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DNA/RNA sequences, gene expression, protein structures, metagenomics, single-cell sequencing
22,530 datasets
A 3.6 KB CSV file containing data from a multi-level transcriptomic analysis of pediatric asthma. The dataset, authored by Yuchen Wen and last updated in June 2026, likely contains results identifying HLA-DPA1 and HLA-DPB1 as candidate key genes downregulated in pediatric asthma, correlating with macrophage immune-metabolic dysregulation.
A transcriptomic dataset from a 2026 study analyzing airway epithelium and immune cells from pediatric asthma patients. The data was generated by Yuchen Wen and includes results from bulk RNA-seq, single-cell RNA-seq, and machine learning analyses. It focuses on the downregulation of HLA-DPA1 and HLA-DPB1 genes and their link to macrophage immune-metabolic dysregulation.
HLA-DPA1 and HLA-DPB1 genes were identified as key downregulated immune checkpoint genes in pediatric asthma. This CSV file contains results from an integrative multi-omics analysis of bulk and single-cell RNA-seq data from patient samples and cell lines. Yuchen Wen published the data on figshare in June 2026 under a CC-BY-4.0 license.
A 191.6 KB CSV file contains integrative multi-omics analysis results identifying HLA-DPA1 and HLA-DPB1 as candidate key genes in pediatric asthma. The data was generated by Yuchen Wen and published on figshare under a CC-BY-4.0 license, with a last update timestamp of 2026-06-03. The analysis integrates bulk RNA-seq, single-cell RNA-seq, and machine learning algorithms to explore macrophage immune-metabolic dysregulation.
Data Sheet 6 from a figshare study by Yuchen Wen, last updated in June 2026, contains results from an integrative multi-omics analysis of pediatric asthma. The dataset likely contains findings from bulk RNA-seq, single-cell RNA-seq, and experimental validation focusing on HLA-DPA1 and HLA-DPB1 genes. It was generated using four machine learning algorithms and validated across independent datasets.
A 1.6 MB CSV file containing results from a multi-level transcriptomic analysis of pediatric asthma. The dataset, authored by Yuchen Wen and last updated in June 2026, integrates bulk RNA-seq, single-cell RNA-seq, and experimental validation to identify candidate key genes. It was published on figshare under a CC-BY-4.0 license.
Daily updated provisional data on new internal displacements in South Africa caused by conflict and disaster events, provided by the Internal Displacement Monitoring Centre (IDMC). The dataset focuses on displacement flows and is updated daily, with data reported since the beginning of 2025. Finalized estimates are available in the annual Global Internal Displacement Database (GIDD).
India-focused data on daily new internal displacements caused by conflicts and disasters. The dataset provides provisional event data updated daily by the Internal Displacement Monitoring Centre (IDMC), representing the most recent information on displacement flows. Finalized and validated estimates are later published in the annual Global Internal Displacement Database (GIDD).
Daily updated provisional data on new internal displacements in Brazil, sourced from the Internal Displacement Monitoring Centre (IDMC). The dataset focuses on 'flows' of people displaced by conflicts and disasters, with updates beginning in 2025. Finalized and validated estimates are published separately in the annual Global Internal Displacement Database (GIDD).
China-focused data on new internal displacements caused by conflicts and disasters, representing daily flows. The dataset is produced by the Internal Displacement Monitoring Centre (IDMC) and provides provisional information updated daily since the beginning of 2025. Finalized and validated estimates are published separately in the annual Global Internal Displacement Database (GIDD).
A 2026 cross-sectional online survey of 200 adults with obesity (BMI > 23 kg/m²) in Indonesia, consisting of 71% women and 29% men aged 18–40 years. The dataset contains self-reported measures on self-love, self-compassion, body image, and self-acceptance, analyzed by Rida Yanna Primanita using path analysis with bootstrapping. It is a small dataset (5.5 KB) stored in an XLS file.
200 adults with obesity in Indonesia participated in a cross-sectional online survey examining psychological constructs. The dataset includes self-reported measures of self-love, self-compassion, body image, and self-acceptance, analyzed via path analysis with bootstrapping. Authored by Rida Yanna Primanita and last updated in May 2026.
Indonesia-based survey of 200 adults with obesity (BMI > 23 kg/m²), conducted via an online questionnaire. The dataset was created by Rida Yanna Primanita and last updated on 2026-05-19. It likely contains self-reported measures on psychological constructs such as self-love, self-compassion, body image, and self-acceptance.
Rida Yanna Primanita's dataset contains survey responses from 200 adults with obesity in Indonesia, collected via an online cross-sectional study. The data includes self-report measures on self-love, self-compassion, body image, and self-acceptance, analyzed using path analysis with bootstrapping. The dataset was last updated on 2026-05-19.
ProteoIntegrator is a scalable platform for harmonizing and analyzing multi-source proteomics data, benchmarked on DDA/DIA and multi-instrument datasets. The tool automates quality control, differential expression analysis, and pathway enrichment, and was used to reanalyze published kidney cancer datasets. Yan Ren uploaded this dataset to figshare on 2026-05-23.
Data Sheet 1_Causal interplay between lactose intolerance and gut microbiota: a combined bidirectional Mendelian randomization and in vivo validation study.zip contains data from a study integrating genetic inference with experimental validation. The dataset includes summary statistics from the MiBioGen Consortium and the FinnGen study, validated by 16S rRNA sequencing from a rat model. Author Mengxiong Lu last updated the dataset on 2026-06-01.
59,732 high-quality single cells from skin tissues of six half-sibling fine-wool sheep were sequenced and annotated into 14 distinct cell types. Tong Xiao published this transcriptional atlas of the hair follicle microenvironment on figshare in 2026. The data compares ultra-fine, medium-fine, and fine wool groups to uncover genetic underpinnings of fiber diameter.
59,732 high-quality cells from skin tissues of six half-sibling fine-wool sheep were captured via single-cell RNA sequencing and annotated into 14 distinct cell types. The dataset, authored by Tong Xiao and last updated in June 2026, compares transcriptional profiles across sheep groups with different wool fiber diameters. It was created to investigate the genetic underpinnings of fiber diameter and the role of dermal papilla cells.
Tong Xiao published a single-cell RNA sequencing atlas of skin tissues from six half-sibling fine-wool sheep on figshare in 2026. The dataset contains 59,732 high-quality cells systematically annotated into 14 distinct cell types, including dermal papilla cells and hair follicle stem cells. It was created to study the genetic underpinnings of wool fiber diameter.
A single-cell RNA sequencing atlas of skin tissues from six half-sibling fine-wool sheep reared under identical conditions but exhibiting different fiber diameters. The dataset contains 59,732 high-quality cells systematically annotated into 14 distinct cell types, including dermal papilla cells, hair follicle stem cells, and outer root sheath cells. It was created by Tong Xiao and last updated on June 1, 2026.