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Cell biology, microbiology, ecology, biodiversity, species data, evolutionary biology
24,745 datasets
An updated habitat map for the Markham's Triangle recommended Marine Conservation Zone (rMCZ) based on an integrated analysis of the dedicated 2012 survey (CEND8/12a). The map was created via unsupervised classification and expert interpretation by the Joint Nature Conservation Committee. The dataset was last updated on the platform on 2026-04-14.
North East of Farnes Deep recommended Marine Conservation Zone (rMCZ) habitat map, updated through integrated analysis of acoustic data and a 2012 ground truth survey. The dataset was produced by the Joint Nature Conservation Committee and was last updated on the platform in April 2026. It classifies habitats using the EUNIS level 3 system.
Predicted distribution maps for Annex I Reef habitat in the Pisces Reef Complex area. The maps were created using geophysical acoustic data and groundtruthing from photos and video collected during the 2004 S/V Kommander Jack Irish Sea survey, Legs 2 and 3. The dataset is provided by the Joint Nature Conservation Committee and was last updated on the platform in April 2026.
MetaWRAP-based binning and refinement integrated three binning tools (MetaBAT2, MaxBin2, and CONCOCT). The resulting dataset contains 11,662 Metagenome-Assembled Genomes (MAGs) from the gut microbiota of wild birds, authored by Jin-Wen Su and last updated on April 18, 2026.
Yingqiang Lou published a dataset on figshare in April 2026, describing patterns of seasonal flock formations. The dataset is 12.2 KB in size and is available as an XLSX file under a CC-BY-4.0 license. It likely contains data on flock composition, animal personality, and exploratory behavior for the chestnut thrush species.
State-wide vegetation cover datasets classify perennial woody vegetation annually from 1988 onward using Landsat imagery at 30-meter resolution. Landgate produces this data, which separates vegetation into two structural classes: forest meeting 20% cover density and 2m height, and sparse woody vegetation with 5-20% cover.
Western Australia's state-wide vegetation cover dataset classifies perennial woody vegetation from annual Landsat imagery at 30-meter resolution. Landgate produces this data, which includes two structural classes for forest and sparse woody vegetation, with records starting in 1988.
Western Australia's state-wide vegetation cover dataset classifies perennial woody vegetation from annual Landsat imagery at 30-meter resolution. Produced by Landgate, the data provides two structural classes for forest and sparse woody vegetation, with a continuous annual series from 1988 to the present.
Total animal-related complaints received by Brisbane City Council each quarter. The data includes details on the nature, type, and suburb of each complaint, with a reporting level for processing information. It is maintained by Brisbane City Council and was last updated in March 2026.
U.S. Navy aircraft systematically surveyed the Arctic Ocean for over three years, recording marine mammal sightings in a standardized census format. The F127 format data likely contains detailed species counts, age group breakdowns, and precise geospatial and temporal coordinates for each observation. This dataset provides a historical snapshot of whale population densities, distributions, and activities during a specific period.
State-wide vegetation cover datasets classify perennial woody vegetation annually from 1988 onward. The data is derived from Landsat imagery with a 30-meter ground pixel resolution and distinguishes between forest and sparse woody vegetation categories. It is produced by Landgate, the Western Australian land information authority.
State-wide vegetation cover datasets classify perennial woody vegetation annually from 1988 onward using 30-meter resolution Landsat imagery. Landgate produces this data, which distinguishes forest areas with 20% cover density and 2m height from sparse woody vegetation with 5-20% cover.
State-wide vegetation cover datasets are produced annually from Landsat imagery starting in 1988. The data classifies perennial woody vegetation into two categories based on cover density and height at maturity.
Landgate produces state-wide vegetation cover datasets based on 30-meter Landsat imagery. The data classifies perennial woody vegetation into forest and sparse woody categories, with annual coverage from 1988 to present.
Over 60 years of oceanographic station data, from October 4, 1903 to December 19, 1963, were collected worldwide using bottle casts and CTD instruments from ships like the PARRAMATTA. The data, submitted by the Australia Navy and processed by the NODC, primarily contain temperature and salinity measurements, but columns suggest reports of dissolved oxygen, phosphate, silicate, nitrate, and pH. It also includes mechanical bathythermograph (MBT) data useful for studying the thermal structure of the ocean's upper 285 meters.
NERRS Science Collaborative data assesses mangrove recovery and resilience following repeated hurricane disturbances at Jobos Bay and Rookery Bay National Estuarine Research Reserves. The project generated habitat and mangrove change maps through 2024 and collected water depth and porewater salinity data in areas of minimal recovery. This work builds on a prior collaborative foundation to provide baselines for continued monitoring and management planning.
Fossil data from the Stairway Sandstone formation provides evidence for early arandaspid fish and enables high-resolution international biozonation correlation. The dataset includes an abundant and well-preserved micro-vertebrate and conodont fauna from a field sample. It was contributed by the Australian Ocean Data Network and last updated in April 2026.
Australian Ocean Data Network provides a report on fossil assemblages from the Middle Ordovician Stairway Sandstone formation in the Amadeus Basin. The document details an abundant and well-preserved fauna, including early arandaspid fish and conodont fossils. This dataset was last updated in April 2026.
2.6 MB of data supporting a study on trait divergence in mixed-species bird flocks. The dataset, authored by Vicente Garcia-Navas and last updated in April 2026, is available under a CC-BY-4.0 license. It likely contains measurements of traits and flock characteristics to analyze the influence of phylogenetic structure versus flock size.
A review examines the utility of abiotic surrogates for describing marine benthic biodiversity across spatial scales. It was published by the Australian Ocean Data Network and last updated in April 2026. The work analyzes how abiotic variables relate to biodiversity processes and their measurement for resource management.