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DNA/RNA sequences, gene expression, protein structures, metagenomics, single-cell sequencing
24,816 datasets
Figshare data from Lohany Dias Mamede supports a 2026 study on TDP-43 protein pathology. The dataset underpins Figure 5B, illustrating the impact of aggregate seeding on TDP-43 autoregulation. It is a small, 10.5 KB XLSX file with unspecified row and column counts.
Data from a 2026 study characterizes a cell-based reporter for TDP-43 aggregation and loss of function in neurodegenerative disease models. The dataset supports figures 4B-4D and 4F-G from the associated publication, with measurements related to cryptic exon splicing, DNA damage, and nuclear TDP-43 localization. It is provided in a 16.9 KB XLSX file under a CC BY 4.0 license by author Lohany Dias Mamede.
Data from a 2026 study characterizing a cell-based reporter for TDP-43 aggregation and loss-of-function in neurodegenerative disease models. The dataset, provided in XLSX format, is 12.7 KB and was authored by Lohany Dias Mamede. It supports analysis of seeding-induced cryptic exon splicing, DNA damage, and nuclear TDP-43 depletion.
Experimental data used to generate Figure 2C in a study of TDP-43 protein pathology. The dataset, provided by author Lohany Dias Mamede, supports analysis of a cell-based reporter system measuring TDP-43 aggregation and loss of function. It is a small dataset stored in an XLSX file with a size of 9.1 KB.
Experimental data from a human cell biosensor model used to study TDP-43 protein aggregation and its functional consequences in neurodegenerative disease. The dataset supports figures 1E through 1G in the associated research, illustrating connections between aggregation seeding, nuclear TDP-43 depletion, and cryptic exon splicing. It was authored by Lohany Dias Mamede and shared under a CC BY 4.0 license in March 2026.
2026 data from a study investigating melatonin's role in plant stomatal immunity against Pseudomonas syringae. The dataset contains metabolomic and multi-omics analyses results, including measurements of jasmonic acid, salicylic acid, reactive oxygen species, and nitric oxide. It was authored by Yangyang Li and shared under a CC BY 4.0 license.
597.2 KB Excel file contains tabular data from a study on melatonin's role in plant immunity. The dataset supports findings on melatonin-mediated crosstalk among phytohormones like jasmonic acid and salicylic acid during bacterial infection. It was authored by Yangyang Li and published under a CC BY 4.0 license.
Tabular data from a study investigating melatonin's role in stomatal immunity of Arabidopsis thaliana against Pseudomonas syringae. The dataset integrates single-cell metabolomics and multi-omics analyses to dissect signaling pathways. It was authored by Yangyang Li and published under a CC BY 4.0 license.
Figshare hosts a 621.8 KB PDF detailing a multi-omics study on melatonin's role in stomatal immunity in Arabidopsis thaliana. The research by Yangyang Li integrates single-cell metabolomics and multi-omics analyses to dissect phytohormone crosstalk involving jasmonic acid, salicylic acid, and reactive oxygen species. It investigates melatonin biosynthesis and receptor mutants to understand guard cell responses to Pseudomonas syringae infection.
Alberta's Livingstone-Porcupine Hills region contains a geospatial dataset of linear disturbances categorized into five types. The Government of Alberta created this dataset in 2017 to support an ecological review of linear disturbances. It is a legacy dataset that will not be updated.
A vector map of Great Britain using interlocking 1 km hexagon cells, each attributed with statistics on the thickness of Quaternary-age superficial deposits. The data are derived by spatially summarizing the British Geological Survey's 50 m cell size Basic Superficial Thickness Model, first published in 2010. It provides average and maximum thickness values per cell, along with coverage information for the underpinning data.
Five rock samples (WS01, WS02, WQC1C, WQC2C, WQC3C) from the Whin Sill in northern England. The dataset includes electron backscatter diffraction (EBSD), anisotropy of magnetic susceptibility (AMS), and anhysteretic anisotropy of remanent magnetisation (AARM) files, along with magnetic carrier characterisation. This work was completed at the University of Liverpool and is described in a paper accepted into the Journal of the Geological Society in May 2025.
Replication Data for: Green-lighting Accountability: Transitional Justice and Compliance with Rulings from the Inter-American Court of Human Rights. The dataset was authored by Kelly Morrison and is hosted on the Harvard Dataverse platform. It was last updated on June 1, 2026.
A genome-wide association study identified 90 significant SNP loci and 5 candidate genes associated with malic acid content in tomato fruit. The analysis used a population of 200 advanced-generation tomato inbred lines and developed primers for six SNP loci for genotyping. The data provides molecular markers for marker-assisted selection in tomato breeding programs.
A 200-line tomato inbred line population was used in a genome-wide association study to identify genetic loci for fruit malic acid content. The study identified 90 significant SNP loci on chromosome 6 and annotated 17 candidate genes, with five prioritized for their association. The dataset includes SNP variants and genotyping results for marker-assisted selection.
National Renewable Energy Laboratory (NREL) gathers and verifies locations for alternative fuel and electric vehicle charging stations. The dataset includes stations across Colorado, with data verified annually and last updated in April 2026. It contains details on station attributes, fuel types, and accessibility.
Alberta's Livingstone-Porcupine Hills area contains boundaries for two distinct planning zones and ten watershed analysis units. The Government of Alberta produced this geospatial data collection, with associated planning documents dated 2018. It defines Zone 2 (Enhanced) and Zone 3 (Extensive) management areas.
Klodiana Rizzo Nervo published a dataset on figshare in March 2026. It contains proteomic data from a controlled human challenge study with influenza A/California/2009 (H1N1). The data was used to train random forest models for estimating days post-infection and distinguishing virus shedders.
Single-cell proteomic data from a controlled human influenza challenge study. The dataset was created by Klodiana Rizzo Nervo and published on figshare in March 2026. It contains immune cell profiles used to train random forest models for predicting infection timing and shedding status.
Klodiana Rizzo Nervo published a dataset from a controlled human influenza challenge study. The data likely contains mass cytometry profiles from immune cells to train random forest models for estimating days post-infection. It was last updated on March 19, 2026.