf diel activity in a highly cultivated landscape
<p>Wildlife that share habitats with humans with limited options for spatial avoidance must either tolerate frequent human encounters or concentrate their activity on those periods with the least risk of encountering people. Based on 5,259 camera trap images of adult wolves from eight territories, we analyzed the extent to which diel activity patterns in a highly cultivated landscape with extensive public access (Denmark) could be explained by diel variation in darkness, human activity, and prey (deer) activity. A resource selection function that contrasted every camera observation (use) with 24 alternative hourly observations from the same day (availability), revealed that diel activity correlated with all three factors simultaneously with human activity having the strongest effect (negative), followed by darkness (positive) and deer activity (positive). A model incorporating these three effects had lower parsimony and classified use and availability observations just as well as a 'circadian' model that smoothed the use-availability ratio as a function of time of the day. Most of the selection for darkness was explained by variation in human activity, supporting the notion that nocturnality (proportion of observations registered at night vs. day at the equinox) is a proxy for temporal human avoidance. Contrary to our expectations, wolves were no more nocturnal in territories with unrestricted public access than in territories where public access was restricted to roads, possibly because wolves in all territories had few possibilities to walk more than a few hundred meters without crossing roads. Overall, Danish wolf packs were 6.5 (95% CI: 4.6-9.6) times more active at night than at daylight, which makes them amongst the most nocturnally active wolves reported so far. These results confirm the prediction that wolves in habitats with limited options for spatial human avoidance, invest more in temporal avoidance.</p>
Avoiding sedentary behaviors requires more cortical resources than avoiding physical activity
<p><strong>Dataset related to the paper entitled "Avoiding sedentary behaviors requires more cortical resources than avoiding physical activity". </strong></p> <p>This dataset includes:</p> <p>1) A workbook</p> <p>2) Raw data ("raw_data_eprime_zen.csv") of the behavioral outcomes of the manikin task</p> <p>3) Self-reported data ("data_self_report_R_subset_zen.csv").</p> <p>4) Electroencephalography data ("ERP_by_subject_by_condition_data.zip").</p> <p>5) R script for the data management of the behavioral outcomes (i.e., from the raw data to data ready to be analyzed)</p> <p>6) Images used in the manikin task</p> <p>7) Eprime script for the manikin task</p>
Robot trajectory data for "Biohybrid Fly-Robot Interface system performs active collision avoidance"
<p>This dataset includes the videos of the trajectories of the biohybrid robot (Fly-Robot Interface), performing collision avoidance at the patterned wall corners (90 and 60 degrees). A python script for the manual tracking is also attached, as well as the processed coordinates of each individual robot trajectory, where two tracking markers were chosen on the front-left and front-right corners of the robot.</p> <p>Serial Number <20: the videos at 90-degree wall corner</p> <p>Serial Number >20: the videos at 60-degree wall corner</p>
Data from: Human avoidance, selection for darkness and prey activity explain wolf diel activity in a highly cultivated landscape
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Optomotor response (eye movment) and avoidance responses (locomotor activity) of crabs Neohelice granulata for LP-lesioned, control lesioned and control crabs
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Dataset for the transcriptome analysis of hippocampal subfields identifies gene expression profiles associated with long-term active place avoidance memory
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Online tree-based planning for active spacecraft fault estimation and collision avoidance
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Fractal analysis of muscle activity patterns during locomotion: pitfalls and how to avoid them
<p>Despite the lack of consensus on how to perform fractal analysis of physiological time series, many studies rely on this technique. Here, we shed light on the potential pitfalls of using the Higuchi’s fractal dimension (HFD) and the Hurst exponent (H). We expose and suggest how to solve the drawbacks of such methods when applied to data from normal and perturbed locomotion by combining <em>in vivo</em> recordings and computational approaches.</p> <p>In this supplementary data set we made available: a) the metadata file “metadata.dat”; b) the baseline signals file “baseline_data.RData”; c) the R script “fractal_analysis.R” to calculate the H and HFD of the baseline data and produce the log-log plots. Explanatory comments are profusely present throughout the script and in the metadata file.</p>
Data from: Avoidance of windfarms by harbour seals is limited to pile driving activities
