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DNA/RNA sequences, gene expression, protein structures, metagenomics, single-cell sequencing
23,317 datasets
A complete mitochondrial genome sequence for the invasive pest Leptoglossus occidentalis, assembled from sequencing data. The genome is 15752 base pairs long with an A+T content of 72.9% and contains 13 protein-coding genes, 22 tRNA genes, 2 rRNA genes, and a control region. The dataset also includes new distribution records for the species from Tianjin, Shaanxi, and Guangdong Provinces in China.
The Australian Ocean Data Network provides a thematic journal issue focusing on the geology of the outer North West Shelf of Australia. The dataset consists of HTML and PDF files containing an introduction to this special issue. Its last recorded update was on 2026-06-16.
Eastern China is the source of a reassortant H5N6 avian influenza virus, A/mink/Eastern_China/WH09/2023, isolated from farmed mink in 2023. The dataset likely contains genomic sequence data and results from phylogenetic analyses and in vivo experiments in mice and guinea pigs. Author Kaituo Liu published the data under a CC-BY-4.0 license on figshare in 2026.
Over 3,000 specimens of the brachiopod super-family Productacea from Permian marine sediments in Western Australia. The collection includes at least 34 species across seven genera, sourced from three major sedimentary basins covering approximately 150,000 square miles. The dataset was published by Geoscience Australia Data and last updated in May 2026.
Over the last 17000 years, medium to fine sand accumulated on the lake margins and mud in the center. The dataset contains geochemical analysis of sediments and hypersaline brines from Lake Frome, a playa lake in South Australia, studied by Geoscience Australia. It includes major and minor element concentrations from stratigraphic units and water samples.
One mooring with five current meters collected oceanographic data near Heard Island in the Southern Ocean from May 1990 to January 1991. Parameters likely include east-west and north-south velocity components, water temperature, pressure, and salinity at nominal depths. The Australian Ocean Data Network's CMR Data Centre in Hobart processed and archived this data.
A 131.7 KB PDF authored by Huiping Xiao, last updated on 2026-04-30, details the synthesis and performance of a cross-linkable alternating copolymer. The polymer, CLPFSO, achieved a peak luminance efficiency of 3.6 cd/A in a PLED and a maximum power conversion efficiency of 9.51% when used as an additive in a polymer solar cell. The study reports device stability, with the PLED maintaining 78% and the solar cell 81% of their initial efficiency over 30 days.
Ishani Dogra's dataset contains quantitative trait locus (QTL) mapping results for vernalization-insensitive and photoperiod-independent early flowering in yellow lupin (Lupinus luteus L.). The data was generated from a recombinant inbred line population phenotyped in greenhouse conditions across three spring seasons (2022-2024) and one winter season (2023/4), with genotyping performed via DArT-seq. The dataset was last updated on 2026-04-23.
Ishani Dogra's dataset contains quantitative trait locus (QTL) mapping results for vernalization-insensitive and photoperiod-independent early flowering in yellow lupin (Lupinus luteus L.). The data is derived from a recombinant inbred line population phenotyped in greenhouse trials across three spring seasons (2022-2024) and one winter season (2023/4), with genotyping performed using DArT-seq. The dataset was last updated on 2026-04-23 and is shared under a CC-BY-4.0 license.
A recombinant inbred line population of yellow lupin (Lupinus luteus L.) was phenotyped for flowering time under long-day and short-day photoperiods across three spring seasons (2022-2024) and one winter season (2023/4). The dataset includes genotyping data from DArT-seq and a linkage map of 1,448 loci used to identify quantitative trait loci (QTLs) for vernalization-insensitive early flowering. It was authored by Ishani Dogra and shared on figshare under a CC-BY-4.0 license.
Ishani Dogra published a dataset containing quantitative trait locus (QTL) mapping results for vernalization-insensitive and photoperiod-independent early flowering in yellow lupin (Lupinus luteus L.). The data was generated from a recombinant inbred line population phenotyped in greenhouse trials across three spring seasons (2022-2024) and one winter season (2023/4). It includes a linkage map with 1,448 loci and identifies a major QTL on chromosome YL-16 explaining up to 34% of phenotypic variance.
