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Cell biology, microbiology, ecology, biodiversity, species data, evolutionary biology
27,527 datasets
NOAA Coral Reef Ecosystem Program data assesses cryptic reef diversity using standardized Autonomous Reef Monitoring Structures deployed across the Hawaiian Archipelago. The method involves PVC plate stacks mimicking reef complexity to collect colonizing marine invertebrates over consistent surface areas. This monitoring is part of the ongoing National Coral Reef Monitoring Program.
23 cm x 23 cm PVC plates stacked in alternating layers mimic reef complexity to systematically sample colonizing marine invertebrates. The data originates from the NOAA Coral Reef Ecosystem Program's National Coral Reef Monitoring Program in American Samoa. Developed with the Census of Marine Life, the method ensures consistent sampling over precisely the same surface area.
Monterey Bay Aquarium Research Institute (MBARI) archives over 16,000 hours of remotely operated vehicle (ROV) dive video recorded since 1988. The Video Annotation and Reference System (VARS) contains over three million observations linked to a knowledge base of 4,000 biological concepts. This visual time series documents biological, chemical, geological, and physical aspects of deep-sea environments.
Historical and planned cruise data from the Ross Sea, Antarctica, spanning at least three decades prior to 2002, with five planned field seasons starting in 2001-2002. The dataset, compiled by SCIOPS, focuses on interannual and seasonal variations in oceanographic variables like nutrient concentrations and phytoplankton biomass. It aims to establish a climatology for comparison against new observations.
A raster dataset classifies global land cover into ecosystem complexes. It was produced by the World Data Center-A for Solid Earth Geophysics in collaboration with NOAA/NGDC and the U.S. Environmental Protection Agency. The data was published in 1989.
A multimodel suite for the Greater Everglades simulates the effects of hydrological scenarios on biotic populations and vegetation succession. The ATLSS program, coordinated by USGS and university researchers, integrates linked models for physical processes and species response across the landscape. It supports the Comprehensive Everglades Restoration Plan (CERP) by providing quantitative projections for restoration planning.
APAD provides information on steel plants, their locations, capacities, and emissions within the Indian Gangetic Plain. The dataset is hosted on AWS Open Data and is licensed under ODC-BY-1.0. The last update date is unknown.
Information on paper and pulp plants, including their locations, capacities, and emissions, focused on the Indian Gangetic Plain. The dataset is provided by APAD on the aws_open_data platform under an ODC-BY-1.0 license. The last update date and specific temporal coverage are unknown.
APAD provides a dataset of cement plants located around the Indian Gangetic Plain. The description indicates it includes detailed information on plant locations, capacities, and emissions. The dataset is hosted on AWS Open Data and is licensed under ODC-BY-1.0.
Names of sea features and fishing grounds around Scotland. The dataset is designed for use with Ordnance Survey's ZoomStack and Marine Scotland Maps and originates from the Government Digital Service.
SWAMP Data Dashboard provides five curated resources from the Surface Water Ambient Monitoring Program for California's surface waters. The dataset includes station information, water quality results, toxicity summaries, habitat scores, and tissue contaminant statistics. Data is sourced from the California Environmental Data Exchange Network and is provisional.
Green Infrastructure in Cheshire East is a dataset from the Government Digital Service via the eu_open_data platform. It contains Ordnance Survey MasterMap features categorized into green infrastructure typologies and includes an assessment of each feature's functionality. The dataset's size, row count, and last update date are unknown.
A collection of the linear trend of seasonal persistent green vegetation cover, derived from Landsat data using a Queensland government algorithm. The analysis covers the period from 1987 to 2014 for Queensland and Northern Territory, Australia. The trend values represent the slope of a fitted line, originally in percentage points per year.
The Gippsland Basin offshore Australia is the geographic focus of this dataset. It contains reports on waterflood susceptibility tests performed on core samples from the Kingfish and Mackerel oil fields. The data was published by Geoscience Australia and last updated in April 2026.
Comprising continuous audio files collected by four acoustic recorders deployed in 2020 at the Tumbarumba Wet Eucalypt site. The recorders were placed in both wet and dry habitats within a 1-hectare plot dominated by Alpine Ash and Mountain Gum trees. The site was established in 2000 by CSIRO, with measurements beginning in 2001.
New York/New Jersey Metro Area, Hudson River, and South Long Island regions feature vector data depicting shipping lanes, access sites, anchorages, boat ramps, diving sites, ferries, lock and dam sites, marinas, and ports. This Environmental Sensitivity Index (ESI) dataset characterizes human-use resources for sensitivity to oil spills, produced by the National Oceanic and Atmospheric Administration (NOAA). The data was last updated on the platform in March 2026.
The Environmental Sensitivity Index (ESI) data characterize the marine and coastal environments of Lake Erie by their sensitivity to spilled oil. The dataset, developed by NOAA, contains vector lines and polygons representing shorelines and intertidal habitats for the U.S. portion of Lake Erie, covering coastal Ohio, Pennsylvania, and New York. Classification considers factors like wave exposure, shoreline slope, substrate type, and biological productivity.
Southwest Florida shoreline and coastal habitats are represented by vector polygons classified by the Environmental Sensitivity Index (ESI) system. This data characterizes marine and coastal environments by their sensitivity to spilled oil and is part of a larger ESI database for the region. The dataset was published by the National Oceanic and Atmospheric Administration and was last updated in March 2026.
A national geospatial dataset of shoreline and coastal habitat lines for the contiguous United States and Great Lakes states. Line segments are classified according to the Environmental Sensitivity Index (ESI) system, which characterizes sensitivity to oil spills. The data is a compilation from the most recent ESI atlas publications produced by the National Oceanic and Atmospheric Administration.
National Oceanic and Atmospheric Administration (NOAA) data characterizes South Carolina's coastal human-use resources for oil spill sensitivity. The dataset contains vector polygons, points, and lines depicting socioeconomic features and infrastructure like renewable energy sites, airports, historical sites, and rail routes. It is part of the 2015 Environmental Sensitivity Index (ESI) data for the state.