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DNA/RNA sequences, gene expression, protein structures, metagenomics, single-cell sequencing
23,758 datasets
A 2026 report from Geoscience Australia details a paleontological study of the Lower Cretaceous marine section in southwestern Queensland. The analysis is based on well cuttings from 80 to 3,310 feet and three specific core samples from the Phillips-Sunray Buckabie No.1 well, drilled to 9,070 feet. It uses lithology and the first appearance of foraminiferal species and Inoceramus prisms to define the sequence.
4.5 GB of bulk and single-cell RNA sequencing data from healthy and cirrhotic human and mouse liver samples. The dataset, authored by Fengchun Li and released under CC-BY-4.0, focuses on the role of Galectin-3 (LGALS3) in macrophage function and hepatic stellate cell activation. It was last updated on May 7, 2026.
Lynda Khalaf's research proposes bootstrap-based tests for non-nested hypotheses in multivariate regressions. The 1.0 MB dataset, last updated on 2026-04-21, includes simulation results and an application to asset pricing models using Fama and French factors as a null hypothesis against consumption-based and liquidity-augmented alternatives.
Cook County property characteristics for single and multi-family homes (less than 7 units) collected by the Assessor's Office from 1999 to the present. The data is improvement-level, meaning each row corresponds to an individual building on a parcel, and is used primarily for valuation and reporting. Data is updated monthly, with the current year's data becoming final after the assessment roll is certified.
Stella M. Schmelzle compiled a list of proteins with increased abundance in Leishmania major undergoing cell death. The dataset, last updated on 2026-05-21, includes annotations extracted from the UniProt database. It is a small dataset of 5.5 KB, stored in an XLS file format.
Muhammad Asad's dataset provides a high-quality telomere-to-telomere genome assembly and annotation for the wild soybean Glycine soja accession HAAS216. The assembly spans 1,018.17 Mb, integrates PacBio HiFi, ONT ultra-long reads, and Hi-C data, and contains 48,390 predicted protein-coding genes. It was last updated on April 14, 2026.
Helen's Rock bathymetry data was acquired by Deakin University Marine Mapping lab in 2013. The survey was conducted onboard the Motor Vessel Yolla over one day on November 27, 2013, using a Kongsberg EM2040c instrument. The dataset is provided by the Australian Ocean Data Network.
Panel data from 110 Chinese resource-based cities from 2013 to 2023 supports an empirical analysis of the intelligent economy's impact on carbon efficiency. The dataset, shared under a CC-BY-4.0 license by Xiongtian Shi, includes findings on mediating roles of green finance and spatial effects. It was last updated on 2026-05-01.
Individual solar flare detections from NASA's GOES X-ray sensors, updated daily. Flares are classified by peak flux into categories B, C, M, and X, with M and X-class events being of particular interest for space weather. The dataset covers events from 2017 onward and is credited to NASA/SDO.
Government of Alberta statistics compare average weekly earnings, including overtime, for payroll employees across Canada and its provinces from 2001 to 2014. Estimates are derived from a sample and focus on statistically significant differences at the 68% confidence level. Payroll employment figures are based on a census of administrative data, which is not subject to sampling variability.
A genomic dataset from a study evaluating photosynthetic performance across 181 diverse rice accessions. The data integrates photosynthetic measurements with genome-wide association studies using 3.7 million SNP markers to identify candidate genes and quantitative trait nucleotides. The dataset was authored by Awais Riaz and last updated in April 2026.
A genomic dataset integrates photosynthetic measurements from 181 diverse rice accessions with 3.7 million SNP markers. It identifies 18 putative quantitative trait nucleotides and 43 candidate genes associated with photosynthesis at the reproductive stage. The data was authored by Awais Riaz and last updated in April 2026.
A 2026 study by Awais Riaz integrates photosynthetic measurements from 181 diverse rice accessions with genome-wide association studies using 3.7 million SNP markers. The dataset identifies 18 putative quantitative trait nucleotides and 43 candidate genes associated with photosynthesis, including those for stomatal regulation and leaf development. It provides resources for genomics-assisted breeding to enhance rice yield.
A 2026 study by Awais Riaz integrates photosynthetic measurements from 181 diverse rice accessions with genome-wide association studies using 3.7 million SNP markers. The dataset identifies 18 putative quantitative trait nucleotides and 43 candidate genes associated with photosynthesis, providing resources for genomic-assisted breeding. The analysis includes genomic prediction models and detailed photosynthetic response curves for five selected accessions.
181 diverse rice accessions were evaluated for photosynthetic performance at the booting stage, with data integrated from genome-wide association studies using 3.7 million SNP markers. The dataset, authored by Awais Riaz and last updated in April 2026, identifies 18 putative quantitative trait nucleotides and 43 candidate genes associated with photosynthesis. It includes genomic prediction analyses from multiple models and detailed phenotypic response data for five selected accessions.
A genomic dataset integrates photosynthetic measurements from 181 diverse rice accessions with 3.7 million SNP markers. It identifies 18 putative quantitative trait nucleotides (QTNs) and 43 candidate genes associated with photosynthesis, including genes for stomatal regulation and sugar transport. The data was published by author Awais Riaz on figshare in 2026 under a CC-BY-4.0 license.
Genomic association data for flag leaf photosynthesis in rice, derived from 181 diverse accessions evaluated under controlled conditions. The dataset, created by Awais Riaz and last updated in April 2026, integrates genome-wide association studies using 3.7 million SNP markers to identify candidate genes and quantitative trait nucleotides. It includes results from multiple statistical models and subsequent gene mining and fine-mapping analyses.
Awais Riaz published this dataset on 2026-04-23. It contains results from a genome-wide association study (GWAS) on photosynthetic performance in rice, integrating phenotypic measurements from 181 diverse accessions with 3.7 million SNP markers. The data includes identified quantitative trait nucleotides (QTNs), candidate genes, and genomic prediction analyses aimed at enhancing rice yield through breeding.
181 diverse rice accessions were evaluated for photosynthetic performance at the booting stage, integrated with 3.7 million SNP markers. The study identified 18 putative quantitative trait nucleotides and 43 candidate genes associated with photosynthesis. This dataset, authored by Awais Riaz and last updated in April 2026, provides genomic resources for breeding high-yield rice.
A 2026 study by Awais Riaz integrates genomic and phenotypic data from 181 diverse rice accessions. The dataset likely contains results from genome-wide association studies (GWAS) using 3.7 million SNP markers to identify genomic regions and candidate genes associated with photosynthetic performance at the booting stage. It includes identified quantitative trait nucleotides (QTNs), candidate genes, and genomic prediction analyses.