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A robust method for the measurement of social reward in adult mice
<p>Dataset contains four files.</p> <p><strong>File 1. Harda_et_al._2022_all_data.xlsx</strong></p> <p>All data used in the publication. Results of the social conditioned place preference test perofmed on adult female laboratory mice (strain: C57BL/6).</p> <p><strong>File 2. Harda_et_al._2022_initial_pref_30_70%.xls</strong></p> <p>All data contained in File 1, except for animals that showed initial preference for any of the contexts exceeding 70%.</p> <p><strong>File 3. Harda_et_al._2022_initial_pref_30_70%_trimmed.xlsx</strong></p> <p>Data contained in File 2, randomly trimmed to the same number of animals for each social context. Trimming was performed separately for each experimental group. Data were trimmed by custom R script (File 4).</p> <p><strong>File 4. trimmer.R</strong></p> <p>R script used to randomly trimm data to the same number of animals for each social context.</p>
Group and individual social network metrics are robust to changes in resource distribution in experimental populations of forked fungus beetles
<p>Social interactions drive many important ecological and evolutionary processes. It is therefore essential to understand the intrinsic and extrinsic factors that underlie social patterns. A central tenet of the field of behavioral ecology is the expectation that the distribution of resources shapes patterns of social interactions.</p> <p>We combined experimental manipulations with social network analyses to ask how patterns of resource distribution influence complex social interactions.</p> <p>We experimentally manipulated the distribution of an essential food and reproductive resource in semi-natural populations of forked fungus beetles (Bolitotherus cornutus). We aggregated resources into discrete clumps in half of the populations and evenly dispersed resources in the other half. We then observed social interactions between individually marked beetles. Half-way through the experiment, we reversed the resource distribution in each population, allowing us to control any demographic or behavioral differences between our experimental populations. At the end of the experiment, we compared individual and group social network characteristics between the two resource distribution treatments.</p> <p>We found a statistically significant but quantitatively small effect of resource distribution on individual social network position and detected no effect on group social network structure. Individual connectivity (individual strength) and individual cliquishness (local clustering coefficient) increased in environments with clumped resources, but this difference explained very little of the variance in individual social network position. Individual centrality (individual betweenness) and measures of overall social structure (network density, average shortest path length, and global clustering coefficient) did not differ between environments with dramatically different distributions of resources.</p> <p>Our results illustrate that the resource environment, despite being fundamental to our understanding of social systems, does not always play a central role in shaping social interactions. Instead, our results suggests that sex differences and temporally fluctuating environmental conditions may be more important in determining patterns of social interactions.</p>
Datasample - Social Media Analytics and Metrics of Facebook Performance of Libraries, Archives and Museums
<p>The current dataset describes Facebook pages performance for 220 Libraries, Archives and Museums from all over the world. The performance is measured through 9 different social media metrics. That is, number of posts, link-posts, picture-posts, video-posts, total reactions, comments and shares, number of reactions, comments per post and reactions per post. The data harvesting process has been conducted through the use of FanPageKarma API. The gathered metrics and their values depict the performance for each Facebook page in a time-period of 30 days.</p>
Spatiotemporal checkins with social connections
<ul> <li><strong>Introduction</strong></li> </ul> <p>These three datasets are used in the analysis of human mobility research paper [1]. For each dataset, there are checkins info and friendshio info, </p> <ol> <li>Brightkite: "brightkite_checkins.csv" and "brightkite_friends.csv".</li> <li>Gowalla: "gowalla_checkins.csv" and "gowalla_friends.csv".</li> <li>Weeplaces: "weeplace_checkins.csv" and "weeplace_friends.csv"</li> </ol> <p> </p> <ul> <li><strong>Basic Description </strong></li> </ul> <p><em>BrightKite</em> [2] is a LBSN service provider that allowed registered users to connect with their existing social ties and also meet new people based on the places that they go. Once a user "checked in" at a place, they could post notes and photos to a location and other users could comment on those posts. The social relationship network was collected using their public API. The raw dataset is from SNAP <a href="https://snap.stanford.edu/data/loc-brightkite.html">https://snap.stanford.edu/data/loc-brightkite.html</a>.