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Cell biology, microbiology, ecology, biodiversity, species data, evolutionary biology
23,229 datasets
A dataset from a randomized controlled trial evaluating the impact of Bifidobacterium infantis strain Bi-26 supplementation on growth and health outcomes in underweight infants. The trial involved 40 infants aged 30–120 days with a weight-for-age Z score below -2, receiving daily oral Bi-26 or placebo for 28 days with follow-up to day 90. Data includes fecal B. infantis levels, microbiome composition, metabolome, cytokine profiles, adverse events, and growth measurements.
Alison A. Murray published a study on figshare in April 2026. The dataset likely contains results from an analysis of 44 ultramarathon athletes racing in hot or cold conditions. It examines how birth weight, alongside factors like sex, age, and hydration, predicts changes in serum creatinine, a marker of kidney damage, after prolonged endurance exercise.
Loess Plateau of China soil water content data from a thinning experiment in Chinese pine plantations. The dataset likely contains measurements of soil water content at depths up to 200 cm, vegetation structure, rainfall redistribution, and soil properties. It was created by Qindi Zhang and last updated on April 29, 2026.
23.1 KB document contains results from a multi-omics study of drought responses in three rice genotypes. Jinwei Qi authored the research, which combined metagenomic and metabolomic analyses of rhizosphere soil samples collected under well-watered and drought conditions. The data was last updated on April 29, 2026.
87.7 KB of data from figshare supports research on peatland carbon dynamics. The dataset includes results from laboratory incubations and a 36-year drainage gradient study in northeast China, alongside a global meta-analysis of 41 studies. It was authored by Pan He and last updated in May 2026.
Geoscience Australia, AIMS, and the Northern Territory Government collaborated on a four-year habitat mapping program in Darwin and Bynoe Harbour. The resulting report characterizes marine abiotic patterns and physical environments. This second of three reports was funded by the INPEX-operated Ichthys LNG Project offset funds and co-investments.
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.
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 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.
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.
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.
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.
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.
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.
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.
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.