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Cell biology, microbiology, ecology, biodiversity, species data, evolutionary biology
27,499 datasets
Historic bird records extracted from the archives of the Northamptonshire Natural History Society under the National Biodiversity Network Data Capture Initiative 2014-15. The collection includes site-specific sightings, county-wide reports, and records from annual reports spanning 1961-1968. Records are provided by the Northamptonshire Biodiversity Records Centre and include both accepted and 'not accepted' observations.
The Black Country area, including Wolverhampton, Walsall, Sandwell, and Dudley, is covered by this green infrastructure analysis. The data identifies green infrastructure categories and their beneficial functions, mapping areas of need and 'pinch points' under development stress. It was produced by Natural England in a two-stage process using Ordnance Survey data as a base layer.
State Fisheries Victoria datasets contain aggregated summaries of commercial logbook data on catch and effort distribution in state marine and estuarine waters. The data was submitted to the Victorian Fisheries Authority and is aggregated by fishery and reporting block for areas with five or more boats, with data from fewer boats shown as confidential. Summaries are mapped using multi-year financial periods from 2003/04 to 2022/23.
Occurrence data for 1593 small terrestrial mammals trapped in forested areas of Eastern France between 2020 and 2022. The dataset includes 15 species across nine rodent and six shrew families, with measurements for weight, body length, and tail length. It was collected by researchers from the Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement as part of the European Biodiversa BioRodDis project.
2530 occurrence records for 11 amphibian species across West Siberia, Russia, compiled by Evgeniy Simonov of the University of Tyumen. The database integrates original field surveys, scientific literature, museum collections, personal reports, and iNaturalist observations. Specimen data was sourced from the herpetological collections of ZMMU, TSU, and ISEA, as well as the 'Zoomonitor' database.
CREMP provides annual monitoring data on benthic cover and coral diversity from 109 stations at 37 sites in the Florida Keys National Marine Sanctuary and Dry Tortugas. The dataset, collected via underwater videography and species inventories from 1996 through 2008, tracks temporal changes in major taxa like stony corals, octocorals, sponges, and macroalgae. It supports analysis of long-term trends for specific coral species and reef health indicators.
53 raw gravity data files totalling 863 MB were collected aboard the RV Investigator during the COOKIES voyage from January 02 to February 25, 2026. The data were recorded using a MicroG Lacoste Air-Sea II gravity meter and are stored in .ENV and .DAT formats at CSIRO. No processing has been conducted on this dataset, and further details are contained in a separate GSM data acquisition and processing report.
Cisplatin-loaded PLGA implants achieved a mean drug content of 37.7% ± 0.5% (w/w) and demonstrated sustained drug release. The study, authored by Li Gao of Ningbo University, evaluated antitumor efficacy and systemic toxicity reduction via continuous intratumoral chemotherapy in mice. Results showed the implants effectively inhibited tumor growth and reduced dose-related side effects compared to intravenous injection.
Two bathymetry grids at 4-meter spatial resolution for Middleton Reef and Elizabeth Reef within the Lord Howe Marine Park. Geoscience Australia collected the data from January 31 to February 6, 2020, aboard the TV Bluefin as part of a collaborative National Environmental Science Program project. The data provides baseline information for benthic habitats to support a 10-year environmental monitoring plan (2018-2028).
Images from 2012 to 2015 of fauna, flora, fungi, and scenery captured ad-hoc at the Alice Mulga SuperSite in Australia. The site was established in 2010 and includes research plots in Mulga woodland, hummock grassland, and river red gum forest. The dataset is provided by the Terrestrial Ecosystem Research Network's Data Discovery platform.
Geoscience Australia and the Australian Institute of Marine Science collected backscatter data for the Arafura Marine Park from November 2-15, 2020 aboard the RV Solander. The dataset consists of two 32-bit geotiff files of backscatter mosaics for the Money Shoal and Pillar Bank areas, processed using the CMST-GA MB Process toolbox. This work builds baseline benthic habitat information to support a 10-year environmental monitoring plan for the North Marine Park Network.
A study applying random forest, generalized linear models, and hybrid geostatistical methods to predict sponge species richness (SSR). The research addressed variable and model selection issues, mapping non-linear relationships and generating spatial distributions of SSR. The dataset is associated with a 2017 publication in Environmental Modelling & Software and is hosted by the Australian Ocean Data Network.
Martin Sullivan from the University of Leeds provides input data and R code to fit and assess height-diameter models for tropical forests. The dataset supports a study on field methods for sampling tree height, using a pan-tropical dataset of 73 plots where at least 150 trees had ground-based height measurements. The research found that locally-derived allometries with just 20 measured trees could often predict height with lower error than regional models.
The Australian Ocean Data Network provides an analysis of benthic communities from underwater video footage collected during the 2007/2008 CEAMARC voyage. The data describes physical and biological characteristics across the George V Shelf, linking community structure to processes like iceberg scouring and water mass upwelling. The shelf communities largely represent recolonization over the past 8-12 thousand years following the last glacial retreat.
A 2013 synthesis report by the Water Science Branch of the Department of Water includes polygon data showing seagrass habitat areas derived from aerial imagery. The data was collected as baseline information on seagrass composition and distribution in key estuaries of southern and south-western Western Australia. Surveys were conducted by the WA Department of Water together with Geoscience Australia.
An integrated analysis of biological and geoscientific data from the Vestfold Hills nearshore marine environment in East Antarctica. The dataset includes high-resolution bathymetry and backscatter maps from a 48 km² multibeam echosounder survey and epibenthic community observations from towed underwater video. The research, provided by the Australian Ocean Data Network, compares top-down and bottom-up approaches for habitat mapping.
Sydney Harbour sediment samples were collected and analyzed in August 2003 by Geoscience Australia and the Defence Science and Technology Organisation. The data documents the physical character and distribution of sediments to ground-truth multibeam sonar surveys and study benthic habitat classification. This work was part of the Coastal CRC's Coastal Water Habitat Mapping Project.
Autonomous Underwater Vehicle (AUV) data integrates image capture and high-resolution geophysical tools to map seabed composition in coastal and shelf waters of SE Tasmania. The study was presented at the OCEANS'10 IEEE Sydney Conference in May 2010 and the data is hosted by the Australian Ocean Data Network. The AUV surveyed diverse marine habitats, from kelp-dominated rocky reefs to deep mid-shelf sediments, to improve understanding of benthic habitat distribution.
A conceptual surrogacy framework evaluates the habitat potential for pelagic, epibenthic, and benthic infauna in all known submarine canyons along the Australian continental margin. The methodology, described by Zhi Huang et al. in Progress in Oceanography (2018), uses geomorphic and oceanographic heterogeneity to derive broad estimates of habitat condition. The dataset is hosted by the Australian Ocean Data Network and was last updated in June 2026.
A case study from northern Australia demonstrates a methodology for defining uncertainties in marine habitat mapping. The study calculates uncertainties from extrapolating bio-physical associations, interpolating physical data, and applying cluster analysis. The data is provided by the Australian Ocean Data Network and was last updated on 2026-06-27.