<br> </p> <p><em>Gowalla</em> [2] is a LBSN website where users share their locations by checking-in. In early versions of the service, users would occasionally receive a virtual "Item" as a bonus upon checking in, and these items could be swapped or dropped at other spots. Users became "Founders" of a spot by dropping an item there. This incentivises users to create new check-ins, not necessarily to check-in consistently at frequently visited locations. The social relationship network is undirected and was collected using their public API. The raw dataset is from SNAP <a href="https://snap.stanford.edu/data/loc-gowalla.html">https://snap.stanford.edu/data/loc-gowalla.html</a>.<br> <br> <em>Weeplaces</em> --This is collected from Weeplaces and integrated with the APIs of other LBSN services, e.g., Facebook Places, Foursquare, and Gowalla. Users can login Weeplaces using their LBSN accounts and connect with their social ties in the same LBSN who have also used this application. Weeplaces visualizes your check-ins on a map. Unlike Gowalla, there is no direct incentive in Weeplaces to alter one's visitation habits or check-ins, so there should be a more accurate representation of a regular person's mobility patterns.<br> The raw dataset is from the website <a href="https://www.yongliu.org/datasets/">https://www.yongliu.org/datasets/</a>.</p> <p> </p> <p>More details can be found in the data description of paper [1].</p> <p> </p> <ul> <li><strong>Reference</strong></li> </ul> <p>[1] Chen, Z., Kelty, S., Welles, B.F., Bagrow, J.P., Menezes, R. and Ghoshal, G., 2021. Contrasting social and non-social sources of predictability in human mobility. <em>arXiv preprint arXiv:2104.13282</em>.</p> <p>[2] Cho, Eunjoon, Seth A. Myers, and Jure Leskovec. "Friendship and mobility: user movement in location-based social networks." In <em>Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining</em>, pp. 1082-1090. 2011.</p> <p> </p> <ol> </ol> <p> </p> <p> </p>
Opinion dynamics in social network under competition: the role of influencing factors in consensus reaching
<p>The profitability of opinion and the finiteness of individual attention have already spawned the extensive competition for individual preferences on social networks. It's quite necessary to investigate the opinion dynamics over social networks in a competitive environment. To this point, this paper develops a novel social network DeGroot model based on competition game (DGCG) to characterize the opinion evolution in a competitive opinion dynamics. Based on the DGCG model, we obtain equilibrium results in the stable state of opinion evolution. Consecutively, we analyze what role relevant factors play in the final consensus and competitive outcomes, including the resource ratio of both contestants, initial opinions and network structure. Theoretical analyses and simulation experiments show that these factors can significantly sway the consensus and even reverse competition outcomes.</p>
Social contact data for Taiwan
<p>Social contact data for Taiwan, based on a national survey conducted in 2010</p>
A comprehensive dataset of the Spanish research output and its associated social media and altmetric mentions (2016-2020)
<p>Data on research publications authored by Spanish institutions between 2016 and 2020 with their associated social media and altmetric mentions, and on researchers affiliated to Spanish institutions whose work is highly mentioned in social media and non-academic outlets.</p> <p>Variables of the publications dataset:</p> <ul> <li><strong>id</strong> - Unique publication identifier</li> <li><strong>title</strong> - Full title of the publication</li> <li><strong>year</strong> - Year of publication</li> <li><strong>type</strong> - Document type</li> <li><strong>journal</strong> - Name of the journal</li> <li><strong>esi</strong> - ESI category of the publication</li> <li><strong>influscore</strong> - AAS value on March 3, 2021</li> <li><strong>news</strong> - Number of mentions in news media</li> <li><strong>blogs</strong> - Number of mentions in blogs</li> <li><strong>policy</strong> - Number of mentions in policy reports</li> <li><strong>patent</strong> - Number of mentions in patent</li> <li><strong>twitter</strong> - Number of mentions in Twitter</li> <li><strong>post_peer</strong> - Number of mentions in PubPeer and Publons</li> <li><strong>weibo</strong> - Number of mentions in Weibo</li> <li><strong>facebook</strong> - Number of mentions in Facebook</li> <li><strong>wikipedia</strong> - Number of mentions in Wikipedia</li> <li><strong>google</strong> - Number of mentions in Google+</li> <li><strong>linkedin</strong> - Number of mentions in LinkedIn</li> <li><strong>reddit</strong> - Number of mentions in Reddit</li> <li><strong>pinterest</strong> - Number of mentions in Pinterest</li> <li><strong>f1000</strong> - Number of mentions in F1000</li> <li><strong>stack_overflow</strong> - Number of mentions in Stack Overflow</li> <li><strong>youtube</strong> - Number of mentions in YouTube</li> <li><strong>syllabus</strong> - Number of mentions in Open Syllabus Project</li> </ul> <p>Variables of the top authors dataset:</p> <ul> <li><strong>name</strong> - Full name of the researcher</li> <li><strong>orcid</strong> - ORCID record</li> <li><strong>organization</strong> - Name of the institution of affiliation</li> <li><strong>publications</strong> - List of publication identifiers (id) connecting with the publications dataset</li> </ul>
