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News corpora, social media analysis, movie/music metadata, sports data, cultural datasets, misinformation
12,166 datasets
Over 15,000 works of art from the UK Government Art Collection, which has been acquiring art for over 100 years. The data includes details on artist, title, subject, location, provenance, and descriptions for works displayed in British Government buildings worldwide. The dataset is provided by the Department for Digital, Culture, Media and Sport and was last updated on 2026-06-19.
Data from a study investigating the anticancer effects of Bruceine D on prostate cancer cell lines PC-3 and C4-2B. The dataset includes results from assays measuring proliferation, migration, invasion, apoptosis, RNA sequencing, and a subcutaneous xenograft model in nude mice. It was authored by Zhiwei Chen and last updated on June 1, 2026.
A research dataset from paperswithcode by Edoardo Del Poggetto investigates the anticancer macrolide salarin C. The study examines its effects on chronic myeloid leukemia cells, particularly after incubation in 0.1% oxygen, measuring outcomes like apoptosis and stem cell potential inhibition. The work suggests a potential use for suppressing cells refractory to standard tyrosine kinase inhibitors.
A systematic review and meta-analysis of 18 clinical trials involving 4,441 participants, assessing the efficacy and safety of immune checkpoint inhibitor (ICI) combination therapies for advanced cervical cancer. The study, authored by Fan Shi and uploaded to figshare, analyzes outcomes including objective response rate, progression-free survival, and adverse events. The data was last updated on May 25, 2026.
A systematic review and meta-analysis of randomized controlled trials comparing drug-coated balloons (DCB) and drug-eluting stents (DES) for coronary artery disease, published in 2026. The dataset includes pooled outcomes from 23 trials comprising 8,123 patients, with subgroup analyses by lesion type, vessel size, and clinical presentation. The data was compiled by author Yuting Wang.
Twenty-three randomized controlled trials with 8,123 patients compare drug-coated balloons and drug-eluting stents for coronary artery disease. This systematic review and meta-analysis, authored by Yuting Wang and updated in May 2026, provides lesion-specific efficacy and safety outcomes. It includes subgroup analyses for lesion type, vessel size, clinical presentation, and balloon drug type.
23 randomized controlled trials comprising 8,123 patients compare drug-coated balloons (DCB) and drug-eluting stents (DES) for coronary artery disease. The dataset, uploaded by Yuting Wang in May 2026, contains pooled results for major adverse cardiac events, target lesion revascularization, and other clinical endpoints, with subgroup analyses by lesion type and drug coating.
A systematic review and meta-analysis of 23 randomized controlled trials comprising 8,123 patients, comparing drug-coated balloons (DCB) and drug-eluting stents (DES) for coronary artery disease. The analysis, conducted by Yuting Wang and last updated in May 2026, includes lesion-specific and presentation-specific outcomes. It synthesizes data from PubMed, Embase, CENTRAL, and Web of Science from inception to March 2026.
Yuting Wang's meta-analysis compares the efficacy and safety of drug-coated balloons (DCB) versus drug-eluting stents (DES) for coronary artery disease. The dataset aggregates results from 23 randomized controlled trials comprising 8,123 patients, sourced from PubMed, Embase, CENTRAL, and Web of Science up to March 2026. It was last updated on May 18, 2026.
A systematic review and meta-analysis of 19 randomized controlled trials involving 1,690 adult participants, evaluating the effect of repetitive transcranial magnetic stimulation (rTMS) on Insomnia Disorder. The document synthesizes results on sleep quality measures like PSQI and ISI scores, comparing rTMS to sham treatment and medication. It was authored by ZhiGang Cao and last updated on 2026-06-01.
27.6% ± 1.1% yields of levulinic acid were achieved using a synthetic hexose mixture mimicking beet molasses. The research by F. Pinto-Ibieta details the optimization of aeration rate and organic loading rate for mixed microbial cultures under feast-famine regimes. The dataset was last updated on June 1, 2026.
An international survey of 1,075 esports players, including 402 who identified as neurodivergent, collected data on mental health outcomes across competitive tiers. The secondary analysis examined differences in well-being, depression, anxiety, and sleep disturbance between neurodivergent and neurotypical players. The dataset was authored by Lucas Van Ruysevelt and last updated in June 2026.
Longitudinal data from the US Health and Retirement Study and English Longitudinal Study of Ageing examines the link between depressive symptoms and incident disability. The analysis includes 484 incident ADL disability cases in ELSA and 1,525 in HRS, using multivariable Cox models and mediation analysis. Jingxuan Cui published the research findings on figshare in June 2026.
271,000 DBpedia persons and organizations are aligned to their Twitter profiles via a pipeline of data acquisition, candidate acquisition, and candidate selection. The dataset, created by Yaroslav Nechaev, contains alignment data, entity data, and code in CSV and JSON formats from a release dated 15th May 2017. It bridges the Twitter social media world and the Linked Open Data cloud to enable knowledge transfer between Semantic Web and social media research.
Monika Steidl from Universität Innsbruck compiled a dataset from a multivocal literature review of 151 formal and informal sources and nine semi-structured interviews. The dataset provides a foundation for comparing terminologies for DevOps, CI/CD for AI, MLOps, and lifecycle management. It also includes potential triggers for pipeline reiteration and consolidated tasks for a continuous end-to-end lifecycle pipeline.
Engagement metrics for posts on Instagram profiles of 11 Brazilian state Destination Marketing Organizations. Data was collected via data mining over a one-year period between December 2017 and December 2018, measuring total publications, likes, and comments. The research was conducted by Maria Raquel Melo de Miranda Avelino.
#Polar scores provide a novel approach to measuring political polarization using Twitter content. The dataset contains 55,244 tweets used to develop the algorithm, with fields including tweet metadata, user information, and party labels. The method and open-source Python code were developed by Aron Culotta and colleagues for the Journal of Information Technology & Politics.
The dataset covers institutional Twitter discourse about mobility during the COVID-19 crisis. It was created by Marie‐Ève Bélanger at the University of Geneva to analyze how political actors justified mobility decisions. The project aims to understand the tension between national interest and transnational solidarity in crisis policy.
High-pressure powder X-ray diffraction data collected at the ID15B beamline of the European Synchrotron Radiation Facility underpins this study. The repository supports research on how cubic zeolites, with and without an occluded organic additive, respond to pressure stimuli. Antony Nearchou from the University of Bath authored the associated article.
A research dataset of 203 adolescents grouped by systolic and diastolic blood pressure into prehypertension and normotensive categories. The data includes anthropometric, cardiovascular, and sleep quality characteristics, analyzed using statistical tests and logistic regression. The study was authored by Sara Raquel Dutra-Macêdo and uses R software for analysis.