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Cell biology, microbiology, ecology, biodiversity, species data, evolutionary biology
27,652 datasets
Spatial data from the Water Corporation representing settlement ponds for treated wastewater. The dataset provides infrastructure locations for sewer treatment plants, last updated in March 2026 by the Spatial Reporting team.
Parks Canada provides an annual composite measure of invasive species presence in Prince Edward Island National Park forest ecosystems. The dataset includes two annual field measurements: the percentage of forest ecosystem with invasive species present (measured across 244, 441 m2 quadrats) and the percentage of total forest area in hectares with invasive species present. It tracks four invasive plants and one insect.
Parks Canada staff collect exuviae from dragonflies and damselflies in four shallow water ponds twice per year during peak emergence periods. The objective is to acquire baseline data on species diversity and relative abundance within park wetlands. Taxonomic diversity and abundance are compared against historical levels to assess ecological integrity.
2026-03-24 updated asset registry for water treatment plant management by Water Corporation's Asset Registration team. The dataset provides geospatial and descriptive information for plant assets, available in multiple formats including WFS, WMS, GEOJSON, and SHP.
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.