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.
15
datasets available to search
ShareScore release 0.9.0
Dataset results
15 results for “Collective Motion”
Non-local interactions in collective motion
<p>The collective motion of animal groups often exhibits velocity-velocity correlations between nearest neighbours, with the strongest velocity correlations observed at the shortest inter-animal spacings. This may have been a motivational factor in the development of models based primarily on short-ranged interactions. Here we ask whether such observations necessarily mean that the interactions are short-ranged. We develop a minimal model of collective motion capable of supporting interactions of arbitrary range and show that it represents a counter-example: the strongest velocity correlations emerge at the shortest distances, even when the interactions are explicitly non-local.</p>
Non-local interactions in collective motion
Open the record for dataset details and reuse information.
The Role of Largest Connected Components in Collective Motion (ANTS 2018)
<p>Simulation program, plotting script, data, and finished plots</p> <p>to compile on a linux machine type "g++ -O3 -Wall main.c"</p> <p> </p> <p>Systems showing collective motion are partially described by<br> a distribution of positions and a distribution of velocities. While models<br> of collective motion often focus on system features governed mostly by<br> velocity distributions, the model presented in this paper also incorpo-<br> rates also features influenced by positional distributions. A significant<br> feature, the size of the largest connected component of the graph in-<br> duced by the particle positions and their perception range, is identified<br> using a 1-d self-propelled particle model (SPP). Based on largest con-<br> nected components, properties of the system dynamics are found that<br> are time-invariant. A simplified macroscopic model can be defined based<br> on this time-invariance, which may allow for simple, concise, and precise<br> predictions of systems showing collective motion.</p>
Data and codes for the article "Quantum collective motion of macroscopic mechanical oscillators"
Open the record for dataset details and reuse information.
Data and code for: Collective motion diminishes, but variation between groups emerges, through time in fish shoals
<p>Despite extensive interest in the dynamic interactions between individuals that drive collective motion in animal groups, the dynamics of collective motion over longer time frames are understudied. Using three-spined sticklebacks, <i>Gasterosteus aculeatus,</i> randomly assigned to twelve shoals of eight fish, we tested how six key traits of collective motion changed over shorter (within trials) and longer (between days) timescales under controlled laboratory conditions. Over both timescales, groups became less social with reduced cohesion, polarisation, group speed and information transfer. There was consistent inter-group variation (i.e. collective personality variation) for all collective motion parameters, but groups also differed in how their collective motion changed over days in their cohesion, polarisation, group speed and information transfer. This magnified differences between groups, suggesting that over time the 'typical' collective motion cannot be easily characterised. Future studies are needed to understand whether such between-group differences in changes over time are adaptive and represent improvements in group performance or are suboptimal but represent a compromise between individuals in their preferences for the characteristics of collective behaviour.</p>
Visual processing and collective motion-related decision-making in desert locusts
<p>Collectively moving groups of animals rely on decision-making of locally interacting individuals in order to maintain swarm cohesion. However, the complex and noisy visual environment poses a major challenge to the extraction and processing of relevant information. We addressed this challenge by studying swarming-related decision-making in desert locust nymphs. Controlled visual stimuli, in the form of random dot kinematograms, were presented to tethered locust nymphs in a trackball setup, while monitoring movement trajectory and walking parameters. In a complementary set of experiments, the neurophysiological basis of the observed behavioral responses was explored. Our results suggest that locusts utilize filtering and discrimination upon encountering multiple stimuli simultaneously. Specifically, we show that locusts are sensitive to differences in speed at the individual conspecific level, and to movement coherence at the group level, and may use these to filter out non-relevant stimuli. The locusts also discriminate and assign different weights to different stimuli, with an observed interactive effect of stimulus size, relative abundance, and motion direction. Our findings provide insights into the cognitive abilities of locusts in the domain of decision-making and visual-based collective motion and support locusts as a model for investigating sensory-motor integration and motion-related decision-making in the intricate swarm environment.</p>
Data for: "Dynamics of collective motion across time and species"
<p>This repository contains the data accompanying the paper:</p> <p><strong>Papadopoulou M., Fürtbauer I., O’Bryan L., Garnier S., Georgopoulou D., Bracken A., Christensen C., and King A.J. (2022) "Dynamics of collective motion across time and species". Phil. Trans. R. Soc. B 20220068 <a href="https://doi.org/10.1098/rstb.2022.0068">https://doi.org/10.1098/rstb.2022.0068</a></strong></p> <p>This work is supported by an Office for Naval Research (ONR) Global Grant (N629092112030) awarded to AJK.</p>
Data and code for: Collective motion diminishes, but variation between groups emerges, through time in fish shoals
Open the record for dataset details and reuse information.
Visual processing and collective motion-related decision-making in desert locusts
Open the record for dataset details and reuse information.
Observing polarization patterns in the collective motion of nanomechanical arrays
<p>This file contains the data and code for the paper "Observing polarization patterns in the collective motion of nanomechanical arrays".</p>
IMU data collected for motion recognition
<p>IMU data in walking, speed varied from 0-8 km/h </p> <p>IMU and FSR data in gait cycle( five gait events per cycle)</p> <p>IMU data in 9 different activities </p>
Data from: Social behaviour and collective motion in plant-animal worms
Social behaviour may enable organisms to occupy ecological niches that would otherwise be unavailable to them. Here we test this major evolutionary principle by demonstrating self-organizing social behaviour in the plant-animal, Symsagittifera roscoffensis. These marine aceol flat worms rely for all of their nutrition on the algae within their bodies: hence their common name. We show that individual worms interact with one another to co-ordinate their movements so that even at low densities they begin to swim in small polarized groups and at increasing densities such flotillas turn into circular mills. We use computer simulations to: (1) determine if real worms interact socially by comparing them with virtual worms that do not interact and (2) show that the social phase transitions of the real worms can occur based only on local interactions between and among them. We hypothesize that such social behaviour helps the worms to form the dense biofilms or mats observed on certain sun-exposed sandy beaches in the upper intertidal of the East Atlantic and to become in effect a super-organismic seaweed in a habitat where macro-algal seaweeds cannot anchor themselves. S. roscoffensis, a model organism in many other areas in biology (including stem cell regeneration), also seems to be an ideal model for understanding how individual behaviours can lead, through collective movement, to social assemblages.
Data from: Social behaviour and collective motion in plant-animal worms
Open the record for dataset details and reuse information.
Data from: A Turing Test for Collective Motion
Open the record for dataset details and reuse information.
A Study for Collecting Data on the Motion Analysis of Stroke Patients
ClinicalTrials.gov study NCT05916924. IPD Sharing: YES. Countries: 1. Publications: 0.
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.