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62 results for “Collective behavior”
Spectral decompositions dataset for the paper "Random walk informed heterogeneities detection reveals how the lymph node conduits network influences T-cells collective exploration behavior"
<p>This file contains the left and right approximated eigenvectors, as well as the approximated eigenvalues of the networks analyzed in the paper : Random walk informed heterogeneities detection reveals how<br> the lymph node conduits network influences T-cells collective<br> exploration behavior</p>
Dataset associated with article "Robots mediating interactions between animals for interspecies collective behaviors"
<p>This dataset contains results and analysis described in the study "Robots mediating interactions between animals for interspecies collective behaviors", Bonnet, F., Mills, R., Szopek, M., Schönwetter-Fuchs, S., Halloy, J., Bogdan, S., Correia, L., Mondada, F. and Schmickl, T. (2019), <em>Science Robotics</em>, <em>4</em>(28), doi: 10.1126/scirobotics.aau7897</p> <p>Contents: </p> <ul> <li>experimental data (logs from robotic systems, example videos)</li> <li>animal tracking analysis output</li> </ul> <p>See the readme and summary files contained within the archives for further details.</p>
GENEActiv accelerometer files collected during the project entitled "Cultures et comportements alimentaires de la jeunesse dans les pays francophones du Pacifique au XXIème siècle: exemple de la Nouvelle-Calédonie" [Eng: "Eating cultures and behaviors of young people in French-speaking Pacific countries in the 21st century: the example of New Caledonia"] (anonymized version - third part)
<p><a title="GENEActiv" href="https://activinsights.com/technology/geneactiv/" target="_blank" rel="noopener">GENEActiv</a> accelerometer .csv files converted with a 1 second epoch from raw GENEActiv .bin files recorded during the project entitled "<strong>Cultures et comportements alimentaires de la jeunesse dans les pays francophones du Pacifique au XXIème siècle: exemple de la Nouvelle-Calédonie</strong>" [en: "<strong>Eating cultures and behaviors of young people in French-speaking Pacific countries in the 21st century: the example of New Caledonia</strong>"]. Devices are 60-Hz triaxial accelerometers.</p> <p>This dataset also contains <strong>participantCharacteristics.csv</strong> that povides basic information about participants and <strong>read_a_binFile_share.R</strong> that is a short R code aiming at converting and saving accelerometer data from .bin files in 1 second epoch .csv files (consider the Methods section).</p> <p>Participant characteristics: 10 to 16 years old students and some parents.</p> <p>Number of participants: 231 (206 adolescents + 25 adults).</p> <p>Year of the study: 2018 - 2019.</p> <p>Place of the study: New Caledonia.</p> <p>The accelerometer .csv files with a 1 second epoch and extracted from raw .bin files are available in open datasets:</p> <ul> <li><a title="Open dataset - first part" href="https://doi.org/10.5281/zenodo.12615468" target="_blank" rel="noopener">anonymized version - first part</a></li> <li><a title="Open dataset - second part" href="https://doi.org/10.5281/zenodo.12638746" target="_blank" rel="noopener">anonymized version - second part</a></li> <li><a title="Open dataset - third part" href="https://doi.org/10.5281/zenodo.12682660" target="_blank" rel="noopener">anonymized version - third part</a></li> </ul> <p>The accelerometer raw .bin files are available in <strong>restricted datasets</strong>:</p> <ul> <li><a title="Restricted dataset - first part" href="https://doi.org/10.5281/zenodo.11594645" target="_blank" rel="noopener">non-anonymized version - first part</a></li> <li><a title="Restricted dataset - second part" href="https://doi.org/10.5281/zenodo.12638965" target="_blank" rel="noopener">non-anonymized version - second part</a></li> <li><a title="Restricted dataset - third part" href="https://doi.org/10.5281/zenodo.12661429" target="_blank" rel="noopener">non-anonymized version - third part</a></li> </ul> <p>Other participant characteristics (age, place of living, cultural community and socio-economic status) are available in a <a title="Information associated with GENEActiv accelerometer files collected during the project entitled "Cultures et comportements alimentaires de la jeunesse dans les pays francophones du Pacifique au XXIème siècle: exemple de la Nouvelle-Calédonie" [en: "Eating cultures and behaviors of young people in French-speaking Pacific countries in the 21st century: the example of New Caledonia"] (non-anonymized information version)" href="https://doi.org/10.5281/zenodo.12195186" target="_blank" rel="noopener">restricted non-anonymized dataset</a>.