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Cell biology, microbiology, ecology, biodiversity, species data, evolutionary biology
24,512 datasets
A dataset from Sewanee: The University of the South describes a novel symbiotic bacterial lineage related to Neisseria and Snodgrassella discovered in sucking lice. The data was generated by combining metagenomics and amplicon screening across populations of two louse genera, Polyplax and Hoplopleura. It reveals a complex history of symbiont acquisition, loss, and replacement during louse evolution.
Trapping Concessions - 250k from the Government of Yukon details 360 Registered Trapping Concessions (RTCs) and 13 Group Trapping Concessions defining exclusive trapping areas. The data was digitized using the 1:250,000 National Topographic Data Base and covers nearly all Yukon territory except Kluane National Park and related protected areas.
Mule Deer - Wildlife Key Area - 250k is a spatial dataset from the Government of Yukon's Wildlife Key Area Inventory Program. It contains polygon features identifying locations where mule deer perform critical seasonal life functions, derived from local interviews and GIS interpretation of wildlife surveys. Updates are performed periodically, with the most recent update in March 2026.
Robin‐Tobias Jauss from Leipzig University conducted a study on protistan diversity in forest ecosystems. High-throughput sequencing of Cercozoa and Oomycota was performed across ecological compartments from soil to canopy using group-specific primers. The research tested the ecological pattern of species richness increasing with habitat diversity within microbial eukaryotes.
The Western English Channel Groundfish Survey (FSS: CARHELMAR) was conducted annually from 1984 to 2013 by Cefas staff on chartered commercial vessels. It aimed to provide fisheries-independent abundance indices for sole and plaice, sampling 58 trawl stations in English waters. Catches of commercial fish and shellfish were identified and measured, with biological sampling of sole and plaice for age, weight, and maturity.
Yukon Wildlife Key Areas are GIS polygons identifying locations where elk perform critical seasonal life functions. The dataset is derived from local interviews and wildlife survey interpretation, with updates managed by the Yukon government's WKA Inventory Program. Boundaries are periodically revised based on new observational data.
Wildlife Key Areas are locations used by wildlife for critical seasonal life functions, identified through observed locations at key times of year. The dataset contains polygon data for muskox habitats, derived from local interviews and GIS interpretation of wildlife surveys. Updates occur periodically, with the latest information maintained by the Yukon WKA Inventory Program.
Environmental DNA metabarcoding data from sediment and water samples collected at 11 locations along the Jequitinhonha River catchment in Brazil. The dataset includes 252 Molecular Operational Taxonomic Units (MOTUs) corresponding to 34 fish species, sampled twice over a five-week period around a major rain event. It was created by Naiara Guimarães Sales of the University of Salford to evaluate eDNA for biomonitoring.
A research dataset from National Cheng Kung University investigates carbon allocation in the mycoheterotrophic orchid Gastrodia elata. It likely contains gene expression data for sucrose transporter genes GeSUT4 and GeSUT3 across different tuber stages, derived from yeast complementation and radio tracer experiments. The dataset is published as Open Access via paperswithcode.
Wildlife Key Areas are locations used by wildlife for critical seasonal functions, identified from observed locations and local interviews. Polygons are derived from GIS interpretation following criteria specific to taxa or populations. Updates occur periodically, with the most current information available from Regional Biologists.
84 different species were caught during a 1992 North Sea fisheries survey. Approximately 70 core trawl stations were completed annually to provide distribution and stock composition estimates. The survey was undertaken by Cefas using research vessels and GOV trawls, collecting station, catch, length, and biological data.
A theoretical paper by Bruce G. Charlton of Newcastle University argues for an evolutionary basis of the Empathizing and Systemizing personality traits. The paper presents a hypothesis linking the historical emergence of agriculture and economic specialization to the selection for higher Systemizing, particularly in men. It makes several testable predictions based on this evolutionary framework.
Yukon Wildlife Key Areas are GIS polygons identifying locations critical for moose seasonal life functions. The dataset is derived from local interviews and wildlife survey interpretation, with updates managed by the Yukon WKA Inventory Program. Boundaries are periodically revised based on new observations.
250,000 Wildlife Key Area (WKA) polygons identify locations used by wildlife for critical seasonal functions. The Government of Yukon created this dataset by interpreting observed wildlife locations and local interviews, with updates occurring periodically.
Biophysical plot data from the Yukon Biophysical Information System (YBIS) contains site, soil, and vegetation information collected by multiple agencies. The repository supports vegetation inventory and habitat assessment with records spanning from 1975 to 2018.
Shorebird - Wildlife Key Area - 250k is a spatial dataset from the Government of Yukon's WKA Inventory Program. It contains polygon boundaries for locations critical to shorebirds during seasonal life functions, derived from local interviews and GIS interpretation of wildlife surveys. Updates occur periodically, with the last update recorded in March 2026.
2026-03-25 updated polygons identify locations critical for Wood Bison seasonal life functions. Data is derived from local interviews and GIS interpretation of wildlife surveys, distributed by the Government of Yukon.
Yukon Wildlife Key Areas are GIS polygons identifying locations critical for gull seasonal life functions. The data is derived from local interviews and wildlife survey interpretation, with updates managed by the Yukon WKA Inventory Program.
Wildlife Key Areas (WKA) are locations used by wildlife for critical seasonal functions. Polygons are derived from interviews with locals and GIS interpretation of wildlife surveys, with updates occurring only periodically. The dataset is maintained by the Government of Yukon's WKA Inventory Program.
250,000 Wildlife Key Areas (WKAs) for beaver and muskrat identify locations used for critical seasonal life functions. The Government of Yukon maintains this polygon data, derived from local interviews and GIS interpretation of wildlife surveys, with the most recent update in March 2026.