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5,666 results for “Social”
Neonate personality affects early-life resource acquisition in a large social mammal
<p>This file contains the raw data files and R-scripts used for producing the final data sets analyzed in the paper: "Neonate personality affects early-life resource acquisition in a large social mammal". A full and detailed description of the methods can be found in the manuscript, or at request from the author (BA).</p> <p> The R-scripts can be used to follow all the steps taken in producing the final data sets. The findings in the paper can be then reproduced by using the code provided in the supplementary materials (of the paper). </p> <p>The file contains data taken from >150 newborn fallow deer fawns (<em>Dama dama</em>), in two different cohorts. Data were taken at capture and recapture of these fawns, during their first weeks of life. During this period, fallow deer fawns adopt a hiding-strategy where they hide in the vegatation from potential predators. Furthermore, it contains time budget data taken at summer, when fawns were 1-2 months old, and at autumn, when fawns were 3-6 months old. The final file is a datafile that contains data on the days that fawns were spotted in a group of deer for the first time, after their hider-phase.</p> <p>We have provided a README.docx file, which contains additional descriptions of the raw data set and the variables it includes.</p>
Base de datos del Observatorio de Conflictividad Social de la UNMdP
<p>Se trata de una base de datos que contiene 5132 registros de acciones de protesta ocurridas en la ciudad de Mar del Plata entre enero de 2011 y diciembre de 2017.</p>
Análise de contidos de xornalismo de datos e xornalismo social en elDiario.es e The Guardian
<p>Fichas de datos utilizadas no estudo.</p> <p>Folla 1: Análise das noticias das portadas de <em>elDiario.es</em></p> <p>Folla 2: Análise das noticias das portadas de <em>The Guardian</em></p> <p>Folla 3: Análise das noticias da sección <em>Data </em>de <em>The Guardian</em></p> <p>Folla 4: Análise das noticias de xornalismo de datos de ambos medios</p>
Data from: Genetic, maternal, and environmental influences on sociality in a pedigreed primate population
<p>Various aspects of sociality in mammals (e.g., dyadic connectedness) are linked with measures of biological fitness (e.g., longevity). How within- and between-individual variation in relevant social traits arises in uncontrolled wild populations is challenging to determine but is crucial for understanding constraints on the evolution of sociality. We use an advanced statistical method, known as the 'animal model', which incorporates pedigree information, to look at social, genetic, and environmental influences on sociality in a long-lived wild primate. We leverage a longitudinal database spanning 20 years of observation on individually recognized white-faced capuchin monkeys (Cebus capucinus imitator), with a multi-generational pedigree. We analyze two measures of spatial association, using repeat sampling of 376 individuals (mean: 53.5 months per subject, range: 6-185 months per subject). Conditioned on the effects of age, sex, group size, seasonality , and El Niño–Southern Oscillation phases, we show low to moderate long-term repeatability (across years) of the proportion of time spent social (posterior mode [95% Highest Posterior Density interval]: 0.207 [0.169, 0.265]) and of average number of partners (0.144 [0.113, 0.181]) (latent scale). Most of this long-term repeatability could be explained by modest heritability (<em>h<sup>2</sup></em><sub>social</sub>: 0.152 [0.094, 0.207]; <em>h<sup>2</sup></em><sub>partners</sub>: 0.113 [0.076, 0.149]) with small long-term maternal effects (<em>m<sup>2</sup></em><sub>social</sub>: 0.000 [0.000, 0.045]; <em>m<sup>2</sup></em><sub>partners</sub>: 0.000 [0.000, 0.041]). Our models capture the majority of variance in our behavioral traits, with much of the variance explained by temporally changing factors, such as group of residence, highlighting potential limits to the evolvability of our trait due to social and environmental constraints.</p>
Propaganda and fake news on the war in Ukraine: data from Russian-speaking social media communities
<p>The data set contains posts from social media networks popular among Russian-speaking communities. Information was searched based on pre-defined keywords ("war", "special military operation", etc.) and is mainly related to the ongoing war in Ukraine with Russia. After a thorough review and analysis of the data, both propaganda and fake news were identified. The collected data is anonymized. Feature engineering and text preprocessing can be applied to obtain new insights and knowledge from this data set. The data set is useful for the study of information wars and propaganda identification.</p>
Influence of social networks as a distribution channel in volatile markets of non-fungible tokens..
