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5,666 results for “Social”
Language as social and cultural data
<p>Closing lecture</p>
The influence of social presence on facial affective responses to food images (FSC)
<p>Raw data from a study of social context and food liking. CSV files are generated by PsychoPy. ACQ files are generated by BIOPAC Acqknowledge software.</p> <p>Modified versions of Acqknowledge files have had markers for chocolate consumption readjusted by the researcher. These participants had failed to click the mouse in time with the start and finish of their eating episode. 188modified.acq file had the marker channel for the first trial edited because the fixation data for the first trial was missing.</p> <p> </p>
Survey on social characteristics of human-chatbot interaction
<p>These datasets contain the citations downloaded from Google Scholar, using the following search string:</p> <p><em>(chatbots + chatterbots + conversational agents + conversational interfaces + conversational systems + conversation systems + dialogue systems + digital assistants + intelligent assistants + conversational user interfaces + conversational UI) -</em><em>ECA -multimodal -robots -eye-gaze -gesture -</em><em>speech-based -speech-recognition -voice-based</em></p> <p>Extra options selections are: title only, exclude patents</p> <p>The search was performed between February and September 2018. The file "All.csv" contains all the 1046 papers selected. The other files contains the studies excluded per round. The file "Included.csv" is the primary studies analyzed in the survey, authors version available at: https://arxiv.org/abs/1904.02743</p>
Interaction-Based Behavioral Analysis in Twitter Social Network
<p>Literature studies usually use data sets consisting of data collected from many different metrics and user counts collected over different time periods. The data set used in this article was formed using completely up-to-date data obtained as a result of metrics measured in terms of scope and efficiency, sufficient and effective user counts, and filtering processes. To classify users correctly and make the classification performance high—in addition to parameters used in the literature such as tweets, account age, follower rank, average retweets and average likes—other parameters such as diameter, density, reciprocity, centralization and modularity were used. These metrics are the parameters that focus on a different area to reveal many aspects in which social network users interact. The data used to create the data set was collected from Twitter. The metric data forming the data set was extracted using Twitter Rest API V1.1 supporting search/tweet endpoints by means of the SocialBlade and Netlytic platforms.</p>
Fig. 1 in Notes on the nest of the social wasp Pseudopolybia langi (Hym., Vespidae, Polistinae)
Fig. 1. Nest of P. langi from RESEX Cajari; scale: 2 cm.
Fig. 2 in Metapolybia araujoi, a new species of swarming social wasp from the Brazilian Amazon rainforest (Vespidae: Polistinae)
Fig. 2. Labels found attached to the specimen.
Fig. 15 in Notes on social wasps of the group of Mischocyttarus (Omega) punctatus (Ducke), with description of six new species (Hymenoptera, Vespidae, Polistinae)
Fig. 15. Map with distribution of the studied species of the M. punctatus group.
Figure 3 in Reproduction, postnatal development, and social behavior of Ellobius lutescens Thomas 1897 (Mammalia: Rodentia) in captivity
Figure 3. The newborn incisors (A) and the adult incisors (B).
Figure 2 in Comparison of the chromosome banding patterns in three species of social voles (Microtus irani karamani, M. schidlovskii, M. anatolicus) from Turkey
Figure 2. Standard karyotypes of M. irani karamani (1), M. schidlovskii (2), and M. anatolicus (3).
FIGURE 8 in Amateur paleontological societies and fossil clubs, interactions with professional paleontologists, and social paleontology in the United States
FIGURE 8. Map of amateur paleontological organizations, Facebook likes, and Twitter followers.
Social contact data for the BHDSS and FWHDSS in the Gambia (2022)
<p>Social contact data for people in the <span>Basse and Fuladu West Health and Demographic Surveillance Systems</span> (BHDSS and FWDHSS) in the Gambia. Participants reported all their direct contacts in the 24 hours preceding the survey. This survey was conducted in 2022. Data is formatted to be used in the <em>socialmixr</em> package in <em>R</em>.</p> <p>Note, for a subset of school-going participants, school contacts were observed in the classroom for a two hour period. The list of participants needs to be filtered accordingly to ensure the correct denominators are applied when calculating contact rates.</p>
Chronic social defeat stress induces meningeal neutrophilia via type I interferon signaling: single cell RNA sequencing data