A recombinant inbred line population of yellow lupin (Lupinus luteus L.) was phenotyped for flowering time across three spring seasons (2022-2024) under long-day and short-day photoperiods. The dataset, authored by Ishani Dogra and shared on figshare, contains results from quantitative trait locus (QTL) mapping, identifying a major QTL explaining up to 34% of phenotypic variance. Genotyping was performed using DArT-seq, and a linkage map with 1,448 loci was constructed.
A 2022-2024 greenhouse study of a recombinant inbred line (RIL) population of yellow lupin (Lupinus luteus L.) phenotyped under long-day and short-day photoperiods. The dataset, published by Ishani Dogra on figshare, contains results from quantitative trait locus (QTL) mapping for vernalization-insensitive and photoperiod-independent early flowering. A linkage map with 1,448 loci was used to identify a major QTL on chromosome YL-16 explaining up to 34% of phenotypic variance.
A recombinant inbred line (RIL) population of 1,448 genotyping loci was phenotyped for flowering time across three spring seasons (2022-2024) and a winter season (2023/4). The dataset, authored by Ishani Dogra and shared on figshare, contains quantitative trait locus (QTL) mapping results for vernalization and photoperiod response in yellow lupin (Lupinus luteus L.). It identifies a major QTL on chromosome YL-16 explaining up to 34% of phenotypic variance and co-localizing with the LlutFTc1 gene.
A recombinant inbred line population from a cross between yellow lupin cultivars PRH444/14 and Parys was phenotyped for flowering time across three spring seasons (2022-2024) and one winter season (2023/4). The dataset includes genotyping data from DArT-seq and results from composite interval mapping that identified a major quantitative trait locus on chromosome YL-16 explaining up to 34% of phenotypic variance. The data was authored by Ishani Dogra and shared under a CC-BY-4.0 license.
A recombinant inbred line (RIL) population of 1,448 loci was developed from a cross between yellow lupin lines PRH444/14 and Parys. The population was phenotyped for flowering time across three spring seasons (2022-2024) under long-day and short-day photoperiods, with differences between early and late lines reaching ~68 days. The dataset, authored by Ishani Dogra, contains quantitative trait locus (QTL) mapping results identifying a major QTL explaining up to 34% of phenotypic variance.
A recombinant inbred line population of 1,448 genotyped loci was phenotyped for flowering time across three spring seasons (2022-2024) and one winter season (2023/4). The dataset, authored by Ishani Dogra, contains quantitative trait locus mapping results for vernalization and photoperiod response in yellow lupin (Lupinus luteus L.). It identifies a major QTL on chromosome YL-16 explaining up to 34% of phenotypic variance and co-localizing with the LlutFTc1 gene.
A recombinant inbred line population of 1,448 genotyping loci was phenotyped for flowering time across three spring seasons (2022-2024) and one winter season. The data, published by Ishani Dogra on figshare, identifies a major quantitative trait locus on chromosome YL-16 explaining up to 34% of phenotypic variance. Several minor QTLs were also detected, co-localizing with candidate flowering regulator genes.
A dataset from a 2024 study integrating culture, qPCR, and whole-genome sequencing to monitor blaKPC, blaNDM, and blaVIM carbapenemase genes in school wastewater in Santiago, Chile. The data includes seasonal composite samples, bacterial isolate counts, resistance rates, and absolute gene copy numbers. It was authored by Andrés Cortez-Astorga and shared under a CC-BY-4.0 license.
A dataset from a study evaluating the aquatic macrophyte Lemna minor's ability to accumulate organic and inorganic contaminants individually and in mixtures. The research, authored by Kaniz F. Chowdhury and last updated in April 2026, measured accumulation percentages for contaminants including diazinon, ciprofloxacin, atrazine, trimethoprim, chromium, and cadmium. Results indicate contaminant co-exposure significantly influenced uptake, with implications for environmental risk assessments.