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Cell biology, microbiology, ecology, biodiversity, species data, evolutionary biology
24,525 datasets
A 2011-2017 compilation of survey data provides a spatially continuous prediction of seabed mud content for the Darwin and Bynoe Harbour region. The grid was created by Geoscience Australia, the Australian Institute of Marine Science, and the Northern Territory Government's Department of Environment and Natural Resources. It presents predictions in 10-meter resolution raster grids and ASCII text format.
Environmental DNA (eDNA) metabarcoding results from the U.S. Fish and Wildlife Service's Great Lakes Early Detection Monitoring program for 2024 and 2025. The data is structured across three linked tables detailing sampling sites, collection processes, and taxonomic identifications. The datasets are provided by the Department of the Interior and were last updated in April 2026.
A collection of zooplankton abundance data from the Australian Continuous Plankton Recorder (AusCPR) survey, a joint project of CSIRO and the Australian Antarctic Division. It is designed for time series analysis, with data binned into products where a 0 abundance indicates a species was looked for but not seen, and -999 indicates it was not looked for in that sample.
Fisheries and Oceans Canada provides experimental data on the mortality and growth of three estuarine mollusc species exposed to freshwater pulses. The dataset contains individual-level records, including date of death, initial weight, and morphometric measurements taken over a six-week laboratory experiment. Results are published in the Journal of Experimental Marine Biology and Ecology.
A 26-year simulation period (1995–2020) is used to evaluate recovery strategies for endangered Sacramento River winter-run Chinook salmon. The study couples water-planning, hydrodynamic, habitat capacity, and survival models within a life cycle model to assess management actions. The supplementary PDF file, authored by Ann-Marie K. Osterback and licensed under CC-BY-4.0, presents the model and results.
A supplementary PDF file presents a population dynamics model evaluating recovery strategies for endangered Sacramento River winter-run Chinook salmon. The study, authored by Ann-Marie K. Osterback, couples habitat, hydrological, and population models to simulate scenarios from 1995 to 2020. It analyzes the synergistic effects of multiple management actions on population size.
Shotgun metagenomic analysis of subgingival plaque samples from 16 individuals across healthy, periodontitis, and diabetic periodontitis groups. The dataset includes results on alpha/beta diversity, taxonomic profiling, pathogen-probiotic ratios, and metabolic pathway abundance. It was authored by Harshvardhan and last updated on 2026-04 14.
NASA collected environmental, soil, and vegetation data from study plots near Lake Colleen at Prudhoe Bay, Alaska, in August 2014. The dataset records species composition, leaf area index, soil moisture, color, and plot characteristics like slope and aspect. It provides a snapshot of Arctic tundra conditions for a specific location and time.
A 413.9 KB PDF file from figshare contains supplementary data from a study investigating the role of Brain-derived neurotrophic factor (BDNF) in recognition memory. The dataset, authored by Eleonora Rovegno and last updated in April 2026, likely includes behavioral measurements from zebrafish larvae subjected to a novel object recognition test. The results suggest individual variation in response to novel stimuli and a potential effect of BDNF knockout on recognition memory performance.
A multi-dimensional assessment of soil microbial communities across seven distinct chemically contaminated sites in China. The dataset integrates non-target chemical screening via HPLC-HRMS with 16S rDNA high-throughput sequencing and molecular ecological network analysis. It was authored by Deling Fan and last updated on 2026-04 14.
A 2026 study by Qun Yu applies niche theory to the conservation of Rosa anemoniflora, a threatened plant endemic to China. The dataset likely contains metrics quantifying intraspecific niche breadth across habitats, analyzed using correlation, regression, and structural equation modeling. It is a 24.2 KB document file shared under a CC-BY-4.0 license.
Three rhomboid proteases (CpRom1, CpRom2, CpRom3) were identified in the Cryptosporidium parvum parasite. Researcher Ilaria Vanni analyzed their phylogenetic origin, structural motifs, and subcellular distribution in sporozoite cells. The supporting data was last updated in April 2026.
Three rhomboid proteases (CpRom1, CpRom2, CpRom3) in the Cryptosporidium parvum parasite were analyzed for phylogeny, structure, and sporozoite localization. The study, authored by Ilaria Vanni, identifies 10 candidate substrate proteins and compares rhomboid presence across Cryptosporidium species. The dataset was last updated in April 2026.
Ilaria Vanni's 2026 study provides a phylogenetic, structural, and cellular localization analysis of rhomboid proteases in the parasite Cryptosporidium parvum. The work identifies three rhomboids (CpRom1, CpRom2, CpRom3) and compares them across Cryptosporidium species and other apicomplexans. It details their distinct spatial distributions in the invasive sporozoite stage and lists candidate substrate proteins.
Three rhomboid proteases (CpRom1, CpRom2, CpRom3) were identified in the Cryptosporidium parvum parasite, with distinct subcellular localizations in sporozoite cells. The study analyzes their phylogenetic origin, structural motifs, and lists 10 candidate substrate proteins. Ilaria Vanni authored this research, made available on figshare in April 2026.
Cryptosporidium parvum rhomboid proteases are analyzed for phylogeny, structure, and cellular localization. The study identifies three rhomboids (CpRom1, CpRom2, CpRom3) and 10 candidate substrate proteins. Author Ilaria Vanni published this analysis in April 2026.
Ilaria Vanni's 2026 research article analyzes the rhomboid protease repertoire in the Cryptosporidium parvum parasite. The study details the phylogenetic origin, structural motifs, and subcellular localization of three rhomboids (CpRom1, CpRom2, CpRom3) in sporozoite cells. It compares these proteases across Cryptosporidium species and lists 10 candidate substrate proteins.
Three rhomboid proteases (CpRom1, CpRom2, CpRom3) were identified and analyzed in the Cryptosporidium parvum parasite. The study details their phylogenetic origin, structural motifs, and distinct subcellular localization in sporozoite cells. Authored by Ilaria Vanni and published on figshare in April 2026.
Ilaria Vanni's 2026 figshare publication analyzes three rhomboid proteases (CpRom1, CpRom2, CpRom3) in the Cryptosporidium parvum parasite. The study details their phylogenetic origin, structural motifs, and distinct subcellular localization within sporozoite cells. It also lists 10 candidate membrane protein substrates for these proteases.
Three rhomboid proteases (CpRom1, CpRom2, CpRom3) were identified and characterized in the parasite Cryptosporidium parvum. The dataset contains phylogenetic, structural, and subcellular localization analysis for these enzymes in sporozoite cells. Author Ilaria Vanni published this research on figshare in April 2026.