Loading...
Loading...
Cell biology, microbiology, ecology, biodiversity, species data, evolutionary biology
24,512 datasets
A global compilation of photosynthetic and leaf nutrient data compiled from literature reviews. The dataset includes estimates of Vcmax, Jmax, leaf nitrogen, phosphorus, and specific leaf area for 325 species and treatment combinations, with data compiled from studies conducted between 1970 and 2011. It also contains leaf carbon, nitrogen, phosphorus, potassium, calcium, and magnesium concentrations from 86 studies in 31 countries, and global leaf area index values from 1,216 locations.
Airborne LiDAR data and derived biomass maps collected over Gabon, Africa, as part of a NASA campaign in collaboration with the European Space Agency. The dataset includes geotagged images, return energy waveforms, surface elevation, and gridded aboveground biomass estimates for four forested sites. Data collection occurred from 2010 to 2016, with specific canopy structure flights in February and March 2016.
Stable isotope analysis results for sediment samples from the Canadian Beaufort Sea, including δ13C and δ15N measurements. The data was collected and published by Fisheries and Oceans Canada, with a record last updated in May 2026. It likely contains measurements of total nitrogen and total carbon for ecological studies.
Colombia's University of Magdalena faculty records for tenured, occasional, and contract staff linked since the 2018 fiscal year. The dataset includes demographic and employment details such as hiring date, highest education level, and country of birth. It is published on the datos.gov.co platform via Socrata and was last updated on 2026-05-18.
Three 30-meter resolution maps detail the fractional cover of woody, herbaceous, and nonvascular fire fuels across Alaskan arctic tundra circa 2015. The National Aeronautics and Space Administration created these maps by combining multi-seasonal Landsat 8 satellite data from 2013-2017 with field observations from representative vegetation plots. An improved vegetation mask for shrub and graminoid-dominated tundra, developed using random forest classification, is also included.
9.3 KB of data in XLSX format presents a unified formula for predicting sediment erosion rates. Authored by YUAN XU and last updated on May 11, 2026, it addresses the limited quantitative prediction of sediment erosion in vegetated regions like rivers, lakes, and wetlands.
Four collaborative marine surveys over 247 days mapped 1754 km² of seabed using multibeam echosounders, sub-bottom profilers, underwater cameras, and grab samplers. Geoscience Australia, the Australian Institute of Marine Science, and the Northern Territory Government acquired this baseline data between 2015 and 2018. The program provides new insights into tropical northern Australia's marine environments to inform future resource management and environmental assessments.
INM-Gem is a near-infrared fluorescent prodrug dataset for cancer theranostics, authored by Neha Jain and last updated on 2026-04 16. The dataset, 711.0 B in size, contains information on a benzyl-spacer-engineered prodrug that releases gemcitabine and emits fluorescence at 673 nm upon activation. It was characterized using a zebrafish gallbladder model to assess tissue penetration, background signal, and specificity.
A research paper authored by Ana D. Caperta of the University of Lisbon analyzes salt glands and secretory structures in the Plumbaginaceae family and related taxa. The paper identifies at least 45 salt-tolerant species in the genus Limonium and others across genera like Aegialitis and Plumbago. It describes gland structure and considers their evolutionary origin and role in secreting ions like Na+ and Cl- and elements like As and Cd.
Eight plots of Caatinga vegetation were sampled to measure the impact of roads on plant communities. The dataset includes species classifications for resprouting capacity, nitrogen fixation, succulence/spines, urticancy/toxicity, lifeform, endozoochory, maximum height, and maximum diameter. It was created by Nayara Mesquita Mota of Universidade Federal de Viçosa and shared via Paperswithcode.
A study by Varsha S. Pathare of Washington State University measured leaf-level structural and anatomical traits in 18 C4 grass species adapted to habitats with different mean annual precipitation. The dataset includes measurements of mesophyll surface area, stomatal density, leaf thickness, vein-to-epidermis distance, photosynthetic rates, and leaf-level water-use efficiency. These traits were analyzed to understand their relationship with photosynthetic carbon gain and transpirational water loss.
Biuret, a common impurity in urea fertilizers, reaches sub-millimolar concentrations in rice plants and causes direct toxicity. Transgenic rice plants overexpressing exogenous biuret hydrolase from a soil bacterium gained improved tolerance and used biuret as an additional nitrogen source. The dataset likely contains experimental results from Kyoto University researcher Kumiko Ochiai.
A theoretical synthesis paper by Kevin S. McCann of the University of Guelph integrates food web and meta-ecosystem theory to analyze nutrient addition effects. It synthesizes concepts from Michael Rosenzweig and David Tilman to propose a framework for predicting nutrient-driven instability across landscapes. The paper suggests human ecological connectivity is entangling distant ecosystems, causing expansive nutrient-driven instabilities.
135 study plots in temperate forests were surveyed six times each for vegetation, light conditions, and soil properties. The research by Jan Helbach from the University of Freiburg tested the heterogeneity-diversity hypothesis, finding that increased light heterogeneity from complex canopies predicts greater understory plant species richness. Standard deviations of measured parameters were calculated to quantify resource heterogeneity.
An opinion paper by William E. Peterman of The Ohio State University outlines appropriate and inappropriate uses of multiple regression models in landscape genetic analyses. The paper critiques the prevalent practice of using independent effective distance variables to explain genetic differences and advocates for univariate modeling approaches. It highlights statistical challenges like suppression and discusses ongoing advances in modeling genetic covariance with landscape variables.
Histone H3 lysine 4 trimethylation (H3K4me3) is a chromatin modification linked to both gene activation and repression in plants. This review by Maryam Foroozani of Louisiana State University examines its role in regulating genes for flowering, root and shoot development, and stress memory. The paper synthesizes current understanding of how this epigenetic mark modulates plant responses to environmental and developmental cues.
A retrospective cohort study from the University Hospitals of Leuven reports on bacteraemia incidence in 155 patients implanted with a Micra leadless pacemaker between July 2015 and July 2019. The data includes 15 patients who developed bacteraemia, with details on infection timing, bacterial species, and patient outcomes. The study was authored by Christophe Garweg and is available via Open Access.
A dataset from the Scottish Government's Forestry Grant Scheme (FGS) supporting the management and restoration of native woodlands. It aims to maintain native woodland, bring designated features into good ecological condition, and restore Plantations on Ancient Woodland Sites. The data is provided by the Government Digital Service.
A conceptual paper argues significant spatial associations between species are a poor proxy for ecological interactions. Authored by F. Guillaume Blanchet of Université de Sherbrooke, it critically assesses the use of co-occurrence data in community assembly theories dating from Forbes (1907) and Diamond (1975). The work discusses appropriate interpretations of co-occurrence and potential avenues to extract information from such observational data.
Yukon Wildlife Key Areas are GIS polygons identifying locations used by wildlife for critical seasonal functions. The dataset, maintained by the Yukon government, is derived from local interviews and GIS interpretation of wildlife surveys, with updates occurring periodically.