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Cell biology, microbiology, ecology, biodiversity, species data, evolutionary biology
25,101 datasets
Jewel Cave National Monument Spatial Vegetation Data documents vegetation cover using the National Vegetation Classification System. The National Park Service and U.S. Geological Survey created this baseline GIS database in the 1990s. Mapping is based on 1:16,000 scale aerial photography from August 1993.
833 acres of prairie, hill, and riverine environments at Fort Laramie National Historic Site were mapped for vegetation cover in July 1995. The National Park Service and U.S. Geological Survey created this baseline dataset using stereoscopic aerial photo interpretation supported by field sampling. This data documents upland woodland, prairie grassland, riverine woodland, and wetland vegetation types according to the 1995 National Vegetation Classification System.
Spatial vegetation data documents cover types within Agate Fossil Beds National Monument using the 1995 National Vegetation Classification System. The National Park Service and U.S. Geological Survey created this baseline map through stereoscopic interpretation of July 1995 aerial photography, supported by field sampling. It captures prairie grassland, riverine woodland, and wetland vegetation units across the monument's 4.5 square miles.
763 time-steps record percent abundances of 109 diatom taxa from a sediment core in Foy Lake, Montana, sampled approximately every 5–20 years. The dataset spans 7000 years and is associated with research on communicating Earth's tipping points. It was published by the U.S. Environmental Protection Agency in 2026.
A dataset titled 'Animals' was published on HuggingFace by author Rumo15. The dataset's specific content and scale are unknown from the provided metadata. It was last updated on June 3, 2026.
Plant leaf images likely intended for agricultural disease detection and computer vision research. The dataset is hosted on Kaggle, but its specific size, collection method, and origin are not detailed in the provided metadata. The title suggests it contains resources for analyzing plant health.
Yuan Wu's dataset on figshare tracks average technical efficiency for citrus planting across regions from 2012 to 2024. The 25.7 KB XLSX file was last updated on April 9, 2026. It is shared under a CC-BY-4.0 license.
Birds DS is a dataset hosted on Kaggle, likely containing images of birds. The dataset's specific scale, collection method, and authorship details are not provided in the available metadata. Its content and structure require verification after download.
NABirds-Cache-64 is a dataset hosted on Kaggle. Its title suggests it likely contains images related to North American bird species. The dataset's specific size, origin, and update history are not provided in the available metadata.
A dataset of bird images, likely for computer vision tasks. It is hosted on the Kaggle platform. The specific collection date, size, and creator are not provided in the available metadata.
PyPI's entire package registry and dependency graph ecosystem is condensed into a single Parquet file. The dataset likely contains daily profiles and analytics for Python packages. Its source is the Python Package Index, but specific details on collection method and time range are not provided.
Alberta's list of ecological communities considered rare or of conservation concern. The dataset is maintained by the Alberta Conservation Information Management System (ACIMS) and was last updated on March 18, 2026. It likely contains listings of tracked communities and their element occurrences.
Over 26,000 vegetation and soil plots described in the province of Alberta are stored in the ECOSYS (Ecological Information System) database. The Government of Alberta maintains this provincial database to support sustainable land management. The data was last updated on March 18, 2026.
Geoscience Australia compiled 14 scientific reports on seabed environments and biodiversity from 2008 to 2010. The collection includes environmental summaries for Australian marine basins, biodiversity surrogate reviews, and post-survey reports for specific regions. These documents were published by the Marine and Coastal Environment Group and aggregated on data.gov.au.
A 2012 pilot study evaluated a fishery-independent sampling method for nearshore groundfish, focusing on rockfish species. Fish catch was processed by cruise, set, and trap, with species identification, fork length measurement, and sex recorded. The study was conducted by the National Oceanic and Atmospheric Administration, with otoliths retained for age and growth studies.
NOAA's Pacific Islands Fisheries Science Center collected stomach contents from longnose lancetfish across the North Pacific over an 11-year period. Prey item identifications and specifications were recorded from dissected stomachs by laboratory employees. These data support the ongoing Lancetfish diet study within the Pelagic Research Program.
A captive broodstock program for the endangered Snake River sockeye salmon from Redfish Lake, Idaho. Data is collected by brood year on survival percentages to key life stages and age of maturity by sex. The dataset is provided by the National Oceanic and Atmospheric Administration, Department of Commerce.
White muscle tissue stable isotope signatures from sixgill and sevengill sharks in the Northeast Pacific. The data were used with mixing models to determine diet probabilities and predict predatory impact on prey groups across space and time. The dataset originates from the National Oceanic and Atmospheric Administration.
OBPRELIM is a preliminary database from the National Oceanic and Atmospheric Administration's Northeast Fisheries Observer Program. It contains trip, haul, and discard data entered from paper logs collected on commercial fishing vessels, with built-in audit checks for data quality. The data is used for in-season quota monitoring and tracking slippage events in herring and longfin squid fisheries.
Geoscience Australia Data presents seafloor mapping for vulnerable ecosystems in the Vestfold Hills coastal region. The dataset supports studies on regime shifts from invertebrate to macroalgae communities driven by sea ice changes. It integrates high-resolution multibeam data and bathymetry from multispectral satellite imagery.