<p>Dataset with tweets, prices (ETH & USD), volume (USD) and sentiment from BAYC, WOW and CoolCats NFTs. </p> <p>Obtained from Twitter and from the Ethereum blockchain using Dune Analytics (Dune.xyz)</p>
La abolición de fronteras: un tema de justicia social
<p>Podcast en español en el que explico por qué la abolición de fronteras es un tema de justicia social.</p> <p>http://biblioteca.cchs.csic.es/PodcastFronteras.php</p>
Social Sciences Word Embeddings in FastText
<p>These social science word embeddings in FastText have been created from 37,604 open access social science research papers from the social science access repository (https://www.gesis.org/ssoar/home). They are available in German and English.</p> <p>(skipgram model, n-grams with n≥3 and n≤6, different dimensions (100, 150, 200, 300, 500), five epochs, learning rate 0.05, five negative examples)</p> <p>Please cite:</p> <p>Schiffers, Ricardo, Dagmar Kern, and Daniel Hienert. 2022. "Evaluation of Word Embeddings for the Social Sciences." In <em>Proceedings of the 6th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature</em>, edited by Stefania Degaetano, Anna Kazantseva, Nils Reiter, and Stan Szpakowicz, 1-6. Gyeongju: Association for Computational Linguistics. <a href="https://aclanthology.org/2022.latechclfl-1.1">https://aclanthology.org/2022.latechclfl-1.1</a>.</p>
TrueFace: a Dataset for the Detection of Synthetic Face Images from Social Networks
<p>TrueFace is a first dataset of social media processed real and synthetic faces, obtained by the successful StyleGAN generative models, and shared on Facebook, Twitter and Telegram.</p> <p>Images have historically been a universal and cross-cultural communication medium, capable of reaching people of any social background, status or education. Unsurprisingly though, their social impact has often been exploited for malicious purposes, like spreading misinformation and manipulating public opinion. With today's technologies, the possibility to generate highly realistic fakes is within everyone's reach. A major threat derives in particular from the use of synthetically generated faces, which are able to deceive even the most experienced observer. To contrast this fake news phenomenon, researchers have employed artificial intelligence to detect synthetic images by analysing patterns and artifacts introduced by the generative models. However, most online images are subject to repeated sharing operations by social media platforms. Said platforms process uploaded images by applying operations (like compression) that progressively degrade those useful forensic traces, compromising the effectiveness of the developed detectors. To solve the synthetic-vs-real problem "in the wild", more realistic image databases, like TrueFace, are needed to train specialised detectors.</p>
Data from: The evolution of sex similarities in social signals: Climatic seasonality is associated with lower sexual dimorphism and greater elaboration of female and male signals in antbirds (Thamnophilidae)
<p>Selection on signals that mediate social competition varies with resource availability. Climate regulates resource availability, which may affect the strength of competition and selection on signals. Traditionally, this meant that more seasonal, colder, or dryer – overall harsher – environments should favor the elaboration of male signals under stronger male-male competition, increasing sexual dimorphism. However, females also use signals to compete; thus, harsher environments could strengthen competition and favor elaboration of signals in both sexes, decreasing sexual dimorphism. Alternatively, harsher environments could decrease sexual dimorphism due to scarcer resources to invest in signal elaboration in both sexes. We evaluated these contrasting hypotheses in antbirds, a family of Neotropical passerines that varies in female and male signals and occurs across diverse climatic regimes. We tested the association of sexual dimorphism of plumage coloration and songs with temperature, precipitation and their seasonality. We found that greater seasonality is associated with lower sexual dimorphism in plumage coloration and greater elaboration of visual signals in both sexes, but not acoustic signals. Our results suggest that greater seasonality may be associated with convergent elaboration of female and male visual signals, highlighting the role of signals of both sexes in the evolution of sexual dimorphism.</p>
Transcriptome data of social defeat stress of various durations
<p>Data of meta-analysis of transcriptomic changes in the PFC after SDS of various durations. This analysis enabled us to identify clusters of the most reproducible changes in gene expression after 10 and 30 days of SDS and to determine which genes are associated with susceptibility and resistance to SDS after 10 days. Furthermore, we compared such changes in mice after SDS of various durations with data from a meta-analysis of postmortem transcriptomes of the dorsolateral PFC from depressed patients and data of the transcriptomic study on the PFC from patients with PTSD.</p>
