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DNA/RNA sequences, gene expression, protein structures, metagenomics, single-cell sequencing
27,655 datasets
ISIS-1 satellite topside ionogram data digitized from analog telemetry at NASA GSFC. The dataset includes fixed and swept frequency portions for the Quito station, with a time resolution of 29 seconds and a sample rate of 40,000 16-bit samples per second. This version 2 product corrects frame-sync detection issues from earlier versions to enable automated processing for electron density profiles.
A-share Chinese listed companies from 2011 to 2021 are the research samples for this dataset. It supports an analysis of the effects of inward and outward foreign direct investment (FDI) on corporate total factor productivity (TFP). The data was published by Yu Duan on figshare under a CC-BY-4.0 license and was last updated in March 2026.
From 2011 to 2021, this dataset contains research samples of A-share Chinese listed companies, examining the relationship between two-way foreign direct investment (FDI) and corporate total factor productivity. It was created by Yu Duan and shared on figshare under a CC-BY-4.0 license. The data includes analyses of moderating factors like environmental information disclosure and technological innovation.
2011-2021 data on Chinese A-share listed companies, used to study the effects of inward and outward foreign direct investment on corporate total factor productivity. The dataset includes moderating factors like environmental information disclosure quality and technological innovation. It was created by Yu Duan and published on figshare under a CC-BY-4.0 license.
Yu Duan's 2026 research dataset examines the differential impact of inward and outward foreign direct investment on corporate total factor productivity. The data covers A-share Chinese listed companies from 2011 to 2021 and includes moderating factors like environmental information disclosure quality and technological innovation. It is a 9.5 KB XLS file shared under a CC-BY-4.0 license on figshare.
Yu Duan's dataset on figshare contains research data on A-share Chinese listed companies from 2011 to 2021. It examines the effects of inward and outward foreign direct investment on corporate total factor productivity, including moderating roles of environmental disclosure and innovation. The dataset is 9.5 KB in size and was last updated in March 2026.
A-share Chinese listed companies from 2011 to 2021 serve as research samples for analyzing the effects of inward and outward foreign direct investment on corporate total factor productivity. The dataset includes variables for robustness tests and moderating factors like environmental information disclosure quality and technological innovation. It was authored by Yu Duan and last updated on 2026-03-25.
From 2011 to 2021, this dataset includes A-share Chinese listed companies as research samples for analyzing the effects of two-way foreign direct investment (FDI) on corporate total factor productivity (TFP). It was created by Yu Duan and uploaded to figshare in March 2026. The data supports robustness tests and moderating analyses involving environmental disclosure and technological innovation.
Yu Duan's dataset supports a paper analyzing the effects of inward and outward foreign direct investment (FDI) on corporate total factor productivity (TFP) for A-share Chinese listed companies from 2011 to 2021. The data likely contains variables for corporate IFDI, OFDI, TFP, environmental information disclosure quality, and technological innovation. The dataset was last updated on 2026-03-25 and is shared under a CC-BY-4.0 license.
A-share Chinese listed companies from 2011 to 2021 serve as research samples for analyzing the effects of inward and outward foreign direct investment on corporate total factor productivity. The dataset includes results from empirical analysis, robustness tests, and moderating analyses on environmental disclosure and technological innovation. It was authored by Yu Duan and last updated on 2026-03-25.
A-share Chinese listed companies from 2011 to 2021 serve as research samples for analyzing the effects of inward and outward foreign direct investment on corporate total factor productivity. The dataset includes moderating variables such as environmental information disclosure quality and technological innovation, and examines differential effects across regions, pollution levels, and ownership types. The data was authored by Yu Duan and last updated on 2026-03-25.
Descriptive statistics and VIF analysis for a study on two-way foreign direct investment (FDI) and corporate total factor productivity (TFP). The dataset covers A-share Chinese listed companies from 2011 to 2021 and was published by Yu Duan on figshare in March 2026. It likely contains variables for inward and outward FDI, TFP, environmental information disclosure quality, and technological innovation.
Yu Duan's dataset on figshare contains research data for a paper analyzing the effects of inward and outward foreign direct investment (FDI) on corporate total factor productivity. The data covers A-share Chinese listed companies from 2011 to 2021 and includes variables for robustness tests and moderating analyses. It was last updated on March 25, 2026.
2011-2021 data on A-share Chinese listed companies, used to analyze the effects of inward and outward foreign direct investment on corporate total factor productivity. The dataset includes moderating variables like environmental information disclosure quality and technological innovation. It was created by Yu Duan and published on figshare under a CC-BY-4.0 license.
A-share Chinese listed companies from 2011 to 2021 serve as research samples for analyzing the effects of inward and outward foreign direct investment on corporate total factor productivity. Yu Duan published the dataset on figshare, with a last update timestamp of 2026-03-25. The data includes variables for moderating factors like environmental information disclosure quality and technological innovation.
Figshare hosts a dataset summarizing axon guidance phenotypes for five mutant alleles of the Drosophila melanogaster sequoia gene. The data, provided in an XLS file, documents defects in central nervous system organization, motor axon outgrowth, and neuronal morphology linked to specific molecular lesions.
102,299 single nucleotide polymorphisms (SNPs) across 238 spinach lines for genome-wide association study (GWAS) of downy mildew resistance. The dataset was authored by Ainong Shi and is available under a CC-BY-4.0 license. It was last updated on April 19, 2026, and is stored in an 81.1 MB XLSX file.
A genome-wide association study (GWAS) dataset for downy mildew resistance in spinach. It contains 10,074 single nucleotide polymorphisms (SNPs) genotyped across 243 spinach lines. The dataset was authored by Ainong Shi and last updated on April 19, 2026.
Figshare data by Yaqin He details the immunomodulatory effects of Bifidobacterium adolescentis and Bifidobacterium longum subsp. infantis strains. The dataset contains results from transcriptomic and multi-omics analyses across mouse colitis, germ-free, and human cell co-culture models. It supports investigation into strain-specific cytokine signaling pathways and γδ T cell modulation.
Kaggle hosts the Architect Watcher Ledger, a dataset concerning AI governance. The description suggests it contains metadata framework echoes and provenance cases. Details on its size, author, and last update are unavailable.