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Census data, household surveys, labor market, crime statistics, inequality, immigration
22,945 datasets
Data and code from a Journal of Avian Biology manuscript by Tori Mezebish Quinn, last updated May 2026. The dataset contains GPS telemetry data used to analyze spring migration strategies of American black ducks, Atlantic brant, and greater scaup. It quantifies interspecific, interindividual, and annual variation in metrics like migration initiation date, duration, and stopover behavior.
March and May 2025 survey of the Ogun River in Ogun State, Nigeria, conducted as part of the EU Horizon UAWOS project. The dataset measures water surface elevation, river depth, and surface velocity using specialized Unmanned Aircraft System payloads. Data is shared by author David Gustafsson in raw and processed point data formats.
A systematic review and meta-analysis of 28 randomized controlled trials involving 98,297 participants, published by Jing Teng in 2026, assesses the long-term safety of SGLT2 inhibitors regarding cancer risk. The analysis found no significant increase in overall cancer risk or in several common cancer types among patients with Type 2 diabetes, heart failure, or chronic kidney disease. The underlying data for this meta-analysis was sourced from PubMed, CENTRAL, Web of Science, and ClinicalTrials.gov up to April 16, 2024.
Jing Teng's systematic review and meta-analysis assesses the long-term safety of Sodium-glucose cotransporter 2 (SGLT2) inhibitors regarding cancer risk in patients with Type 2 diabetes, heart failure, and chronic kidney disease. The analysis includes 28 randomized controlled trials with 98,297 participants, with studies published up to April 16, 2024. The results, including pooled risk ratios, are compiled in a DOCX document.
A systematic review and meta-analysis document assessing the long-term safety of Sodium-glucose cotransporter 2 (SGLT2) inhibitors concerning cancer risk in specific patient populations. The document includes results from 28 randomized controlled trials involving 98,297 participants, published by author Jing Teng and last updated in May 2026. It reports pooled risk ratios for overall cancer risk and specific cancer types in patients with Type 2 diabetes, heart failure, and chronic kidney disease.
Jing Teng's systematic review and meta-analysis assesses the long-term safety of Sodium-glucose cotransporter 2 (SGLT2) inhibitors regarding cancer risk in patients with Type 2 diabetes, heart failure, and chronic kidney disease. The analysis includes 28 randomized controlled trials with 98,297 participants, published up to April 16, 2024. The dataset is a DOCX document containing the full meta-analysis results, registered in PROSPERO (CRD42024560310).
28 randomized controlled trials involving 98,297 participants form the basis of this systematic review on the cancer risk of SGLT2 inhibitors. The meta-analysis, registered as CRD42024560310, found no significant increase in overall cancer risk (RR=1.05) or in several common cancer types. Author Jing Teng published the results on figshare in May 2026.
Pengcheng Zhao's dataset, last updated May 8, 2026, reports concentrations of labile and refractory particulate trace elements from the GEOTRACES GA08 transect on the southwest African shelf and slope. It includes data for gallium, germanium, beryllium, tellurium, tin, antimony, strontium, and thallium, with concentrations ranging from 10^-1 to 10^3 pmol L^-1. The data provides an integrated framework for the cycling of these elements, detailing source mixing and particle reactivity.
A systematic review and meta-analysis of 28 randomized controlled trials published up to April 16, 2024, involving 98,297 participants. The study, authored by Jing Teng and registered in PROSPERO, assesses the long-term safety of SGLT2 inhibitors regarding cancer risk in patients with Type 2 diabetes, heart failure, and chronic kidney disease.
Eight underexplored particulate trace elements (Ga, Ge, Be, Te, Sn, Sb, Sr, Tl) were measured along the GEOTRACES GA08 transect. Concentrations ranged from 10ā»Ā¹ to 10Ā³ pmol Lā»Ā¹, with distinct spatial patterns for labile and refractory fractions. The dataset was authored by Pengcheng Zhao and last updated on 2026-05-08.
A Discrete Choice Experiment questionnaire designed to measure the importance of job attributes for Swiss registered nurse graduates. The dataset includes results from two pretests involving 67 and 53 students, respectively, and contains socio-demographic data and responses to 18 choice sets. The instrument was developed by Jana Bartakova and published under a CC-BY-4.0 license in May 2026.
A Discrete Choice Experiment questionnaire was developed and pretested to weight the job attribute preferences of Swiss registered nurse undergraduates. The final instrument includes nine attributes with two or three levels, presented across 18 choice sets. Two pretests involved 67 and 53 graduating students, respectively, leading to wording refinements and confirming a survey completion time of 15ā30 minutes.
A Discrete Choice Experiment survey was developed and pretested to measure the importance of job attributes for Swiss registered nurse graduates. The final instrument included nine attributes with two or three levels, presented in 18 choice sets. Two pretests involved 67 and 53 graduating students, leading to wording refinements and confirming a 15ā30 minute completion time.
A 2026 study by Nan Zhang presents cross-sectional survey data from 7,668 adults aged 35 and older in the southwestern plateau areas of China. The dataset includes prevalence, awareness, treatment, and control rates for hypertension, dyslipidemia, and diabetes, and examines their associations with altitude and sociodemographic factors.
A dataset supporting research on AI-generated digital re-creation of traditional Chinese folk art. It was created by Jiangxu Zhang and last updated on 2026-05-27. The dataset is 5.5 KB in size and is available in XLS format under a CC-BY-4.0 license.
A dataset supporting the AI-generated digital re-creation of traditional Chinese Zhuxian Town New Year pictures. It was created by Jiangxu Zhang and last updated on 2026-05-27. The dataset is small at 5.5 KB and is stored in an XLS file format.
Zhuxian Town in China is the case study for this dataset, which contains results from a Friedman test of CFG parameters used in AI-generated digital re-creation of traditional folk art. The dataset was authored by Jiangxu Zhang and last updated on May 27, 2026. It is a small dataset of 5.5 KB stored in an XLS file.
A three-layer keyword thesaurus constructed through literature analysis, questionnaire surveys, and semantic clustering supports the digital re-creation of traditional Chinese folk art. The 5.5 KB XLS file contains keyword weight rankings developed by Jiangxu Zhang and was last updated in May 2026. This dataset was built as part of a technical framework combining the Liblib platform and a LoRA model for AI-generated art.
A high-quality dataset built through a three-stage process of image acquisition, multidimensional screening, and expert review focuses on China's Zhuxian Town New Year pictures. The 5.5 KB XLS file, created by Jiangxu Zhang and last updated in 2026, supports a technical framework combining the Liblib platform and a LoRA model. It includes a three-layer keywords thesaurus constructed via literature analysis, questionnaires, and semantic clustering.
A high-quality dataset built through a three-stage process of image acquisition, screening, and expert review for AI-generated digital re-creation of traditional Chinese folk art. The dataset was created by Jiangxu Zhang and last updated on 2026-05-27. It is used to train a LoRA model that captures the stylistic features of Zhuxian Town New Year pictures.