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.
5,666
datasets available to search
ShareScore release 0.9.0
Dataset results
5,666 results for “Social”
Figure 1. E in Phylogenetic analysis of species of the neotropical social wasp Epipona Latreille, 1802 (Hymenoptera, Vespidae, Polistinae, Epiponini)
Figure 1. E. quadrituberculata, humeri, dorsal view. Scale bar = 1.0 mm. Figure 2. E. tatua, humeri, dorsal view. Scale bar = 1.0 mm. Figure 3. E. guerini, propodeal concavity, frontal view. Scale bar = 1.0 mm. Figure 4. E. tatua, propodeal cancavity, frontal view. Scale bar = 1.0 mm. Figure 5. E. quadrituberculata, Tergum I, dorsal view. Scale bar = 1.0 mm. Figure 6. E. tatua, Tergum I, dorsal view. Scale bar = 1.0 mm.
Figure 13 in Phylogenetic analysis of species of the neotropical social wasp Epipona Latreille, 1802 (Hymenoptera, Vespidae, Polistinae, Epiponini)
Figure 13. Cladogram of species of Epipona. Character numbers (see table 1) are placed above hash marks, with the state numbers below, separated by ">" to indi- cate the transitions between states. Filled hash marks indicate an uncontroverted step, while open hash marks indicate homoplastic change.
Dataset de les xarxes socials de les biblioteques de Lleida
<p>Dataset de les xarxes socials de les província de Leida. Aquest dataset va ser recollit al febrer de 2020 per presentar el treball de fi de grau de Carina Mirassó. Els camps que conté aquest fitxer són:</p> <ul> <li>Comarca</li> <li>Biblioteca</li> <li>Twitter</li> <li>Facebook</li> <li>Instagram</li> <li>YouTube</li> <li>Linkedin</li> <li>Blog</li> <li>TikTok</li> <li>Slideshare</li> <li>Vimeo</li> <li>Web</li> <li>Spotify</li> <li>Pinterest</li> <li>Telegram</li> </ul> <p>Recordeu fer la citació corresponent si utilitzeu el dataset</p>
Social contact data for China mainland
<p>Social contact data for China mainland</p>
SMART2: Age-specific social mixing of school-aged children in a US setting using proximity detecting sensors and contact surveys
<p>To increase the evidence base supporting specific methods to measure social interaction, we compared data from self-reported contact surveys and wearable proximity sensors from a cohort of schoolchildren in the Pittsburgh metropolitan area.</p> <p> </p> <p>Enrollment in the Social Mixing and Respiratory Transmission (SMART) study operated on an opt-out basis, and all students registered in a participating school before the start of the study were eligible to participate. Students in kindergarten (typically aged 5 years) to 12<sup>th</sup> grade (typically aged 18 years) from two elementary (K to 4<sup>th</sup> grade, K to 5<sup>th</sup> grade), two middle (5<sup>th</sup> to 6<sup>th</sup> grade, 7<sup>th</sup> to 8<sup>th</sup> grade), two elementary-middle (K to 8<sup>th</sup> grade), and two high (both 9<sup>th</sup> to 12<sup>th</sup> grade) schools were eligible to participate in SMART. Participation rates were high in all schools (82 to 99%). Each school provided aggregate demographic information about the school population, and individual grade and sex of participating students.</p> <p><em>Proximity sensor deployments</em></p> <p>The details of proximity sensor deployments have been described in detail elsewhere (60). In brief, participating students were given proximity sensors in plastic pouches and instructed to wear the pouch around their neck for the duration of the school day without removing or otherwise tampering with the sensor. In six of the eight schools, all participating students were given a sensor; in two schools, the large student population limited the deployment to randomly selected classrooms in each grade. Deployments typically lasted from the first class period (08:00 – 09:00) to the last class period (14:00 – 15:00). Deployment days in each school were chosen to be representative of a typical school day, without any special schoolwide or grade-specific activities that could modify normal contact patterns.</p> <p> </p> <p>We used TelosB wireless sensors (61) programmed in the NesC language to send beacons every 20 seconds (beacon frequency 3 per minute). The receiving sensor recorded the contacting sensor’s identity, an internal time stamp, and a radio strength signal indicator (RSSI). Signal strength provided an estimate of physical proximity, but was highly dependent on the orientation of the two sensors and any obstructions between them and therefore could not be used to define an exact distance between contacts. Based on pilot studies and previous work on effective distances of respiratory virus transmission (29, 62), we chose a signal threshold (-80 dBm) that should correspond to contacts of relevance to respiratory disease transmission.</p> <p> </p> <p>The number of unique proximity sensor contacts recorded for a participant was defined as the total number of other participants with whom their proximity sensor recorded at least one interaction during each deployment. To explore patterns of contacts of varying length, we considered several values of the contact threshold, or the minimum number of recorded interactions between two proximity sensors required to be considered a unique contact. The number of interactions between any given pair of sensors was taken to be the maximum number of interactions recorded by either sensor, to account for battery failure, measurement error, or other malfunctions.