</p> <p>When using this dataset, please cite the following reference:<br><a title="Wattelez et al. 2025" href="https://doi.org/10.1016/j.dib.2024.111228" target="_blank" rel="noopener">G. Wattelez, S. Frayon, O. Galy, Assessing physical activity/behavior of adolescents living in the Pacific with accelerometer data: 231 GENEActiv records in New Caledonia, Data in Brief 58 (2025) 111228, doi: 10.1016/j.dib.2024.111228</a></p>
GENEActiv accelerometer files collected during the project entitled "Cultures et comportements alimentaires de la jeunesse dans les pays francophones du Pacifique au XXIème siècle: exemple de la Nouvelle-Calédonie" [Eng: "Eating cultures and behaviors of young people in French-speaking Pacific countries in the 21st century: the example of New Caledonia"] (anonymized version - second part)
<p><a title="GENEActiv" href="https://activinsights.com/technology/geneactiv/" target="_blank" rel="noopener">GENEActiv</a> accelerometer .csv files converted with a 1 second epoch from raw GENEActiv .bin files recorded during the project entitled "<strong>Cultures et comportements alimentaires de la jeunesse dans les pays francophones du Pacifique au XXIème siècle: exemple de la Nouvelle-Calédonie</strong>" [en: "<strong>Eating cultures and behaviors of young people in French-speaking Pacific countries in the 21st century: the example of New Caledonia</strong>"]. Devices are 60-Hz triaxial accelerometers.</p> <p>This dataset also contains <strong>participantCharacteristics.csv</strong> that povides basic information about participants and <strong>read_a_binFile_share.R</strong> that is a short R code aiming at converting and saving accelerometer data from .bin files in 1 second epoch .csv files (consider the Methods section).</p> <p>Participant characteristics: 10 to 16 years old students and some parents.</p> <p>Number of participants: 231 (206 adolescents + 25 adults).</p> <p>Year of the study: 2018 - 2019.</p> <p>Place of the study: New Caledonia.</p> <p>The accelerometer .csv files with a 1 second epoch and extracted from raw .bin files are available in open datasets:</p> <ul> <li><a title="Open dataset - first part" href="https://doi.org/10.5281/zenodo.12615468" target="_blank" rel="noopener">anonymized version - first part</a></li> <li><a title="Open dataset - second part" href="https://doi.org/10.5281/zenodo.12638746" target="_blank" rel="noopener">anonymized version - second part</a></li> <li><a title="Open dataset - third part" href="https://doi.org/10.5281/zenodo.12682660" target="_blank" rel="noopener">anonymized version - third part</a></li> </ul> <p>The accelerometer raw .bin files are available in <strong>restricted datasets</strong>:</p> <ul> <li><a title="Restricted dataset - first part" href="https://doi.org/10.5281/zenodo.11594645" target="_blank" rel="noopener">non-anonymized version - first part</a></li> <li><a title="Restricted dataset - second part" href="https://doi.org/10.5281/zenodo.12638965" target="_blank" rel="noopener">non-anonymized version - second part</a></li> <li><a title="Restricted dataset - third part" href="https://doi.org/10.5281/zenodo.12661429" target="_blank" rel="noopener">non-anonymized version - third part</a></li> </ul> <p>Other participant characteristics (age, place of living, cultural community and socio-economic status) are available in a <a title="Information associated with GENEActiv accelerometer files collected during the project entitled "Cultures et comportements alimentaires de la jeunesse dans les pays francophones du Pacifique au XXIème siècle: exemple de la Nouvelle-Calédonie" [en: "Eating cultures and behaviors of young people in French-speaking Pacific countries in the 21st century: the example of New Caledonia"] (non-anonymized information version)" href="https://doi.org/10.5281/zenodo.12195186" target="_blank" rel="noopener">restricted non-anonymized dataset</a>.</p> <p>When using this dataset, please cite the following reference:<br><a title="Wattelez et al. 2025" href="https://doi.org/10.1016/j.dib.2024.111228" target="_blank" rel="noopener">G. Wattelez, S. Frayon, O. Galy, Assessing physical activity/behavior of adolescents living in the Pacific with accelerometer data: 231 GENEActiv records in New Caledonia, Data in Brief 58 (2025) 111228, doi: 10.1016/j.dib.2024.111228</a></p>
