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Cell biology, microbiology, ecology, biodiversity, species data, evolutionary biology
27,538 datasets
131,369 individual organisms were recorded across 322 benthic samples collected from the Brazilian continental shelf and slope. The REVIZEE Program's South Score/Benthos sub-program conducted this survey to assess biodiversity and sustainable resource potential from December 1997 to April 1998. Data includes 28 higher taxa, with Bryozoa being the most abundant group at 30,501 records.
64 high-quality line drawings illustrate the 33 species of Pterygote insects and spiders recorded on Macquarie Island. The drawings were created by artist Karina McInnes under supervision at the University of Queensland's Department of Entomology, using specimens from the Australian National Insect Collection. The project was completed for a 1995 publication summarizing the island's invertebrate fauna.
Aggregating measurements of plant material decomposition in soil using Green and Rooibos tea bags buried for 80-90 days. The study was conducted across seven Terrestrial Ecosystem Research Network monitoring sites in Australia between 2016 and 2017.
U.S. EPA's Full Scale Plume Study collected data on atmospheric pollutant dispersion from the Tracy Power Plant near Reno, Nevada in August 1984. The study comprises 14 experiments over 128 hours, resulting in a tracer concentration database of over 11,000 hourly samples. It was conducted by the EPA's Complex Terrain Model Development Program.
Regurgitated pellets and food remains from South Polar Skuas reveal their diet is 66% snow petrel by item count, with 12% consisting of station refuse. The data was collected near nest sites and a club site in East Antarctica during the birds' presence. The Australian Antarctic Data Centre published this record from a 1991 study.
Between December 1976 and February 1981, 246 feral cats were collected on Macquarie Island. The dataset contains biological and ecological observations, including sex ratios, coat color, breeding season, litter size, habitat use, and population estimates. It was produced by the Australian Antarctic Data Centre (AU_AADC) and published in February 1981.
Seven permanent forest plots established in 1998 provide detailed vegetation structure and composition data for the Baltimore Ecosystem Study. Plots range from 900 to 1600 square meters and were subdivided into grids for sampling trees, saplings, shrubs, vines, and seedlings. This dataset was collected by the Baltimore Ecosystem Study (BES) as part of the NSF Long-Term Ecological Research Network.
Featuring litterfall data collected from a dry sclerophyll forest at the Samford Peri-Urban Site in South East Queensland. It includes measurements of plant litter weight, leaf carbon content, and leaf nitrogen content over a three-year period from 2011 to 2013.
91 vegetation classes were mapped across the 84,574-acre Applegate area, and 78 classes across the 66,402-acre Eagle Lake area in California. The map was produced using heads-up digitizing on NAIP imagery between 2017 and 2021, with accuracy ratings between 72.4% and 92.2%. It was created by the State of California following FGDC and NVCS protocols.
210 synthetic tool-use examples for training AI models to interact with the EcoPort Model Context Protocol server. The dataset covers the complete API surface area for connecting AI assistants to Roblox Studio and Roblox Open Cloud. It was created by author dylanjkl and last updated on April 15, 2026.
Original data from a study on the effects of warming on leaf senescence in alpine plants. The dataset is published on figshare by Yaya Chen under a CC-BY-4.0 license and was last updated on April 11, 2026. The data is stored in an XLSX file with a size of 43.6 KB.
London Borough of Barnet's statutory report details its organizational consideration of biodiversity from 2022 to 2025. The document outlines achievements in policy, planning, and land management, and sets aims for the next reporting period from 2026 to 2031. This report fulfills a legal duty under the UK's Environment Act 2021.
Tactical patterns and determinants of team success in men's Olympic basketball are analyzed over a twenty-year period from 2004 to 2024. The dataset was created by TUGAY DURMUS and shared via figshare in April 2026. It contains data for an integrated multi-model analysis of team performance.
A dataset titled 'Animals Data' authored by adhithyasash1 and hosted on Hugging Face. The dataset was last updated on 2026-06-03. Its specific content, scale, and collection methodology are not detailed in the available metadata.
ACT Government data on wildlife incidents handled by park rangers. The dataset is provided in multiple formats including RDF, JSON, CSV, and XML. It was last updated in March 2026 by the ACT Government Open Data team.
23 valley and 68 zone spatial definitions from the Sustainable Rivers Audit 2 report map the Murray-Darling Basin. The Murray-Darling Basin Authority created these layers for a river health assessment based on fish, macroinvertebrates, vegetation, physical form, and hydrology observations.
Beijing, Shanghai, and Shenzhen are the geographic focus of this dataset. It contains data on complexity and technical evolution, likely tracking metrics related to urban or technological development. The dataset was sourced from Kaggle, but specific details about its creation and update frequency are unknown.
A dataset and code supporting the paper “What drives animal responses to high-severity fire? The role of functional traits” by Grace A. Vielleux, Trent D. Penman, Victoria A. Reynolds, and Matthew H. Swan. The associated research was last updated on April 21, 2026. It likely contains data on animal species and their measured traits in relation to fire events.
Indoor Plant Care and Characteristics Dataset describes care, growth, benefits, and traits for 50 popular indoor plants. The dataset was sourced from Kaggle, but the author, organization, and last update date are unknown.
A dataset titled 'Ai wildlife' is hosted on Kaggle. Its content likely pertains to wildlife imagery or data processed with artificial intelligence techniques. Metadata is minimal; actual content requires verification after download.