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Census data, household surveys, labor market, crime statistics, inequality, immigration
22,982 datasets
Reef polygons were manually digitized from multibeam echosounder datasets collected on marine surveys GA0345, GA0346, and TAN1411 in October and November 2014. Features were mapped at a scale of 1:10,000 using bathymetry, backscatter data, and derivatives like slope and hillshaded bathymetry. This dataset is published with the permission of the CEO, Geoscience Australia.
Geoscience Australia, AIMS, and the Northern Territory Government collected this probability of rocky/hard seabed grid for Outer Darwin Harbour from 28 May to 23 June 2015. The dataset is a derived product from multibeam sonar angular backscatter data, part of a four-year (2014-2018) marine environmental baseline program funded by the INPEX-led Ichthys LNG Project. Data acquisition included multibeam bathymetry, seabed sediment samples, underwater imagery, and oceanographic tidal information.
3,707,047 women from 19 observational studies are included in this meta-analysis on the association between maternal body mass index and early-onset group B Streptococcus disease. The dataset, created by Elisabeth Emanuel Graae and last updated in May 2026, contains meta-regression results showing a 2.4% increase in odds ratio per BMI unit increase. It is stored in an XLS file with a size of 17.5 KB.
Global, Newcastle upon Tyne, and Dar es Salaam experiments provide data artefacts for a sample-free population synthesis framework using large language models. The 18.1 MB dataset includes inputs, outputs, prompts, and evaluation results from experiments across 109 countries and two detailed city case studies. Author Michael Jones published the data on figshare in April 2026 under a CC-BY-4.0 license.
China's state gender discourse is analyzed through 125,532 People's Daily news articles published between 1990 and 2023. The dataset, authored by Jia Wang and released in 2026, uses computational text analysis to trace semantic shifts in how women's roles in public and domestic spheres are framed. The findings highlight a discursive move toward increasingly separate spheres over the past three decades.
Yasuyuki Umezaki's dataset on figshare contains injury surveillance data from the Tohoku Collegiate American Football League in Japan. It includes baseline injury data from 2018 to 2023 and official injury reports from the 2024 season following a data-feedback workshop intervention. The 10.0 MB XLSX file was last updated on April 30, 2026.
The Tohoku Collegiate American Football League in Japan is the focus of this mixed-methods study on injury epidemiology. Yasuyuki Umezaki published the dataset on figshare in 2026, which includes injury data from 2018 to 2023 as a baseline and official reports from the 2024 season following a data-feedback workshop.
Yasuyuki Umezaki's 14.0 KB dataset contains injury surveillance data from the Tohoku Collegiate American Football League in Japan. It compares injury rates and types from a 2018-2023 baseline to the single 2024 season following a data-feedback workshop. The mixed-methods study found a proportional decrease in muscle cramps and an increase in reported head injuries post-intervention.
The Tohoku Collegiate American Football League in Japan provides injury surveillance data from 2018 to 2023, with a post-intervention analysis for the 2024 season. This mixed-methods study by Yasuyuki Umezaki, last updated in April 2026, explores the impact of a data-feedback workshop on injury reporting and safety awareness. The dataset includes pre- and post-intervention questionnaire results and official injury reports.
2018 to 2024 injury surveillance data from the Tohoku Collegiate American Football League in Japan, used to study the impact of a data-feedback workshop. The dataset was created by Yasuyuki Umezaki and includes pre- and post-intervention questionnaire responses and official injury reports from a single 2024 season. It was last updated on 2026-04-30.
The Tohoku Collegiate American Football League in Japan is the focus of this mixed-methods study on injury epidemiology. It contains injury surveillance data from 2018 to 2023 as a baseline, with official injury reports from the 2024 season following a data-feedback workshop. The dataset was authored by Yasuyuki Umezaki and last updated on 2026-04-30.
Injury data from 2018 to 2023 served as the baseline for a study exploring the impact of a data-feedback workshop in the Tohoku Collegiate American Football League in Japan. The dataset includes pre- and post-intervention questionnaire results and official injury reports from the 2024 season. Author Yasuyuki Umezaki published the data on figshare under a CC-BY-4.0 license, last updated on 2026-04-30.
Injury data from 2018 to 2023 served as the baseline for a study in the Tohoku Collegiate American Football League in Japan. The dataset was created by Yasuyuki Umezaki and last updated on 2026-04-30. It was used to explore the impact of a data-feedback workshop on injury reporting and trends in the 2024 season.
Injury surveillance data from the Tohoku Collegiate American Football League in Japan, covering the 2018 to 2023 baseline period and the 2024 post-intervention season. The dataset was created by Yasuyuki Umezaki and uploaded to figshare in April 2026. It was used in a mixed-methods study exploring the impact of a data-feedback workshop on injury reporting and trends.
A multi-omics analysis dataset from a study identifying MSR1 as a key programmed cell death and extracellular matrix-related gene in osteoarthritis pathogenesis. The dataset, 57.4 KB in size, was authored by Jinquan Bao and last updated on 2026-05-21. It results from RNA-seq analysis of OA synovial tissue from GEO databases, cross-analysis, and protein-protein interaction network studies.
MSR1 was identified as a key programmed cell death and extracellular matrix hub gene in osteoarthritis pathogenesis through integrative multi-omics analysis. The dataset likely contains results from RNA-seq analysis, differential expression, and protein-protein interaction networks from GEO databases. Author Jinquan Bao published the findings on figshare under a CC-BY-4.0 license, with a last update timestamp of 2026-05-21.
517 genes associated with osteoarthritis were identified through RNA-seq analysis of synovial tissue from the GEO databases. The dataset includes results from weighted gene co-expression network analysis (WGCNA), differential expression analysis, and protein-protein interaction networks, identifying MSR1 as a key candidate. Author Jinquan Bao published this 46.6 KB Excel file on figshare in May 2026 under a CC-BY-4.0 license.
RNA-seq data from the GEO databases was analyzed to identify genes associated with osteoarthritis pathogenesis. The dataset, created by Jinquan Bao and last updated in May 2026, includes results from weighted gene co-expression network analysis, differential expression analysis, and protein-protein interaction networks. It identifies 517 OA-associated genes and highlights MSR1 as a key candidate.
Figshare hosts a biomedical research dataset analyzing osteoarthritis pathogenesis. The data includes results from RNA-seq analysis of OA synovial tissue from GEO databases, weighted gene co-expression network analysis, and differential expression analysis identifying 517 OA-associated genes and 24 PCD/ECM-related candidates. Author Jinquan Bao uploaded this 647.4 KB Excel file in May 2026 under a CC-BY-4.0 license.
A 19.3 KB Excel file containing results from a multi-omics analysis of osteoarthritis synovial tissue. The dataset, authored by Jinquan Bao and last updated on 2026-05-21, identifies the MSR1 gene as a key regulator and proposes hesperidin as a potential therapeutic compound.