Human Behavioral Reaction Collection
<p>This dataset collects human behavioral reactions to robotic failures. This data was recorded from a user study and has been processed for anonymization. The dataset.csv contains human responses in terms of facial emotional values of the participants for the robot failures as they collaborated with a Baxter robot in a HRC task. The task details are defined in the papers:</p> <div> <h2>Citation</h2> </div> <p>If you use this dataset, please cite the following papers:</p> <ol> <li>P. Khanna, E. Yadollahi, M. Bj¨orkman, I. Leite, and C. Smith, “Effects of explanation strategies to resolve failures in human-robot collaboration,” in IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 2023, pp. 1829–1836</li> <li>P. Khanna, E. Yadollahi, M. Bj¨orkman, I. Leite, and C. Smith, “User study exploring the role of explanation of failures by<br>robots in human robot collaboration tasks,” in The Imperfectly Relatable Robot: An interdisciplinary workshop on the role of failure in HRI, Stockholm, Sweden, Mar. 2023. [Online]. Available: https://doi.org/10.48550/arXiv.2303.16010</li> </ol> <p>@misc{khanna2023userstudyexploringrole,<br> title={User Study Exploring the Role of Explanation of Failures by Robots in Human Robot Collaboration Tasks}, <br> author={Parag Khanna and Elmira Yadollahi and Mårten Björkman and Iolanda Leite and Christian Smith},<br> year={2023},<br> eprint={2303.16010},<br> archivePrefix={arXiv},<br> primaryClass={cs.RO},<br> url={https://arxiv.org/abs/2303.16010}, <br>}</p> <p> </p> <p>@misc{khanna2025reflexdatasetmultimodaldataset,</p> <p> title={REFLEX Dataset: A Multimodal Dataset of Human Reactions to Robot Failures and Explanations}, <br> author={Parag Khanna and Andreas Naoum and Elmira Yadollahi and Mårten Björkman and Christian Smith},<br> year={2025},<br> eprint={2502.14185},<br> archivePrefix={arXiv},<br> primaryClass={cs.RO},<br> url={https://arxiv.org/abs/2502.14185}, <br>}</p> <p> </p>
Realistic Ab Initio Predictions of Excimer Behavior under Collective Light-Matter Strong Coupling - Dataset
<p>Dataset complement to "Realistic Ab Initio Predictions of Excimer Behavior under Collective Light-Matter Strong Coupling" - includes outputs obtained using the <a href="https://etprogram.org/development-website/">eT program</a>, an open-source electronic (and molecular-polaritonic) structure program, and VIBROT (OpenMolcas).</p> <p> </p> <p>See the paper at <a href="https://journals.aps.org/prx/abstract/10.1103/PhysRevX.15.021040">https://journals.aps.org/prx/abstract/10.1103/PhysRevX.15.021040</a></p>
Figure 2: Optimization in natural ants collective behavior: foraging and clustering (from [8])-Self-organization and social insects algorithms
<p>On figure 2, two examples of self-organization in natural ants are presented.<br> On the left side, the well-known Deneubourg experiment consists to highlight<br> with a very simple device the ant foraging problem. The ant objectives is<br> to find the optimal way from nest to food source, using pheromone trail deposition.<br> On the right side, cemetery clustering formation are shown at 4<br> successive times: ants form piles of corpses to clean their nests. Each of them<br> has elementary actions, unknowing the whole situation, but dealing only with<br> local information. There is no supervisor to lead the piles formation which<br> emerges from ant interactions.</p>
Collective behavior evolves independently of benthic-limnetic divergence in stickleback
