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Cell biology, microbiology, ecology, biodiversity, species data, evolutionary biology
24,486 datasets
Monthly surveys from June to October 2024, with exploratory observations from 2023, provide a multi-habitat assessment of toxic microalgae in Panama's Pacific and Caribbean waters. Author Kathia Broce identified 234 taxa across three coastal systems, linking them to multiple shellfish poisoning syndromes. The dataset integrates taxonomic profiling with in situ environmental characterization to establish an ecological baseline.
Over 1,200 branch samples from 35 tree and shrub species provide standardized measurements of leaf traits, forest structure, and soil chemistry. The data was collected by the TERRA-PNW research group from over 200 forest plots, including AmeriFlux sites, across Oregon and Northern California. Measurements span six projects conducted between 1999 and 2014.
MODIS-derived Annual Vegetation Resilience, 2000-2019 provides estimates of vegetation recovery rates across the Arctic Boreal Vulnerability Experiment (ABoVE) core domain. The dataset spans 20 years and covers 175 grid tiles at a 300-meter spatial resolution. It was produced by ORNL_CLOUD using a Bayesian dynamic linear model on Terra MODIS EVI time series.
16S ribosomal RNA gene sequences from environmental samples across polymetallic nodule fields in the Pacific Ocean, including the Clarion-Clipperton Fracture Zone and the DISCOL Experimental Area. The dataset, authored by Batuhan Cagri Yapan and last updated in April 2026, compares bacterial communities among sediments, nodules, and bottom waters. Patterns of benthic bacterial diversity and connectivity extend across spatial scales from tens to thousands of kilometers.
A 2026 dataset by Batuhan Cagri Yapan on figshare contains 16S rRNA gene sequences from environmental samples across polymetallic nodule fields in the Pacific Ocean. It compares bacterial communities among sediments, nodules, and bottom waters, including samples from the DISCOL Experimental Area in the Peru basin. The data supports research on baseline microbial diversity for assessing deep-sea mining environmental risks.
FK150301 bathymetry data was acquired by the University of Western Australia from the Research Vessel Falkor between March 1 and 12, 2015 using Kongsberg EM302 and EM710 sensors. The mission aimed to support ROV surveys to assess marine animal abundance and identify sites for focused research, expecting species like corals, sponges, and sharks. This dataset is published with permission from Geoscience Australia and requires acknowledgment of the original scientists and the Marine Geoscience Data System.
A biological data acquisition program collected 261 voucher specimens of benthic marine life during a transit between Darwin and Cairns from 15-24 October 2012. The survey, conducted by the R.V. Southern Surveyor, used an ROV and benthic sled to focus on sessile invertebrates like sponges and octocorals for biodiversity and biodiscovery research. Specimens were collected from two mapped areas, including a bank and a terrace/hole feature within the proposed Wessel Islands CMR.
A clinical study dataset investigates the feasibility and acceptability of remote cochlear implant programming in real-life listening environments. Twelve post-lingually deafened CI users participated in four sessions, including baseline and remote fitting visits. The dataset was authored by Charlotte V. R. Snoeck and last updated in April 2026.
Data Sheet 3 from a study by Charlotte V. R. Snoeck investigates the feasibility and acceptability of remote cochlear implant fitting in real-life environments. The dataset likely contains results from 12 post-lingually deafened CI users across four sessions, including COSI and custom survey responses. It was uploaded to figshare on 2026-04-23 under a CC-BY-4.0 license.
Twelve post-lingually deafened cochlear implant users participated in a study investigating remote fitting in real-life settings. The dataset, authored by Charlotte V. R. Snoeck and last updated in April 2026, includes results from four sessions per participant, assessing feasibility, acceptability, and perceived benefits. The study used a Client Oriented Scale of Improvement (COSI) and a custom post-study survey.
Twelve post-lingually deafened cochlear implant users participated in a study evaluating remote fitting in real-life environments. The dataset likely contains results from a Client Oriented Scale of Improvement (COSI) and a custom post-study survey assessing usability, technical stability, and satisfaction. Charlotte V. R. Snoeck published the study on figshare under a CC-BY-4.0 license, with a last update in April 2026.
Joseph Bonaparte Gulf in northern Australia and Icelandic waters from the BIOICE program provide data for comparing marine biodiversity patterns across different sampling gear. The dataset likely contains measures of species richness, diversity indices, abundance, and community structure in relation to environmental variables like depth, geomorphology, and substrate. It was published by the Australian Ocean Data Network and last updated on 2026-04-10.
September and October 2014 data characterize shrubland vegetation at two study areas in southern Idaho: the Reynolds Creek Experimental Watershed and Hollister. Measurements include plot-level shrub density, species cover, and average LAI, as well as individual shrub biometrics and leaf sample analysis for carbon, nitrogen, and SLA. The dataset appears across multiple platforms, indicating its established use in ecological research.
BLM ID SW Montana Greater Sage Grouse FEIS Sagebrush Focal Areas 2015 ROD is a geospatial dataset delineating the most valuable habitat for the Greater Sage Grouse. It was created by the Bureau of Land Management National Operations Center in 2015 and further refined by the Idaho State BLM Office. The dataset is a subset of 'Highly Important Landscapes' identified by the US Fish and Wildlife Service in 2014.
This dataset delineates Sagebrush Focal Areas (SFAs), a refined subset of the most critical Greater Sage Grouse habitat identified by the US Fish and Wildlife Service in 2014. It was created by the Bureau of Land Management's Idaho State Office in 2015 as a further refinement of national data to support the Idaho and Southwestern Montana Greater Sage Grouse Environmental Impact Statement. The SFAs are managed as Priority Habitat Management Areas and include some non-habitat parcels on BLM and USFS lands.
BLM ID SW Montana Greater Sage Grouse FEIS Sagebrush Focal Areas 2015 ROD is a geospatial dataset delineating the most valuable habitat for the Greater Sage Grouse. It was created by the Bureau of Land Management National Operations Center in 2015 and further refined by the Idaho State BLM Office. The dataset is a subset of 'Highly Important Landscapes' identified by the US Fish and Wildlife Service in 2014.
Akshay S. Kulkarni published a dataset on figshare in 2026 describing a hybrid strategy for tuning protein arginine methyltransferase (PRMT) inhibitor selectivity. The data likely contains results from transforming a selective PRMT7 inhibitor (SGC8158, IC50 <2.5 nM) into a selective PRMT4 inhibitor (AK442, IC50 = 2.6 nM) using linker length and T-shape modifications. The dataset is small, with a file size of 757.0 B.
Reserve boundaries delineate National Parks, Nature Reserves, Historic Sites, and other protected areas under the National Parks and Wildlife Act, 1974. Spatial Services, a business unit of the NSW Department of Customer Service, maintains this dataset from government gazettes and environmental agency sources. The dataset was initially published in May 2020.
Thirty vegetation quadrats from the TGB Osborn (Koonamore) Vegetation Reserve provide data on species abundance, selected species measurements, and individual plant locations. The data is presented in three separate files and represents version 2.1 of a release managed by the Terrestrial Ecosystem Research Network (TERN). The metadata was last updated on 2026-04-13.
NOAA-20 VIIRS Vegetation Indices (VJ113A2) Version 2 provides three key vegetation metrics—NDVI, EVI, and EVI2—derived from a best-pixel composite over a 16-day period at 1-kilometer resolution. The dataset includes supplementary layers for reflectance in multiple spectral bands, composite timing, pixel reliability, and viewing geometry. It is designed to continue the long-term Earth Observation System mission, succeeding similar MODIS products.