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71 results for “social contact”
CoMix social contact data (Hungary)
<p>CoMix social contact data for Hungary.</p> <p>We gratefully acknowledge the efforts of all teams involved in the implementation of the CoMix study in their country. More specifically: the team of Gergely Röst at the University of Szeged.</p>
CoMix social contact data (Switzerland)
<p>CoMix social contact data for Switzerland.</p> <p>We gratefully acknowledge the efforts of all teams involved in the implementation of the CoMix study in their country. More specifically: he team of Nicola Low at the University of Bern.</p>
CoMix social contact data (Austria)
<p>CoMix social contact data for Austria.</p> <p>We gratefully acknowledge the efforts of all teams involved in the implementation of the CoMix study in their country. More specifically: the team of Andrea Schmidt at the Austrian National Public Health Institute.</p>
CoMix social contact data (UK)
<p>CoMix dataset for the UK.<br><br>Additional Fundings:</p> <p>Medical Research Council (MC_PC_19065), National Institute of Health Research (CV220-088 - COMIX and NIHR200908).<br><br>Change log for V3: data up to March 2022.<br><br>Change log for V4: added information on testing status and self-reported symptoms of participants.</p>
Social contact data for Zimbabwe
<p>Social contact data for Zimbabwe. In this study, participants reported all the contacts that they had and where they<br> spent their time during two consecutive, randomly assigned, days.</p>
Social network structure is robust to parasite induced changes in contact behavior of domestic sheep
<p>Understanding how parasitism may affect social behavior and social networks is key to understanding the impact of infection on a population. Infection can disrupt social networks by altering the behavior of both infected individuals (e.g. by reducing activity) and the behavior of uninfected individuals (e.g. avoiding sick individuals), both of which can <span>have an impact on social group dynamics and parasite transmission</span>. Here we test experimentally how parasitism affects social contact behavior and social network structure using a common parasite infection of sheep. Three treatment groups, each with 4 replicate social groups were established (i) Parasitised; all lambs were infected with a parasitic nematode, (ii) Non-parasitised; all lambs remained uninfected (iii) Mixed; part of each group were infected, and part of the group remained uninfected. Contact behaviours of each individual were recorded using proximity loggers during four phases of infection (pre-parasite, pre-patent, patent-parasite, post-parasite). We found infected individuals in the parasitised and mixed groups reduced contact frequency following infection. Infected individuals in mixed groups however reduced contact frequency to a greater extent than infected animals in the fully parasitised group. D<span>espite the reduction in contacts between infected animals in the mixed group, the social network structure was unaffected, as non-infected individuals maintained pre-parasite levels of social interactions with their infected conspecifics. </span><span>These results demonstrate </span>how infection can impact the social behavior of all animals within a group, and how the expression of behavioral change may depend on the parasitic status of all group members and the response of uninfected conspecifics.</p>
Russian social contact data relative to reactive school closure policies
<p>The dataset consists of individual contact diaries collected in Tomsk, Russia, in 2016. The dataset contains contact information for both for regular school/work days and for days when classes/schools are closed as a consequence of a reactive school closure strategy.<br> <br> This record consists of the dataset associated with M. Litvinova, Q.-H. Liu, E. S. Kulikov, M. Ajelli, Reactive school closure weakens the network of social interactions and reduces the spread of influenza. PNAS, 116(27):13174-13181, 2019.</p>
Social contact data for the BHDSS and FWHDSS in the Gambia (2022)
<p>Social contact data for people in the <span>Basse and Fuladu West Health and Demographic Surveillance Systems</span> (BHDSS and FWDHSS) in the Gambia. Participants reported all their direct contacts in the 24 hours preceding the survey. This survey was conducted in 2022. Data is formatted to be used in the <em>socialmixr</em> package in <em>R</em>.</p> <p>Note, for a subset of school-going participants, school contacts were observed in the classroom for a two hour period. The list of participants needs to be filtered accordingly to ensure the correct denominators are applied when calculating contact rates.</p>
Dataset of the article: "The social dimension of equine welfare: social contact positively affects the emotional state of stalled horses"
<p>Here are the data used in the analyses of the manuscript "The social dimension of equine welfare: social contact positively affects the emotional state of stalled horses.".<br>Experiment 1: Observations in the individual stall<br>Experiment 2: Observations during horse grooming<br>Experiment 3: Judgement bias test</p>
CoMix social contact data (Croatia)
<p>CoMix social contact data for Croatia.</p> <p>We gratefully acknowledge the efforts of all teams involved in the implementation of the CoMix study in their country. More specifically: the team of Goranka Petrović at the Croatian Institute of Public Health (CIPH).</p>
CoMix 2.0 social contact data
