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.
434
datasets available to search
ShareScore release 0.9.0
Dataset results
434 results for “Social media”
dataset literature review on cyberlaw and social media
<p>merupakan dataset dari literature review tentang cyber law and social media</p>
Using social media and personality traits to assess software developers' emotions
<p>Companion DATA</p> <p>Title:<br> Using social media and personality traits to assess software developers' emotions</p> <p>Authors: <br> Leo Moreira Silva<br> Marília Gurgel Castro<br> Miriam Bernardino Silva<br> Milena Nestor Santos<br> Uirá Kulesza<br> Margarida Lima<br> Henrique Madeira</p> <p>Journal:<br> PeerJ Computer Science</p> <p>Github:<br> <a href="https://github.com/leosilva/peerj_computer_science_2022">https://github.com/leosilva/peerj_computer_science_2022</a></p> <p>------------------------------------------------------------<br> The folders contain:</p> <p>Experiment_Protocol.pdf: document that present the protocol regarding recruitment protocol, data collection of public posts from Twitter, criteria for manual analysis, and the assessment of Big Five factors from participants and psychologists. English version.</p> <p><br> /analysis<br> analyzed_tweets_by_psychologists.csv: file containing the manual analysis done by psychologists<br> analyzed_tweets_by_participants.csv: file containing the manual analysis done by participants<br> analyzed_tweets_by_psychologists_solved_divergencies.csv: file containing the manual analysis done by psychologists over 51 divergent tweets' classifications</p> <p><br> /dataset<br> alldata.json: contains the dataset used in the paper</p> <p>/ethics_committee<br> committee_response_english_version.pdf: contains the acceptance response of Research Ethics and Deontology Committee of the Faculty of Psychology and Educational Sciences of the University of Coimbra. English version.<br> committee_response_original_portuguese_version: contains the acceptance response of Research Ethics and Deontology Committee of the Faculty of Psychology and Educational Sciences of the University of Coimbra. Portuguese version.<br> committee_submission_form_english_version.pdf: the project submitted to the committee. English version.<br> committee_submission_form_original_portuguese_version.pdf: the project submitted to the committee. Portuguese version.<br> consent_form_english_version.pdf: declaration of free and informed consent fulfilled by participants. English version.<br> consent_form_original_portuguese_version.pdf: declaration of free and informed consent fulfilled by participants. Portuguese version.<br> data_protection_declaration_english_version.pdf: personal data and privacy declaration, according to European Union General Data Protection Regulation. English version.<br> data_protection_declaration_original_portuguese_version.pdf: personal data and privacy declaration, according to European Union General Data Protection Regulation. Portuguese version.</p> <p>/notebooks<br> General - Charts.ipynb: notebook file containing all charts produced in the study, including those in the paper<br> Statistics - Lexicons and Ensembles.ipynb: notebook file with the statistics for the five lexicons and ensembles used in the study<br> Statistics - Linear Regression.ipynb: notebook file with the multiple linear regression results<br> Statistics - Polynomial Regression.ipynb: notebook file with the polynomial regression results<br> Statistics - Psychologists versus Participants.ipynb: notebook file with the statistics between the psychologists and participants manual analysis<br> Statistics - Working x Non-working.ipynb: notebook file containing the statistical analysis for the tweets posted during work period and those posted outside of working period</p> <p><br> /surveys<br> Demographic_Survey_english_version.pdf: survey inviting participants to enroll in the study. We collect demographic data and participants' authorization to access their public Tweet posts. English version.<br> Demographic_Survey_portuguese_version.pdf: survey inviting participants to enroll in the study. We collect demographic data and participants' authorization to access their public Tweet posts. Portuguese version.<br> Demographic_Survey_answers.xlsx: participants' demographic survey answers<br> ibf_pt_br.doc: the Portuguese version of the Big Five Inventory (BFI) instrument to infer participants' Big Five polarity traits.<br> ibf_en.doc: translation in English of the Portuguese version of the Big Five Inventory (BFI) instrument to infer participants' Big Five polarity traits.<br> ibf_answers.xlsx: participantes' and psychologists' answers for BFI</p> <p><br> ------------------------------------------------------------</p> <p>We have removed from dataset any sensible data to protect participants' privacy and anonymity.<br> We have removed from demographic survey answers any sensible data to protect participants' privacy and anonymity.</p>
