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DNA/RNA sequences, gene expression, protein structures, metagenomics, single-cell sequencing
23,749 datasets
A non-targeted metabolomics dataset profiles grape seed samples collected at full technological maturity from multiple varieties and geographical regions in China. The data was generated by Yaru Luo using ultra-high-performance liquid chromatography coupled with high-resolution mass spectrometry and processed through peak detection and annotation. The dataset was last updated on April 22, 2026.
Satellite-derived data provides active fire locations and annual fire frequency estimates for South America from 2000 to 2007. The dataset includes 7 GeoTIFF raster files representing fire frequency at 250-meter resolution and 7 shapefiles of fire locations for 2001-2007. It was produced by ORNL_CLOUD using a high-confidence subset of MODIS sensor data from NASA's Terra and Aqua satellites to analyze spatial and temporal fire patterns.
Supplementary data from a study investigating how Anzi Tiaochong Tang (AZTCT) inhibits ferroptosis in trophoblast cells via the METTL14/m6A/YTHDF2/SLC39A14 axis. The research combined in vivo RSA rat models with in vitro experiments on HTR-8/SVneo cells, using techniques like MeRIP and dual-luciferase assays. Findings suggest a novel epigenetic pathway for potential RSA treatment.
Southeastern United States soil samples were used to validate a novel environmental DNA assay for detecting the eastern pine snake (Pituophis melanoleucus). The dataset, authored by Peyton G. Kinavey and last updated in April 2026, includes a 677.9 KB PDF describing the development and validation of species-specific qPCR and end-point PCR primers targeting the ND4 gene region.
A novel eDNA assay provides a noninvasive tool for detecting the secretive eastern pine snake (Pituophis melanoleucus), a species of conservation concern. The dataset includes a quantitative PCR (qPCR) and end-point PCR assay validated for specificity and sensitivity using DNA from tissues, shed skins, and soil samples. The research was authored by Peyton G. Kinavey and last updated on 2026-04-29.
Peyton G. Kinavey developed a novel environmental DNA assay for detecting the eastern pine snake (Pituophis melanoleucus). The dataset, last updated in 2026, describes the development and validation of species-specific primers targeting the ND4 gene region for use in qPCR and end-point PCR. It includes results from specificity and sensitivity tests against heterospecific DNA and application to eDNA from soil samples.
A primer set and assay validation for detecting the eastern pine snake (Pituophis melanoleucus) from environmental DNA (eDNA) in soil samples. The assay was developed and validated for specificity and sensitivity by Peyton G. Kinavey and is available as a PDF document. The dataset was last updated on 2026-04-29.
Southeastern United States soil samples were used to validate a novel environmental DNA assay for detecting the eastern pine snake (Pituophis melanoleucus). The dataset includes a PDF describing the development and validation of species-specific qPCR and end-point PCR primers targeting the ND4 gene region. Authored by Peyton G. Kinavey, the 157.7 KB file was last updated on 2026-04-29.
A novel quantitative PCR assay targeting the NADH dehydrogenase subunit 4 gene region was developed for detecting the eastern pine snake (Pituophis melanoleucus). The assay was validated for specificity and sensitivity using DNA from tissues and shed skins of heterospecific species and applied to environmental DNA from soil samples. Peyton G. Kinavey published this research on figshare in April 2026.
Hongzhao Li compiled evidence on viral RNA persistence following acute infection with Risk Group 4 zoonotic viruses. The dataset, last updated on April 29, 2026, synthesizes findings from recent literature on post-acute sequelae, fatal recrudescence, and outbreak risks. It likely contains tabular data summarizing persistence evidence and its clinical and public health implications.
Virginia Friedrichs published a study on April 29, 2026, investigating the safety of the ASFV-G-ΔI177L live attenuated vaccine in adult breeding boars. The dataset likely contains clinical, virological, and semen quality measurements from eight boars monitored over 28 days post-vaccination. Findings include clinical signs, viral detection in multiple samples, and reduced semen quality.
A multi-omics dataset from a murine colitis study investigates the effects of Taoling Yuyang Decoction. Dongyang Liu authored this dataset, which was last updated on April 29, 2026. It includes measurements of body weight, disease activity index, oxidative stress markers, cytokine levels, tight junction protein expression, and 16S rDNA sequencing results.
305 participants completed self-report measures assessing interoceptive beliefs, attention, and perceived accuracy alongside anxiety-related traits and symptoms. A subsample of 103 participants additionally completed laboratory-based heartbeat perception tasks. The dataset, authored by Lucy Snell and last updated in April 2026, likely contains correlational analyses exploring the multidimensional relationship between interoception and anxiety.
Benoît Béchard's experimental study examines how loss aversion shapes voter decisions in secession referendums. The dataset likely contains results from an online experiment with 401 participants using gain- and loss-framed scenarios. It was last updated on figshare in April 2026.
Glenn N. Saxe applied Causal Data Science methods to an existing observational, longitudinal dataset from the Consortium for Longitudinal Studies in Child Abuse and Neglect (LONGSCAN). The dataset contains a sample of 1,354 children identified in infancy to early childhood as being maltreated or at risk. The resulting causal network model includes 251 variables and 818 bivariate relations, revealing direct causes and effects of Posttraumatic Stress at age 8.
A longitudinal dataset from the Consortium for Longitudinal Studies in Child Abuse and Neglect (LONGSCAN) contains 1,354 children identified in infancy to early childhood as being maltreated or at risk. The data was used in a causal data science analysis to model 251 variables and 818 bivariate relations, identifying direct causes and effects of Posttraumatic Stress at age 8. The dataset was authored by Glenn N. Saxe and last updated on 2026-04-22.
LONGSCAN consortium data features a sample of 1,354 children identified in infancy to early childhood as being maltreated or at risk. Glenn N. Saxe applied Causal Data Science methods to this longitudinal observational dataset to model the etiology of Posttraumatic Stress. The resulting causal network model contains 251 variables and 818 bivariate relations.
A causal network model of 251 variables and 818 bivariate relations reveals direct causes and effects of posttraumatic stress in young children. The analysis applies Causal Data Science methods to an existing longitudinal dataset from the Consortium for Longitudinal Studies in Child Abuse and Neglect (LONGSCAN). Glenn N. Saxe authored this research, last updated in April 2026.
Allison P. Salinger's dataset contains validation data for the Menstrual Practice Needs Scale for the Workplace (MPNS-W) from a study of 892 working women in Kathmandu, Nepal and Nairobi, Kenya. The data was used for exploratory and confirmatory factor analyses to validate the four-factor scale and assess its association with well-being outcomes. The dataset was last updated on 2026-04 22 and is shared under a CC-BY-4.0 license.
A study on the 'Cun Sanpi' tobacco variety investigating how light quality during curing affects leaf aroma and quality. The dataset includes results from chemical analysis, sensory evaluation, and GC-MS non-targeted metabolomics for three light treatments: natural light, natural light plus red, and natural light plus blue. The data was authored by Lijuan Chen and last updated on 2026-04-22.