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5,666 results for “Social”
Human-derived fecal microbiota transplantation alleviates mitochondrial dysfunction and social deficits in the BTBR mouse model for autism
<p><span><span>Autism spectrum disorder (ASD) is a heterogeneous neurodevelopmental condition characterized by social communication deficiencies and stereotypic behaviors influenced by hereditary and/or environmental risk factors. There are currently no approved medications for treating the core symptoms of ASD. Human fecal microbiota transplantation (FMT) has emerged as a potential intervention to improve autistic symptoms, but the underlying mechanisms are not fully understood. </span></span><span><span><span><span>In this study, we evaluated the effects of human-derived FMT on behavioral and multi-omics profiles of the BTBR mice, an established model for ASD. FMT effectively alleviated the social deficits in the BTBR mice and normalized their distinct plasma metabolic profile, notably reducing the elevated long-chain acylcarnitines. Integrative analysis linked these phenotypic changes to specific <em>Bacteroides</em> species and vitamin B<sub>6</sub> metabolism. Indeed, vitamin B<sub>6</sub> supplementation improved the social behaviors in BTBR mice. Collectively, these findings shed new light on the interplay between FMT and vitamin B<sub>6</sub> metabolism and revealed a potential mechanism underlying the therapeutic role of FMT in ASD.</span></span></span></span></p>
Data from: coexistence across space and time: social-ecological patterns within a decade of human-coyote interactions in San Francisco
<p><span>Global change is increasing the frequency and severity of human-wildlife interactions by pushing people and wildlife into increasingly resource-limited shared spaces. To understand the dynamics of human-wildlife interactions, and what may constitute human-wildlife coexistence in the Anthropocene, there is a critical need to explore the spatial, temporal, sociocultural, and ecological variables that contribute to human-wildlife conflicts in urban areas.</span></p> <p><span>Due to their opportunistic foraging and behavioral flexibility, coyotes (<em>Canis latrans</em>) frequently interact with people in urban environments. San Francisco, California, USA hosts a very high density of coyotes, making it an excellent region for analyzing urban human-coyote interactions and attitudes toward coyotes over time and space.</span></p> <p><span>We used a community-curated long-term data source from San Francisco Animal Care and Control to summarize a decade of coyote sightings and human-coyote interactions in San Francisco and to characterize spatiotemporal patterns of attitudes and interaction types in relation to housing density, socioeconomics, pollution and human vulnerability metrics, and green space availability.</span></p> <p><span>We found that human-coyote conflict reports have been significantly increasing over the past 5 years and that there were more conflicts during the coyote pup-rearing season (April-June), the dry season (June-September), and the COVID-19 pandemic. Conflict reports were also more likely to involve dogs and occur inside of parks, despite more overall sightings occurring outside of parks. Generalized linear mixed models revealed that conflicts were more likely to occur in places with higher vegetation greenness and median income. Meanwhile reported coyote boldness, hazing, and human attitudes toward coyotes were also correlated with pollution burden and human population vulnerability indices.</span></p> <p><span><em>Synthesis and applications</em>: </span><span>Our results provide compelling evidence suggesting that human-coyote conflicts are intimately associated with social-ecological heterogeneities and time, emphasizing that the road to coexistence will require socially-informed strategies. Additional long-term research articulating how the social-ecological drivers of conflict (e.g., human food subsidies, interactions with domestic species, climate-induced droughts, socioeconomic disparities, etc.) change over time will be essential in building adaptive management efforts that effectively mitigate future conflicts from occurring. </span></p>
Exploring the Determinants of Repurchase Intention and Word of Mouth Intention in Social Commerce
<p>This data is research data entitled Exploring the Determinants of Repurchase Intention and Word of Mouth Intention in Social Commerce</p>
Understanding Citywalk Through Social Media: A Spatial-Statistical Analysis in Shanghai
<p>The uploaded file contains the original Citywalk social media posts, coordinates and classifications of different Citywalk POIs, sentiment scores, <span>Shannon Diversity Index</span> for different grids, public transport statistics, public transport accessibility statistics, green area statistics, and the Grid Citywalk Activity Index.</p>
Social Media Marketing for SMEs: Leveraging Information Systems for Sales Performance