Modelling Political Aggression On Social Media Platforms
<p>This dataset was curated from social media for the purpose of research. LICENSE: CC-BY-SA-NC 4.0</p>
Exploring Korean adolescent stress on social media: A semantic network analysis
<p><strong>Korean Adolescent's Stress Semantic Network Analysis Project</strong></p> <p>Semantic Network Analysis for Korean Adolescent's Stress</p> <p>Input data file</p> <ul> <li>data_news.csv : News data collected from Naver(<a href="https://www.naver.com">https://www.naver.com</a>)</li> <li>data_blog.csv : Blog data collected from Naver(<a href="https://www.naver.com">https://www.naver.com</a>) and Daum(<a href="https://www.daum.net">https://www.daum.net</a>)</li> </ul> <p>Output files</p> <ul> <li>Frequency Table of Each word in Documents (<em><strong>freq_news.csv</strong></em>, <em><strong>freq_blog.csv</strong></em>)</li> <li>TF-IDF(Term Frequency-Inverse Document Frequency) Table of Each word in Documents (<em><strong>tfidf_news.csv</strong></em>, <em><strong>tf_idf_blog.csv</strong></em>)</li> <li>Frequency Table of 30 keywords in Documents (<em><strong>freq_news_30.csv</strong></em>, <em><strong>freq_blog_30.csv</strong></em>)</li> <li>DTM(Document Term Matrix) of 30 keywords in Documents (<em><strong>DTM_news_30.csv</strong></em>, <em><strong>DTM_blog_30.csv</strong></em>)</li> <li>COM(Co-Occurrence Matrix) of 30 keywords in Documents (<em><strong>COM_news_30.csv</strong></em>, <em><strong>COM_blog_30.csv</strong></em>)</li> <li>Binary COM of 30 keywords in Documents (<em><strong>BinaryCOM_news_30.csv</strong></em>, <em><strong>BinaryCOM_blog_30.csv</strong></em>)</li> <li>Centrality Table of 30 keywords in Documents (<em><strong>centrality_news_30.csv</strong></em>, <em><strong>centrality_blog_30.csv</strong></em>)</li> </ul>
Using social media and personality traits to assess software developers' emotional polarity
<p>Companion DATA</p> <p>Title:<br> Using social media and personality traits to assess software developers' emotional polarity</p> <p>Authors: <br> Leo Moreira Silva<br> Marília Gurgel Castro<br> Miriam Bernardino Silva<br> Milena Santos<br> Uirá Kulesza<br> Margarida Lima<br> Henrique Madeira</p> <p>Journal:<br> PeerJ Computer Science</p> <p>Github:<br> <a href="https://github.com/leosilva/peerj_computer_science_2022">https://github.com/leosilva/peerj_computer_science_2022</a></p> <p>------------------------------------------------------------<br> The folders contain:</p> <p>Experiment_Protocol.pdf: document that present the protocol regarding recruitment protocol, data collection of public posts from Twitter, criteria for manual analysis, and the assessment of Big Five factors from participants and psychologists. English version.</p> <p><br> /analysis<br> analyzed_tweets_by_psychologists.csv: file containing the manual analysis done by psychologists<br> analyzed_tweets_by_participants.csv: file containing the manual analysis done by participants<br> analyzed_tweets_by_psychologists_solved_divergencies.csv: file containing the manual analysis done by psychologists over 51 divergent tweets' classifications</p> <p><br> /dataset<br> alldata.json: contains the dataset used in the paper</p> <p>/ethics_committee<br> committee_response_english_version.pdf: contains the acceptance response of Research Ethics and Deontology Committee of the Faculty of Psychology and Educational Sciences of the University of Coimbra. English version.<br> committee_response_original_portuguese_version: contains the acceptance response of Research Ethics and Deontology Committee of the Faculty of Psychology and Educational Sciences of the University of Coimbra. Portuguese version.<br> committee_submission_form_english_version.pdf: the project submitted to the committee. English version.<br> committee_submission_form_original_portuguese_version.pdf: the project submitted to the committee. Portuguese version.<br> consent_form_english_version.pdf: declaration of free and informed consent fulfilled by participants. English version.<br> consent_form_original_portuguese_version.pdf: declaration of free and informed consent fulfilled by participants. Portuguese version.<br> data_protection_declaration_english_version.pdf: personal data and privacy declaration, according to European Union General Data Protection Regulation. English version.<br> data_protection_declaration_original_portuguese_version.pdf: personal data and privacy declaration, according to European Union General Data Protection Regulation. Portuguese version.