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Cell biology, microbiology, ecology, biodiversity, species data, evolutionary biology
27,884 datasets
A technical report presents the scientific analyses from a four-year collaborative habitat mapping program in the Darwin and Bynoe Harbour region. The program was conducted by Geoscience Australia, the Australian Institute of Marine Science, and the Northern Territory Government Department of Environment and Natural Resources. It was funded by offset funds from the INPEX-operated Ichthys LNG Project and co-investments from the partner agencies.
Western Australia's Landgate provides visual displays of vegetation density changes derived from Landsat imagery. The product highlights areas of change over three specific dates for visual interpretation.
Legacy data from the Australian Ocean Data Network details waterflood susceptibility tests on core samples from four offshore oil wells. The dataset, published on data_gov_au, likely contains experimental results from the Kingfish and Mackerel fields in the Gippsland Basin. No abstract or detailed column information is available for this record.
Monitoring Trends in Burn Severity (MTBS) is an interagency program mapping the location, extent, and burn severity of large fires across the United States. The dataset includes thousands of mapped fire perimeters and associated burn severity data, made publicly available for the fire science community. Analysis of historical trends up to 2016 showed that burn area and severity had not changed substantially for most vegetation groups.
A dataset titled 'wild-animal' is hosted on the Kaggle platform. The dataset's specific content, size, and structure are not detailed in the available metadata. Further details such as the author, license, and update history are unknown and require verification from the source page.
Alice Holt research data from two experiments on the effect of winter triclopyr herbicide applications on the survival and growth of young tree seedlings. The work investigates varying dose rates on ash, oak, beech, birch, hazel, Scots pine, Douglas fir, and Japanese larch, with and without competition from bramble. The dataset is associated with a 2013 publication in the journal Forestry.
1947 to 2010 shoreline change data for the Basse-Normandie region of France, digitized from orthorectified aerial photographs. The dataset includes trend histograms and synthesized linear information for homogeneous sectors, produced by the Bureau de Recherches Géologiques et Minières (BRGM) in collaboration with CEREMA, DREAL, and ROLNP. It is provided as a WMS service.
Research data from a $1 million California Marine Resources Protection Act program administered by UC Sea Grant. The dataset covers fish communities, population studies, and habitat in four distinct coastal ecological reserves from 1996 to 2001. It was collected to evaluate marine reserves as a resource management tool and assess harvest resilience.
Eurostat provides data on biochemical oxygen demand (BOD5) in rivers, a key indicator for organic pollution. The dataset likely contains BOD5 values measured in milligrams per liter, sourced from the EEA Waterbase database. It was last updated on 2026-01-19.
NASA EarthData hosts a global spatial model synthesizing 17 anthropogenic drivers of ecological change for 20 marine ecosystems. The dataset was produced by CEOS_EXTRA. Its last update status is unknown.
A literature review synthesizes over 70 peer-reviewed scientific studies on the impacts of marine seismic survey noise on fish and invertebrates. The report, updated in 2026 by Geoscience Australia with collaborators, critically analyzes recent data to inform Australian government policy and environmental management.
46 stations collected underwater video footage and still images during a 2009 marine survey aboard the R.V. Solander. The survey, a collaboration between Geoscience Australia and the Australian Institute of Marine Science, obtained geological and biological data to study the region's late-Quaternary evolution. File naming follows a station-gear-deployment convention, such as 48CAM35.
The Iris dataset is a gold standard benchmark in botany and machine learning. It is described as clean, structured, and ready-to-model, suggesting it has been processed for immediate use. The original data was likely collected by botanists, but the specific author, organization, and update date are unknown.
AnimalsDataset is a dataset hosted on the Kaggle platform. The title suggests it contains information related to animals, but specific details about its contents, size, and origin are unavailable. Further inspection after download is required to confirm the data's scope and structure.
Animalsdata is a dataset published on Kaggle. The title suggests it contains information related to animals. The author, organization, and specific data details are unknown.
FloraAidataset is a dataset hosted on Kaggle. Its title suggests it contains information related to plant species or flora. The dataset's specific content, size, and structure are not described in the available metadata.
PlantVillage preprocessed image data, described as a brain teaser for standard convolutional neural networks. The dataset is hosted on Kaggle and focuses on agricultural plant disease identification. Specific details on volume, origin, and update frequency are not provided in the available metadata.
Geoscience Australia compiled outlines for the maximum extent of geomorphic units within Australia's Exclusive Economic Zone, including offshore island territories. The data set includes unit names, source information, feature codes, province codes, area, and perimeter for each unit. It was updated in October 2006 and is intended as a surrogate for benthic habitats to support seabed bioregionalisation.
U.S. Geological Survey Gap Analysis Program species range data show a coarse representation of the total areal extent of a species or the geographic limits within which a species can be found. The data were compiled from GAP regional projects, NatureServe, and IUCN sources, then intersected with hydrological units and attributed with information on occurrence, origin, reproductive use, and seasonal use. The data are provided by the U.S. Geological Survey Gap Analysis Program in collaboration with multiple regional gap analysis projects.
U.S. Geological Survey Gap Analysis Program species distribution models represent the spatial arrangement of environments suitable for occupation by a species. The models are 30-meter raster data, generated using a Python script that selects variables from a wildlife habitat relationship database based on literature. Data were compiled from multiple regional GAP projects and other sources, with models delimited by GAP species ranges.