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DNA/RNA sequences, gene expression, protein structures, metagenomics, single-cell sequencing
27,749 datasets
A genetic linkage map contains 4,035 bin markers across 13 linkage groups for ridge gourd (Luffa acutangula). The dataset results from whole-genome resequencing of two parental lines and 144 F₂ individuals, identifying eight significant QTLs clustered on LG3. It was authored by Qin Chen and last updated on 2026-05-28.
A genetic study of ridge gourd (Luffa acutangula) developed an F₂ population of 147 plants from a cross between lines contrasting in early maturity. Qin Chen published this dataset on figshare in 2026, containing a high-density genetic linkage map with 4,035 bin markers across 13 linkage groups and identifying eight significant QTLs.
Qin Chen published a dataset containing a high-density genetic linkage map for ridge gourd (Luffa acutangula) on figshare in 2026. The map contains 4,035 representative bin markers across 13 linkage groups, derived from whole-genome resequencing of an F₂ population of 147 plants. It identifies eight significant QTLs, including a major multi-trait hotspot on linkage group 3 anchored to a 7.03 Mb interval.
A high-density genetic linkage map for ridge gourd (Luffa acutangula) contains 4,035 bin markers across 13 linkage groups. It was constructed from whole-genome resequencing of 144 F₂ individuals and identifies eight significant QTLs, including a major multi-trait hotspot on LG3. The dataset was authored by Qin Chen and last updated on May 28, 2026.
A high-density genetic linkage map containing 4,035 representative bin markers across 13 linkage groups was constructed from an F₂ population of 147 ridge gourd plants. The dataset, authored by Qin Chen and last updated in May 2026, identifies eight significant QTLs, with a major multi-trait hotspot anchored to a 7.03 Mb interval on chromosome 3 containing 136 annotated genes.
A high-density genetic linkage map containing 4,035 representative bin markers across 13 linkage groups was constructed from an F2 population of 147 ridge gourd plants. The dataset, authored by Qin Chen and last updated in May 2026, identifies eight significant QTLs for early-maturity traits, with a major hotspot anchored to a 7.03 Mb interval on chromosome 3.
A high-density genetic linkage map containing 4,035 representative bin markers across 13 linkage groups was constructed from an F₂ population of 147 ridge gourd plants. Eight significant QTLs were identified, most clustering on LG3, anchored to a 7.03 Mb interval containing 136 annotated genes. The dataset, authored by Qin Chen and last updated in 2026, provides a genetic framework for dissecting early maturity in ridge gourd.
A high-density genetic linkage map containing 4,035 representative bin markers across 13 linkage groups was constructed from an F2 population of 147 ridge gourd plants. The dataset, authored by Qin Chen and published on figshare in 2026, identifies eight significant QTLs, most clustering into a major hotspot on linkage group 3. This hotspot is anchored to a 7.03 Mb interval containing 136 annotated genes, with two prioritized as candidate genes.
Five detailed patient cases illustrate the integration of pharmacogenetics and therapeutic drug monitoring for cenobamate in drug-resistant epilepsy. The data originates from an exploratory case series by Giuseppe d’Orsi, selected from a cohort of 125 individuals, and was last updated in June 2026. It describes clinical outcomes, metabolizer phenotypes, and personalized dosing strategies.
An exploratory case series from 2026 describes five patients selected from a cohort of 125 individuals treated with cenobamate for drug-resistant focal epilepsy. It integrates clinical data, therapeutic drug monitoring, and targeted next-generation sequencing of metabolic genes to examine pharmacogenetic profiles and clinical outcomes. The dataset was authored by Giuseppe d’Orsi and is shared under a CC-BY-4.0 license.
The Australian Multibeam Guidelines, established by the AusSeabed consortium, provide recommended procedures for survey planning, data acquisition, and submission for seafloor mapping activities. Version 2 of the guidelines incorporates content from previous field manuals and aims to improve data interoperability and standards to support international initiatives like Seabed2030. The guidelines are maintained by the Australian Ocean Data Network and were last updated on June 27, 2026.
Hanshui Jiang's dataset contains clinical data from patients who developed pulmonary infections after liver or kidney transplantation between January 2020 and December 2023. It includes demographic characteristics, transplant parameters, laboratory results, and metagenomic next-generation sequencing (mNGS) pathogen detection outcomes. The data was used to develop and test a machine learning model for prognostic prediction.
2014 estimates for borrowings and servicing costs from Austrian government accounts. The dataset is structured according to the Ordinance on Estimates and Clearance of Accounts (VRV) and published via European open data platforms. It originates from Cooperation OGD Österreich and Wikimedia Österreich.
The 2015 clearance of accounts dataset for Linz, Austria, focuses on municipal debt and debt service. It was created under the Ordinance on Estimates and Clearance of Accounts (VRV), which governs the presentation of budgetary evidence. The data is provided by Cooperation OGD Österreich and Wikimedia Österreich under a CC-BY-4.0 license.
Jun Zhou published a dataset on 2026-05-28 containing results from a multi-omics study of sepsis. The data likely contains statistical results from single-cell RNA sequencing and Mendelian randomization analyses. It identifies four causal gene drivers in activated CD4+ T cells.
Four causal sepsis genes identified through single-cell RNA sequencing and Mendelian randomization analysis. The dataset includes odds ratios and confidence intervals for RPLP0, CD52, RPS15A, and RPS18, derived from a GWAS of 11,643 sepsis cases and 474,841 controls. Author Jun Zhou published this work on figshare under a CC-BY-4.0 license in May 2026.
Four causal sepsis genes identified through a multi-omics approach integrating single-cell RNA sequencing and Mendelian randomization. The dataset, authored by Jun Zhou and last updated in May 2026, includes results from analyses of 11,643 sepsis cases and 474,841 controls. It contains a four-gene signature (RPLP0, CD52, RPS15A, RPS18) validated by qPCR in a clinical cohort of 5 sepsis patients and 5 healthy controls.
The dataset covers borrowings and borrowings for investments, as defined by the Ordinance on Estimates and Clearance of Accounts (VRV). It originates from a cooperation between OGD Österreich and Wikimedia Österreich and is available under a CC-BY-4.0 license. The specific temporal coverage is the year 2018, and the geographic focus is the city of Linz.
Municipal financial data from Linz, Austria, detailing borrowings and investment loans for the 2016 fiscal year. The dataset is structured according to the Ordinance on Estimates and Clearance of Accounts (VRV), which governs evidence and presentation standards. It is published under a CC-BY-4.0 license by a cooperation of Austrian open government data organizations.
An area in the Carnarvon sedimentary basin of Australia, covered by the Williambury and Moogooree one mile map sheets, is described. The dataset details the stratigraphy and structure, including Devonian, Carboniferous, Permian, Cretaceous, and Tertiary rock sequences with specific thicknesses. The description was provided by the Australian Ocean Data Network and was last updated in 2026.