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Cell biology, microbiology, ecology, biodiversity, species data, evolutionary biology
22,889 datasets
Isotope ratios and elemental concentrations for carbon and nitrogen are provided for 320 foliar samples from 45 woody species and soil samples from 5 cerrado sites in Brazil. The data, collected by NASA's LBA-ECO project, covers a sampling period from December 1999 to September 2000. Soil cores were taken to depths of 450 cm in campo sujo and 800 cm in other cerrado vegetation types.
A collection of thousands of high-resolution still images from the Eastern and Western margins of Australia, used to identify and characterize deep-sea lebensspuren—sedimentary structures created by organisms. The data was compiled by the Australian Ocean Data Network to correlate abiotic factors with biological features and evaluate imagery as a technique for quantifying biological activity. The dataset was last updated in June 2026.
Vegetation cover and composition data were collected at four sites along the Kalahari Transect in Botswana during the SAFARI 2000 wet season campaign. The dataset includes species identification, canopy diameter, and percent cover estimates for live/dead herbaceous material, litter, and bare soil across 12 sampled locations per site. It was produced by the National Aeronautics and Space Administration, with data collection occurring in the year 2000.
Darwin and Bynoe Harbour regions in northern Australia are covered by a 10-meter resolution raster grid predicting seabed mud content. The predictions are based on 395 physical samples and nine environmental variables derived from high-resolution multibeam sonar data, achieving a reported VEcv accuracy of 62% for mud. This dataset supersedes previous predictions and was created to underpin marine resource management decisions.
2001-2002 growing seasons provide the temporal coverage for this dataset of in-situ tundra plot measurements near Utqiagvik and Atqasuk, Alaska. It includes spectral reflectance, CO2 gas exchange, chlorophyll pigments, surface temperature, and permafrost active layer depth. The data were collected by NASA as part of the International Tundra EXperiment (ITEX).
Gross primary production (GPP) estimates for the conterminous United States derived from satellite-based solar-induced chlorophyll fluorescence (SIF). The dataset provides daily, spatially explicit GPP values and uncertainties at 500-meter resolution from February 15,我们发现2018, to October 15, 2021. NASA produced this data by applying a linear model calibrated with measurements from 102 AmeriFlux ground sites to SIF observations from the TROPOMI instrument on the Sentinel-5P satellite.
1984 to 2018 annual estimates of percent ground cover for tree, shrub, herb, and non-vegetation lifeforms across the conterminous United States. NASA produced these data using quantile regression forest models trained on Landsat surface reflectance and 165 airborne LiDAR datasets from G-LiHT and NEON AOP. The results are tiled into 425 units following the CONUS Landsat ARD grid.
Southeast Tasmania's continental shelf bathymetry is visualized in a flythrough movie derived from multibeam sonar surveys. The data, collected in 2008 and 2009, highlights low-relief and high-relief rock reefs that serve as substrate for kelp gardens and sponge communities. Survey work was a collaboration between Geoscience Australia and the University of Tasmania's Institute for Marine & Antarctic Studies.
Foliar carbon and nitrogen stable isotope signatures were measured for dominant herbaceous species at six wetland sites in Louisiana's Atchafalaya and Terrebonne basins. Data collection occurred over a nine-day period in August 2021 as part of the NASA Delta-X airborne campaign. The dataset provides insights into plant nutrient sourcing and ecosystem processes in a dynamic coastal delta environment.
NASA's Ecosystem Demography Model (ED version 1.0) provides simulated estimates of ecosystem carbon stocks and fluxes for the conterminous United States. The mechanistic model, incorporating sub-models for physiology and hydrology, was run at a 1.0-degree resolution from 1700 to 1990. Output data on carbon dynamics is stored in NetCDF format.
Australian Ocean Data Network presents research on the potential impacts of low-frequency sound from marine seismic surveys on marine fauna. The study involves six components including sound modelling, monitoring, benthic community assessment, and analysis of fisheries catch data. The project was developed in response to stakeholder concerns about an April seismic survey in the Gippsland Basin.
24.4 tons of fish biomass, equating to 2.81 metric tons of carbon, were estimated for the Rio Grande Valley Reef. Allison K. White used a Simrad EK80 split-beam sonar to calculate biomass from fish echo returns and length-weight relationships. This dataset provides information on fish biomass and carbon storage in a 1,650-acre artificial reef in the northwestern Gulf of Mexico.
24.4 tons of fish biomass, equating to 2.81 metric tons of carbon, were estimated for the 1,650-acre Rio Grande Valley (RGV) artificial reef in the Gulf of Mexico. The dataset was created by Allison K. White using split-beam sonar and literature-derived measurements to assess carbon held in fish populations. It was last updated on June 4, 2026.
LBA Regional Land Cover from AVHRR, 8-km, 1984 (DeFries et al.) is a subset of a global land cover product created for the Large Scale Biosphere-Atmosphere Experiment in Amazonia study area. The dataset classifies land cover into 13 categories using 1984 Pathfinder AVHRR Land data at 8-km resolution, derived from red, infrared, thermal bands, and NDVI metrics via a decision tree classifier. It was developed by the University of Maryland's Laboratory for Global Remote Sensing Studies to support global change research.
Validation data from a study evaluating rapid screening methods for veterinary antibiotics in animal feed. The study validated a microbial inhibition assay and three lateral-flow tests using blank feed samples from Belgian suppliers and 124 commercial broiler feed samples collected in Kenya in November–December 2022. CCβ values were established for twelve antibiotic classes, and LC-MS/MS confirmed specific antibiotics in field samples.
Thirteen years of MODIS-derived 8-day average climatologies for biophysical parameters like albedo, land surface temperature, and leaf area index are provided at a 5-km resolution across North America. The dataset includes separate files for each MODIS land cover type and four scenarios of potential vegetation shifts to model radiative forcing. It was originally developed to quantify biophysical forcing from land-use changes, particularly in forestry.
A 16S rRNA gene metagenomic sequencing dataset from an integrated constructed wetland system treating 1 MLD (Million Liters per Day) of sewage since 2014. The data was generated by Nidhi Seth and explores bacterial functional groups in sludge and rhizospheric sediments, correlating them with water quality changes. It was last updated on 2026-05-28.
Comparative analysis of 62 full-length Zonula occludens toxin (Zot) homologs from Acinetobacter baumannii isolates underpins this immunoinformatic dataset. It contains results from high-resolution epitope mapping, identifying conserved B-cell–accessible regions and MHC Class I and II binding motifs. The data provides a foundation for evaluating Zot as a structurally constrained target for immunotherapeutic intervention against multidrug-resistant pathogens.
14 freshwater fish species in South Korea have habitat suitability indices developed from data collected at 195 study sites between 2007 and 2024. Seounghwan Park created multiple indices using a resource selection function approach fitted with a generalized linear mixed model. The dataset includes generalized and stream habitat-type-specific models for sand-bed and gravel-bed streams.
Chengyao Peng published data on figshare in 2026 from a study of feed additive effects on chicken gut microbiomes. The dataset contains results from a repeated cross-sectional randomized controlled trial involving 96 broiler chickens across three dietary groups and four developmental time points. It includes network topology metrics from a comparative analysis of microbial co-occurrence networks under different feed conditions.