Multilevel selection on social network traits differs between sexes in experimental populations of forked fungus beetles
<p>Both individual and group behavior can influence individual fitness, but multilevel selection is rarely quantified on social behaviors. Social networks provide a unique opportunity to study multilevel selection on social behaviors, as they describe complex social traits and patterns of interaction at both the individual and group levels. In this study, we used contextual analysis to measure the consequences of both individual network position and group network structure on individual fitness in experimental populations of forked fungus beetles (<em>Bolitotherus</em> <em>cornutus</em>) with two different resource distributions. We found that males with high individual connectivity (strength) and centrality (betweenness) had higher mating success. However, group network structure did not influence their mating success. Conversely, we found that individual network position had no effect on female reproductive success but that females in populations with many social interactions experienced lower reproductive success. The strength of individual-level selection in males and group-level selection in females intensified when resources were clumped together, showing that habitat structure influences multilevel selection. Individual and emergent group social behavior both influence variation in components of individual fitness but impact male mating success and female reproductive success differently, setting up intersexual conflicts over patterns of social interactions at multiple levels. </p>
Ecosistema de emprendimiento e innovación social de Bogotá
<p>Este diagrama muestra 339 elementos del ecosistema de emprendimiento e innovación social de Bogotá agrupados en nueve categorías: emprendimientos convencionales, emprendimientos sociales, organismos de soporte, medios de comunicación, agentes culturales, organismos de gobierno, entidades de financiamiento, capital humano y mercados.</p>
The evolution of marsupial social organization
<p>It is generally believed that marsupials are more primitive mammals than placentals and mainly solitary living, representing the ancestral form of social organization of all mammals. However, field studies have observed pair- and group-living in marsupial species, but no comparative study about their social evolution was ever done. Here we describe the results of primary literature research on marsupial social organization which indicate that most species can live in pairs or groups and many show intra-specific variation in social organization. Using Bayesian phylogenetic mixed-effects models with a moderate phylogenetic signal of 0.18 we found that solitary living is the most likely ancestral form (35% posterior probability), but has high uncertainty, and the combined probability of partly sociable marsupial ancestors (65%) should not be overlooked. For Australian marsupials, group-living species were less likely to be found in climates representing tropical rainforest, and species with a variable social organization were associated with low and unpredictable precipitation representing deserts. Our results suggest that modern marsupials are more sociable than previously believed and that there is no strong support that their ancestral state was strictly solitary living, such that the assumption of a solitary ancestral state of all mammals may also need reconsideration.</p>
Orientaciones de los emprendimientos sociales (Ecosistema de innovación de Bogotá)
<p>Este diagrama muestra las orientaciones de los emprendimientos sociales registrados durante el proyecto "Jóvenes e Innovación Social Digital" del ISUR.</p>
Social learning data in a foraging setting for Heliconius erato
<p><span>Insects may acquire social information by active communication and through inadvertent social cues. In a foraging setting, the latter may indicate the presence and quality of resources. Although social learning in foraging contexts is prevalent in eusocial species, this behaviour has been hypothesised to also exist between conspecifics in non-social species with sophisticated behaviours, including </span><span><em>Heliconius</em> </span><span>butterflies</span><span>. </span><span><em>Heliconius</em> </span><span>are the</span><span> only butterfly genus with active pollen feeding, a dietary innovation </span><span>associated with a specialised, spatially faithful foraging behaviour known as trap-lining. Long-standing hypotheses suggest that <em>Heliconius</em> may acquire trap-line information by following experienced individuals. Indeed, <em>Heliconius</em></span> <span>often aggregate in social roosts, which could act as 'information centres', and present conspecific following behaviour, enhancing opportunities for social learning. Here, we provide a direct test of social learning ability in <em>Heliconius</em> using an associative learning task in which naïve individuals completed a colour preference test in the presence of demonstrators trained to feed randomly or with a strong colour preference. We found no evidence that </span><span><em>Heliconius</em> <em>erato</em></span><span>, which roost socially, used social information in this task</span><span>. Combined with existing field studies our results add to data which contradict the hypothesised role of social learning in <em>Heliconius</em> foraging behaviour.</span></p>