</p> <p> </p> <p><em>Contact survey design</em></p> <p>Contact surveys were completed by participants in school under the supervision of project staff and teachers. Each sheet of the paper version allowed for information on up to 30 contacts to be recorded; additional sheets could be requested. Two versions were designed: one for middle- and high-school students, and a simplified version for elementary school students (although some elementary school children completed the middle- and high-school version, upon consultation with school administrators and teachers). Classrooms were randomly selected to participate from each grade, and students of several classrooms completed more than one contact survey over the course of the study period.</p> <p> </p> <p>Participants were asked to report information about any individual they talked with, played with, or touched the previous day, including the contact’s age and sex, whether they attended the same school as the participant, the context in which the contact was made, whether the contact involved direct or indirect (through a shared object) touch, and approximate duration of the contact. Students reported the total number of contacts made in the previous day, without detailed information, and additional demographic information about themselves and their household. The surveys were completed either on paper or by computer, depending on resources available in each school.</p> <p> </p> <p>We defined total survey contacts as the total number of individuals a student reported having interacted with on the day before the survey was completed. Detailed contacts were the subset of total contacts for which the student reported contact age, sex, duration, and context. We considered further subsets of detailed survey contacts, including those occurring within school, those reported to have lasted more than 10 minutes over the course of the day, and those occurring on the same day as a sensor deployment.</p> <p> </p>
Les dimensions de l'autorité dans la littérature : synthèse de 26 travaux (et 72 propositions) issus des sciences de l'éducation, de la sociologie, de la philosophie, de la psychologie et de la psychologie sociale, classés en cinq dimensions de l'autorité.
<p>Matériel électronique supplémentaire associé au texte "Modélisation de l’exercice de l’autorité dans la relation d’enseignement "</p>
Harry Potter's social network
<p>Literary works can be analysed in the framework of network theories, as proposed in 2011 by the Stanford Literary Laboratory in some of its experiments. In fact, the plot of a play or a novel can be displayed as a network of interacting characters, where the timeline of the plot is projected on a planar graph. This approach can help in highlighting some features of the literary work. Here in the image, it is shown the Harry Potter’s social network, as we can obtain from “Harry Potter and the Philosopher’s Stone” (or Sorcerer’s Stone), the J.K. Rowling's debut novel, published on 26 June 1997. A small part of the network was already proposed in [1]. In the same article, we detailed in the appendix the edges between vertices, that is the links among characters. [1] Amelia Carolina Sparavigna, On Social Networks in Plays and Novels, International Journal of Sciences 10(2013):20-25 DOI: 10.18483/ijSci.312</p>
Phylogenomics indicates Amazonia as the major source of Neotropical swarm-founding social wasp diversity
The Neotropical realm harbors unparalleled species richness and hence has challenged biologists to explain the cause of its high biotic diversity. Empirical studies to shed light on the processes underlying biological diversification in the Neotropics are focused mainly on vertebrates and plants, with little attention to the hyperdiverse insect fauna. Here, we use phylogenomic data from ultraconserved element (UCE) loci to reconstruct for the first time the evolutionary history of Neotropical swarm-founding social wasps (Hymenoptera, Vespidae, Epiponini). Using maximum likelihood, Bayesian, and species tree approaches we recovered a highly resolved phylogeny for epiponine wasps. Additionally, we estimated divergence dates, diversification rates, and the biogeographic history for these insects in order to test whether the group followed a "museum" (speciation events occurred gradually over many millions of years) or "cradle" (lineages evolved rapidly over a short time period) model of diversification. The origin of many genera and all sampled extant Epiponini species occurred during the Miocene and Plio-Pleistocene. Moreover, we detected no major shifts in the estimated diversification rate during the evolutionary history of Epiponini, suggesting a relatively gradual accumulation of lineages with low extinction rates. Several lines of evidence suggest that the Amazonian region played a major role in the evolution of Epiponini wasps. This spatio-temporal diversification pattern, most likely concurrent with climatic and landscape changes in the Neotropics during the Miocene and Pliocene, establishes the Amazonian region as the major source of Neotropical swarm-founding social wasp diversity.
