Loading...
Loading...
DNA/RNA sequences, gene expression, protein structures, metagenomics, single-cell sequencing
23,007 datasets
A 2.0 MB Excel dataset by FangMei Wang, last updated May 14, 2026. It presents results from a study identifying key genes regulating cadmium resistance in the filamentous fungus Paecilomyces lilacinus, using high-throughput Illumina HiSeq sequencing and bioinformatics analysis.
A 2.0 MB Excel dataset from figshare, last updated on 2026-05-14, containing results from a study on cadmium tolerance mechanisms in the filamentous fungus Paecilomyces lilacinus. The data was generated by author FangMei Wang using high-throughput Illumina HiSeq sequencing and bioinformatics analysis. It focuses on differentially expressed genes, including CreA, ZnT, and MTase, identified as key regulators under heavy metal stress.
FangMei Wang's dataset contains bioinformatics analysis results identifying key cadmium-resistant genes in the filamentous fungus Paecilomyces lilacinus. The data was generated using high-throughput Illumina HiSeq sequencing and differential expression analysis of fungi from heavy metal-contaminated soil. The dataset was last updated on 2026-05-14.
An Excel dataset presents results from a study on cadmium tolerance mechanisms in the filamentous fungus Paecilomyces lilacinus. The data was generated by FangMei Wang using high-throughput Illumina HiSeq sequencing and bioinformatics analysis, and was last updated on 2026-05-14. The 200.9 KB file contains findings on key regulatory genes like CreA, ZnT, and MTase.
129.9 KB of data from figshare details differentially expressed genes in a cadmium-resistant fungus. FangMei Wang uploaded this dataset on 2026-05-14, which stems from research on microbial adaptation to heavy metal contamination in the Xiangjiang River Basin. The study used high-throughput Illumina HiSeq sequencing and bioinformatics to identify key regulatory genes.
FangMei Wang's dataset contains genomic data from a study of cadmium resistance mechanisms in the filamentous fungus Paecilomyces lilacinus. The data was generated using high-throughput Illumina HiSeq sequencing and bioinformatics analysis to identify differentially expressed genes. It was last updated on May 14, 2026, and is shared under a CC-BY-4.0 license.
A 337.7 KB Excel dataset from figshare, last updated May 14, 2026, by FangMei Wang. It presents results from a study identifying key genes regulating cadmium resistance in the filamentous fungus Paecilomyces lilacinus, isolated from contaminated soil in the Xiangjiang River Basin. The data was generated using high-throughput Illumina HiSeq sequencing and bioinformatics analysis.
The Xiangjiang River Basin in China is the geographic focus of this study on microbial adaptation to heavy metal contamination. The dataset contains results from high-throughput Illumina HiSeq sequencing and bioinformatics analysis, highlighting differentially expressed genes related to cadmium tolerance in the filamentous fungus Paecilomyces lilacinus. Author FangMei Wang published the data under a CC-BY-4.0 license on figshare in May 2026.
Table 8_Functional characterization of CreA, ZnT, and MTase as key regulators of cadmium resistance in Paecilomyces lilacinus.xlsx contains data from a study on fungal cadmium tolerance mechanisms. The dataset, authored by FangMei Wang and last updated on 2026-05-14, presents results from high-throughput Illumina HiSeq sequencing and bioinformatics analysis of differentially expressed genes in filamentous fungi under heavy metal stress.
Xiangjiang River Basin soil microbes adapted to long-term heavy metal contamination are the focus of this study. The dataset, created by FangMei Wang and last updated in May 2026, likely contains results from high-throughput sequencing and bioinformatics analysis of cadmium-tolerant filamentous fungi. It highlights novel cadmium-resistant genes and their differential expression under stress.
A 14.5 KB document details key regulators of cadmium resistance in the fungus Paecilomyces lilacinus. Author FangMei Wang published the work on figshare under a CC-BY-4.0 license in May 2026. The research identifies novel Cd-resistant genes using high-throughput Illumina HiSeq sequencing and bioinformatics analysis.
Aldo A. Vasquez-Bonilla's database contains external load data from GPS devices worn by professional players in the Liga MX Femenil. The dataset includes match-by-match physical performance variables like total distance, high-speed running, and accelerations recorded during official competitions from 2020 to 2023. It was used to analyze the effects of match congestion and contextual factors on players' external load.
Muhammad Arif's dataset contains transcriptomics and clinical data from 44 left ventricle and 24 epicardial fat biopsies collected from 44 patients at Sahlgrenska University Hospital between 2013 and 2017. The data includes processed transcriptomics data (raw counts and TPM), clinical, and demographic information for patients with and without ischemic heart disease. The study was approved by the Gothenburg Regional Ethics Committee.
A proof-of-concept ontology for Non-Invasive Respiratory Support (NIRS) therapy, developed by Md Fantacher Islam and last updated in May 2026. It formally represents 145 classes, 11 object properties, and 18 data properties across 949 axioms to organize clinical concepts, therapy parameters, and outcomes. The ontology includes 392 annotations and Semantic Web Rule Language (SWRL) rules for clinical reasoning, validated using SPARQL queries on patient scenarios.
A 5.5 KB Excel file containing intrinsic properties for a computational neuroscience model. The dataset includes membrane properties, reversal potentials, and ionic conductances, with complete parameters and references provided in an associated S2 Table. It was authored by Mehdi Borjkhani and last updated on June 1, 2026.
181 pregnant women were provided HBV DNA testing across 10 high-volume hospitals in nine regions of Uganda. The dataset, created by Linda Kisaakye Nabitaka and last updated in May 2026, contains quantitative data extracted from facility registers and qualitative feedback from study teams, analyzing the operational feasibility of point-of-care viral load testing. 12% of tested women had viral loads >200,000 IU/mL, making them eligible for antiviral prophylaxis.
181 pregnant women were provided HBV DNA testing in a two-phase study at 10 high-volume hospitals across nine regions of Uganda. The dataset, created by Linda Kisaakye Nabitaka and last updated in May 2026, contains quantitative data extracted from facility registers and qualitative feedback from study teams. It assesses the operational feasibility, accessibility, and cost of implementing the Xpert HBV DNA assay in antenatal care settings.
A 20-microRNA signature for pancreatic cancer diagnosis, validated across multiple independent cohorts. The model was developed using 801 samples, including 767 for training and validation, and achieved cross-validation AUCs up to 0.87. Author Yanfei Zhu published this feature list on figshare in May 2026 under a CC-BY-4.0 license.
QuikSCAT's SeaWinds instrument collected Level 1B data containing geo-located Sigma-0 (radar backscatter) measurements from 1999 until at least 2013. The dataset includes detailed antenna pulse geometries, with a complete 'egg' footprint of approximately 25 km by 35 km and eight constituent 'slices' each measuring about 25 km by 7 km. This is the second reprocessed version of the data, but users must note a significant calibration discontinuity after the instrument entered a 'non-spinning' mode on 22 November 2009.
2,223 spectral channels across shortwave, midwave, and longwave infrared bands provide radiance measurements for atmospheric profiling. Each data granule covers 30 cross-track by 45 along-track field-of-regards, with each containing a 3x3 array of field-of-views, constructed on six-minute boundaries. This Level 1B data from the CrIS instrument is designed for joint processing with the ATMS microwave sounder as part of the CrIMSS suite.