<p>CoMix social contact data collected in:<br> - Austria (at)<br> - Belgium (be)<br> - Denmark (dk)<br> - Croatia (hr)<br> - Estonia (ee)<br> - Greece (gr)<br> - Italy (it)<br> - Poland (pl)<br> - Portugal (pt)<br> Format follows the http://www.socialcontactdata.org/ guidelines.</p> <p>Questionnaire available on <a href="https://www.ecdc.europa.eu/en/publications-data/social-contact-patterns-eueea-during-covid-19-pandemic">ECDC website.</a><br> We gratefully acknowledge the efforts of all teams involved in the implementation of the CoMix study in their country. More specifically: in <strong>Austria</strong>: the team of Andrea Schmidt at the Austrian National Public Health Institute, in <strong>Croatia</strong>: the team of Goranka Petrović at the Croatian Institute of Public Health (CIPH), in <strong>Denmark</strong>: the team of Michael Bang Petersen at Aarhus University, in <strong>Estonia</strong>: the team of Sigrid Vorobjov at the National Institute for Health Development, in <strong>Greece</strong>: the team of Elpida Pavi at the University of West Attica (UniWA),in <strong>Poland</strong>: the team of Magdalena Rosinska at the National Institute of Public Health - National Institute of Hygiene, in <strong>Portugal</strong>: the team of Baltazar Nunes at the National Health Institute Doutor Ricardo Jorge (INSA), in <strong>Italy</strong>: the team of Daniela Paolotti at the ISI Foundation.<br> <br> For problems with the dataset, please contact:<br> <br> socialcontactdata@gmail.com<br> <br> Changelog for V2:<br> - Added "country" column in "participant_extra" files to allow easier sub-setting by country.<br> <br> Changelog for V3:<br> - Merged files from different countries in one file.</p>
GramAdapt Social Contact Dataset
<p>The GramAdapt Social Contact Dataset is a curated dataset of 34 language pairs from across the globe, with quantitative and qualitative data on social interaction between pairs of language communities in contact. The language pairs were sampled globally, with the intention of avoiding areal and cultural biases. The data were collected by distributing a questionnaire to experts who have experience with either one or both of the language communities. The responses are subjective expert assessments. Authors 1-3 manually checked each response for judgement of responses. This results in a dataset containing 12554 data points.</p>
Data from: Impact of hunting modality on social contacts in wild boar populations across Europe
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Social network structure is robust to parasite induced changes in contact behavior of domestic sheep
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POLYMOD social contact data
<p>This is the POLYMOD study data.</p>
Social contact data for France
<p>Social contact data for France, with a total of 1755 participants of which the same participants can be present in 2 waves (≈13%). In each wave, participants reported contacts in two consecutive days.</p>
Individual signatures outweigh social group identity in contact calls of a communally nesting parrot
Despite longstanding interest in the evolutionary origins and maintenance of vocal learning, we know relatively little about how social dynamics influence vocal learning processes in natural populations. The "social group membership" hypothesis proposes that socially learned calls evolved and are maintained as signals of group membership. However, in fission-fusion societies, individuals can interact in social groups across various social scales. For learned calls to signal group membership over multiple social scales, they must contain information about group membership over each of these scales, a concept termed "hierarchical mapping". Monk parakeets (Myiopsitta monachus), small parrots native to South America, exhibit vocal mimicry in captivity and fission-fusion social dynamics in the wild. We examined patterns of contact call acoustic similarity in Uruguay to test the hierarchical mapping assumption of the signaling group membership hypothesis. We also asked whether geographic variation patterns matched regional dialects or geographic clines that have been documented in other vocal learning species. We used visual inspection, spectrographic cross-correlation and random forests, a machine learning approach, to evaluate contact call similarity. We compared acoustic similarity across social scales and geographic distance using Mantel tests and spatial autocorrelation. We found high similarity within individuals, and low, albeit significant, similarity within groups at the pair, flock and site social scales. Patterns of acoustic similarity over geographic distance did not match mosaic or graded patterns expected in dialectal or clinal variation. Our findings suggest that monk parakeet social interactions rely more heavily upon individual recognition than group membership at higher social scales.
CoMix social contact data (Slovenia)
<p>CoMix social contact data for Slovenia.</p> <p>We gratefully acknowledge the efforts of all teams involved in the implementation of the CoMix study in their country. More specifically: the team of Petra Klepac at the National Institute of Public Health.</p>
CoMix social contact data (Spain)
<p>CoMix social contact data for Spain.</p> <p>We gratefully acknowledge the efforts of all teams involved in the implementation of the CoMix study in their country. More specifically: the team of Cristina Vilaplana at the Institute for Health Science Research Germans Trias i Pujol (IGTP) that acknowledges support from the SMA-TB Project from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 847762.</p>
A Framework for Improving Social Inclusion using Network Analysis and IoT-based Contact Tracing, Dataset and Source Code
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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.