<p>Comparing populations across replicate environments or habitat types can help us understand the role of ecology in evolutionary processes. If similar phenotypes are favored in similar environments, parallel evolution may occur. Collective behavior, including collective movement (e.g., schooling, flocking) and social networks, can play a key role in the adaptation by animals to different environments. However, studies exploring the parallelism of collective behavior are limited, with research traditionally focusing on morphological traits. Here, we asked if collective behavior has evolved in parallel across replicate populations of benthic and limnetic three-spined stickleback (Gasterosteus aculeatus). There were repeatable, population-level differences in collective behavior in a common garden, with some populations forming groups that were more cohesive and with higher strength and clustering coefficients. This suggests that collective behavior can evolve. However, these differences were not predicted by ecotype (benthic vs. limnetic). We found no evidence that boldness or morphological traits – both of which are known to be associated with benthic-limnetic divergence – were correlated with collective behavior. Together, these results suggest that while collective behavior evolves in this system, it does not co-evolve with divergence along the benthic-limnetic axis.</p>
GENEActiv accelerometer files collected during the project entitled "Cultures et comportements alimentaires de la jeunesse dans les pays francophones du Pacifique au XXIème siècle: exemple de la Nouvelle-Calédonie" [Eng: "Eating cultures and behaviors of young people in French-speaking Pacific countries in the 21st century: the example of New Caledonia"] (anonymized version - first part)
<p><a title="GENEActiv" href="https://activinsights.com/technology/geneactiv/" target="_blank" rel="noopener">GENEActiv</a> accelerometer .csv files converted with a 1 second epoch from raw GENEActiv .bin files recorded during the project entitled "<strong>Cultures et comportements alimentaires de la jeunesse dans les pays francophones du Pacifique au XXIème siècle: exemple de la Nouvelle-Calédonie</strong>" [en: "<strong>Eating cultures and behaviors of young people in French-speaking Pacific countries in the 21st century: the example of New Caledonia</strong>"]. Devices are 60-Hz triaxial accelerometers.</p> <p>This dataset also contains <strong>participantCharacteristics.csv</strong> that povides basic information about participants and <strong>read_a_binFile_share.R</strong> that is a short R code aiming at converting and saving accelerometer data from .bin files in 1 second epoch .csv files (consider the Methods section).</p> <p>Participant characteristics: 10 to 16 years old students and some parents.</p> <p>Number of participants: 231 (206 adolescents + 25 adults).</p> <p>Year of the study: 2018 - 2019.</p> <p>Place of the study: New Caledonia.</p> <p>The accelerometer .csv files with a 1 second epoch and extracted from raw .bin files are available in open datasets:</p> <ul> <li><a title="Open dataset - first part" href="https://doi.org/10.5281/zenodo.12615468" target="_blank" rel="noopener">anonymized version - first part</a></li> <li><a title="Open dataset - second part" href="https://doi.org/10.5281/zenodo.12638746" target="_blank" rel="noopener">anonymized version - second part</a></li> <li><a title="Open dataset - third part" href="https://doi.org/10.5281/zenodo.12682660" target="_blank" rel="noopener">anonymized version - third part</a></li> </ul> <p>The accelerometer raw .bin files are available in <strong>restricted datasets</strong>:</p> <ul> <li><a title="Restricted dataset - first part" href="https://doi.org/10.5281/zenodo.11594645" target="_blank" rel="noopener">non-anonymized version - first part</a></li> <li><a title="Restricted dataset - second part" href="https://doi.org/10.5281/zenodo.12638965" target="_blank" rel="noopener">non-anonymized version - second part</a></li> <li><a title="Restricted dataset - third part" href="https://doi.org/10.5281/zenodo.12661429" target="_blank" rel="noopener">non-anonymized version - third part</a></li> </ul> <p>Other participant characteristics (age, place of living, cultural community and socio-economic status) are available in a <a title="Information associated with GENEActiv accelerometer files collected during the project entitled "Cultures et comportements alimentaires de la jeunesse dans les pays francophones du Pacifique au XXIème siècle: exemple de la Nouvelle-Calédonie" [en: "Eating cultures and behaviors of young people in French-speaking Pacific countries in the 21st century: the example of New Caledonia"] (non-anonymized information version)" href="https://doi.org/10.5281/zenodo.12195186" target="_blank" rel="noopener">restricted non-anonymized dataset</a>.</p> <p>When using this dataset, please cite the following reference:<br><a title="Wattelez et al. 2025" href="https://doi.org/10.1016/j.dib.2024.111228" target="_blank" rel="noopener">G. Wattelez, S. Frayon, O. Galy, Assessing physical activity/behavior of adolescents living in the Pacific with accelerometer data: 231 GENEActiv records in New Caledonia, Data in Brief 58 (2025) 111228, doi: 10.1016/j.dib.2024.111228</a></p>
