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Cell biology, microbiology, ecology, biodiversity, species data, evolutionary biology
24,486 datasets
NASA/NOAA Suomi NPP VIIRS Vegetation Indices (VNP13C2) Version 2 provides monthly, global vegetation health metrics at a 0.05-degree resolution. The dataset includes three primary indices—Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), and EVI2—alongside supporting reflectance bands and quality assurance layers. It is designed to continue the long-term Earth Observation System (EOS) mission, succeeding MODIS vegetation products.
NASA/NOAA Suomi NPP satellite data provides monthly global vegetation indices at 1-kilometer resolution. The dataset includes three primary indices—Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), and Enhanced Vegetation Index-2 (EVI2)—alongside reflectance bands for red, blue, green, near-infrared, and shortwave infrared, plus quality and angular layers. It is designed to continue the long-term Earth Observation System mission, succeeding MODIS products.
TGB Osborn (Koonamore) Vegetation Reserve rabbit warren data from surveys conducted between 1977 and 2014. The Terrestrial Ecosystem Research Network's Data Discovery platform hosts this version 2.1 release, which supersedes previous versions. Surveys used a 400x400 meter grid to identify warrens with at least four holes, followed by fumigation and filling.
Photographs taken approximately annually from 1926 until 2024 at set positions in the TGB Osborn Vegetation Reserve by University of Adelaide staff and students. The digital record includes observations from 1907 and photographs up to 2008, with annotations for plant species identification, counts, and occasional measurements of canopy diameter, height, and mortality status. This is version 2.1 of the data release, updated in 2026.
24 bee bread samples from hives in Papua New Guinea were analyzed for fatty acid methyl ester (FAME) concentration and diversity using GCMS and DNA metabarcoding. The data shows fatty acids consisted of 43% saturated and 57% unsaturated lipids, with specific acid concentrations varying between forest and non-forest landscapes. This dataset was authored by Chris Cannizzaro and last updated on April 20, 2026.
5.8 MB of proteomic data from larval zebrafish using Bioorthogonal Noncanonical Amino Acid Tagging (BONCAT) to identify proteins synthesized within defined time windows. The dataset, created by Sophie E. Miller and last updated in April 2026, includes results from labeling durations as short as 12 hours and a proof-of-concept investigation of proteomic changes in response to heat shock. Analysis revealed upregulated heat shock proteins and differentially expressed proteins involved in stress responses, lipid metabolism, and neural regulation.
Sophie E. Miller's dataset, last updated April 14, 2026, provides proteomic analysis from larval zebrafish. It uses Bioorthogonal Noncanonical Amino Acid Tagging (BONCAT) to identify proteins synthesized within defined time windows as short as 12 hours. The data was generated as a proof of concept to investigate molecular responses to heat shock.
A 6.2 MB dataset from figshare, last updated April 14, 2026, by author Sophie E. Miller. It contains mass spectrometry results from a time-resolved proteomic analysis in larval zebrafish using Bioorthogonal Noncanonical Amino Acid Tagging (BONCAT). The data was generated to investigate protein synthesis changes, particularly in response to a heat shock stimulus, with labeling durations as short as 12 hours.
A proteomic dataset from larval zebrafish using Bioorthogonal Noncanonical Amino Acid Tagging (BONCAT) to identify proteins synthesized within defined time windows. The data, published by Sophie E. Miller in 2026, includes results from labeling durations as short as 12 hours and a proof-of-concept investigation of proteomic changes in response to heat shock. It contains mass spectrometry-identified proteins, with comparisons to unlabeled controls and whole lysates.
Sophie E. Miller's dataset, last updated April 14, 2026, provides proteomic analysis from larval zebrafish. It uses Bioorthogonal Noncanonical Amino Acid Tagging (BONCAT) to identify proteins synthesized within defined time windows as short as 12 hours. The data was generated as a proof of concept to investigate molecular responses to heat shock.
3amthoughts provides a unified dataset of Formula 1 race results spanning from the 1999 season through the 2025 season. The dataset includes predictive data for the first six rounds of the 2026 season, ending at the Monaco Grand Prix. It captures the evolution of technical regulations across 28 seasons.
3.3 MB of data combines FABIOv2 with spatially-explicit characterization factors from GLAM. Valentin Specht created this dataset for a 2026 Nature Communications Sustainability publication. It likely contains data on the biodiversity impacts linked to institutional food procurement.
27 GH3 genes identified in the early-diverging flowering plant Nymphaea colorata, with comparative evolutionary analysis across 22 plant species. The dataset was created by Ziyu Li and last updated on 2026-04-23. It includes results from phylogenetic classification, promoter analysis, and expression profiling.
Abdul Majid Khan's research dataset, last updated in April 2026, contains transcriptomic and imaging data from a study of lipid droplet regeneration in early mouse embryos. The data supports findings on the role of the ChREBP transcription factor as a metabolic sensor. The dataset is a 522.5 KB PDF file available under a CC-BY-4.0 license on figshare.
27 GH3 genes were identified in the early-diverging flowering plant Nymphaea colorata. The dataset includes results from phylogenetic classification, promoter analysis, expression profiling, and comparative evolutionary analysis across 22 plant species. It was authored by Ziyu Li and last updated on 2026-04-23.
Table 1_ChREBPα: a central metabolic sensor driving lipid droplet renewal in preimplantation mouse embryos.xlsx contains data from a study on lipid droplet regeneration in early mouse embryos. The dataset, authored by Abdul Majid Khan and shared under a CC-BY-4.0 license, was last updated on 2026-04-23. It includes results from experiments involving mechanical delipidation, RNA sequencing, immunofluorescence microscopy, and functional inhibition studies.
A meta-analysis of 308 studies with 3007 observations quantifies the effects of microbial inoculants on soil phosphorus availability and plant performance. The dataset, created by Hui Nie and last updated in April 2026, compiles global research on soil available phosphorus, phosphatase activity, and total phosphorus. It identifies environmental and management factors governing these responses.
Supplementary material from a 2026 study on cardamonin and Parkinson's disease includes figures and tables detailing gene expression data processing, target identification, and enrichment analyses. The dataset, authored by Yezi Xia and shared under a CC-BY-4.0 license, contains 11.2 MB of files in ZIP format. It includes visualizations like UMAP plots and Venn diagrams, alongside tables with functional enrichment results and drug-likeness predictions.
31.8 KB of gapped sequences from bird species analyzed for a specific project. The data was authored by Chloe Han and last updated on June 4, 2026. It is shared under a CC-BY-4.0 license.
Microbiome Datahub provides a targeted comparison of twenty original and re-assembled Metagenome-Assembled Genomes (MAGs) from the same BioProjects and BioSamples. The dataset, authored by Hiroshi Mori and last updated in April 2026, reports metrics like average nucleotide identity, completeness, contamination, genome size, and contig number. It is a small, 14.7 KB Excel file summarizing results from three databases: Microbiome Datahub, MGnify, and SPIRE.