Social Network analysis on European countries involved in agroecology research
<p>All the 124 (68 European and 56 Transnational) agroecology research projects identified in the mapping activities carried out by the task 1.3 of the AE4EU project were used to perform a weighted social network analysis (SNA) having the participating countries as nodes and collaborations in projects as edges.</p> <p>This dataset contains data related to this SNA and consists of two sheets:</p> <ul> <li><strong>Indexes</strong> where values of some measures for each identified country in the social network analysis are reported (number of European agroecological research projects coordinated by the country; number of transnational agroecological research projects coordinated by the country; Degree Centrality; Closeness Centrality)</li> <li><strong>Edge_weights</strong> where the weights for each edge between two countries are provided according to the times two countries cooperated together for a European or a transnational project.</li> </ul>
Triggering Sustainable Biogas Energy Communities through Social Innovation- ISABEL ---- Social Innovation and Community energy best preactices, methods and tools across Europe ----Semi-structured interviews from communities
<p>Having identified through the literature review various success and failure factors for social innovation applied to community energy projects, ISABEL has further conducted 18 semi-structured interviews of a range of stakeholders. The interviewee sample was a convenience sample of participants in existing projects and thus, inevitably, they are able to speak more to successful than unsuccessful projects and they likely have had less exposure to obstacles to the success of their projects. T The interviews have focused on identifying answers to the questions: <em>What were the key success factors? What obstacles were overcome? How? Participants were also asked to specify the type of renewable energy and community energy model. </em></p>
People in Social Context (PISC) Dataset
<p>The People in Social Context (PISC) dataset is a new dataset that focuses on social relationships. It consists of 22,670 images of 9 types of social relationships. We provide annotation of the bounding boxes of all people, as well as the social relationship between all pairs of people in the images. In addition, we provide occupation annotation. For more details on the collection process and statistics of the dataset, please see our paper.</p> <ul> <li><strong>annotation_image_info.json</strong> contains bounding box annotation and information about image source, image size, image id.</li> <li><strong>domain.json</strong> contains annotation of the 3 types of coarse relationships: {intimate, not intimate, no relation}.</li> <li><strong>relationship.json</strong> contains annotation of the 6 types of fine relationships: {friends, family, couple, professional, commercial, no relation}.</li> <li><strong>occupation.json</strong> contains annotation of the occupation.</li> <li><strong>domain_split</strong> and <strong>relation_split</strong> contain train/val/test split.</li> <li>after downloading all image parts (images-*), extract using: cat images-* | tar zx</li> </ul> <p>The dataset can be applied, but not limited to the following research areas:</p> <ul> <li>social relationship study</li> <li>people detection</li> <li>occupation recognition</li> </ul> <p>Please cite the following paper if you use the PISC dataset in your work (papers, articles, reports, books, software, etc):</p> <ul> <li>J. Li, Y. Wong, Q.Zhao, M. Kankanhalli<br> <strong>Dual-Glance Model for Deciphering Social Relationships</strong><br> <em>ICCV</em>, 2017.<br> http://doi.org/</li> </ul>
Figure 2. Workflow in Collaborative Portals-Questions Regarding Alterity in Social Collaborative Networks
<p>Despite the divergence of each members individual interests and structure, the media as well<br> as the Internet become new forms of social binding, and we believe they do not exclude the<br> traditional ways of communication and interaction, but help people in their duties, in addition to the<br> traditional, formal ways. In Figure 2 [7]. there is a clear image about how each of the benefficiaries<br> interact with the educational portal.</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.