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Cell biology, microbiology, ecology, biodiversity, species data, evolutionary biology
27,287 datasets
A package of geospatial data containing potential habitat and fragmentation layers for eight species groups in the urban Australian Capital Territory. The data includes connected habitat layers showing core and corridor habitat and remnant patches layers for fragmented areas, developed through ecological connectivity modeling using expert-elicited metrics. The dataset was created by the ACT Government's environment department and was last updated on 2026-06-27.
The Australian Capital Territory (ACT) urban area contains potential habitat and fragmentation data for eight species groups. The dataset includes connected habitat and remnant patch layers, outputs from ecological connectivity modeling based on expert-elicited metrics. It was created by the ACT Government's environment department and was last updated on 2026-06-27.
Eight species groups have their potential core, corridor, and remnant habitat patches modeled for the urban Australian Capital Territory. The data package includes connected habitat and fragmentation layers derived from expert-elicited metrics on dispersal distances and barrier crossings. Environment ACTGOV produced these outputs using a 1:10,000 scale model in the GDA2020 MGA zone 55 coordinate system.
A geospatial data package containing potential habitat and fragmentation layers for eight species groups in the urban Australian Capital Territory. The data includes connected habitat layers showing core and corridor habitat and remnant patches predicted to be fragmented, developed using ecological connectivity models based on expert elicitation. The dataset was created by the ACT Government's environment agency and was last updated on 2026-06-27.
A 2026-updated geospatial dataset from the ACT Government containing potential core and corridor habitat and fragmentation layers for eight species groups in the urban Australian Capital Territory. The data package includes connected habitat and remnant patch layers, outputs from ecological connectivity models based on expert-elicited metrics for species-specific requirements. Spatial resolution is 1:10,000 in the GDA2020 MGA zone 55 coordinate system.
NERP TE 3.4 and CSIRO produced this dataset containing the estimated distribution and abundance of cassowaries across 23 sub-regions of Australia's Wet Tropics. The data is based on field surveys along 157 transects conducted from 2012 to 2014, with density estimates derived from faecal-DNA analysis of dung samples. The dataset includes original and simplified shapefiles detailing cassowary essential habitat boundaries.
A 2017 laboratory experiment measured the effects of the herbicide hexazinone on the upside-down jellyfish Cassiopea maremetens over a 14-day exposure period. The dataset includes measurements of bell surface area, photosynthetic efficiency, zooxanthellae density, and statolith number. The bioassay was conducted by researchers from AIMS and James Cook University to assess environmental risks to the Great Barrier Reef.
853 survey sites and 34 individual meadows describe seagrass species, biomass, and diversity in the North-West Torres Strait. The dataset was created by the TropWATER Seagrass Group at James Cook University using visual estimation techniques from video transects, grabs, free divers, and helicopter surveys. Data collection occurred during two field campaigns in November 2015 and January 2016.
October 2015 surveys recorded percent cover of major benthic categories and density of fish functional groups on fringing coral reefs. The data summarises results from the Keppel Island group as part of a long-term monitoring project assessing no-take marine reserve zoning effects. The project, established in 1999 and expanded in 2004, uses underwater visual census to survey fish and benthic communities.
Keppel, Whitsunday, and Palm Island groups in the Great Barrier Reef Marine Park are covered by this dataset of site and zone means for benthic cover and fish density. It results from underwater visual census surveys conducted between 1999 and 2014 to assess the ecological effects of no-take marine reserve zoning. The project was established by the Australian Ocean Data Network and provides a baseline prior to the 2004 zoning plan.
5,238 Pacific crown-of-thorns starfish were sampled across 80 reefs in Australia's Great Barrier Reef Marine Park from 2012 to 2020. The dataset, managed by the Australian Ocean Data Network, examines variation in sub-lethal injury prevalence and severity among juvenile and adult starfish, as well as recruitment, growth, and survivorship. Data collection involved careful extraction and processing of starfish, with injury assessment based on arm damage and regeneration.
A geospatial benthic habitat map for the offshore reefs of the Great Barrier Reef Marine Park, produced at a 10-meter resolution. The map was generated by the University of Queensland's Remote Sensing Research Centre using a machine learning model trained on over 100,000 geolocated photos and environmental data layers like satellite imagery, depth, slope, and wave climate. This snapshot was taken in January 2023 for the Seamap Australia project.
Wetlands and bogs in the Australian Capital Territory are mapped at a 1:5,000 scale using the Australian National Aquatic Ecosystem (ANAE) classification framework. The dataset includes locations of Ramsar wetlands, sites from the Directory of Important Wetlands Australia, and areas protected under the Nature Conservation Act 2014. It was created by the ACT Government and last updated in July 2026.
ZooBase is a global dataset of marine zooplankton species occurrences compiled by Fabio Benedetti of ETH Zurich. It aggregates presence data for key zooplankton groups from sources including OBIS, GBIF, and specific research initiatives. The data was retrieved in April 2018 and underwent quality filtering for spatial coordinates, sampling date, depth, and species-level identification.
A global dataset of marine zooplankton species occurrences compiled from multiple sources. The data was assembled by researchers at ETH Zurich, integrating records from OBIS, GBIF, and specific scientific initiatives. Records were filtered for quality, requiring complete spatial coordinates, sampling dates after 1800, and species-level identification.
November 2021 survey data from 129 practitioners and researchers on marine and coastal ecosystem restoration in Australia. The aggregated summary data was collected by CSIRO's NESP MaC Project 1.6 to understand the current state and research needs for scaling up restoration and Nature-based Solutions. The survey was open from November 8th to November 29th, 2021.
The Broad Geology of Wet Tropics of Queensland - 2015 (WTMA) dataset combines high-resolution geology mapping from the Wet Tropics Bioregion with state-wide Regional Ecosystem data to provide continuous geological coverage. It was created by the Australian Ocean Data Network and resolves gaps in the original mapping by filling in cleared and regrowth areas. The dataset classifies geology into 12 landzone categories, including Saline Alluvium, Basalts, and Granites.
United Kingdom water bodies are classified for Overall Status under the Water Framework Directive. The classification combines Ecological and Chemical Status using a one-out-all-out methodology, resulting in categories of High, Good, Moderate, Poor, or Bad. The dataset is provided by the Environment Agency and was last updated on 2026-07-17.
GIMMS LAI4g is a half-monthly, global Leaf Area Index (LAI) dataset for the period 1982 to 2020. The product was generated by researchers from Peking University using a Back Propagation Neural Network and data consolidation method with high-quality Landsat samples. It aims to provide spatiotemporally consistent data for monitoring vegetation dynamics and Earth system modeling.
632,252 expert annotations for Antarctic seafloor imagery collected between 1985 and 2019, managed by the Australian Ocean Data Network. Annotations follow the CATAMI classification scheme and include point grids and bounding boxes for mobile fauna and Vulnerable Marine Ecosystem species. This data can support research into species distribution, community patterns, and training automated detection algorithms.