A Post-separation Social Accounting Matrix for the Sudan
<p>A detailed Social Accounting Matrix for the Sudan. Data includes 57 commodity, 64 activity, 14 production factor and 10 households accounts. Currency: Sudanese Pound (SDG)</p>
Replication files for "Building social cohesion between Christians and Muslims through soccer in post-ISIS Iraq"
<p>Replication files for main analyses, and supplementary analyses (comparison group, Muslim player attitudes, fan attitudes, match-level data) for:</p> <p><strong>Mousa, Salma. </strong>"<a href="https://science.sciencemag.org/content/369/6505/866">Building social cohesion between Christians and Muslims through soccer in Post-ISIS Iraq</a>.<strong>" <em>Science</em>. </strong>Vol. 369, Issue 6505, pp. 866-870. DOI: 10.1126/science.abb3153</p> <p>Each R file describes the needed datasets at the top of the script. </p>
Social contact data for Belgium (2006)
<p>Social contact data from a two-day population survey in Belgium in 2006</p>
Pre-Print; Polarización social en tiempos del Covid-19
<p>La presente figura forma parte del artículo científico en proceso de revisión por pares: "Polarización social en tiempos del Covid-19". El artículo utilizó una metodología combinada de análisis del barómetro mensual elaborado por el CIS, Centro de Investigaciones Sociológicas, español y el análisis del discurso vertido en redes sociales,en concreto Twitter, a través del hashtag #sesióndecontrol. Durante el 28 de abril del año 2020, se tuvo la oportunidad de analizar la polarización social vertida en redes durante la sesión de control al gobierno español con ocasión de la crisis sanitaria del covid-19. En este adelanto se puede visualizar un grafo de centralidad del discurso analizado. La centralidad, o popularidad, se midió través de la herramienta de twitter; retweet. Además se distribuyó el grafo por familias ideológicas donde pudo medirse el grado de implicación de cada familia en el discurso. </p>
Dataset de les xarxes socials de les biblioteques públiques de Catalunya
<p>Dataset dels perfils de les xarxes socials i blog de les biblioteques públiques de Catalunya. Aquest fitxer inclou:</p> <ul> <li>Xarxes de biblioteques</li> <li>Biblioteques</li> <li>Sales de lectura</li> <li>Punt d'accés, </li> <li>Bibliobusos</li> </ul> <p>Perfils actualitzats a Abril de 2020.</p> <p>Hi ha tres fitxers que contenen la mateixa informació. Un full de càlcul versió Microsoft Excel<strong> (.xlsx), </strong>un fitxer tabulat<strong> (.csv) </strong>i un fitxer en format text pla<strong> (.txt). </strong></p> <p>Cada registre disposa de les dades següents:</p> <p>Comarca, àmbit, província, municipi, denominació i les dreceres de Facebook, Instagram, Twitter, YouTube, i blogs</p> <p>Recordeu fer la citació corresponent dels autors si utilitzeu aquest dataset.</p>
IT Skills Survey in three albanian Social Work Faculties
<p>This IT Skills survey is part of the T@SK project and was distributed among students, administrative staff and teachers from the Social Work Faculties of Albanian universities:</p> <ul> <li>Universiteti i Tiranes</li> <li>Universiteti i Shkodres 'Luigj Gurakuqi'</li> <li>Universitei Aleksandër Xhuvan</li> </ul> <p>The fieldcamp was perfomerd in 2019</p>
Dataset of Invasion risks and social interest of non-native woody plants in urban parks of Spain
<p>Full datasets for the research entitled "Invasion risks and social interest of non-native woody plants in urban parks of Spain"</p>
lideres sociales asesinados registro prensa 2020
<p>Base de datos artículos de prensa sistematizados sobre cobertura en medios nacionales (colombia) del asesinato de líderes y lideresas en el año 2020</p>
Environmental and social factors influencing median income and BMI in the State of Geneva
<p>Hectometric grid (100m x 100m) covering the inhabited areas of the State of Geneva. It contains informations relative to the bmi and median income (GIREC) within the cells, together with a series of environmental and social factors, with which a correlation can be sought.</p>
Social determinants of Covid-19 infection and death in a rural Indonesia: A rapid healthcare assessment
<p>Understanding the social determinants of Covid-19 infection and death is vital for effective Covid-19 early detection and mitigation strategies. This study aims to examine social determinants of Covid-19 infection and death in the context of rural Indonesia. We used Malang district government Covid-19 contact tracing data from 14,264 individuals, spanning the period from March 1, 2020 to July 29, 2020. The contact tracing data was merged with administrative data from 390 villages to determine whether village characteristics (i.e., the number of health workers, number of community-based healthcare interventions, access to Covid-19 referred hospitals, number of indigenous socio-cultural activities, poverty level and distance to a Covid-19 epicentre city) are associated with Covid-19 infection and death. We used multilevel logistic regression to take advantage of the nested structure of data at the village level. We found among the 14,264 samples, 551 individuals were confirmed infected with Covid-19, and 62 died of Covid-19. Individuals aged 18 and older, civil servants (non-health workers), and those having close contact with people with confirmed cases had a higher likelihood of infection with Covid-19. Greater numbers of community-based healthcare interventions and a lesser distance to a pandemic epicentre reduced the likelihood of infection with the virus. Males, older people, individuals with hypertension, individuals diagnosed with pneumonia, and those diagnosed with respiratory failure had a higher likelihood of death due to Covid-19. A greater number of community-based healthcare interventions seems to reduce the likelihood of Covid-19 infection, while better access to a Covid-19 referred hospital seems to reduce the risk of death among Covid-19 patients. The findings suggest the government to prioritise strategies to control the pandemic in rural area through empowering rural community in health education to prevent Covid-19 and in monitoring people mobility, while providing Covid-19 emergency services for rural areas for reducing mortality.</p>
Data from: Hierarchical social networks shape gut microbial composition in wild Verreaux's sifaka
<p>In wild primates, social behaviour influences exposure to environmentally acquired and directly transmitted microorganisms. Prior studies indicate that gut microbiota reflect pairwise social interactions among chimpanzee and baboon hosts. Here, we demonstrate that higher-order social network structure—beyond just pairwise interactions—drives gut bacterial composition in wild lemurs, which live in smaller and more cohesive groups than previously studied anthropoid species. Using 16S rRNA gene sequencing and social network analysis of grooming contacts, we estimate the relative impacts of hierarchical (i.e. multilevel) social structure, individual demographic traits, diet, scent-marking, and habitat overlap on bacteria acquisition in a wild population of Verreaux's sifaka (<em>Propithecus</em> <em>verreauxi</em>) consisting of seven social groups. We show that social group membership is clearly reflected in the microbiomes of individual sifaka, and that social groups with denser grooming networks have more homogeneous gut microbial compositions. Within social groups, adults, more gregarious individuals, and individuals that scent-mark frequently harbour the greatest microbial diversity. Thus, the community structure of wild lemurs governs symbiotic relationships by constraining transmission between hosts and partitioning environmental exposure to microorganisms. This social cultivation of mutualistic gut flora may be an evolutionary benefit of tight-knit group living.</p>
GitSED: GitHub Socially Enhanced Dataset
<p>Software Engineering has evolved as a field to study not only the many ways software is created but also how it evolves, becomes successful, is effective and efficient in its objectives, satisfies its quality attributes, and much more. Nonetheless, there are still many open issues during its conception, development, and maintenance phases. Especially, understanding how developers collaborate may help in all such phases, but it is also challenging. Luckily, we may now explore a novel angle to deal with such a challenge: studying the social aspects of software development over social networks.</p> <p>With <em>GitHub</em> becoming the main representative of collaborative software development online tools, there are approaches to assess the follow-network, stargazer-network, and contributors-network. Moreover, having such networks built from real software projects offers support for relevant applications, such as detection of key developers, recommendation of collaboration among developers, detection of developer communities, and analyses of collaboration patterns in agile development.</p> <p><strong>GitSED</strong> is a dataset based on GitHub that is curated (cleaned and reduced), augmented with external data, and enriched with social information on developers’ interactions. The original data is extracted from <a href="https://ghtorrent.org/">GHTorrent</a> (an offline repository of data collected through the GitHub REST API). Our final dataset contains data from up to June 2019. It comprises:</p> <ul> <li><strong>8,556,778</strong> repositories</li> <li><strong>32,411,674 </strong>developers</li> <li><strong>6</strong> programming languages (Assembly, JavaScript, Pascal, Python, Ruby, Visual Basic)</li> <li><strong>13</strong> collaboration metrics</li> </ul> <p>There are two previous versions of GitSED, which were originally built for the following conference papers:</p> <p><a href="https://dl.acm.org/doi/10.1145/3243082.3243101">v2 (May 2017)</a>: <em>Gabriel P. Oliveira, Natércia A. Batista, Michele A. Brandão, and Mirella M. Moro. Tie Strength in GitHub Heterogeneous Networks. In Proceedings of the 24th Brazilian Symposium on Multimedia and the Web (WebMedia'18), 2018.</em></p> <p><a href="https://dl.acm.org/doi/10.1145/3106426.3106480">v1 (Sep 2015)</a>: <em>Natércia A. Batista, Michele A. Brandão, Gabriela B. Alves, Ana Paula Couto da Silva, and Mirella M. Moro. Collaboration strength metrics and analyses on GitHub. In Proceedings of the International Conference on Web Intelligence (WI'17), 2017.</em></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.