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Cell biology, microbiology, ecology, biodiversity, species data, evolutionary biology
27,499 datasets
24 UK biodiversity indicators were published by the Joint Nature Conservation Committee on behalf of Defra, with the latest publication on 19 January 2016. This indicator, A5, provides data for 2013 on the integration of biodiversity considerations into large UK businesses in mining, manufacturing, and utilities. It shows the percentage of large companies with at least 250 employees that operate an Environmental Management System and formally consider the environment in supply chain procurement.
Data for 2013 underpins the UK biodiversity indicator B2, which measures the sustainability of fisheries. The indicator shows the percentage of fish stocks in UK seas that are harvested sustainably and at full reproductive capacity, based on seven species across 13 stocks. It is published by the Joint Nature Conservation Committee on behalf of Defra.
A project dataset from the Australian Institute of Marine Science (AIMS) quantifying stressors like sedimentation and light quality from dredging activities between 2016 and 2018. It contains matrices of hard data on the response of corals, sponges, seagrass, and algae to realistic environmental conditions. The data was generated to derive water quality thresholds and improve risk assessment processes for regulators.
NERP TE Project 7.1 investigates the poorly understood impacts of fire on rainforest vegetation and dependent wildlife. The project, led by CSIRO, established monitoring sites across Mission Beach, Tully lowlands, and Hinchinbrook Channel areas from 2011 to 2014. It produced maps to assess fire impacts on specific vegetation types, including littoral rainforest and riparian forest, and evaluated the effects of Tropical Cyclone Yasi.
Prokka v1.14.6 annotation files for the draft genome of Lactiplantibacillus plantarum strain LAB20, isolated from a freshwater fish gut. The dataset includes GFF3, GBK, and TSV files providing predicted coding sequences, RNA genes, and functional annotations. Author Nico Dumandan deposited the 43.0 MB dataset on figshare in June 2026, associated with GenBank accession JBXGSX000000000.
An occurrence dataset lists 84 macroalgal specimens from São Jorge Island in the Azores, belonging to 49 taxa. The data were compiled by the Island Aquatic Research Group of the University of the Azores from collections at littoral and shallow sublittoral levels. It provides information on species ecology and occurrence to address biodiversity knowledge shortfalls.
Data from the US-MtB eddy covariance site in a semiarid mixed conifer forest, collected between January 2020 and May 2021. The dataset includes flux tower measurements, tree sap flow, photochemical reflectance index (PRI), and unmanned aircraft system (UAS) imagery. It was created by Mostafa Javadian of the University of Arizona for a 2022 study published in the Journal of Geophysical Research: Biogeosciences.
A collection of induced word senses, a hypernym database, and clustered sense labels supporting hypernymy extraction research. The data was created by Alexander Panchenko of Universität Hamburg to demonstrate a method for improving hypernym extraction using distributionally-induced semantic classes. It includes semantic classes at two granularities, coarse and fine-grained, as described in the associated paper.
A study of shallow-water benthic ecosystems in the Vestfold Hills, Antarctic coastal region, using high-resolution multibeam and satellite-derived bathymetry data. The dataset, presented at the 2023 POLAR 2018 conference, provides a physical framework for understanding habitat distribution and vulnerability to sea ice changes. It is hosted by the Australian Ocean Data Network.
155 Venusian coronae, including the 150 largest and five smaller ones, are classified by topographic asymmetry. This database accompanies a 2023 Journal of Geophysical Research: Planets paper by Gülcher et al. from the Jet Propulsion Laboratory. The classification is based on the variability of topographic features like troughs, rims, and rises across each corona.
Source data from the manuscript 'Spectral Fidelity of Earth’s Terrestrial and Aquatic Ecosystems' includes reflectance spectra, aerosol models, and a six-dimensional aquatic reflectance lookup table. The data is associated with research from the Jet Propulsion Laboratory and uses formats from the ISOFIT forward model. Specific file counts and row numbers are not provided in the description.
Environment Agency data identifies wetland ecosystems reliant on groundwater in England for EU Water Framework Directive compliance. The dataset is based on SSSI outlines from Natural England and filtered for specific wetland vegetation communities. Note that this dataset is not exhaustive and was extracted from a larger England and Wales dataset created in 2014.
800 different hybridizations of Particle Swarm Optimization and Differential Evolution algorithms were benchmarked on a set of 24 continuous black-box test functions. The data includes expected running time metrics and raw runtimes from 30 independent runs per algorithm-problem pair, generated for a GECCO '20 conference paper by researchers from Leiden University.
Research from Yale University characterizes five phage-resistant mutants of the bacterial pathogen Shigella flexneri. The dataset likely contains phenotypic measurements and genomic sequencing data related to changes in membrane permeability, lipopolysaccharide levels, antibiotic sensitivity, and phage susceptibility. This work investigates the trade-off between phage resistance and virulence attenuation.
Field photographs from the western Makran subduction zone coast provide visual support for a scientific publication on Pleistocene coastal evolution. The dataset includes images classified by theme, such as marine terraces, normal faults, and sedimentary sections, accompanied by text legends and geolocation data in a KMZ file. A supplementary YouTube video presents some of the figures in their geological context.
A natural experiment controlling for confounding stimuli reveals that noise pollution filters bird communities nonrandomly based on vocal signal frequency. Data on nesting and abundance responses show birds with low-frequency signals avoid noisy areas, while those with higher-pitched vocalizations remain. The dataset, associated with research by Clinton D. Francis, suggests acoustic masking by noise may be a selective force shaping avian ecology.
Digital Hemispherical Photography (DHP) upward-looking images capture vegetation and crown cover at the Alice Mulga SuperSite. Images are collected twice per year in a 20 m grid within a core hectare plot and are used to estimate Leaf Area Index (LAI). The dataset is provided by the Terrestrial Ecosystem Research Network's Data Discovery platform.
Four marine surveys (SOL4934, SOL5117, SOL5463, SOL5650) conducted between 2009 and 2012 collected polychaete specimens from northern Australia. Sediment samples were processed and all polychaetes were taxonomically identified to species or operational taxonomic units by experts Chris Glasby and Charlotte Watson. Specimens are lodged at the Museum and Art Gallery of the Northern Territory, and the research was supported by the National Environmental Science Program Marine Biodiversity Hub.
A geospatial dataset mapping seabed environments in Esperance Bay, part of the Recherche Archipelago in temperate southwestern Australia. The data was collected using multibeam sonar, underwater video, predicted wave energy, and sediment analysis. It was published by the Australian Ocean Data Network and last updated on 2026-06-27.
Balgzand in the Western Wadden Sea, Netherlands, is the location for this animal tracking dataset. It contains GPS and acceleration data from 22 tagged Eurasian oystercatchers (Haematopus ostralegus) collected between 2010 and 2014 to study their winter utilization of intertidal flats in relation to food availability. The data is structured as a Frictionless Data Package, archived from the UvA-BiTS database via Movebank and Zenodo.