<p>Meningeal single cell RNA sequencing data</p> <p>Meningeal samples were collected from both dorsal and ventral skull, avoiding inclusion of choroid plexus. Samples were digested in 2.5 mg/mL Collagenase D (Cat. #11088858001; Roche) and 12.5 μL of 0.5 mg/mL DNAseI (Cat. #L5002139; Worthington), put on a shaker at 370C for 30 m, diluted with cold HBSS + 0.1% BSA, and mashed through a 70 μm cell strainer prior to sorting.</p> <p>Data represent live, nucleated, singlet cells (DAPI-DRAQ5+) sorted on a BD FACS Aria Fusion into HBSS + 10% FBS prior to droplet encapsulation using 10x Genomics’ Drop-seq platform (Chromium v2).</p> <p>10X chip lane is indicate by 'group' column</p> <p>Group 1 = 4 pooled homecage control (unstressed) mice</p> <p>Group 2 = 4 pooled homecage control (unstressed) mice</p> <p>Group 3 = 4 pooled mice exposed to chronic social defeat for 14 days; tissue was collected 2 hours following final defeat</p> <p>See the following repositories for data processing:</p> <p><a href="https://github.com/maryellenlynall/2019_bcell_stress/blob/master/bcellstress20.Rmd">https://github.com/maryellenlynall/2019_bcell_stress/</a> (processing from raw files starts at bcellstress020.Rmd)</p> <p><a href="https://github.com/staceykigar/meningeal_neut/">https://github.com/staceykigar/meningeal_neut/</a></p> <p>We also provide a processed dataset (processed.RData) with assays 'counts' and 'logcounts' which is the processed single cell object saved at line "# Save object for upload to Zenodo" in script <a href="https://github.com/staceykigar/meningeal_neut/">https://github.com/staceykigar/meningeal_neut/</a>neutrophilstress01.Rmd </p> <p>Cluster annotations are in sce$Annotation</p> <p>Neutrophil subcluster annotations are in sce$Subcluster</p> <p>Sample condition is in sce$cond, where "HC" indicates homecage control and "SD" indicates chronic social defeat</p> <p>10X chip lane is in sce$group</p>
Enhancing Collaborative Care in Schizophrenia: A Comparative Analysis of ICF Core Sets Assessments by Occupational Therapy and Mental Health Social Work Students
<p>This repository contains the R code, dataset, and README file for the network analysis of ICF (International Classification of Functioning, Disability, and Health) assessments. The study compares the assessments conducted by occupational therapy students and mental health social work students, analyzing centrality measures and Bridge Expected Influence within their respective networks.</p>
Dataset of the article: "The social dimension of equine welfare: social contact positively affects the emotional state of stalled horses"
<p>Here are the data used in the analyses of the manuscript "The social dimension of equine welfare: social contact positively affects the emotional state of stalled horses.".<br>Experiment 1: Observations in the individual stall<br>Experiment 2: Observations during horse grooming<br>Experiment 3: Judgement bias test</p>
Dataset Questionnaire Social Media Marketing Activities, Brand Loyalty, Brand Trust, Brand Equity, and Industry Fashion In Indonesia
<p>The following dataset is a dataset from a study that investigated Social Media Marketing Activities, Brand Loyalty, Brand Trust, and, Brand Equity in the context of fashion industry in Indonesia.</p>
Dataset from: Parental mediation and the use of social networks: A systematic review
<p>Translation of the previous file: aplicación_criterios_elegibilidad_sin_duplicados and modification of an error detected during the review process. </p>
The impact of social complexity on the efficacy of natural selection in termites
<p>This repository contains the dataset and markdown files necessary to reproduce the analysis conducted for the article entitled <em>Social evolution in termites reduces natural selection efficacy</em> (NEW TITLE: <em>The impact of social complexity on the efficacy of natural selection in termites</em>). It includes both raw and processed data, as well as all scripts used in the analysis, organized by the order of execution. Instructions for setting up the environment and running the scripts are provided to facilitate replication of the results.</p> <p>Here, we look at the distribution of dN/dS within Blattodea and Isoptera in order to test for a positive relationship with eusociality.</p> <p>The file <strong>analysis.html</strong> is a R-markdown file describing step by step the analysis of the submitted manuscript. To reproduce the analysis, all files have to be downloaded within the same directory.</p> <p>For any further information or questions, please contact camille.roux@univ-lille.fr or jonathan.romiguier@umontpellier.fr.</p> <p>Please cite this repository if you use these materials in your research.</p>
The European Language Social Science Thesaurus (ELSST)
<p>The European Language Social Science Thesaurus (ELSST) is a broad-based, multilingual thesaurus for the social sciences. It is owned and published by the Consortium of European Social Science Data Archives (CESSDA) and its national Service Providers. The thesaurus consists of over 3,400 concepts and covers the core social science disciplines: politics, sociology, economics, education, law, crime, demography, health, employment, information and communication technology, and environmental science.</p> <p>ELSST is used for data discovery within CESSDA and facilitates access to data resources across Europe, independent of domain, resource, language or vocabulary.</p> <p><strong><em>Recommended Citation</em></strong>: CESSDA and Service Providers (2024) The European Language Social Science Thesaurus (ELSST) (Version 5), <a href="https://elsst.cessda.eu">https://elsst.cessda.eu</a>. DOI: 10.5281/zenodo.13843400</p>
Data files for: Reproductive and ecological adaptations to climate underpin the evolution of sociality in lizards
<p>This repository contains data files and R code neccessary to reproduce the analyses presented in "Reproductive and ecological adaptations to climate underpin the evolution of sociality in lizards" by Halliwell et al.</p> <p>The .R file calls other files within the repository. The .xlsx contains supplementary information regarding data sources.</p>
Data: Social tolerance and role model diversity increase tool use learning opportunities across chimpanzees ontogeny.
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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.
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.