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News corpora, social media analysis, movie/music metadata, sports data, cultural datasets, misinformation
11,079 datasets
PapersWithCode hosts a dataset tagged for Agricultural Engineering, Archaeology, and Geography. The dataset's specific metadata, including its description, columns, and size, is currently unavailable. The original DOI for this record is noted as being created in error and is not attached to any published metadata.
PapersWithCode aggregates research datasets across multiple domains. This dataset's specific content and scope are not detailed in the available metadata. The description indicates the associated DOI was created in error and is not attached to any published data records.
An R package authored by Elio Campitelli, published on paperswithcode. The package likely provides functionality for adding multiple fill and colour scales to ggplot2 visualizations. Its specific version, size, and update history are unknown.
A dataset linking air pollution exposure to daily emergency department visits for depression. The data was published on paperswithcode by author Mieczysław Szyszkowicz. The specific temporal and geographic coverage, as well as the number of records, are not detailed in the available metadata.
A guide detailing the Dietary Approaches to Stop Hypertension (DASH) diet, a dietary pattern promoted for managing blood pressure. The dataset's origin, authorship, and creation date are unknown, sourced from the paperswithcode platform. Its specific content format and size are not detailed in the available metadata.
Sports data from an unspecified source, published on Kaggle. The dataset likely contains statistics and metrics related to sports teams, players, or events. Its specific content, size, and origin require verification after download.
A dataset for analyzing bias in news media, likely containing text articles or headlines. The dataset is hosted on Kaggle and is associated with platform tags for media studies, news analysis, and natural language processing. Specific details on the data's origin, size, and collection method are not provided in the available metadata.
Kaggle hosts a dataset titled ReviewToys2018. The platform tags suggest it contains text data related to toy product reviews and consumer feedback, likely for sentiment analysis tasks. The specific source, collection method, and scale of the data are not detailed in the provided metadata.
This large-scale dataset contains Weibo user activity data for depression detection, published by aidenwang9867 in 2026. It provides a collection of social media records specifically curated to identify mental health indicators within the Chinese linguistic and cultural context.
56,895 professional and semi-professional eSports players from multiple countries are included in this dataset. It combines demographic information with performance outcomes measured through prize earnings to study the Relative Age Effect. The data were used to estimate the effect of birth timing on financial success using regression and Causal Random Forest methods.
538475 market data provides a sample of restaurant reviews from highly active users. The dataset focuses on the top 30% of reviewers, termed 'whales'. It originates from BeamStation as a free market data sample.
A sample of restaurant market data from BeamStation, focusing on the top 30% most active reviewers for a specific market identified as 549439. The dataset's full size, creator, and update history are not specified.
Wearable-driven adaptive fitness and injury prediction data. The dataset contains sensor readings and derived metrics from wearable devices, likely used to model athlete performance and health risks. The author, organization, and specific volume are unknown.
review-chekpoints--2026-04-10--13221-13221 is a dataset published on Kaggle. The title suggests it likely contains information related to model checkpoints or evaluation points, possibly from a review process. The dataset's specific content, size, and structure require verification after download.
A systematic review paper published in PLoS Medicine presents an evidence-based typology categorizing mistreatment of women during childbirth in health facilities. The typology examines mistreatment at the level of provider-patient interactions and through systemic failures at health facility and system levels. The paper was authored by Meghan A. Bohren.
Twitter data sourced from the Kaggle platform. The dataset likely contains user-generated content such as tweets, metadata, or interaction records. Specific details on volume, author, and update recency are unavailable from the provided metadata.
Kaggle hosts a dataset titled 'review_dataset'. The dataset's author, organization, and specific content details are not provided in the metadata. Its last update date and size are also unknown.
ReviewMovie2018 is a dataset of movie reviews published on Kaggle. The dataset's content and scale are not detailed in the provided metadata. Its specific origin, size, and structure require verification after download.
A dataset titled 'MetaMovie2018' is hosted on Kaggle. The dataset's content, size, and specific attributes are not described in the provided metadata. Its origin, creation date, and detailed contents require verification after download.
A sample of restaurant market data from the BeamStation platform. The dataset title suggests it focuses on the most active 30% of reviewers, described as 'whales', in Nevada (NV). The dataset's specific size, columns, and creation details are not provided.