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Cell biology, microbiology, ecology, biodiversity, species data, evolutionary biology
23,415 datasets
Zeyu Wang's dataset supports a manuscript on fitness-driven virulence evolution in Bacillus via group selection. The data likely contains results from ~200 generations of alternating serial passage in vivo and in vitro, measuring virulence, toxin production, replication, sporulation, and within-host fitness. The dataset was last updated on 2026-05-07.
North American occurrence and climate data for the bee Macropis nuda and its host plants in the genus Lysimachia. The dataset contains 124 years of records from 1901 to 2024, sourced from GBIF and ClimateNA, and was created by William Liu. It is 908.7 MB in size and was last updated in May 2026.
May 1997 data from the Prototype Validation Experiment (PROVE) at the Jornada Experimental Range in New Mexico. The dataset contains directional reflected radiation measurements over specific canopy components like shrubs, individual plants, and bare sand. It was collected by NASA to characterize land surface reflectance properties.
Bass Strait marine biological and sediment data collected by Museum Victoria between 1979 and 1983, supplemented by later Geoscience Australia surveys. The dataset includes biological material from diverse taxonomic groups, sediment samples, swath mapping, and underwater video footage. Analysis indicates a highly diverse fauna with small-scale variation, influenced by factors like longitude and depth.
During the 1987 growing season, root biomass data were collected from 16 locations within the FIFE study area. The dataset provides a measure of below-ground biomass for the prairie ecosystem, with biomass reported in grams per square meter. Core samples were taken to a depth of 20 cm, a depth assumed to capture the vast majority of total root biomass for this vegetation type.
Lei Xie's 5.5 KB dataset from 2026 tests the Environmental Kuznets Curve (EKC) hypothesis using a modified vector autoregressive model. The experimental results indicate that the applied improvement strategy enhanced the convergence and solution set distribution of the differential evolutionary algorithm. Granger causality was identified among urbanization, economic growth, energy consumption, and environmental quality.
A dataset containing cumulative impulse response results from a vector autoregressive model analyzing the dynamic relationship between urbanization, economic growth, and energy consumption. The data was authored by Lei Xie and published on figshare under a CC-BY-4.0 license, with a last update in May 2026. The 5.5 KB XLS file likely contains numerical outputs from econometric analysis.
Lei Xie's dataset contains results from a vector autoregressive (VAR) model analysis investigating dynamic correlations between urban economic growth and energy consumption. The data, last updated on 2026-05-04, includes Granger causality test results among urbanization, economic growth, energy consumption, and environmental quality. The methodology integrated heteroskedasticity and differential evolution algorithms to enhance the model.
ARCH effect test results from a study integrating heteroskedasticity and differential evolution algorithms into a vector autoregressive model. The 5.5 KB Excel file, authored by Lei Xie and last updated in May 2026, explores the dynamic correlation between urban economic expansion and energy consumption. Granger causality was identified among urbanization, economic growth, energy consumption, and environmental quality.
5.5 KB of experimental results from a study integrating heteroskedasticity and differential evolution algorithms to bolster a vector autoregressive model. The data, authored by Lei Xie and last updated in May 2026, likely contains metrics from a dynamic correlation analysis between urban economic expansion, energy usage, and environmental quality. Granger causality was identified among these variables, with the impact on environmental quality fluctuating between 0.2 and 0.4.
Stability test results for a vector autoregressive model analyzing the dynamic interplay between urban economic expansion and energy usage. The dataset was created by Lei Xie and last updated on May 4, 2026. It is a small 5.5 KB Excel file.
5.5 KB of econometric test results in an XLS file, authored by Lei Xie and last updated on May 4, 2026. The dataset contains results from a study analyzing the dynamic correlation between urban economic expansion and energy consumption using a vector autoregressive model enhanced with differential evolution algorithms. It explores Granger causality among urbanization, economic growth, energy consumption, and environmental quality.
5.5 KB of experimental results from a study integrating differential evolution algorithms into a vector autoregressive model to analyze the dynamic correlation between urban economic expansion and energy usage. The dataset, authored by Lei Xie and shared under a CC-BY-4.0 license, contains estimated lag order results from an Augmented Dickey-Fuller test. Results indicate Granger causality among urbanization, economic growth, energy consumption, and environmental quality.
5.5 KB Excel file by Lei Xie, last updated in 2026, containing results from a dynamic correlation analysis between urban economic expansion and energy usage. The study integrates heteroskedasticity and differential evolution algorithms to bolster a vector autoregressive model, identifying Granger causality among urbanization, growth, consumption, and environmental quality. The methodology is described as accurately mirroring actual economic and energy conditions.
NASA's Simple Biosphere Model version 4.2 provides hourly 0.5-degree gridded outputs for the high-latitude Northern Hemisphere (53N to 90N). The dataset includes fluxes for gross primary productivity, respiration, and carbonyl sulfide uptake by vegetation and soil, segmented by plant functional type. Model outputs cover the years 2000 to 2020 and are stored in NetCDF4 format.
Stream flow daily measurements were collected from five gauging stations on tributaries to Kings Creek within the FIFE study area. The dataset includes records from four LTER stations from June 1985 to December 1987 and from a USGS station from April 1979 to September 1988. Measurements were derived using V-throated flumes and standpipes at LTER weirs and stilling pipes at the USGS station to calculate volumetric water flow.
ABCflux provides standardized monthly data on terrestrial net ecosystem CO2 exchange and its partitioned components, gross primary productivity and ecosystem respiration, across Arctic and boreal biomes. The database aggregates 6,309 monthly observations from 244 sites, spanning 1989 to 2020, with over 70 supporting variables describing site conditions, meteorology, and measurement techniques. It is a NASA-supported compilation designed for analyzing carbon dynamics in high-latitude ecosystems.
A 2019 map updated to reflect the 2018 Australia/Timor-Leste Maritime Boundaries Treaty, produced for the Australian Fisheries Management Authority. It is designed to assist enforcement of Australia's Maritime Boundaries and explain fishing zones to Indonesian fishermen in the Timor and Arafura Seas. The map was originally produced in Indonesian and this version is an English translation, published by the Australian Ocean Data Network.
Australia's near-pristine estuaries provide benchmark data for environmental science. The dataset likely contains findings from a project studying these systems for natural and cultural heritage values. It was published by the Australian Ocean Data Network and last updated on June 4, 2026.
Darwin Harbour in Australia's Northern Territory is the focus of seabed bathymetry compilations presented as video flythroughs. The data was acquired through a collaboration between the Northern Territory Government's Department of Land Resource Management, Geoscience Australia, the Australian Institute of Marine Science, and the Darwin Port Corporation. The program aims to produce thematic habitat maps to support marine resource management decisions in Darwin and Bynoe harbours.