Social polyandry shapes sperm morphology
<p>Sexual selection is a major driver of trait variation, and the intensity of male competition for mating opportunities has been linked with sperm size across diverse taxa. Mating competition among females may also shape the evolution of sperm traits, but the interplay between female-female competition and male-male competition on sperm morphology is not well understood. We evaluated variation in sperm morphology in two species with socially polyandrous mating systems, in which females compete to mate with multiple males. Northern jacanas (<em>Jacana spinosa</em>) and wattled jacanas (<em>J. jacana</em>) vary in their degree of polyandry and sexual dimorphism, suggesting species differences in the intensity of sexual selection. We compared mean and variance in sperm head, midpiece, and tail length between species and breeding stages, because these measures have been associated with the intensity of sperm competition. We found that the species with greater polyandry, northern jacana, has sperm with longer midpieces and tails, as well as marginally lower intra-ejaculate variation in tail length. Intra-ejaculate variation was also significantly lower in copulating males than in incubating males, suggesting flexibility in sperm production as males cycle between breeding stages. Our results indicate that stronger female-female competition for mating opportunities may also shape more intense male-male competition by selecting for longer and less variable sperm traits. These findings extend frameworks developed in socially monogamous species to reveal that sperm competition may be an important evolutionary force layered atop female-female competition for mates.</p>
Data from: Let's stick together: infection enhances preferences for social settings in a songbird species
<p>Acute infections can alter foraging and movement behaviours relevant to sociality and pathogen spread. However, few studies have examined how infection with directly-transmitted pathogens influences host social preferences. Juvenile house finches are gregarious and particularly susceptible to infection by the bacterial pathogen <em>Mycoplasma gallisepticum</em> (MG). Changes in sociality during infection are likely to have important consequences for MG transmission throughout majority-juvenile flocks, but it remains unknown how infection influences sociality in house finches. To test this, we inoculated 33 wild-caught juvenile house finches with MG or media (sham control). At peak infection, birds were given a choice assay to assess preference for associating near a flock versus an empty cage. Infected birds were significantly more likely than controls to spend time near the flock while eating, and marginally so while perching. These results indicate augmented social preferences during infection, potentially as a form of behavioural tolerance. Notably, infected birds showed strong social preferences regardless of individual variation in disease severity or pathogen loads, with 14/19 harbouring high loads (log10 5-6) at time of assay. Overall, our results show that infection with a directly-transmitted pathogen can augment social preferences, with potential implications for MG spread in natural populations.</p>
Social information use about novel aposematic prey depends on the intensity of the observed cue
<p>Animals gather social information by observing the behavior of others, but how the intensity of observed cues influences decision-making is rarely investigated. This is crucial for understanding how social information influences ecological and evolutionary dynamics. For example, observing a predator's distaste of unpalatable prey can reduce predation by naïve birds, and help explain the evolution and maintenance of aposematic warning signals. However, previous studies have only used demonstrators that responded vigorously, showing intense beak-wiping after tasting prey. Therefore, here we conducted an experiment with blue tits (<em>Cyanistes caeruleus</em>) informed by variation in predator responses. First, we found that the response to unpalatable food varies greatly, with only few individuals performing intensive beak-wiping. We then tested how the intensity of beak-wiping influences observers' foraging choices using video-playback of a conspecific tasting a novel conspicuous prey item. Observers were provided social information from: (1) no distaste response, (2) a weak distaste response, or (3) a strong distaste response, and were then allowed to forage on evolutionarily novel (artificial) prey. Consistent with previous studies, we found that birds consumed fewer aposematic prey after seeing a strong distaste response, however a weak response did not influence foraging choices. Our results suggest that while beak-wiping is a salient cue, its information content may vary with cue intensity. Furthermore, the number of potential demonstrators in the predator population might be lower than previously thought, although determining how this influences social transmission of avoidance in the wild will require uncovering the effects of intermediate cue salience.</p>