</p> <p>/notebooks<br> General - Charts.ipynb: notebook file containing all charts produced in the study, including those in the paper<br> Statistics - Lexicons and Ensembles.ipynb: notebook file with the statistics for the five lexicons and ensembles used in the study<br> Statistics - Linear Regression.ipynb: notebook file with the multiple linear regression results<br> Statistics - Polynomial Regression.ipynb: notebook file with the polynomial regression results<br> Statistics - Psychologists versus Participants.ipynb: notebook file with the statistics between the psychologists and participants manual analysis<br> Statistics - Working x Non-working.ipynb: notebook file containing the statistical analysis for the tweets posted during work period and those posted outside of working period</p> <p><br> /surveys<br> Demographic_Survey_english_version.pdf: survey inviting participants to enroll in the study. We collect demographic data and participants' authorization to access their public Tweet posts. English version.<br> Demographic_Survey_portuguese_version.pdf: survey inviting participants to enroll in the study. We collect demographic data and participants' authorization to access their public Tweet posts. Portuguese version.<br> Demographic_Survey_answers.xlsx: participants' demographic survey answers<br> ibf_pt_br.doc: the Portuguese version of the Big Five Inventory (BFI) instrument to infer participants' Big Five polarity traits.<br> ibf_en.doc: translation in English of the Portuguese version of the Big Five Inventory (BFI) instrument to infer participants' Big Five polarity traits.<br> ibf_answers.xlsx: participantes' and psychologists' answers for BFI</p> <p><br> ------------------------------------------------------------</p> <p>We have removed from dataset any sensible data to protect participants' privacy and anonymity.<br> We have removed from demographic survey answers any sensible data to protect participants' privacy and anonymity.</p>
Social media occurrences of the Banded Demoiselle in Great Britain
<p>Social media offers an alternative, freely available and understudied source of biological information, useful to determine species distributions and with implications for conservation. To investigate the potential utility of this information source, UK observations of the Banded Demoiselle – a charismatic and easily identifiable species of damselfly – were collated from Flickr, Facebook, and Twitter content posted from 2010 onwards. Although this content was not necessarily intended as a biological record, when an identifiable photograph or video is shared along with associated date and location information, this provides all the data required for a species observation. This dataset provides key information on the Banded Demoiselle's UK distribution that can complement traditional sources of biological recording and demonstrates the availability and applicability of social media as a source of ecological data.</p>
A Social Media Intervention for Exercise Motivation and Cardiac Rehabilitation Adherence
ClinicalTrials.gov study NCT02971813. IPD Sharing: YES. Countries: 1. Publications: 35.
Using Social Media to Deliver HIV Self-Testing Kits and Link to Online PrEP Services
ClinicalTrials.gov study NCT04155502. IPD Sharing: YES. Countries: 1. Publications: 2.
Parental Research on Interventions for Social Media
ClinicalTrials.gov study NCT04333966. IPD Sharing: NO. Countries: 1. Publications: 14.
Social Media for Colorectal Cancer Screening
ClinicalTrials.gov study NCT04296630. IPD Sharing: NO. Countries: 1. Publications: 0.
Social Media-Delivered Patient Education in Enhancing Type 2 Diabetics Self-Management and Attitudes During the COVID-19 Pandemic
ClinicalTrials.gov study NCT04876274. IPD Sharing: NO. Countries: 1. Publications: 1.
Change in Social Media Use and Well-being Among College Students Receiving a One-week Exercise or Mindfulness Intervention
ClinicalTrials.gov study NCT06143852. IPD Sharing: YES. Countries: 1. Publications: 5.
Social Media and Cancer Screening Information
ClinicalTrials.gov study NCT06712901. IPD Sharing: YES. Countries: 1. Publications: 0.
InTSHA: Interactive Transition Support for HIV-infected Adolescents Using Social Media
ClinicalTrials.gov study NCT03624413. IPD Sharing: YES. Countries: 1. Publications: 1.
Social Media Based Peer-Led Intervention for HIV Prevention
ClinicalTrials.gov study NCT03213366. IPD Sharing: NO. Countries: 1. Publications: 1.
Social Media Use During COVID-19
ClinicalTrials.gov study NCT04305574. IPD Sharing: NO. Countries: 1. Publications: 1.
A Crowdsourced Social Media Portal for Parents of Very Young Children With Type 1 Diabetes
ClinicalTrials.gov study NCT03222180. IPD Sharing: YES. Countries: 1. Publications: 4.
Social-Media Intervention in Reducing Tanning in High-Risk Tanners
ClinicalTrials.gov study NCT03441321. IPD Sharing: NO. Countries: 1. Publications: 1.
Social Media Indoor Tanning Study
ClinicalTrials.gov study NCT03834974. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Project Minority AIDS Prevention: Reaching Black and Hispanic MSM About PrEP and TasP Using Social Media
ClinicalTrials.gov study NCT03404531. IPD Sharing: YES. Countries: 1. Publications: 1.
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.