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Legislative text, court decisions, regulatory filings, patents, government contracts, election data
7,740 datasets
573 criminal judgments involving 787 defendants were retrieved from China Judgments Online for dates from September 2019 to December 2025. The dataset, created by Zhiling Shen and last updated in May 2026, provides a reproducible sample of judicially visible healthcare corruption cases. It includes descriptive statistics on case typologies, risk nodes, and sentencing outcomes.
573 criminal judgments from China Judgments Online detail 787 defendants convicted of healthcare corruption between September 2019 and December 2025. Zhiling Shen compiled this sample to map typologies, risk nodes, and institutional mechanisms. The data reveals pharmaceutical bribery was the most common category, accounting for 46.60% of cases.
573 criminal judgments from China Judgments Online, dated from September 2019 to December 2025, involving 787 defendants. The dataset was created by Zhiling Shen and published in May 2026 to map judicially visible healthcare corruption typologies and institutional risk nodes.
573 criminal judgments involving 787 defendants, retrieved from China Judgments Online in January 2026, form a sample of judicially visible healthcare corruption. The data was compiled by Zhiling Shen using an explanatory sequential mixed-methods design, with judgments dated from September 2019 to December 2025. It clusters cases into three main categories and analyzes risk points, penalties, and institutional mechanisms.
Zhiling Shen's dataset on figshare contains 573 criminal judgments from China Judgments Online, involving 787 defendants, dated from September 2019 to December 2025. The data was collected in January 2026 and provides a reproducible sample of judicially visible healthcare corruption in China. The study identifies typologies, risk nodes, and institutional mechanisms underlying the cases.
A theoretical study by Hang Mao develops a fabric-specific application of the Cassie-Baxter model to regulate liquid water transport. The dataset includes models for apparent contact angle and wetting force in warp and weft directions, validated for predicting wetting behavior. It was last updated on June 3, 2026, and is shared under a CC-BY-4.0 license.
A survey of 1,026 Chinese college students collected via the Wenjuanxing platform, focusing on mental health adaptation. The dataset, authored by Mengzhe Song and last updated in 2026, examines the relationship between physical exercise and crisis coping, mediated by resilience and emotion regulation strategies.
A cross-sectional survey of college students collected self-reported data on physical activity, rumination, emotion regulation strategies, and sleep quality. The dataset includes results from correlation analysis and structural equation modeling, with bootstrapping used to test a chain mediation model. The data was uploaded by Yingying Gu on figshare in May 2026.
The River Supersequence dataset describes a 15-million-year stratigraphic unit within the Isa Superbasin of northern Australia. It comprises eight sequences with a maximum thickness of 3300 meters, featuring siliciclastic and carbonate facies, lowstand deposits, and syndepositional faulting. This geological data was published by the Australian Ocean Data Network and is associated with research on Zn-Pb-Ag mineralisation.
Spatial boundaries and attributes for unregulated river water sources under legally binding Water Sharing Plans in New South Wales. The dataset is an aggregation derived from In Force plans made under the Water Management Act 2000, provided by the NSW Department of Climate Change, Energy, the Environment and Water. The authoritative source for legal interpretation remains the official legislation.
NSW Administrative Boundaries Theme – State Electoral District 2013 is a retired geospatial dataset from Spatial Services, a business unit of the Department of Customer Service NSW. It represents a snapshot of electoral boundaries formalised in the 2013 redistribution and retired before the 2023 state election. The dataset was captured using sources at scales from 1:500 to 1:250,000 and is no longer maintained.
The Administrative Boundaries theme from the NSW Foundation Spatial Data Framework (FSDF) is a collection of legislative, regulatory, political, maritime, and general administrative boundaries for New South Wales, Australia. It includes boundaries for Parish, County, Suburb, Local Government Area, State Electoral District, and Federal Electoral Division. This dataset is a hosted feature layer, but the listed GDA94 service is scheduled for retirement, with users directed to transition to a newer GDA2020 version.
Monitoring sites for rivers and lakes in Northern Ireland, used for classification under the Water Framework Directive (WFD) regulations. The attribute table includes the years each site was used for classification, with data updated from the 2nd cycle 2016 submission to the European Environment Agency. Each site is a fixed point with a GPS accuracy of less than 10 meters.
Canadian federal government Supplementary Estimates (A) for the 2026-27 fiscal year, published by the Treasury Board of Canada Secretariat. These estimates detail new spending requirements not included in the Main Estimates, such as funding for previously planned initiatives or urgent unforeseen needs like natural disasters. The data was last updated on May 28, 2026, and is released as part of the normal parliamentary approval process, supporting an appropriation act.
A qualitative research article analyzing potential negative effects of artificial intelligence in Kazakhstan's public sector. The study combines normative-institutional analysis of legal frameworks with secondary analysis of 53 semi-structured interviews with civil servants. The work, authored by Malika Buribayeva and licensed under CC-BY-4.0, was last updated on 2026-05-25.
A mixed-methods research dataset of 405 survey participants, 12 expert interviews, and 6 focus groups with 35 participants from Ecuador. The study analyzes how media and information literacy levels among vulnerable groups condition exposure and responses to AI-generated electoral disinformation ahead of the 2025 presidential elections. The dataset was authored by Abel Suing and last updated on May 18, 2026.
A mixed-methods research dataset from a study of 405 survey participants, 12 expert interviews, and six focus groups with 35 participants in Ecuador. The research analyzes how media and information literacy levels among vulnerable groups condition exposure to AI-generated electoral disinformation ahead of the 2025 presidential elections. The dataset was created by Abel Suing and last updated in May 2026.
405 survey participants, 12 expert interviews, and 6 focus groups with 35 participants were analyzed to examine media literacy levels among vulnerable groups in Ecuador regarding AI-generated electoral disinformation for the 2025 presidential elections. The research employed a mixed-methods approach, combining descriptive statistics, non-parametric tests, and qualitative thematic analysis. The dataset, authored by Abel Suing and last updated in May 2026, is shared under a CC-BY-4.0 license.
Abel Suing's research dataset from 2026 investigates media and information literacy levels among vulnerable groups in Ecuador regarding AI-generated electoral disinformation. The dataset is based on a mixed-methods study involving a survey of 405 participants, 12 expert interviews, and 6 focus groups with 35 participants. The analysis includes descriptive statistics, non-parametric tests, correlations, and qualitative thematic analysis.
A multi-omics dataset from figshare, created by Chao Jiang and last updated on 2026-05 31. It contains metabolomic and transcriptomic profiles from four fresh-eating maize cultivars with contrasting kernel colors (white, yellow, multicolored, black). The data was generated to investigate the molecular mechanisms underlying anthocyanin pigment accumulation.