Dataset, statistical analysis code, and supplementary material of juvenile ravens' responses towards acoustic cues of different social categories
<p>Social competence i.e., defined as the ability to adjust the expression of social behaviour to the available social information, is known to be influenced by early-life conditions. Brood size might be one of the factors determining such early conditions, particularly in species with extended parental care. We here tested in ravens, whether growing up in families of different sizes affects the chicks' responsiveness to social information. We experimentally manipulated the brood size of 20 captive raven families, creating either small or large families. Simulating dispersal, juveniles were separated from their parents and temporarily housed in one of two captive non-breeder groups. After five weeks of socialization, each raven was individually tested in a playback setting with food-associated calls from three social categories: sibling, familiar unrelated raven they were housed with, and unfamiliar unrelated raven from the other non-breeder aviary. We found that individuals reared in small families were more attentive than birds from large families, in particular towards the familiar unrelated peer. These results indicate that variation in family size during upbringing can affect how juvenile ravens value social information. Whether the observed attention patterns translate into behavioural preferences under daily life conditions remains to be tested in future studies.</p>
CoMix social contact data (Lithuania)
<p>CoMix social contact data for Lithuania.</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 Marija Jakubauskiene at Vilnius University.</p>
CoMix social contact data (Finland)
<p>CoMix social contact data for Finland.</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 Kari Auranen at the Finnish Institute for Health and Welfare (THL).</p>
CoMix social contact data (Slovakia)
<p>CoMix social contact data for Slovakia.</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 Henrieta Hudečková at Comenius University in Bratislava.</p>
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>
Dataset for paper titled: Conceptual preferences can be transmitted via selective social information use between competing wild bird species
<p><a name="_Hlk66629591"></a><span>Concept learning is considered a high-level adaptive ability. Thus far, it has been studied in laboratory via asocial trial and error learning. Yet, social information use is common among animals but it remains unknown whether concept learning by observing others occurs. We tested whether pied flycatchers (</span><em><span>Ficedula hypoleuca</span></em><span>) form conceptual relationships from the apparent choices of nest-site characteristics (geometric symbol attached to the nest box) of great tits (</span><em><span>Parus major</span></em><span>). Each wild flycatcher female (n = 124) observed one tit pair that exhibited an apparent preference for either a large or a small symbol and was then allowed to choose between two nest boxes with a large and a small symbol, but the symbol shape was different to that on the tit nest. Older flycatcher females were more likely to copy the symbol size preference of tits than yearling flycatcher females when there was a high number of visible eggs or a few partially visible eggs in the tit nest. However, this depended on the phenotype; copying switched to rejection as a function of increasing body size. Possibly the quality of and overlap in resource use with the tits affected flycatchers' decisions. Hence, our results suggest that conceptual preferences can be horizontally transmitted across co-existing animals, which may increase the performance of individuals that utilize concept learning abilities in their decision-making.</span></p>
Centros municipales de Servicios Sociales
<p>Relación de <strong>Centros Municipales de Servicios Sociales</strong> (C.M.S.S.) dependientes del Ayuntamiento de Zaragoza. Son los equipamientos básicos de la Red municipal de Servicios Sociales Comunitarios, soporte de las prestaciones básicas con las que atender las necesidades sociales de la población.</p> <p>El Ayuntamiento de Zaragoza pone a disposición una visualización en la que se muestran datos sobre los puntos de Centros Municipales de Servicios Sociales. El conjunto de datos contiene información de localización (dirección, código postal, latitud y longitud), contacto (email y teléfono), horario y url a la web de cada centro.</p> <p><a href="https://www.zaragoza.es/sede/servicio/catalogo/2666">Acceso a la ficha descriptiva del dataset</a></p>
Centros de Día de los Servicios Sociales
<p>Este conjunto de datos incluye un directorio con los datos de los <strong>Centros de Día</strong> de Zaragoza.</p> <p>El Ayuntamiento de Zaragoza pone a disposición una visualización en la que se muestran datos sobre Centros de Día. El conjunto de datos contiene información de localización (dirección, código postal, latitud y longitud), contacto (email y teléfono), horario y url a la web de cada centro.</p> <p><a href="https://www.zaragoza.es/sede/servicio/catalogo/2687">Acceso a la ficha descriptiva del dataset</a></p>
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.