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Cell biology, microbiology, ecology, biodiversity, species data, evolutionary biology
27,610 datasets
Oregon State University collected this lichen monitoring data for the National Park Service during the summer of 2012. The field work was conducted in Gates of the Arctic National Park and Preserve, following a specific terrestrial vegetation monitoring protocol for Arctic Alaska. The data is associated with CESU agreement # H8W07060001.
1983 onwards, this dataset tracks the evolution of the Nisab of Zakat in Algeria. The Nisab is the minimum wealth threshold for Zakat eligibility, a key concept in Islamic finance. The data is sourced from Kaggle, but the specific author and collection method are unknown.
March 2026 data provides mailing addresses and contact details for primary offices of Fisheries and Oceans Canada. The dataset includes geospatial coordinates and tabular contact information, available in ESRI REST and CSV formats. It is published bilingually in English and French by the department.
Geospatial data from the Government of Québec details local and regional wildlife protection office locations. Available formats include SHP, GEOJSON, HTML, and CSV. The dataset was last updated in March 2026.
Fisheries and Oceans Canada provides biological data for all fish caught during the 2012 Beaufort Sea Marine Fishes Project expedition. The dataset includes identification, weight, multiple length measurements, liver weight, gonad weight, sex, and maturity level.
A vegetation map tile for California's Great Valley Ecoregion, compiled from four distinct source datasets including the 2024 Suisun Marsh update. The compilation uses an erase tool to resolve overlaps, ensuring the most recent data is displayed. Vegetation is attributed to the Group, Alliance, or Macrogroup level of the state and national vegetation hierarchy.
California's FRAP program maintains a historical GIS dataset of wildland fire perimeters across public and private lands, updated annually with data from the previous fire season. The collection includes fires back to 1878, with current collection criteria based on acreage and impact thresholds. This dataset represents the most complete digital record of fire perimeters in the state, though it is known to be incomplete.
1878 onward, this dataset contains historical wildland fire perimeter GIS data maintained annually by the California Department of Forestry and Fire Protection. It represents the most complete digital record of fire perimeters in California, compiled with cooperation from multiple federal and state agencies. The data is updated each spring with perimeters from the previous fire season.
A master dataset focused on diseases affecting ornamental plants, published on Kaggle. The specific number of images, types of plants, and disease classes are not detailed in the available metadata. The dataset's creator, organization, and last update date are unknown.
Transcriptomic, metabolomic, and HPLC-MS data investigating the pathogenic fungus Fusarium oxysporum under stress induced by different concentrations of p-HBA. The dataset was created by Jing Zhao and published under a CC-BY-4.0 license on figshare, with a last update recorded as 2026-05-01.
India's Area of Habitat (AOH) maps for 2,187 terrestrial vertebrate species, including mammals, birds, reptiles, and amphibians. The maps were generated at 100-meter spatial resolution by processing IUCN and BirdLife International range data, removing unsuitable habitats, and applying elevation constraints. Species richness layers were derived by stacking the individual AOH maps.
ACT Government Open Data provides locations and attributes of fenced dog parks managed by Transport Canberra and City Services. The dataset includes features such as Suburb, Location, and Creation date, established through a community reference group process. It is maintained via the Works as Executed process and field audits.
Data analysis methods for house fly microbiome data. The data were collected from two genotypes (YM and IIIM) raised at two temperatures (18C and 29C) in the laboratory. Samples were also collected from Bastrop and Washington Counties in Texas, authored by Richard Meisel and last updated in April 2026.
11 stations of underwater video footage and 12-megapixel still images were collected in the Petrel Sub-basin during May 2012. The survey was a collaboration between the Australian Institute of Marine Science and Geoscience Australia under the National Low Emission Coal Initiative. Its purpose was to acquire biophysical data in shallow seabed environments to investigate CO2 storage potential.
Micro-SaaS & AI Startup Ecosystem (2025–2026) is a dataset from Kaggle containing information on over 1,200 products. It likely contains details on revenue metrics and technology stacks. The author, organization, and specific collection methodology are unknown.
Vegetation change products identify transitions in perennial woody cover between forest, sparse woody, and non-woody classes. The dataset, produced by Landgate, covers the annual period from 2012 to 2013 using 30-meter resolution Landsat imagery.
Vegetation change products identify annual shifts in perennial woody cover between forest, sparse woody, and non-woody classifications. The dataset covers the period from 1998 to 2000, derived from Landsat imagery at 30-meter resolution. It is produced by Landgate for the Land Monitor program.
From August 27, 1973 to November 7, 1974, water physics and chemistry data were collected via moored current meters and bottle casts in the Coastal Waters of New Jersey. The Atlantic Oceanographic and Meteorological Laboratory submitted the data as part of the Marine EcoSystems Analysis - New York Bight project, and it was processed by NODC into the standard F004 format.
The 1992 Wintering Field Season at Heard Island dataset originates from an expedition report by the Australian Antarctic Division. The expedition was planned to deploy and retrieve time-depth recorders on animals and conduct dietary studies of fish predators throughout the winter. The report details the genesis and planning process from 1989 to 1990.
Temperature and salinity data collected from STD/CTD casts by NOAA Ship DISCOVERER and other platforms in the Coastal Waters of California from February 15, 1938 to March 27, 1985. The data were submitted by the National Marine Fisheries Service - LA JOLLA as part of the California Cooperative Fisheries Investigation (CALCOFI) project and processed to the NODC High-Resolution STD/CTD Data (F022) format. The F022 format likely contains high-resolution profiles of temperature, salinity, density, and possibly dissolved oxygen or transmissivity at specified depth intervals.