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Cell biology, microbiology, ecology, biodiversity, species data, evolutionary biology
22,887 datasets
A 2026 project from the NESP Marine Biodiversity Hub assessed the capacity of active habitat restoration to conserve Matters of National Environmental Significance. The project, managed by the Australian Ocean Data Network, reviewed restoration techniques for giant kelp forests, seagrass, saltmarsh, and shellfish communities. Planned outputs include a review report and a workshop report on cost-effectiveness, with no raw data generated.
14 fleshy-fruited plant species were assessed for their thalassochoric dispersal potential by measuring their floating and viability period in saltwater. Thalassochoric connectivity between 44 Caribbean islands was determined by analyzing the paths of 1198 drifter buoys that passed through the region between 1991 and 2019. The dataset, created by Seokmin Kim and last updated in May 2026, serves as a crucial first step in understanding the role of sea currents in plant distribution.
2017 and 2024 annual bamboo forest distribution maps for China at a 10-meter spatial resolution. The dataset was generated by Bin Song using a random forest algorithm on a unified feature set with spatio-temporal sample migration. It covers 18 main bamboo-growing provinces in China and achieved an overall accuracy of 95.12 ± 2.15%.
73 end-users and experts were consulted to identify knowledge gaps in mapping five key Australian coastal wetland habitats: seagrass, saltmarsh, intertidal macroalgae, shorebird habitat, and blue carbon. The project produced a report with 25 recommendations to guide future mapping and data integration for a national wetland inventory. This scoping study was conducted by Griffith University for the NESP Marine and Coastal Hub in 2021-2022.
Over 200 benchmark monitoring stations measure vertical sediment accretion and elevation change in Australian coastal wetlands. The dataset, collated by Macquarie University and the University of Queensland, integrates Surface Elevation Table-Marker Horizon (SET-MH) data from mangroves, saltmarshes, seagrasses, and tidal freshwater forests. This information supports assessment of wetland resilience to sea-level rise.
A 2026 study by Maximilian Kastinger quantifies fish guidance structure performance at hydropower plants. It includes hydraulic measurements and ethohydraulic tests with brown trout and common barbel, assessing bypass entrance efficiency under different gate configurations. The dataset contains video files and documents totaling 237.6 MB.
A global database quantifies CO2 fluxes and pathways in forest ecosystems, from photosynthesis to net ecosystem production. It contains carbon budget variables, ecosystem traits, and ancillary information for 529 sites across eight forest biomes. The dataset was assembled by NASA, with data originating from peer-reviewed literature and researcher communications, and includes a structured Access database with SQL scripts.
500-meter resolution data from the NOAA-20 VIIRS sensor provides 11 Science Dataset layers for assessing Bidirectional Reflectance Distribution Function and Albedo quality. The product is generated daily using a 16-day rolling window of observations, weighted to the ninth day, and employs the RossThick/Li-Sparse-Reciprocal kernel-driven model to correct surface reflectance anisotropy. It is designed to ensure continuity with NASA's MODIS BRDF/Albedo product suite for monitoring land surface radiative properties.
Global daily data at 1-kilometer resolution provides quality metrics for Bidirectional Reflectance Distribution Function (BRDF) and albedo derived from the NOAA-20 VIIRS Day/Night Band. The product is generated daily using a 16-day rolling window of observations, weighted to the ninth day, to ensure continuity with NASA's MODIS BRDF/Albedo suite. It contains seven Science Dataset layers, including band quality, days of valid observation, and classification flags for land/water and snow.
WF_ABBA algorithm results from GOES satellite imagery provide active fire detections across South America from 2000 to 2005. The data includes latitude, longitude, brightness temperature, sub-pixel fire size and temperature estimates, ecosystem type, and a fire probability flag for each detection at 30-minute intervals. Both algorithm versions 5.9 and 6.0 are included, with version 6.0 incorporating a temporal filter to reduce false alarms.
New South Wales on-ground management sites for threatened species and ecological communities, maintained by the Saving our Species program. Sites are classified as priority or contributing and are updated on an ongoing basis, with sensitive locations denatured to Local Government Area extent. The dataset is published by the NSW Department of Climate Change, Energy, the Environment and Water under a CC-BY-4.0 license.
Jessica V. Fay's dataset documents the evolution of knockdown resistance (kdr) mutations V1016I and F1534C in the dengue vector Aedes aegypti. The data, generated via TaqMan genotyping, compares samples from Posadas, Argentina, collected in 2019 and 2024. It shows a significant increase in kdr allele frequency, with 93% of 2024 samples carrying at least two resistance alleles.
44 Trichoderma fungal strains isolated from sediments of three major white-water Amazonian rivers (Juruá, Madeira, and Purus). The dataset includes molecular barcoding, phylogenetic analyses, morphological studies, biocontrol assays, and comparative genomics, leading to the description of five new species and new records for Brazil. The data was authored by Thiago Fernandes Sousa and last updated on May 20, 2026.
A 226.5 MB dataset compiled from biodiversity occurrence records with textual field notes and spatial information. It was created by Mahsa Hadikhah Mozhdehi for the paper "Habitat Inference from Biodiversity Field Notes" and last updated in June 2026. The main text column, `aggregated_text`, contains aggregated habitat descriptions for each spatial grid cell.
MCD15A2H Version 6.1 is a NASA MODIS Level 4 product providing combined Leaf Area Index (LAI) and Fraction of Photosynthetically Active Radiation (FPAR) measurements globally. The dataset is an 8-day composite with a 500-meter pixel size, derived from the best available observations from both the Terra and Aqua satellites. It serves as a key resource for monitoring vegetation canopy structure and photosynthetic activity.
Ecophysiological measurements from laboratory experiments comparing warm-tolerant and average giant kelp genotypes, collected by the NESP Marine and Coastal Hub between 2021 and 2022. The project explored physiological mechanisms of thermal performance in Australia's threatened giant kelp. Outputs include a dataset of ecophysiological measurements and a final project report with policy recommendations.
A dataset of 5.5 KB presents in-vitro data tracking drug-sensitive and drug-resistant non-small cell lung cancer cells under varying environmental conditions. The data, originally from Kaznatcheev et al., includes conditions with and without the drug Alectinib and cancer-associated fibroblasts. Hasti Garjani published the dataset on figshare in June 2026.
Zambia's Kataba Forest was the site for vegetation measurements taken during the SAFARI 2000 Wet Season Campaign in early 2000. The dataset records tree and shrub species composition, canopy cover percentage, and basal area from 60 sampling points along six transects near a MODIS validation tower. It was collected by NASA to characterize the tree canopy layer for satellite validation and ecological study.
An inventory of data collated to quantify the ecosystem services and economic value of Australia's Great Southern Reef, an 8,000 km temperate reef system. The project synthesized existing data on market and non-market services like fishing, tourism, and carbon sequestration for shallow reefs (0–50 m). The work was conducted by UNSW and IMAS for the NESP Marine and Coastal Hub and aligns with national environmental-economic accounting standards.
Ke Sun's dataset supports research on using small reservoirs for Chinese alligator habitat recovery. It includes a high-resolution land cover map from UAV orthophotos, GPS tracking points from four reintroduced alligators, and habitat suitability scores from an optimized Random Forest model. The data was last updated on 2026-05-24.