<p><span>Small and medium enterprises (SMEs) may directly interact with more clientele using social media marketing (SMM). To ensure accurate data and effective monitoring of progress, the field of SMM requires implementing a robust information system. This study examines the impact of information systems on consumer engagement in social media marketing for SMEs. This approach assesses the adoption of social media marketing using a single variable. This study employed purposive sampling to identify 129 SMEs for cross-sectional preliminary research. The preliminary research will take place around Jabodetabek in May and June of 2024, utilizing a Google Form survey. The author analyzed the data obtained from PLS-SEM using Smart PLS 3.0. This preliminary research computed Partial Least Squares (PLS) scores and performed bootstrapping. From a statistical standpoint, social media enhances the marketing effectiveness of SMEs in Indonesia. The market's efficiency and performance demonstrate the gain. This preliminary research consists of nine variables, such as, competitor pressure, affordable marketing cost, user generated content, belief in information, customer relationship, social media marketing adoption, SMEs’ marketing engagement, and sales performance, with only one hypothesis exhibiting a non-significant relationship.</span></p> <p><span>Keywords—<em>social media marketing, SMEs, information systems, marketing engagement</em></span></p>
Dataset para o artigo Tecnologias digitais e sistemas de informação em Ecossistemas de Inovação Social
<p>Dataset referentes aos procedimentos de seleção dos artigos para o MSL.</p> <p>Dataset com os metadados dos estudos selecionados.</p>
AlertCops use data and social platforms on the Camino de Santiago
<p><span><span>AlertCops utiliza datos y plataformas sociales en el Camino de Santiago. </span></span></p>
Social clues in risky pools: Perceived conspecific rivals modify individual mosquito oviposition decisions in response to larval predation and competition
Open the record for dataset details and reuse information.
Resources for the paper: "Social Context in Political Stance Detection: Impact and Extrapolation"
<p>This repository contains the resources in our paper <strong>[Social Context in Political Stance Detection: Impact and Extrapolation]</strong><br><em>Ramon Villa-Cox, Evan Williams, Kathleen M. Carley</em></p> <p>In this work, we explore the performance and extrapolation power of political stance-detection models using an existing large-scale weakly-labeled Twitter dataset collected around the 2019 South American Protests [1]. We construct transformer-based user and tweet encoders to embed users in a low-dimensional space using their text and ego-networks. We then train heterogeneous graph attention networks to predict user stances and contrast their ability to extrapolate stance predictions to different country contexts.</p> <p>The protest dataset, which was collected between September 25 and December 24 of 2019, contains 550k labeled users split unevenly across the four countries and contains over 36 million labeled tweets. It contains an additional 1.1 million unlabeled neighbors and 40 million unlabeled tweets. This repository includes the anonymized datasets necessary to reproduce the results and tables of the paper. In addition, we include the corresponding anonymized resources for the new weakly-labeled dataset around the 2020 Chilean Referendum presented in our paper.</p> <p>Following Twitter's January 2023 User Protection Policy update, tweet or user IDs related to sensitive political events cannot be publicly shared. We respect this policy, and only share:</p> <ul> <li>The anonymized user ID, their weak-stance label, the label predicted by each model and the data split (train, validation or test) the user was assigned to.</li> <li>Anonymized user network edges used by the different network classifiers</li> <li>The type of tweet the edge represents (Original, Reply, or Quote)</li> <li>The User Embeddings produced by the User Transformer and which serve as input for the different network models.</li> </ul> <p>This repository is comprised of the following files:</p> <ol> <li>Main_Predictions.7z: Compressed folder containing anonymized user IDs their stance label and each model’s prediction for the country it was trained on. The performance metrics for each model can be obtained based on the test split for each country. This folder includes the results for the Chilean Referendum.</li> <li>Cross_Predictions.7z: Compressed folder containing the results of the cross-country experiments for each anonymized user. The performance metrics for each model, when applied on a different country can be obtained based on each complete file. Users seen during the training of each model are excluded as described in the paper.</li> <li>Tweet_Level_Edgelists.7z: Compressed folder containing anonymized tweet edge lists indicating its interaction type (Original, Reply, or Quote).</li> <li>User_Networks.7z: Compressed folder containing different anonymized user edge lists for each interaction type.</li> <li>Embeddings.zip: Compressed Pytorch tensor files containing the User Embeddings produced by the User Transformer and which serve as input for the different network models. This are provided for the main results and the cross-country and referendum experiments.</li> </ol> <p>The code developed for this study is available at: https://github.com/rvillaco/Protest_Stance_Detection</p>
