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DNA/RNA sequences, gene expression, protein structures, metagenomics, single-cell sequencing
24,793 datasets
A dataset by Bae Young Choi from 2026 contains pan-transcriptome analysis data for pine wilt disease progression across six Pinus species and a hybrid. It includes results from a deep learning-based phenotyping program quantifying disease symptoms over 14 weeks. The data supports findings on gene expression differences related to water conservation and pathogen response between resistant and susceptible trees.
Corporation and other business entity name records from the New York Department of State. Each record contains a current or previous name for an entity, including the Department of State ID number, Date Filed, Name Type, and Name Status. The data is provided by data.ny.gov and was last updated on March 31, 2026.
A 173.8 KB PDF file published as supplementary information for a peer-reviewed journal article. It contains materials supporting the main data presented in Chapter 4 of a thesis authored by I Nyoman Sumerta. The file is licensed under CC-BY-4.0 and was last updated on April 19, 2026.
Replication files for Xin Nong's 2026 research paper on leadership turnover, domestic constraints, and international conflict. The dataset likely contains structured data supporting quantitative analysis of historical political dynamics. It was published by Xin Nong Dataverse on May 28, 2026.
Geoscience Australia's probabilistic framework estimates potential wind damage to individual residential houses using the Bureau of Meteorology's tropical cyclone statistical ensemble forecasts. Outputs include probabilities of exceeding damage states and median damage per Statistical Area 1 region. The data is intended to support emergency preparedness and response planning.
Annual statistics compare physician headcounts across specialties for Fee-For-Service (FFS), Alternative Relationship Plan (ARP), and Blended payment models under the Alberta Health Care Insurance Plan. The dataset excludes payments and services for Albertans receiving care out of province or out of country. It is provided by the Government of Alberta.
A 2008 survey of the Carnarvon Shelf, Western Australia, collected by the CERF Marine Biodiversity Hub aboard RV Solander. The report describes methods and datasets including multibeam sonar, sediment samples, and underwater video from three primary study areas. Additional processing of physical and biological data is required for comparative analysis.
2026 GFF3 annotation files for the genome assemblies GCA_055777295.1 and GCA_055777325.1, created by Shiyuan Wang. The dataset contains all annotated features for both chromosome-level assemblies described in the associated manuscript. It is a small dataset of 13.8 MB.
NASA's ISIS-1 satellite topside sounder data provides ionospheric electron density profiles. The dataset consists of digitized average ionograms from the Ottawa station, sampled at 40 kHz with a typical time resolution of 29 seconds. This version 2 data product corrects frame-sync detection issues from earlier versions to enable automated processing.
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.