Data for: From individual behaviors to collective outcomes: fruiting body formation in Dictyostelium as a group-level phenotype
<p>Collective phenotypes, which arise from the interactions among individuals, can be important for the evolution of higher levels of biological organization. However, how a group's composition determines its collective phenotype remains poorly understood. When starved, cells of the social amoeba <em>Dictyostelium discoideum</em> cooperate to build a multicellular fruiting body, and the morphology of the fruiting body is likely advantageous to the surviving spores. We assessed how the number of strains, as well as their genetic and geographic relationships to one another, impact the group's morphology and productivity. We find that some strains consistently enhance or detract from the productivity of their groups, regardless of the identity of the other group members. We also detect extensive pairwise and higher-order genotype interactions, which collectively have a large influence on the group phenotype. Whereas previous work in <em>Dictyostelium</em> has focused almost exclusively on whether spore production is equitable when strains cooperate to form multicellular fruiting bodies, our results suggest a previously unrecognized impact of chimeric co-development on the group phenotype. Our results demonstrate how interactions among members of a group influence collective phenotypes and how group phenotypes might in turn impact selection on the individual.</p>
Dataset for the collected responses for the items measuring constructs affecting eHS non-acceptance behavior in Nigeria
<p>This dataset is a collection of responses from the questionnaire distributed to study the e-health service non-acceptance behavior prominent in Nigeria. A total of 543 valid responses were collected. This research used an integration model based on TPB and SOR theory The dataset were analysed using PLS-SEM. Refer to the article for the results of this study.<br><br></p> <p><strong>Note:</strong> CO = Communication overload; CHO = Choice overload; PR = Perceived oisk; HL = Health literacy; NA = Negative attitude; SN = Subjective norms; PBC = Perceived behavioral control; INTU = Intention not to use eHS; NAB = Non-acceptance behavior</p>
Collective behavior diverges independently of the benthic-limnetic axis in stickleback
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Data for: From individual behaviors to collective outcomes: fruiting body formation in Dictyostelium as a group-level phenotype
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Behavioral datasets of wandering albatrosses collected at Possession Island, Crozet, France, in 2019 and 2020
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Data from: Ant collective behavior is heritable and shaped by selection
Collective behaviors are widespread in nature and usually assumed to be strongly shaped by natural selection. However, the degree to which variation in collective behavior is heritable and has fitness consequences -- the two prerequisites for evolution by natural selection -- is largely unknown. We used a new pharaoh ant ( Monomorium pharaonis ) mapping population to estimate the heritability, genetic correlations, and fitness consequences of three collective behaviors (foraging, aggression, and exploration) as well as body size, sex ratio, and caste ratio. Heritability estimates for the collective behaviors were moderate, ranging from 0.17 to 0.32, but lower than our estimates for the heritability of caste ratio, sex ratio, and the body size of new workers, queens, and males. Moreover, variation among colonies in collective behaviors was phenotypically correlated, suggesting that selection may shape multiple colony collective behaviors simultaneously. Finally, we found evidence for directional selection that was similar in strength to estimates of selection in natural populations. Altogether, our study begins to elucidate the genetic architecture of collective behavior and is one of the first studies to demonstrate that it is shaped by selection.
