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Cell biology, microbiology, ecology, biodiversity, species data, evolutionary biology
23,005 datasets
Three novel haloarchaeal strains from hypersaline sites in Russia, Portugal, Italy, and Vietnam demonstrate the previously unknown ability to degrade glycosaminoglycans like hyaluronic acid. The dataset includes genomic analysis identifying the genes responsible for this metabolic activity. Dimitry Y. Sorokin published this research on figshare in 2026 under a CC-BY-4.0 license.
A 675.5 KB dataset from figshare, last updated on 2026-05-29, contains results from an in vitro infection prevention model. Robert Kamphof authored this study investigating the effect of temperatures from 32°C to 42°C on bacterial killing, adhesion, and antibiotic susceptibility for three clinical isolates. The data likely includes bacterial load measurements in colony forming units per milliliter (CFU/mL) and dose-response curves for antibiotics cefazolin and gentamicin.
Daqing and Haikou, China, are the geographic focus of this dataset comparing gut microbial and metabolic profiles in hypertensive patients from distinct climatic regions. It contains results from shotgun metagenomic sequencing and untargeted metabolomics on fecal samples from 60 patients, collected between May and December 2024. The data was authored by Shuyue Liu and shared under a CC-BY-4.0 license.
Shotgun metagenomic sequencing and untargeted metabolomics data from fecal samples of 60 hypertensive patients collected between May and December 2024. The study compares microbial and metabolic profiles from patients in two Chinese cities with distinct climates: Daqing (middle-temperate) and Haikou (tropical). The dataset was authored by Shuyue Liu and published on figshare.
A comparative analysis of gut microbial and fecal metabolite profiles from 60 hypertensive patients in Daqing and Haikou, China. The dataset was generated by Shuyue Liu using shotgun metagenomic sequencing and untargeted metabolomics on samples collected between May and December 2024. It includes results identifying 34 differentially abundant genera and 38 differentially abundant metabolites between the two geographic groups.
60 fecal samples from hypertensive patients in Daqing and Haikou were analyzed using shotgun metagenomic sequencing and untargeted metabolomics. The data includes 34 differentially abundant microbial genera and 38 differentially abundant metabolites, such as 15-HETE and ginsenoside Rg3. Shuyue Liu published this cross-sectional study conducted between May and December 2024.
Daqing and Haikou, China, are the geographic focus of this dataset. It contains shotgun metagenomic and untargeted metabolomic data from fecal samples of 60 hypertensive patients, collected between May and December 2024. The data was generated by Shuyue Liu and published on figshare in 2026.
A cross-sectional study conducted between May and December 2024 analyzed fecal samples from 60 hypertensive patients in Daqing and Haikou, China. The dataset, created by Shuyue Liu and shared under CC-BY-4.0, includes results from shotgun metagenomic sequencing and untargeted metabolomics. It compares microbial composition and metabolite profiles between patients from middle-temperate and tropical climates.
Table 3 from a comparative study of the gut microbiome and fecal metabolome in hypertensive patients from middle-temperate and tropical cities of China: Daqing and Haikou. The dataset was authored by Shuyue Liu and last updated on May 22, 2026. It contains results from a cross-sectional study of 60 patients, analyzing microbial composition and metabolite profiles using shotgun metagenomic sequencing and untargeted metabolomics.
Daqing and Haikou, China, are the geographic focus of this cross-sectional study comparing gut microbial and metabolic profiles in hypertensive patients from distinct climatic regions. The dataset likely contains results from shotgun metagenomic sequencing and untargeted metabolomics analysis of fecal samples from 60 patients collected between May and December 2024. It was authored by Shuyue Liu and published on figshare under a CC-BY-4.0 license.
A cross-sectional study conducted between May and December 2024 analyzed fecal samples from 60 hypertensive patients in Daqing and Haikou, China. The dataset, authored by Shuyue Liu, includes shotgun metagenomic sequencing and untargeted metabolomics results. It identifies differentially abundant microbial genera and metabolites associated with geographic and climatic differences.
A cross-sectional study conducted between May and December 2024 analyzed fecal samples from 60 hypertensive patients in Daqing and Haikou, China. The dataset, authored by Shuyue Liu and shared on figshare, contains results from shotgun metagenomic sequencing and untargeted metabolomics. It includes findings on differentially abundant microbial genera and metabolites associated with geographic differences.
Daqing and Haikou, China, are the geographic foci of this dataset. It contains comparative gut microbiome and fecal metabolome data from 60 hypertensive patients, collected between May and December 2024. The data was generated by Shuyue Liu using shotgun metagenomic sequencing and untargeted metabolomics.
Mandatory notifications to the Canadian Food Inspection Agency provide real-time updates on Canada's aquatic animal health status. This dataset lists the number of confirmed cases of federally reportable diseases in both wild and farmed aquatic animals from 2010 onward. The data is published by the Canadian Food Inspection Agency and was last updated in May 2026.
A 2026 study in Esperance Bay, part of the Recherche Archipelago in temperate southwestern Australia, examines relationships between seabed geomorphology and benthic habitat distribution. The dataset likely contains multibeam sonar, underwater video, predicted wave energy, and sediment data for a shallow (<50 m), high-energy, biogenic sediment-dominated environment. Results indicate wave energy exposure is a key predictor for rhodolith and seagrass habitats, while rhodolith beds correlate with poorly sorted sediments high in gravel, mud, and CaCO₃.
A six-day trawl survey in September 2017 examined day-night variations in demersal fish catches on the shelf-break off southwestern Sicily. The dataset likely contains catch data for species like Illex coindetii, Merluccius merluccius, and Parapenaeus longirostris, analyzed to identify distinct nocturnal and diurnal assemblages. Giacomo Sardo authored this dataset, which was last updated on 2026-05-29.
A trawl survey dataset examining day-night variations in demersal fish catches on the shelf-break off southwestern Sicily. The data was collected over six days in September 2017, with seven hauls performed daily between full daylight and complete darkness. The dataset, authored by Giacomo Sardo, characterizes diurnal and nocturnal assemblages and includes catch-per-unit-effort (CPUE) data for commercial species.
The Strait of Sicily, central Mediterranean Sea, is the location for this dataset on day-night variations in demersal fish catches. It was created by Giacomo Sardo from a six-day trawl survey in September 2017 on the shelf-break off southwestern Sicily. The data includes catch rates for species like Parapenaeus longirostris, Trachurus trachurus, and Merluccius merluccius, analyzed for diel patterns.
The Strait of Sicily, central Mediterranean Sea, is the location for this dataset on day-night variations in demersal fish catches. It was collected via a six-day trawl survey in September 2017 on the shelf-break off southwestern Sicily, with seven hauls performed per day. The data was authored by Giacomo Sardo and is licensed for reuse under CC-BY-4.0.
C. Vaggi's dataset characterizes fecal bacterial microbiomes in piglets based on fecal color, consistency, and sample type before and after weaning. It includes data from 192 piglets across two replicate batches, with fecal consistency scored daily from day of life 28 to 36 and samples collected at DoL28 and DoL33. Microbial composition was analyzed via 16S rRNA gene sequencing using QIIME2, SAS, and R.