Loading...
Loading...
Cell biology, microbiology, ecology, biodiversity, species data, evolutionary biology
24,549 datasets
5.5 KB of data on the number of branches per plant, organized by the interaction of species, location, and sowing date. The dataset was authored by Mohamed M. Hassona and last updated on May 14, 2026. It is available under a CC-BY-4.0 license.
Plant height data in centimeters, structured by the interaction of species, location, and sowing date. The dataset is a 5.5 KB XLS file authored by Mohamed M. Hassona and last updated on May 14, 2026. Its small size suggests a focused experimental design.
Hua Song's Expert-defined technical taxonomy provides a classification framework for technology-related industries. The dataset is a 126.2 KB ZIP file last updated on May 14, 2026, and is licensed under CC-BY-4.0. Its description indicates it covers nearly all technology-related industries, spanning traditional sectors and emerging domains.
Reinhard E Matadamas provides a 35.3 MB dataset supporting the manuscript 'Evolutionary time drives the inverse latitudinal diversity gradient of New World Sparrows (Aves: Passerellidae)'. The dataset includes components necessary to reproduce the analyses, such as phylogenetic trees and species distribution data, and was last updated on 2026-05-04. It is shared under a CC-BY-4.0 license on figshare.
An integrated dataset maps benthic habitats in a 48 km² nearshore area of the Vestfold Hills, East Antarctica. High-resolution bathymetry and backscatter maps were produced from multibeam echosounder surveys, complemented by epibenthic community data from towed underwater video. The research, aggregated by the Australian Ocean Data Network, compares top-down and bottom-up habitat mapping approaches.
Ecosystem Demography Model estimates for potential above-ground net primary production, live biomass, and soil carbon in the Brazilian Amazon at 1-degree resolution. The model was forced with ISLSCP I climate data from 1987 and 1988, averaged to represent a single year, and includes effects of natural disturbances like windthrow and fire. Data is provided by ORNL_CLOUD in ASCII and NetCDF formats.
Leaf photosynthesis and stomatal conductance measurements for the most abundant C4 species in the FIFE study area. Data were collected on 6 days during June, July, and August of 1987 at three locations, capturing responses to light, temperature, vapor pressure deficit, carbon dioxide, and water potential. The dataset is associated with ORNL_CLOUD and appears on multiple government data platforms.
Maps provide vegetation, landscape, geobotanical, elevation, hydrology, and geologic data for Alaska's Kuparuk River Basin. The collection covers the entire basin from the Brooks Range to the Beaufort Sea coast, as well as the Upper Kuparuk River Region including Toolik Lake. Data was produced from imagery and existing maps spanning over three decades.
7 conservation opportunity areas (COAs) were identified for Connecticut's 2025 State Wildlife Action Plan. The State of Connecticut created this dataset by integrating ecological and social data using Zonation spatial prioritization software. It was last updated in April 2026.
7 conservation opportunity areas (COAs) are identified for Connecticut's 2025 State Wildlife Action Plan. The State of Connecticut created this dataset by combining ecological and social data in Zonation spatial prioritization software. It was last updated in April 2026.
7 conservation opportunity areas (COAs) identify priority locations for wildlife habitat actions in Connecticut. The State of Connecticut created this plan using ecological and social data processed with Zonation spatial prioritization software. The dataset was last updated in April 2026.
7 conservation opportunity areas (COAs) identify priority locations for wildlife habitat actions in Connecticut. The State of Connecticut created this plan using ecological and social data analyzed with Zonation spatial prioritization software. The dataset was last updated in April 2026.
Connecticut's 2025 State Wildlife Action Plan identifies 7 conservation opportunity areas (COAs) for targeted wildlife and habitat actions. The dataset was created by the State of Connecticut using ecological and social data processed through Zonation spatial prioritization software. It was last updated in April 2026.
Connecticut's 2025 State Wildlife Action Plan identifies 7 conservation opportunity areas (COAs) for partner actions. The State of Connecticut created this data by combining ecological and social data in Zonation spatial prioritization software. The dataset was last updated in April 2026.
Conservation opportunity areas (COAs) identify priority locations for wildlife habitat actions in Connecticut. The dataset defines 7 COAs representing actions like protect, connect, restore, and manage. It was created by the State of Connecticut using spatial prioritization software and updated in April 2026.
From March 21, 1921 to December 29, 1962, this dataset contains oceanographic station and bathythermograph data collected worldwide from ships like the CAPITAN CANEPA. It includes discrete depth measurements of temperature, salinity, and other chemical parameters from bottle and CTD casts, processed into standard NODC formats. The data also contain interpolated values for standard depths and auxiliary meteorological observations.
The Joseph Bonaparte Gulf in northern Australia is the focus of this study, which uses still imagery of the sea floor collected during two seabed mapping surveys in 2009 and 2010. The analysis characterizes benthic communities and correlates key sponge and octocoral species with abiotic variables like pheophytin, Si/Al ratio, and mud content. This dataset provides baseline information for marine monitoring and environmental impact assessments in a region proposed for protection.
2024-2033 plan outlines management for conservation reserves, state forest, and other lands in southwestern Western Australia. The boundary layer covers a total area exceeding 2.5 million hectares. It was developed by the Department of Biodiversity, Conservation and Attractions and authored by Clarissa Swarts.
East Antarctic palynoflora from the upper Flagstone Bench Formation in the Prince Charles Mountains contains well-preserved Late Triassic (Norian age) microfossils. The assemblage, assigned to the Minutosaccus crenulatus Zone, includes taxa common in Tethyan Laurasian regions and represents the Onslow Microflora. This dataset, hosted by the Australian Ocean Data Network, provides the first record of a Triassic dinocyst from Antarctica.
A 2026 presentation from the Australian Ocean Data Network details a multi-component study on the potential impacts of low-frequency sound from marine seismic surveys on marine fauna. The project includes sound modelling, monitoring, benthic community assessment, bivalve dredging, fish behavior tagging, and fisheries catch analysis. It was developed in response to stakeholder concerns about an April seismic survey in the Gippsland Basin.