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Cell biology, microbiology, ecology, biodiversity, species data, evolutionary biology
23,871 datasets
An audio recording of Juma Athumani Mpendu and peers discussing fishing locations at a camp by a pond. The 27.4 MB WAV file, authored by Marie-Annick Moreau, was last updated on June 3, 2026. The recording captures explanations for choosing the fishing site based on the presence of a camp, fishers, and fish.
26.7 KB of audio and annotated text from an ethnographic interview with Juma Athumani Mpendu and his peers. The EAF file likely contains a discussion about selecting a fishing pond based on the presence of a camp, fishers, and fish. Marie-Annick Moreau contributed this resource under a CC-BY-NC-SA-4.0 license, last updated on June 3, 2026.
An interview transcript documenting the cutting and use of milala palm fronds by two elders, Mzee Kulenga and Mzee Ndile. The PDF file, 64.2 KB in size, was authored by Marie-Annick Moreau and includes a discussion on plant collection and a note on informant perceptions of the research project. It was last updated on June 3, 2026.
An ethnographic interview with Mzee Kulenga and Mzee Ndile discussing the collection and use of milala palm fronds. The 41.4 KB EAF file, authored by Marie-Annick Moreau, includes a moment where an informant warns against mentioning modern materials, revealing perceptions of the research project. The dataset was last updated on June 3, 2026.
Andrew M. Skidmore characterized the fecal microbiomes of 311 Peromyscus sonoriensis (western deer mice) collected from across New Mexico, USA. The dataset includes mice of all ages and sexes from multiple ecoregions, with microbiomes analyzed using Shannon entropy, Faith phylodiversity, and weighted UNIFRAC. This data serves as a reference for research on related species and enhances the use of P. sonoriensis as model laboratory animals.
311 fecal microbiome samples from Peromyscus sonoriensis (western deer mice) collected across New Mexico, USA. The dataset was created by Andrew M. Skidmore and published on figshare in 2026. It includes samples from mice of all ages and sexes across multiple ecoregions, characterized using Shannon entropy, Faith phylodiversity, and weighted UNIFRAC metrics.
Andrew M. Skidmore characterized the fecal microbiomes of 311 Peromyscus sonoriensis (western deer mice) collected from across New Mexico, USA. The dataset includes mice of all ages and sexes from multiple ecoregions, with microbiome diversity analyzed using Shannon entropy, Faith phylodiversity, and weighted UNIFRAC. It was last updated on 2026-04-24.
Five Microcystis bloom-prone lakes across North America, including Lake Erie and two hypereutrophic systems near New York City, were studied. The dataset likely contains microbial diversity and nitrogen uptake measurements for colony-associated and free-living plankton fractions, derived from high-throughput sequencing of 16S rRNA and 15N-labeled nutrients. It was authored by Ann Marie E. Famularo-Pecora and last updated on April 24, 2026.
Mahamadou Salifou Karimou Barké developed a spatially explicit DPSIR-GIS framework to assess climate resilience at Lake Guidimouni, a Ramsar wetland in Niger's Zinder Region. The analysis integrates remote sensing, spatial autocorrelation modeling, and NDVI-based carbon proxies to produce a fine-scale vulnerability map. It was last updated on April 24, 2026.
45 trait attributes for macroinvertebrates were analyzed over twelve months across four stations in Emu Stream, North-Central Nigeria. Yakubu Manbe Mohammed collected samples using standard methods to assess responses to environmental gradients. The study demonstrates trait responses to anthropogenic disturbances and seasonal variability in a tropical freshwater ecosystem.
Research from an unspecified location tested the impacts of deoxygenation on brooded larvae of Porites astreoides and broadcast-spawned larvae of Diploria labyrinthiformis. The dataset contains raw settlement and early survival data after 3 and 20 days, along with environmental parameters from constant ambient, mild, and severe deoxygenation treatments. It was authored by Jennifer Ha et al. and uploaded to figshare on 2026-05-08.
Ademola Aderolu's dataset and codes evaluate the antibacterial activity of Tridax procumbens extracts. The data, last updated in May 2026, shows activity is dependent on solvent type, plant part, and concentration, with complex pathogen-specific interactions. The findings support the plant as a source for antimicrobial agents in aquaculture and resistance control.
A dataset from figshare, authored by Juliana B. T. Carnielli and last updated in May 2026, identifies protein kinases in Leishmania parasites as potential drug targets. It describes using a chemical-genetic platform and CRISPR-Cas9 editing to study essential kinases like CRK9 and KKT2. The data is provided in an XLSX file under a CC-BY-4.0 license.
30.0 KB of raw data from a study on coral resilience submitted to Coral Reefs. Jennifer Ha and colleagues measured tank conditions (temperature, salinity, pH, dissolved oxygen, light) during experiments exposing Porites astreoides and Diploria labyrinthiformis larvae to varying oxygen levels. The data supports findings that early life stages of these coral species showed no significant settlement or survival changes under mild and severe deoxygenation.
Tabular data from an experiment testing the effects of deoxygenation on coral larval settlement and early recruit survival. The dataset contains treatment tank light levels supporting a manuscript submitted to Coral Reefs by Jennifer Ha and colleagues. The data file is 7.7 KB and was last updated on May 8, 2026.
Research from the Smithsonian Institution tested the impacts of deoxygenation on brooded larvae of Porites astreoides and broadcast-spawned larvae of Diploria labyrinthiformis. The dataset contains raw settlement counts after 72-hour assays under ambient, mild, and severe oxygen treatments. The data supports a 2026 manuscript submitted to the journal Coral Reefs.
ReGAIN provides a queryable database for investigating resistance gene co-occurrence in bacterial pathogens. The dataset, created by Elijah Bring Horvath and last updated in May 2026, uses Bayesian network structure learning to map relationships between resistance genes and optionally includes stress, heavy metal resistance, and virulence determinants. It is a 17.0 MB collection of CSV and HTML files.
A modelled raster dataset ranks every pixel in Victoria, Australia, on a 0-100 scale for relative biodiversity importance. The dataset integrates habitat distribution models for vascular plants and vertebrate fauna, analyzed using Zonation v5 software. It was published by the Department of Energy, Environment and Climate Action and last updated in April 2026.
Molecular expression data from a study of spontaneous breast cancer in Tientsin Albino 2 (TA2) mice, related to mouse mammary tumor virus infection and pregnancy. The dataset includes measurements of FGF3, FGFR2, STAT3, and phosphorylated STAT3 in serum, normal mammary tissue, and cancer tissue across different pregnancy states, as well as results from cell line (MA-891) experiments and human breast cancer sample analysis. The 34.5 KB document was authored by Jiaxing Du and last updated on 2026-05-13.
Jiaxing Du's research dataset investigates the FGFR2/STAT3 signaling pathway in spontaneous breast cancer development in TA2 mice. The study includes data on protein expression levels (FGF3, FGFR2, STAT3, p-STAT3) in mouse serum and tissues across different pregnancy counts, as well as cell line (MA-891) experiments and analysis of 139 human breast cancer cases. The dataset was last updated on 2026-05-13.