Raw onboard logs for "Evolution of Collective Behaviors for a Real Swarm of Aquatic Surface Robots"
<p>This raw data archive includes the onboard logs from the swarm of aquatic robots used to produce the paper Evolution of Collective Behaviors for a Real Swarm of Aquatic Surface Robots by M. Duarte et al. (2016).</p> <p>See readme.txt for more details.</p>
Behavioral flexibility in solitary foraging ants: how experience, colony size and food distribution shape individual and collective performance
<p>To deal with the unpredictability of available food resources, animals must adjust their behavior to optimize foraging efficiency. Various mechanisms can influence an individual’s food acquisition behaviour, and thus our knowledge of their combined impact on foraging efficiency remains limited. In this study, we conducted laboratory experiments with seven colonies of the solitary foraging ant Dinoponera quadriceps. Foragers were individually observed in semi-controlled experiments where food was offered in aggregated or dispersed distributions. During the experiments, individual participation was voluntary (i.e. ants were free to enter or not the experimental arena), giving us an opportunity to assess internal processes such as motivation. Besides, behavioral traits such as foraging activity, exploration of food patches, and performance were recorded across repeated trials. We found that solitary foragers of D. quadriceps were highly efficient (retrieving food in 77.38% of the trips), especially when exploiting aggregated and abundant food resources. However, individual foraging success declined when more conspecific foragers were present and with longer foraging experience. Foragers increased their exploration levels in environments with larger numbers of dispersed prey items. Individual foraging activity was higher with more experience and in smaller colonies with fewer foragers. Furthermore, foragers and colonies exhibited low but consistent differences in levels of activity, exploration, and success rates. These findings provide a comprehensive view of how different factors combine to give rise to complex behaviors such as foraging. Additionally, they emphasize the importance of individual traits for effective task performance within social groups, an understudied topic.</p>
Data from: Delegation to artificial agents fosters prosocial behaviors in the collective risk dilemma
<p>Home assistant chat-bots, self-driving cars, drones or automated negotiation systems are some of the several examples of autonomous (artificial) agents that have pervaded our society. These agents enable the automation of multiple tasks, saving time and (human) effort. However, their presence in social settings raises the need for a better understanding of their effect on social interactions and how they may be used to enhance cooperation towards the public good, instead of hindering it. To this end, we present an experimental study of human delegation to autonomous agents and hybrid human-agent interactions centered on a non-linear public goods dilemma with uncertain returns in which participants face a collective risk. Our aim is to understand experimentally whether the presence of autonomous agents has a positive or negative impact on social behaviour, equality and cooperation in such a dilemma. Our results show that cooperation and group success increases when participants delegate their actions to an artificial agent that plays on their behalf. Yet, this positive effect is less pronounced when humans interact in hybrid human-agent groups, where we mostly observe that humans in successful hybrid groups make higher contributions earlier in the game. Also, we show that participants wrongly believe that artificial agents will contribute less to the collective effort. In general, our results suggest that delegation to autonomous agents has the potential to work as commitment devices, which prevent both the temptation to deviate to an alternate (less collectively good) course of action, as well as limiting responses based on betrayal aversion.</p>
Information associated with GENEActiv accelerometer files collected during the project entitled "Cultures et comportements alimentaires de la jeunesse dans les pays francophones du Pacifique au XXIème siècle: exemple de la Nouvelle-Calédonie" [Eng: "Eating cultures and behaviors of young people in French-speaking Pacific countries in the 21st century: the example of New Caledonia"] (non-anonymized information)