D1.4 LITERATURE REVIEW ON SOCIAL NETWORK ANALYSIS RELATED TO TRUST IN SCIENCE
<p>This document constitutes a part of the D1.4 Social Network Analysis and includes the literature review that was conducted to investigate the methodologies used for addressing the topic of trust in science in Online Social Networks (OSNs). This review contains studies that have approached the topic of trust in science from different perspectives in OSNs examining both data from OSNs and suveys related to OSNs providing useful insights about the factors that influence public trust in science. Important findings are derived from the literature review that affect public’s trust in science, such as the political ideology, educational level, and cultural factors. Also, different methods of the studies are described such as the analysis of the text of the messages, the reactions of users, and deep learning techniques. The findings of the literature review are provided to the final document of D1.4 as they address the further analysis of the Task 1.4 Social Network Analysis</p>
User Personas Improve Social Sustainability by Encouraging Software Developers to Deprioritize Antisocial Features
<p>This dataset contains the supplementary material for the paper "User Personas Improve Social Sustainability by Encouraging Software Developers to Deprioritize Antisocial Features".</p> <p>The dataset includes:</p> <ul> <li>Pilot study material and analysis document</li> <li>Task Materials(Instruction, prioritization worksheet, personas, stakeholder map)</li> <li>Instructions for Invigilators (experimental protocol)</li> <li>Consent form (de-identified)</li> <li>Data sheet</li> <li>Preliminary data analysis script and visualizations - Python Notebook</li> <li>Cummulative Link Mixed Model analysis script - R</li> <li>Propotional Odds analysis script - R</li> <li>Instructional videos<br><br>***This version includes written experimental protocol for invigilators, instructional videos for participants and Propotional Odds assumption analysis script.</li> </ul>
Exploring Transparency Concerns in Social Media App Reviews: A Human-LLM Perspective
<p>This is a dataset for the "Exploring Transparency Concerns in Social Media App Reviews: A Human-LLM Perspective." paper submitted to EASE2025.</p>
Sex- and social context-dependent differences in mice head movement during social interactions
<p>Data set and code for the paper : <span>S<span>ex- and social context-dependent differences in mice head movement during social interactions. </span></span></p> <p><span>Adèle Phalip<sup>1,</sup>*, Shai Netser<sup>1</sup> and Shlomo Wagner<sup>1</sup></span></p> <p><span> </span></p> <p><sup><span>1</span></sup><span>Sagol Department of Neurobiology, Faculty of Natural Sciences, University of Haifa, Haifa, Israel</span></p> <p><span> </span></p> <p><span><span><span>*Corresponding author: </span><span><a href="mailto:adele.phalip@gmail.com"><span>adele.phalip@gmail.com</span></a></span></span></span></p>
Evolution and stability of social learning in animal migration - Figure genation
<p>Code and Data to generate figures in article "Evolution and stability of social learning in animal migration" (n.d.)</p> <p> </p> <p>Run Article_Figures.m to generate all plots. See README for details.</p>
Social environment shapes female settlement decisions in a solitary carnivore
<p>How and where a female selects an area to settle and breed is of central importance in dispersal and population ecology as it governs range expansion and gene flow. Social structure and organization have been shown to influence settlement decisions, but its importance in settlement of large, solitary mammals is largely unknown. We investigate how the identity of overlapping conspecifics on the landscape, acquired during the maternal care period, influences selection of settlement home ranges in a non-territorial, solitary mammal using location data of 56 female brown bears (Ursus arctos). We used a resource selection function to determine whether females' settlement behavior was influenced by presence of their mother, related females, familiar females, and female population density. Hunting may remove mothers and result in socio-spatial changes prior to settlement. We compared overlap between settling females and their mother's concurrent or most recent home ranges to examine the settling female's response to the absence or presence of her mother on the landscape. We found that females selected settlement home ranges that overlapped their mother's home range, familiar females, i.e. those they had previously overlapped with, and areas with higher density than their natal ranges. However, they did not select areas overlapping related females. We also found that when mothers were removed from the landscape, female offspring selected settlement home ranges with greater overlap of their mother's range, compared with mothers who were alive. Our results suggest that females are acquiring and using information about their social environment when making settlement decisions</p>
Foraging networks and social tolerance in a cooperatively breeding primate (Callithrix jacchus)
