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48 results for “social contact data”

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dryad28/100

Data from: We'll meet again: revealing distributional and temporal patterns of social contact

What are the dynamics and regularities underlying social contact, and how can contact with the people in one's social network be predicted? In order to characterize distributional and temporal patterns underlying contact probability, we asked 40 participants to keep a diary of their social contacts for 100 consecutive days. Using a memory framework previously used to study environmental regularities, we predicted that the probability of future contact would follow in systematic ways from the frequency, recency, and spacing of previous contact. The distribution of contact probability across the members of a person's social network was highly skewed, following an exponential function. As predicted, it emerged that future contact scaled linearly with frequency of past contact, proportionally to a power function with recency of past contact, and differentially according to the spacing of past contact. These relations emerged across different contact media and irrespective of whether the participant initiated or received contact. We discuss how the identification of these regularities might inspire more realistic analyses of behavior in social networks (e.g., attitude formation, cooperation).

opencc-zeroDec 2013View details →
dryad28/100

Data associated with Balasubramaniam, Beisner et al. (PeerJ, 2016): "Social buffering and contact transmission: Network connections have beneficial and detrimental effects on Shigella infection risk among captive rhesus macaques"

Open the record for dataset details and reuse information.

publicSep 2016View details →
dryad28/100

Data from: Social contact patterns can buffer costs of forgetting in the evolution of cooperation

Open the record for dataset details and reuse information.

publicJun 2018View details →
dryad28/100

Data from: We'll meet again: revealing distributional and temporal patterns of social contact

Open the record for dataset details and reuse information.

publicJan 2015View details →
zenodo24/100

Social contact data for Vietnam

<p>Social contact dataset for Vietnam</p>

opencc-by-nc-nd-4.0Dec 2017View details →
zenodo24/100

Social contact data for Hong Kong

<p>Social contact data for Hong Kong.</p>

opencc-by-nc-nd-4.0Feb 2018View details →
zenodo24/100

Social contact data for UK

<p>Social contact data for UK</p>

opencc-by-nc-nd-4.0Sep 2018View details →
zenodo24/100

CoMix social contact data for Switzerland (2021-2022)

<p><a href="https://www.uhasselt.be/en/aparte-sites-partner-en/epipose/the-comix-study">CoMix</a> is a social contact survey that followed households across Europe throughout the COVID-19 pandemic (<a href="https://doi.org/10.1186/s12916-021-02133-y">Verelst et al., 2021</a>). In Switzerland, we conducted a total of 24 survey waves from 22 January 2021 to 19 May 2022. The market research company Ipsos MORI recruited a nationally representative sample of study participants using quota sampling based on age, gender, region, and work status through a combination of social media, web advertising, and email campaigns. The survey included adults aged 18 or above and parents (at least 18 years old) who completed the surveys on behalf of their children (&lt;18 years old). For parents, quotas were set on region only.&nbsp;</p><p>Participants reported their social contacts made on the day prior to survey participation. A contact was defined as anyone who met the participant in person with whom at least a few words were exchanged or physical contact was made. The design of the survey is largely based on the POLYMOD study (<a href="https://doi.org/10.1371/journal.pmed.0050074">Mossong et al., 2008</a>). Further details about the study design and methodology have been published elsewhere (<a href="https://doi.org/10.1186/s12916-021-02133-y">Verelst et al., 2021</a>; <a href="https://doi.org/10.1186/s12879-023-08214-y">Wong et al., 2022</a>).</p>

restrictedcc-by-4.0Nov 2023View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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