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DNA/RNA sequences, gene expression, protein structures, metagenomics, single-cell sequencing
23,009 datasets
A multi-omics study integrated scRNA-seq data from MG patients and healthy controls with GWAS summary data and expression quantitative trait loci from public databases. The dataset, published by Shuang Li on figshare in 2026, contains results from a machine learning benchmark that identified six signature genes associated with a pathogenic monocyte subset. It focuses on the role of CFD+CD14+ monocytes in myasthenia gravis pathogenesis.
A multi-omics integration study identified six signature genes in a potential pathogenic monocyte subset for myasthenia gravis. The dataset contains results from transcriptome-wide association studies and single-cell RNA sequencing analyses of peripheral blood from patients and healthy controls. The data was authored by Shuang Li and last updated on 2026-05-01.
A dataset of 287,269 cells from seven healthy human heart donors, analyzed to infer cell-cell communication networks across the four cardiac chambers. The data was processed using the HeartMAP computational framework, which integrates single-cell RNA-seq co-expression patterns with ligand-receptor interaction databases. The framework and associated data were last updated in May 2026.
A 230.0 KB PDF document by Vivien Jiaqian Zhu, last updated May 2026. The study presents a cross-cultural literary analysis of Cao Xueqin's 18th-century Sinitic vernacular fiction, The Story of The Stone. It argues that the character Qin Keqing functions as a catalyst for the novel's structural decline through a framework of relational comparison and Zhuangzi's philosophy.
32 raw data files totalling 12.2 GB and 30 watercolumn files totalling 39.7 GB were collected by the Australian Ocean Data Network on RV Investigator voyage IN2021_E02 between November 20 and 28, 2021. The Kongsberg EM710 MKII multibeam echosounder was used to acquire seafloor bathymetry, backscatter, and watercolumn backscatter data east of Tasmania and around Freycinet Marine Park. Processed data includes motion-corrected bathymetry grids in GeoTIFF format and line data in GSF and ASCII formats.
Additional file 2 contains six tables of clinical and molecular data supporting a study on monoclonal B cell lymphocytosis and chronic lymphocytic leukemia. The tables likely contain extended clinical information, recurrent mitochondrial DNA mutations, antibody and primer details. The dataset was authored by Anja C. Rathgeber and published on figshare.
From 01 Nov 2010 to 05 Aug 2020, this dataset contains dissolved oxygen measurements from the Yongala site, part of Australia's National Reference Systems (NRS) mooring network. It is collected under the Integrated Marine Observing System (IMOS) to support marine and climate research. The data's availability on multiple platforms indicates its established use within the scientific community.
251.3 MB of source data supporting research on a pre-osteoarthritis state defined by nanoindentation-based mechanical testing and collagen organization evaluation. The dataset, authored by Jun Zhou and last updated in May 2026, includes files in PDF, TXT, XLSX, and TIF formats documenting cartilage matrix integrity and the effects of Col9 mRNA therapy in halting disease progression in a rat model.
251 sonobuoys deployed during the RV Investigator voyage IN2021_V01 collected approximately 460 hours of underwater acoustic recordings. The data, contributed by the Australian Ocean Data Network, were gathered between 29 January and 24 March 2021 on a voyage from Hobart to Hobart. Recordings include marine mammal vocalizations and support krill abundance studies for the TEMPO survey.
Thai adults (n=514) participated in a cross-sectional psychometric study to develop and validate the Internal Resource Perception Scale (IRPS). The dataset, created by Ratana Saipanish and last updated in April 2026, contains survey responses used to establish the scale's four-factor structure and correlations with well-being and distress measures. The 25-item scale demonstrated excellent internal consistency (McDonald’s omega = .96).
A psychometric dataset from a cross-sectional study of 514 Thai adults, used to develop and validate the 25-item Internal Resource Perception Scale (IRPS). The dataset was created by Ratana Saipanish and last updated on 2026-04-29. It contains survey responses measuring perceptions of internal resources across four factors.
A 2026 cross-sectional psychometric study by Ratana Saipanish developed and validated the 25-item Internal Resource Perception Scale (IRPS) using a sample of 514 Thai adults. The scale measures perceptions of internal resources across four factors: Compassionate and Ethical Nature, Adaptable Mindset, Responsible Spirit, and Logical Perspective. It demonstrates strong validity and reliability, with excellent internal consistency (McDonald’s omega = .96).
A 10.0 KB Excel file contains a stemness gene prognostic model for esophageal carcinoma, developed by Yubing Liu and last updated on May 19, 2026. The model was constructed using bulk and single-cell RNA-seq data, Cox regression, and LASSO analysis. It predicts patient prognosis and drug response, with its 1-, 2-, and 3-year survival predictions reportedly outperforming TNM staging.
A 9.5 KB Excel file published on figshare in May 2026 by Yubing Liu. It contains data supporting a prognostic model for esophageal carcinoma based on stemness genes. The model predicts 1-, 2-, and 3-year survival and identifies RBBP7 as a key prognostic factor influencing the tumor microenvironment.
A prognostic model based on stemness genes for esophageal carcinoma, constructed from integrated multi-omics research. The model includes the gene RBBP7 and predicts patient survival and drug response. The dataset is a 2.3 MB document authored by Yubing Liu and last updated in May 2026.
A prognostic model based on stemness genes for esophageal carcinoma, constructed using bulk and single-cell RNA-seq data. The model includes the gene RBBP7 and predicts patient survival at 1-, 2-, and 3-year intervals. The dataset was authored by Yubing Liu and last updated on 2026-05-19.
A prognostic model for esophageal carcinoma based on stemness gene signatures. The dataset was created by Yubing Liu and last updated on May 19, 2026. It likely contains results from multi-omics analyses, including bulk and single-cell RNA-seq, used to construct and validate the model.
A 20.3 KB Excel file contains a stemness gene prognostic model for esophageal carcinoma, constructed via multi-omics analysis. The model, which includes the key gene RBBP7, predicts patient survival at 1-, 2-, and 3-year intervals and is associated with reshaping the tumor immune microenvironment. The dataset was authored by Yubing Liu and last updated on 2026-05-19.
A 182.3 KB Excel dataset from figshare, last updated in May 2026, authored by Ziyi Huang. It contains event-related potential (ERP) data recorded during an implicit reading task using Chinese components as stimuli. The data supports research on the neural basis of the ND250 ERP component in visual word recognition.
A 319.1 KB PDF dataset by Ziyi Huang, last updated in May 2026, presents event-related potential (ERP) data from a study on visual word recognition. The research used Chinese components as stimuli to dissociate visual-form frequency from phonological and semantic associations, recording ERPs during an implicit reading task. The findings challenge the ND250 component's interpretation as a prediction error signal, supporting a visual–orthographic familiarity account instead.