<p>Within-group competition over food resources can be a major cost of social living. In the wild, foragers are confronted with social (e.g. hierarchical rank) and ecological (e.g. food availability and distribution) challenges that affect their foraging decisions and feeding success. Exhibiting prosocial behaviors, such as tolerance at feeding sites, can benefit group members by developing affiliative social relationships, enhancing access to resources and maximizing fitness. We examined social tolerance at feeding sites in Callithrix jacchus, a cooperatively breeding primate species. We investigated the set of social (rank, age, sex) and ecological (food availability) factors that influence the structure and dynamics of within-group foraging association networks. We designed and conducted an experimental field study of four wild groups of common marmosets in which we controlled food distribution (concentrated or scattered) and productivity (high, medium, or low food rewards). Then, we used social network analyses to assess the number and strength of foraging associations among group members, their effects on individual food consumption, and whether recent experiences with conspecifics during foraging affected subsequent associations. Overall, common marmoset foraging association networks were cohesive, as group members jointly occupied feeding sites. The number and strength of associations varied depending on the ecological context. Associations were stronger during conditions in which food was concentrated at a single site. Individuals obtained greater access to food resources when sharing a feeding site with conspecifics, but once a food item was obtained, the forager moved to a nearby tree and consumed it away from others. Additionally, the strength of previous foraging associations and subsequent levels of social tolerance at feeding sites were positively related, a relationship compatible with the ability of memorizing associations over time and recalling the information in future decision-making. In sum, marmosets adjusted their partner choices and the strength of foraging associations in response to food availability. They exhibited increased social tolerance at feeding sites during conditions in which opportunities for contest competition were expected to be greatest. These cooperative breeding primates appear to mutually benefit by maintaining cohesive and strong affiliative relationships, and by increasing opportunities for coordinated behavior and offspring survival.</p>
The benefits and costs of social foraging in velvet worms
<p>Data from: Herringe et al. (2021) The benefits and costs of social foraging in velvet worms.</p>
Figure 1 in The first known riodinid 'cuckoo' butterfly reveals deep-time convergence and parallelism in ant social parasites
Figure 1. Adult types of Aricoris described from Uruguay. A, Hamearis gauchoana, holotype female in dorsal view (left), ventral view (centre) and labels (right). B, Hamearis montana, lectotype male in dorsal view (left), ventral view (centre) and labels (right). C, H. montana, female paralectotype in dorsal view (left), ventral view (centre) and labels (right). D, Hamearis arenarum, lectotype male in dorsal view (left), ventral view (centre) and labels (right). E, H. arenarum, female paralectotype in dorsal view (left), ventral view (centre) and labels (right). Scale bar: 1 cm.
Figure 4 in The first known riodinid 'cuckoo' butterfly reveals deep-time convergence and parallelism in ant social parasites
Figure 4. Scanning electron micrographs of the first (A–E) and second (F–J) instars of Aricoris arenarum. A, lateral view. B, lateral setae on mesothorax. C, dorsal seta and PCO on mesothorax. D, opening of TNO (arrow). E, proleg of segment A4 in lateroventral view. F, lateral view; note reduce setae on metathorax (arrow). G, head in laterofrontal view. H, dorsal setae in lateral view; note reduced setae on metathorax (arrow). I, dendritic setae and PCOs on mesothorax. J, opening of TNO (arrow).
Figure 6 in The first known riodinid 'cuckoo' butterfly reveals deep-time convergence and parallelism in ant social parasites
Figure 6. Life cycle of Aricoris arenarum tended by 'black morphs' of Camponotus punctulatus ants on Geoffroea decorticans (Fabaceae), showing both free-living and social parasitic phases. A, female at post-alighting phase. B, eggs close to anttended treehoppers (dashed ellipse). C, eggs (white arrows) and first instar caterpillars (black arrows) close to scale insets, both tended by ant workers. D, first instar caterpillar (black arrow) close to ant-tended treehoppers. E, sequence of worker drinking honeydew from treehopper (top panel, white arrow) and first instar requesting trophallaxis from ant (bottom panel, white arrow); note the typical larval posture and long prothoracic setae. F, last instar caterpillar tended by ants inside brood chamber. G, penultimate instar (black arrow indicates the everted larval TNO) and pupa inside the ant nest (white arrow). Scale bars: 5 mm in A, B, C, D, F, G; 2 mm in E.
ScienceDex guides
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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.