As part of global efforts to reduce dependence on carbon-based energy sources there has been a rapid increase in the installation of renewable energy devices. The installation and operation of these devices can result in conflicts with wildlife. In the marine environment, mammals may avoid wind farms that are under construction or operating. Such avoidance may lead to more time spent travelling or displacement from key habitats. A paucity of data on at-sea movements of marine mammals around wind farms limits our understanding of the nature of their potential impacts. Here, we present the results of a telemetry study on harbour seals Phoca vitulina in The Wash, south-east England, an area where wind farms are being constructed using impact pile driving. We investigated whether seals avoid wind farms during operation, construction in its entirety, or during piling activity. The study was carried out using historical telemetry data collected prior to any wind farm development and telemetry data collected in 2012 during the construction of one wind farm and the operation of another. Within an operational wind farm, there was a close-to-significant increase in seal usage compared to prior to wind farm development. However, the wind farm was at the edge of a large area of increased usage, so the presence of the wind farm was unlikely to be the cause. There was no significant displacement during construction as a whole. However, during piling, seal usage (abundance) was significantly reduced up to 25 km from the piling activity; within 25 km of the centre of the wind farm, there was a 19 to 83% (95% confidence intervals) decrease in usage compared to during breaks in piling, equating to a mean estimated displacement of 440 individuals. This amounts to significant displacement starting from predicted received levels of between 166 and 178 dB re 1 μPa(p-p). Displacement was limited to piling activity; within 2 h of cessation of pile driving, seals were distributed as per the non-piling scenario. Synthesis and applications. Our spatial and temporal quantification of avoidance of wind farms by harbour seals is critical to reduce uncertainty and increase robustness in environmental impact assessments of future developments. Specifically, the results will allow policymakers to produce industry guidance on the likelihood of displacement of seals in response to pile driving; the relationship between sound levels and avoidance rates; and the duration of any avoidance, thus allowing far more accurate environmental assessments to be carried out during the consenting process. Further, our results can be used to inform mitigation strategies in terms of both the sound levels likely to cause displacement and what temporal patterns of piling would minimize the magnitude of the energetic impacts of displacement.
Zebrafish capable of generating future state prediction error show improved active avoidance behavior in virtual reality [Dataset]
<p>The calcium imaging data of the telencephalon of head-tethered adult zebrafish during GO/NOGO tasks in the virtual reality environment and the behavior data were deposited.</p> <p>The codes to process the neural activity data by calcium imaging to perform Non-negative Matrix Factorization </p> <p>For details, see "Zebrafish capable of generating future state prediction error show improved active avoidance behavior in virtual reality" Torigoe et al., Nature Communications in press.</p>
Data from: Avoidance of windfarms by harbour seals is limited to pile driving activities
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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>
Spatially Resolved Transcriptomic Signatures of Hippocampal Subregions and Arc-Expressing Ensembles in Active Place Avoidance Memory [Spatial Transcriptomics]
GEO Series GSE279273. Mus musculus. 2 samples. Type: Other.
BRAVE-HEART: Breast Cancer Radiotherapy Using Active Breathing Coordinator to aVoid Exposure of HEART
ClinicalTrials.gov study NCT07299812. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Investigating the Development, Validity, and Reliability of the Avoidance of Sports Activities Photo Scale
ClinicalTrials.gov study NCT06266273. IPD Sharing: NO. Countries: 1. Publications: 0.
MRI-Based Active Surveillance to Avoid the Risks of Serial Biopsies in Men With Low-Risk Prostate Ca
ClinicalTrials.gov study NCT02564549. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Meiotic DNA breaks activate a streamlined response that largely avoids protein level changes
GEO Series GSE197022. Saccharomyces cerevisiae. 6 samples. Type: Expression profiling by high throughput sequencing.
DET1-mediated COP1 regulation avoids HY5 activity over second-site targets to tune plant photomorphogenesis
GEO Series GSE155147. Arabidopsis thaliana. 29 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Sequestration of gut pathobionts in intraluminal casts, a mechanism to avoid dysregulated T cell activation by pathobionts
GEO Series GSE211049. Mus musculus. 9 samples. Type: Expression profiling by high throughput sequencing.
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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.