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Cell biology, microbiology, ecology, biodiversity, species data, evolutionary biology
27,527 datasets
A long-term dataset analyzed for fish assemblage change before and after a 2000 court-mediated Accord altered the flow regime of Putah Creek in Solano County, California. The data, from the University of California, Davis, tracks native and nonnative species richness and abundance at multiple sites over decades. It shows decreased nonnative species richness and increased native assemblage stability following rehabilitation efforts.
Australian Ocean Data Network hosts data from a novel sampling method for marine ecology. The Mounted Assembly for Planktobenthic Sampling (MAPS) uses a tri-layered net on an epibenthic sled to concurrently collect benthic and suprabenthic specimens. It was deployed on the Carnarvon Shelf in Western Australia and collected a wide variety of epibenthic, infaunal, and planktobenthic organisms like mysids.
Iranian Makran beaches in Pozm bay, Chabahar bay, and Beris provide field pictures, radiocarbon dating results, and optically stimulated luminescence (OSL) dating data. The dataset includes SEM images of shells and analytical details for both dating methods. Raphaël Normand from the University of Geneva published this data in support of a research paper.
Simulation output from the individual-based, spatially explicit LAVESI-FIRE model for Central Yakutia, Siberia. The data includes timeseries of tree abundance, climate, and fire occurrence, as well as spatial grid data for multiple tree species. It was produced by Ramesh Glückler of the Alfred Wegener Institute to study long-term wildfire impacts on boreal forest structure since the Last Glacial Maximum.
Microhabitat selection data for the lesser hairy-footed dunnart and wolf spiders in the Simpson Desert, Australia. The dataset includes percentage cover of seven microhabitat variables and distances to nearest cover measured along individual trails and control trails. Data was collected across 16 trapping grids at Main Camp during July and October 2017.
Southeast Tasmania's shelf bathymetry is visualized in a flythrough movie derived from multibeam sonar collected in 2008 and 2009. The data highlights rock reef habitats, including low-relief reefs near Freycinet and Tasman Peninsulas and high-relief reefs around Hippolyte Rocks. Survey work was a collaboration between Geoscience Australia and the University of Tasmania's Institute for Marine & Antarctic Studies.
Additional files 1-7 from a phylogenetics study include data for 35-38 taxa. The dataset contains phylogenetic matrices, taxon occurrence data, character descriptions, and scripts for Bayesian analysis and figure generation. Tiago R. Simões authored the research, which is published via Harvard University Press.
A well-preserved Late Triassic palynoflora from the upper Flagstone Bench Formation, Prince Charles Mountains, East Antarctica, contains taxa widely distributed in coeval Tethyan Laurasian assemblages. The assemblage is assigned to the Australian Minutosaccus crenulatus Zone and considered to be of Norian age. This record is hosted by the Australian Ocean Data Network and was last updated on 2026-06-23.
A molecular phylogeny of the plant genus Urvillea derived from 11 genetic markers using maximum likelihood and Bayesian approaches. The dataset combines phylogenetic reconstruction with stochastic character mapping to assess evolutionary changes in five distinct stem ontogenies, determined from developmental anatomy of field-collected, herbarium, and wood collection samples. The research was conducted by Israel L. Cunha Neto of Cornell University.
109 first and fourth grade primary school children in Taichung, Taiwan, were recruited for a gut microbiome and immune response study. The research, conducted by Chin-An Yang of China Medical University, examined changes in microbial diversity and cytokine levels before and after pinworm infection and mebendazole treatment. Gut microbiota diversity increased after Enterobius infection and peaked after administration of mebendazole.
A sagebrush site on the Caribou-Targhee National Forest in Idaho received a prescribed burn in 2003. This dataset contains measurements from 2003 to 2010, including bulk density, ground cover, soil loss, weather, and hillslope runoff, collected by the US Forest Service. The study aimed to quantify fire impacts on surface erosion, runoff, sediment production, and belowground soil properties and insect communities.
87 structurally coloured and 30 non-coloured bacterial isolates were collected, sequenced, and optically analyzed. Genome-wide association studies identified genes linked to structural colour, and a classifier was built to predict the trait from genome sequences. The work by Aldert Zomer of Utrecht University provides an ecogenomics view of structural colour across over 13,000 metagenomes.
Data from 2020 and 2021 supports a study on how summer drought impacts land surface cooling by tundra vegetation in North-Eastern Siberia. The dataset includes drone-derived multispectral, RGB, and thermal imagery mosaics, land cover training polygons, and meteorological observations. It was created by Nils Rietze and colleagues from the University of Zurich for the associated research paper.
A desktop study investigates potential statistical relationships between marine seismic survey operations and commercial fish catch rates in the Bass Strait and Gippsland Basin, Australia. The analysis uses historical fishing logbook data and seismic survey records, employing novel generalized linear models to account for environmental variables and spatial-temporal factors. The study, associated with the Australian Ocean Data Network, found no clear or consistent relationship between seismic surveys and subsequent fisheries catch rates.
The Geobiodiversity Database (GBDB) is a stratigraphic and palaeontological database containing abundant geological records from China. It has contributed to scientific studies on early Palaeozoic palaeogeography, tectonic and biodiversity evolution. A major turnover and improvement of the database and its website began in 2019, with a new focus on data analysis using artificial intelligence techniques.
Zonation prioritization results from the research paper 'Spatial Prioritization for Urban Biodiversity Quality Using Biotope Maps and Expert Opinion' by Jalkanen, Vierikko & Moilanen 2020. The dataset includes Zonation setting and output files for the Helsinki Metropolitan area, covering the cities of Helsinki, Espoo, Kauniainen, and Vantaa. The analysis is based on expert elicitation and a biotope map compiled from multiple GIS data sources.
Data from Kemppinen et al. (2021) explores trait-environment relationships in tundra ecosystems. It combines field data from 6,720 plots and 217 species across four tundra regions with over 76,000 database trait records. The dataset relates plant community traits to environmental drivers like soil moisture, temperature, pH, and solar radiation.
33 peat cores from 16 high-latitude peatlands in Sweden, Finland, and European Russia provide raw data on vegetation and carbon dynamics. The dataset includes plant macrofossil records, peat bulk density, carbon, nitrogen, and C/N ratios, with chronological control from 210Pb and radiocarbon dating. Sanna Piilo and colleagues at the University of Helsinki analyzed the data between 2016 and 2020 to study peatland responses to climate change over the past two millennia.
The Marsh Equilibrium Model (MEM) integrates Landsat 8, WV2, AVIRIS, and PRISM remote sensing data to project tidal marsh elevation changes under sea-level rise scenarios. This research dataset, authored by Kristin B. Byrd of the United States Geological Survey, compares biomass and sediment concentration models to forecast habitat distributions up to 100 years into the future. Results focus on a brackish tidal marsh in San Francisco Bay.
Edwin B. Forsythe National Wildlife Refuge in New Jersey, USA, contains data on the spatial variation of mean tidal range across its salt marsh units. The dataset was created by Zafer Defne and Neil K. Ganju of the U.S. Geological Survey using VDatum software to calculate the difference between mean high water and mean low water. It supports the Hurricane Sandy Science Plan's Wetland Synthesis Project to assess coastal wetland vulnerability and ecosystem service potential.