<p>Additional restricted participant characteristics of the following datasets:</p> <ul> <li><a title="GENEActiv accelerometer files collected during the project entitled "Cultures et comportements alimentaires de la jeunesse dans les pays francophones du Pacifique au XXIème siècle: exemple de la Nouvelle-Calédonie" (non-anonymized version - first part)" href="https://doi.org/10.5281/zenodo.11594645" target="_blank" rel="noopener">GENEActiv accelerometer files collected during the project entitled "Cultures et comportements alimentaires de la jeunesse dans les pays francophones du Pacifique au XXIème siècle: exemple de la Nouvelle-Calédonie" [en: "Eating cultures and behaviors of young people in French-speaking Pacific countries in the 21st century: the example of New Caledonia"] (non-anonymized version - first part)</a></li> <li><a title="GENEActiv accelerometer files collected during the project entitled "Cultures et comportements alimentaires de la jeunesse dans les pays francophones du Pacifique au XXIème siècle: exemple de la Nouvelle-Calédonie" (non-anonymized version - second part)" href="https://doi.org/10.5281/zenodo.12638965" target="_blank" rel="noopener">GENEActiv accelerometer files collected during the project entitled "Cultures et comportements alimentaires de la jeunesse dans les pays francophones du Pacifique au XXIème siècle: exemple de la Nouvelle-Calédonie" [en: "Eating cultures and behaviors of young people in French-speaking Pacific countries in the 21st century: the example of New Caledonia"] (non-anonymized version - second part)</a></li> <li><a title="GENEActiv accelerometer files collected during the project entitled "Cultures et comportements alimentaires de la jeunesse dans les pays francophones du Pacifique au XXIème siècle: exemple de la Nouvelle-Calédonie" (non-anonymized version - third part)" href="https://doi.org/10.5281/zenodo.12661429" target="_blank" rel="noopener">GENEActiv accelerometer files collected during the project entitled "Cultures et comportements alimentaires de la jeunesse dans les pays francophones du Pacifique au XXIème siècle: exemple de la Nouvelle-Calédonie" [en: "Eating cultures and behaviors of young people in French-speaking Pacific countries in the 21st century: the example of New Caledonia"] (non-anonymized version - third part)</a></li> <li><a title="GENEActiv accelerometer files collected during the project entitled "Cultures et comportements alimentaires de la jeunesse dans les pays francophones du Pacifique au XXIème siècle: exemple de la Nouvelle-Calédonie" (anonymized version - first part)" href="https://doi.org/10.5281/zenodo.12615468" target="_blank" rel="noopener">GENEActiv accelerometer files collected during the project entitled "Cultures et comportements alimentaires de la jeunesse dans les pays francophones du Pacifique au XXIème siècle: exemple de la Nouvelle-Calédonie" [en: "Eating cultures and behaviors of young people in French-speaking Pacific countries in the 21st century: the example of New Caledonia"] (anonymized version - first part)</a></li> <li><a title="GENEActiv accelerometer files collected during the project entitled "Cultures et comportements alimentaires de la jeunesse dans les pays francophones du Pacifique au XXIème siècle: exemple de la Nouvelle-Calédonie" (anonymized version - second part)" href="https://doi.org/10.5281/zenodo.12638746" target="_blank" rel="noopener">GENEActiv accelerometer files collected during the project entitled "Cultures et comportements alimentaires de la jeunesse dans les pays francophones du Pacifique au XXIème siècle: exemple de la Nouvelle-Calédonie" [en: "Eating cultures and behaviors of young people in French-speaking Pacific countries in the 21st century: the example of New Caledonia"] (anonymized version - second part)</a></li> <li><a title="GENEActiv accelerometer files collected during the project entitled "Cultures et comportements alimentaires de la jeunesse dans les pays francophones du Pacifique au XXIème siècle: exemple de la Nouvelle-Calédonie" (anonymized version - third part)" href="https://doi.org/10.5281/zenodo.12682660" target="_blank" rel="noopener">GENEActiv accelerometer files collected during the project entitled "Cultures et comportements alimentaires de la jeunesse dans les pays francophones du Pacifique au XXIème siècle: exemple de la Nouvelle-Calédonie" [en: "Eating cultures and behaviors of young people in French-speaking Pacific countries in the 21st century: the example of New Caledonia"] (anonymized version - third part)</a></li> </ul> <p>Participant characteristics: 10 to 16 years old students (n = 206) and parents (n = 25).</p> <p>Number of participants: 231.</p> <p>Year of the study: 2018 - 2019.</p> <p>Place of the study: New Caledonia.</p> <p>When using this dataset, please cite the following reference:<br><a title="Wattelez et al. 2025" href="https://doi.org/10.1016/j.dib.2024.111228" target="_blank" rel="noopener">G. Wattelez, S. Frayon, O. Galy, Assessing physical activity/behavior of adolescents living in the Pacific with accelerometer data: 231 GENEActiv records in New Caledonia, Data in Brief 58 (2025) 111228, doi: 10.1016/j.dib.2024.111228</a></p>
Molecular-scale substrate anisotropy, crowding, and division drive collective behaviors in cell monolayers
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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.